Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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MASMe: Developing Mobile Accounting Software for Micro Entrepreneurs
Get PDFIn this study, a new mobile accounting application called MASMe has been developed to assist microentrepreneurs in the area of financial management and accounting. The MASMe prototype helps to simplify finance and accounting processes and produce real-time reporting both online and offline. This will help micro-entrepreneurs to understand the accounting concepts and to obtain information to help manage their business and better decision-making. The system will also enable micro-entrepreneurs to apply for business loans and government grants from government agencies and banks to expand their business. As mobile accounting software, MASMe is reasonably simple and straightforward and uses the simple concept of money-in and money-out (i.e. cash flow) given many micro-entrepreneurs have limited finance and accounting knowledge. Employing the Waterfall method of the System Development Life Cycle (SLDC) the requirements of users were collected, and the design of the model was constructed using the Unified Modelling Language (UML) technique. The model was validated and tested through the development of the prototype with feedback received from users of the system. While several inherent limitations were noted, these limitations are expected to be overcome in future versions of the application with the ability to print invoices, export data into Microsoft Excel and to expand the loan payment function of the application to benefit microentrepreneurs
TRIZ Inventive Solution in Solving Water Pipeline Leakage Using Accelerometer Sensor
Get PDFTo a developing country, sustaining a consistent water supply for industrial and domestic usages is a great challenge. In Malaysia, this can be demonstrated by the alarming rate of the Non-Revenue Water (NRW), which is >30% and this is greater than the recommended NRW by the World Bank. Therefore, this paper highlights several causes that lead to this and determines the primary cause, which is water pipeline leakage. The Teoriya Resheniya Izobretatelskikh Zadatch (TRIZ), a problem-solving tool is employed to study the potential solutions. Then, the water system testbed is developed to examine the performance of the proposed solution
Evaluation of Image Pixels Similarity Measurement Algorithm Accelerated on GPU with OpenACC
Get PDFOpenACC is a directive based parallel programming library that allows for the easy acceleration of existing C, C++ and Fortran based applications with minimal code modifications. By annotating the bottleneck causing a section of the code with OpenACC directives, the acceleration of the code can be simplified, leading for high portability of performance across different target Graphic Processing Units (GPUs). In this work, the portability of an implemented parallelizable chi-square based pixel similarity measurement algorithm has been evaluated on two consumer and professional grade GPUs. To our best knowledge, this is the first performance evaluation report that utilizes the OpenACC optimization clauses (collapse and tile) on different GPUs to process a less workload (low resolution image of 581x429 pixels) and a heavy workload (high resolution image of 4500 x 3500 pixels) to demonstrate the effectiveness and high portability of OpenACC
Development of an Ankle Foot Orthosis for Hemiplegic Children
Get PDFHemiplegia is a half body paralysis which causes disability in mobility function. Hemiplegia is normally discovered since early birth and is not curable. Treatment such as physical therapy can be carried out for the hemiplegic patient to prevent muscle contraction, especially at the early age. In this research, a tool for the physical therapy and gait assistance known as ankle foot orthosis (AFO) was developed for the hemiplegic children. The AFO was based on the active concept that mobilised the ankle by preventing excessive plantarflexion and allowed dorsiflexion. A linear type DC (direct current) motor was used as the actuator. The maximum range of motion (ROM) was +20° for the dorsiflexion and -20° for plantarflexion movement. The prototype was fabricated using 3D printing. Simple control for the device was developed using Arduino kits. The development of a new AFO is hoped to support the rehabilitation of the hemiplegic children
Predictive Functional Controller (PFC) with Novel Observer Method for Pneumatic Positioning System
Get PDFNowadays, the pneumatic system is more complex which leads to the development of an intelligent pneumatic system. Due to the difficulties in controlling the position and force of pneumatic actuators nonlinearities existed. This paper proposes a design of Predictive Functional Control (PFC) using two different types of observers such as full-order and reduced order as a novel method to come out with these issues. The mathematical model of the pneumatic system come from System Identification (SI) method and third order Auto-Regressive with Exogenous Input (ARX) has been chosen as a model structure. Matlab/Simulink has been utilized as the platform and the performance of the controller using both observers have been validated in simulation and real-time experiment. The comparison has been made to identify which observers are more efficient by taking into account the value of Steady State Error (Sse), Percentage of Overshoot (%Os), Settling Time (Ts) and Rise Time (Tr). Real-time experiment results show that the strategy using reduced-order observer is more efficient because this strategy can reduce more Sse
Convolutional Neural Network for Person and Car Detection using YOLO Framework
