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Development of a novel open platform controller machining module for 3-Axis CNC milling machine
No full textCNC machines have gone through tremendous upgrades along the years. However, conventional CNC machines could not find its place in the new era of machining due to its limitation in compatibility, language difference and control has caused increase in terms of repurchase cost, reinstallations, reconfigurations and also training. This paper covers the system which has been designed and developed from outdated and conventional PROLIGHT 1000 Milling CNC machine from Light Intelitek which further discussed in detail based upon upgrades of hardware, architecture, and algorithm design. Based on the system and software developed, there are several interfaces for the software classified based on different information needed and explained in the paper. Then, the flow process of using the application will be explained along with the data to be inputted, function of buttons and other features. The designed system software is established as UTHM Open CNC Controller (UOCC) under the ISO 14649 of STEP-NC environment
The relationship between work environment and work engagement on the west coast of Peninsular Malaysia
No full textThe study aims to investigate the relationship between the work environment and work engagement at one multinational company on the west coast of Peninsular Malaysia. The work environment was measured by Work Environment Scale (Billing and Moos, 1982) and work engagement was assessed by Utrecht Work Engagement Scale (UWES) (Schaufeli and Bakker, 2003). A total of 103 employees from the customer relations department of the multinational company have been chosen as the respondents in this research. Structural equation modelling using SmartPLS has been adopted to analyze the collected data. The results reveal that the level of the work environment is at moderate while work engagement is at high. The findings from SmartPLS discover that there is a significant and positive relationship between the work environment and work engagement at the multinational company on the west coast of Peninsular Malaysia. A few recommendations were suggested such as the company can improve the low level of relationship dimension in the work environment by initiating team-based projects rather than individual-based projects. Suggestions were also provided for future research including combining the quantitative and qualitative approaches in conducting the research
Fresnel lens defect classification using deep learning technique
No full textPlastic injection molded Fresnel lens is one of the important components for illumination in smart devices. To perform inspection on this type of optical component is challenging for machine vision due to the presence of groove pattern and texture. This paper discusses the limitation of classical image analysis for defect inspection and proposes a Deep Convolutional Neural Network (CNN) with Transfer Learning for defect classification. This paper also presents a Hybrid CycleGAN and geometric augmentation to expand image dataset for model training
Sperm-cell detection using YOLOv5 architecture
No full textInfertility has become a severe health issue in recent years. Sperm morphology, sperm motility, and sperm density are the most critical factors in male infertility. As a result, sperm motility, density, and morphology are examined in semen analysis carried out by laboratory professionals. However, applying a subjective analysis based on laboratory observation is easy to make a mistake. To reduce the effect of specialists in semen analysis, a computer-aided sperm count estimation approach is proposed in this work. The quantity of active sperm in the semen is determined using object detection methods focusing on sperm motility. The proposed strategy was tested using data from the Visem dataset provided by Association for Computing Machinery. We created a small sample custom dataset to prove that our network will be able to detect sperms in images. The best not-super tuned result is mAP 72.15
Development of creativity instrument for technicaleducation and vocational training students
No full textThe purpose of this study is to develop an instrument of student creativity element by exploring creativity constructs for the formation of TVET student creativity instrument. The absence of creativity research affects Institutions of Higher Learning (HEIs) in improving the employability of graduates and preparing students for the workplace in an ever-changing industry.This study uses a qualitative approach through interviews as a case study method. The qualitative data analysis process was based on 3 stages of data processing by Miles and Huberman (1994) and NVIVO 12 Plus software was used to analyze the interview transcripts to form themes and subthemes. The qualitative data analysis identified eight elements related to the relevant elements of creativity, namely: intelligence, knowledge, thinking style, personality, motivation, environment, generic/soft skills, and mind mechanisms. Of the 8 constructs that emerged, they formed 24 dimensions. The implication of this study is to identify the elements needed to enhance the creativity of TVET students from the experts' point of view. Further study is to use survey method to see the level of creativity of TVET students by using the instruments that have been produced
Anti-obfuscation techniques: Recent analysis of malware detection
