Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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Smart Localization and Detection System for School Children
Get PDFThe lack of parental supervision in the past few years, contributes to the increasing number of crime against children. Many cases of missing children are reported by PDRM every year and have become a vital concern to the society. Hence, this paper presents a smart localization and detection system for school children to overcome the issues of missing children. The proposed system is implemented for tracking and notifying the location of the children using SIM908 Global Positioning System (GPS) Module with Global System for Mobile Communication (GSM) technologies and Arduino Mega 2560 microcontroller board. The module kit is placed inside the children’s school bag while they are going to school. The children positioning information is sent through GSM to the parent’s smartphone via Short Message service (SMS) that is linked to Google Map. It allows parents to know their children location on a real-time map. Thus, it can help the parents to monitor their children everywhere. The proposed system is proven to be efficient, reliable and low cost
Insights from the CGMA Data Competencies Model: The Role of Data Culture to the Value Creation Process
Get PDFWith the emergence of the big data phenomena, the business intelligence maturity approach tends to be limiting and lacks the capability to capture and engage with the relevant variables and develop into a theoretical framework to explain the big data economy. The concept of data competencies proposed by Chartered Global Management Accountants (CGMA) was thought to be a more comprehensive alternative framework to explore the phenomena. The four types of data competencies, namely, data culture, data management, data analytics and value creation were used to construct the conceptual framework to understand and explain the big data initiative implementation process. It was found that data culture tends to moderate the data management-data analytics relationship. In addition, data analytics appears to partially mediate the impact of data management on value creation. The implications of these findings confirm that data culture is the essential foundation to the value creation process
Hand Movement Imagery Task Classification using Fractal Dimension Feature
Get PDFIn this paper, a nonstimulus-based Brain Machine Interface (BMI) approach is used to acquire the brain signal from ten different subjects using 19 channel EEG electrodes while performing four different hand movement imaginary tasks. Three different Fractal Dimension algorithm namely Box counting algorithm, Higuchi algorithm, and Detrended fluctuation algorithm are used to extract fractal dimension features from recorded EEG signal and associated with the respective mental tasks. Three Feed-Forward Neural Network model is developed. The performance of the three Neural Network model is evaluated in term of classification rate and compared. The performance of the developed network models are evaluated through simulation. It is observed that the neural network model trained with Higuchi algorithm has contributed high classification accuracy with the better training and testing time for all 10 subjects. The result clearly indicates that the Higuchi fractal dimension algorithm can be used as a feature to classify motor imagery task for the proposed BMI system
Application of Moth-Flame Optimizer and Ant Lion Optimizer to Solve Optimal Reactive Power Dispatch Problems
Get PDFThis paper presents the application of two nature-inspired meta-heuristic algorithms, namely moth-flame optimizer (MFO) and ant lion optimizer (ALO) in obtaining the optimal settings of control variables for solving optimal reactive power dispatch (ORPD) problems. MFO is developed by the inspiration of the natural navigation method of moths during night time while ALO is inspired by the natural foraging technique of antlions in hunting ants. These two algorithms are implemented in ORPD to determine the optimal value of generator buses voltage, transformers tap setting and reactive compensators sizing in order to minimize power loss in the transmission system. In this paper, IEEE 57-bus system is utilized to show the effectiveness of MFO and ALO. Their statistical results are compared against other metaheuristic algorithms. The results of this paper illustrate that MFO is able to achieve a lower power loss than ALO and other selected algorithms from literature
Factor Determination in Prioritizing Test Cases for Event Sequences: A Systematic Literature Review
Get PDFThe generation of test cases is a challenging phase in software testing. The process of test case generation becomes more expensive and time-consuming when the test suites become larger. Many researchers have proposed the test case prioritization (TCP) technique to schedule test cases, so that those with the highest priority are executed first before lower priority test cases. One of the performance goals of TCP is the rate of fault detection, which is a measure of how quickly faults are detected within the testing phase. However, the existing TCP technique has some limitations. This paper presents the results of a systematic literature review (SLR) of relevant primary studies as evidence of the existence of TCP in the area of event sequences. Consequently, five major techniques and 10 factors were identified and analysed. This study aims to review and identify techniques and factors that influence the process of assigning weight values in TCP processes. The proposed factors need to be evaluated in terms of their contribution to the performance of the TCP technique. Some researchers believe that a combination of factors might be required to produce unique weights during the TCP processes. Nevertheless, most studies applied the random method or did not provide any information regarding the same weight value issues
Resource Discovery in Non-Structured Peer to Peer Grid Systems Using the Shuffled Frog Leaping Algorithm
