International Journal of Electronics and Telecommunications

[1] V. S. Maraev, “Time series visualization Tools in space research. Volume 1”, Research of science city, vol. 4, no. 22, 2017
[2] G.G. Kantorovich, “Analysis of temporal rows. Lecture and methodical materials”, Economic Journal of the Higher School of Economics, no. 3, 2002, pp. 379-701.
[3] M. S. Vershinina, “Analysis of assumptions about the stationarity of some temporal series”, Collection of the all-Russian conference on mathematics with international participation "IAC-2018", Barnaul: AltSU University, 2018, pp. 172-176.
[4] R. M. De Jong, C. Amsler, and P. Schmidt, “A robust version of the KPSS test, based on indicators”, J. Econometrics, vol. 137, no. 2, 2007, pp. 311–333.
[5] W. Wojcik, T. Bieganski, A, Kotyra, and A, Smolarz, "Application of forcasting algorithms in the optical fiber coal dust burner monitoring system", Proc. SPIE 3189, Technology and Applications of Light Guides, (5 August 1997); https://doi.org/10.1117/12.285618
[6] K. O. Kizbikenov, “Prognostication and temporary series: textbook by K. O. Kizbikenov”, Barnaul: AltSPU, 2017.
[7] V. S. Korolyuk, N. I. Portenko, A. V. Skorokhod, A. F. Turbin (eds.) “Handbook of probability theory and mathematical statistics”, Moscow: Nauka, 2005.
[8] G. Box, G. Jenkins, “Time Series Analysis: Forecasting and Control,” San Francisco: Holden-Day, 1970.
[9] I Rizkya, K Syahputri, R. M.Sari, I. Siregar and J. Utaminingrum, “Autoregressive Integrated Moving Average (ARIMA) Model of Forecast Demand in Distribution Centre,” Department of Industrial Engineering, Faculty of Engineering, Universitas Sumatera Utara in IOP Conf. Series: Materials Science and Engineering 598, 2019, 012071.
[10] N.Albanbay, B.Medetov, M. A. Zaks, “Statistics of Lifetimes for Transient Bursting States in Coupled Noisy Excitable Systems,” Journal of Computational and Nonlinear Dynamics. vol. 15, no. 12, 2020, https://doi.org/10.1115/1.4047867

[1] P. Lustenberger, F. Schumacher, M. Spada, P. Burgherr, and B. Stojadinovic, ”Assessing the performance of the European natural gas network for selected supply disruption scenarios using open-source information”, Energies 12, 1–28 (2019). https://doi.org/10.3390/en12244685
[2] S. Kakuma, and K. Noda, ”Practical and Sensitive Measurement of Methane Gas Concentration Using a 1.6 μm Vertical–Cavity–Surface– Emitting–Laser Diode”, Sensors and Materials 22 (7), 365–375 (2010).
[3] K. L. Su, Y. L. Liao, S. W. Shiau, and J. H. Guo, ”Bayesian-Estimation– Algorithm-Based Gas Detection Modules”, Sensors and Materials 25 (6), 397–402 (2013).
[4] Y. Xia, J. Wang, L. Xu, X. Li, and S. J. Huang, ”A roomtemperature methane sensor based on Pd-decorated ZnO/rGO hybrids enhanced by visible light photocatalysis”, Sensors and Actuators B:Chemical 304, DOI: 10.1016/j.snb.2019.127334 (2020). https://doi.org/10.1016/j.snb.2019.127334
[5] T. Long, E. Li, L. Yang, J. F. Fan, and Z. Z. Lian, ”Analysis and design of an effective light interference methane sensor based on threedimensional optical path model”, Journal of Sensors Article ID 1342593, 1-11 (2018). https://doi.org/10.1155/2018/1342593
[6] Q. Xiao, J. Li, Z. Bai, J. Sun, N. Zhou, and Z. Zeng, ”A small leak detection method based on VMD adaptive de-noising and ambiguity correlation classification intended for natural gas pipelines”, Sensors 12, 1-16 (2016). https://doi.org/10.3390/s16122116
[7] Z. M. Zhou, J. Zhang, X. S. Huang, and X. S. Guo, ”Experimental study on distributed optical-fiber cable for high-pressure buried natural gas pipeline leakage monitoring”, Optical Fiber Technology 53, Article ID 102028 (2019). https://doi.org/10.1016/j.yofte.2019.102028
[8] T. Jia, T. Guo, X. Wang, D. Zhao, C. Wang, Z. Zhang, S. Lei, W. Liu, H. Liu, and X. Li, ”Mixed Natural Gas Online Recognition Device Based on a Neural Network Algorithm Implemented by an FPGA”, Sensors 19 (9), 1-16 (2019). https://doi.org/10.3390/s19092090
[9] A. X. He, J. Yu, G. F. Wei, Y. Chen, H. Wu, and Z. A. Tang, ”A. Short-time fourier transform and decision tree-based pattern recognition for gas identification using temperature modulated microhotplate gas sensors”, Journal of Sensors Article ID 7603931, 1-12 (2016). https://doi.org/10.1155/2016/7603931
[10] Z. Y. Yang, M. Yin, J. G. Xu, and W. Lin, ”Spatial evolution model of tourist destinations based on complex adaptive system theory: a case study of Southern Anhui, China”, Journal of Geographical Sciences 29 (8), 1411–1434 (2019). https://doi.org/10.1007/s11442-019-1669-z
[11] L. W. Tian, D. J. Moschandreas, J. H. Hao, ”The impact of kitchen activities on indoor pollutant concentrations”, Indoor and Built Environment 17 (4), 377–383 (2008). https://doi.org/10.1177/1420326x08094626
[12] N. Hu, S. D. Liu, Y. Q. Gao, J. P. Xu, X. Zhang, Z. Zhang, and X. H. Lee, ”Large methane emissions from natural gas vehicles in Chinese cities”, Atmospheric Environment 187, 374–380 (2018). https://doi.org/10.1016/j.atmosenv.2018.06.007
[13] Y. Li, C. Hu, C. Huang, and L. Duan, ”The concept of smart tourism in the context of tourism information services”, Tourism Management 58, 293-300 (2016). https://doi.org/10.1016/j.tourman.2016.03.014
[14] P. Zhao, R. Zhuo, S. Li, C. Shu, B. Laiwang, Y. Jia, Y. Shi, and L. Suo, ”Analysis of advancing speed effect in gas safety extraction channels and pressure-relief gas extraction”, Fuel 265, Article ID 116825 (2020). https://doi.org/10.1016/j.fuel.2019.116825
[15] E. R. S. Jaclyn, N. N. A. Franz, C. M. J. Fernando, and M. D. Fabian, ”Developing a chemical and hazardous waste inventory system”, Journal of Chemical Health and Safety 18 (6), 15–18 (2011). https://doi.org/10.1016/j.jchas.2011.05.012
[16] F. Mehraliyev, Y. Choi, and M. A. Koseoglu, ”Progress on smart tourism research”, Journal of Hospitality and Tourism Technology 10, 522-538 (2019). https://doi.org/10.1108/jhtt-08-2018-0076
[17] F. Mehraliyev, I. C. C. Chan, Y. Choi, and M. A. Koseoglu, ”A state-of-the-art review of smart tourism research”, Journal of Travel and Tourism Marketing 37 (1), 78–91 (2020). https://doi.org/10.1080/10548408.2020.1712309
[18] M. Pastell, J. Hietaoja, J. Yun, J. Tiusanen, and A. Valros, ”Predicting farrowing of sows housed in crates and pens using accelerometers and CUSUM charts”, Computers and Electronics in Agriculture 127, 197–203 (2016). https://doi.org/10.1016/j.compag.2016.06.009
[19] S. C. Chapra, ”Applied Numerical Methods with MATLAB for Engineers and Scientists”, McGraw-Hill, New York, 2001.
[20] Q. Liu, Y. Tian, and B. Kang, ”Derive knowledge of Znumber from the perspective of Dempster–Shafer evidence theory”, Applications of Artificial Intelligence 85, 754–764 (2019). https://doi.org/10.1016/j.engappai.2019.08.005
[21] D. Su, Q. Shi, H. Xu, ”Nonintrusive Load Monitoring Based on Complementary Features of Spurious Emissions”, Electronics 8 (9), 1-13 (2019). https://doi.org/10.3390/electronics8091002
[22] Y. S. Chen, ”Research on Self-Validating Methods for Metal Oxide Semiconductor Gas Sensor Arrays”, Doctor’s Thesis, Harbin Institute of Technology, Harbin, China, (2017).

[1] Zou, Xiuming, Lei Feng, and Huaijiang Sun. "Compressive Sensing of Multichannel EEG Signals Based on Graph Fourier Transform and Cosparsity." Neural Processing Letters (2019): 1-10.
[2] Tayyib, Muhammad, Muhammad Amir, Umer Javed, M. Waseem Akram, Mussyab Yousufi, Ijaz M. Qureshi, Suheel Abdullah, and Hayat Ullah. "Accelerated sparsity-based reconstruction of compressively sensed multichannel EEG signals." PLoS One 15, no. 1 (2020): e0225397.
[3] Şenay, Seda, Luis F. Chaparro, Mingui Sun, and Robert J. Sclabassi. "Compressive sensing and random filtering of EEG signals using Slepian basis." In 2008 16th European Signal Processing Conference, pp. 1-5. IEEE, 2008.
[4] Gurve, Dharmendra, Denis Delisle-Rodriguez, Teodiano Bastos-Filho, and Sridhar Krishnan. "Trends in Compressive Sensing for EEG Signal Processing Applications." Sensors 20, no. 13 (2020): 3703.
[5] Amezquita-Sanchez, Juan P., Nadia Mammone, Francesco C. Morabito, Silvia Marino, and Hojjat Adeli. "A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer’s disease using EEG signals." Journal of Neuroscience Methods 322 (2019): 88-95.
[6] R. DeVore, "Nonlinear approximation." Acta Numerica, 7, 51-150. (1998).
[7] A. Einstein, B. Podolsky, N. Rosen, 1935, “Can quantum-mechanical description of physical reality be considered complete?”, Phys. Rev. 47, 777-780.
[8] R. G. Baraniuk, "Compressive sensing, IEEE Signal Proc." Mag 24, no. 4 (2007): 118-120.
[9] Upadhyaya, Vivek, and Mohammad Salim. "Basis & Sensing Matrix as key effecting Parameters for Compressive Sensing." In 2018 International Conference on Advanced Computation and Telecommunication (ICACAT), pp. 1-6. IEEE, 2018.
[10] E. Candes, “Compressive sampling”, In Proc. Int. Congress of Math., Madrid, Spain, Aug. 2006.
[11] E. Candes, J. Romberg, “Quantitative robust uncertainty principles and optimally sparse decompositions”, Found. Compute. Math., 6(2): 227-254, 2006.
[12] E. Candes, J. Romberg, T. Tao, “Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information”. IEEE Trans. Inform. Theory, 52(2):489-509, 2006.
[13] E. Candes, J. Romberg, and T. Tao. Stable signal recovery from incomplete and inaccurate measurements. Comm. Pure Appl. Math., 59(8): 1207-1223, 2006.
[14] E. Candes and T. Tao. Near-optimal signal recovery from random projections: Universal encoding strategies? IEEE Trans. Inform. Theory, 52(12): 5406-5425, 2006.
[15] D. Donoho. Compressed sensing. IEEE Trans. Inform. Theory, 52(4):1289-1306, 2006.
[16] S. Kirolos, J. Laska, M. Wakin, M. Duarte, D. Baron, T. Ragheb, Y. Massoud, and R.G. Baraniuk, “Analog-to-information conversion via random demodulation,” in Proc. IEEE Dallas Circuits Systems Workshop, Oct. 2006, pp. 71-74.
[17] Zhang, Zhilin, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao. "Compressed sensing for energy-efficient wireless telemonitoring of noninvasive fetal ECG via block sparse Bayesian learning." IEEE Transactions on Biomedical Engineering 60, no. 2 (2012): 300-309.
[18] https://sccn.ucsd.edu/eeglab/download.php.
[19] Joshi, Amit Mahesh, Vivek Upadhyaya. "Analysis of compressive sensing for non-stationary music signal." In 2016 International Conference on Advances in Computing, Communications, and Informatics (ICACCI), pp. 1172-1176. IEEE, 2016.
[20] Wang, Zhou, Alan C. Bovik, Hamid R. Sheikh, Eero P. Simoncelli. "Image quality assessment: from error visibility to structural similarity." IEEE transactions on image processing 13, no. 4 (2004): 600-612.
[21] Nibheriya, Khushboo, Vivek Upadhyaya, Ashok Kumar Kajla. "To Analysis the Effects of Compressive Sensing on Music Signal with variation in Basis & Sensing Matrix." In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 1121-1126. IEEE, 2018.
[22] Zhang, Zhilin, Tzyy-Ping Jung, Scott Makeig, and Bhaskar D. Rao. "Compressed sensing of EEG for wireless telemonitoring with low energy consumption and inexpensive hardware." IEEE Transactions on Biomedical Engineering 60, no. 1 (2012): 221-224.

[1] M. Nowak and R. Barlik, „Poradnik inżyniera energoelektronika,” in WNT, Warszawa, pp.161-194, 1998. (in Polish)
[2] N. Mohan, W. P. Robbins, T. M. Undeland, and N. Mohan, “Solutions manual: power electronics: converters, applications, and design,” New York: Wiley, 1989.
[3] L. Wuidart, “Topologies For Switched Mode Power Supplies,” STMicroelectronics, 1999.
[4] M. Zehendner and M. Ulmann, “Power Topologies Handbook,” Texas Instrument, pp.23-171, 2016.
[5] X. Weng, X. Xiao, W. He, Y. Zhou, Y. Shen, W. Zhao, and Z. Zhao, "Comprehensive comparison and analysis of non-inverting buck boost and conventional buck boost converters" The Journal of Engineering, vol. 2019, no. 16, pp. 3030–3034, 2019. DOI: 10.1049/joe.2018.8373
[6] M. Luthfansyah, S. Suyanto, and A. Bakarr Momodu Bangura, "Evaluation and Comparison of DC-DC Power Converter Variations in Solar Panel Systems Using Maximum Power Point Tracking (MPPT) Flower Pollination Algorithm (FPA) Control" E3S Web of Conferences, vol. 190, p. 00026, 2020. DOI: 10.1051/e3sconf/202019000026
[7] B. Amri and M. Ashari, "The comparative study of Buck-boost, Cuk, Sepic and Zeta converters for maximum power point tracking photovoltaic using P&O method" 2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), pp. 327-332, 2015. DOI: 10.1109/ICITACEE.2015.7437823
[8] M. V. D. de Sá and R. L. Andersen, "Dynamic modeling and design of a Cúk converter applied to energy storage systems" 2015 IEEE 13th Brazilian Power Electronics Conference and 1st Southern Power Electronics Conference (COBEP/SPEC), pp. 1-6. DOI: 10.1109/COBEP.2015.7420080, 2015
[9] B. M. M. Mwinyiwiwa and J. Dunia, "Performance Comparison between ĆUK and SEPIC Converters for Maximum Power Point Tracking Using Incremental Conductance Technique in Solar Power Applications," World Academy of Science, Engineering and Technology International Journal of Computer and Systems Engineering , vol. 7, no. 12. DOI: 10.5281/zenodo.1089293, 2013.
[10] Y. Attia and M. Youssef, "GaN on silicon E-HEMT and pure silicon MOSFET in high frequency switching of EV DC/DC converter: A comparative study in a nissan leaf," 2016 IEEE International Telecommunications Energy Conference (INTELEC), pp. 1-6, 2016. DOI: 10.1109/INTLEC.2016.7749112
[11] S. K. Pullabhatla, P. B. Bobba, and S. Yadlapalli, "Comparison of GAN, SIC, SI Technology for High Frequency and High Efficiency Inverters," E3S Web of Conferences, vol. 184, p. 01012, 2020. DOI: 10.1051/e3sconf/202018401012
[12] A. Deihimi and M. E. Mahmoodieh, "Analysis and control of battery‐integrated dc/dc converters for renewable energy applications" IET Power Electronics, vol. 10, no. 14, pp. 1819–1831, 2017. DOI: 10.1049/iet-pel.2016.0832
[13] R. Nowakowski and N. Tang, "Efficiency of synchronous versus nonsynchronous buck converters, " Texas Instruments, 2009. [14] Gan Systems, “GS61008T datasheet, ”, 2021 online: www.gansystems.com (2021).
[15] Infineon, “IPP030N10N5 datasheet”, Rev.2.3,2016-10-03, 2021. online: www.infineon.com.
[16] P. Grzejszczak , A. Czaplicki , M. Szymczak , R. Barlik „The impact of snubber circuits on switching energy losses in high frequency converters” Przeglad Elektrotechniczny, vol. 96, no. 06, pp 93-97, 2020, (in Polish). DOI: 10.15199/48.2020.06.17
[17] GN012 Application Guide Design with GaN Enhancement Mode HEMT, , 2021 online: www.gansystems.com (2021).
[18] M. Koszel and P. Grzejszczak, "Power loss estimating in GaN E-HEMT based synchronous buck-boost converter," 2020 Progress in Applied Electrical Engineering (PAEE), 2020, pp. 1-6. DOI: 10.1109/PAEE50669.2020.9158576
[19] D. Craig, "Common misconceptions about the MOSFET body diode," GaN Systems, 23-Oct-2019. online: https://gansystems.com/newsroom/common-misconceptions-about-the-mosfet-body-diode/ (2021)

