iosr-JEEE   Volume-17 ~ Issue-5 ~ Sep. – Oct. 2022

Abstract: Soil loss in our environment is a very serious issue and has caused great damage to business activities. It poses serious hazard to properties. Many models and theories have investigated soil loss in various perspectives, while Empirical Soil Loss Regression Model (ESLRM) had approached it using empirical methods. This study focuses on the effect of those experimental parameters used or employed in (ESLRM). The parameters includes rainfall intensity I, Slope of the catchment S, Duration of the rainfall D, Soil density,, size of catchment area A, Organic content, O and Clay content of the soil C. From the model equation, intensity, slope, duration, density and Area represent the erosive effect in soil loss operation with their power coefficient being positive, while organic content and clay content of the soil represent the erodibility component of soil loss operation with negative sign in their.......

Key words: ESLRM, Calibration, Catchment, Clay, Intensity, Measured, Organic, Predicted, Slope, Verification

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[5]. Foster, G. R., Toy, T. E., &Renard, K. G. (2003). Comparison of the USLE, RUSLE1.06c, and RUSLE2 for application to highly disturbed lands. p. 154–160. In K.G. Renardet al. (ed.) Proc. Interagency Conf. on Research in the Watersheds, 1st, Benson, AZ. 27–30 Oct. 2003. USDA-ARS, Tucson, AZ..

Abstract: The use of questionnaires to determine the fatigue level of persons is generally in adequate due to the inherent inaccuracies in self-reports, asking someone how tired they are, is not reliable and therefore self-reports would also clearly be an inefficient system for detecting fatigue. There is need of an automated system to detect how fatigued someone truly is. This research proposes a model plan to perform facial expression experiments with a number of rested and fatigue individuals so as to obtain a very good threshold values for detecting eye fatigue, frequency of eye blinking, frequency of yawning, head nodding and rotation in order to ascertain the actual fatigue of an individual. By identifying fatigue and taking proactive measures before it becomes an issue, you can ensure a safe, healthy, and productive work environment for your entire employees.

Key words: Fatigue Detection, Face Detection, ROI, Oil and Gas

[1]. A.J. Beurskens, U. Bultmann, I. Kant, et al "Fatigue among working people: validity of a Questionnaire Measure‟‟Journal of Occupational Environment Med. vol.57(5) pp. 353–357, 2000.
[2]. Y.Aratake, K. Tanaka, K. Wada, et al "‟Development of Japanese Version of the Check-list Individual Strength Questionnaire in a Working Population‟‟Journal of Occupational Health vol.49 pp. 453–460, 2007.
[3]. J.W.Stephen, S. Cindy, S. Matthew, "‟Fatigue and Measurement of Fatigue‟‟JBI Database of Systematic Reviews and Implementation Reports,vol. 17(3) pp.261-266, 2019
[4]. L.J. Tiesinga, T.W. Dassen, R.J. Halfens, "Fatigue: A Summary of the Definitions, Dimensions, and Indicators" Journal of Nursing Diagnosisvol. 751–62,1996.
[5]. M.C. Dalakas, V. Mock, M.J. Hawkins "Fatigue: Definitions, Mechanisms, And Paradigms for Study" Journal of Seminars in Oncology vol. 25(1) pp. 48–53, 1998..

Abstract: Background: More than seventy percent Indian people live in villages. Their main occupation is agriculture. Internet of thing can bring a revolution by empowering millions in rural areas and connecting rural people to the mainstream India. This project focuses on the current scenario of Internet of thing in rural India, the issues mainly faces by the rural India and how the IoT is providing solutions to the problems of rural people. For this we design power management system. This system is capable to measure and analyse the electrical parameters like current, power and energy consumption of each loads. IoT software application `ThingSpeak' is used to obtain the real-time data of electrical parameters. By using this data, the consumer as well as electrical power companies in smart grid paradigm better manages the power consumption by reducing billing costs.

