Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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    2735 research outputs found

    ANALYSIS OF THE EFECTS OF AN AC ELECTROMAGNETIC FIELD EXPOSURE IN MICROCIRCULATION OF HUMANS BY USING A 2D LASER SPECKLE FLOWMETRY

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    To date, there are only a few reports evaluating non-thermal alternating current electromagnetic exposure for medical therapeutic applications. Here, we analyzed the acute effects of hand and forearm exposure to a 50 Hz electromagnetic field (EMF; peak magnetic flux density Bmax 180 mT, Brms 127 mT, 15-min duration of exposure) on cutaneous microcirculation in 11 healthy human subjects (10 males and 1 female, age betwen 22-57 years). The blood flow volume values in the back of the hand were monitored and analyzed using a 2D laser speckle flowmetry. Regional blood flow volume values in sham control exposure were significantly reduced from baseline values during resting conditions. In contrast, the EMF exposure did not significantly decreased the blood flow volume from the baseline values during and after the EMF exposure period. There were significant differences between the EMF and sham exposure groups. Therefore, the EMF exposure significantly prevented the reduction of blood flow volume. Thus, the EMF could improve blood flow volume in cutaneous tissue under ischemic conditions. These findings imply that the physiological role of an EMF-enhanced blood circulation might help eliminate the metabolic waste products including endogenous pain producing substances inducing muscle hardness and pain

    DEVELOPMENT OF E-HELP MANUAL USING GRAPHICAL USER INTERFACE (GUI) FOR BATTERY MANAGEMENT SYSTEM (BMS) IN ELECTRIC VEHICLE

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    GUI is commonly used in most applications. Each component in GUI activates itself to monitor, control and manage the system operation. This paper developed e-Help Manual module using Graphical User Interface (GUI) for Battery Management System (BMS) in Electric Vehicle (EV). Overcharge and over discharge often occur in the system without proper maintenance of the battery. Therefore, this study used GUI for BMS in EV to develop a user friendly electronic-Help (e-Help) manual with a few options; Let Me Do It ~ auto (LMDI), Do It Yourself ~ manual (DIY), and Others ~ call for Technical Assistant (OTHERS) to reduce faults in the system, tasks in the battery troubleshooting and cost of battery maintenance. This study used hybrid (PI, PD, and LQR) controller in the system to control current and voltage flow of the external charger for the battery. As a result, the output performance was improved based on battery charging or discharging states of the Li-Ion characteristics in EV and the energy use was optimized

    Performance Optimization of the Arbitrary Arrays with Randomly Distributed Elements for Wireless Sensor Networks

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    Beamforming using regular linear or planar arrays, in which their elements are uniformly spaced is widely studied for various applications. However, in the wireless sensor network applications, such regular arrays are not possible to build. Thus, they are usually built with randomly distributed planar elements. Generating the required beamforming from such randomly distributed arrays that can provide a significant improvement in the wireless sensor network performance is a real challenging issue. In this paper, the amplitude and phase of each random element within the arbitrary bounded area is optimized such that its corresponding array pattern acts as a beam-steerable with minimum sidelobe level and a certain beamwidth. Simulation results under various optimization constraints are given to show the effectiveness of the considered random array. The effect of changing the total number of array elements on the array performance, such as beamwidth, minimum sidelobe level, and the gain were also investigated

    Open Educational Resources (OERs) Development in Nigeria: Determining Task Technology Fit (TTF) Impact on Faculty Usage, Satisfaction and Performance

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    Open educational resources (OER) are gaining grounds globally. However, different regions face different obstacles to OER adoption, policies and experiences. Unfortunately, Africa has continued to trail behind the rest of the world in the adoption of OERs. A number of factors have been adduced from literature ranging from lack of awareness; absence of policies, infrastructural deficits among others with total absence of literature on the fit of the existing technologies being used and how these technologies fit affects utilization, satisfaction and performance impacts. This work adopted the TUSPEM model as a theoretical framework to assess the causal relationship among five constructs of Task Technology Fit, social norms, utilization, satisfaction and performance impacts.  Through a quantitative research approach, snowballing sampling was adopted to identify 123 respondents from a Nigerian University. Smart PLS was used to analyze the dataset. Although the results had strong support for relationships between TTF, satisfaction, the result showed a stronger relationship from post usage satisfaction to performance than TTF to performance. It implies that in a voluntary usage environment, TTF and user satisfaction is critical if performance using any information system is to be achieved.

