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816 articles for “machining time”
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Gesture Vocalizer Using Arduino
Abstract: Science and technology have been an indispensable part of our lives, driving innovation and transforming the way we communicate. Communication barriers between the hearing-impaired and the hearing population pose significant challenges in daily interactions. Sign language, a primary mode of communication for the deaf and mute communities, is not universally understood by the general public. This research work presents a novel system for real-time sign language to speech conversion, aiming …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 14–25 Read article
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A Study on Computer Vision: Techniques, Algorithms and Application
Abstract: This study gives a brief explanation or idea about what computer vision is and how it is implemented. Computer vision has so many different applications which are being used and are also under development for future enhancements. All this information can be found here in this research work. Computer vision is a branch of computer science that aimed at developing digital system, which is capable of processing, analysing, and comprehending …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
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A Review on Effect of Aluminium & Silicon Powder on Response Variables in Powder Mixed EDM
Abstract: In this paper, for machining different materials, the blending of aluminium and silicon powders into the dielectric liquid of electric discharge machining (EDM) has been studied. Different process parameters like peak current, powder focus, powder grain size, obligation factor, pulse on time, pulse off time, spout flushing and duty cycle has to be specific. The execution of procedure is done regarding response factors like tool wear rate (TWR)/electrode wear rate …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 1–7 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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An effort for maximizing the material removal rate during the wire cutting of difficult to machine Inconel X750 using electric discharge machining process
Abstract: The growing demand for harder materials with exceptional hardness poses a significant challenge for industries as achieving precise machining becomes increasingly tricky. The Inconel family of materials, renowned for their hardness, has been extensively studied. However, with the continuous introduction of new materials, the scope of research remains vast. In this context, Inconel X750, a corrosion and oxidation resistance, nickel-chromium-based alloy with excellent hardness, has gained attention. Despite its significance, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 1–17 Read article
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Intelligent Automated Guided Vehicle (AGV) System for Optimized Material Handling
Abstract: This project is the development of an Automated Guided Vehicle (AGV) system that has been developed to handle materials in the high-accuracy, reliability, and efficiency in industrial settings. The AGV is a combination of a blend of advanced technologies including sensor fusion, real-time path planning, and AI-based navigation to allow smooth and intelligent operation with minimal human intervention. The vehicle is able to efficiently identify, and evade obstacles by using …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Intelligent Automated Guided Vehicle (AGV) System for Optimized Material Handling
Abstract: This project is the development of an Automated Guided Vehicle (AGV) system that has been developed to handle materials in the high-accuracy, reliability, and efficiency in industrial settings. The AGV is a combination of a blend of advanced technologies including sensor fusion, real-time path planning, and AI-based navigation to allow smooth and intelligent operation with minimal human intervention. The vehicle is able to efficiently identify, and evade obstacles by using …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 1–7 Read article
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Optimization of Process Parameters for ABS, Nylon, Polypropylene Material in Injection Molding Using Taguchi Method
Abstract: The process of plastic injection molding (IMP) itself is a multifarious of time, temperature and pressure variables with a profusion of manufacturing defects that can occur without upright fusion of processing parameters and design components. Ascertaining the reform foremost process parameter settings commentative dominates productivity, quality, and costs of production in the plastic injection molding industry. Most plastic injection molding industries are using trial-and-error method/approximation method, based on experience of …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Determining the Effect of Cutting Parameters on Surface Roughness in Turning Process Using the Taguchi Method
Abstract: This study focuses on optimizing turning parameters based on the Taguchi method to minimize surface roughness (Ra). Experiments have been conducted using the L9 orthogonal array in a CNC turning machine. Turning tests are carried out on aluminium alloy AISI 1061 with carbide cutting tools. Each experiment is repeated two times and each test uses a new cutting insert to ensure accurate readings of the surface roughness. The statistical methods …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 2, Issue 3, 2015 · pp. 17–22 Read article
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Redesigning the Pump Assembly Layout to Enhance the Productivity
Abstract: This paper discusses the productivity improvement in pump layout. The whole paper deal with the causes for higher cycle time in the production of pump and developing the efficient and effective layout. To accomplish the goal, analyse the cycle time of all work stations by the help of stop watch, with the help of the assembly worker and stop watch the data is collected. The cycle time graph are drawn …
Published in Trends in Machine design · Vol. 5, Issue 3, 2018 · pp. 20–26 Read article
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A Study on Responses Parameter of EDM Process in EN-353 Steel Using Grey Relational Analysis
Abstract: Electrical discharge machining (EDM) process is the most practically non-conventional machining processes for machining newly developed high strength alloys with high degree of dimensional accuracy and economical cost of production. The last decade has seen an increasing interest in the novel applications of this process, which is particular emphasis on the potential for surface modification. To gain these goals, the consideration is by optimizing the process parameters such as the …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 1, 2015 · pp. 32–40 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Human-Centered AI in Museums: Enhancing Accessibility and Visitor Engagement
Abstract: Artificial intelligence (AI) is being used extensively in museums, which are cultural and learning spaces, to improve accessibility, optimize environmental conditions, and improve visitor experiences. Traditional museum designs are evolving to accommodate the demands of contemporary visitors, as they frequently fall short in properly engaging various audiences. AI-powered tools like augmented reality, machine learning, and smart sensors allow museums to design customized, adaptable spaces. Based on real-time visitor data, these …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 27–33 Read article
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Trends, Challenges, and the Future of Unmanned Aerial Systems
Abstract: The rapid evolution of unmanned aerial vehicles (UAVs), commonly referred to as drones, has transformed numerous domains — from military surveillance and logistics to precision agriculture and atmospheric research. This paper examines the current state of drone technology, industry trends, regulatory frameworks, socio-economic impacts, ethical considerations, and future research directions. With contributions from multidisciplinary studies, this review emphasizes emerging technologies, performance metrics, risk factors, and opportunities for innovation. In recent …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 27–33 Read article
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Artificial Intelligence and Machine Learning Approaches for Corrosion Prediction and Management of Steel Reinforcement in Concrete: A Systematic Review
Abstract: Load bearing concrete structures need steel reinforcement bar (rebar), which are prone to attack by the corrosive environment inside the concrete due to constant ingress of moisture, pollutant gases and anions (mainly Cl−, SO42−). In recent models for the potential life span, the causes of failure of concrete structures have been established principally due to the chloride (Cl−) ion, because of the ease in transportation of Cl− in concrete and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Failed Component Image Acquisition Quality Optimization for Machine Vision System
Abstract: AbstractWith the rapid development of the global semiconductor industry, electronic products are required to have new ideas, diversified functions, and thinness and shortness. The ball grid array (BGA) packaging technique arranges solder balls in a matrix mode on the bottom of the component substrate, so as to increase the functional density. The dye stain test is extensively used for array component failure analysis; however, the operation takes time and extends …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 17–25 Read article
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A CASE STUDY ON FRUIT PEELING MACHINE
Abstract: The purpose of this research is to design and fabricate the orange peeling machine. In this machine, we place orange between holders horizontally and cutting tool moves linearly for peeling oranges. The machine parts which are contacting edible parts of orange are designed using stainless steel. This type of machine can be used for business work or household work.
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 21–24 Read article