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1128 articles for “Modelling”
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Artificial Intelligence Based Twitter Sentiment Estimation
Abstract: Twitter is platform which provide services like micro blogging in which user have to write the thought in less than 140 words. The objective of tweet sentiment analysis is to view as the positive, negative,or impartial, happy, sad, satisfied, and other emotional sentiment part in the twitter information. Sentiment analysis can assist any association with tracking down individuals' assessments of theirorganization and items. Twitter is increasing their services at an …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article
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Performance Comparison of Handwritten Digit Recognition Using Machine Learning Techniques
Abstract: Handwritten pattern, character and digit recognition has always been the most demanding and interesting fields of image processing. The objective of this work is representing and demonstrating the algorithms which are used to recognize handwritten digits. Recognition of handwritten digits has always a bit complex, but it is mostly used in various day-to-day applications. In the task of recognition, the digits are not correctly or accurately scripted or written as …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 1, 2021 · pp. 9–18 Read article
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Optimal Location of Static Var Compensator Using DE Algorithm
Abstract: This paper discusses on the optimal location of Static Var Compensator (SVC) using Differential evolution (DE) algorithm. FACTS devices are employed to improve the power transfer capability and voltage profile in power system networks. Here, the optimal location to place an SVC is identified depending on the power flow, voltage profile and transmission losses. The ability of SVC to improve voltage profile and reduce losses is also analysed. SVC is …
Published in International Journal of Electrical Power System and Technology · Vol. 2, Issue 2, 2016 · pp. 1–8 Read article
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Power Quality Enhancement in 3P4W Electrical Distribution System by using DCMLI-DSTATCOM-TIES with Reliability Study
Abstract: The Quality of the output power from the utilities has become a serious concern of the trendy industries. These power quality associated issues area unit voltage sag, surge, flicker, voltage imbalance, interruptions and harmonic issues. These power quality issues might cause issues to the industries starting from haywire of kit to finish plant close up. It’s been known that power quality will be degraded each owing to utility aspect abnormalities …
Published in International Journal of Electrical Power System and Technology · Vol. 3, Issue 1, 2017 · pp. 16–33 Read article
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Prediction of Adsorption Energies using Machine Learning
Abstract: In this article, we have a much more comprehensive method that promotes the exploration of automated descriptors. Primary component analysis (PCA) with varimax rotation is used to find the strongest minimum range of adsorption energies that can be used as metal descriptors for a given data set. Our findings demonstrate that the mixture of descriptors produced by this method outperforms conventional descriptors such as nuclear carbon, hydrogen and oxygen adsorption …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 2, 2020 · pp. 38–46 Read article
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E-STATCOM for Improving Power System Damping Profile
Abstract: This work shows the performance improvement of a power system using STATCOM interfaced with an energy storage device (E-STATCOM). The storage device considered in this article is a supercapacitor. The STATCOM draws or supplies reactive power to the system while the supercapacitor caters for real power need. A multimachine power system model has been developed incorporating the STATCOM and supercapacitor dynamics. E-STATCOM has been considered to have been installed in …
Published in International Journal of Electrical Power System and Technology · Vol. 7, Issue 2, 2021 · pp. 1–7 Read article
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A Novel Honey Badger Optimization MPPT Control for a High Gain Non-Isolated DC–DC Converter for PV Applications
Abstract: The Pulse-width modulation (PWM), a technique used by DC-DC power converters, is currently a hot topic in a variety of applications, including those utilising renewable energy sources. Thus, A novel, The development of a very effective non-isolated converter. To extract the maximum PV system power. In varying weather conditions, maximum power is used to control PV system loading. The maximum power of a PV system is controlled using a fractional …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 1, 2023 · pp. 38–50 Read article
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Performance study of Perovskite (CH3NH3PbX3, X=I, Br,Cl) Solar Cell using Copper Thiocyanate (CuSCN) as Hole Transport Layer
Abstract: Using perovskite compounds such as "methyl ammonium lead halide (MAPbX3, MA= CH3NH3, X=I, Br, Cl)" and SCAPS tools, researchers conducted a thorough modelling and numerical simulation of perovskite solar cells. They also measured metrics such as "open-circuit voltage (Voc), fill factor (FF), power conversion efficiency (PCE), and short-circuit current density (Jsc) of the MAPbI3, MAPbBr3, and MAPbCl3 material used as active layer, respectively." As the hole transport layer (HTL) in …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 2, 2023 Read article
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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Crime Rate Prediction System Using Machine Learning.