Get PDFIn Peer to Peer (P2P) grid systems, users can utilize the resources of other machines for their tasks without involving themselves in the detailed aspects of addressing. One of the greatest challenges for these systems is finding the resource that matches the user’s request to minimize query traffic in the network. Thus, inspired by the Shuffled Frog Leaping Algorithm (SFLA), this article presents a new method for resource discovery in grid systems. This algorithm finds the resource that matches the user’s request via sending requests to the most suitable neighbors, thus preventing the flooding of requests and reducing traffic. The evaluation and comparison of the proposed method with the Genetic Algorithm (GA) and Differential Evolution Algorithm (DEA) indicate that it yields higher performance considering the speed and number of sent queries in the network
Characterization of a 0.35-Micron-Based Analog MPPT IC at Various Process Corners
Get PDFAn analogue maximum power point tracking (MPPT) controller integrated circuit (IC) based on ripple correlation control was modified for low voltage applications in this study to harvest the maximum power from the photovoltaic array or solar panel under partial shading and changes in temperature. The IC was implemented in TSMC 0.35um 2P4M 5V mixed-signal CMOS technology. It was simulated at various process corners namely: typical-typical (TT); slow-slow (SS); fast-fast (FF); slow-fast (SF); and fast-slow (FS). The simulation results showed that at a 400 W/m2 solar irradiance and 25 degrees Celsius temperature, the tracking efficiencies are 99.18%, 98.55%, 98.89%, 98.96%, and 98.90% at different process corners, TT, FF, FS, SF, and SS, respectively
Investigation on the Thin Film Nanocomposite Ceramic-Polymer to Patch Antenna
Get PDFIn this paper, an investigation of the highpermittivity ceramic-polymer composite antenna is performed using Barium Titanate, BaTiO3 nanocomposite ceramic powder mixed with polymer composite of polydimethylsiloxane (PDMS). The ceramic-polymer composite, PDMS-BaTiO3 thin film layer was formed through a spin coating process on the top and the bottom layer of the PDMS substrate for the antenna design in order to achieve an overall antenna size reduction. The proposed patch antennas using the ceramic-polymer composite were analysed at a resonant frequency of 2.45 GHz for WLAN applications regarding antenna performance on return loss, gain, bandwidth, radiation efficiency, and voltage standing wave ratio (VSWR). Two different experimental compositions of 15% and 25% PDMS-BaTiO3 thin film substrate were prepared in the proposed design to create soft, hydrophobic, flexible, resistance against corrosion and lightweight antenna. Significantly, from theoretical analysis and simulation results, it was demonstrated that ferroelectric ceramic-polymer material leads up to 84 % size reduction without having to compromise other antenna performance parameters
A Data Transmission Protocol for Wireless Sensor Networks: A Priority Approach
Get PDFRecent development in the field of a wireless sensor network has shown the significant improvement and has emerged as a new energy efficient wireless technology for low data rate applications. Handling different types of event data altogether is a crucial task in the sensor networks. This paper presents the solution to the problem of heterogeneous data transmission of long distance prioritised nodes in low data rate wireless sensor networks (LR-WSNs). The solution comprises three main algorithms, namely data reporting, traffic scheduling, and centralised reporting rate mechanism. The data reporting algorithm reports the demanded data in each specified decision window size with variable reporting rate. The traffic aware packet scheduling algorithm performs the packet reprioritisation and scheduling. The priority assignment is designed based on the data priority and hop count. It serves transient traffic against newly sensed packets, or less hop distance travelled packets. As a result, it minimises the chances of dying earlier than its deadline. The third algorithm presents the flexible data gathering approach based on the level of the buffer either sensed by its own or recently received information from hop node. It uses a decision interval window for managing the frequency of data delivery. This centralised decision approach makes the sink node more adaptive for data gathering and controlling the active source nodes. This multi-tier framework functions over CSMA/CA due to its unique feature of energy saving, especially for LR-WSNs. The reported work is simulated and examined over various scenarios in the multi-hop wireless sensor networks. Moreover, the performance of the scheduler proves better data transmission rate for prioritybased traffic over regular traffic flows; approximately 7% over First-Come-First-Served (FCFS) and 5% against Precedence Control Scheme (PCS) mechanism using theoretical analysis and computer simulations
Reducing Test Suite of State-Sensitivity Partitioning (SSP)
Get PDFSoftware testing is one of the most vital phases of software development lifecycle that aims to detect software faults. Test case generation dominates the software testing research. SSP is one of many techniques proposed for test case generation. The goal of SSP is to avoid exhaustively testing all possible combinations of inputs and preconditions. The test cases produced by SSP are formed of a sequence of events. For instance, a queue test case might encompass the addition of thirty items onto the queue; deletion of three items, addition of sixty more items, seven deletions and examining the outcome. Notwithstanding perceiving the finite bounds of the queue size, there is an endless engage of sequences along with no upper limit on the sequence’s length. Therefore, the sequence might get lengthy as a result of comprising data states that are redundant. The test suite size is expanded due to the data states redundancies and subsequently, the testing process will become insufficient. Thus, it is a necessity to optimize the SSP test suite by removing the redundant data states. This paper addresses the issue of SSP suite reduction, which part of the process for optimizing test suite produced by the SSP