https://journaljerr.com/index.php/JERR/issue/feed Journal of Engineering Research and Reports 2020-09-23T17:53:36+00:00 Journal of Engineering Research and Reports contact@journaljerr.com Open Journal Systems <p style="text-align: justify;"><strong>Journal of Engineering Research and Reports</strong>&nbsp;<strong>(ISSN: 2582-2926)</strong> aims to publish high-quality papers in all areas&nbsp;of engineering.&nbsp;The journal also encourages the submission of useful reports of negative results. This is a quality controlled,&nbsp;OPEN&nbsp;peer-reviewed, open access INTERNATIONAL journal.</p> https://journaljerr.com/index.php/JERR/article/view/17178 Upgrading Die Attach Machine Capability for Micro Electromechanical Systems Package 2020-09-22T05:26:20+00:00 Michael D. Capili Michael.capili@st.com <p>The paper discussed the study and challenges of the Die Attach process, the critical characteristics of the product structure and the demand for the MEMS product. Upgrading the current machine mechanical and software to improve the machine's capabilities and overcome the criticality of the product structure, such as; 30 microns Die Placement accuracy, can process Wafer with dual Die Orientation 0 and 180 degrees, capable of detecting incorrect die orientation and finally can process thin substrate with 130 microns thickness. After machine upgrades, statistical validation using Two Proportion tests was used to help validate the machine's performance efficiently. The new upgraded machine has the same capability and performance as the new die attach machine model, therefore the upgrade and enhancement on the old model Die Attach machine are effective and efficient.</p> 2020-09-22T00:00:00+00:00 ##submission.copyrightStatement## https://journaljerr.com/index.php/JERR/article/view/17177 Development of a Wireless Sensor Network (WSN) Based Energy Efficient Cattle Monitoring System 2020-09-23T17:53:36+00:00 A. A. Ijah aadoga2@gmail.com O. W. Bolaji O. O. Adedire J. Z. Emmanuel N. E. Onwuegbunam T. A. Awobona J. A. Ogunsanwo M. S. Likita <p>This study shows how to monitor the movement of cattle using wireless sensor nodes powered by a renewable energy source capable of detecting location. Performance analysis was carried out on the energy consumption pattern of the nodes which indicated that throughout the monitoring period, the average energy consumed by the nodes was thus; master node 6450 joules, node one 1680 joules, node two 1656 joules, node three 1676 joules, node four 1656 joules. The rate of energy consumption was sustained by the renewable energy source. It was equally observed that energy consumption increased depending on how often query was sent and how often the conditions of monitoring was violated. This is to guarantee that information about cattle location gets to the base without delay due to battery failure which has been a major challenge faced with the current existing systems in tackling cattle rustling.</p> 2020-09-17T00:00:00+00:00 ##submission.copyrightStatement##