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217 articles for “constrained optimization”
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Biophilic Design as a Bridge Between Applied Vastu and Contemporary Interior Design Practice in Urban Indian Residences
Abstract: The growing disconnect between urban Indian residents and the natural environment has prompted renewed interest in design strategies that restore human–nature connections within indoor spaces. This paper investigates the conceptual and practical convergence between biophilic design—a framework grounded in the innate human affinity for nature—and Vastu, the ancient Indian architectural science that prescribes spatial harmony through alignment with natural forces. Drawing on a qualitative review of existing literature, established biophilic …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 52–61 Read article
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Evaluating the Role of Pharmacists in Managing Antibiotic Use and Combating Multi-Drug Resistance in Hospital Settings
Abstract: Antibiotic resistance is now one of the crucial health issues of the world, especially in hospitals where high usage of antimicrobials is increasing the rate at which multi-drug resistant (MDR) organisms appear. Misprescription, extended treatment, and over-use of broad spectrum antibiotics play a large role in the development of resistance resulting in the growth of morbidity, mortality and health care expenditure. This review analyses the essentiality of pharmacists in controlling …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 · pp. 12–19 Read article
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Navigating the Antenna Frontier for Emerging IoT Technologies
Abstract: Internet of Things (IoT) is rapidly transitioning from niche applications to a pervasive, interconnected fabric of intelligent devices, demanding unprecedented levels of performance, reliability, and miniaturization from its constituent components. At the heart of this revolution lies the antenna, the crucial interface between the digital and physical realms. This paper delves into the intricate and evolving landscape of IoT antenna design, specifically addressing the unique challenges and opportunities presented by …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Design and Development of Electric Two-Wheeler
Abstract: Presently, the fuel can exceed just for a particular period and it also becomes costlier and creates environmental issues. Due to these constraints, alternate fuels and other source of energy like solar, wind, etc. bringing car industry to subsequent level. Also, the electrical vehicles are developing rapidly. The electricity stored during a rechargeable battery, which provides power to electric motor and this power helps in propulsion of motorcycle. This study …
Published in Journal of Production Research & Management · Vol. 10, Issue 1, 2020 · pp. 1–11 Read article
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Aquaculture and Computers—Innovations and Applications
Abstract: Aquaculture, the cultivation of aquatic organisms for commercial purposes, has grown significantly over the past few decades due to the increasing global demand for seafood. The integration of computer technologies into aquaculture has revolutionized the industry, enabling more efficient management of resources, improved production processes, and enhanced sustainability. Computers and digital systems facilitate real-time monitoring of water quality, fish health, and feeding systems, while data analytics and artificial intelligence (AI) …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 70–85 Read article
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Digital Enablers of Nanomedicine: Pharmaceutical Software Across the Lifecycle of Nanotechnology‑Based Drug Products
Abstract: Nanotechnology‑based drug products have rapidly evolved from laboratory concepts to clinically relevant therapies, yet their development is constrained by complex design variables, stringent quality requirements, and emerging regulatory expectations specific to nanomaterials. Pharmaceutical software now plays a central role in the nanomedicine lifecycle, enabling in silico design of nano‑carriers, simulation of nano–bio interactions, control of nanoscale quality attributes during manufacturing, and systematic tracking of safety signals in real‑world use. Integrated …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 11–16 Read article
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A Review Paper on Scheduling of Electric Vehicle using Different Types of Electric Motor
Abstract: The rapid growth of electric vehicles has created a strong need for efficient scheduling strategies to enhance overall system performance and energy utilization. This paper presents a comprehensive review of scheduling approaches for electric vehicles by considering different types of electric motors, including direct current motors, brushless direct current motors, permanent magnet synchronous motors, switched reluctance motors, and induction motors. Each motor type exhibits unique operational characteristics that influence efficiency, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 71–78 Read article
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Sustainable Livestock Management Practices: Reducing Environmental Impact, Improving Animal Welfare, and Increasing Productivity
