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811 articles for “Design-Down Approach”
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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Recognition of Engine Parameters for Mahua Biodiesel by Analyzing the Performance Using OFAT Approach
Abstract: The review work deals with the prediction of significant engine input parameters by the use of one factor at a time approach. The technique is a trial of experiments by varying only one engine input parameter and others remain at constant values. The various engine input parameters are found from the literature review. In the current work, six engine input parameters are predicted from the past research. These are blending …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 1, 2023 · pp. 1–10 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT- based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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A Study to Assess Prevalence of Tobacco Use Among Adolescents and Assess the Effectiveness of Structured Teaching Program Regarding Ill Effects of Tobacco Use and Its Prevention Among Adolescents in Selected Community of New Delhi
Abstract: Tobacco use among adolescents has become a global challenge and it is reaching pandemic levels. The objectives of the study were (a) to assess the prevalence of tobacco use among adolescents in a selected community of New Delhi, (b) To provide an organised education programme on the negative effects of tobacco smoking and how to prevent it for teenagers in a chosen New Delhi community, (c) to determine whether the …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 23–38 Read article
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Deadlock Controlling Algorithms for Distributed Database Systems
Abstract: When the demand for a system resource exceeds the system's capacity, deadlock – an operating system problem – results. The problem of deadlock frequently causes a distributed database's performance to lag. This research critically examined two types of deadlock problems that have an impact on a distributed database's performance. Transaction control and transaction location deadlock difficulties were the specific challenges that the article specifically addressed. In this paper, deadlock prevention …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 10–17 Read article
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Solar Powered Irrigation System Design with Venturimeter for Utilizing Natural Resources
Abstract: This research focuses on enhancing crop productivity in agriculture by ensuring high quality and quantity of crops. Crops needs to be given adequate nutrients in an efficient and timely fashion as a way to accomplish this.. Thus, liquid-based fertilizers are selected for this purpose. However, farmers often face challenges in supplying fertilizers with the required quantity and precision. To address this issue, we propose a solution that leverages solar energy …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 29–35 Read article
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Effectiveness of State-level Workshop on Nursing Ethics and Legalities Knowledge Among Nursing Officers at KIMS Hospital Bengaluru
Abstract: Introduction: Over the past decade, nurses' roles have expanded, encompassing expertise, autonomy, and accountability from legal and ethical perspectives. Understanding healthcare legal aspects is crucial for high-quality practice, as nurses deal with human events like birth, death, and suffering. Objective: To evaluate the effectiveness of state-level workshop on nursing ethics and legalities knowledge among nursing officers at KIMS Hospital Bengaluru. Method: The study utilized a quasi-experimental design with a single-group …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 12–16 Read article
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Use of AI Tools to Create New Drugs
Abstract: The emergence of artificial intelligence in pharmaceutical research [in drug discovery] is a revolution in pharmaceutical research, often combining computational methods with traditional research methods to solve problems. This review article describes various applications of artificial intelligence at various stages of drug development and highlights significant advances and approaches. He explores the critical role of intelligence in drug design, polypharmacology, drug synthesis, drug repurposing, and prediction of drug properties, such …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 22–49 Read article
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Assessing the Impact of Chlorhexidine Mouthwash on Radiation-Induced Oral Mucositis in Head and Neck Cancer Patients: A Pre-Experimental Study
Abstract: Introduction: Cancer poses a major global health threat and is the second leading cause of death worldwide, following cardiovascular diseases, particularly in developed countries. Among cancers, head and neck cancer ranks as the 6th most common, representing about 6% of all cancer diagnoses. One of the frequent side effects of radiotherapy (RT) is mucositis, an inflammation of the mucous membranes. Chlorhexidine, a commonly used antiseptic and disinfectant found in mouthwashes, …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Building Scalable Microservices with Micronaut, Kotlin, and AWS DynamoDB: A Comprehensive Architecture Study