[1] Y. Zhou, B. Xu and Y. Chiu, “A 12-b 1-GS/s 31.5-mW Time-Interleaved SAR ADC With Analog HPF-Assisted Skew Calibration and Randomly Sampling Reference ADC,” IEEE Journal of Solid-State Circuits 54, 8, 2207-2218, (2019). https://doi.org/10.1109/JSSC.2019.2915583.
[2] D. Oh, J. Kim, D. Jo, W. Kim, D. Chang and S. Ryu, “A 65-nm CMOS 6-bit 2.5-GS/s 7.5-mW 8 x Time-Domain Interpolating Flash ADC With Sequential Slope-Matching Offset Calibration,” IEEE Journal of Solid-State Circuits 54, 1, 288- 297,(2019). https://doi.org/10.1109/JSSC.2018.2870554.
[3] A. Wu, J. Wu, and J. Huang, “Energy-efficient switching scheme for ultra-low voltage SAR ADC.”, Analog Integr Circ Sig Process 90, 507–511, (2017). https://doi.org/10.1007/s10470-016-0892-0
[4] M. Guo, J. Mao, S. Sin, H. Wei and R. P. Martins, “A 1.6- GS/s 12.2-mW Seven-/Eight-Way Split Time-Interleaved SAR ADC Achieving 54.2-dB SNDR With Digital Background Timing Mismatch Calibration,”IEEE Journal of Solid-State Circuits 55, 3,693-705, (2020). https://doi.org/10.1109/JSSC.2019.2945298.
[5] M. Davidovic, G. Zach, H. Zimmermann, “An 11-bit successive approximation analog-to-digital converter based on a combined capacitor-resistor network.”, Elektrotech. Inftech. 127, 98–102, (2010). https://doi.org/10.1007/s00502-010-0704-7
[6] D. Chang, W. Kim, M. Seo, H. Hong, and S. Ryu, “Normalized- Full-Scale-Referencing Digital-Domain Linearity Calibration for SAR ADC.”, IEEE Transactions on Circuits and Systems I: Regular Papers. 64, 2, 322-332 (2017). https://doi.org/10.1109/TCSI.2016.2612692
[7] M. Shim et al.,“Edge-Pursuit Comparator: An Energy-Scalable Oscillator Collapse-Based Comparator With Application in a 74.1 dB SNDR and 20 kS/s 15 b SAR ADC”, IEEE Journal of Solid-State Circuits 52, 4, 1077-1090, (2017). https://doi.org/10.1109/JSSC.2016.2631299
[8] D. Zhang and A. Alvandpour, “A 12.5-ENOB 10-kS/s Redundant SAR ADC in 65-nm CMOS”, IEEE Transactions on Circuits and Systems II: Express Briefs 63, 3, 244-248, (2016). https://doi.org/10.1109/TCSII.2015.2482618.
[9] S.A. Zahrai, M. Onabajo, “ Review of Analog-To-Digital Conversion Characteristics and Design Considerations for the Creation of Power- Efficient Hybrid Data Converters.”, J. Low Power Electron. Appl. 8, 12, (2018). https://doi.org/10.3390/jlpea8020012
[10] S.Taheri, J. Lin, J. S. Yuan,“Security Interrogation and Defense for SAR Analog to Digital Converter.”, Electronics 6, 48, (2017). https://doi.org/10.3390/electronics6020048
[11] J. Kim, B. Sung, W. Kim and S. Ryu, “A 6-b 4.1-GS/s Flash ADC With Time-Domain Latch Interpolation in 90-nm CMOS”, IEEE Journal of Solid-State Circuits 48, 6, 1429-1441, (2013). https://doi.org/10.1109/JSSC.2013.2252516
[12] S. Danesh, J. Hurwitz, K. Findlater, D. Renshaw and R. Henderson, “A Reconfigurable 1 GSps to 250 MSps, 7-bit to 9-bit Highly Time-Interleaved Counter ADC with Low Power Comparator Design”, IEEE Journal of Solid-State Circuits 48, 3, 733-748, (2013). https://doi.org/10.1109/JSSC.2013.2237672
[13] L. Wang, M. LaCroix and A. C. Carusone, “A 4-GS/s Single Channel Reconfigurable Folding Flash ADC for Wireline Applications in 16-nm FinFET.”, IEEE Transactions on Circuits and Systems II: Express Briefs 64, 12, 1367-1371, (2017). https://doi.org/10.1109/TCSII.2017.2726063
[14] F. M´arquez, et al., “A novel autozeroing technique for flash Analog-to-Digital converters.”, Integration 47, 1, 23-29, (2014). https://doi.org/10.1016/j.vlsi.2013.06.002
[15] Masumeh Damghanian, Seyed Javad Azhari, “A low-power 6-bit MOS CML flash ADC with a novel multi-segment encoder for UWB applications.”, Integration 57, 158-168, (2017). https://doi.org/10.1016/j.vlsi.2017.01.006
[16] Y. Wang, M. Yao, B. Guo, Z. Wu, W. Fan and J. J. Liou, “A Low-Power High-Speed Dynamic Comparator With a Transconductance-Enhanced Latching Stage,” IEEE Access 7, 93396- 93403,(2019). https://doi.org/10.1109/ACCESS.2019.2927514.
[17] A. Khatak, M. Kumar, S. Dhull, “An Improved CMOS Design of Op-Amp Comparator with Gain Boosting Technique for Data Converter Circuits.”, J. Low Power Electron. Appl. 8, 33, (2018). https://doi.org/10.3390/jlpea8040033.
[18] B. Hershberg et al., “3.6 A 6-to-600MS/s Fully Dynamic Ringamp Pipelined ADC with Asynchronous Event-Driven Clocking in 16nm,” 2019 IEEE International Solid- State Circuits Conference - (ISSCC), San Francisco, CA, USA 68-70, (2019). https://doi.org/10.1109/ISSCC.2019.8662319.
[19] U. Chio et al., “Design and Experimental Verification of a Power Effective Flash-SAR Sub ranging ADC.”, IEEE Transactions on Circuits and Systems II: Express Briefs 57, 8, 607-611, (2010). https://doi.org/10.1109/TCSII.2010.2050937
[20] Young-Deuk Jeon et al., “A dual-channel pipelined ADC with sub-ADC based on flash-SAR architecture.”, Circuits and Systems II: Express Briefs 59, 741-745. (2012). https://doi.org/10.1109/TCSII.2012.2222837
[21] Y. Lin et al.,“ A 9-Bit 150-MS/s Subrange ADC Based on SAR Architecture in 90-nm CMOS.”, IEEE Transactions on Circuits and Systems I: Regular Papers 60, 3, 570-581, (2013). https://doi.org/10.1109/TCSI.2012.2215756
[22] J.I. Lee, J. Song, “Flash ADC architecture using multiplexers to reduce a preamplifier and comparator count.”, 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013) 1-4, (2013). https://doi.org/10.1109/TENCON.2013.6718487
[23] A. Esmailiyan, F. Schembari and R. B. Staszewski, “A 0.36-V 5-MS/s Time-Mode Flash ADC With Dickson-Charge-Pump- Based Comparators in 28-nm CMOS,”IEEE Transactions on Circuits and Systems I: Regular Papers 67, 6, 1789-1802, (2020). https://doi.org/10.1109/TCSI.2020.2969804.
[24] J. Xu, et al., “Low-leakage analog switches for low-speed sample-and-hold circuits”, Microelectronics Journal 76, 22–27, (2018). https://doi.org/10.1016/j.mejo.2018.04.008
[25] M. Nazari, L. Sharifi,A. Aghajani, and O. Hashemipour, “A 12-bit high performance current-steering DAC using a new binary to thermometer decoder.”, 2016 24 Iranian Conference on Electrical Engineering (ICEE), Shiraz 2016 1919-1924, (2016). https://doi.org/10.1109/IranianCEE.2016.7585835
[26] H.S. Bindra et al., “A 1.2-V Dynamic Bias Latch-Type Comparator in 65-nm CMOS With 0.4-mV Input Noise.”, IEEE Journal of Solid-State Circuits 53, 7, 1902-1912, (2018). https://doi.org/10.1109/JSSC.2018.2820147
[27] A. Taghizadeh, Z.D. Koozehkanani, J. Sobhi, “A new high-speed lowpower and low-offset dynamic comparator with a current-mode offset compensation technique.”, AEU - Int. J. Electron. Commun. 81, 163–170, (2018). https://doi.org/10.1016/j.aeue.2017.07.018.
[28] M. Saberi and R. Lotfi,“ Segmented Architecture for Successive Approximation Analog-to-Digital Converters.”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems 22, 3, 593-606, (2014). https://doi.org/10.1109/TVLSI.2013.2246592
[29] Y. Haga et al., “Design of a 0.8 Volt fully differential CMOS OTA using the bulk-driven technique.”, 2005 IEEE International Symposium on Circuits and Systems 1, 220-223, (2005). https://doi.org/10.1109/ISCAS.2005.1464564.
[30] J. Lagos, B. P. Hershberg, E. Martens, P. Wambacq and J. Craninckx, “A 1-GS/s, 12-b, Single-Channel Pipelined ADC With Dead-Zone- Degenerated Ring Amplifiers,” IEEE Journal of Solid-State Circuits 54, 3, 646-658, (2019). https://doi.org/10.1109/JSSC.2018.2889680.
[31] Y. Lim and M. P. Flynn, “A 1 mW 71.5 dB SNDR 50 MS/s 13 bit Fully Differential Ring Amplifier Based SAR-Assisted Pipeline ADC,” IEEE Journal of Solid-State Circuits 50, 12, 2901-2911, (2015). https://doi.org/10.1109/JSSC.2015.2463094
[32] B. Murmann, “The successive approximation register ADC: a versatile building block for ultra-low- power to ultra-high-speed applications.”, IEEE Communications Magazine 54, 4, 78-83, (2016). https://doi.org/10.1109/MCOM.2016.7452270
[33] T. Ogawa et al., “Non-binary SAR ADC with digital error correction for low power applications,” 2010 IEEE Asia Pacific Conference on Circuits and Systems, Kuala Lumpur196-199, (2010). https://doi.org/10.1109/APCCAS.2010.5774747.
[34] M. Hotta et al., “SAR ADC Architecture with Digital Error Correction.”. IEEJ Trans Elec Electron Eng 5, 651-659, (2010). https://doi.org/10.1002/tee.20588
[35] S. Lee, A.P. Chandrakasan and H. Lee, “A 1 GS/s 10b 18.9 mW Time-Interleaved SAR ADC with Background Timing Skew Calibration.”, IEEE Journal of Solid-State Circuits 49, 12, 2846-2856, (2014). https://doi.org/10.1109/JSSC.2014.2362851
[36] M. Damghanian and S.J. Azhari, “A novel three-section encoder in a low-power 2.3 GS/s flash ADC.”, Microelectronics J 82, 71–80, (2018). https://doi.org/10.1016/j.mejo.2018.10.009
[37] Yi. Shen and Z. Zhu, “Analysis and optimization of the twostage pipelined SAR ADCs.”, Microelectronics Journal 47, 1–5, (2016). https://doi.org/10.1016/j.mejo.2015.10.018.
[38] Rui Ma, Lisha Wang, Dengquan Li, Ruixue Ding, Zhangming Zhu,“A 10-bit 100-MS/s 5.23 mW SAR ADC in 0.18 μm CMOS.”,Microelectronics Journal 78, 63-72, (2018). https://doi.org/10.1016/j.mejo.2018.06.007
[39] X. Xin et al.,“A 0.4-V 10-bit 10-KS/s SAR ADC in 0.18 μm CMOS for low energy wireless senor network chip.”,Microelectronics Journal 83, 104–116, (2019). https://doi.org/10.1016/j.mejo.2018.11.017
[40] W. Guo, S. Liu, and Z. Zhu, “ An asynchronous 12-bit 50MS/s rail-torail Pipeline-SAR ADC in 0.18 μm CMOS.”, Microelectronics Journal 52, 23–30, (2016). https://doi.org/10.1016/j.mejo.2016.03.003
[41] B. Samadpoor Rikan et al.,“A 10-bit 1 MS / s segmented Dual-Sampling SAR ADC with reduced switching energy.”, Microelectronics Journal 70, 89–96, (2017). https://doi.org/10.1016/j.mejo.2017.11.005

[1] M. Bozzi, A. Georgiadis, and K.Wu, “Review of Substrate Integrated Waveguide (SIW) Circuits and Antennas,” IET Microwaves, Antennas and Propagation, Vol. 5, N 8,pp. 909-920, June 2011.
[2] W. Hong et al., "Structure Mode Substrate Integrated Waveguide (SIW): A New Guided Wave Structure for Microwave and Millimeter Wave Application,” Proc. Joint 31 st International Conference on Infrared Millimeter Waves and 14 th Intenational Conference on Terahertz Electronics, p.219, Shanghai, Chaina, Sept. 18-22, 2006.
[3] A. Coves, G. Torregrosa-Penalva, A. A. San-Blas, M. A. Sanchez-Soriano, A. Martellosio, E. Bronchalo, and M. Bozzi, “A Novel Band-Pass Filter Based on a Periodically Drilled SIW Structure,” Radio Science, vol. 51, No. 4, pp. 328–336, Apr. 2016.
[4] L. Silvestri, E. Massoni, C. Tomassoni, A. Coves, M. Bozzi, and L. Perregrini, “Modeling and Implementation of Perforated SIW Filters”, 2016 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), pp. 209-210, Beijing, China, Jul. 2016.
[5] D. Dealandes, and K. Wu, Single-substrate integration techniques for planarcircuitsand waveguide filters, IEEE Trans. Microwave Theory Tech. 51(2), 2003, 593–596.
[6] S. Moscato, R. Moro, M. Pasian, M. Bozzi, and L. Perregrini, “Two-material ridge substrate integrated waveguide for ultra-wideband applications,” IEEE Trans. Microw. Theory Techn., vol. 63, no. 10, pp. 3175–3182, Oct. 2015.
[7] Y.-H.Chun, J.-S.Hong, P. Bao, T. J. Jackson, andM. J. Lancaster, Tunable slotted ground structured bandstop filter with BST varactors, IET Microwaves Antennas Propagation 3(5), 2009, 870–876.
[8] J.-S. Hong, Microstrip Filters for RF/Microwave Applications, New York, NY, USA: Wiley, 2011.
[9] Bouhmidi Rachid, Bouras Bouhafs, Chetioui Mohammed “ Multi-Ports Extraction Technique for Microwave Bandpass Filter Optimization”International Journal of Microwave and Optical Technology (IJMOT) Vol 14, N°06, Nouvember 2019, pp 431-439.
[10] X.-P. Chen and K. Wu, “Substrate integrated waveguide filter: Basic design rules and fundamental structure features,” IEEE Microw. Mag., vol. 15, no. 5, pp. 108–116, Jul./Aug. 2014.
[11] Damou Mehdi, Nouri Keltouma, Chetioui Mohammed, Boudkhil Abdelhakim and Feham Mohamed “A New Technique of Optimization of HMSIW Bandpass Filter with CAR Cells Using Coupling Matrix”, IJMOT Intenational Journal Microwave Optical Technology, Vol.14, No.2, pp. 66-73, March 2019.
[12] F. Parment, A. Ghiotto, T. P. Vuong, J. M. Duchamp, and K. Wu, “Air-filled substrate integrated waveguide for low-loss and high power handling millimeter-wave substrate integrated circuits,” IEEE Trans. Microw. Theory Techn., vol. 63, no. 4, pp. 1228–1238, Apr. 2015.

[1] A. Guney, G. Önal and T. Atmaca, “New aspect of chromite gravity tailings re-processing”, Minerals Engineering, Vol., 24, no 11, pp. 1527- 1530, 2001. https://doi.org/10.1016/S0892-6875(01)00165-0.
[2] W.M. Ambrósa, C.H. Sampaioa, Bogdan G. Cazacliub, Paulo N.Conceiçãoa and Glaydson S.dos Reisab, “Some observations on the influence of particle size and size distribution on stratification in pneumatic jigs”, Powder Technology, Vol. 342, pp. 594-606, 2019. https://doi.org/10.1016/j.powtec.2018.10.029.
[3] M.V. Verkhoturov, “Gravitational enrichment methods”. Moscow: MAX Press, 2006, pp.160- 180. ISBN 5-317-01710-6.
[4] Ya-li Kuang, Jin-Wu Zhuo, Li Wang, Chao Yang, “Laws of motion of particles in a jigging process”, Journal of China University of Mining and Technology, Vol. 18, no 4, pp. 575-579, December 2008. https://doi.org/10.1016/S1006-1266(08)60297-7.
[5] S.Cierpisz. “A dynamic model of coal products discharge in a jig”, Minerals Engineering, Vol. 105, pp. 1-6, 1 May 2017. https://doi.org/10.1016/j.mineng.2016.12.010.
[6] B.A. Suleimenov and Ye.A. Kulakova, “The prospects for the use of intelligent systems in the processes of gravitational enrichment”, Informatyka, Automatyka, Pomiary w Gospodarcei Ochronie Środowiska, Vol. 9, no 2, pp. 46-49, 2019. https://doi.org/10.5604/01.3001.0013.2547.
[7] Y.R. Murthy, S.K. Tripathy, C.R. Kumar, “Chrome ore beneficiation challenges & opportunities – A review”, Minerals Engineering, Vol. 24, no 5, pp. 375-380, 2011, DOI: https://doi.org/10.1016/j.mineng.2010.12.001.
[8] L. Panda, S.K. Tripathy, “Performance prediction of gravity concentrator by using artificial neural network – A case study”. International Journal of Mining Science and Technology, Vol. 24, no 4, pp. 461-465, 2014. https://doi.org/10.1016/j.ijmst.2014.05.007.
[9] Y.R. Murthy, S.K. Tripathy, C.R. Kumar, “Chrome ore beneficiation challenges & opportunities-a review”, Minerals Engineering, Vol. 36, no 5, pp. 375-380, 2014, https://doi.org/10.1016/j.ijmst.2014.05.007.
[10] T. J. Stich, and J.K. Spoerre and T.Velasco, “The application of artificial neutral networks to monitoring and control of an induction hardening process”, Journal of Industrial Technology, Vol. 16, no 1, pp.168-174, 2015.
[11] L.Panda, A.K. Sahoo, S.K Tripathy and others, “Application of artificial neural network to study the performance of jig for beneficiation of noncoking coal”, Fuel, Vol. 97, pp. 151-156, 2012. https://doi.org/10.1016/j.fuel.2012.02.018.
[12] K. Shravan and R. Venugopal, “Performance analyses of jig for coal cleaning using 3D response surface methodology”, International Journal of Mining Science and Technology, Vol. 27, no 2, pp 333-337, March 2017.
[13] B.A. Suleimenov and E.A. Kulakova, “Development of intelligent system for optimal process control”, Resource–saving technologies of raw–material base development in mineral mining and processing: Multy–authored monograph, Universitas Publishing, Romania, Petrosani: 2020, pp.198-217. URI: ep3.nuwm.edu.ua/id/eprint/18359.
[14] V. Mashkov, A. Smolarz, V. Lytvynenko, and K. Gromaszek, “The problem of system fault-tolerance”, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, vol. 4, no. 4, pp. 41-44, 2014, https://doi.org/10.5604/20830157.1130182
[15] M. S. Islam, P. Nepal and others. “A knowledge-based expert system to assess power plant project cost overrun risks”, Expert Systems With Applications, Vol. 136, pp. 12-32, 2019. https://doi.org/10.1016/j.eswa.2019.06.030.
[16] B.A.Suleimenov and E.A Kulakova, “Creation the knowledge base of the intelligent control system for gravitational enrichment processes using expert information processing methods”, Vestnik KazNRTU, Vol. 5, no 141, pp. 590-597, October 2020.
[17] Ye.A. Kulakova and B.A. Suleimenov, “Development and Research of Intelligent Algorithms for Controlling the Process of Ore Jigging”, International Journal of Emerging Trends in Engineering Research, Vol. 8, no 9, pp. 6240-6246, September 2020. https://doi.org/10.30534/ijeter/2020/21589202.
[18] N. Siddique. “Intelligent Control”, Springer International Publishing, Switzerland, 2014, pp.54-78. https://doi.org/10.1007/978-3-319-02135-5.
[19] P.V. de Campos Souza, “Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature” Applied Soft Computing. Vol. 92, pp. 106275, July 2020. https://doi.org/10.1016/j.asoc.2020.106275.
[20] A.Tripathy, L.Panda, A.K Sahoo, S.K. Biswal, R.K Dwari, A.K. Sahu, “Statistical optimization study of jigging process on beneficiation of fine size high ash Indian non-coking coal”, Advanced Powder Technology, Vol. 27, no 4, pp. 1219-1224, 2016. https://doi.org/10.1016/j.apt.2016.04.006.
[21] A.K. Mukherjeea and B.K. Mishrab, “An integral assessment of the role of critical process parameters on jigging”, International Journal of Mineral Processing Vol. 81, no 3, pp. 187-200, December 2006. https://doi.org/10.1016/j.minpro.2006.08.005.
[22] N.(K.)M. Faber, “Estimating the uncertainty in estimates of root mean square error of prediction: application to determining the size of an adequate test set in multivariate calibration”, Chemometrics and Intelligent Laboratory Systems, Vol. 49, no 1, pp. 79-89, 6 September 1999, https://doi.org/10.1016/S0169-7439(99)00027-1.

