Search
488 articles for “Continuous time system”
-
Linear Programming based Model for Design of Looped Water Distribution Networks with Redundancy
Abstract: A new linear programming based two-phased methodology is suggested for design of looped water distribution networks with redundancy. The redundancy is provided against failure of pipes and a network is designed to sustain failure of any one of the link without affecting nodal supplies in a part or full. In the first phase, network is designed under normal pipe working conditions for assumed flow distribution using linear programming. The performance …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 1–10 Read article
-
Hierarchical Methodology Approach to SOC Design: A Comprehensive Look
Abstract: The design scale of a chip has increased many folds in the last few years and shows a continuous exponential trend. This is made possible by the reduction in transistor size and an evolving process technology. As a result, it is possible to move to SoC technology (System on Chip-A single die consisting of multiple subsystems) rather than a traditional ASIC. This has obviously resulted in an increase in the …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 3, 2020 · pp. 35–42 Read article
-
Design and Development of Multifunctional Stretcher
Abstract: Hospital stretchers and wheelchairs are integrated in this piece. Instead of using the chair and stretcher individually, the suggested stretcher can be utilized for multiple purposes. Patients' mobility issues can be greatly reduced by this arrangement. There is a challenge in the ICU moving seriously damaged or fractured patients from stretcher to wheelchair. This product is capable of addressing such situations. One more advantage of the proposed design to conduct …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
-
Failure of Municipal Councils in its Role of Implementation of Development Plan Roads: A Case Study
Abstract: A Town/city growth is dynamic and a continuous process. Due to rapid growth of town and consequent urbanization, town face multifarious physio-socio- economic and infrastructural problem. Municipal towns are not bar to these phenomena. Convenient, attractive and safe roads are an essential requirement of a town. It is the duty of municipal council to ensure that while preparing cities’ development plan, people are provided with means of transport of optimum …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 21–34 Read article
-
Structural Health Monitoring of Steel Bridge Model using Sensor
Abstract: The structure needs to be monitored after periodic time in its service life. SHM refers to be theprocess of implementing a damage detection and characterization strategy for engineeringstructures. This helps to lead a cost-effective management and can also help to increase theservice life of the structure. Civil engineering structures pose certain challenges whilemonitoring due to its large dimensions and different types of materials. The structural healthmonitoring is a term increasingly …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 14–18 Read article
-
Intelligent Biocomposites for Real-Time Health Monitoring Applications
Abstract: Intelligible biocomposites are emerging as an enhanced material in the sense that they provide the capability to monitor health in real time because they have the inbuilt sensing and adjusting features. In this paper, the concepts of the intelligent biocomposites that have the ability to capture both mechanical and biochemical cues are to be presented as an informatics of designing, fabricating, and modeling. Multiphysics is used to couple mechanical deformation …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Ethical Considerations in AI Design and Deployment
Abstract: The rapid development of artificial intelligence (AI) technology has brought with it many opportunities in various fields such as healthcare, finance, transportation, and education. But alongside these benefits, there are also important ethical issues that need to be resolved to ensure that AI systems are designed and deployed responsibly. This article explores the importance of ethics for artificial intelligence, focusing on issues such as impartiality, transparency, accountability, privacy, and interference …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 28–38 Read article
-
Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
-
A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
-
Improving Cycle Time Using Value Stream Mapping in Foundry
Abstract: As competition between manufacturing industries tightens every day, there is need for continual improvement of process to increase productivity. Thus, there is urgency to improve the productivity of firms to sustain in global competitive market. There are wide ranges of opportunities in which one can enhance satisfaction growth of the firm. Reducing lead time by eliminating waste and thereby improving cycle time of a process is one of the areas …
Published in Journal of Production Research & Management · Vol. 4, Issue 1, 2014 · pp. 22–32 Read article
-
Autonomous Military Robot with Short Range Radar and Guidance System
Abstract: AbstractThis paper proposes a completely wireless-based navigation system for high-speed navigation for unmanned ground vehicles (UGVs) on the varied landscape. This paper presents huge, precisely adjusted and time-synchronized datasets, accumulated outside, in controlled natural conditions, utilizing an automated ground vehicle e(UGV), furnished with a wide assortment of sensors to gauge the dynamic field. The hardware circuit is created in the "short separation radar" of the UGV way shape and longitudinal …
Published in Journal of Microelectronics and Solid State Devices · Vol. 7, Issue 2, 2020 · pp. 4–8 Read article
-
Monitoring the Effectiveness of Water-Based Plants for the Inhibition of Metal
Abstract: The temperature performance profile of the plant extracts shows that inhibition efficiency increased with increasing temperature of the system until at about 323K at 9.00hrs immersion time where a decline in inhibition efficiency occurred implying the opposite at higher temperatures and longer immersion time. Corrosion rate parameters changed with rise in temperature and exposure – immersion time. Plots of rates of corrosion against the volume(s) of the test inhibitor(s) in …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 37–46 Read article
-
Issues and Challenges for Computing in Embedded System
Abstract: The reliability of any software system is very important for us. As we continue the process of error detection and error correction on the software system, the reliability of the software keeps on increasing. So, for modeling this growth in the reliability of any system, many formulations in the form of Software Reliability Growth Models has been proposed. Among these approaches, maximum approaches are based on NHPP. In this paper, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 2, 2018 · pp. 18–21 Read article
-
AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
-
ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
-
Advanced GIS Approach to Design of 24×7 Water Distribution Network Using WaterGEMS V8i Software
Abstract: Safe and adequate drinking water plays vital for sustaining the quality of life in urban areas. There is a significance of proper management of water supply and its usage in this modernworld and industrialization. It is necessity of time that to replace the traditional and obsolete methods of surveying, planning, designing and analyzing the water distribution networks with accurate, speedy and computer-based software’s and methods. Application of WaterGEMS V8i software …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 3, 2020 · pp. 38–45 Read article
-
Detection of VOCs in Enclosed Space Using a Sensor Array
Abstract: In an era where rapid industrialization and urbanization continue to shape our environment, ensuring the safety and well-being of individuals in enclosed spaces is of paramount importance. One of the key challenges in this endeavor is the detection of toxic gases and volatile organic compounds (VOCs) that can pose severe health risks if left undetected. So, the primary motive of this model is to design and implement a sensor array …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 8–13 Read article
-
Flavonoids: An Answer to Chronic Diseases
Abstract: It has been shown that inflammation is closely associated with the onset or exacerbation of quite a few non-communicable human diseases. Several chronic diseases, such as cancer, diabetes, cardiovascular dysfunction and central nervous system damage are also developed following tissue injury produced by the high fragments of low-grade inflammation surrounding a compromised tissue or organ due to its acquired genomic changes. Current therapies for many of these diseases are associated …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 31–37 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
-
DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article