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1793 articles for “work in process”
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Reducing Cell Density Congestion Issue in Chip Design
Abstract: AbstractThe congestion issues reduce with the help of shrinking process technologies. Here, typical placement objectives involve reducing cell density congestion in a chip design. Congestion reducing is the least understand; however, it models route ability most accurately. The congestion issue is cell density (commonly believed to be very effective) does not always work well, so here by applying the partial block technique for the cell density is among the best …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 3, 2019 · pp. 11–17 Read article
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Critical Analysis on Action of Basti: A review
Abstract: Introduction: Amongst PanchaKarma (Five basic therapeutic procedures in ayurvedic medicine), Basti is considered to be the most powerful tool for treatment. The above statement could be more easily understood with the statement of Acharya Charakaa, that the Basti is the best tool to alleviate the Vata Dosha which is the most powerful Dosha (one of the three basic element deciding health). Some of the ancient researchers have quoted importance of …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 9, Issue 03, 2022 · pp. 32–36 Read article
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Revolutionizing Orthopedic Nursing: The Transformative Impact of Artificial Intelligence on Patient Care and Nursing Practices
Abstract: The use of Artificial Intelligence (AI) in orthopedic nursing care has become a game-changer, significantly improving patient care, surgical results, and the efficiency of nursing processes. This review explores the latest trends in AI applications within the field of orthopedic nursing, detailing the scope of these technologies, their impact on patient care, and the challenges faced by healthcare professionals. By examining contemporary literature, this review aims to provide insight into …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 13–17 Read article
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Sustainability of Asphalt Pavement in Terms of CraSustainability of Asphalt Pavement in Terms of Crack Healing Phenomena: A Reviewck Healing Phenomena: A Review
Abstract: The Asphalt concrete mixture is considered to have nonlinear viscoelastic behavior, its fatigue life consists of two components, namely the resistance to fracture and crack, and the ability to heal the micro cracks. Both of the processes change with temperature and time. Such processes exhibit the sustainability potential of asphalt concrete pavement. The approach to study this potential requires mechanical tests like creep or relaxation, strength and repeated load tests. …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 38–55 Read article
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Sustainability of Asphalt Pavement in Terms of Crack Healing Phenomena: A Review
Abstract: Abstract The Asphalt concrete mixture is considered to have nonlinear viscoelastic behavior, its fatigue life consists of two components, namely the resistance to fracture and crack, and the ability to heal the micro cracks. Both of the processes change with temperature and time. Such processes exhibit the sustainability potential of asphalt concrete pavement. The approach to study this potential requires mechanical tests like creep or relaxation, strength and repeated load …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 38–55 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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Paradigm of Artificial Intelligence in Business Management
Abstract: Artificial intelligence stands out as a prominent trend in today's technological landscape, enabling machines to engage in human-like thinking, learning from experiences, adapting to new inputs, and making decisions. This capability facilitates rapid and error-free results, akin to human rational decision-making. In the contemporary business landscape, which is often regarded as a cornerstone for national development, artificial intelligence plays a pivotal role. Businesses, ranging from small-scale enterprises to medium-sized ones …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 26–30 Read article
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Advancing UAV Video Transmission: A Full-Duplex System with RF and Signal Processing for Reliable, Long-Range HD Communication
Abstract: Unmanned aerial vehicles (UAVs) have transformed industries by enabling advanced aerial imaging and data collection. However, transmitting high-definition (HD) video from UAVs to ground stations poses challenges such as limited range, bandwidth constraints, and interference. This paper presents the development of an HD, full-duplex video transmission system using cutting-edge electronic technologies, including advanced radio frequency (RF) systems and signal processing. These electronic systems are designed to ensure fast, reliable, and …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 38–45 Read article
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Designing Self-Optimizing Operating Systems: Information-Theoretic Approaches to Thread Scheduler Implementation
Abstract: Thread Level Scheduling (TLS) in multi-core and many-core processor environments represents a critical frontier in next-generation operating system design. As computing systems grow increasingly heterogeneous and concurrent, traditional scheduling strategies often rely on heuristics or localized resource metrics, frequently overlooking the deeper, quantifiable relationships and uncertainties inherent in complex concurrent workloads. This study explores the application of information-theoretic approaches, specifically entropy-based task allocation, mutual information-driven dependency analysis, and channel capacity-inspired …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 31–39 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Different Aspects to Achieve the Hole Quality in Gun Drilling Machining