[1] Kamala, Srinivasarao, Chauhan, Priyesh, Panda, Sanjib, Wilson, Gary, Liu, Xiong, & Gupta, Amit. (2015). Optimal scheduling of diesel generators in offshore support vessels to minimize fuel consumption. In Proc. of the IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. Yokohama, Japan, 4726–4231. https://doi.org/10.1109/IECON.2015.7392838
[2] J.M. Prousalidis, G.J. Tsekouras, F. Kanellos. (2011). New challenges emerged from the development of more efficient electric energy generation units. In Proc. IEEE Electric Ship Technologies Symposium (ESTS). Alexandria, Virginia, 374–381. https://doi.org/10.1109/ESTS.2011.5770901
[3] A. Boretti, (2019). Advantages and Disadvantages of Diesel Single and Dual-Fuel Engines. Frontiers in Mechanical Engineering, 5 (64), 1–15. https://doi.org/10.3389/fmech.2019.00064
[4] V.M. Ryabenkij, A.O. Ushkarenko, V.I. Voskoboenko, (2008). Issledovanie avtokolebatelnykh proczessov chastoty napryazheniya gazodizel-generatorov. Sbornik nauchnykh trudov NUK, 4, 113–118.
[5] G. Evangelos, Giakoumis. (2016). Review of Some Methods for Improving Transient Response in Automotive Diesel Engines through Various Turbocharging Configurations. Frontiers in Mechanical Engineering, 2, 1–18. https://doi.org/10.3389/fmech.2016.00004
[6] V.M. Ryabenkij, A.O. Ushkarenko, V.I. Voskoboenko, (2009). Oczenka neravnomernosti raspredeleniya aktivnoj moshhnosti mezhdu generatorami pri parallelnoj rabote. Tekhnichna elektrodinamika, Tem. Vipusk, 3, 76–79.
[7] Adem, Celika, Mehmet, Yilmazb, & Omer Faruk, Yildizc. (2020). Improvement of diesel engine startability under low temperatures by vortex tubes. Energy Reports, 6, 17–27. https://doi.org/10.1016/j.egyr.2019.11.027
[8] Ra, Youngchul, Reitz, Rolf, Mcfarlane, Joanna, & Daw, Stuart. (2008). Effects of Fuel Physical Properties on Diesel Engine Combustion Using Diesel and BioDiesel Fuels. SAE International Journal of Fuels and Lubricants, 1, 703–718. https://doi.org/10.4271/2008-01-1379
[9] Yasin, Karagoz, Tarkan, Sandalci, Umit O, Koylu, Ahmet Selim, Dalkilic, & Somchai, Wongwises. (2016). Effect of the use of natural gas-diesel fuel mixture on performance, emissions, and combustion characteristics of a compression ignition engine. Advances in Mechanical Engineering, 8 (4), 1–13. https://doi.org/10.1177/1687814016643228
[10] Yoshihiko, Oishi, Riky Stepanus, Situmorang, Rio Arinedo, Sembiring, Hideki, Kawai, & Himsar, Ambarita. (2019). Performance, rate of heat release, and combustion stability of dual fuel mode in a small diesel engine. Energy Science and Engineering, 7, 1333–1351. https://doi.org/10.1002/ese3.352
[11] Irfan, Muhammad, Ermanu, A.H., Suhardi, Diding, Kasan, N., Effendy, Machmud, Pakaya, Ilham, & Faruq, Amrul. (2018). A design of electrical permanent magnet generator for rural area wind power plant. International Journal of Power Electronics and Drive Systems, 9, 269–275. https://doi.org/10.11591/ijpeds.v9n1.pp269-275
[12] Boonyang, Plangklang, Sittichai, Kantawong, & Akeratana, Noppakant. (2013). Study of Generator Mode on Permanent Magnet Synchronous Motor (PMSM) for Application on Elevator Energy Regenerative Unit (EERU). Energy Procedia, 34, 382–389. https://doi.org/10.1016/j.egypro.2013.06.766
[13] A. Ablesimov, V. Yatskovsky, (2013). Stability of automatic control systems. Electronics and Control Systems, 4 (38), 54–59. https://doi.org/10.18372/1990-5548.38.7278
[14] Cheikh, Mansoura, Abdelhamid, Bounifa, Abdelkader, Arisa, & Françoise, Gaillardb. (2001). Gas-Diesel (dual-fuel) modeling in diesel engine environment. International Journal of Thermal Sciences, 40 (4), 409–424. https://doi.org/10.1016/S1290-0729(01)01223-6
[15] V. Ryabenkiy, O. Ushkarenko, (2012). Optimization of the Controller`S Parameters of the Gas-diesel Generator Unit. In Proc. International Conference Modern Problems of Radio Engineering, Telecommunications, and Computer Science (TCSET’2012). Lviv, Ukraine, 460–461.
[16] Haes Alhelou, Hassan, Hamedani, Golshan, Mohamad, Esmail, Njenda, Takawira, & Siano, Pierluigi. (2019). A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges. Energies, 12, 1–28. https://doi.org/10.3390/en12040682.
[17] V. Ryabenkiy, A. Ushkarenko, Al-Suod, Mahmoud Mohammad. (2012). Reduction of Frequency Oscillation of the Gas-diesel Generator Units. In Proc. International Conference Modern Problems of Radio Engineering, Telecommunications, and Computer Science (TCSET’2012). Lviv, Ukraine, 447–448.
[18] Mahmoud Mohammad Salem, Al-suod, A.O. Ushkarenko, O.I. Dorogan, (2015). Optimization of the structure of diesel-generator units of ship power system. International Journal of Advanced Computer Research, 5 (18), 68–74.

[1] Janice, “What Is Telepresence Technology?”, 2017. Retrieved from: https://www.eztalks.com/video-conference/what-is-telepresence-technology.html
[2] Malczewski. K.,“The Rise of Telepresence Robots for Business and Beyond”, 2014. Retrieved from: https://www.factor- tech.com/roundup/this-week-facial-recognition-used-to-capture-fugitive-spacex-commits-to-city-to-city-rocket-travel-and-uk-reveals-it-launched-a-cyber-attack-on-islamic-state/
[3] Kerruish, E. “Lessons on telepresence from the Mars explorer Rovers: Merleau-Ponty and the open perceptual circuit. Culture”, Theory and Critique, 1-15, 2019.
[4] Mould, R. F., “Chernobyl record: the definitive history of the Chernobyl catastrophe”, CRC Press, 2000.
[5] Kratz, S., Vaughan, J., Mizutani, R., & Kimber, D. „Evaluating stereoscopic video with head tracking for immersive teleoperation of mobile telepresence robots”. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts (pp. 43-44). ACM, 2015.
[6] Wen, M. C., Yang, C. H., Tsai, M. H., & Kang, S. C., “Teleyes: A telepresence system based on stereoscopic vision and head motion tracking”. Automation in Construction, 89, 199-213, 2018.
[7] Pinter, M., Lai, F., Sanchez, D. S., Ballantyne, J., Roe, D. B., Wang, Y., ... & Wong, C. W., U.S. Patent No. 9,776,327. Washington, DC: U.S. Patent and Trademark Office, 2017.
[8] Lester, D. F., Hodges, K. V., & Anderson, R. C., “Exploration telepresence: A strategy for optimizing scientific research at remote space destinations”. Science Robotics, 2(7), Art-No, 2017.
[9] Nakashima, R., & Shioiri, S., “Why do we move our head to look at an object in our peripheral region? Lateral viewing interferes with attentive search”. PloS One, 9(3), e92284, 2014.
[10] Sadik, M. J., & Lam, M. C., „Stereoscopic Vision Mobile Augmented Reality System Architecture in Assembly Tasks”. J Eng Appl Sci, 12, 2098-2105, 2017.
[11] Raja, D. DC Motor Control with Raspberry-Pi, 2016 Retrieved from https://circuitdigest.com/microcontroller-projects/controlling-dc-motor-using-raspberry-pi.

[1] Gong Yonglin. The hot spots of printed circuit technology in 2020. Printed Circuit Information, 28(2):1–11, 2020.
[2] Myeonghoon Oh, Youngwoo Kim, Hag Young Kim, Young Kyun Kim, and Jinsung Kim. Wire optimization and delay reduction for highperformance on-chip interconnection in gals systems. Etri Journal, 39(4):582–591, 2017.
[3] YuanWei-Qun, Song Jian-Yuan, Chen Shi-Rong, Suntak Technology Co, and LTD. Research and optimization design of high-speed pcb based on signal integrity. Journal of Guangdong University of Technology, 36(6):74–79, 2019.
[4] L.W.; Zhao Z.L. Yang, C.Z.; De. Research on signal integrity in high speed digital pcb board design. Automation and Instrumentation, (9):1– 4, 2018.
[5] YuanWei-Qun, Song Jian-Yuan, Chen Shi-Rong, Suntak Technology Co, and LTD. Research and optimization design of high-speed pcb based on signal integrity. Journal of Guangdong University of Technology, 36(6):74–79, 2019.
[6] Zhang Min. Signal integrity and design optimization of high speed parallel bus interface. Wireless Internet Technology, 15(6):3–4, 2019.
[7] Nastaran Soleimani, Mohammad G H Alijani, and Mohammad Hassan Neshati. Crosstalk analysis of multi-microstrip coupled lines using transmission line modeling. International Journal of Rf and Microwave Computer-aided Engineering, 29(6), 2019.
[8] Y.; Wen C.L. Yong, J.H.; Ting. PADS software foundation and application examples. Publishing House of Electronics Industry, 2019.
[9] Teng Li. A study on si simulation of high-speed interconnection channel. Electronics and Packaging, 18(12):37–40, 2018.
[10] H. Sasaki, M. Kanazawa, T. Sudo, A. Tomishima, and T. Kaneko. New frequency dependent target impedance for ddr3 memory system. pages 1–4, 2011.
[11] C. Liao, B. Mutnury, C. Chen, and Y. Lee. Pcb stack-up design and optimization for next generation speeds. In 2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS), pages 155–158, 2016.
[12] Nastaran Soleimani, Mohammad GH Alijani, and Mohammad H Neshati. Crosstalk analysis at near-end and far-end of the coupled transmission lines based on eigenvector decomposition. AEU-International Journal of Electronics and Communications, 112:152944, 2019.
[13] X. Ye and C. Ye. Transmission lines and basic signal integrity. In 2018 IEEE Symposium on Electromagnetic Compatibility, Signal Integrity and Power Integrity (EMC, SI PI), pages 1–51, 2018.
[14] Wang Xiaojing, Ye Ming, and Ma Yan. Research crosstalk between parallel interconnects. Electronic Measurement Technology, 2015.
[15] J. Fan, X. Ye, J. Kim, B. Archambeault, and A. Orlandi. Signal integrity design for high-speed digital circuits: Progress and directions. IEEE Transactions on Electromagnetic Compatibility, 52(2):392–400, 2010.
[16] Dong Zhang, L. I. Qiong, and Qianqin Qin. Application of simulation analysis based on ibis model to sdram pcb design. Journal of Wuhan University, 2011.
[17] A. K. Pandey. Power-aware signal integrity analysis of ddr4 data bus in onboard memory module. In 2016 IEEE 20th Workshop on Signal and Power Integrity (SPI), pages 1–4, 2016.
[18] Nastaran Soleimani, Mohammad GH Alijani, and Mohammad H Neshati. Crosstalk analysis of multi-microstrip coupled lines using transmission line modeling. International Journal of RF and Microwave Computer-Aided Engineering, 29(6):e21677, 2019.
[19] S. M¨uller, T. Reuschel, R. Rimolo-Donadio, Y. H. Kwark, H. Br¨uns, and C. Schuster. Energy-aware signal integrity analysis for high-speed pcb links. IEEE Transactions on Electromagnetic Compatibility, 57(5):1226– 1234, 2015.
[20] Jie Tang, Yi Gong, and Zhen Guo Yang. Failure analysis on cracking of blind and buried vias of printed circuit board for high-end mobile phones. Soldering and Surface Mount Technology, 31(4), 2019.
[21] Liu Lu, Cao Yuesheng, and Duo Ruihua. Design and realization of high-density fdr interconnection switch board. Computer Engineering, (6):3, 2016.
[22] M S Al Salameh and M M Ababneh. Selecting printed circuit board parameters using swarm intelligence to minimize crosstalk between adjacent tracks. International Journal of Numerical Modelling-electronic Networks Devices and Fields, 28(1):21–32, 2015.

[1] A. Borys, “Spectrum aliasing does not occur in case of ideal signal sampling,” Intl Journal of Electronics and Telecommunications, vol. 67, no. 1, pp. 71-77, 2021.
[2] J. H. McClellan, R. Schafer, M. Yoder, DSP First. London, England: Pearson, 2015.
[3] M. Vetterli, J. Kovacevic, V. K. Goyal, Foundations of Signal Processing. Cambridge, England: Cambridge University Press, 2014.
[4] A. V. Oppenheim, R. W. Schafer, J. R. Buck, Discrete-Time Signal Processing. New Jersey, USA: Prentice Hall, 1998.
[5] R. J. Marks, Introduction to Shannon Sampling and Interpolation Theory. New York, USA: Springer-Verlag, 1991.
[6] R. N. Bracewell, The Fourier Transform and Its Applications. New York, USA: McGraw-Hill , 2000.
[7] V. K. Ingle, J. G. Proakis, Digital Signal Processing Using Matlab. Stamford, CT, USA: Cengage Learning, 2012.
[8] P. Prandoni, M. Vetterli, Signal Processing for Communications. Lausanne, Switzerland: EPFL Press, 2008.
[9] N.T. Thao, M. Vetterli, “Deterministic analysis of oversampled A/D conversion and decoding improvement based on consistent estimates”, IEEE Transactions on Signal Processing, vol. 42, no. 3, pp. 519-531, 1994.
[10] K. Adam, A. Scholefield, M. Vetterli, “Encoding and Decoding Mixed Bandlimited Signals Using Spiking Integrate-and-Fire Neurons”, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 9264-9268, May 2020.
[11] R. Alexandru, P. L. Dragotti, “Reconstructing classes of non-bandlimited signals from time encoded information”, IEEE Transactions on Signal Processing, vol. 68, pp. 747-763, 2020.
[12] A. Lazar, L. T. Toth, “Perfect recovery and sensitivity analysis of time encoded bandlimited signals,” IEEE Transactions on Circuits and Systems – I: Regular Papers, vol. 51, no. 10, pp. 2060-2073, 2004.
[13] J. A. Urigueen, T. Blu, P. L. Dragotti, “FRI Sampling with arbitrary kernels”, IEEE Transactions on Signal Processing, vol. 61, pp. 5310-5323, 2013.
[14] M. Vetterli, P. Marziliano, T. Blu, “Sampling signals with finite rate of innovation”, IEEE Transactions on Signal Processing, vol. 50, no. 6, pp. 1417-1428, 2002.
[15] P. L. Dragotti, M. Vetterli, and T. Blu, “Sampling moments and recon- structing signals of finite rate of innovation: Shannon meets strang-fix,” IEEE Transactions on Signal Processing, vol. 55, no. 5, pp. 1741-1757, 2007.
[16] R. Tur, Y. C. Eldar, Z. Friedman, “Innovation rate sampling of pulse streams with application to ultrasound imaging,” IEEE Transactions on Signal Processing, vol. 59, no. 4, pp. 1827-1842, 2011.
[17] M. Unser, “Sampling – 50 years after Shannon,” Proceedings of the IEEE, vol. 88, no. 4, pp. 569-587, 2000.
[18] G. Ortiz-Jimenez, M. Coutino, S. P. Chepuri, G. Leus, “Sparse sampling for inverse problems with tensors”, IEEE Transactions on Signal Processing, vol. 67, no. 12, pp. 3272-3286, 2019.
[19] S. P. Chepuri, G. Leus, “Graph sampling for covariance estimation”, IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 3, pp. 451-466, 2017.
[20] M. R. D. Rodrigues, Y. C, Eldar, Information-Theoretic Methods in Data Science. Cambridge, England: Cambridge University Press, 2021.
[21] M. R. D. Rodrigues, H. Bölcskei, S. Draper, Y. Eldar, V. Tan, “Introduction to the issue on information-theoretic methods in data acquisition, analysis, and processing”, IEEE Journal on Selected Topics in Signal Processing, vol. 66, no. 9, pp. 2314-2329, 2018.
[22] G. Matz, H. Bölcskei, and F. Hlawatsch, “Time-frequency foundations of communications”, IEEE Signal Processing Magazine, vol. 30, no. 6, pp. 87-96, 2013.
[23] Y. Eldar, H. Bölcskei, “Geometrically uniform frames”, IEEE Transactions on Information Theory, vol. 49, no. 4, pp. 993-1006, 2003.
[24] Y. Kopsinis, K. Slavakis, S. Theodoridis “On line sparse system identification and signal reconstruction using projections onto weighted l1 balls”, IEEE Transactions on Signal Processing, vol. 59, no. 3, pp. 936-952, 2011.
[25] A. Morgado, R. del Río, J.M. de la Rosa, “High-efficiency cascade sigma-delta modulators for the next generation software-defined-radio mobile systems,” IEEE Trans. on Instrumentation and Measurement, vol. 61, pp. 2860-2869, 2012.
[26] L. Zhao, Z. Chen, Y. Yang, L. Zou, Z. J. Wang, “ICFS clustering with multiple representatives for large data”, IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 3, pp. 728-738, 2019.
[27] V. Poor, An Introduction to Signal Detection and Estimation. Berlin, Germany: Springer-Verlag, 1994.
[28] T. Kailath, V. Poor, “Detection of stochastic processes”, IEEE Transactions on Information Theory, vol. 44, no. 6, pp. 2230-2231, 1998.
[29] A. Yeredor, “Blind channel estimation using first and second derivatives of the characteristic function”, IEEE Signal Processing Letters, vol. 9, no. 3 pp. 100-103, 2002.
[30] J.J. Clark, M.R. Palmer, P.D. Lawrence, “A transformation method for the reconstruction of functions from non-uniformly spaced samples,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 33, pp. 1151-1165, 1985.
[31] L. Heyoung, Z.Z. Bien, “A variable bandwidth filter for estimation of instantaneous frequency and reconstruction of signals with time-varying spectral content,” IEEE Transactions on Signal Processing, vol. 59, pp. 2052-2071, 2011.
[32] E. Lee, D. Messerschmitt, Digital Communication. Boston, USA: Kluwer, 1994.
[33] S. Mallat, A Wavelet Tour of Signal Processing. San Diego, USA: Aca-demic, 1998.
[34] P. Stoica, R. Moses, Introduction to Spectral Analysis. Englewood Cliffs, USA: Prentice-Hall, 2000.
[35] H. P. E. Stern, S.A. Mahmoud, Communication Systems: Analysis and Design. Upper Saddle River, USA: Prentice-Hall, 2004.
[36] M. Vetterli, J. Kovacevic, Wavelets and Subband Coding. Englewood Cliffs, USA: Prentice-Hall, 1995.
[37] E. J. Candè, M. B. Wakin, “An introduction to compressive sampling”, IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 21-30, 2008.
[38] A. Zayed, Advances in Shannon’s Sampling Theory. Boca Raton, USA: CRC Press, 1993.
[39] R. H. Walden, “Analog-to-digital converter survey and analysis,” IEEE Journal on Selected Areas in Communications, vol. 17, no. 4, pp. 539–550, 1999.
[40] P. P. Vaidyanathan, “Generalizations of the sampling theorem: seven decades after Nyquist,” IEEE Trans. Circuits Systems I: Fundamental Theory and Applications, vol. 48, no. 9, pp. 1094–1109, 2001.
[41] H. J. Landau, “Sampling, data transmission, and the Nyquist rate”, Proceedings of the IEEE, vol. 55, no. 10, pp. 1701-1706, 1967.
[42] R.G. Lyons, Understanding Digital Signal Processing. Reading, USA: Addison-Wesley, 1997.
[43] A. J. Jerri, “The Shannon sampling theorem - its various extensions and applications: a tutorial review,” Proceedings of the IEEE, vol. 65, no. 11, pp. 1565–1596, 1977.
[44] Y. C. Eldar, T. Michaeli, “Beyond bandlimited sampling,” IEEE Signal Processing Magazine, vol. 26, no. 3, pp. 48–68, 2009.
[45] A. Papoulis, “Error analysis in sampling theory,” Proceedings of the IEEE, vol. 54, no. 7, pp. 947–955, 1966.
[46] A. Papoulis, “Generalized sampling expansion,” IEEE Transactions on Circuits and Systems, vol. 24, no. 11, pp. 652–654, 1977.
[47] R. G. Vaughan, N. L. Scott, D. R. White, “The theory of bandpass sampling,” IEEE Transactions on Signal Processing, vol. 39, no. 9, pp. 1973–1984, 1991.
[48] Y. M. Lu, M. N. Do, “A theory for sampling signals from a union of subspaces,” IEEE Transactions on Signal Processing, vol. 56, no. 6, pp. 2334–2345, 2008.
[49] C. Herley, P. W. Wong, “Minimum rate sampling and reconstruction of signals with arbitrary frequency support,” IEEE Transactions on Information Theory, vol. 45, no. 5, pp. 1555–1564, 1999.
[50] L. Schwartz, Théorie des Distributions. Paris, France: Hermann, 1950-1951.
[51] A. Borys, “Spectrum aliasing does occur only in case of non-ideal signal sampling”, Intl Journal of Electronics and Telecommunications, vol. 67, no. 1, pp. 79-85, 2021.
[52] S. Boyd, L. Chua, “Fading memory and the problem of approximating nonlinear operators with Volterra series,” IEEE Transactions on Circuits and Systems, vol. 32, no. 11, pp. 1150-1161, 1985.
[53] L. V. Kantorovich, G. P. Akilov, Functional Analysis. Oxford, England: Pergamon Press, 1982.
[54] I. W. Sandberg, “Linear maps and impulse responses,” IEEE Transactions on Circuits and Systems, vol. 35, no. 2, pp. 201-206, 1988.
[55] I. W. Sandberg, “Causality and the impulse response scandal,” IEEE Transactions on Circuits and Systems–I: Fundamental Theory and Applications, vol. 50, no. 6, pp. 810-813, 2003.

