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357 articles for “log data”
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Experimental Investigation on the Performance of Photovoltaic Panel with and Without Phase Change Material Heat Sink
Abstract: AbstractThe future of solar energy conversion into electricity is one of the recognized classes of technology seeing that abundance of a free and clean source of energy in almost every part of continents. The effect of exceeding in temperature on Photovoltaic (PV) cells remains one of the major disadvantages of this technology. In order to improve the power utilization of the PV panel, it is necessary to maintain cell temperature …
Published in Journal of Thermal Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 15–23 Read article
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Cold Light Source for Endoscopy using AVR Microcontroller
Abstract: An endoscopy involves the procedure of examining internal organs of the human body using endoscope. Presently, during endoscopy halogentype or xenon type light sources are used. The main drawback of these sources is the heat dissipated by them effects the sensor data. Due to high temperature in the surrounding environment, the video tube or optical fiber used to transfer data may be damaged. Moreover if the lamp turns off during …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 1, 2014 · pp. 5–10 Read article
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Probability of Liquefaction induced Ground Failure under the Earthquake Scenario in Kathmandu Valley
Abstract: Kathmandu valley is highly susceptible to liquefaction hazard due to the presence of liquefiable soil up to considerable depth, the presence of shallow ground water table and occurrence of earthquakes at regular intervals. Past studies have also shown the occurrence of liquefaction with examples of observed ejection of sand boil and formation of cracks throughout the valley during 1934 Nepal-Bihar earthquake. Events similar to these were also observed during recent …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 2, 2019 · pp. 27–38 Read article
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LabView Based Control System Design for Water Tank Heater System
Abstract: This paper presents the control system design for water tank heater system (WTHS) with the help of LabVIEW and Arduino UNO R3 based Atmega328 microcontroller to regulate the temperature of water inside the water tank heater system to a certain reference value. In the process control system, the accurate measurement of the temperature is not an easy task. The aim of this work is to develop a low-cost and flexible …
Published in Trends in Electrical Engineering · Vol. 7, Issue 3, 2017 · pp. 31–40 Read article
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Design of Solar and Wind Power Generation System
Abstract: AbstractIn current year’s generation of electricity victimization, the various kinds of renewable sources square measure specifically evaluated within the economic performance of the overall instrumentality. Solar power and wind power have received considerable attention worldwide. The bestowed methodology is applied to gauge the potential of Solar (photovoltaic) –wind hybrid system to provide electricity for a community and different state. It has helped in reducing pollution and thereby overcoming global warming. …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 3, 2018 · pp. 8–16 Read article
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IoT and Node MCU based Smart Logistics
Abstract: Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 38–50 Read article
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Online Event Management System Event Buffer Using PHP
Abstract: Events buffer is online event management system software that serves the functionality of an event manager. The system allows users to browse events and information about the event like venue, time, logistics etc. The system helps in management of events and the aspects related to them. The project includes the majority of the basic features needed for an event, such as communication, skill training, and arguments.The system then allows the …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 1, 2022 · pp. 26–35 Read article
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Optimized Residual Neural Network for Audio Spoof Detection in Speaker Verification Systems
Abstract: The Automatic speaker verification system is a type of biometric technology that utilizes speech to determine if a person is an authentic user or not. Unfortunately, such systems can be susceptible to audio-spoofing attacks. The proposed work deals with this problem of Audio Spoofing by employing Residual Networks to determine if a voice signal is bonafide or not. A comparative study of Mel-frequency Cepstral coefficients (MFCC), Constant Q Cepstral Coefficients …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 19–32 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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PLC & SCADA-based Automation in Boiler Systems Enhancing Energy Efficiency: A Review
Abstract: Data acquisition and supervisory management system utilizing a programmable logic controller. PLC, SCADA, and sensors are used in the design and development of a boiler automation system. Using communication wires, the PLC and SCADA were connected. The paper's introductory section focuses on supplying the boiler with inputs at the necessary temperature to consistently maintain a specific boiler temperature. the numerous steps needed to transition from a traditionally controlled boiler to …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 20–25 Read article
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Wastewater management in developed and developing countries
Abstract: Water is essential for humans and every other living being on earth. Everyone needs to use water efficiently by reducing and reusing methods. Managing wastewater in developed and developing countries is one of the methods. Wastewater management had importance in history as ancient Rome had a drainage system in which surface conduits were to the Tiber River. In the 19th-century, wastewater threw out of the cities with the help of …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 2, 2021 · pp. 13–24 Read article
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Performance Study for Optical Half Subtractor Based on SOA
Abstract: AbstractThis article explores for an optical binary half subtractor design which is based on the semiconductor optical amplifiers nonlinear characteristics. For that, the difference output operation of data’s has been realized in the one branch with semiconductor optical amplifier realizing XOR operation and for borrow operation the AND logic operation of the data B with complaint of data A is realized in the other semiconductor optical amplifier branch. Accordingly the …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 3, 2015 · pp. 50–57 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Twitter Emoticon Interpretation Using Machine Learning Algorithms in Sentiment Analysis
Abstract: In the current era, thousands of people share their opinions every day on the well-known microblogging platform Twitter in the form of tweets. A tweet must be brief and straightforward in order to be effective, though sentiment analysis of Twitter data will be the main emphasis of this study. Sentiment analysis study encompasses NLP and text data mining. We will conduct sentiment analysis on Twitter data using several logistic machine …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Data Privacy in AI: Securing the Sensitive Information Through Homomorphic Encryption
Abstract: Artificial intelligence (AI) technology increasingly relies on sensitive user data, particularly finance and healthcare. While legacy encryption technologies safeguard data in transit and at rest, they are of no use when data must be decrypted to be processed. This is a bleak privacy threat, particularly in AI applications that call for constant processing of data. The objective of this study is to apply homomorphic encryption, a feature in which operations …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 25–30 Read article
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Sentiment Analysis of X (Formerly Twitter) Using Machine Learning
Abstract: Sentiment analysis is a methodology to determine the nature and behavior of each and every user for the content posted on the social media platform in the form of post and feed. Consumers of the online platform are encouraged to post reviews of the product that they purchase. Little attempt is created by Amazon to confine or limit the content of these reviews. The number of reviews for various merchandise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 28–37 Read article
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Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback
Abstract: This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients' needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item's nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 59–83 Read article