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52 articles for “Feasibility predicate”
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An Algorithm to Test Feasibility Predicate for Robotic Assemblies
Abstract: Selection of a feasible assembly sequence is an essential element to achieve cost effective manufacturing process. Test for feasibility predicate is a key segment in assembly sequence planning, which is generally carried by a skilled industrial engineer. The feasibility predicate test is involved in checking possibility of disassembling a component from the assembled product through a collision free path. To attain economic assembly process, the feasibility predicate test must also …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 11–16 Read article
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An Algorithm to Test Feasibility Predicate for Robotic Assemblies
Abstract: Selection of a feasible assembly sequence is an essential element to achieve cost effective manufacturing process. Test for feasibility predicate is a key segment in assembly sequence planning, which is generally carried by a skilled industrial engineer. The feasibility predicate test is involved in checking possibility of disassembling a component from the assembled product through a collision free path. To attain economic assembly process, the feasibility predicate test must also …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 11–16 Read article
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Prediction of Various Optimal Solutions for Desirable Performance Parameter of Non-edible Oils-based Biodiesel
Abstract: The use of energy has expanded a ton by virtue of the modification in the way of life with the progression of masses. This consistent expansion of energy request began the states of the fossil oil deficiency, regular effects for example nursery impact, an Earth-wide temperature boost and so on. Oil based products are restricted assets of energy; from now on, it is must to look for an elective asset …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 1, 2024 · pp. 25–29 Read article
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article
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Engine Performance Analysis of Cottonseed Based Biodiesel Using Design Expert Statistical Based Tool
Abstract: Biodiesel is a biofuel acquired by substance forms from vegetable oils or creature fats and liquor that can be utilized in diesel engines alone or mixed with diesel oil. It is characterized as the mono-alkyl esters of unsaturated fats got from vegetable oils or creature fats. In basic words biodiesel is the item that gotten when vegetable oil or creature fat is artificially responded with a liquor to deliver unsaturated …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Solid Self Nanoemulsifying Tablets: Statistical Optimization by 23 Factorial Designs
Abstract: The objective of the current research was to enhance the solubility of poorly water soluble drug i.e. atorvastatin calcium, by self nanoemulsifying drug delivery system (SES) and formulating it as tablets using 23 factorial designs. The prepared liquid SES were adsorbed onto aerosil which acts as carrier. The 23 factorial designs were employed to optimize the concentration of micro-crystalline cellulose, PVP and sodium starch glycollate. The observed values were in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 4, Issue 2, 2017 · pp. 1–7 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Analysis of Wind-wave Effect on Short-term FOWT Power Loss
Abstract: The paper analyses the effects of wind misalignment, wave oscillatory movement and wind-wave misalignment onto the performance of floating offshore wind turbines (FOWT) and how they affect the power generation. The study focuses on short term prediction to match network requirements for electric energy management avoiding overloads or consumers demand mismatching. The research studies individual as well as combined effects to determine the reduction in power generation due to these …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 3, 2021 · pp. 36–54 Read article
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Machine Learning Regression Based Approach for Prediction of the Ultimate Tensile Strength of Tungsten Inert Gas Welded Joints
Abstract: Many leaders in technology education have shown that the main difference between the technical design process and the process of engineering construction analysis and efficiency [1–3]. The engineering analysis phase of the construction process is where the mathematical and scientific models principles are used to help the designer predict the design results. The engineering feasibility phase process is a systematic process that uses structural elements and conditions to allow the …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 1–10 Read article
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Performance, Combustion and Emission analysis of Sunflower oil based Biodiesel using Non-Dominated Sorting Genetic Algorithm-II
Abstract: Biodiesel is used as alternate fuel of I. C. Engines for so many years. It is obtained from various edible and non-edible oils including waste cooking oils through trans-esterification process in the presence of catalyst. The suitable amount of biodiesel mix with commercial diesel can be used to run the compression ignition engines. The optimum combination of engine input parameters is the challenging task as required by the design engineer …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Impact of Layer Height and Infill Line Orientation On 3D Printed Components Produced Via Additive Manufacturing
Abstract: Additive Manufacturing (AM) is an extrusion-based technique used to create objects by extruding semi-molten material through a nozzle of specific dimensions. Materials like acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), polycarbonate (PC), and others are commonly employed in this process to manufacture industrial components. The mechanical properties of engineering component are critical for various industrial applications. This study investigates the impact of additive manufacturing on fabrication, considering different process parameters. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 315–323 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Hand Gesture Detections Using a Force Myography-Based on Wearable Wrist Strap
Abstract: We are familiar with gestures as a nonverbal form of communication and often use it during heated discussions. In this digital word of human-machine interactions, hand gesture is emerged as promising method of interaction. For this interactions, developing a control system for sensing hand gestures would be a primary objective. In this research paper we will be discussing one of such simple yet efficient hand grip and gesture detection method …
Published in Current Trends in Signal Processing · Vol. 11, Issue 2, 2021 · pp. 1–9 Read article
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Analyzing the Influence of Soil-Structure Interaction on High-Speed Rail Embankments: A Plaxis 3D Simulation Study
Abstract: The introduction of high-speed rail (HSR) in India has seen an increase in travel demand and areduction in travel time. However, the stability and deformation characteristics of railwayembankments and soil structure interaction behavior under high-speed design requirements forIndian soil conditions need to be predicted using simplified 3-D finite element modelling. Theobjective of this research is to analyze the rigid ballast-less and flexible ballast-based high-speed railtrack embankments for various critical conditions …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 18–45 Read article
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AI – Driven Smart Laboratory for Synthetic Organic Chemistry – A Literature Review
Abstract: The traditional chemistry laboratory is often subjective, time consuming and skill intensive that may lead to inconsistencies in the desired results. The advent of Artificial Intelligence (AI) and its speedy incorporation into the field of chemistry is transforming traditional synthetic laboratories into intelligent, automated systems that combine hardware, software and AI into a unified framework. This paper presents a comprehensive overview of AI – driven laboratory setup for organic synthesis, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Thermal Stress Analysis of Neck Tube into Vertical Cryogenic Insulated Cylinders using ANSYS Software: A Review
Abstract: Materials have a significant impact on the progress of one discipline, cryogenics. Technologies based on cryogenics are used in many different fields, including metallurgy, chemistry, the electricity sector, medicine, rocket propulsion, space simulation, food processing via refrigeration, and many more. The current status of research and anticipated advancements in the field of cryogenic materials throughout the coming century cover a wide range of topics. We quickly review the background of …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 26–30 Read article
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House Price Prediction Using Linear Regression In Machine Learning
Abstract: In the modern world, real estate is among the most important investments, particularly in a city like Chennai, which is where many people aspire to work and settle down. Due to people's high purchasing power, this will cause property prices to rise daily. When purchasing a home, buyers will consider whether or not it will yield a healthy profit margin. Hence, before spending your hard-earned money on any property, it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 92–100 Read article
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Hidden Gems of Dragon Fruit: Its Role in Pharmacognosy and Therapeutics
Abstract: The Cactaceae family includes the medicinal plant Hylocereus spp., also known as dragon fruit. The skin’s unique morphology, which reflects the body’s oval form, is characteristic of dragon fruit. Dry conditions are ideal for dragon fruit growth. Dragon fruit, also known as pitaya, is a fantastic functional food that has attracted attention recently due to its numerous therapeutic benefits, including antioxidant, anti-cancer, anti-diabetic, anti-microbial, hepatoprotective, and anti-hyperlipidemic properties. It also …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 92–101 Read article