[1] Feng Gao, Junyu Dong, Bo Li, Qizhi Xu, Cui Xie, “Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine,” J. Appl. Remote Sens. 10(4), 046019 (2016), https://doi.org/10.1117/1.JRS.10.046019.
[2] Turgay Celik, " Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering", IEEE geoscience and remote sensing letters, vol. 6, no. 4, October 2009.
[3] Xinzheng Zhang, Guo Liu, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou and Yongming Li, " Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection", Remote Sensing. 2020.
[4] Karpenko A.P., Seliverstov E.Yu. Review of the particle swarm optimization method (PSO) for a global optimization problem. Nauka i obrazovanie. MGTU im. N.E. Baumana [Science and Education of the Bauman MSTU], 2009, no. 3 (in Russ.). https://doi.org/10.7463/00309.0116072.
[5] Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng and Xin Jian." A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet", arXiv.org > cs > arXiv:2003.01768, 2020
[6] Feng Gao, Xiao Wang, Junyu Dong, Shengke Wang, " SAR Image Change Detection Based on Frequency Domain Analysis and Random Multi-Graphs", Journal of Applied Remote Sensing, 2017
[7] Feng Gao, Junyu Dong, Bo Li, and Qizhi Xu, " Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet", IEEE geoscience and remote sensing letters, vol. 13, no. 12,2016.
[8] Li Yufeng & He Wei, " Research on SAR image change detection algorithm based on hybrid genetic FCM and image registration", Springer Science+Business Media New York 2017.
[9] Yunhao Gao, Feng Gao, Junyu Dong, and Shengke Wang, " Change Detection from Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network", IEEE journal of selected topics in applied earth observations and remote sensing, 2019.
[10] Wenping Ma, Hui Yang, Yue Wu, Yunta Xiong, Tao Hu, Licheng Jiao and Biao Hou, " Change Detection Based on Multi-Grained Cascade Forest and Multi-Scale Fusion for SAR Images", Remote Sensing. 2019.
[11] Jun Wanga, Xuezhi Yangb, Xiangyu Yanga, Lu Jiaa, Shuai Fanga, "Unsupervised change detection between SAR images based on hypergraphs", ISPRS Journal of Photogrammetry and Remote Sensing 164 (2020) 61–72
[12] J Kennedy, R Eberhart. Particle swarm optimization. // Proceedings of IEEE International conference on Neural Networks. – 1995, pp. 1942 - 1948.
[13] Rupak Chakraborty, Rama Sushil, M. L. Garg, " An Improved PSO-Based Multilevel Image Segmentation Technique Using Minimum Cross-Entropy Thresholding", Arabian Journal for Science and Engineering, King Fahd University of Petroleum & Minerals 2018.
[14] Nameirakpam Dhanachandra, Yambem Jina Chanu, "An image segmentation approach based on fuzzy c-means and dynamic particle swarm optimization algorithm", Springer Science+Business Media, LLC, part of Springer Nature 2020.
[15] Jin Liu, Zilu Wu, Qi Li " A Novel Local Feature Extraction Algorithm Based on Gabor Wavelet Transform", ICAIP 2019: Proceedings of the 2019 3rd International Conference on Advances in Image Processing.
[16] David Bařina, “Gabor Wavelets in Image Processing”, Proceedings of conference and competitions student EEICT 2011, Czech Republic, pp. 1-5.
[17] Deepak Verma, Dr. Vijaypal Dhaka, Shubhlakshmi Agrwa, “An Improved Average Gabor Wavelet Filter Feature Extraction Technique for Facial Expression Recognition”, International Journal of Innovations in Engineering and Technology (IJIET), Vol. 2 Issue 4 August 2013, pp. 35-41.
[18] Youguo Li, Haiyan Wu, " A Clustering Method Based on K-Means Algorithm", 2012 International Conference on Solid State Devices and Materials Science
[19] Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Andrea Vega-Villalobos, Rodolfo Pazos-Rangel, Crispín Zavala-Díaz and Alicia Martínez-Rebollar, " The K-Means Algorithm Evolution", book, April 3rd 2019, https://doi.org/10.5772/intechopen.85447
[20] T. Celik, “Unsupervised change detection in satellite images using principal component analysis and k-means clustering,” IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 772–776, Oct. 2009.
[21] F. Gao, X. Wang, Y. Gao, J. Dong, and S. Wang, “Sea ice change detection in SAR images based on convolutional-wavelet neural networks” IEEE Geosci. Remote Sens. Lett., vol. 16, no. 8, pp. 1240–1244, Aug. 2019.
[22] Maoguo Gong, Meng Jia, Linzhi Su, Shuang Wang & Licheng Jiao, "Detecting changes of the Yellow River Estuary via SAR images based on a local fit-search model and kernel-induced graph cuts" Journal International Journal of Remote Sensing, 2014, Remote sensing of the China seas
[23] Stelios Krinidis ; Vassilios Chatzis, " A Robust Fuzzy Local Information C-Means Clustering Algorithm", IEEE Transactions on Image Processing , May 2010.
[24] Maoguo Gong, Linzhi Su, Meng Jia, Weisheng Chen, " Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images", IEEE Transactions on Fuzzy Systems, Feb. 2014.

[1] O. Leclerc et al., “Optical regeneration at 40 Gb/s and beyond,” J. Light. Technol., vol. 21, no. 11, pp. 2779–2790, Nov. 2003, doi: 10.1109/JLT.2003.819148.
[2] P. G. Patki et al., “Recent Progress on Optical Regeneration of Wavelength-Division-Multiplexed Data,” IEEE J. Sel. Top. Quantum Electron., vol. 27, no. 2, pp. 1–12, 2021, doi: 10.1109/JSTQE.2020.3025482.
[3] A. E. Willner, S. Khaleghi, M. R. Chitgarha, and O. F. Yilmaz, “All- Optical Signal Processing,” J. Light. Technol., vol. 32, no. 4, pp. 660– 680, 2014, doi: 10.1109/JLT.2013.2287219.
[4] D. Kulal, K. Pai, R. Padiyar, and P. D. Kakade, “Significance of 2R Continuous Mode Optical Regenerators (CMORs) in Optical Network Impaired by Optical Linear Crosstalk,” 2019, doi: 10.1109/DISCOVER47552.2019.9008100.
[5] J. P. Jue, W.-. Yang, Y.-. Kim, and Q. Zhang, “Optical packet and burst switched networks: a review,” IET Commun., vol. 3, no. 3, pp. 334–352, Mar. 2009, doi: 10.1049/iet-com:20070606.
[6] P. N. Desai, A. J. Phillips, and S. Sujecki, “Modeling of burst mode 2R optical regenerator cascades for long-haul optical networks,” J. Opt. Commun. Netw., vol. 4, no. 4, 2012, doi: 10.1364/JOCN.4.000304.
[7] P. N. Desai, A. J. Phillips, and S. Sujecki, “Performance evaluation for 2R burst mode optical regenerator cascades in presence of co-channel phase uncorrelated crosstalk,” 2012, doi: 10.1109/ICTON.2012.6254385.
[8] R. Sato, T. Ito, Y. Shibata, A. Ohki, and Y. Akatsu, “40-gb/s burst-mode optical 2R regenerator,” IEEE Photonics Technol. Lett., vol. 17, no. 10, pp. 2194–2196, Oct. 2005, doi: 10.1109/LPT.2005.856364.
[9] G. T. Kanellos et al., “All-Optical 3R Burst-Mode Reception at 40 Gb/s Using Four Integrated MZI Switches,” J. Light. Technol., vol. 25, no. 1, pp. 184–192, Jan. 2007, doi: 10.1109/JLT.2006.888169.
[10] P. Zakynthinos et al., “Cascaded Operation of a 2R Burst-Mode Regenerator for Optical Burst Switching Network Transmission,” IEEE Photonics Technol. Lett., vol. 19, no. 22, pp. 1834–1836, Nov. 2007, doi: 10.1109/LPT.2007.907580.
[11] D. Petrantonakis, P. Zakynthinos, D. Apostolopoulos, A. Poustie, G. Maxwell, and H. Avramopoulos, “All-Optical Four-Wavelength Burst Mode Regeneration Using Integrated Quad SOA-MZI Arrays,” IEEE Photonics Technol. Lett., vol. 20, no. 23, pp. 1953–1955, Dec. 2008, doi: 10.1109/LPT.2008.2005736.
[12] S.-K. Liaw and S. Chi, “Experimental investigation of a fiber Bragg grating integrated optical limiting amplifier with high dynamic range,” Opt. Eng., vol. 37, no. 7, pp. 2101–2103, 1998, doi: 10.1117/1.601800. [13] H. Wessing, B. Sorensen, B. Lavigne, E. Balmefrezol, and O. Leclerc, “Combining control electronics with SOA to equalize packet- to-packet power variations for optical 3R regeneration in optical networks at 10 Gbit/s,” in Optical Fiber Communication Conference, 2004. OFC 2004, 2004, vol. 1, p. 621. [14] M. Presi, S. Gupta, N. Calabretta, G. Contestabile, and E. Ciaramella, “DPSK Packet-Level Power Equalization by means of Nonlinear Polarization Rotation in an SOA,” in 2007 Photonics in Switching, 2007, pp. 157–158, doi: 10.1109/PS.2007.4300792. [15] S. V Pato, R. Meleiro, D. Fonseca, P. Andre, P. Monteiro, and H. Silva, “All-Optical Burst-Mode Power Equalizer Based on Cascaded SOAs for 10-Gb/s EPONs,” IEEE Photonics Technol. Lett., vol. 20, no. 24, pp. 2078–2080, 2008, doi: 10.1109/LPT.2008.2006629. [16] N. Pleros, G. T. Kanellos, C. Bintjas, A. Hatziefremidis, and H. Avramopoulos, “Optical power limiter using a saturated SOA-based interferometric switch,” IEEE Photonics Technol. Lett., vol. 16, no. 10, pp. 2350–2352, 2004, doi: 10.1109/LPT.2004.833960. [17] X. Wei, Y. Su, X. Liu, J. Leuthold, and S. Chandrasekhar, “10-Gb/s RZ-DPSK transmitter using a saturated SOA as a power booster and limiting amplifier,” IEEE Photonics Technol. Lett., vol. 16, no. 6, pp. 1582–1584, 2004, doi: 10.1109/LPT.2004.826732. [18] B. Cao and J. E. Mitchell, “Modelling optical burst equalisation in next generation access network,” in 2010 12th International Conference on Transparent Optical Networks, 2010, pp. 1–4, doi: 10.1109/ICTON.2010.5549289. [19] M. J. O’Mahony, C. Politi, D. Klonidis, R. Nejabati, and D. Simeonidou, “Future Optical Networks,” J. Light. Technol., vol. 24, no. 12, pp. 4684–4696, 2006, doi: 10.1109/JLT.2006.885765. [20] Y. Su, X. Liu, and J. Leuthold, “Wide dynamic range 10-Gb/s DPSK packet receiver using optical-limiting amplifiers,” IEEE Photonics Technol. Lett., vol. 16, no. 1, pp. 296–298, 2004, doi: 10.1109/LPT.2003.818914. [21] O. C. Graydon, M. N. Zervas, and R. I. Laming, “Erbium-doped-fiber optical limiting amplifiers,” J. Light. Technol., vol. 13, no. 5, pp. 732–739, May 1995, doi: 10.1109/50.387790. [22] C. H. Kim, C. R. Giles, and Y. C. Chung, “Two-stage optical limiting fiber amplifier using a synchronized etalon filter,” IEEE Photonics Technol. Lett., vol. 10, no. 2, pp. 285–287, 1998, doi: 10.1109/68.655386. [23] B. Charbonnier, N. E. Dahdah, and M. Joindot, “OSNR margin brought by nonlinear regenerators in optical communication links,” IEEE Photonics Technol. Lett., vol. 18, no. 3, pp. 475–477, Feb. 2006, doi: 10.1109/LPT.2005.863181. [24] S. L. Tzeng, H. C. Chang, and Y. K. Chen, “Chirped-fibre-grating-based optical limiting amplifier for simultaneous dispersion compensation and limiting amplification in 10 Gbit/s G.652 fibre link,” Electron. Lett., vol. 35, no. 8, pp. 658–660, 1999, doi: 10.1049/el:19990435. [25] Y.-K. Chen, S.-K. Liaw, W.-Y. Guo, and S. Chi, “Multiwavelength erbium-doped power limiting amplifier in all-optical self-healing ring network,” IEEE Photonics Technol. Lett., vol. 8, no. 6, pp. 842–844, 1996, doi: 10.1109/68.502113. [26] M. J. Chawki, E. Delevaque, and L. Berthou, “WDM bidirectional optical power limiting amplifier including circulators, EDFA and fiber grating reflectors,” in Proceedings of European Conference on Optical Communication, 1996, vol. 2, pp. 285–288 vol.2. [27] Y. Su, L. Wang, A. Agarwal, and P. Kumar, “All-optical limiter using gain flattened fibre parametric amplifier,” Electron. Lett., vol. 36, no. 13, pp. 1103–1105, 2000, doi: 10.1049/el:20000798. [28] M. Holtmannspoetter and B. Schmauss, “All Optical Limiter Based on Self Phase Modulation and Dispersive Chirping,” in 2007 European Conference on Lasers and Electro-Optics and the International Quantum Electronics Conference, 2007, p. 1, doi: 10.1109/CLEOE-IQEC.2007.4386110. [29] M. R. G. Leiria and A. V. T. Cartaxo, “Impact of the Signal and Nonlinearity Extinction Ratios on the Design of Nonideal 2R All-Optical Regenerators,” J. Light. Technol., vol. 26, no. 2, pp. 276–285, Jan. 2008, doi: 10.1109/JLT.2007.909856. [30] S. Primak, V. Kontorovich, and V. Lyandres, Stochastic Methods and their Applications to Communications: Stochastic Differential Equations Approach. 2005.

