Proceedings of Engineering and Technology Innovation 2022-04-25T07:08:36+00:00 The editorial office Open Journal Systems <p><strong><em>Proceedings of Engineering and Technology Innovation</em></strong> (PETI), ISSN 2518-833X (Online), ISSN 2413-7146 (Print), is an international, multidiscipline, open access, peer-reviewed scholarly journal, and dedicated to providing a fast publishing platform for researchers, developers, technical managers, and educators in the field of technology innovation. The officially abbreviated title is <em><strong>Proc. eng. technol. innov.</strong></em> It is published by Taiwan Association of Engineering and Technology Innovation. Currently, there is<em><strong> no any charge</strong></em> for submission and publication of the papers submitted to PETI. You are invited to submit your works to the journal.</p> <p>PETI is indexed by:</p> <p><img src="/public/site/images/allen/DOAJ-small2.png">&nbsp;<img src="" alt="">&nbsp;&nbsp; <img src="" alt="">&nbsp;&nbsp; <img src="" width="74" height="35">&nbsp;&nbsp; <img src="" alt="">&nbsp;&nbsp;<img src="" alt="">&nbsp;&nbsp;<img src=""> <img src="" alt=""> &nbsp;<img src="/public/site/images/allen/Publons-22.5_1.png"> &nbsp; <img src="/public/site/images/allen/crossref3.png" width="92" height="42"></p> <p>Under evaluation of SCI(E), Scopus, Compendix(EI), INSPEC, etc.</p> <p>&nbsp;</p> Application of AI Face Recognition Technology in Swipe Card Attendance Systems for Hospitals 2022-04-25T07:08:36+00:00 Te-Kwei Wang Yu-Hsun Lin Kai-Ping Li <p>Traditional swipe card attendance systems for hospitals cannot effectively protect employees’ personal information and ensure that the employees are swiping their own cards. To solve the problem, the present study proposes a novel hospital swipe card attendance system using an artificial intelligence (AI) face modeling system with an open-source face database. The proposed system employs a multi-task cascaded convolutional network (MTCNN) algorithm and FaceNet to improve the performance of face recognition. The system can compare the face of the one who swipes a card with the faces of cardholders in the database, thereby preventing the one from clocking in on behalf of others. The results show that the application of AI technology in the hospital swipe card attendance system can realize the promise of protecting employees’ personal information and verifying employees’ identities.</p> 2022-04-22T00:00:00+00:00 Copyright (c) 2022 Te-Kwei Wang, Yu-Hsun Lin, Kai-Ping Li A Solar Energy Harvester for a Wireless Sensor System toward Environmental Monitoring 2022-04-25T07:08:36+00:00 Saeed Mohsen <p>Harmful environments can cause severe health problems to individuals. Thus, this study proposes a solar-powered wireless sensor system to monitor the physical parameters of an ambient environment in real-time. This system is developed based on two sensors and a NodeMCU board that includes a microcontroller with a Wi-Fi chip. This system is built to measure the ambient temperature, relative humidity, atmospheric pressure, and ultraviolet (UV) index. The power supply of the system is a solar energy harvester, which consists of a solar cell, a DC-DC converter, and a rechargeable battery. This harvester is practically tested outdoors under direct sunlight. The proposed system experimentally consumes an average power of 40 mW over one hour, and the lifetime of this system is 123 hours in the active-sleep mode. The results demonstrate that the system can sustainably operate for monitoring the environmental data.</p> 2022-04-22T00:00:00+00:00 Copyright (c) 2022 Saeed Mohsen Evaluation of the Shapley Additive Explanation Technique for Ensemble Learning Methods 2022-04-25T07:08:36+00:00 Tsehay Admassu Assegie <p>This study aims to explore the effectiveness of the Shapley additive explanation (SHAP) technique in developing a transparent, interpretable, and explainable ensemble method for heart disease diagnosis using random forest algorithms. Firstly, the features with high impact on the heart disease prediction are selected by SHAP using 1025 heart disease datasets, obtained from a publicly available Kaggle data repository. After that, the features which have the greatest influence on the heart disease prediction are used to develop an interpretable ensemble learning model to automate the heart disease diagnosis by employing the SHAP technique. Finally, the performance of the developed model is evaluated. The SHAP values are used to obtain better performance of heart disease diagnosis. The experimental result shows that 100% prediction accuracy is achieved with the developed model. In addition, the experiment shows that age, chest pain, and maximum heart rate have positive impact on the prediction outcome.