https://journals.mmupress.com/index.php/jetap/issue/feed Journal of Engineering Technology and Applied Physics 2020-12-15T00:00:00+08:00 Ah Heng You ahyou@mmu.edu.my Open Journal Systems <p><strong>Journal of Engineering Technology and Applied Physics (JETAP)</strong> is an online peer-reviewed research journal aiming to promote the original high quality experimental and/or theoretical research in all disciplines of engineering, technology and applied physics. It publishes two times a year in electronic form.</p> <p>Subject areas suitable for publication include but are not limited to the following fields:</p> <p>Electronic &amp; Electrical engineering, Mechanical engineering, Nano engineering, Modeling &amp; Simulations, Materials Science, Applied Physics, Information Technology etc.</p> <p><img style="width: 150px;" src="https://journals.mmupress.com/resources/myjurnal-logo.png" alt="" width="200" height="47" /></p> <p> </p> https://journals.mmupress.com/index.php/jetap/article/view/97 No. 1 Spatial Temporal Anisotropic Transport of the Microalgae Chlorella Vulgaris in the Microfluidic Channel 2020-12-11T16:36:55+08:00 Nur Izzati ishak izzatiishak91@gmail.com S.V.Muniandy izzatiishak91@gmail.com <p>Transport of biomaterials in confined geometry exhibit complex dynamics, both in spatial and temporal scales. In this work, we examined the transport behavior of microalgae <em>Chlorella Vulgaris</em> inside the microfluidic channel under pressure-driven Poiseuille flow environment. The microalgae system is treated as the spherical naturally buoyant particles. The algae particles trajectories are visually traced using particle imaging techniques and the sample paths are resolved in streamwise (flow) and perpendicular directions. In order to understand boundary wall effects on the flow, we partitioned the microfluidic channel into three different regions, namely the center region and two near-wall boundary regions based on the velocity flow profile. Time-averaged mean square displacement (MSD), probability density function (PDF), skewness, and kurtosis of finite ensembles of particle trajectories are determined for these regions. In addition to the spatial dependencies, we also examined the transient characteristics of the algae transport at early-time and long-time. We found the existence of the mixed types for transport dynamics irrespective of flow region separation often assumed in many laminar flow simulations. This finding will be useful for optimization of mixing of algae culture in micro-scale photobioreactor as the productivity of cell growth depends critically on the cell dispersion or transport.</p> 2020-12-15T00:00:00+08:00 Copyright (c) 2020 Journal of Engineering Technology and Applied Physics https://journals.mmupress.com/index.php/jetap/article/view/98 No. 2 An FPGA based Real-Time Multi-Target Synthetic Aperture Radar Echoes Synthesizer 2020-12-11T16:51:06+08:00 Chua Ming Yam mychua@mmu.edu.my Koo Voon Chet mychua@mmu.edu.my Lim Heng Siong mychua@mmu.edu.my Chan Yee Kit mychua@mmu.edu.my <p>This paper proposes a technique for synthesizing multiple point target scatterer Synthetic Aperture Radar (SAR) echoes in real-time. Traditional approaches require high computation resources to calculate the complex SAR echoes due to its complex mathematical model. The proposed technique employs the low computation Direct Digital Synthesis (DDS) approach to generate these complex sinusoid echoes. The proposed Synthetic Aperture Radar Echoes Synthesizer (SAR-ES) is capable of synthesizing SAR echoes accurately in real-time and was built in a Field Programmable Gate Array (FPGA) platform. The system can be used as a testbed to validate and evaluate the performance of a real-time SAR processing algorithms/system prior to the actual flight mission. This could help in reducing the frequency of flight trials and to reduce the SAR system development risk especially for satellite-borne SAR system.</p> 2020-12-15T00:00:00+08:00 Copyright (c) 2020 Journal of Engineering Technology and Applied Physics https://journals.mmupress.com/index.php/jetap/article/view/99 No. 3 VHDL Modelling of Low-Cost Memory Fault Detection Tester 2020-12-11T17:03:46+08:00 Quek Wei Chun wlpang@mmu.edu.my Pang Wai Leong wlpang@mmu.edu.my Chan Kah Yoong wlpang@mmu.edu.my Lee It Ee wlpang@mmu.edu.my Chung Gwo Chin wlpang@mmu.edu.my <p>Memory modules are widely used in varies kind of electronics system design. The capacity of the memory modules has increased rapidly since the past few years in order to satisfy the high demand from the end-users. The memory modules’ manufacturers demand more units of automatic test equipment (ATE) to increase the production rate. However, the existing ATE used in the industry to carry out the memory testing is too costly (at least a million dollars per ATE tester). The low-cost memory testers are urgently needed to increase the production rate of the memory module. This has inspired us to design a low-cost memory tester. A low-cost memory fault detection tester with all the major fault detection algorithms that used in industry is modelled using Very High Speed Integrated Circuit Hardware Description Language (VHDL) in this paper to support the need of the low-cost ATE memory tester. The fault detection algorithms modelled are MATS+ (Modified Algorithm Test Sequence), MATS++, March C, March C-, March X, March Y, zero-one and checkerboard scan tests. PERL program is used to analyse the simulation results and a log file will be generated at the end of the memory test. Extensive simulation and experimental test results show that the memory tester modelled covers all the memory test algorithms used in the industry. The low-cost memory fault detection tester designed provides the 100 % fault detection coverage for all memory defects.