Abstract: Sustainable livestock management is essential for addressing the increasing global demand for animal products while reducing environmental impact, safeguarding animal welfare, and sustaining productivity. This review explores sustainable approaches in livestock farming, emphasizing strategies to reduce environmental degradation, enhance animal welfare, and boost productivity. Environmental impacts, including greenhouse gas emissions, nutrient runoff, and water usage, present significant challenges. Sustainable practices such as efficient nutrient management, low-emission breeding, dietary interventions, and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 2, 2024 · pp. 23–27 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Quality of Services (QoS) in Linux Operating System
Abstract: Quality of Service (QoS) is a fundamental characteristic of contemporary computer networks, enabling the prioritization of network traffic and the allocation of network resources according to specific criteria. The Linux operating system provides a powerful set of QoS tools, including Traffic Control, Differentiated Services, and Network Emulator. These utilities enable you to establish traffic categories, impose bandwidth constraints, and give precedence to traffic according to diverse criteria such as IP …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 2, 2023 · pp. 1–5 Read article
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Genetic Algorithm Based Simulation for IEEE-30 Bus System Multi-Objective Power Flow Design
Abstract: In order to control and orchestrate profitable power structures, OPF algorithms are a critical area of research. Perfect Power Flow is utilised to keep objective work to a minimum. This goal restriction might be a single goal or a set of goals. In this work, we used a perfect energy stream to reduce the cost of fuel while meeting constraints such as generator tension and electrical yields, which are used …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 9–15 Read article
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Analysis and Benefits of Soil Health Card in Salgarha Village of Tripura
Abstract: The soil health card serves as an evaluation tool to gauge the overall well-being and characteristics of soil, considering its attributes, botanical components, and biological features. Its primary function is to assist farmers in the ongoing process of monitoring and enhancing soil health, leveraging their practical experiences and firsthand understanding of their land. Consistent utilization of the card enables the tracking of prolonged patterns in soil health and facilitates the …
Published in Journal of Geotechnical Engineering · Vol. 10, Issue 2, 2023 · pp. 24–33 Read article
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Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Optimal Design of Solar Roof Top Photovoltaic Plant Under Various Operating Conditions
Abstract: As conventional energy sources are quickly exhausted, the need to switch to sustainable alternatives has never been more urgent. The transition from conventional energy resources to renewable sources, particularly solar energy, has emerged as a pivotal step towards sustainable development This paper explores the advantages of solar power plants, with a focus on rooftop solar installations. Installing solar panels on a roof is revolutionizing the industry. The design phase of …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 1, 2023 · pp. 35–45 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Thermal Interaction Analysis Between Flexible Magnetic Abrasive Brush and Aluminium Alloy During Single-Pole MAF
Abstract: Magnetic Abrasive Finishing (MAF) is a precision surface‐finishing approach that employs magnetic abrasive particles (MAPs) within a managed magnetic field to eliminate micro-level material and enhance surface condition. In the finishing process, the friction created between the workpiece and the flexible magnetic abrasive brush (FMAB) leads to heat accumulation, which may badly affect the surface integrity. This study focuses on investigating the temperature distribution at the FMAB–workpiece interface to decrease …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1906–1918 Read article
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Design and Optimization of tooth Profile Modification of Spur Gear by FEA Approach
Abstract: The most important component in vehicle is Gear, In order to accomplish high load carrying capacity with reduced weight of gear drives but with increased strength in gear transmission, gear tooth stress analysis, tooth modifications and design of gear drives are becoming major research area. The failure of gear teeth occurs for particular reason such as high load carrying capacity, high speed rotation etc. The bending stress is largest in …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 15–24 Read article
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How small circuits power big technology in the world of VSIL
Abstract: Very Small Integration Level (VSIL) circuit technology represents an emerging class of ultra- compact, low-power electronic design methodologies that enable the creation of highly efficient and scalable systems. This article explores the fundamental principles behind VSIL circuits, including device miniaturization, optimized layout strategies, adaptive power management, and noise-resilient architectures. We also look into the methodical engineering of VSIL circuits to satisfy the ever-tougher performance, robustness, and long- term energy-efficiency demands …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 44–53 Read article
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Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article