iosr-JEEE   Volume-18 ~ Issue-3 ~ May – June 2023

Abstract: Hybrid Renewable Energy Resource System (HRES) is made up of PV, Wind and Battery. PV and Wind inputs are irradiance and Wind in which energy is generated. The battery is used as an energy storage unit to store most of the energy produced and can be used to meet the need for load under critical and environmental conditions. Unified Power Quality Controller to reduce power quality related issues such as sag, swell, harmonics etc. in the HRES system connected mainly owing to the non-linear load condition. So this paper proposes a Lightning Search Algorithm (LSA) with Unified Power Quality controller (UPQC) to solve PQ problems in the HRES system. The results obtained specify that the proposed LSA algorithm has several advantages in various.......

Keywords: PV (Photovoltaic), Wind, battery, Power Quality (PQ), UPQC (Unified Power Quality Controller), Lightning Search Algorithm(LSA) Harris Hawks Optimizer (HHO), Grey Wolf Optimization (GWO), Modified Particle Swarm Optimization (PSO), THD (Total Harmonic Distortion).

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Abstract: Metal Oxide Semiconductor Field Effect Transistor (MOSFET) has been of crucial importance for the progress of nanoelectronics technology. Silicon on insulator (SOI), a new technology of MOSFET transistors, helps in miniaturization and decrease of short channel effects. A two dimension device simulation is performed to investigate the kink effect of partially depleted SOI MOSFET using Silvaco TCAD tools.This paper demonstrates a method for reducing the kink effect present in the current-voltage output characteristics of
partially depleted SOI MOSFET. In this method, the thickness of gate oxide for the device is reduced. Results obtained through simulations indicate that the proposed method, while still maintaining major advantages obtained by conventional SOI structure, can eliminate the kink effect.

Key Word: MOSFET, Silicon on Insulator, PD SOI, Silvaco TCAD, Kink Effect

[1]. F. Z. Rahou, A. Guen-Bouazza and M. Rahou, "Electrical characteristics comparison between fully-depleted SOI MOSFET and
partially-depleted SOI MOSFET using Silvaco software," Global Journal of Researches in Engineering Electrical and Electronics Engineering,13(1), 2013.
[2]. Y. Husaini,M.H. Ismail,A.S. Zoolfakar and N. Khairudin, "Electrical characteristics comparison between partially-depleted SOI and n-MOS devices investigation using Silvaco," IEEE 2010 IEEE Symposium on Industrial Electronics and Applications,pp.532-536, October 3-5, 2010.
[3]. N. Gupta, J.K.B. Patel and A.K.Raghav, "Performance and a new 2-D analytical modeling of a Dual-Halo Dual-Dielectric Triple-Material Surrounding-Gate-All-Around (DH-DD-TM-SGAA) MOSFET" ,Journal of Engineering Science and Technology, vol. 13(11), pp.3619-3631,Nov. 2018.
[4]. N.Gupta, J.K.B.Patel and A.K.Raghav,"An accurate 2D Analytical Model for Transconductance-to-Drain Current ratio (gm/Id) for a Dual-Halo Dual-Dielectric Triple-Material Cylindrical-Gate–All-Around (DH-DD-TM-CGAA) MOSFETs," International Journal of Engineering, vol. 31,no. 07,pp. 1038-1043,July 2018.
[5]. Y. Taur, "Analytic solutions of charge and capacitance in symmetric and asymmetric double-gate MOSFETs," IEEE Transactions on Electron Devices, vol. 48, no. 12, pp. 2861–2869, Dec. 2001..

Abstract: Offshore equipment and facilities, with the platform in focus, are some of the most capital intensive asset costing millions and/or billions of dollars to setup. The use of Ineffective security measures on offshore platforms can result in vulnerability of huge assets, internal and external threat oil production theft as regards to pipe line vandalism, gas leakage, rise in temperature, fire outbreak, etc. Since other traditional means of security such as watch by a human-being' have been found to be ineffective as the performance of the personnel on guard depends on his motivation, fatigue and concentration and skill level. This work aims at developing an automated electronic system tailored to effectively provide security and surveillance for equipment and facilities on offshore platforms against.....

Key Word: Motion, flame, smoke, temperature sensor and a Pi camera etc.

[1]. Al Abkal, S., Talas, R. H. A., Shaw, S., & Ellis, T. (2020). The application of unmanned aerial vehicles in managing port and border security in the US and Kuwait: Reflections on best practice for the UK. International Journal of Maritime Crime and Security, 1(1)
[2]. Amaziah Walter Otunyo (2011) "Design Of Offshore Concrete Gravity Platforms" Nigerian Journal Of Technology Vol. 30, No. 1.
March 2011.
[3]. Arfaoui, I., Boudriga, N., Trimeche, K., & Abdallah, W. (2017). "WSN-based Border Surveillance Systems Using Estimated Known Crossing Paths". MoMM2017.
[4]. Bhadwal, N., Madaan, V., Agrawal, P., Shukla, A., & Kakran, A. (2019). Smart Border Surveillance System using Wireless Sensor Network and Computer Vision. 2019 International Conference on Automation, Computational and Technology Management (ICACTM), 183-190
[5]. Tahmasib Fataliyev, Shakir Mehdiyev "Industry 4.0: The Oil and Gas Sector Security and Personal Data Protection" I.J. Engineering and Manufacturing, 2020, 2, 1-14..

