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1414 articles for “operation”
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Adaptive Reuse of Abandoned Industrial Structures for Healthcare Centres
Abstract: Adaptive reuse as an industry has been marketed as an expensive one. When it comes to the retail, hospitality, or domestic sectors, that is the case; however, the use of abandoned structures has been found to be cost-effective in the healthcare sector. This research paper aims to understand adaptive reuse in the context of the healthcare industry. It is a well-known fact that the worldwide epidemic drove the economy to …
Published in International Journal of Architectural Design and Planning · Vol. 2, Issue 1, 2024 · pp. 01–08 Read article
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Investigating Temperature Effects on Thermal Analysis of Composite Heat Pipes with Diverse Geometrical Configurations
Abstract: As the demand for efficient heat dissipation technologies continues to surge, understanding the intricate interplay between temperature variations and the thermal performance of heat pipes assumes paramount importance. This study investigates the impact of temperature fluctuations on the thermal behaviour of heat pipes with diverse geometric configurations. A comprehensive analysis is conducted utilizing advanced computational simulations coupled with experimental validation techniques. Heat pipes are an innovative heat transfer device with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 20–34 Read article
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Optimizing Manufacturing Processes with Taguchi Method in Production Engineering
Abstract: The Taguchi Method, pioneered by Genichi Taguchi, stands as a powerful optimization tool within the realm of production engineering. This paper delves into the principles, applications, and significance of the Taguchi Method in enhancing manufacturing processes. With a focus on minimizing variation and improving performance, this methodology plays a crucial role in addressing challenges faced by industries in their pursuit of operational excellence. The core components of the Taguchi Method, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Contemporary Society and the Impact of Artificial Intelligence
Abstract: Artificial intelligence often referred to as the Fourth Industrial Revolution (IR 4.0), is poised to revolutionize not only our operational processes and social dynamics but also our understanding of ourselves. This article aims to establish a comprehensive definition of AI, scrutinize its impact on industrial, social, and economic landscapes in the 21st century, and subsequently propose a framework of principles governing AI bioethics. The first industrial revolution (IR 1.0) in …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 36–44 Read article
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Exploring the Landscape of Big Data: Impact, Tools, Challenges, and Opportunities
Abstract: This study explores the constantly changing field of big data, not merely as a repository of enormous amounts of information, but also as a force that is reshaping our world. It sheds light on the ways in which big data stimulates creativity and drives change in a variety of sectors, including urban planning, finance, healthcare, and environmental sustainability. Through the investigation of state-of-the-art analytics, distributed computing, and data visualization tools, …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 1–4 Read article
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Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article
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Morse Code Translator to Convert Text to Morse Code and Morse to Text
Abstract: Initially, Morse code exclusively conveyed numerals through a series of dits (dots) and dahs (dashes). Alfred Vail later expanded its use to include letters and characters. Morse code can be conveyed through different channels, including electric telegraph wires, light signals, and audible sound. American prisoners utilize the Tap code for communication. Morse code serves as a means of long-distance communication and was established by European nations in 1851 as the …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 1, 2024 · pp. 6–11 Read article
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IMAT: Intuitive Malware Analyzer Tool
Abstract: Malware refers to malicious software intentionally created to damage or exploit computer systems, networks, and devices. Malware can steal information, damage computers, and cause other problems disrupting normal computer operations, or gaining unauthorized access to systems. Our proposed system, "IMAT (Intuitive Malware Analyzer Tool)" uses special Python tools like VirusTotal and YARA to look for and understand malware. Imagine having a guard for your computer that checks all the files …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 13–18 Read article
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Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
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The Impact of High-speed Networks on HFT Performance
Abstract: This study provides an in-depth examination of the critical role that high-speed networks play in the operations of high-frequency trading (HFT) firms. High-speed networks, characterized by their low latency and high bandwidth, facilitate the rapid, efficient transmission of massive quantities of data, a capability that is vital to the success of HFT strategies. We explore the core infrastructure that enables high-speed trading, from high-performance servers and switches to network interface …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 1–8 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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Developing a Chatbot System Utilizing Artificial Intelligence and Natural Language Processing
Abstract: Software applications commonly feature a user interface that falls into broad categories, namely graphical user interface (GUI), text-based UI, or a blend of both. This interface is predominantly employed in web-based and desktop applications. A chatbot, designed to engage with users, operates through the storage and retrieval of session data. It proves particularly beneficial in situations where obtaining information about individuals who are not affiliated as students or employees of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 24–29 Read article
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IT Security and Intrusion Detection Systems: An Introduction
Abstract: This article deals with the current status of IT security in an industrialized country and one of the many approaches. The emphasis is on what are known as intrusion detection systems. These enable users to detect suspicious behavior and attacks in daily IT operations by analyzing data, resources, and network flows. Based on previous research, the different variants, available detection types, and their working methods are briefly explained and presented. …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 10–17 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Building a Smart, Secured and Sustainable Campus: A Self-powered Wireless Network for Environmental Monitoring
Abstract: Traditional wired sensor networks for building environmental monitoring often face challenges related to scalability, cost, and resilience. This paper introduces a novel concept called the Green Environmental Monitoring Network (green EMN), tailored specifically for campus environments. The objective of this study is to propose a self-powered wireless network solution that utilizes strategically deployed wireless sensor nodes within buildings for environmental data collection while integrating advanced security measures and sustainable power …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 27–44 Read article
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Wired for Mobility: Investigating Routing Protocols and AI Integration in MANETs
Abstract: Nodes in Mobile Ad Hoc Networks (MANETs), which operate without a fixed infrastructure, communicate wirelessly in a dynamic and demanding environment. In these kinds of situations, routing becomes essential to guaranteeing effective data transfer. The dynamic topology and shifting network conditions of MANETs present challenges for traditional routing protocols. The blending of routing protocols with Artificial Intelligence (AI) techniques has become a viable way to improve MANET performance in recent …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 31–36 Read article
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A Review on Evolution of Medicine After and During Corona
Abstract: As of the beginning of 2023, 6.7 million people had perished from COVID-19, according to the World Health Organization. However, there have also been some positive developments, such as the notable decline in influenza-related deaths in the first year of the pandemic as a result of masking and social isolation, as well as the quick adoption of vaccines utilizing cutting-edge technologies like mRNA vaccines, which hold out great promise for …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 1, 2024 · pp. 1–9 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article
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Simultaneous Determination And Stability Indicating Method For Telmisartan, Metoprolol Succinate And Cilnidipine In Tablet Dosage Form.
Abstract: There are several medicinal agents available for antihypertensive activity. Telmisartan, metoprolol and cilnidipine are among them. Quantitative and qualitative analysis plays a pivotal role in safeguarding patients. Here, the estimation of these drugs was performed by using the chromatographic technique RP-HPLC. It was conducted with Phosphate buffer (pH 3.5 ± 0.01): Methanol (50:50 v/v) mobile phase. The system was operated at 1 ml/min. Drug volume to the system was 20μl. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 32–38 Read article
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Implementation of Light Weight Carbon Composite Driveshaft for a Light Commercial Vehicle
Abstract: The automotive drive shaft is a crucial component for power and torque transmission in vehicles, with a tubular shape that spins due to engine power. The current drive shaft is made of heavy-duty mild steel, increasing the vehicle's weight and fuel consumption. To reduce the weight, a composite material called carbon fiber was used. Carbon fiber showed better performance in driveshaft operation, and its properties were evaluated using universal testing …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 52–65 Read article