Abstract: The manufacturing industry is always trying to fulfill the requirement of various industries and developing facilities to manufacture the designed parts. Many applications for various industries demand for deep drill where the ratio of depth of the hole to the diameter is greater than twenty. Gun drilling, B.T.A. drilling and ejector drilling are the three drilling processes to make deep holes. In the gun drilling process the pressurized oil is …
Published in Journal of Production Research & Management · Vol. 6, Issue 1, 2016 · pp. 34–38 Read article
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Enhancing Fire Performance of Steel Reinforcement in RCC Structures: A Comprehensive Investigation
Abstract: The assessment, repair, and rehabilitation of fire-damaged structures have become crucial due to the rise in significant building fires.This particular field necessitates proficiency in various domains including concrete technology, material science and testing, structural engineering, and repair materials and processes. Researchers and developers are currently engaged in extensive efforts to tackle the challenges related to improving the fire resistance of steel reinforcement in reinforced concrete (RCC) structures. These endeavors involve …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 33–40 Read article
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Fundamentals and Recent Advances in Microreactor Catalysis and Flow Chemistry
Abstract: The processing technology of chemical reactions has changed quite a bit over the last few decades. For a long time, chemists relied on batch reactors having large containers where all the starting materials are mixed, and the reaction happens in one go. While this approach works, it has several drawbacks: poor heat control, uneven mixing, safety risks, and a lot of waste. Microreactors and flow chemistry offer a much better …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 07–18 Read article
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Implementation of Antenna Array Configuration with MATLAB
Abstract: AbstractThis paper work is devoted for the design and simulation of Antenna Array Configuration with MATLAB. An antenna array (or array antenna) is a set of multiple connected antennas which work together as a single antenna, to transmit or receive radio waves. The array also enabled the antenna system to be electronically steered – to receive or transmit information primarily from a particular direction without mechanically moving the structure. As …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 1, 2019 · pp. 29–33 Read article
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A Mental Health Chatbot Based on Artificial Intelligence and Machine Learning
Abstract: Chatbots provide young people additional low-barrier chances for preventive mental health support. We outline an exploratory design study in which we created and assessed a prototype chatbot to assist school nurses in their work with the school health service in order to give the knowledge required to develop chatbots for this purpose. The development of the prototype was aimed at promoting mental health prevention. School nurses, professionals in digital health, …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 3, 2022 · pp. 8–14 Read article
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FPGA and Microcontroller based Data Acquisition System using Two Wire Serial Communication
Abstract: Monitoring and controlling systems are common in industry safety and security systems, measurements, data logging, etc. However, these systems are generally expensive. In addition, components and electronic design automation (EDA) tools needed for advanced controlling and monitoring are not widely available in some countries. This work focuses on designing a simple and low cost Data Acquisition (DAQ) system for the purpose of monitoring and controlling with low cost microcontrollers (MCU) …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 3, 2014 · pp. 1–9 Read article
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Predictive Modeling and Optimization of Citric Acid Bioproduction Using Ipomoea batatas Peel (Sweet Potato)
Abstract: In this research, the Box–Behnken design was adopted and applied to the process and the total of 30 experimental runs were generated for the liquefaction steps considered for the purpose of citric acid bioproduction using Ipomoea batatas peel (sweet potato) which was very helpful during the investigatory process of this research. The liquefaction step adopted were very sensitive as gross investigations to ascertain their usability was made and proven worthy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 13, Issue 1, 2022 · pp. 32–43 Read article
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AI Powered Invention in Pharmaceuticals Boosting Innovation
Abstract: Artificial intelligence has the potential to transform the drug discovery process, making the process more efficient, accurate and faster. But the success of artificial intelligence depends on the availability of good data, resolution of ethical issues, and awareness of the limitations of artificial intelligencebased methods. The present article examined the benefits, challenges, and shortcomings of skills in the workplace and suggested strategies and practical actions to overcome current challenges. Data …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 102–107 Read article
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Glitches in the Implementation of Bioinformatics in Medical Settings: A Comprehensive Review
Abstract: Bioinformatics is a dynamic field at the intersection of biology, computer science, and information technology, offering new possibilities in medicine by enabling a deeper understanding of genomics, molecular biology, and personalized treatment approaches. Its integration into healthcare could greatly enhance diagnostics, enable tailored treatments for individuals, and facilitate the analysis of large biological datasets. However, despite its potential, several barriers impede its successful implementation in clinical settings. These include technical …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article