Abstract: Active suspension systems are used to improve ride comfort, safety, and performance. The 1/2-vehicle model is a simplified mathematical model of a single suspension component that can be used to estimate the vehicle's response to any road disturbance. The 1/2-vehicle model provides engineers an efficient and reliable way to simulate a vehicle's response to road disturbances. The PD control algorithm reduces oscillations by using proportional and derivative terms of the suspension's dynamic equation. The Intelligent State Feedback Control comprises two parts: the proportional derivative (PD) components, which control the suspension forces at specific times, and an adaptation algorithm, which adjusts the PD parameters to reduce the oscillations and improve ride comfort........

[1]. Fernando, W., & Kumarawadu, S. (2012). Discrete-time neuroadaptive control using dynamic state feedback with application to vehicle motion control for intelligent vehicle highway systems. IET Control Theory & Applications, 4(8), 1465-
1477. https://doi.org/10.1049/iet-cta.2009.0144
[2]. Haishan Ding, & Jianqin Mao. (2016). Nonlinear state feedback controller design and stability analysis based on a discrete dynamic fuzzy model. 2006 6th World Congress on Intelligent Control and Automation. https://doi.org/10.1109/wcica.2006.1712522
[3]. Kachroo, P., & Ozbay, K. (2013). Feedback control design using the ode model. Feedback Ramp Metering in Intelligent Transportation Systems, 211-244. https://doi.org/10.1007/978-1-4419-8961-1_9
[4]. Kachroo, P., & Ozbay, K. (2013). Feedback control design using the distributed model. Feedback Ramp Metering in Intelligent Transportation Systems, 127-150. https://doi.org/10.1007/978-1-4419-8961-1_5
[5]. Li, K., Coombs, T., He, J., Tian, Y., Niu, Q., & Yang, Z. (2021). Recent advances in sustainable energy and intelligent systems: 7th International Conference on life system modeling and simulation, LSMS 2021 and 7th International Conference on intelligent computing for sustainable energy and environment, ICSEE 2021, Hangzhou, China, October 30 – November 1, 2021, proceedings, part II. Springer Nature.

Abstract: The use of mid-infrared fiber in the 2–12 μm spectral range has been widespread in a variety of application areas, including nonlinear optics, telecommunications, medical, and the military. Night vision, surveillance, and missile guidance are some of the military uses. Mid-infrared fiber lasers have advanced significantly over the past few decades thanks to advancements in pumping regimes, fiber components, and other associated technologies, and progressively caught up to or even surpassed classical lasers in some lasing performance. The confinement loss spectra of mid-infrared fiber spanning the wavelength range of 2μm to 12 μm were simulated and examined.......

KeyWords: Hollow-core Fiber (HCF), Negative Curvature HCF (NCHCF), TE Mode, TM Mode and HE Mode

[1] J. Mandon, G. Guelachvili, and N. Picqué, "Fourier transform spectroscopy with a laser frequency comb," Nat. Photonics, vol. 3, no. 2, pp. 99–102, 2009, doi: 10.1038/nphoton.2008.293.
[2] D. D. Hudson et al., "Toward all-fiber supercontinuum spanning the mid-infrared," Optica, vol. 4, no. 10, p. 1163, 2017, doi: 10.1364/optica.4.001163.
[3] S. D. Jackson, "Towards high-power mid-infrared emission from a fibre laser," Nat. Photonics, vol. 6, no. 7, pp. 423–431, 2012, doi: 10.1038/nphoton.2012.149.
[4] M. Ebrahim-Zadeh and I. T. Sorokina, "Mid-Infrared Coherent Sources and Applications: Preface," NATO Sci. Peace Secur. Ser. B Phys. Biophys., vol. 33, no. 11, p. 3224, 2008.
[5] Z. Qin et al., "Black phosphorus Q-switched and mode-locked mid-infrared Er:ZBLAN fiber laser at 35 μm wavelength," Opt. Express, vol. 26, no. 7, p. 8224, 2018, doi: 10.1364/oe.26.008224.

Abstract: Countries' competitiveness and economic growth are fuelled by innovation. Software isused in sustainable agriculture to provide farmers with data and assistance on crop rotation, harvesting details, and soil management. Sensors are used to measure the soil moisture and temperature. This contributes to the development of a model that assists farmers by providing crop-related information or crop recommendations based on various attributes such as crop details, soil composition, weather conditions that crop can grow in, temperature, soil PH, and rainfall. Machine learning algorithms applied are Linear Regression, Random Forest, Decision Tree. The.......

KeyWords: Crop Recommendation, Machine learning, Multiple linear regression, Random Forest, Decision tree.

[1]. "Machine Learning in Agriculture: Applications and Techniques" in sciforce blog for 2019.
[2]. P.Priya, U.Muthaiah. Balamurugan.Predicting the yield of the crop using a machine learning algorithm. International Journal of Engineering Science Research Technology.
[3]. https://www.kaggle.com/datasets/atharvaingle/crop-recommendation-dataset
[4]. R.Kavitha, M.Kavitha, R.Srinivasan Crop Recommendation in Precision Agriculture using Supervised Learning Algorithm.
[5]. SHILPA MANGESH PANDE, DR. PREM KUMAR RAMESH, ANMOL, B.R AISHWARYA, KARUNA ROHILLA, KUMAR SHAURYA, "Crop Recommender System Using Machine Learning Approach", IEEE Conference 2021..

Abstract: Since the generation of energy is very expensive, the conservation of energy is very important. It is possible to reduce the losses through the energy auditing which helps to find the performance of the whole electrical system. If there are any leakages they will be observed and fixed. The objective of this paper is to study the energy consumption of an educational building and the ways to reduce the consumption. The institutional building is taken considering the uncontrolled and unpredictable usage of light, fans and air conditioning facilities in number of classrooms, practical rooms, auditoriums and rooms with computer facilities. An Energy Analysis is an examination of energy consuming.....

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