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157 articles for “Network Analysis”
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Evaluating Boiler Performance in Refinery Operations Using Thermodynamic Principles
Abstract: This work involves the evaluation of effect of boiler operating temperature and pressure on the performance of steam power plant, a case study of Port Harcourt Refining Company. Thermodynamic principles of the Rankine cycle as the ideal cycle for steam power plant analysis were applied in this study. Boiler operating pressures of 43bar and 61bars were used. The results obtained showed that there was improved performance of the plant when …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 4, Issue 2, 2018 · pp. 8–28 Read article
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Evaluation of Machine Learning and Deep Learning Models for Classification Tasks on Crime Data: A Comparative Study
Abstract: The classification of crime data has grown more and more important for public safety and law enforcement due to the increasing demand for precise and effective predictive models. To classify crime data, this study assesses and contrasts the effectiveness of several machine learning (ML) and deep learning (DL) models, such as decision trees, support vector machines, neural networks, and convolutional neural networks. The study evaluates the models' accuracy, efficiency, and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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General Health Check-up, Health Care Model using CNN and Internet-of-Medical Things
Abstract: Many people may believe that undergoing a comprehensive medical check-up is unnecessary when they feel perfectly healthy. However, this perception is mistaken. Regular health check-ups are essential to maintain overall well-being and to detect potential health issues early, enabling proactive steps to prevent them from worsening. Such check-ups are valuable for both individuals in good health and those with existing medical conditions, as they provide insight into the progress of …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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Trends and Techniques of Software Cost and Performance Measurement
Abstract: Software measurement is an evolving aspect of software engineering providing the necessary support to plan, execute, control, and improve the software development process. However, Software metrics constitute a set of acceptable variables of measurement encompassing diverse activities that require some level of quantification of which cost, and effort estimation are inclusive. This study was aimed at reviewing the various trends and techniques in software cost and performance measurement. The study …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article
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Methodology for Error Analysis and Localization in Web Application Testing
Abstract: This article introduces a structured and systematic approach to analyzing and localizing errors in modern web applications through an in-depth examination of logs collected at multiple system levels. The proposed methodology emphasizes a clear, step-by-step analysis strategy that guides developers and testers in identifying the source of application failures with greater precision and efficiency. It combines theoretical principles with practical recommendations, offering detailed guidance on how to handle different categories …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 40–50 Read article
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RIS-Assisted 6G Wireless Communication: BER, Security Gain and Multi-Metric Performance Analysis
Abstract: Reconfigurable Intelligent Surfaces (RISs) provide programmable control over wireless signal propagation and are emerging as a promising technology for enhancing the reliability, energy efficiency, coverage, and physical-layer security of sixth generation (6G) wireless networks. This paper presents a unified simulation-based performance evaluation of conventional SISO, 4G SIMO, and 6G multi-antenna communication systems, followed by an RIS-assisted reliability and security analysis under Rayleigh fading conditions. The simulation results demonstrate that antenna …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Descriptive Analysis of Throughput Variations for Bengali Broadband Users
Abstract: Broadband Internet user base is growing at an exponential pace in Bangladesh. The Internet service providers (ISPs) are bringing ever faster broadband service offering to market. The service expectations of aspiring users are outpacing the service offerings from ISPs. The market pressures are forcing ISPs to sell their service offerings more aggressively, resulting in a growing discrepancy between consumer expectations and service offerings from ISPs. This discrepancy is often evident …
Published in International Journal of Broadband Cellular Communication · Vol. 1, Issue 2, 2015 · pp. 23–27 Read article
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Multi-class Fault Diagnosis of Rolling Element Bearing Based on Empirical Mode Decomposition and Entropy Features
Abstract: Rolling element bearings are one of the most commonly used machine elements in engineering industry. Fault detection and diagnosis of rolling element bearings is essential for prevention of malfunction and failure during operation. The present work deals with rolling element bearing fault diagnosis by using Support Vector Machine (SVM) and Artificial Neural Network (ANN). Four types of bearing conditions are considered in the present analysis: inner race fault (IR), outer …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 01–10 Read article
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Prediction of Rainfall Using MLP and RBF Networks for Monsoon and Post-Monsoon Seasons of Pune and Mahabaleshwar Regions