Key words: hingspeak,ArduinoBCMGPIO

[1]. T. Teng-Fa and K. Cheng-Chien, "A smart monitoring and control system for the household electric power usage," in 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Hong Kong, China, 2013.
[2]. W. Wang, Y. Xu, and M. Khanna, "A Survey on the Communication Architecturesin Smart Grid," Computer Networks, vol. 55, no. 15, pp. 3604{3629, 2011.
[3]. Y.R.Tan,F.W.Akashah,andN.Mahyuddin,"The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014," in MATEC Web of Conferences, vol. 66, p. 00109, 2016
[4]. S. S. van Dam, C. A. Bakker, and J. D. M. van Hal, \Home energy monitors: impact over the medium-term," Building Research and Information, vol. 38, no. 5, pp.458-469, 2010.
[5]. W. A. Jabbar, T. K. Kian, R. M. Ramli et al., "Design and Fabrication of Smart Home With Internet of Things Enabled Automation System," IEEE Access, vol. 7,pp. 144059- 144074, 2019.

Abstract: This work proposed a sinusoidally modulated substrate integrated cavity loaded substrate integrated waveguide (SIW) band pass filter. The field components of the unloaded sinusoidally modulated substrate integrated waveguide are discussed. The width of the periodic structure is a function of the modulation index of the sinusoidally modulated SIW. The periodic structure shows the filter-like property, the filter-like property of the sinusoidally modulated SIW is discussed. The band width of this periodic structure is increased by loading this periodic structure with cavities.

Key Words: Periodic, Sinusoidally, SIW

[1]. F. Grine, T. Djerafi, M. T. Benhabiles, K Wu, M.L. Riabi, " High-Q Substrate Integrated Waveguide Resonator Filter With Dielectric Loading" IEEE Access 5, 12526–12532. 2017.
[2]. L.Hung, N Yuan, "A Compact Wideband SIW Band pass Filter with Wide Stop band and High Selectivity"MDPI electronics, 8,440, 2019.
[3]. J. Hirokawa and M. Ando, "Single-layer feed waveguide consisting of posts for plane tem wave excitation in parallel plates," IEEE Transactions on Antennas and Propagation, vol. 46, no. 5, pp. 625–630, 1998.
[4]. F. Xu and K. Wu, "Guided-wave and leakage characteristics of substrate integrated waveguide," IEEE Transactions on microwave theory and techniques, vol. 53, no. 1, pp. 66–73, 2005.
[5]. U. Naeem, A. Iqbal, M. F. Shafique, and S. Bila, "Efficient design methodology for a complex dra-siw filter-antenna subsystem," International Journal of Antennas and Propagation, vol. 2017, 2017.

Abstract: This research study finds the electron and heavy-hole effective masses in crystalline (100) oriented type Ib and IIb Diamond semiconductor and the properties of the metal-oxide-semiconductor (MOS) hole device on Diamond theoretically. The universal mass-energy equivalence relation expressed as a first-order differential equation is given as dE/E equals dm/m. It is used to determine the effective masses in semiconductors and insulators and the MOS device properties. The properties are found without fabricating the device purely based on the above electron or hole particle physics universal concept that relates to the properties of the MOS device. The longitudinal electron effective mass of Diamond is found to be 0.43m for one conduction valley in the [100] direction and the heavy-hole mass is 0.57m. The transverse electron effective mass is also found to be 0.32m. The properties of the MOS hole device are further determined.

