EPH - International Journal of Science And Engineering https://ephjournal.org/index.php/se <p><strong> <span id="cell-1-name" class="gridCellContainer"> <span class="label"> EPH - International Journal of Science And Engineering (ISSN: 2454 - 2016)</span></span></strong> publishes a wide range of high quality research articles in the field (but not limited to) given below: Biology, Physics, Chemistry, Pharmacy, Zoology, Health sciences, Agriculture and Forestry, Environmental sciences, Mathematics, Statistics, Animal Science, Bio Technology, Medical Sciences, Geology, Social Sciences, Natural sciences, Political Science etc.<br><span style="font-size: 1.5em;"><strong> <span style="text-shadow: #ff6600 0px 0px 3px;">Current Impact Factor: 2.435</span></strong></span></p> en-US <ul> <li>All contributor(s) agree to transfer the copyright of this article to <strong>EPH Journal.</strong></li> <li><strong>EPH Journal</strong> will have all the rights to distribute, share, sell, modify this research article with proper reference of the contributors.&nbsp;</li> <li><strong>EPH Journal</strong> will have the right to edit or completely remove the published article on any misconduct happening.</li> </ul> editor@ephjournal.org (Naveen Malik) info@ephjournal.org (Jabbar Khan) Thu, 18 Aug 2022 06:22:52 +0000 OJS http://blogs.law.harvard.edu/tech/rss 60 ENHANCED REAL-TIME DETECTION OF FACE MASK WITH ALARM SYSTEM USING MOBILENETV2 https://ephjournal.org/index.php/se/article/view/1902 <p><em>To prevent the coronavirus from spreading, the government adopted measures such as wearing a face mask in public locations. The researchers aimed to create a face detection system using the MobilenetV2 architecture that would identify a person’s faces and determine whether they were wearing a face mask. The built model will help to reduce the danger of viral transmission. In this study, face mask detection is achieved using a machine learning algorithm and the classification method using MobileNetV2. The steps for building the model are data gathering, data pre-processing, splitting the data, testing the model, and implementing the model. The built model can distinguish between those who are wearing a face mask (with no design patterns) and those who are not wearing it with a 96% accuracy. In terms of classification accuracy, the proposed model using MobileNetV2 outperformed the other models LeNet-5, AlexNet, and ResNet-50. If the detected person is labeled with “no mask”, the system generates an alarm sound. This research will be useful in combating virus spread and avoiding virus contact.</em></p> Hajah Sueno, Christian Lloyd Amar, John Ronelo Menasalvas, Aaron Jake Candido, Cuburt Balanon Copyright (c) 2022 EPH - International Journal of Science And Engineering https://creativecommons.org/licenses/by-nc-nd/4.0 https://ephjournal.org/index.php/se/article/view/1902 Thu, 18 Aug 2022 00:00:00 +0000 GRADUATES’ EMPLOYABILITY AND SKILLS ACQUISITION: TRACER STUDY OF BSCS GRADUATES OF NOTRE DAME OF MARBEL UNIVERSITY FROM 1994 – 2019 FOR CURRICULUM ENHANCEMENT https://ephjournal.org/index.php/se/article/view/1903 <p><em>This tracer study determined the employment status of Bachelor of Computer Science (BSCS) Graduates of Notre Dame of Marbel University (NDMU) from 1994 - 2019. It also assessed the relevance of BSCS curricula, knowledge, skills, and work values acquired by the graduates relevant to their employment; identify the personal and professional characteristics and job placement of Computer Science graduates and the school-related factors associated with their employment. The findings of the study served as the basis for the researcher to improve, update or enhance the curricula of the BSCS program to make this more responsive to the needs of fast-changing technology. 111 survey participants were gainfully employed; the majority held professional, technical, or supervisory positions; they obtained their first jobs in less than a year; they stayed in their first jobs for more than a year; the main reasons they changed jobs were career challenges, salaries, and benefits. The respondents found that the critical thinking, interpersonal communication, and problem-solving abilities acquired by BSCS graduates were extremely helpful in their current jobs. The respondents considered the work-related values they learned in the university's value formations to be extremely helpful to their current employment. It is strongly recommended that the graduating students before graduation must be given ample time to experience pre-employment examinations and interviews. Faculty development training must be given to the faculty members teaching core subjects.</em></p> Hajah Sueno, Brenda M Balala Copyright (c) 2022 EPH - International Journal of Science And Engineering https://creativecommons.org/licenses/by-nc-nd/4.0 https://ephjournal.org/index.php/se/article/view/1903 Thu, 18 Aug 2022 00:00:00 +0000