Abstract: Crime rate prediction is an important research area that helps law enforcement agencies to take proactive measures to prevent crime. The proposed model uses a combination of historical crime data to predict crime rates.The proposed model uses a supervised learning approach where the crime rate is predicted based on a set of input features. The input features include historical factors such as area, year, crime type. This paper presents various …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 18–27 Read article
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Analyzing Crowds with Deep Learning: A Review of Methods and Challenges
Abstract: With the growing population, the need for an effective crowd management tool emerged. It is important to monitor and analyze unusual crowd movements and behavior for many applications such as peaceful events, protests, gatherings, or traffic management. Current systems, such as video surveillance, are a useful technique for crowd monitoring, but they require human visual capabilities to monitor the crowd. This work is a paper on Crowd Analysis using convolution …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 30–42 Read article
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Hybrid Pi-Fuzzy speed controller for interior permanent magnet Synchronous Motor
Abstract: Interior Permanent Magnet Synchronous Motors (IPMSM’s) are used for fast torque response and for better performance of the machine. IPMSM's are used in low and mid power applications such as computer peripheral equipments, robotics, adjustable speed drives and electric vehicles and in servo applications. In this paper, a simulation model has been developed for speed control and improvement in the performance of a closed loop vector controlled IPMSM drive which …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 3, Issue 1, 2017 · pp. 37–53 Read article
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Lie Detector for Loyalty Test Using Biomedical Device
Abstract: This paper describes the real time working of a Simulink based blood pressure and body temperature monitoring system based on ATMEGA 328 (Arduino uno). The major monitoring system in use give the output on a liquid crystal display, even if it is a digital circuit, it is prone to noise and distortions. So, we are using a new technique to make this health monitoring system more accurate. We are adding …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 1, 2022 · pp. 8–13 Read article
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Design, Fabrication and Analyses of Rectangular Microstrip Inset Feed Patch Antenna at 2.4 GHz
Abstract: Low profile antenna supports the activity of numerous modernized communication systems. Microstrip patch antenna represents a group of antenna which offers the capability of complete assimilation with communication system printed circuitry. We have been devised, fabricated a rectangular microstrip patch antenna and analyzed at the frequency of 2.4 GHz. By means of transmission line model it has been effectively demonstrated as to how the patch antenna can accurately modelled and …
Published in International Journal of Microwave Engineering and Technology · Vol. 4, Issue 2, 2018 · pp. 19–26 Read article
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Genetic Algorithm approach for the Position Control of Permanent Magnetic Synchronous Machine
Abstract: Permanent Magnetic Synchronous Motors (PMSM or Brushless DC Motor) are widely being used for many industrial applications because of their high efficiency, high torque and low volume. Research has conducted using genetic algorithm to develop a complete model of the BLDC motor and to design an optimal controller for its position control. Generally PID controller is being used for control purposes in many systems because of its simple structure and …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 30–39 Read article
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Transient Analysis of self excited Induction generator with ELC
Abstract: — Fast depletion of fossil fuels has drawn attention towards the use of nonconventional energy sources like wind, biomass, tidal/wave, and small hydro potential. In remote locations, harnessing of electrical energy from such local resources can be cheaper and easier compared to grid connection, which involves long transmission lines and associated losses. A micro-hydro system using natural hydro potential with minimal civil works is a strong candidate in this race. …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 2, 2016 · pp. 13–18 Read article
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Multicore Processing of the Aeroderivative Twin-Shaft Gas Turbine Engine with AC Powered Power Converter
Abstract: This study provided a method for the use of an automatic transmission to imitate the steady-state and intermittent shaft power features of the aeroderived twin-shaft turbine engine. Model-based regulation provides the foundation for the development of an aeroderived twin-shaft engine emulation system. Specifications are developed to help describe the engine and variable-speed movement, focused on torque, power and momentum. This method reflects the difference in friction between the engine and …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 6, Issue 2, 2020 · pp. 18–24 Read article
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IrrigaNet: Bridging IoT and Farming for Realtime Smart Irrigation Control
Abstract: In recent times, IoT has emerged as a crucial technology in the 21st century, seamlessly integrating into various facets of our daily lives. Its rapid expansion is evident across sectors such as healthcare, finance, and agriculture, permeating every aspect of our reality. Green IoT is a very hot topic in the present scenario. In our research paper we are using IoT to implement a smart irrigation system. The dam is …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 9, Issue 1, 2023 · pp. 8–12 Read article
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Wireless Sensor Network: the Challenges of Design and Programmability
Abstract: Wireless sensor network is a group of the smart sensors, each capable of sensing, processing and communicating, but when deployed in the numbers, form a network which collectively monitor the state of physical world. Its applications and potential benefits are tremendous and seem only limited by the imagination. As any technology at its infancy stage, there are plenty of the challenges and obstacles lying ahead. The interdisciplinary nature makes design …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 3, Issue 1, 2017 · pp. 23–34 Read article
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A Novel Method of Rice Disease Detection Based on Deep Learning
Abstract: India's main food crop is rice. Agriculture accounts for 70% of the Indian economy, yet pests and illnesses cause 37% of the production of rice to be lost. The early detection of rice diseases will prevent huge economic loss for the farmer and the proper care can assist farmers to protect their rice crops from various crop diseases. Manual illness diagnosis is a time-consuming and complex technique. Deep learning techniques …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 10–17 Read article