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9 articles for “Automatic feeding machine”
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EffiFeed: Revolutionizing Cow Feeding with Automated Design and Fabrication
Abstract: Conventionally the feeding of the cattle is manual which is time consuming. In this project, automatic cattle feeding system is introduced where food feeder follows the path through a pre- determined distance and places the feed to the cattle by the side of the feed fence. The prototype is developed using Arduino circuit for the operation of feed mechanism with certain time space. The motors are interfaced to operate in …
Published in Trends in Machine design · Vol. 10, Issue 1, 2023 · pp. 32–39 Read article
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Automatic Ball Element Feed Mechanism for Ball Bearing Assembly
Abstract: Bearings are one of the mostly used machine parts. Their rolling motion makes mostly all movements easier and they help in reducing friction. Industries manufacture many types of bearings, each used for different purpose. Bearing manufacturing companies are mostly semi-automatic or automatic. Now days all bearing companies minimize the maximum establishing cost and running cost for their unit. For reduction of both costs they must choose best method and process …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 16–21 Read article
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Response Surface Approach of Optimization to study the Effects of Drilling Parameters in AISI-304 Stainless Steel
Abstract: The effect of cutting parameters specifically cutting speed, feed rate, drill depth and drill diameter during drilling of AISI-304 stainless steel material on automatic radial drilling machine (RM-62) at different level presents in this work. All the cutting parameters are modeled using response surface methodology (RSM). The impact of cutting speed, feed rate, drill depth and drill diameter on the machining time, average roughness and peak roughness is examined. Finally, …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 21–32 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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Design of Biped Robots: A Review
Abstract: Biped robots, inspired by the human’s kinematic structure, have seen remarkable evolution from early mechanical automata to today’s sophisticated machines capable of performing complex tasks. Their design aims to achieve efficient and stable movement on two legs. This paper examines the current advancements and historical progress in the development of bipedal robots. The authors investigate the implementation of these robots in various fields, like healthcare, entertainment, search and rescue operations, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 36–46 Read article
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Gob to pursue heat to mould – a study
Abstract: This article is the study of gob at hot state between molten glass pool and mould machine. The empirical description has modification from trial and error prosecution to suggest automated produce equipment. Feedback sensing loop from plunger feed at mould has data conversion ethic to shaped mass regulator equipment. Modification in the trajectory of flow line production has improved quality produce at minimized wear. Difference in composition-wise viscosity and heat …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 47–53 Read article
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Wind Forecasting Using Various Neural Networks in Machine Learning
Abstract: Wind Power Forecasting, as the name applies is a process in which data of past is used to tell what kind of output can be expected from a wind turbine in the foreseeable future. Machine learning, can be said to be a derivation of artificial intelligence that makes it possible for the system to learn automatically and improve upon itself from faults, without needing to tell the system to do …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 32–43 Read article
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Transcript Summarizer of YouTube Videos Using Deep Learning
Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article