</p> 2022-04-22T00:00:00+00:00 Copyright (c) 2022 Tsehay Admassu Assegie Development of Non-Contact Real-Time Monitoring System for Animal Body Temperature 2022-04-25T07:08:36+00:00 Kuo-Hsiung Tseng Meng-Yun Chung Wei-Hong Jhou Wei-Jer Chang Chen-Han Xie <p>Body temperature is an important indicator of health monitoring. However, since animals are covered with fur, it is difficult to obtain their accurate body temperature with the traditional infrared measurement technology. To deal with this problem, this research proposes a non-contact real-time monitoring system using an infrared method combined with object detection. The system is developed based on general infrared thermal imaging technology and an infrared thermal imaging module with an image tracking algorithm. YOLO is used to detect animals, and a thermal imaging camera is used to measure the body surface temperature of animals. The result shows that the proposed system can accurately measure the body temperature of animals without being influenced by animals’ fur. In the future, it can be applied to monitor the body temperature of sick animals in veterinary hospitals.</p> 2022-04-22T00:00:00+00:00 Copyright (c) 2022 Kuo-Hsiung Tseng, Meng-Yun Chung, Wei-Hong Jhou, Wei-Jer Chang, Chen-Han Xie Modified Digital Correlation Technique for Accurate Phase Measurement in Multi-Frequency Bio-Impedance Analysis 2022-04-25T07:08:36+00:00 Sruthi S Rasika Dhavse Jignesh Sarvaiya <p>In bio-impedance analysis (BIA), high-frequency low-amplitude alternating current (AC) signals can incur time delays due to the capacitive nature of human cell membranes, and the characteristics of human tissues can be assessed from these delays in terms of phase changes. To accurately measure the phase changes, this work proposes a modified digital correlation-based phase measurement method. The accuracy of the general correlation technique is improved through digital direct synthesis (DDS) and digital correlation of unipolar square input signals. The proposed method is established through memory management and frequency adjustment. The result shows that, compared to the existing methods, the proposed method needs fewer hardware components, has better accuracy of 0.2° and higher frequency compatibility from 5 kHz to 1 MHz, and requires lower cost (140 USD). The method can be applied for the BIA of all types of tissues (recently used in COVID detection and care) and for the applications where efficient phase measurement is required.</p> 2022-04-22T00:00:00+00:00 Copyright (c) 2021 Sruthi S., Rasika Dhavse, Jignesh Sarvaiya Seismic Vulnerability Assessment for Various Shapes and Types of Reinforced Concrete Shear Walls in Multi-Storey Buildings 2022-04-25T07:08:36+00:00 Chittaranjan Birabar Nayak Umesh Tukaram Jagadale Sunil Bhimro Thakare Nagesh Tatoba Suryawanshi Gunavant Kashinath Kate Wasudeo Narayanrao Deulkar <p>To improve the lateral stiffness and economy, reinforced concrete shear walls are introduced in buildings. This study aims to conduct the seismic assessment of shear walls in a multi-storey building. In this work, various factors are investigated and their performance is compared for various shapes and types of shear walls with respect to strength, displacement, time period, etc. The building considered for the study purpose is a G+12 residential building and is situated in a high seismic zone. The response spectrum analysis of the building is carried out by using the software ETABS. The results show that shear walls not only reduce the seismic forces in a building, but also are advantageous if they are situated in proper positions.</p> 2022-04-22T00:00:00+00:00 Copyright (c) 2022 Chittaranjan Birabar Nayak, Umesh Tukaram Jagadale, Sunil Bhimro Thakare, Nagesh Tatoba Suryawanshi, Gunavant Kashinath Kate, Wasudeo Narayanrao Deulkar