Abstract: Prediction of rainfall for a river basin has utmost importance for planning of irrigation and drainage system as also for command area development. For example, analysis of consecutive days of rainfall is more relevant for drainage design of agricultural lands whereas analysis of weekly rainfall data is relevant for planning of cropping pattern. Likewise, analysis of monthly and seasonal data is more useful for water management practices. With the development …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 34–51 Read article
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DESIGN AND ANALYSIS OF WATER DISTRIBUTION SYSTEM FOR KOLOSHI VILLAGE USING EPANET 2.0
Abstract: The main objective of this project is to design the water distribution network of KOLOSHI VILLAGE, MURBAD, THANE, using EPANET software. In order to supply water to the consumers and fulfil the water demand of the village, it is essential to provide the sufficient and uniform quantity of water through the designed network of pipes. And we also have to check whether the water supplied to the consumers is in …
Published in International Journal of Urban Design · Vol. 4, Issue 1, 2021 · pp. 17–25 Read article
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A Study and Analysis Among Dijkstra’s Algorithm, Bellman–Ford Algorithm and Floyd’s Algorithm on Run-Time Basis Using Source Code
Abstract: Numerous applications like communication network and transportation use shortest path algorithm to notice the shortest path between two nodes. In the Single source shortest path algorithm, a shortest path is calculating from one node to another node. In the present paper, I have compared the results of the shortest path algorithms (Dijkstra, Bellman–Ford) on the basis of running time. I am using C# programming language to compare the algorithms. I …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 60–70 Read article
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Health Care System Analysis Using Different Datasets
Abstract: In this research work, we have discussed data science and various machine learning algorithms like KNN, Support Vector Machine, Artificial neural network, Random forest etc. and the results obtained from these algorithms which can be used for the prediction of heart disease, cancer and in many other fields of medical science. Requirement of data cleaning along with various methods of data cleaning are mentioned here, along with these various issues …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 29–37 Read article
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Diabetic Retinopathy Detection from Retinal Images Using Convolutional Neural Network
Abstract: Diabetic retinopathy (DR) is a popular problem of diabetes and the major reasons of loss of sight in the active inhabitants. Many of the problems of DR can be avoided by blood glucose manage and regular remedy. Since the kinds and the difficulties of DR, it is actually hard for DR detection in the time-consuming regular analysis. This document is to effort towards discovering an automated method to sort out …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 8–17 Read article
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A Sensor-Based Soil Monitoring System for Better Crop Harvesting
Abstract: Crop productivity is strongly affected by soil health, environmental conditions, and the availability of timely and accurate monitoring data. Traditional soil testing and crop assessment methods are labor-intensive and time-consuming. They also lack real-time capabilities, which limits efficient agricultural decision-making. This paper proposes an IoT-enabled smart soil monitoring and crop management system that provides real-time analysis of important soil and environmental parameters to improve agricultural productivity. The proposed system uses …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 18–24 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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Multi-Objective Optimization of Distributed Generator in the Transmission System
Abstract: This paper proposes a multi-objective optimization method to determine the optimal size allocation of four different types of distributed generators, that is, TYPE-1, TYPE-2, TYPE-3, and TYPE-4 in transmission networks. In one such optimization strategy, distributed generators are injected after the Newton–Raphson method, a popular power flow analysis tool, has been applied first. A power system’s steady-state operating conditions, including voltage magnitudes, phase angles, line flows, and power losses, can …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 9–18 Read article
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Multi-Objective Optimization of Distributed Generator in the Transmission System
Abstract: This paper proposes a multi-objective optimization method to determine the optimal size allocation of four different types of distributed generators, that is, TYPE-1, TYPE-2, TYPE-3, and TYPE-4 in transmission networks. In one such optimization strategy, distributed generators are injected after the Newton–Raphson method, a popular power flow analysis tool, has been applied first. A power system’s steady-state operating conditions, including voltage magnitudes, phase angles, line flows, and power losses, can …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 9–18 Read article
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Direction to Diagnosis by Artificial Neural Network
Abstract: ABSTRACT The diagnosis is presented by the Artificial Neural Network (ANN) in this paper. The method of diagnosis from the data over the ANN is discussed in this paper. The structure of ANN is classified by the coding and probability. Each neuron is set over the data for the diagnosis under the context of minimization of error and maximization of efficiency. Thus, the direction is presented over the mathematical analysis …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article