Key words: Diamond,Effective Mass, Intrinsic Defects,MOS, FN-Tunnelling

[1]. W. Fei, Te Bi, M. Iwataki, S. Imanishi, H. Kawarada, "Oxidized Si terminated diamond and its MOSFET operation with SiO2 gate insulator", Appl. Phys. Letts., 116, 212103 (2020).
[2]. Y. Sasama, T. Kageura, M. Imura, K. Watanabe, T. Taniguchi, T. Uchihashi, Y. Takahide, "High-mobility p-channel wide bandgap transistors based on h-BN/diamond heterostructures, arXiv Preprint, 2102, 05982 (2021).
[3]. R.K. Chanana, "A new method for calculating charged deep level defects density in doped semiconductors from the band offsets of MIS device interfaces", IOSR-J. Appl. Phys., 8(4), 53-56 (2016).
[4]. R.K. Chanana, "Intrinsic Fermi level and charged intrinsic defects density in doped semiconductors from the band offsets of MIS device interfaces", IOSR-J. Appl. Phys., 9(6), 1-7 (2017).
[5]. R.K. Chanana, "Linear model for the variation of semiconductor bandgap with high temperature for high temperature electronics", IOSR-J. Electrical and Electronics Engg., 16(6), 5-8 (2021).

Abstract: While traditional electricity meters measure the power consumption of a home or business, smart meters can record energy usage in real time. The primary objective of Smart Meters is to reduce energy consumption in households Most importantly, smart meters enable two-way communication between the utility and the home/business. While The Government of India's initiatives like 'Make in India' and 'Smart Cities' need an efficient, reliable, and continuous power supply. India's power sector in the present day is facing a lot of problems like AT & C losses, inefficient distribution, and transmission systems because of age-old infrastructure, and power........

Key words: Smart meter, Low-cost sensors and devices, IoT-based meter, Sensor and devices for IoT, Application, and other topics of IoT

[1]. Omkar Natu, Prof.S.A.Chavan (2013),"GSM Based Smart Street Light Monitoring and Control System"(IJCSE),187-18
[2]. NIKHIL.N. PATIL, SUMIT.N. KHAMKAR, DILEEP M.BIND, VIVEK R.KURADE, GANESH L.SONAWANE (2018), "Smart Wireless Electronic Energy Meter" (IRJET),2662-2665
[3]. Dr.Adithya Tiwary, Manish Mahato, Mohit Tripathi,Mayank Shrivastava,Matnak Kumar Chandrol,Abhitesh Chidar (2018),"Design and Implementation of an Innovative Internet of Things (IOT) Based Smart Energy Meter"(IJFRCSCE),244-247
[4]. M.Faisal , Thahia Fahrin Karim, Abu Ridwan Pavel, M.S.Hossain Lipu (2019) "Development of Smart Energy Meter For Energy Cost Analysis of Conventional Grid and Solar Energy",(IEEE),91-95
[5]. Syed Astra Shah (2019)," Automatic Electric Bill Generation System "(IOSR-JECE),75-79.

Abstract: This paper presents a Modeling, Simulation and Control of a Two-Link robot arm.This Workis taken from the FinalYear capstone project. First The Robot specifications, Robot Kinematics, Forward kinematics and InverseKinematics of Two-Link robot arm were presented. Then The dynamics ofthe Two-Link robot arm was studied toderive the equations of motion based on Euler-Lagrange Equation of motion. And then the modeling of the Two-Link robot arm using Simscape Multibody andRobotics system toolbox,A Control Design was performed using Fuzzy Logic controller for the modeling and control Technique. The models have been done based onMATLAB2020Rb/Simulink software.

Key words: Modeling, Two-Link robot arm, Fuzzy Logic Control, Simscape Multibody Toolbox, Robotic System Toolbox,MATLAB2020Rb/Simulink

[1]. Y. Patel and P. George, Performance measurement and dynamic analysisof two dof robotic arm manipulator, Int. J. Res. Eng. Technol, vol. 2, no.9, pp. 7784, 2013.
[2]. A. M. Mustafa and A. Al-Saif, Modeling, simulation and control of 2-DOF robot, Global Journal of Research In Engineering, 2014.
[3]. K. Lochan and B. K. Roy, Control of two-link 2-dof robot manipulatorusing fuzzy logic techniques: a review, in Proceedings of fourth international conference on soft computing for problem solving, pp. 499511,Springer, 2015.
[4]. R. H. Mohammed, F. Bendary, and K. Elserafi, Trajectory trackingcontrol for robot manipulator using fractional order-fuzzy-pid controller,
International Journal of Computer Applications, vol. 134, no. 15, pp.2229, 2016.
[5]. Z. Gosiewski and G. Michaowski, Modeling of vertical planar two-linkmanipulator, in Solid State Phenomena, vol. 164, pp. 366370, Trans TechPubl, 2010.