[1] F. Qamar, M. U. A. Siddiqui, M. Hindia, R. Hassan, and Q. N. Nguyen, "Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks," Electronics, vol. 9, no. 9, p. 1416, 2020.
[2] M. N. Hindia, F. Qamar, H. Ojukwu, K. Dimyati, A. M. Al-Samman, and I. S. Amiri, "On Platform to Enable the Cognitive Radio Over 5G Networks," Wireless Personal Communications, vol. 113, no. 2, pp. 1241-1262, 2020.
[3] S. Malathy et al., "An optimal network coding based backpressure routing approach for massive IoT network," Wireless Networks, pp. 1-18, 2020.
[4] F. Qamar, M. H. S. Siddiqui, M. N. Hindia, K. Dimyati, T. Abd Rahman, and M. S. A. Talip, "Propagation Channel Measurement at 38 GHz for 5G mm-wave communication Network," in 2018 IEEE Student Conference on Research and Development (SCOReD), 2018: IEEE, pp. 1-6.
[5] T. Abbas, F. Qamar, I. Ahmed, K. Dimyati, and M. B. Majed, "Propagation channel characterization for 28 and 73 GHz millimeter-wave 5G frequency band," in Research and Development (SCOReD), 2017 IEEE 15th Student Conference on, 2017: IEEE, pp. 297-302.
[6] F. Qamar, K. Dimyati, M. N. Hindia, K. A. Noordin, and I. S. Amiri, "A stochastically geometrical poisson point process approach for the future 5G D2D enabled cooperative cellular network," IEEE Access, vol. 7, pp. 60465-60485, 2019.
[7] F. Qamar et al., "Investigation of future 5G-IoT millimeter-wave network performance at 38 GHz for urban microcell outdoor environment," Electronics, vol. 8, no. 5, p. 495, 2019.
[8] M. N. Hindia, F. Qamar, T. A. Rahman, and I. S. Amiri, "A stochastic geometrical approach for full-duplex MIMO relaying model of high-density network," Ad Hoc Networks, vol. 74, pp. 34-46, 2018.
[9] A. Gachhadar, F. Qamar, D. S. Dong, M. B. Majed, E. Hanafi, and I. S. Amiri, "Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection," Journal of Engineering Science and Technology Review, vol. 12, no. 2, pp. 9-16, 2019.
[10] J. Zhang, X. Ge, Q. Li, M. Guizani, and Y. Zhang, "5G millimeter-wave antenna array: design and challenges," IEEE Wireless Communications, vol. 24, no. 2, pp. 106-112, 2017.
[11] F. Qamar, M. N. Hindia, K. Dimyati, K. A. Noordin, and I. S. Amiri, "Interference management issues for the future 5G network: a review," Telecommunication Systems, pp. 1-17, 2019.
[12] Mohd Zaki, I., & Rosilah, H. (2019). The Implementation of Internet of Things using Test Bed in the UKMnet Environment. Asia-Pac. J. Inf. Technol. Multimed, 8.
[13] C. Isheden, Z. Chong, E. Jorswieck, and G. Fettweis, "Framework for link-level energy efficiency optimization with informed transmitter," IEEE Transactions on Wireless Communications, vol. 11, no. 8, pp. 2946-2957, 2012.
[14] D. Willkomm, S. Machiraju, J. Bolot, and A. Wolisz, "Primary user behavior in cellular networks and implications for dynamic spectrum access," IEEE Communications Magazine, vol. 47, no. 3, 2009.
[15] M. N. Hindia, F. Qamar, M. B. Majed, T. A. Rahman, and I. S. Amiri, "Enabling remote-control for the power sub-stations over LTE-A networks," Telecommunication Systems, pp. 1-17, 2018.
[16] J. Joung, C. K. Ho, and S. Sun, "Tradeoff of spectral and energy efficiencies: Impact of power amplifier on OFDM systems," in Global Communications Conference (GLOBECOM), 2012 IEEE, 2012: IEEE, pp. 3274-3279.
[17] G. Auer et al., "D2. 3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdown," Earth, vol. 20, no. 10, 2010.
[18] L. M. Correia et al., "Challenges and enabling technologies for energy aware mobile radio networks," IEEE Communications Magazine, vol. 48, no. 11, 2010.
[19] F. Qamar, K. B. Dimyati, M. N. Hindia, K. A. B. Noordin, and A. M. Al-Samman, "A comprehensive review on coordinated multi-point operation for LTE-A," Computer Networks, vol. 123, pp. 19-37, 2017.
[20] K. A. B. Noordin, M. N. Hindia, F. Qamar, and K. Dimyati, "Power allocation scheme using PSO for amplify and forward cooperative relaying network," in Science and information conference, 2018: Springer, pp. 636-647.
[21] R. Giuliano, F. Mazzenga, and F. Vatalaro, "Smart cell sectorization for third generation CDMA systems," Wireless Communications and Mobile Computing, vol. 2, no. 3, pp. 253-267, 2002.
[22] Z. Hasan, H. Boostanimehr, and V. K. Bhargava, "Green cellular networks: A survey, some research issues and challenges," arXiv preprint arXiv:1108.5493, 2011.
[23] G. Cili, H. Yanikomeroglu, and F. R. Yu, "Cell switch off technique combined with coordinated multi-point (CoMP) transmission for energy efficiency in beyond-LTE cellular networks," in 2012 IEEE International Conference on Communications (ICC), 2012: IEEE, pp. 5931-5935.
[24] C. Liu, B. Natarajan, and H. Xia, "Small cell base station sleep strategies for energy efficiency," IEEE Transactions on Vehicular Technology, vol. 65, no. 3, pp. 1652-1661, 2015.
[25] Y. Wu, S. Fahmy, and N. B. Shroff, "Optimal sleep/wake scheduling for time-synchronized sensor networks with QoS guarantees," IEEE/ACM Transactions on Networking (TON), vol. 17, no. 5, pp. 1508-1521, 2009.
[26] C. Hartmann, Radio Resource Management in Cellular F/TDMA Smart Antenna Systems. Herbert Utz Verlag, 2017.
[27] D. González, H. Hakula, A. Rasila, and J. Hämäläinen, "Spatial mappings for planning and optimization of cellular networks," IEEE/ACM Transactions on Networking, vol. 26, no. 1, pp. 175-188, 2017.
[28] I. Amiri, D. S. Dong, Y. M. Pokhrel, A. Gachhadar, R. K. Maharjan, and F. Qamar, "Resource Tuned Optimal Random Network Coding for Single Hop Multicast future 5G Networks," International Journal of Electronics and Telecommunications, vol. 65, no. 3, pp. 463-469, 2019.
[29] A. Ebrahim and E. Alsusa, "Interference and resource management through sleep mode selection in heterogeneous networks," IEEE Transactions on Communications, vol. 65, no. 1, pp. 257-269, 2017.
[30] H. Zhang, S. Huang, C. Jiang, K. Long, V. C. Leung, and H. V. Poor, "Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations," IEEE Journal on Selected Areas in Communications, vol. 35, no. 9, pp. 1936-1947, 2017.
[31] A. H. M. Aman, E. Yadegaridehkordi, Z. S. Attarbashi, R. Hassan, and Y.-J. Park, "A Survey on Trend and Classification of Internet of Things Reviews," IEEE Access, vol. 8, pp. 111763-111782, 2020.
[32] L. Fan, R. Zhao, F.-K. Gong, N. Yang, and G. K. Karagiannidis, "Secure multiple amplify-and-forward relaying over correlated fading channels," IEEE Transactions on Communications, vol. 65, no. 7, pp. 2811-2820, 2017.
[33] M. N. Hindia, M. M. Fadoul, T. Abdul Rahman, and I. S. Amiri, "A Stochastic Geometry Approach to Full-Duplex MIMO Relay Network," Wireless Communications and Mobile Computing, vol. 2018, 2018.
[34] J.-A. Tsai, R. M. Buehrer, and B. D. Woerner, "BER performance of a uniform circular array versus a uniform linear array in a mobile radio environment," IEEE Transactions on Wireless Communications, vol. 3, no. 3, pp. 695-700, 2004.
[35] S. W. Turner and S. Uludag, "6 Toward Smart Cities," Smart Grid: Networking, Data Management, and Business Models, p. 117, 2017.
[36] A. Gachhadar, M. N. Hindia, F. Qamar, M. H. S. Siddiqui, K. A. Noordin, and I. S. Amiri, "Modified genetic algorithm based power allocation scheme for amplify-and-forward cooperative relay network," Computers & Electrical Engineering, 2018.

[1] Elizabeth M. Royer, Chai-Keong Toh. A review of current routing protocols for ad-hoc mobile wireless networks. IEEE Personal Communications, 6(2): 46-55, 1999.
[2] Jorge E. O. T., Molina J. L. B., Miguel A. S. L. Simulation and evaluation of ad hoc networks under different mobility models. Ingeniería E Investigación, 23(3): 44-50, 2003.
[3] Tianbo L., Hao C. Anonymous routing protocols for mobile ad-hoc networks. International Journal of Security and its Applications, 10(4): 229-240, 2016.
[4] Banala R., Sakthivel M. A review on delay-minimized routing protocol in mobile cognitive ad hoc networks. International Journal of Computer Sciences & Engineering, 6(7): 991-996, 2018.
[5] Prabhavat S. , Narongkhachavana W. , Thongthavorn T. , et al. Low Overhead Localized Routing in Mobile Ad Hoc Networks. Wireless Communications & Mobile Computing, 2019, 6(4): 1-15.
[6] Shanmugasundaram D. , Shanavas A. R. M. Avoidance Cosmic Dust implementing in Ad Hoc on-demand Distance Vector (CDA AODV) Routing Protocol [J]. International Journal of Computer Sciences & Engineering, 2019, 7(4): 995-1005.
[7] Kothandaraman D., Chellappan C., . Energy Efficient Node Rank-Based Routing Algorithm in Mobile Ad-Hoc Networks. International Journal of Computer Networks & Communications, 2019, 11(1):45-61.
[8] Shanmugasundaram D., Shanavas A. R. M. . Avoidance Cosmic Dust implementing in Ad Hoc on-demand Distance Vector (CDA AODV) Routing Protocol. International Journal of Computer Sciences & Engineering, 2019, 7(4):995-1005.
[9] Kim, C., Talipov, E., & Ahn, B. A reverse aodv routing protocol in ad hoc mobile networks. Lecture Notes in Computer Science, pp. 522-531. 2016.
[10] Navjot K., Ashok K., & Daviet J. (2011). Comparison and analysis of RREQ and RREP for dynamic wireless network. Indian Journal of Computer Science & Engineering, 2(3), 73-78, 2011.
[11] Kargl F., Schlott S. & Weber M. (2004). Securing ad hoc routing protocols, Proceedings. 30th Euromicro Conference, 2004., Rennes, France, pp. 514-519.
[12] Kumar S., Dhull K., Sharma D., et al. Evaluation of AODV and DYMO Routing Protocol using Generic, Micaz and Micamotes Energy Conservation Models in AWSN with Static and Mobile Scenario [J]. Scalable Computing, 2019, 20(4):653-661.
[13] Watts D.J. & Strogatz S.H. (1998), Collective dynamics of ‘small-world’ networks, Nature, 1998, 393(6684): 440–442.
[14] Qin Y , Guo D , Luo L , et al. Design and optimization of VLC based small-world data centers [J]. Frontiers of Computer Science in China, 2019, 13(5):1034-1047.
[15] Qiu T.p, Liu X., Li K., et al. Community-Aware Data Propagation with Small World Feature for Internet of Vehicles [J]. IEEE Communications Magazine, 2018, 56(1):86-91.
[16] Reka A., Hawoong J., & Albert-Laszlo B. Error and attack tolerance of complex networks. Nature. 406(6794):378-382, 2004.
[17] Guidoni, D. L. , Mini, R. A. F. , & Loureiro, A. A. F. On the design of resilient heterogeneous wireless sensor networks based on small world concepts. Computer Networks, 54(8):1266-1281, 2009.
[18] Zhang, J. & Elkashlan M., A small world network model for energy efficient wireless networks, IEEE Communication. Lett., 17(10): 1928–1931, 2013.
[19] Zarepour, M., Universal and non-universal neural dynamics on small world connectomes: A finite-size scaling analysis. Physical Review E. 100 (5): 52138, 2019.
[20] Tefan G. Small directed strongly regular graphs. Algebra Colloquium, 27(1), 11-30, 2020.
[21] Zhang L. & Tang Y. Research on the method of improving network security based on small world model. 40(13):136-139, 2005.
[22] Oscar P. Sarmiento, F. G. Guerrero, D. R.(2008) Basic security measures for IEEE 802.11 wireless networks. Ingenieria E Investigación, 28(2):89-96. 2008.
[23] Wu J. &Yang S. Logarithmic Store-Carry-Forward Routing in Mobile Ad Hoc Networks. IEEE Trans. on Parallel and Distributed Systems, 18(6): 735-748, 2007.
[24] Anhong Zhong. Research on Mobile Ad Hoc Network Routing Protocol Based on Small World Theory [D]. Xidian University, 2011.
[25] Li Yong, Li Wei, Zhao Weiquan, Optimization for Dynamic Source Routing Based on the Small-world Theory [J], Computer Engineering, 2005 (9):102-104.

[1] N. Joshi and P. K. Sharma, “Performance of wireless optical communication in S-distributed turbulence,” IEEE Photonic Technology Letters, vol. 28, no. 2, pp. 151-154, Oct. 2016. DOI: 10.1109/LPT.2015.2487605
[2] J. Anshul, and M. R. Bhatnagar, “Free-space optical communication: a diversity-multiplexing trade-off perspective,” IEEE Transactions on Information Theory, vol. 65, no. 2, pp. 1113-1125, 2019. DOI: 10.1109/TIT.2018.2856116.
[3] P. Kaur, V. K. Jain, and S. Kar, “Performance analysis of free space optical links using multi-input multi-output and aperture averaging in presence of turbulence and various weather conditions,” Communications Iet, vol. 9, no. 8, pp. 1104-1109, May. 2015. DOI: 10.1049/iet-com.2014.0926
[4] Y. Zhang, H. Yu, J. Zhang, and Y. Zhu, “Space codes for MIMO optical wireless communications: Error performance criterion and code construction,” IEEE Transcation on Wireless Communication, vol. 16, no. 5, pp. 3072-3085, 2017. DOI: 10.1109/TWC.2017.2675398
[5] D. A. Luong, T. C. Thang, and A. T. Pham, “Average capacity of MIMO/FSO systems with equal gain combining over log-normal channels,” International Conference on Ubiquitous & Future Networks. IEEE, pp. 306-309, Jul. 2013. DOI: 10.1109/ICUFN.2013.6614831
[6] H. S. Khallaf, and H. M. H. Shalaby, “Closed form expressions for SER and capacity of shot noise limited MIMO-FSO system adopting MPPM over gamma-gamma atmospheric turbulence channels,” IEEE Photonics Conference, CA, USA, Oct. 2014, pp. 619-620. DOI: 10.1109/IPCon.2014.6995292
[7] L. Han and Y. You, “Performance of multiple input multiple output free space optical communication under atmospheric turbulence and atmospheric attenuation,” Chinese Journal of Lasers, vol. 43, no. 7, pp. 0706004, July 2016. DOI: 10.3788/CJL201643.0706004
[8] I. A. Alimi, A. M. Abdalla, J. Rodriguez, P. P. Monteiro, and A. L. Teixeira, “Spatial interpolated lookup tables (LUTs) models for ergodic capacity of MIMO FSO systems,” IEEE Photonics Technology Letters, vol. 29, no. 7, pp. 583-586, Apr. 2017. DOI: 10.1109/LPT.2017.2669337
[9] G. Yang, M. A. Khalighi, Z. Gassemlooy, and S. Bourennane, “Performance analysis of space-diversity free-space optical systems over the correlated Gamma-Gamma fading channel using Padé approximation method,” IET Communications, vol. 8, no. 13, pp. 2246- 2255, Sept. 2014. DOI: 10.1049/iet-com.2013.0962
[10] H. S. Khallaf, J. M. Garrido-Balsells, H. M. H. Shalaby, and Seiichi Sampei, “SER analysis of MPPM-Coded MIMO-FSO system over uncorrelated and correlated Gamma-Gamma atmospheric turbulence channels,” Optics Communications, vol. 356, pp. 530-535, Aug. 2015. DOI: 10.1016/j.optcom.2015.08.060 [11] M. Petkovic, J. Anastasov, G.T. Djordjevic, and P. Ivanis, “Impact of correlation on outage performance of FSO system with switch-and-stay diversity receiver,” 2015 IEEE International Conference on Communications (ICC), London, 2015, pp. 2756–2761, DOI: 10.1109/ICC.2015.7248743. [12] T. Ozbilgin, and M. Koca, “Inter-aperture correlation in MIMO free space optical systems,” Optics Communications, vol. 353, pp. 139–146, May. 2015. DOI: 10.1016/j.optcom.2015.05.025. [13] A. Garacia-Zambrana, B. Castillo-Vazquez, and C. Castillo-Vazquez, “Asymptotic error-rate analysis of FSO links using transmit laser selection over gamma-gamma atmospheric turbulence channels with pointing errors,” Optics Express, vol. 20, no. 3, pp. 2096-2109, Jan. 2012. DOI: 10.1364/OE.20.002096 [14] M. R. Bhatnagar, and Z. Ghssemlooy, “Performance analysis of Gamma–Gamma fading FSO MIMO links with pointing errors,” Journal of Lightwave Technology, vol. 34, no. 9, pp. 2158-2169, May 2016. DOI: 10.1109/JLT.2016.2526053 [15] I. E. Lee, Z. Ghassemlooy, W. P. Ng, M. A. Khalighi, and S. K. Liaw, “Effects of aperture averaging and beam width on a partially coherent Gaussian beam over free-space optical links with turbulence and pointing errors,” Applied Optics, vol. 55, no. 1, pp. 1-9, Feb. 2016. DOI: 10.1364/AO.55.000001 [16] H. Zhang, H. Li, D. Xiao, and S. Ning, “Performance analysis of spatial-diversity reception over combined effects of atmospheric turbulence,” Chinese Journal of Lasers, vol. 43, no. 4, pp. 0405002, Apr. 2016. DOI: 10.3788/CJL201643.0405002 [17] C. Martin and B. Ottersten, “Asymptotic eigenvalue distributions and capacity for MIMO channels under correlated fading,” IEEE Transcations on Wireless Communications, vol. 3, no. 4, pp. 1350-1359, Aug. 2004. DOI: 10.1109/TWC.2004.830856 [18] H. Moradi, M. Falahpour, H.Refai, and P. Lopresti, “BER analysis of optical wireless signals through lognormal fading channels with perfect CSI,” IEEE 17th International Conference on Telecommunications (ICT ‘10), Doha, pp. 493-497, 2010. DOI: 10.1109/ICTEL.2010.5478870 [19] S. L. Loyka, “Channel capacity of MIMO architecture using the exponential correlation matrix,” IEEE Communications Letters, vol. 5, no. 9, pp. 369-371, Oct. 2001. DOI: 10.1109/4234.951380

[1] K. Sohraby, D. Minoli, T. Znati, “Wireless sensor networks: technology, protocols, and applications,” John Wiley & Sons, 2007.
[2] K. Pavai, A. Sivagami and D. Sridharan, "Study of Routing Protocols in Wireless Sensor Networks,” 2009 International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala, 2009, pp. 522-525.
[3] D. Goyal and M. R. Tripathy, "Routing Protocols in Wireless Sensor Networks: A Survey,"2012 Second International Conference on Advanced Computing & Communication Technologies, Rohtak, Haryana, 2012, pp. 474-480.
[4] NasirSaeed, Ahmed Bader, T.Y. Al-Naffouri, Mohamed-slim Alouini, “When Wireless Communication Faces COVID-19: Combating the Pandemic and Saving the Economy,” Research Gate Journal, May 2020.
[5] Jitendra Singh, Rakesh Kumar, “Clustering algorithms for wireless sensor networks: A review,” 2nd International Conference on Computing for Sustainable Global Development, May 2015.
[6] S. Misra and R. Kumar, "A literature survey on various clustering approaches in wireless sensor network," IEEE 2nd International Conference on Communication Control and Intelligent Systems (CCIS), Mathura, 2016, pp. 18-22.
[7] S. Mishra, R. Bano, S. Kumar and V. Dixit, "A literature survey on routing protocol in wireless sensor network," IEEE International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, 2017, pp. 1-4.
[8] Kalyani Wankhede, Sumedha Sirsikar, “Review of Clustering Algorithms in Wireless Sensor Networks,” International Journal of Advance Foundation and Research in Computer (IJAFRC), Volume 1, Issue 11, November 2014, pp.126-133.
[9] Sangho Yi, Junyoung Heo, Yookun Cho and Jiman Hong b, “PEACH: Power-efficient and adaptive clustering hierarch protocol for wireless sensor networks,” Computer Communications, ELSEVIER, 23 June 2007, pp. 2842–2852.
[10] K. T. Kim and H. Y. Youn, “Energy-Driven Adaptive Clustering Hierarchy (EDACH) for Wireless Sensor Networks,” International Federation of Info. Processing, vol. 3823, Dec. 2005, pp. 1098–1107.
[11] V. Loscri, G. Morabito and S. Marano, “A Two-Level Hierarchy for Low-Energy Adaptive Clustering Hierarchy(TL-LEACH),” IEEE Proceedings of Vehicular Technology Conference, vol. 3, 2005, pp. 1809-1813.
[12] S. Nasr, M. Quwaider, “LEACH Protocol Enhancement for Increasing WSN Lifetime,” 2020 11th International Conference on Information and Communication Systems (ICICS), April 2020, pp. 102-107.
[13] M. Kaddi, Z. Khalili, M. Bruchra, “A Differential Evolution Based Clustering and Routing Protocol for WSN,” 2020 International Conference on Mathematics and Information Technology, March 2020, pp. 190-195.
[14] G. Malshetty, B. Mathapati, “Efficient Clustering in WSN-Cloud using LBSO (Load Based Self Organised) technique,” Third International Conference on Trends in Electronics and Informatics(ICOEI), October 2019, pp. 1243-1247.
[15] K. Dubey, A. Yadav, P. Kumar, P. Shekar, P. Rajput, S. Kumar, “Power Optimization Algorithm for Heterogeneous WSN using Multiple Attributes,” Proceedings of Third International Conference on Computing Methodologies and Communication (ICCMC), August 2019, pp. 294-299.
[16] O. Younis, S. Fahmy, “HEED: A Hybrid Energy-Efficient Distributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transactions on mobile computing, vol. 3(4) , 2004, pp. 1-36
[17] A. Manjeshwar, D. P. Agrawal, “TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks,” 15th International Workshop on Parallel and Distributed Processing Symposium (IPDPS), 23–27 April 2001, pp. 2009–2015.
[18] A. Manjeshwar, D. P. Agrawal, “APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks,” 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing,” April 2002, pp. 195–202.
[19] Chirihane Gherbi, Zibouda Aliouat, Mohamed Benmohammed, “A Novel Load Balancing Scheduling Algorithm For Wireless Sensor Networks,” Journal of Network And Systems Management (2019) 27, pp. 430–462.
[20] Heinzelman W,Chandrakasan A and Balakrishnan H, "Energy-Efficient Communication Protocols for Wireless Microsensor Networks," Proceedings of the 33rd Hawaaian International Conference on Systems Science (HICSS), January 2000.
[21] JiuqiangXu, Wei Liu, Fenggao Lang, Yuanyuan Zhang, Chenglong Wang, “Distance Measurement Model Based on RSSI in WSN,” Scientific Research Journal on Wireless Sensor Network, August 2010, pp. 606-611
[22] Nazir Babar, Hasbullah Halabi & Madani Sajjad, “Sleep/wake scheduling scheme for minimizing end-to-end delay in multi-hop wireless sensor networks,” EURASIP Journal on Wireless Communications and Networking, 2011, art. no 92. doi: 10.1186/1687-1499-2011-92.

