Search
65 articles for “Project Phases”
-
Development of a Polymer-Encapsulated IoT-Based Sensor for Thermal and Electrical Protection of EV Batteries
Abstract: Electric Vehicles (EVs) mark a critical shift toward sustainable transportation, with Battery Management Systems (BMS) playing a vital role in ensuring battery safety, reliability, and efficiency. The proposed BMS in this project incorporates real-time charge monitoring, temperature sensing, and fire detection capabilities to address safety concerns associated with lithium-ion batteries. Key features include current and voltage tracking, State of Charge (SoC) estimation, fault detection, and a user-friendly LCD interface. By …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 582–591 Read article
-
Forest Fire Detection System
Abstract: The IOT industry is rapidly growing in the current scenario. Each one of us now understands the significance of Internet of Things. At present, it is being used in almost all industries making our lives a bit easier. Forest fires have become a massive threat across the globe, causing numerous negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are among the consequences of such …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 1–5 Read article
-
Automation of Rack Milling Machine
Abstract: Our project is about automation of old milling machine by replacing its control circuitry withPLC logic. There is one old Germen rack milling machine in the power tools manufacturingindustry named Eibenstock Positron Ltd. Tardal for making the racks of metal bar. Thismachine was working on old hard wired control logic. This control logic had difficulties introubleshooting problems, modification of system could not be done easily and control boxwas large, also …
Published in Trends in Electrical Engineering · Vol. 7, Issue 1, 2017 · pp. 48–50 Read article
-
Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
-
An Overview on the Management cum Treatment of Nephropathy in Type-1 Diabetes Mellitus
Abstract: The motive of this review is to keep updated with the medical nonfictions, the projected early natural arrangement of diabetic nephropathy, the theories behind the root of its pathogenesis pathophysiology, diagnosis and its supervision. Type 1 diabetes is an autoimmune disease characterized by advanced destruction of pancreatic beta cells by genetic and environmental factors which primes to an absolute necessity of insulin for survival and conservation of health; while Diabetic …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 3, 2020 · pp. 19–38 Read article