Abstract: Load flow analysis is an important tool used in detecting challenges in a power system network such as voltage instability and losses. In this research, Newton - Raphson method is used on the MATLAB platform for modeling and analysis of the North Central Nigeria 330 kV network consisting of 8 load buses, 4 generating stations and 14 transmission lines. The result of the load flow analysis shows that bus 2 (0.8834) and bus 5 (0.8835) are outside the tolerance level of 0.95 pu to 1.05 pu. The total line losses of the real power and reactive power are 1402.889MW and 723.788MVAr respectively. TCSC and the UPFC devices were introduced to enhance the voltage level and reduce the losses on the network. A line stability index was carried out to obtain the optimal placement. Line 3 (bus 2 to 5) at 1.0104 and line 8 (bus 5 to 7) at 0.6968 have values close to 1.0 making them the most......

Key words: Load flow, Newton-Raphson, FACTS Devices, optimization, Line stability index

[1]. Usman, R., Sigalo M. B. andMcdonald, S. Analysis of the Effect of Flexible Alternating Current Transmission System (Facts) on the Nigerian 330Kv Transmission Network Using Eracs and Matlab Simullink. European Journal of Engineering and Technology. 2016;4(3), 18–34. www.idpublications.org
[2]. Ebuner, U., Eyechukwu O. A. and Aneke, J. I. Enhancement of Power Flow Control in Nigeria 330kv Transmission Network Using D-Facts Devices.IRE Journals 2018;2(4), 94–100.
[3]. Liu, J., Chen, J. and Qian, Z.Comparative analysis of FACTS devices based on the comprehensive evaluation index system. MATEC Web of Conferences. 2017;95, 1–5.https://doi.org/10.1051/matecconf/20179515002
[4]. Paserba, J. J.How FACTS controllers benefit AC transmission systems - Phases of power system studies. 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009, 1–6. https://doi.org/10.1109/PSCE.2009.4840098
[5]. Khan, M. T. andSiddiqui, A. S. FACTS device control strategy using PMU. Perspectives in Science. 2016;8, 730–732. https://doi.org/10.1016/j.pisc.2016.06.072

Abstract: This paper studies the state estimator for a class of neural networks with time delay. By constructing a suitable Lyapunov function and using the inequality technique, some results are
obtained to ensure that the state estimator are consistent with the states of the estimated system in finite time and the time upper bound of fixed-time is estimated. Finally, a numerical simulation shows
the effectiveness of the given results.

Key words: Neural network, time delay, state estimation, fixed-time stability

[1]. Liao X, Chen J, Chen J. Image source identification with known post-processed based on convolutional neural network. Signal Processing: Image Communication, 2021, 99: 116438.
[2]. Yu C L, Pei H L. Face recognition framework based on effective computing and adversarial neural network and its implementation in machine vision for social robots. Computers & Electrical Engineering, 2021, 92(1): 107128.
[3]. Zhao B, Chen H, Gao D K, Xu L Z, Zhang Y Y. Cleaning decision model of MBR membrane based on Bandelet neural network optimized by improved Bat algorithm. Applied Soft Computing, 2020, 91: 106211.
[4]. Wu Y X, Huang R, Li X, Liu S. Adaptive neural network control of uncertain robotic manipulators with external disturbance and time-varying output constraints. Neurocomputing, 2019, 323: 108-116.
[5]. Zhang W, Qi J T, He X. Input-to-state stability of impulsive inertial memristive neural networks with time-varying delayed. Journal of the Franklin Institute, 2018, 355(17): 8971-8988