The transmission lines are important links in the power system. it carries a large amount of power from a remote distance sending the end to the distribution substation. During this, there are chances of various faults on it. So, early-stage fault identification is essential for a reliable power transfer. this paper implements a high-impedance fault identification technique based on the Hilbert-Huang transform (HHT). The signals of various fault conditions such as LL, LG, and LLL are captured and fourteen statistical parameters are calculated, from these signal features extracted using HT are given as input to ANN for the determination of fault type. The highest result of 96.3 per cent was obtained after changing the training and testing data, various Epochs, and percentage validations. The proposed HHT-based fault detection technique is confirmed on MATLAB Simulink.

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The cafeteria serves as a common area where individuals affiliated with the university, such as students, lecturers, guests, and staff, typically engage in activities such as dining, drinking, and resting either individually or in groups. In the case of the Department of Architecture at Diponegoro University, changes in campus regulations led to the relocation of the cafeteria, resulting in various challenges related to user circulation and impacting the overall efficiency of the space. To address these issues, a research initiative was undertaken to examine user behavior patterns with respect to the arrangement of furniture in the cafeteria. This study represents a post-occupancy evaluation aimed at generating......

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Defined as the development of computer systems that can perform diverse tasks that typically require human intelligence, Artificial Intelligence (AI) whose tasks encompass a wide range of activities such as learning, reasoning, problem-solving, perception, and language understanding has emerged as a transformative force that revolutionizes various aspects of human life, industry, and technology. This article explores the burgeoning landscape of AI applications in manufacturing, delving into the myriad ways in which these technologies are transforming the industry, which include automation in manufacturing processes, predictive maintenance, quality control, robotic process automation, supply chain optimization.........

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