Search
1266 articles for “system identification”
-
Incorporating Industrial Safety Management into Civil Engineering Works for Health and Environment
Abstract: Industrial safety management is an important tool for protecting workers, assets, and environment because it involves risk assessment, hazard control, emergency preparedness and other important practices that can enhance civil engineering construction. Civil engineering projects such as roads, bridges, dams, and water supply systems present complex occupational and environmental risks, from physical accidents on-site to ecological degradation. This paper critically examines the integration of industrial safety and management strategies into …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 25–41 Read article
-
Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
-
Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
-
GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
-
Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
-
Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
-
WEBSITE FOR OM SAI TYRES AND AUTO-SERVICES
Abstract: In today's fast-paced world, people are always looking for ways to simplify their lives, reduce physical work, and maximize convenience. This project aims to automate the overall process for the owner of the garage, mechanic, and the user by identifying the various factors that affect the servicing and maintenance process of automobiles. By doing so, the project seeks to speed up the time required for these processes.The idea behind the …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 11–18 Read article
-
A Research Study on Navigating Medication Risks Through MFRS (Medication Fall Risk Score and Evaluation Tool) and DART (Drug Associated Risk Tool) Among Patients with Polypharmacy
Abstract: Background information: The advancements in medical science continue, but the safety of medication usage is still a question mark and has become a crucial area for researchers to focus on. In the need of the above, various scoring systems and tools have been developed in pharmacy practice research. Prior to the present work, we did a systematic review and meta-analysis and identified two such tools: the medication fall risk score …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 1–13 Read article
-
Leak Location Detection in Underground Pipeline Using Transient Pollutant Propagation Concentration Signature Analysis with Theory of Hypernumbers
Abstract: The paper introduces a new analytical method of detecting leakage locations in underground pipe systems. For the first time, the phenomenon of pollutant backflush through leaks in liquid transport systems is used for algorithmic leak location identification. The paper compares the proposed concept with known monitoring methods. The theoretical analysis of the method's capability to increase leak localization distance and detect the location of tiny holes in pipelines is provided. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 13–22 Read article
-
Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
-
Library Science Education in India: Evolution, Emerging Trends, and Challenges
Abstract: Library and Information Science (LIS) education in India has undergone significant transformation over the past century, evolving from traditional library training to a dynamic academic discipline shaped by technological advancements and changing information needs. This study examines the origin, development, and current status of LIS education in India, with particular emphasis on its evolution in the contemporary digital environment. The research adopts a qualitative and exploratory approach and is based …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 75–87 Read article
-
A Review Paper on Fire Detection
Abstract: Fire is a common disastrous phenomenon that causes a serious threat to life and property. In order to protect life and property, a good fire detection system is necessary. However, the major concern with existing fire detection system design is about false alarm problem. In the present review, a fire detection system with reduced false alarm rates are identified and still the best method is suggested. Based from current literature …
Published in Journal of Industrial Safety Engineering · Vol. 1, Issue 3, 2014 · pp. 1–5 Read article
-
Pressure Data Analysis and Reservoir Parameter Estimation of Kailastilla Gas Field (Well No. KTL-01 and KTL-02)
Abstract: Well testing has been the subject of research for many decades. Well tests are performed in order to estimate reservoir properties. These estimations are needed to predict the amount of oil or gas that can be produced, and to determine a strategy how to produce this predicted amount. The current method to estimate the reservoir properties seems cumbersome and inefficient. Also, uncertainty regions of the estimated properties are not yet …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 92–102 Read article
-
Detection System for Driver Somnolence
Abstract: Driver fatigue detection may be a vehicle device that aids in preventing accidents brought on by drowsy driving. numerous studies have schooled that around simple fraction of all road accidents a fatigue-related, up to one-half on bound roads. Many of these devices track driver behavior and can detect when a driver starts to feel sleepy. In the field of accident avoidance systems, the development of technology for the identification or …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 20–25 Read article
-
Water purifier with quality checks
Abstract: Water as a resource is the most significant aspect of living organisms. Use of fresh water has been growing rapidly considering the growth of population. Fresh water demand is a never-ending concept across the globe. In the world, domestic, industrial, and building activities are constantly the cause of water pollution. River pollution can disrupt the water supply, which eventually has an impact on domestic and commercial operations. Thus, to identify …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 2, 2023 · pp. 19–25 Read article
-
A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems
Abstract: The integration of serverless computing models in e-healthcare systems represents a paradigm shift in healthcare technology infrastructure. This meta-analysis examines the role, benefits, and challenges of serverless architectures in modern healthcare applications, focusing on studies published between 2019 and 2025. Serverless computing offers unprecedented scalability, cost-efficiency, and operational flexibility, making it particularly suited for healthcare applications handling variable workloads such as medical imaging processing, real-time patient monitoring, and electronic health …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 49–58 Read article
-
Adaptive Linear Gabor Response Pattern for Palm-print Recognition
Abstract: The advancement of the information society has increased the demand for secure identity systems in a wide range of applications, including financial transactions, forensics, border control, computer security, and law enforcement. Biometrics is an alternative method for accurate and trustworthy authentication in a highly networked society. It is the science of using behavioural (gait, keystroke, signature, etc.) and physiological (face, ear, finger, palmprint, DNA etc.) attributes to validate an individual's …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 1–12 Read article
-
Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
-
Design of Multifunction Stethoscope with Auto Gastrointestinal Wriggle Detector
Abstract: As the acoustic stethoscopes can't compete with the magnified sound quality so the digital stethoscopes provides even better identification of conditions. The objective of this work is to design a digital stethoscope with multifunction modes, which provides sound analysis for different body signals acquired from heart, lungs and abdomen. Using this system a doctor can not only analyze the sounds but also identify the gastrointestinal wriggling occurrence in the human …
Published in Journal of Electronic Design Technology · Vol. 4, Issue 2, 2013 · pp. 7–12 Read article
-
Identification of Safest Path using Spatial Analysis
Abstract: Safety is of critical importance to an individual while travelling. The goal of this project is to provide an effective solution to the masses to ensure their safety when travelling from one place to another. The proposed system is developed by building a robust model by using police FIR data and crime news articles scraped from the web. Techniques from Natural Language Processing(NLP) have been used to convert the unstructured …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 17–24 Read article