No full textOne of the challenging issues in detecting the malware is that modern stealthy malware prefers to stay hidden during their attacks on our devices and be obfuscated. They can evade antivirus scanners or other malware analysis tools and might attempt to thwart modern detection, including altering the file attributes or performing the action under the pretense of authorized services. Therefore, it's crucial to understand and analyze how malware implements obfuscation techniques to curb these concerns. This paper is dedicated to presenting an analysis of anti-obfuscation techniques for malware detection. Furthermore, an empirical analysis of the performance evaluation of malware detection using machine learning algorithms and the obfuscation techniques was conducted to address the associated issues that might help researchers plan and generate an efficient algorithm for malware detection
SDS–Aluminum Oxide nanofluid for enhanced oil recovery: IFT, adsorption, and oil displacement efficiency
No full textSurfactant flooding is one of the most promising chemical enhanced oil recovery (CEOR) methods to produce residual oil in reservoirs. Recently, nanoparticles (NPs) have attracted extensive attention because of their significant characteristics and capabilities to improve oil recovery. The aim of this study is to scrutinize the synergistic effect of sodium dodecyl sulfate (SDS) as an anionic surfactant and aluminum oxide (Al2O3) on the efficiency of surfactant flooding. Extensive series of interfacial tension and surfactant adsorption measurements were conducted at different concentrations of SDS and Al2O3NPs. Furthermore, different surfactant adsorption isotherm models were fitted to the experimental data, and constants for each model were calculated. Additionally, oil displacement tests were performed at 25 °C and atmospheric pressure to indicate the suitability of SDS-Al2O3for CEOR. Analysis of this study shows that the interfacial tension (IFT) reduction between aqueous phase and crude oil is enhanced considerably by 76%, and the adsorption density of SDS onto sandstone rock is decreased remarkably from 1.76 to 0.49 mg/g in the presence of these NPs. Although the effectiveness of NPs gradually increases with the increase of their concentration, there is an optimal value of Al2O3NP concentration. Moreover, oil recovery was increased from 48.96 to 64.14% by adding 0.3 wt % NPs to the surfactant solution, which demonstrates the competency of SDS-Al2O3nanofluids for CEOR
Applicability of electronic administrative contract: analysis from islamic (law) shari’ah perspective
No full textA new type of contract accompanied the emergence of the information revolution in communication technology concluded using advanced and modern electronic media, foremost of which is the internet. The developments in communication technology have increased and facilitated trading worldwide and contributed to electronic contracts' appearance. This paper aims to analyze the concept and the applicability of electronic administrative contracts from the islamic law of contract perspectives (shari'ah). Therefore, certain restricted requirements and conditions have been discussed in this article to protect and provide evidence to the electronic contract's users. It then considers the legitimacy of electronic administrative contracts, whether it complies with those specified requirements based on islamic law
Intelligent optimization of novel particle swarm optimization with explorer (PSOE) for identification of flexible manipulator system
No full textFlexible manipulator is widely used in robotics and mechanical systems. Its application have led to the development of systems which are lighter, less bulky, and provides greater system flexibility. However, the flexible manipulator has one drawback. It develops unwanted vibration during operation which reduced the efficiency of the flexible manipulator systems for accurate positioning requirements. Therefore, an intelligent optimizer, the Particle Swarm Optimization with Explorer (PSOE) was developed to model this highly non-linear and complex system. Initially, an experimental setup for the flexible manipulator was developed. Experimental input output data were acquired including hub angle and endpoint acceleration to fed into system identification method. Next, optimization was done using the proposed PSOE as compared to a standard Particle Swarm Optimization (PSO) algorithm via linear auto regressive with exogenous (ARX) model structure. Validations of the algorithms were attained on the basis of minimizing the value of mean-squared error (MSE) and correlation tests. The superiority of the added ‘explorer’ to the algorithm was confirmed as PSOE obtained the lowest MSE value of 2.8232 × 10–5 and 3.7364 × 10–7 for end-point acceleration and hub angle modelling, respectively. Both modelling also achieved good correlation values within the 95% confidence interval. Results obtained can be adapted for further analysis in implementing an active vibration control for flexible manipulator systems
The success factors of technology transfer and firm performance of SMES in Malaysia
No full textTechnology Transfer (TT) is a development of innovation, technology application, technology or knowledge developed in another organization. The interaction between universities and enterprises stems from the need of the manufacturing sector to develop new technologies, products or processes or even to transmit from one university to another an adequately mature invention that is one way of interacting. The purpose of carrying out this research is to identify success factors for University – SMEs TT that influence sustainable performance of SMEs; to study the relationship of promotions, relationship, protection and prior experience of University – SMEs and their SMEs sustainable performance, and to develop the conceptual framework for the research efforts