</p> 2020-12-15T00:00:00+08:00 Copyright (c) 2020 Journal of Engineering Technology and Applied Physics https://journals.mmupress.com/index.php/jetap/article/view/100 No. 4 Study of Temperature Measurement Accuracy by Using Different Mounting Adhesives 2020-12-11T17:12:52+08:00 Jeevan Kanesalingam jeevan.kanesalingam@motorolasolutions.com See Fung Lee jeevan.kanesalingam@motorolasolutions.com Hock Guan Ho jeevan.kanesalingam@motorolasolutions.com <p>Thermal compounds are adhesive used to improve heat conduction between two surfaces. It can be used to secure a thermocouple to a surface which the temperature is being measured. This paper studies the temperature accuracy when using different types of thermal adhesives to secure thermocouples to a metal surface. An aluminum block attached to heater resistors was heated up by supplying varying power levels to create different temperatures. The measured temperature is compared to a reference thermocouple in the aluminum block to check the accuracy of each thermocouple when it is secured with different adhesives. It was found using the Loctite 3873 to secure a thermocouple to a metal surface will produce the most accurate temperature reading with an error below 2.6<sup>o</sup>C. This enables researchers to use the appropriate adhesive to obtain the most accurate results and also to know what are the errors contributed by different adhesives.</p> <p> </p> 2020-12-15T00:00:00+08:00 Copyright (c) 2020 Journal of Engineering Technology and Applied Physics https://journals.mmupress.com/index.php/jetap/article/view/101 No. 5 Convolutional Neural Network-based Transfer Learning and Classification of Visual Contents for Film Censorship 2020-12-11T17:25:34+08:00 Hor Sui Lyn sarina.mansor@mmu.edu.my Sarina Mansor sarina.mansor@mmu.edu.my Nouar AlDahoul sarina.mansor@mmu.edu.my Hezerul Abdul Karim sarina.mansor@mmu.edu.my <p>Content filtering is gaining popularity due to easy exposure of explicit visual contents to the public. Excessive exposure of inappropriate visual contents can cause devastating effects such as the growth of improper mindset and rise of societal issues such as free sex, child abandonment and rape cases. At present, most of the broadcasting media sites are hiring censorship editors to label graphic contents manually. Nevertheless, the efficiency is limited by factors such as the attention span of humans and the training required for the editors. This paper proposes to study the effect of usage of Convolutional Neural Network (CNN) as feature extractor coupled with Support Vector Machine (SVM) as classifier in an automated pornographic detection system. Three CNN architectures: MobileNet, Visual Geometry Group-19 (VGG-19) and Residual Network-50 Version 2 (ResNet50_V2), and two classifiers: CNN and SVM were utilized to explore the combination that produce the best result. Frames of films fed as input into the CNN were classified into two groups: porn or non-porn. The best accuracy was 92.80 % obtained using fine-tuned ResNet50_V2 as feature extractor and SVM as classifier. Transfer learning and SVM have improved the CNN model by approximately 10 %.</p> 2020-12-15T00:00:00+08:00 Copyright (c) 2020 Journal of Engineering Technology and Applied Physics https://journals.mmupress.com/index.php/jetap/article/view/102 No. 6 Investigation of MEH-PPV OLED Assisted by An IoT Environment Monitoring System 2020-12-11T17:58:35+08:00 Ibrahim Attia seongshan@gmail.com Guang Liang Ong seongshan@gmail.com Teng Sian Ong seongshan@gmail.com Chen Hon Nee seongshan@gmail.com Seong Shan Yap seongshan@gmail.com <p>Single layer organic light emitting diode (OLED) devices based on poly{[2-methoxy-5-(-2ethylhexyloxy)-1,4-phenylene]vinylene} (MEH-PPV) are fabricated and studied in this work. There are several factors that affect the performance of the fabricated OLED samples. Some of these factors are related to the fabrication parameters chosen for the OLED fabrication process. The effect of concentration and annealing temperature are investigated. Other environmental factors such as humidity or temperature affect the performance of fabricated OLED samples under long term exposure. An internet of things environment monitoring system (IoT-EMS) is developed to monitor and study the effect of these factors on the performance of the OLED samples. Exposure to humidity is found to severely degrade the samples. In summary, the optimum concentration for MEH-PPV is concluded to be 4 mg/ml, and the best annealing temperature is 90°C in this study. It is also deduced that humidity of 72-75 % caused degradation of the samples in less than 20 hours.</p> 2020-12-15T00:00:00+08:00 Copyright (c) 2020 Journal of Engineering Technology and Applied Physics