    Integrating RBF-based Neural Network Face Expression Recognition in Access System

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    Biometric recognition system such as facial recognition system was widely developed over the past few years. Facial recognition system is commonly used in security system to allow user to protect their privilege. The normal security like key or password is no longer relevant as people prefer an easier and flexible way. Therefore, this paper presents a better and easier way of security system that can recognize the user successfully and give the matching percentage. By using Radial Basis Function Neural Network in MATLAB, a face recognition system can be created. The RBF system will be trained by data as reference, input image will undergo the same process and the data obtained will be used to match with the data in the RBF to obtain the matching percentage. A suitable matching percentage reference was chosen from this analysis as the minimum require matching to access the security system where error rate is one of the main concerns where it is the unwanted result that might occur. Different threshold number, spread value, and sizes of dimension also tested, the differences on the output matching result were observed. By using the microcontroller to control a relay to control the magnetic door lock, the system was able to successfully control the door lock

    Mobile Learning Adoption among Tertiary Students

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    The purpose of this study is to investigate the adoption of mobiles learning among higher institution students and the impact on their on their academic achievement.  Data was collect from students of four higher institutions around Melaka. A questionnaire survey was distribute to selected higher institutions in order to collect the data for the research. The study used convenience-sampling method to select the samples. Two hundred (200) respondents was participated in the study. Regression analysis were conduct to examine the effect of digital mobile learning device elements on the higher institution students' performance. The results of this study indicates that only perceived convenience has a significant positive relationship with student performance. However, there are no significant relationship between perceived information accuracy and perceives mobility and students’ academic achievement. The results also provide practitioners with guidelines for implementing digital mobile learning among tertiary students

    Metric-Based Random Iteration Algorithm For Resource Management In Non-Orthogonal Multiple Access Of Wireless Networks

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    In this paper, we focus on joint subcarrier and power allocation in the uplink of an NOMA system. The main taxonomy of NOMA is presented by focusing on the following categories: power-domain and code-domain NOMA. Then a novel radio resource management framework is presented metric-based random iteration Algorithm (MRIA) for uplink and downlink transmissions. This method determine target subject that it is Number of scheduled users.  

    Piezoelectric Energy Harvesting System Via Impact and Vibration – A Review

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    Recently, the vibrational energy harvesting devices have been studied and developed significantly. Although battery is the main power source for electronic devices, it still has some limitations, particularly its life time. Piezoelectric transducer is one of the devices that can be used for the vibration energy harvesting system. It has higher power density compared to the others. A comprehensive review on piezoelectric energy harvesting system is discussed and presented in this paper. The techniques of the piezoelectric energy harvester such as impact and vibration modes are reviewed. The power generator developed for the impact-based piezoelectric energy harvester is addressed in this paper. It can be concluded that the piezoelectric energy harvesting system can generate output power in the range of 34.6nW to 1.34W

    Performance Evaluation of Gas-Fired Heating And Hot-Water Boilers Based On Principal Component Analysis

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    In order to evaluate the performance of gas-fired heating and hot water combi-boilers, eight variables that related to combustion, heat exchange and exhaust flue gas have been selected for analysis, the variables are thermal efficiency, exhaust gas temperature, concentration of O2, CO, CO2 and NOx, number of burner blades and number of heat exchanger fins. In this study, 40 gas-fired combi-boilers which were selected randomly have been tested according to the standard GB 25034-2010 “Gas-fired heating and hot water combi-boilers”, and the test results were analyzed using the principal component analysis method. The analysis results indicated that the first four principal component are sufficient to explain the total variance of 91.653% of the original eight variables, the other factors that are abandoned has a weak effect and can be ignored. Therefore, it can be explained that the principal component extraction is feasible to analyze and evaluate the performance of the combi-boilers with the first four principal components. Based on the ratio of principal component contribution rate to cumulative contribution rate, a comprehensive evaluation model of principal components is obtained: F=0.457F1+0.226F2+0.180F3+0.137F4, the comprehensive evaluation index can be used for quantitative evaluation of the performance of gas-fired combi-boilers, and the principal component analysis can be used as a new method to evaluate the performance of gas-fired heating and hot water combi-boilers

    The Impact of Macroeconomic Factor to Household Debt in Malaysia: A Theoretical Framework

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    Malaysia household debt is keep on increasing year to year, even though the economic condition shows the unstable performance. Therefore, this study attempts to study how macroeconomics factor impact to household debt. Considering both mortgage and consumer debt hence the study will add more reference to analyst in analyzing the debt offered to the consumer. The study used 10 years period from 2008 to 2017. Five variables are determined to be included in this study include gross domestic product (GDP), interest rate (IR), house price index (HPI), Unemployment Rate (UNEM), and consumer price index (CPI). The relationship of macroeconomic performance and housedebt will be tested using multiple regression models. Secondary data from reliable sources will be gathere

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    Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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