[1] W. C. Jakes, Ed., Microwave Mobile Communications, IEEE Press, 1993, ISBN 0-7803-1069-1
[2] K. Daikoku and K. Suwa, “RZ SSB transceiver with equal-gain combiner for speech and data transmission,” Proc. IEEE GLOBECOM’88, Hollywood, FL, USA, pp.26.4.1-26.4.5, 1988, DOI: 10.1109/GLOCOM.1988.25953
[3] K. Daikoku, “Field test results on JPEG/text file transmission employing RZ SSB transceivers through HF radio channels,” IEE Proc. Communi., vol. 151, no. 1, pp.50-58, 2004, DOI: 10.1049/ip-com:20040347
[4] K. Daikoku, “Hilbert transform applications in asynchronous demodulation for real zero single sideband signals in mobile radio path,” J. Signal Process., vol. 25, no. 1, pp. 11–24, Jan. 2021. DOI: 10.2299/jsp.25.11.
[5] S. L. Hahn, Hilbert Transforms in Signal Processing, Artech House, 1996, ISBN 0-9006-886-0
[6] W. T. Webb and L. Hanzo, Modern Quadrature Amplitude Modulation, Pentech Press, 1994, ISBN 0-7273-1701-6
[7] N. C. Davies, “Digital radio and its application in HF (2-30 MHz) band,” Doctor Thesis to the University of Leeds, May 2004.
[8] R. C. Daniels and S. W. Peters, “A new MIMO HF data link: Designing for high data rates and backwards compatibility,” 2013 IEEE MILCOM, San Diego, CA, USA, pp.1-6, 2013, DOI: 1 10.1109/MILCOM.2013.214
[9] M. Kuzlu, H. Dinçer and S. Öztürk, “DSP implementation of underwater communication using SSB modulation with random carrier frequencies,” Sci. Res. Essays, vol. 5, no. 10, pp.1084-1099, 2010, ISSN 1992-2248
[10] T. S. Rappaport, Wireless Communications, Prentice Hall, 1996, ISBN 0-13-461088
[11] S. Sampei, S. Komaki and N. Morinaga, “Adaptive modulation/TDMA scheme for large capacity personal multi-media communication systems,” IEICE Trans. Communi., vol. E77-B, no. 9 pp.1096-1103, 1994.
[12] G. Ohta, M. Nanri, M. Uesugi, T. Sato, H. Tominaga, “A study of new modulation method consisted of orthogonal four SSB elements having a common carrier frequency,” The 11th International Symposium on Wireless Personal Multimedia Communications (WPMC 2008), Lapland, Finland, 8–11 Sep. 2008.
[13] M. Nanri, “Transmitter and SSB signal generation method,” US Patent Application Publication, Pub. No.: US 2010/0246710 A1, Pub. Date: Sep. 30, 2010.
[14] A. M. Mustafa, Q. N. Nguyen, T. Sato and G. Ohta, “Four single-sideband M-QAM modulation using soft input soft output equalizer over OFDM,” 2018 28th International Telecommunication Networks and Applications Conference (ITNAC), Sydney, NSW, Australia, 21-23 Nov. 2018, DOI: 10.1109/ATNAC.2018.8615451
[15] M. M. Alhasani, Q. N. Nguyen, G. Ohta, and T. Sato, “A novel four singlesideband M-QAM modulation scheme using a shadow equalizer for MIMO system toward 5G communications,” Sensors, 2019, 9, 1944; DOI: 10.3390/s19081944
[16] B. Pitakdumrongkija, H. Suzuki, S. Suyama and K. Fukawa, "Single sideband QPSK with turbo equalization for mobile communications," 2005 IEEE 61st VTC’05, Stockholm, Sweden, pp. 538-542, 30 May-1 June 2005, DOI: 10.1109/VETECS.2005.1543349

[1] V. Vahidi and E. Saberinia, “OFDM high speed train communication systems in 5G cellular networks,” in 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2018, pp. 1–6.
[2] Y. Fu, C. Wang, A. Ghazal, e. M. Aggoune, and M. M. Alwakeel, “Performance investigation of spatial modulation systems under nonstationary wideband high-speed train channel models,” IEEE Transactions on Wireless Communications, vol. 15, no. 9, pp. 6163–6174, 2016.
[3] V. Vahidi and E. Saberinia, “Channel estimation for wideband doubly selective UAS channels.” Miami, FL, USA: IEEE, 2017, pp. 1175– 1180.
[4] V. Vahidi, A. P. Yazdanpanah, E. Saberinia, and E. E. Regentova, “Channel estimation, equalisation, and evaluation for high-mobility airborne hyperspectral data transmission,” IET Communications, vol. 10, pp. 2656–2662, 2016.
[5] A. Sanz-G´omara, J. A. Mar´ın-Garc´ıa, and J. I. Alonso, “Performance evaluation of MIMO architectures with moving relays in high-speed railways,” in 2018 48th European Microwave Conference (EuMC), 2018, pp. 716–719.
[6] M. N., R. M.I., K. S., and P. R., OFDM: Principles and Challenges. In: Tarokh V. (eds) New Directions in Wireless Communications Research. Springer, Boston, MA, 2009.
[7] J. Rodriguez-Pineiro, P. Suarez-Casal, M. Lerch, S. Caban, J. A. Garcia- Naya, L. Castedo, and M. Rupp, “LTE downlink performance in high speed trains.” Glasgow: IEEE, 2015, pp. 1–5.
[8] Zhichao Sheng, Yong Fang, and Chen Wang, “A BEM method of channel estimation for OFDM systems in high-speed train environment,” in 2013 International Workshop on High Mobility Wireless Communications (HMWC), 2013, pp. 6–9.
[9] B. Gong, L. Gui, Q. Qin, and X. Ren, “Compressive sensing-based detector design for SM-OFDM massive MIMO high speed train systems,” IEEE Transactions on Broadcasting, vol. 63, no. 4, pp. 714–726, 2017.
[10] Z. Sheng, H. D. Tuan, and Y. Fang, “Power allocation for OFDM system in a high-speed train environment,” in 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015, pp. 650–655.
[11] X. Ren, M. Tao, and W. Chen, “Compressed channel estimation with position-based ICI elimination for high-mobility SIMO-OFDM systems,” IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6204–6216, 2016.
[12] Y. Xin, Z. Liang, Y. Bai, C. Zhai, and W. Li, “Capacity enhancement using cooperative distributed antenna system in downlink high-speed train environments,” in 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019, pp. 1–5.
[13] I. Zakia, “Capacity of HAP-MIMO channels for high-speed train communications,” in 2017 3rd International Conference on Wireless and Telematics (ICWT), 2017, pp. 26–30.
[14] N. Lin, X. Huang, and X. Ma, “Analysis of the uplink capacity in the high-speed train wireless communication with full-duplex mobile relay,” in 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016, pp. 1–5.
[15] M. K. Bhatt, B. S. Sedani, K. R. Parmar, and M. P. Shah, “Ergodic UL/DL capacity analysis of co-located and distributed antenna configuration for high speed train with massive MIMO system,” in 2017 International Conference on Inventive Computing and Informatics (ICICI), 2017, pp. 458–461.
[16] T. Zhou, C. Tao, L. Liu, J. Qiu, and R. Sun, “High-speed railway channel measurements and characterizations: a review,” Journal of Modern Transportation, vol. 20, no. 4, pp. 199–205, 2012. [Online]. Available: https://doi.org/10.1007/BF03325799
[17] F. Kaltenberger, A. Byiringiro, G. Arvanitakis, R. Ghaddab, D. Nussbaum, R. Knopp, M. Bernineau, Y. Cocheril, H. Philippe, and E. Simon, “Broadband wireless channel measurements for high speed trains,” in 2015 IEEE International Conference on Communications (ICC), 2015, pp. 2620–2625.
[18] Y. Bi, J. Zhang, Q. Zhu, W. Zhang, L. Tian, and P. Zhang, “A novel non-stationary high-speed train (HST) channel modeling and simulation method,” IEEE Transactions on Vehicular Technology, vol. 68, no. 1, pp. 82–92, 2019.
[19] A. Ghazal, C. Wang, H. Haas, M. Beach, X. Lu, D. Yuan, and X. Ge, “A non-stationary MIMO channel model for high-speed train communication systems,” in 2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012, pp. 1–5.
[20] A. Ghazal, C. Wang, B. Ai, D. Yuan, and H. Haas, “A nonstationary wideband MIMO channel model for high-mobility intelligent transportation systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 2, pp. 885–897, 2015.
[21] L. Liu, C. Tao, J. Qiu, H. Chen, L. Yu, W. Dong, and Y. Yuan, “Position-based modeling for wireless channel on high-speed railway under a viaduct at 2.35 GHz,” IEEE Journal on Selected Areas in Communications, vol. 30, no. 4, pp. 834–845, 2012.
[22] Y. M. Aval, S. K. Wilson, and M. Stojanovic, “On the achievable rate of a class of acoustic channels and practical power allocation strategies for OFDM systems,” IEEE Journal of Oceanic Engineering, vol. 40, no. 4, pp. 785–795, 2015.
[23] “Guidelines for evaluation of radio interface technologies for ITU,” Geneva, Switzerland, Tech. Rep. Tech. Rep. ITU-R M.2135-1, 2009.

[1] T. Ohshima, S. Onoda, N. Iwamoto, T. Makino, M. Arai, and Y. Tanak, “Radiation Response of Silicon Carbide Diodes and Transistors,” in Physics and Technology of Silicon Carbide Devices, 2012. DOI: 10.5772/51371.
[2] Y. Zhang, T. Guo, X. Tang, J. Yang, Y. He, and Y. Zhang, “Thermal stability study of n-type and p-type ohmic contacts simultaneously formed on 4H-SiC,” J. Alloys Compd., vol. 731, pp. 1267–1274, 2018. DOI: 10.1016/j.jallcom.2017.10.086.
[3] Y. Huang, J. Buettner, B. Lechner, and G. Wachutka, “The impact of non-ideal ohmic contacts on the performance of high-voltage SIC MPS diodes,” Mater. Sci. Forum, vol. 963 MSF, pp. 553–557, 2019. DOI: 10.4028/www.scientific.net/MSF.963.553.
[4] F. Roccaforte et al., “Ti/Al-based contacts to p-type SiC and GaN for power device applications,” Phys. Status Solidi Appl. Mater. Sci., vol. 214, no. 4, 2017. DOI: 10.1002/pssa.201600357.
[5] M. Rambach, A. J. Bauer, and H. Ryssel, “Electrical and topographical characterization of aluminum implanted layers in 4H silicon carbide,” Phys. Status Solidi Basic Res., vol. 245, no. 7, pp. 1315–1326, 2008. DOI: 10.1002/pssb.200743510.
[6] F. Roccaforte, F. Giannazzo, and V. Raineri, “Nanoscale transport properties at silicon carbide interfaces,” J. Phys. D. Appl. Phys., vol. 43, no. 22, 2010. DOI: 10.1088/0022-3727/43/22/223001.
[7] T. Abi-Tannous et al., “A Study on the Temperature of Ohmic Contact to p-Type SiC Based on Ti3SiC2 Phase,” IEEE Trans. Electron Devices, vol. 63, no. 6, pp. 2462–2468, 2016. DOI: 10.1109/TED.2016.2556725.
[8] D. K. Schroder, Semiconductor Material and Device Characterization, 3rd ed. New Jersey: John Wiley & Sons, Inc., Hoboken, 2006.
[9] K. Buchholt et al., “Ohmic contact properties of magnetron sputtered Ti3SiC2 on n- and p-type 4H-silicon carbide,” Appl. Phys. Lett., vol. 98, no. 4, pp. 2–5, 2011. DOI: 10.1063/1.3549198.
[10] T. Abi-Tannous et al., “Thermally stable ohmic contact to p-type 4H-SiC based on Ti3SiC2 phase,” Mater. Sci. Forum, vol. 858, pp. 553–556, 2016. DOI: 10.4028/www.scientific.net/MSF.858.553.
[11] F. Roccaforte et al., “Metal/semiconductor contacts to silicon carbide: Physics and technology,” Mater. Sci. Forum, vol. 924 MSF, pp. 339–344, 2018. DOI: 10.4028/www.scientific.net/MSF.924.339.
[12] G. S. Marlow and M. B. Das, “The effects of contact size and non-zero metal resistance on the determination of specific contact resistance,” Solid State Electron., vol. 25, no. 2, pp. 91–94, 1982. DOI: 10.1016/0038-1101(82)90036-3.
[13] G. K. Reeves, “Specific contact resistance using a circular transmission line model,” Solid State Electron., vol. 23, no. 5, pp. 487–490, 1980. DOI: 10.1016/0038-1101(80)90086-6.
[14] Z. Wang, W. Liu, and C. Wang, “Recent Progress in Ohmic Contacts to Silicon Carbide for High-Temperature Applications,” J. Electron. Mater., vol. 45, no. 1, pp. 267–284, 2016. DOI: 10.1007/s11664-015-4107-8.
[15] M. Vivona, G. Greco, C. Bongiorno, R. Lo Nigro, S. Scalese, and F. Roccaforte, “Electrical and structural properties of surfaces and interfaces in Ti/Al/Ni Ohmic contacts to p-type implanted 4H-SiC,” Appl. Surf. Sci., vol. 420, pp. 331–335, 2017. DOI: 10.1016/j.apsusc.2017.05.065.
[16] S. Rao, G. Pangallo, and F. G. Della Corte, “Highly Linear Temperature Sensor Based on 4H-Silicon Carbide p-i-n Diodes,” IEEE Electron Device Lett., vol. 36, no. 11, pp. 1205–1208, 2015. DOI: 10.1109/LED.2015.2481721.
[17] L. Lanni, B. G. Malm, M. Ostling, and C. M. Zetterling, “500°C bipolar integrated OR/NOR Gate in 4H-SiC,” IEEE Electron Device Lett., vol. 34, no. 9, pp. 1091–1093, 2013. DOI: 10.1109/LED.2013.2272649.
[18] W. Sung and B. J. Baliga, “Monolithically Integrated 4H-SiC MOSFET and JBS Diode (JBSFET) Using a Single Ohmic/Schottky Process Scheme,” IEEE Electron Device Lett., vol. 37, no. 12, pp. 1605–1608, 2016. DOI: 10.1109/LED.2016.2618720.
[19] C. Han et al., “An Improved ICP Etching for Mesa-Terminated 4H-SiC p-i-n Diodes,” IEEE Trans. Electron Devices, vol. 62, no. 4, pp. 1223–1229, 2015. DOI: 10.1109/TED.2015.2403615.

[1] S. Barczentewicz, A Bień, K. Duda , „The use of PMU data for detecting and monitoring selected electromagnetic disturbances”, International Journal od Electronics and Telecommunication. 2020, https://doi.org/10.24425/ijet.2020.134040
[2] IEEE Standard for Synchrophasor Measurements for Power Systems—Amendment 1: Modification of Selected Performance Requirements, IEEE Standard C37.118.1a, Apr. 2014.
[3] International Standard Synchrophasor for power systems – Measurements, IEC/IEEE 60255-118-1, Edition 1.0, Dec. 2018.
[4] G. A. Dileep, “Survey on smart grid technologies and applications”, Renewable Energy, vol. 146, pp. 2589-2625, 2020, https://doi.org/10.1016/j.renene.2019.08.092
[5] S. Barczentewicz, T. Lerch, A. Bień, K. Duda, “Laboratory Evaluation of a Phasor-Based Islanding Detection Method”. Energies. 2021; 14(7):1953. https://doi.org/10.3390/en14071953
[6] IEEE 15471-2020 „Standard Conformance Test Procedures for Equipment Interconnecting Distributed Energy Resources with Electric Power Systems and Associated Interfaces”
[7] S. Raza, H. Arof, H. Mokhlis, H. Mohamad, H. Azil Illias, “Passive islanding detection technique for synchronous generators based on performance ranking of different passive parameters”. IET Gener. Transm. Distrib. 2017, 11, 4175–4183, https://doi.org/10.1049/iet-gtd.2016.0806
[8] Z. Lin, T. Xia, Y. Ye, Y. Zhang, L. Chen, Y. Liu, K. Tomsovic, T. Bilke, F. Wen, “Application of wide area measurement systems to islanding detection of bulk power systems.” IEEE Trans. Power Syst. 2013, 28, 2006–2015, https://doi.org/10.1109/TPWRS.2013.2250531
[9] S.I. Jang, K.H. Kim, “An islanding detection method for distributed generations using voltage unbalance and total harminic distrotion of current.” IEEE Trans. Power Deliv. 2004, 19, 745–752, https://doi.org/10.1109/TPWRD.2003.822964
[10] R. Teodorescu, M. Liserre, P. Rodriguez, “Grid Converters for Photovoltaic and Wind Power System” John Wiley & Sons, Ltd: Chichester, West Sussex, UK; 2011; pp. 93–96
[11] S. Murugesan, M. Venkatakirthiga, “Active Unintentional Islanding Detection Method for Multiple PMSG based DGs.” IEEE Trans. Ind. Appl. 2020, 56, 4700–4708, https://doi.org/10.1109/TIA.2020.3001504
[12] S. Murugesan, V. Murali, “Hybrid Analyzing Technique Based Active Islanding Detection for Multiple DGs.” IEEE Trans. Ind. Inform. 2019, 15, 1311–1320, https://doi.org/10.1109/TII.2018.2846025
[13] D. Sivadas, K. Vasudevan, “An Active Islanding Detection Strategy with Zero Non detection Zone for Operation in Single and Multiple Inverter Mode Using GPS Synchronized Pattern.” IEEE Trans. Ind. Electron. 2020, 67, 5554–5564, https://doi.org/10.1109/TIE.2019.2931231
[14] M. Ropp, E. Aaker, K. Haigh, J. Sabbah, “Using power line carrier communication to prevent islanding”. IEEE Photovolt. Spec. Conf. 2002, 1675–1678, https://doi.org/10.1109/PVSC.2000.916224
[15] X. Wilson, Z. Guibin, L. Chun, W. Wencong, W. Guangzhu, K. A Jacek, “Power line signaling based technique for anti-islanding protection of distributed generators-Part I: Sheme and analysis.”, IEEE Trans. Power Deliv. 2007, 22, 1758–1766, https://doi.org/10.1109/TPWRD.2007.899618
[16] Z. Ye, R. Walling, L. Garces, R. Zhou, L. Li, T. Wang, “Study and Development of Anti-Islanding Control. for Grid-Connected Inverters”; Nat. Renew. Energy Lab.: Golden, CO, USA, May 2004, NREL/ SR-560-36243.
[17] S. Katyara, A. Hashmani, B.S. Chowdhary, H.B. Musavi, A. Aleem, F.A. Chachar, M.A. Shah, “Wireless Networks for Voltage Stability Analysis and Anti-islanding Protection of Smart Grid System.” Wirel. Pers. Commun. 2020, 1–18, https://doi.org/10.1007/s11277-020-07432-w
[18] K. Duda, T.P. Zieliński, S. Barczentewicz, “Perfectly Flat-Top and Equiripple Flat-Top Cosine Windows”, IEEE Trans. Instrum. Meas. 2016, 65, 1558–1567, https://doi.org/10.1109/TIM.2016.2534398
[19] K. Duda, T.P. Zieliński, “FIR Filters Compliant with the IEEE Standard for M Class PMU”. Metrol. Meas. Syst. 2016, 23, 623–636, https://doi.org/10.1515/mms-2016-0055

