Search
1122 articles for “prediction system”
-
Active and Passive Automotive Safety: A Technical Review
Abstract: Safety of an automobile is one of the important areas while designing a vehicle. This paper gives an overall view of the different safety features that are taken care of while designing a vehicle. Available technologies of different active and passive safety features were analyzed. These technical features once incorporated in design not only help in avoiding the accidents but also reduce the fatigue caused to the driver which further …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 10–19 Read article
-
Modeling and Acoustic Analysis of Noise Vibration in Automotive Gearbox by Non-destructive Testing
Abstract: A gearbox is used for transferring power from the engine to the wheels. Predicting the vibration and noise radiation from a dynamic system like a gearbox gives designers an insight early in the design process. It was conducted experimental and modeling of vibration and noise for magnitude and pressure level variations in a Peugeot 206 automotive 5-speed gearbox. It was extract vibration data related to different periodic processing and then …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 3, 2020 · pp. 54–63 Read article
-
Simulation Based Performance Analysis of Wired Computer Networks
Abstract: Abstract Simulation is the process of accessing the real-world scenario in a virtual way. The purpose of simulation modeling is to ease the understanding of real working situations, to surge its behavior and its reactions during particular events. It is the application of computational models to the study and prediction of physical events or the behavior of engineered systems. Selection of a particular network simulator involves factors like availability of …
Published in Journal of Communication Engineering & Systems · Vol. 1, Issue 1-3, 2011 · pp. 60–66 Read article
-
Data Mining in Education to Predict University Performance of the Student
Abstract: Data Mining is the process of extracting hidden information from large collection of database or data warehouse. In education data mining association rules mining is used to predict the performance of the students based on their academic behaviour.Keywords: Education, data mining, association ruleCite this ArticleB. Jayanthy. Data Mining in Education to Predict University Performance of the Student. Journal of Operating Systems Development & Trends. 2016; 3(1): 31–33p.
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 31–33 Read article
-
THERMAL DISSIPATION SYSTEM APPLIED TO LED DEVICES
Abstract: A thermal dissipation system, based on an aluminum case LED lamp system encapsulated in a PCM device, has been used to reduce LED device temperature, improving thermal performance of the LED unit. Three heating rates have been tested, low (0.6ºC/s), medium (1.3ºC/s) and high (1.8ºC/s). The system has been tested in an experimental prototype at reduced scale, showing a maximum reduction of temperature from 177.5º C to 56º C for …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 1–18 Read article
-
Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
-
Hidden Markov Model (HMM) Statistical Model and Learning from Data Concepts Context-Aware Framework: A Basic Design in Accelerometer Based Smartphones
Abstract: This paper proposes a novel system focused on the Secret Markov Model (HMM) mathematical model and the analysis of data concepts. The architecture either considers or predicts device specific inferences named 'device states' for potential context-conscious implementations. Context-aware systems involve continuous data collection and analysis from one or more sensor readings. The battery life of the unit must also be increased due to the reality that the continually operating built-in …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 34–41 Read article
-
Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data
Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article
-
The Survey on the Methods of Data Analysis and its Effectiveness under the Perspective of Student’s Academic Performance: From Classical to Current
Abstract: Abstract: This study presents a survey on the methods of data analysis applied for studying the academic performance of the students. Those researches are surveyed in this study whose results carried with the following objectives: to predict the data about the next event, to set the plan on the next experiment, to design the system of the next evaluation, to decide the trend of the further draft, to establish the …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 21–26 Read article
-
Dielectric Breakdown and Electrical Aging of Insulating Polymer Materials in High Voltage Systems
Abstract: In this paper, a detailed analysis of dielectric breakdown and electrical aging behavior of high-voltage insulating polymer material has been proposed through sophisticated MATLAB simulation. The research involves electric field modeling, aging life prediction, partial discharge (PD) behavior and uncertainty modeling using Monte Carlo analysis. Electric field hotspots causing critical behavior, sensitivity of the lifespan to electric stress, and the stochastic PD build-up allow predictive diagnostics of the health of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 173–187 Read article
-
Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture
Abstract: Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture" explores the convergence of cutting-edge technologies in revolutionizing traditional farming practices towards sustainability. This study investigates the integration of Internet of Things (IoT), Artificial Intelligence (AI), and Image Processing techniques in agricultural contexts, aiming to enhance efficiency, productivity, and environmental stewardship. Through a comprehensive review of recent advancements and case studies, this research elucidates the transformative potential of IoT-enabled …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 52–69 Read article
-
Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
Role of Artificial Intelligence in Health Care Decision Making: Balancing Innovation and Caution
Abstract: Healthcare is undergoing a transformation powered by artificial intelligence, which improves monitoring, diagnosis, and treatment capabilities. Among Artificial Intelligence (AI's) shortcomings is the dearth of an emotional relationship between individuals and medical personnel. Robotic surgery procedures pose the possibility of malfunctioning machinery and mistaken assumptions. So, the present systematic review focused on exploring the boon and bane of the role of AI in predicting various abnormalities in advance to improve …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 24–35 Read article
-
Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
-
Machine Learning Techniques Based on Sentiment Analysis for Drug Recommendation System
Abstract: A recommended system can help the user make sense of complex information and make well-considered choices. User-generated material is conveyed in human language in various nuanced ways, making it difficult to provide recommendations based on a study of attitudes. However, there has been a shortage of research devoted to health and medical concerns compared to more mainstream areas like product and media critiques and dining-out recommendations. Sentiment analysis (SA) of …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 83–94 Read article
-
Prediction of Depth-Induced Stress Distribution and Maintenance Cost Implications for Submerged Structural Components
Abstract: This study investigates the influence of water depth on stress distribution and structural integrity of submerged mechanical components . Structural models fabricated from mild steel, stainless steel, carbon steel, and copper alloy were examined under hydrostatic loading corresponding to water depths between 30 cm and 150 cm. Results indicate that normal and shear stresses increased proportionally with depth due to intensified hydrostatic pressure. Mild steel exhibited the highest stress concentrations, …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 29–35 Read article
-
Inclusion Removal Study in a Integrated Tundish-Nozzle-Mold System by CFD
Abstract: CFD modelling is a powerful tool to study the complex flow phenomena happening in each step of the continuous casting process; considering this, the current research shows the impact of tundish turbulent phenomena on fluid dynamics and steel cleanliness considering an integrated system: tundish, nozzle, and mold. The mathematical simulations consider 3D cartesian coordinates for the continuity and Navier-Stokes equations together with the turbulent realizable and the multiphase VOF models. …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 2, 2022 · pp. 1–14 Read article
-
A study on IoT and AI for Predictive Modeling and Control of Infectious Disease Transmission
Abstract: Background: The global response to novel and recurring infectious diseases is frequently hindered by surveillance systems that are slow, siloed, and reactive. Traditional epidemiology relies on retrospective analysis of clinical reports, often missing the critical early phase of autocatalytic spread. The urgency of modern public health necessitates a shift toward real-time, predictive intelligence. Methods: This study investigates the development and deployment of a synergistic paradigm integrating the Internet of Things …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
-
Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1258–1284 Read article
-
Enhancement of Horizontal Jet Impingement Heat Transfer Analysis on Vertical Flat Plate
Abstract: This research investigates the heat transfer characteristics and heat flux distribution associated with parallel jet impingement on a vertical flat plate. A comprehensive computational fluid dynamics (CFD) analysis is carried out and systematically validated against available experimental data to ensure the accuracy and reliability of the numerical model. The jet length is maintained constant at 12 mm, while the jet-to-plate separation distance is varied at 6, 12, 18, and 24 …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 65–80 Read article