Get PDFIn this paper we present a real-time person and car detection system suitable for use in Intelligent Car or Advanced Driver Assistance System (ADAS). The system is based on modified YOLO which uses 7 convolutional neural network layers. The grid cells of the system are varied to evaluate its effectiveness and ability in detecting small size persons and cars in real world images. The experimental results demonstrate that even with 7 convolutional layers, the system is able to provide good detection accuracy and real time operation. Although the mAP scores show reduction in accuracy, the visual qualitative evaluation using real world images indicate the 7 layer YOLO with 11x11 grid cells can correctly and easily detects small size persons and cars. This makes the reduced complexity YOLO a suitable candidate for use in ADAS which demands both relatively good detection accuracy and real time operation
A Model of Personalized Context Aware E-learning Based on Psychological Experience
Get PDFThe use of context-aware approach in e-learning system has brought a new passion for users as an alternative to learning. It can provide personalized and adaptive learning patterns that can tailor to the needs, the circumstances and the behavior of users. Along with the continued development pervasive and ubiquitous computing, there are several studies related to this model. However, the existing models developed still focus on a wide variety of contexts, such as explicit contexts and context related to the physical environment of learning. Additionally, the developments of the current models by involving psychological condition of the learner taken into account are still limited. In fact, this condition can influence the learning engagement of learners. This research proposed a model of context aware e-learning that personalizing e-learning according to psychological state of the learners. The psychological experience is based on the theory of flow consisting of anxiety, boredom, and optimal condition measured naturally when users are interacting with e-learning. Furthermore, it becomes one of the strengths of this research. Psychological experiences are measured after the learner interacting with the e-learning. The data are obtained from learner behavior saved in the server log
Design of Mechanical Bracing Device for Clubfoot Treatment
Get PDFClubfoot is one of the complex three-dimensional deformities of the foot. In Malaysia, clubfoot remains a significant problem and yields an unpredictable outcome due to the late presentation for treatment and ignorance of parents. Invasive and non-invasive treatment is applied for clubfoot. However, relapse can occur after the treatment, and the patient needs to use a bracing device for post-treatment maintenance. In this paper, the design of a new mechanical bracing device for clubfoot treatment is presented. Engineering design approach was applied to the device development. Problem identification and customer requirement, conceptual design, preliminary design, detail design and final design were conducted before the fabrication process. The device consists of adjustable foot width, dorsiflexion, shoe, a horizontal plate, foot pad and foot height. The prototype was fabricated, and SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis was conducted for evaluation purpose. The device consists of multiadjustable joint that can be considered as a new concept for the bracing device
Small and Compact Double E-shaped Meander Line Monopole Antenna for Forward Scatter Radar Network
Get PDFA small and compact printed monopole antenna can be obtained by introducing double E-shaped meander line patch backed by a partial ground plane. The double E-shaped meander line patch reduces the antenna resonant frequency so that the size of the antenna can be reduced for targeted frequency of 400 MHz specific for Forward Scatter Radar (FSR) Network. 77% size reduction of the antenna has been successfully achieved where the overall size of the proposed antenna is only 93.8 x 131 mm2 (0.125λ0 x 0.175λ0) compared to before it was reduced which is 190.7 x 276.3 mm2 (0.25λ0 x 0.368λ0). The size reduction is obtained without significant effects on other antenna performances. The proposed antenna produces high measured efficiency of 85.5% and measured gain of 0.3 dBi with an omnidirectional radiation pattern. A comprehensive parametric study is accomplished to obtain the best performances of the antenna. For a better understanding on the design characteristics, an equivalent circuit model is derived carefully
Intelligent Approach of Event Detection with Efficient Energy Consumption in Wireless Sensor Networks
Get PDFIn the context of environmental protection against fire, this work presents a hybrid system of decision making and early warning applied in wireless sensor networks. This system, also, integrates an efficient data routing technique, based on the clustering of the near-event nodes, ensuring judicious network energy consumption. Data fusion technique, based on sensors data aggregated by the Cluster Head node (CH) within a defined analysis area, is processed by K-medoids, the latter will mainly contribute to increase the system's performances by decreasing the intra-cluster noise parameter () conducting to improve the probability of detection. This step, therefore, will distinguish and merge only the correct and useful samples. On the basis of the fused data, the estimated alert by K-Nearest Neighbours (KNN) can be directly triggered based on a minimum number of sensor nodes detecting fire; this will affect in advantage on the rapidity of detection, which leads to limit the spread of fire quickly. The alert is transmitted from the CH node to the base station via an intermediate node (IN) elected intelligently outside the cluster. This proposed approach proves, through its simulation results, a remarkable improvement of system performances in terms of information reliability, rapidity of detection and alert, avoiding false and redundant information, and also it improves extending the network lifetime