Abstract: The evolution of enterprise software has trended steadily toward microservice architectures due to their inherent scalability and resilience advantages over monolithic systems. This research explores a comprehensive implementation approach using Micronaut, an innovative JVM-based framework specifically designed for resource-efficient microservices. The study combines Micronaut with Kotlin programming language and leverages AWS DynamoDB as a scalable NoSQL persistence layer, with Apache Kafka providing event-driven communication capabilities. We explore the critical role …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 40–57 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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The Impact of Artificial Intelligence on the Sales and Marketing of Pharmaceutical Products
Abstract: The rapid development of computing and technology has permeated all branches of science, with artificial intelligence (AI) emerging as a pivotal field in computer science. AI has significantly influenced disciplines ranging from basic engineering to pharmaceuticals. In healthcare and medicinal chemistry, AI applications have become indispensable. Traditional drug discovery approaches are gradually being overtaken by computer-aided drug design. In recent years, artificial intelligence (AI) and machine learning (ML) have become …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 10–18 Read article
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A Majority Function Based Full Subtractor
Abstract: In the present landscape of very large-scale integration (VLSI) technology, the imperative to implement Boolean functions with minimal gate count remains a cornerstone of efficient circuit design. This pursuit has only grown more critical with the evolution of low-power design strategies, which now offer significantly enhanced benefits compared to traditional approaches. The trifecta of performance, affordability, and dependability continue to drive innovation in this field, shaping the trajectory of technological …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 8–14 Read article
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Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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Optimization of Process Parameters for Cu90Ni10 Alloy Processed by Wire Arc Additive Manufacturing (WAAM) Using an L9 Orthogonal Array
Abstract: Abstract Wire Arc Additive Manufacturing (WAAM) has gained significant attention in recent years as a promising technique for producing complex metallic components. This study focuses on the processing of Cu90Ni10 alloy using WAAM and employs an L9 orthogonal array to optimize the mechanical properties of the resulting components. Cu90Ni10 alloy is known for its excellent corrosion resistance and electrical conductivity, making it a critical material in various industries, including aerospace …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 292–301 Read article
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Embracing Health, Safety, and a Greener Environment in the Construction of Offshore Structures
Abstract: Offshore infrastructure (oil and gas platforms, offshore wind farms, subsea cables, ports, and associated works) plays a vital role in energy, communications, and trade. However, construction activities offshore create complex safety, public health and environmental risks from worker injuries and exposure to hazardous substances, to marine pollution and ecosystem damage with downstream human health effects. This paper reviews the hazards, regulatory and management frameworks, lessons from major incidents, and practical …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 30–41 Read article
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A Study to Develop a Planned Teaching Programme and Demonstration on Intravenous Cannulization for Staff Nurses and Assess Its Effectiveness in Terms of Gaining Knowledge and Practice at Selected Hospital in Delhi, India
Abstract: Introduction: Intravenous cannulization is a fundamental skill for staff nurses, crucial for effective patient care and treatment delivery. Despite its importance, variations in technique and knowledge gaps can impact patient outcomes and safety. This study addresses this need by developing a structured educational program specifically designed to improve the knowledge and practical skills of nursing staff in intravenous cannulization. Objectives of the study were: a) To assess the knowledge of …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 35–41 Read article
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Static Structural Analysis and Bridge Modeling Using ANSYS
Abstract: Structural analysis is a crucial discipline within civil engineering that ensures built structures are safe, durable, and capable of performing the functions for which they are intended. This scientific approach is essential for confirming that all safety requirements are met, thereby allowing structures to fulfill their purpose efficiently and economically over their design lifespan. The principles of structural analysis originate from the collaborative efforts of engineers across various domains, all …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 27–32 Read article
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Formation and Fabrication of A 3D- Printed Polymer Propeller for Improved Propulsion and Minimal Acoustic Emission: A Comparative Study for Small Unmanned Vehicles
Abstract: The current research focuses on a comparative analysis of propeller designs to identify an option that enhances thrust efficiency while minimizing acoustic noise. The study evaluates three distinct types of propellers: the traditional three-blade propeller, the Sharrow propeller, and a novel aero propeller featuring an air foil-shaped cross-section. To facilitate a hands-on analysis, these propellers were produced using 3D printing technology, specifically employing ABS filament through a Fused Deposition Modelling …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 252–261 Read article