[1] A. Saudabayev, H.A. Varol, “Sensors for robotic hands: A survey of state of the art”. IEEE Access. 2015;3: 1765-82.
[2] J. Kofman, X. Wu, T.J. Luu, S. Verma,. “Teleoperation of a robot manipulator using a vision-based human-robot interface”, IEEE Transactions on Industrial Electronics. 2005 Oct;52(5): 1206-19.
[3] N.S. Chu, C.L. Tai, “Real-time painting with an expressive virtual Chinese brush”, IEEE Computer Graphics and Applications. 2004 Sep;24(5): 76-85.
[4] D. Kruse, J.T. Wen, R.J. Radke, “A sensor-based dual-arm tele-robotic system”, IEEE Transactions on Automation Science and Engineering. 2015 Jan;12(1): 4-18.
[5] H. Jiang, B.S. Duerstock, J.P. Wachs. “A machine vision-based gestural interface for people with upper extremity physical impairments”, IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2013 Aug 8;44(5): 630-41
[6] .A.S. Elons, M. Ahmed, H. Shedid, M.F. Tolba, “Arabic sign language recognition using leap motion sensor”, In 2014 9th International Conference on Computer Engineering & Systems (ICCES) 2014 Dec 22 (pp. 368-373). IEEE.
[7] S. Hirche, M. Buss, “Human-oriented control for haptic teleoperation”, Proceedings of the IEEE. 2012 Mar;100(3): 623-47.
[8] K.M. Vamsikrishna, D.P. Dogra, M.S. Desarka, “Computer-vision-assisted palm rehabilitation with supervised learning”, IEEE Transactions on Biomedical Engineering. 2016 May;63(5): 991-1001.
[9] G. Ponraj, H. Ren, “Sensor Fusion of Leap Motion Controller and Flex Sensors Using Kalman Filter for Human Finger Tracking”, IEEE Sensors Journal. 2018 Mar 1;18(5): 2042-9.
[10] K. Aditya, P. Chacko, D. Kumari, S. Bilgaiyan, “Recent Trends in HCI: A survey on Data Glove, LEAP Motion and Microsoft Kinect”, In 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA) 2018 Jul 6 (pp. 1-5). IEEE.
[11] S. Mitra, T. Acharya, “Gesture recognition: A survey”. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 2007 May;37(3): 311-24.
[12] S. Waldherr, R. Romero, S.A. Thrun, A gesture based interface for h”uman-robot interaction. Autonomous Robots”, 2000 Sep 1;9(2): 151-73.
[13] G. Marin, F. Dominio, P. Zanuttigh. Hand gesture recognition with leap motion and kinect devices. In2014 IEEE International Conference on Image Processing (ICIP) 2014 Oct 27 (pp. 1565-1569). IEEE.
[14] A. Sarkar, K.A. Patel, R.G. Ram, G.K. Capoor, “ Gesture control of drone using a motion controller”. In2016 International Conference on Industrial Informatics and Computer Systems (CIICS) 2016 Mar 13 (pp. 1-5). IEEE.
[15] R .Satheeshkumar and R. Arivoli , ” Real Time Virtual Human Hand For Robotics.” Journal of Computational Information Systems 15.1 (2019): 82-89.
[16] R. Satheeshkumar and R. Arivoli , "Real Time Virtual Human Hand for Diagnostic Robot (DiagBot) Arm Using IOT“ Journal of Advanced Research in Dynamical and Control System, Vol. 12, 01-Special Issue, 2020.
[17] R. Satheeshkumar and R. Arivoli , "Real Time Robotic Arm Control Using Human Hand Gesture Measurement “ Journal of Advanced Research in Dynamical and Control System, Vol. 12, 04-Special Issue, 2020.
[18] R. Satheeshkumar and R. Arivoli, "IOT Integrated Virtual Hand for Robotic Arm Using Leap Motion Controller" The Journal of Research on the Lepidoptera, Vol. 12, 04-Special Issue, 2020.

[1] C. Berrou, A. Glavieux, and P. Thitimajshima, “Near Shannon limit error-correcting coding and decoding: Turbo codes, ” in Proc. IEEE Int. Conf. Commun., pp. 1064–1070, May 1993.
[2] J. Hagenauer, E. Offer and L. Papke, “Iterative decoding of binary block and convolutional codes”, IEEE Transactions on Information Theory, vol. 42, no. 2, pp. 429–445, Mar. 1996.
[3] M. Y. M. Nasir, R. Mohamad, M. Kassim, N. M. Tahir and E. Abdullah, “Performance Analysis of Cross-Entropy Stopping Criterion for Quadrature Amplitude Modulation, ” 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET), Shah Alam, Malaysia, pp. 273-276, 2019.
[4] R. Y. Shao, S. Lin and M. P. C. Fossorier, “Two simple stopping criteria for turbo decoding, ” IEEE Transactions on Communications, vol. 47, no. 8, pp. 1117–1120, Aug. 1999.
[5] Y. Wu, B. D. Woerner and W. J. Ebel, “A simple stopping criterion for turbo decoding", IEEE Communications Letters, vol. 4, no. 8, pp. 258– 260, Aug. 2000.
[6] T. M. N. Ngatched and F. Takawira, “Simple stopping criterion for turbo decoding”, IEE Electronics Letters, vol. 37, no. 22, pp. 1350- 1351, Oct. 2001.
[7] A. Shibutani, H. Suda and F. Adachi, “Reducing average number of turbo decoding iterations”, IEE Electronics Letters, vol. 35, no. 9, pp.701–702, Apr. 1999.
[8] M. AlMahamdy and J. Dill, “Early Termination of Turbo Decoding by Identification of Undecodable Blocks,” 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, pp. 1-6, 2017.
[9] A. Taffin, “Generalised stopping criterion for iterative decoders,” IEEElectronics Letters, vol. 39, no. 13, pp. 993-994, June 2003.
[10] L. Trifina, H.G. Baltă and A. Ruşinaru, “Decreasing of the turbo MAP decoding time by using an iterations stopping criterion, ” IEEE International Symposium on Signals, Circuits and Systems ISSCS 2005, Iasi, Romania, pp. 371–374, 14-15 July 2005
[11] F. M. Li and A. Y. Wu, “On the new stopping criteria of iterative turbo decoding by using decoding threshold, ” IEEE Transactions on Signal Processing, vol. 55, no. 11, pp. 5506–5516, Nov. 2007.
[12] J. Wu , B. R. Vojcic and J. Sheng, "Stopping Criteria for Iterative Decoding based on Mutual Information, ” 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), pp. 183-187, Nov, 2012
[13] A. Savin, L. Trifina, M. Andrei, “Threshold Based Iteration Stopping Criterion for Turbo Codes and for Scheme Combining a Turbo Code and a Golden Space-Time Block Code,” Advances in Electrical and Computer Engineering, vol.14, no.1, pp.139-142, 2014.
[14] I. Amamra et N. Derouiche, “Enhancement of iterative turbo decoding for HARQ systems,” ICTACT Journal on Communication Technology, vol. 7, no. 2, pp. 1295-1300, Jun. 2016
[15] A. Ouardi, A. Djebbari, B. Bouazza, “Optimal M-BCJR Turbo Decoding: The Z-MAP Algorithm,” Wireless Engineering and Technology, vol. 2, no. 4, pp. 230–234, 2011.
[16] V. Franz, J. B. Anderson. “Concatenated Decoding with a Reduced-Search BCJR Algorithm,” IEEE Journal on selected areas in communication, Vol, 16, pp. 186-195, 1998.

[1] A. Forster, Introduction to wireless sensor networks, John Wiley & Sons, 2016.
[2] A. Dahane and N.-E. Berrached, Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety, Apple Academic Press, 2019.
[3] E. C. Whitman, "Sosus: The “secret weapon” of undersea surveillance," Undersea Warfare, vol. 7, no. 2, p. 256, 2005.
[4] V. Jindal, "History and architecture of Wireless sensor networks for ubiquitous computing," International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), vol. 7, no. 2, pp. 214-217, February 2018.
[5] R. Silva, Z. Zinonos, J. S. Silva and V. Vassiliou, "Mobility in WSNs for critical applications," in 2011 IEEE Symposium on Computers and Communications (ISCC), 2011.
[6] D. Stevanovic and N. Vlajic, "Performance of IEEE 802.15. 4 in wireless sensor networks with a mobile sink implementing various mobility strategies," in 2008 33rd IEEE Conference on Local Computer Networks (LCN), 2008.
[7] V. Ramasamy, "Mobile Wireless Sensor Networks: An Overview," in Wireless Sensor Networks - Insights and Innovations, P. Sallis, Ed., IntechOpen, 2017.
[8] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, "A survey on sensor networks," IEEE Communications magazine, vol. 40, no. 8, pp. 102-114, 2002.
[9] T. P. Lambrou and C. G. Panayiotou, "A survey on routing techniques supporting mobility in sensor networks," in 2009 Fifth International Conference on Mobile Ad-hoc and Sensor Networks, 2009.
[10] U. Burgos, U. Amozarrain, C. Gómez-Calzado and A. Lafuente, "Routing in mobile wireless sensor networks: A leader-based approach," Sensors, vol. 17, no. 7, p. 1587, 2017.
[11] M. Fonoage, M. Cardei and A. Ambrose, "A QoS based routing protocol for wireless sensor networks," in International Performance Computing and Communications Conference, 2010.
[12] J. N. Al-Karaki and A. E. Kamal, "Routing techniques in wireless sensor networks: a survey," IEEE wireless communications, vol. 11, no. 6, pp. 6-28, 2004.
[13] J. Sen, "Routing security issues in wireless sensor networks: attacks and defenses," in Sustainable Wireless Sensor Networks, InTech, 2010, pp. 279-309.
[14] M. Radi, B. Dezfouli, K. A. Bakar and M. Lee, "Multipath routing in wireless sensor networks: survey and research challenges," Sensors, vol. 12, no. 1, pp. 650-685, 2012.
[15] S. Varshney and R. Kuma, "Variants of LEACH routing protocol in WSN: A comparative analysis," in 2018 8th International Conference on Cloud Computing, Data Science & Engineering (confluence), 2018.
[16] D.-S. Kim and Y.-J. Chung, "Self-organization routing protocol supporting mobile nodes for wireless sensor network," in First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06), 2006.
[17] G. Renugadevi and M. Sumithra, "An analysis on LEACH-mobile protocol for mobile wireless sensor networks," International Journal of Computer Applications, vol. 65, no. 21, pp. 38-42, 2013.
[18] N. Sabor, S. Sasaki, M. Abo-Zahhad and S. M. Ahmed, "A comprehensive survey on hierarchical-based routing protocols for mobile wireless sensor networks: review, taxonomy, and future directions," Wireless Communications and Mobile Computing, vol. 2017, 2017
[19] G. S. Kumar, M. V. Paul, G. Athithan and K. P. Jacob, "Routing protocol enhancement for handling node mobility in wireless sensor networks," in TENCON 2008-2008 IEEE Region 10 Conference, 2008.
[20] Z. Qi and Y. Min, "A routing protocol for mobile sensor network based on leach," in 10th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2014), 2014.
[21] S. Mottaghi and M. R. Zahabi, "Optimizing LEACH clustering algorithm with mobile sink and rendezvous nodes," AEU-International Journal of Electronics and Communications, vol. 69, no. 2, pp. 507-514, 2015.
[22] B. Nazir and H. Hasbullah, "Mobile sink based routing protocol (MSRP) for prolonging network lifetime in clustered wireless sensor network," in 2010 International Conference on Computer Applications and Industrial Electronics, 2010.
[23] C. E. Perkins, Ad hoc networking, vol. 1, Addison-wesley Reading, 2001. [24] techopedia.com, "Definition - What does Ad Hoc On-Demand Distance Vector (AODV) mean?," 2019. [Online]. Available: https://www.techopedia.com/definition/2922/ad-hoc-on-demand-distance-vector-aodv. [Accessed November 2019].
[25] H. I. Sigiuk and A. A. Ihbeel, "Performance evaluation of dynamic source routing protocol (DSR) on WSN," International Journal of Computing and Digital Systems, vol. 1, no. 1, pp. 19-24, 2012.
[26] D. Karaboga and B. Basturk, "A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm," Journal of global optimization, vol. 39, no. 3, pp. 459-471, 2007.
[27] Y. Yue, J. Li, H. Fan and Q. Qin, "Optimization-based artificial bee colony algorithm for data collection in large-scale mobile wireless sensor networks," Journal of Sensors, vol. 2016, 2016.
[28] S. Cakici, I. Erturk, S. Atmaca and A. Karahan, "A novel cross-layer routing protocol for increasing packet transfer reliability in mobile sensor networks," Wireless personal communications, vol. 77, no. 3, pp. 2235-2254, 2014.
[29] S. A. Awwad, C. K. Ng, N. K. Noordin and M. F. A. Rasid, "Cluster based routing protocol for mobile nodes in wireless sensor network," in 2009 International Symposium on Collaborative Technologies and Systems, 2009.
[30] J. Shi, X. Wei and W. Zhu, "An efficient algorithm for energy management in wireless sensor networks via employing multiple mobile sinks," International Journal of Distributed Sensor Networks, vol. 12, no. 1, 2016.
[31] S. Deng, J. Li and L. Shen, "Mobility-based clustering protocol for wireless sensor networks with mobile nodes," IET Wireless Sensor Systems, vol. 1, no. 1, pp. 39-47, 2011.
[32] S. Lindsey and C. S. Raghavendra, "PEGASIS: Power-efficient gathering in sensor information systems," in Proceedings, IEEE Aerospace Conference, 2002.
[33] M. R. Jafri, N. Javaid, A. Javaid and Z. A. Khan, "Maximizing the lifetime of multi-chain pegasis using sink mobility," arXiv preprint arXiv:1303.4347, 2013.
[34] R. Velmani and B. Kaarthick, "An efficient cluster-tree based data collection scheme for large mobile wireless sensor networks," IEEE Sensors Journal, vol. 15, no. 4, pp. 2377-2390, 2014.
[35] R. Velmani and B. Kaarthick, "An energy efficient data gathering in dense mobile wireless sensor networks," ISRN Sensor Networks, vol. 2014, 2014.
[36] R. Anitha and P. Kamalakkannan, "Enhanced cluster based routing protocol for mobile nodes in wireless sensor network," in 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, 2013.
[37] T. Hayes and F. H. Ali, "Proactive Highly Ambulatory Sensor Routing (PHASeR) protocol for mobile wireless sensor networks," Pervasive and Mobile Computing, vol. 21, pp. 47-61, 2015.
[38] C. Tunca, S. Isik, M. Y. Donmez and C. Ersoy, "Ring routing: An energy-efficient routing protocol for wireless sensor networks with a mobile sink," IEEE Transactions on Mobile Computing, vol. 14, no. 9, pp. 1947-1960, 2014.
[39] A. E. Kostin, Y. Fanaeian and H. Al-Wattar, "Anycast tree-based routing in mobile wireless sensor networks with multiple sinks," Wireless Networks, vol. 22, no. 2, pp. 579-598, 2016.
[40] S. Sarangi and S. Kar, "Genetic algorithm based mobility aware clustering for energy efficient routing in wireless sensor networks," in 2011 17th IEEE International Conference on Networks, 2011.
[41] J. Wang, Y.-Q. Cao, B. Li, S.-Y. Lee and J.-U. Kim, "A glowworm swarm optimization based clustering algorithm with mobile sink support for wireless sensor networks," Journal of Internet Technology , vol. 16, no. 5, pp. 825-832, 2015.
[42] D. W. Carman, P. S. Kruus and B. J. Matt, "Constraints and approaches for distributed sensor network security," 2000. [43] I. Kamel and H. Juma, "A lightweight data integrity scheme for sensor networks," Sensors, vol. 11, no. 4, pp. 4118-4136, 2011.
[44] C.-M. Chen, Y.-H. Lin, Y.-H. Chen and H.-M. Sun, "Sashimi: secure aggregation via successively hierarchical inspecting of message integrity on wsn," Journal of Information Hiding and Multimedia Signal Processing, vol. 4, no. 1, pp. 57-72, 2013.
[45] I. Silva, L. A. Guedes, P. Portugal and F. Vasques, "Reliability and availability evaluation of wireless sensor networks for industrial applications," Sensors, vol. 12, no. 1, pp. 806-838, 2012.
[46] R. Riaz, T.-S. Chung, S. S. Rizvi and N. Yaqub, "BAS: The Biphase Authentication Scheme for Wireless Sensor Networks," Security and Communication Networks, vol. 2017, 2017.
[47] S. A. Ch, Z. Mehmood, D. Rashid Amin, M. Alghobiri and T. A. Malik, "Ensuring Reliability & Freshness in Wireless Sensor Networks," in 2010 International Conference on Intelligent Network and Computing (ICINC 2010) , 2010.
[48] L. Lazos and R. Poovendran, "SeRLoc: Robust localization for wireless sensor networks," ACM Transactions on Sensor Networks (TOSN), vol. 1, no. 1, pp. 73-100, 2005.
[49] A. Srinivasan and J. Wu, "A survey on secure localization in wireless sensor networks," Encyclopedia of Wireless and Mobile communications, pp. 1-26, 2007.
[50] J. Hwang and Y. Kim, "Revisiting random key pre-distribution schemes for wireless sensor networks," in Proceedings of the 2nd ACM Workshop on Security of Ad Hoc and Sensor Networks, 2004.
[51] A.-S. K. Pathan, Security of self-organizing networks: MANET, WSN, WMN, VANET, CRC press, 2016.
[52] J. He, J. Chen, P. Cheng and X. Cao, "Secure Time Synchronization in WirelessSensor Networks: A MaximumConsensus-Based Approach," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 4, pp. 1055-1065, 2014.
[53] S. Ganeriwal, S. Čapkun, C.-C. Han and M. B. Srivastava, "Secure time synchronization service for sensor networks," in Proceedings of the 4th ACM workshop on Wireless security, 2005.
[54] G. Yang, L. Dai and Z. Wei, "Challenges, threats, security issues and new trends of underwater wireless sensor networks," Sensors, vol. 18, no. 11, p. 3907, 2018.
[55] M. Riaz, A. Buriro and A. Mahboob, "Classification of Attacks on Wireless Sensor Networks : A Survey," International Journal of Wireless and Microwave Technologies, vol. 8, pp. 15-39, 11 2018.
[56] S. Sudheendran, O. Bouachir, S. Moussa and A. O. Dahmane, "Review — Challenges of mobility aware MAC protocols in WSN," in 2018 Advances in Science and Engineering Technology International Conferences (ASET), 2018.
[57] H. Gong, X. Zhang, L. Yu, X. Wang and F. Yi, "A study on MAC protocols for wireless sensor networks," in 2009 Fourth International Conference on Frontier of Computer Science and Technology, 2009.
[58] K. Chelli, "Security issues in wireless sensor networks: Attacks and countermeasures," in Proceedings of the World Congress on Engineering, 2015.
[59] P. M. Jawandhiya, M. M. Ghonge, M. Ali and J. Deshpande, "A survey of mobile ad hoc network attacks," International Journal of Engineering Science and Technology, vol. 2, no. 9, pp. 4063-4071, 2010.
[60] D. R. Raymond and S. F. Midkiff, "Denial-of-service in wireless sensor networks: Attacks and defenses," IEEE Pervasive Computing, pp. 74-81, 2008.
[61] A. D. Wood and J. A. Stankovic, "Denial of service in sensor networks," computer, vol. 35, no. 10, pp. 54-62, 2002.
[62] R. W. Anwar, M. Bakhtiari, A. Zainal, A. H. Abdullah and K. N. Qureshi, "Security Issues and Attacks in Wireless Sensor Network," World Applied Sciences Journal, vol. 30, no. 10, pp. 1224-1227, 2014.
[63] T. H. Hadi, "MANET and WSN: WHAT MAKES THEM DIFFERENT?," IRACST – International Journal of Computer Networks and Wireless Communications (IJCNWC), vol. 7, no. 6, pp. 23-28, Nov-Dec 2017.
[64] M. L. Messai, "Classification of attacks in wireless sensor networks," in International Congress on Telecommunication and Application 2014 arXiv preprint arXiv:1406.4516, 2014.

[1] A. Akhtar, A. Khanum, S. A. Khan, and A. Shaukat, “Automated plant disease analysis (apda): performance comparison of machine learning techniques,” in 2013 11th International Conference on Frontiers of Information Technology. IEEE, 2013, pp. 60–65.
[2] M. H. Saleem, J. Potgieter, and K. M. Arif, “Plant disease detection and classification by deep learning,” Plants, vol. 8, no. 11, p. 468, 2019.
[3] R. M. Haralick, K. Shanmugam, and I. H. Dinstein, “Textural features for image classification,” IEEE Transactions on Systems, Man, and Cybernetics, no. 6, pp. 610–621, 1973.
[4] J. Isleib, Signs and symptoms of plant disease, 2019 (accessed February 3, 2019). [Online]. Available: https://www.canr.msu.edu/news/signs and symptoms of plant disease is it fungal viral or bacterial
[5] R. Borges, M. Rossato, M. Santos, M. Ferreira, M. Fonseca, A. Reis, and L. Boiteux, “First report of a leaf spot caused by paramyrothecium roridum on tectona grandis in brazil,” Plant Disease, vol. 102, no. 8, pp. 1661–1661, 2018.
[6] H. K. Mewada, A. V. Patel, and K. K. Mahant, “Concurrent design of active contour for image segmentation using zynq zc702,” Computers & Electrical Engineering, vol. 72, pp. 631–643, 2018.
[7] M. Rzanny, M. Seeland, J. W¨aldchen, and P. M¨ader, “Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain,” Plant methods, vol. 13, no. 1, pp. 1–11, 2017.
[8] D. Vukadinovic and G. Polder, “Watershed and supervised classification based fully automated method for separate leaf segmentation,” in The Netherland Congress on Computer Vision, 2015, pp. 1–2.
[9] C. Niu, H. Li, Y. Niu, Z. Zhou, Y. Bu, and W. Zheng, “Segmentation of cotton leaves based on improved watershed algorithm,” in International Conference on Computer and Computing Technologies in Agriculture. Springer, 2015, pp. 425–436.
[10] L. S. Pinto, A. Ray, M. U. Reddy, P. Perumal, and P. Aishwarya, “Crop disease classification using texture analysis,” in 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2016, pp. 825–828.
[11] A. Abraham, R. Falcon, and M. Koeppen, Computational Intelligence in Wireless Sensor Networks: Recent Advances and Future Challenges. Springer, 2017, vol. 676.
[12] S. Hu, H. Wang, C. She, and J. Wang, “Agont: ontology for agriculture internet of things,” in International Conference on Computer and Computing Technologies in Agriculture. Springer, 2010, pp. 131–137.
[13] Y. Shi, Z. Wang, X. Wang, and S. Zhang, “Internet of things application to monitoring plant disease and insect pests,” in 2015 International conference on Applied Science and Engineering Innovation. Atlantis Press, 2015.
[14] A. Kapoor, S. I. Bhat, S. Shidnal, and A. Mehra, “Implementation of iot (internet of things) and image processing in smart agriculture,” in 2016 International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2016, pp. 21–26.
[15] N. Anantrasirichai, S. Hannuna, and N. Canagarajah, “Automatic leaf extraction from outdoor images,” arXiv preprint arXiv:1709.06437, 2017.
[16] V. Singh and A. K. Misra, “Detection of plant leaf diseases using image segmentation and soft computing techniques,” Information processing in Agriculture, vol. 4, no. 1, pp. 41–49, 2017.
[17] N. P. Singh, R. Kumar, and R. Srivastava, “Local entropy thresholding based fast retinal vessels segmentation by modifying matched filter,” in International Conference on Computing, Communication & Automation. IEEE, 2015, pp. 1166–1170.
[18] E. Hamuda, M. Glavin, and E. Jones, “A survey of image processing techniques for plant extraction and segmentation in the field,” Computers and Electronics in Agriculture, vol. 125, pp. 184–199, 2016.
[19] B.-y. Sun and M.-c. Lee, “Support vector machine for multiple feature classifcation,” in 2006 IEEE International Conference on Multimedia and Expo. IEEE, 2006, pp. 501–504.
[20] S. Arivazhagan, R. N. Shebiah, S. Ananthi, and S. V. Varthini, “Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features,” Agricultural Engineering International: CIGR Journal, vol. 15, no. 1, pp. 211–217, 2013.
[21] S. Arivazhagan, R. Shebiah, S. Ananthi, and S. Varthini, “Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features,” Agricultural Engineering International: CIGR Journal, vol. 15, no. 1, pp. 211–217, 2013.

[1] D. Gizopoulos, Advances in electronic testing. Challenges and methodologies. (Springer, Dordrecht, 2006)
[2] P. Kabisatpathy, A. Barua and S. Sinha, Fault diagnosis of analog integrated circuits. (Springer, Dordrecht, 2005).
[3] Y. Sun (ed.), Test and diagnosis of analog mixed-signal and RF integrated circuits: the system on chip approach, (IET Digital Library, UK, 2008)
[4] D. Binu, B.S. Kariyappa, “A survey on fault diagnosis of analog circuits: Taxonomy and state of the art”, Int. J. Electron. Commun. (AEÜ), vol. 73, pp. 68-83, 2017. doi: 10.1016/j.aeue.2017.01.002.
[5] Z. Czaja, “Using a square-wave signal for fault diagnosis of analog parts of mixed-signal electronic embedded systems”, IEEE Trans. Instrum. Meas., vol. 57, pp. 1589-1595, 2008. doi: 10.1109/TIM.2008.925342
[6] H. Han, H. Wang, S. Tian, N. Zhang, “A new analog circuit fault diagnosis method based on improved Mahalanobis distance”, J. Electron. Test., vol. 29, pp. 95–102, 2013. https://doi.org/10.1007/s10836-012- 5342-z.
[7] Ch. Yang, S. Tian, B. Long, F. Chen, “Methods of handling the tolerance and test-point selection problem for analog-circuit fault diagnosis”, IEEE Trans. Instrum. Means., vol. 60, pp. 176-185, 2011. doi: 10.1109/TIM.2010.2050356
[8] Q.Z. Zhou, Y.L. Xie, X.F. Li, D.J. Bi, X. Xie, S.S. Xie, “Methodology and equipments for analog circuit parametric faults diagnosis based on matrix eigenvalues”, IEEE Trans. Appl. Superconductivity, vol. 24, pp. 1–6, 2014. https://doi.org/10.1109/TASC.2014.2340447.
[9] Y. Deng, Y. N. Liu, “Soft fault diagnosis in analog circuits based on bispectral models”, J. Electron. Test., vol. 33, pp. 543-557, 2017. https://doi.org/10.1007/s10836-017-5686-5.
[10] S. Djordjevic, M.T. Pesic, “A fault verification method based on the substitution theorem and voltage-current phase relationship”, J. Electron. Test., vol. 36, pp. 617-629, 2020. https://doi.org/10.1007/s10836-020- 05901-5.
[11] T. Gao, J. Yang, S. Jiang, “A novel incipient fault diagnosis method for analog circuits based on GMKL-SVM and wavelet fusion feature”. IEEE Trans. Instrum. Meas., vol. 70, 2021. https://doi.org/10.1109/TIM.2020.3024337.
[12] Y. Li, R. Zhang, Y. Guo, P. Huan, M. Zhang, “Nonlinear soft fault diagnosis of analog circuits based on RCCA-SVM”, IEEE Access., vol. 8, pp. 60951-60963, 2020. doi.org/10.1109/ACCESS.2020.2982246.
[13] M. Tadeusiewicz, S. Hałgas, “A new approach to multiple soft fault diagnosis of analog BJT and CMOS circuits”, IEEE Trans. Instrum. Meas., vol. 64, pp. 2688–2695, 2015. https://doi.org/10.1109/TIM.2015.2421712.
[14] M. Tadeusiewicz, S. Hałgas, “A method for local parametric fault diagnosis of a broad class of analog integrated circuits”, IEEE Trans. Instrum. Meas., vol. 67, pp. 328–337, 2018. https://doi.org/10.1109/TIM.2017.2775438.
[15] Y. Xie, X. Li, S. Xie, X. Xie, Q. Zhou, “Soft fault diagnosis of analog circuits via frequency response function measurements”, J. Electron. Test., vol. 30, pp. 243–249, 2014. https://doi.org/10.1007/s10836-014- 5445-9.
[16] M. Tadeusiewicz, S. Hałgas, M. Korzybski, “An algorithm for soft-fault diagnosis of linear and nonlinear circuits”, IEEE Trans. Circ. Syst.-I., vol. 49, pp. 1648-1653, 2002. doi: 10.1109/TCSI.2002.804596.
[17] M. Tadeusiewicz, S. Hałgas, “Soft fault diagnosis of linear circuits with the special attention paid to the circuits containing current conveyors”, Int. J. Electron Commun. (AEÜ), vol. 115, 2020. https://doi.org/10.1016/j.aeue.2019.153036.
[18] M. Tadeusiewicz and S. Hałgas, “A method for multiple soft fault diagnosis of linear analog circuits”, Measurement, vol. 131, pp. 714-722, 2019. doi: 10.1016/j.measurement.2018.09.001.
[19] M. Jahangiri, F. Razaghian, “Fault detection in analogue circuit using hybrid evolutionary algorithm and neural network”, Analog Int. Cir. Sig. Proc., vol. 80, pp. 551-556, 2014. https://doi.org/10.1007/s10470-014- 0352-7
[20] P. Jantos, D. Grzechca, J. Rutkowski, “Evolutionary algorithms for global parametric fault diagnosis in analogue integrated circuits”, Bull. Polish Acad. Scien., vol. 60, pp. 133-142, 2012. doi: 10.2478/v10175- 012-0019-4
[21] C. Yang, “Multiple soft fault diagnosis of analog filter circuit based on genetic algorithm”, IEEE Access., vol. 8, pp. 8193-8201, 2020. https://doi.org/10.1109/ACCESS.2020.2964054.
[22] D. Grzechca, “Soft fault clustering in analog electronic circuits with the use of self organizing neural network”, Metrol Meas Syst., vol. 8, pp. 555–568, 2011. doi: 10.2478/v10178-011-0054-8
[23] B. Long, M. Li, H. Wang, S. Tian, “Diagnostics of analog circuits based on LS-SVM using time-domain features”, Circuits Syst. Signal. Process., vol. 32, pp. 2683-2706, 2013. https://doi.org/10.1007/s00034-013-9614-3
[24] R. Sałat, S, Osowski, “Support Vector Machine for soft fault location in electrical circuits”, J. Intelligent Fuzzy Systems., vol. 22, pp. 21-31, 2011. doi: 10.3233/IFS-2010-0471.
[25] D. Grzechca, “Construction of an expert system based on fuzzy logic for diagnosis of analog electronic circuits”, Int. Journal of Electronic and Telecomunications, vol. 61, pp. 77-82, 2015. doi: 10.1515/eletel-2015- 0010
[26] P. Bilski, “Analysis of the ensemble of regression algorithms for the analog circuit parametric identification”, Measurement, vol. 170, pp. 503–514, 2020. https://doi.org/10.1016/j.measurement.2020.107829.
[27] M. Tadeusiewicz, M. Ossowski, “A verification technique for multiple soft fault diagnosis of linear analog circuits”, Int. Journal of Electronic and Telecomunications, vol. 64, pp. 83-89, 2018. doi: 10.24425/118150.
[28] M. Tadeusiewicz, M. Ossowski, “Modeling analysis and diagnosis of analog circuits in z-domain”, J. Circ. Syst. Comput, vol. 29, no. 02, 2020. https://doi.org/10.1142/S0218126620500280
[29] G. Fedi, S. Manetti, M.C. Piccirilli, J. Starzyk, “Determination of an optimum set of testable components in the fault diagnosis of analog linear circuits”, IEEE Trans. Circ. Syst.-I, vol. 46, pp. 779-787, 1999. doi: 10.1109/81.774222
[30] S. Manetti, M.C. Piccirilli, “A singular-value decomposition approach for ambiguity group determination in analog circuits”, IEEE Trans. Circ. Syst.-I, vol. 50 pp. 477-487, 2003. doi: 10.1109/TCSI.2003.809811.
[31] S. Saeedi, S.H. Pishgar, M. Eslami, “Optimum test point selection method for analog fault dictionary techniques”, Analog Integr. Circuits Signal Processing., vol. 100, pp. 167-179, 2019. https://doi.org/10.1007/s10470-019-01453-7.
[32] X. Tang, A. Xu, R. Li, M. Zhu, J. Dai, “Simulation-based diagnostic model for automatic testability analysis of analog circuit”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems., vol. 37, pp. 1483-1493, 2018. https://doi.org/10.1109/TCAD.2017.2762647.

[1] WorldDAB, „WorldDAB infographic (Q2 2019)”, https://www.worlddab.org/resources/infographic. (29 03 2020).
[2] S. Kubal, M. Kowal, P. Piotrowski, K. Staniec, “Optimal Transmission Technique for DAB+ Operating in the SFN Network”, in Springer Nature Switzerland, Theory and Applications of Dependable Computer Systems, Proceedings of the Fifteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 29 – July 3, 2020, Brunów, Poland.
[3] European Telecommunications Standards Institute, EN 300 401 V2.1.1 Draft ETSI EN 300 401 V2.1.1 Radio Broadcasting Systems; Digital Audio Broadcasting (DAB) to mobile, portable and fixed receivers, 2016.
[4] European Broadcasting Union, „TR 24 SFN Frequency planning and network implementation with regard to T-DAB and DVB-T,” Genewa, 2013.
[5] R. Zieliński, “Fade analysis in DAB+ SFN network in Wroclaw”, Proc. of the 2019 International Symposium on Electromagnetic Compatibility (EMC Europe 2019), Barcelona, Spain, September 2– 6, 2019, (978-1-7281-0594-9/19/$31.00 © 2019 IEEE).
[6] D. Plebs, J. Wout., P. Angueira, J.A. Arenas, L. Verloock, L. Martens,: “On the Methodology for Calculating SFN Gain in Digital Broadcast Systems”, IEEE Transactions on Broadcasting, Vol. 56, No. 3, September 2010, pp.331-339
[7] K. Staniec, S. Kubal, M. Kowal, P. Piotrowski,: “On the Influence of the Coding Rate and SFN Gain on DAB+ Coverage”, Advances in Intelligent Systems and Computing, 2020.
[8] P. Gilski, J. Stefanski, “Subjective and Objective Comparative Study of DAB+ Broadcast System”, Archives of Acoustics, Vol. 42, No. 1, pp. 3–11 (2017), by PAN – IPPT)
[9] S. Brachmański, M. Kin, “Assessment of speech quality in Digital Audio Broadcasting (DAB+) system”, AES 134th Convention, Rome, Italy, 2013.
[10] M. Kin, “Subjective evaluation of sound quality of musical recordings transmitted via DAB+ system", in Proc. 134th Audio Engineering Society Convention, Rome, Italy, 2013, pp. 1231{2366.
[11] P. Gilski., J. Stefanski, “Digital Audio Broadcasting or Webcasting: A Network Quality Perspective”, Journal of Telecommunications and Information Technology, 1, 9–15, 2016.
[12] P. Pocta, J.G. Beerends, “Subjective and Objective Assessment of Perceived Audio Quality of Current Digital Audio Broadcasting Systems and WebCasting Applications”, IEEE Transactions on Broadcasting, 61, 407–415, 2015.
[13] International Telecommunication Union, ITU-R BS.2214-3, “Planning parameters for terrestrial digital sound broadcasting systems in VHF bands”, 2019.
[14] European Broadcasting Union, TECH 3391, “Guidelines for DAB network planning”, Genewa, 2018.
[15] National Institut of Telecommunications, „LokalDAB,”. https://www.il-pib.pl/pl/projekty-krajowe/projekty-krajowe-ze-srodkow-na-nauke/projekt-localdab, (25 05 2020).
[16] Radio Polska, „MUX LokalDAB,”. http://radiopolska.pl/wykaz/mux/145. (2020 05 25).
[17] European Broadcasting Union, TR 016, “Benefits and Limitations of Single Frequency Networks (SFN) for DTT”, 2012.
[18] A. Tissen, A. Waal, F. Maier, “Evaluations and Measurements of a Single Frequency Network with DRM+”, European Wireless Conference, Poznan, 2012.
[19] R. Zieliński, “Conditions for obtaining correct DAB+ signal reception on a single frequency network” (in polish), Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, nr. 6, 2017, str. 509-512.
[20] R. Zieliński, “Analysis of depth of fades in a single frequency DAB+ network on the example of the network in Wroclaw” (in polish), Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, nr. 6, 2018, str. 320-325
[21] R. Zieliński, “Distribution of fade area in a SFN network on the example of the DAB+ network” (in polish), Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, nr. 8-9, 2018, str. 581-584.
[22] R. Zieliński, “Analysis of the phenomenon of fades in the SFN DAB+ network with three transmitters on the example of the network in Wroclaw” (in polish),. Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, nr. 6, 2019, str. 386-391.
[23] R. Zieliński, “Analysis and Comparision of the Fade Phenomenon in the SFN DAB+ Network With Two and Three Transmitters”, Intl Journal of Electronics and Telecommunications, 2020, Vol. 66, No. 1, str.. 85-92.
[24] International Telecommunication Union, Recommendation ITU-R P.1546-5 : “Method for point-to-area predictions for terrestrial services in the frequency range 30 MHz to 3 000 MHz”, 2013.
[25] I. Michalski, thesis, "Analysis of the distribution of e-m field strength and fades from the SFN DAB+ network in Wroclaw”, Wroclaw University of Science and Technology, 2020.