Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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Fourth-Order Butterworth Active Bandpass Filter Design for Single-Sided Magnetic Particle Imaging Scanner
This paper describes the design and simulation of a fourth-order Butterworth active bandpass filter designed for single-sided magnetic particle imaging (MPI) scanner. Bandpass filters (BPF) are used in MPI scanner set-up to attenuate the harmonic distortions generated by the power amplifier before passing the purely sinusoidal signal to the excitation (Drive) coils. The BPF is designed based on the excitation frequency of 22.8 kHz, having Butterworth response, and realized using Sallen-Key topology by cascading one second-order highpass filter and one second-order lowpass filter, with values of the passive components calculated using the coefficient matching method. MATLAB and NI Multisim software are used to simulate the filter, and the results are compared. The magnitude response obtained using MATLAB have monotonic amplitude response in the pass and stopband, and maximally flat with small ripples in the passband than the NI Multisim implementation, while NI Multisimimplementation has better roll-off than MATLAB implementation
Call for Paper Information Broadcast Based on Android Application
A reliable information is a crucial thing in every event. Participants and the committee expect the fulfillment of information. In this research, writers use smartphone technology to facilitate call for paper information broadcast. The development of call for paper information broadcast application is based on the usage of Android smartphones that are relatively popular device to be used by the people in this era. On this application, there are some features that can facilitate the users to get the best reading experience. This application also grants the committee some rights to manage the event through website. The design and development of this application are going through three phases. Analysis, interface design, and code writing. The website is based on HTML 5 and the mobile application is based on Ionic Framework for smartphone application based on Android, and MySQL as database manager and also a test conducted through automatic email, SMS gateway, and push notification on smartphone. In this research, a call for paper application was developed to facilitate information broadcast. The application helps the participants to get information through SMS, notification, and email from their smartphone. After going through the testing process, this application can run their features inside the application smoothly
Driving Cycle Analysis for Fuel Economy and Emissions in Kuala Terengganu during Peak Time
Number of vehicles grows rapidly in Kuala Terengganu by year. This increment is troubled by the performance of the vehicle regarding pollutants generated. Plug-in hybrid electric vehicles (PHEV) are widely considered to be the most promising vehicles instead of the traditional engine vehicles to reduce fuel consumption and exhaust gas emission. The objectives of this paper are to develop driving cycle of Kuala Terengganu and to analyse the fuel economy and emissions in Kuala Terengganu during peak time. Driving cycle is where PHEV is used as the main apparatus to determine the driving cycle data. In this study, the on-road measurement method is used to collect the data, along with the global positioning system. This technique involves recording speedtime dataset in the real-world driving cycle. Three main methods to identify the best driving cycle are route selection, data collection and data analysis. The data were analysed to get the best driving cycle using a computer program, which is Mathematical Laboratory (MATLAB), along with validated parameters
A CIMB Stock Price Prediction Case Study with Feedforward Neural Network and Recurrent Neural Network
Artificial Neural Network (ANN) is one of the popular techniques used in stock market price prediction. ANN is able to learn from data pattern and continuously improves the result without prior information about the model. The two popular variants of ANN architecture widely used are Feedforward Neural Network (FFNN) and Recurrent Neural Network (RNN). The literature shows that the performance of these two ANN variants is studied dependent. Hence, this paper aims to compare the performance of FFNN and RNN in predicting the closing price of CIMB stock which is traded on the Kuala Lumpur Stock Exchange (KLSE). This paper describes the design of FFNN and RNN and discusses the performances of both ANNs
Strategy Model in Bus Tracking and Information Application (BTA) Towards Smart Mobility in Urban Spaces
Smart city can be defined as an urban space with complete and advanced infrastructure, intelligent networks and platforms, with millions of sensors among which people themselves and their mobile devices. Urban mobility is one of the global smart city project which offers traffic management in real-time, management of passenger transport means, tracking applications and logistics, car sharing services, car park management and more smart mobility services. Due to the frustrating waiting time for the arrival of buses and the difficulty of accessing shuttle bus-related information in a onestop centre, bus tracking and information application (BTA) is one the proposed solutions to solve the traffic problems in urban spaces. This paper is aimed to design and develop a bus tracking and information application in a selected city in Selangor state, Malaysia. Next, this application also provides an alternative to design public transport tracking and information application for the urban places in Malaysia. Furthermore, the application also provides a smart solution for the management of public infrastructures and urban facilities in Malaysia in future. Finally, the smart mobility model will be presented to uncover the extent on how BTA provide smart solutions in urban spaces which focus on informative, interactive, assistive and green mobility
Optimal Control for Sport Utility Vehicle System Using Linear Quadratic Integral Control Approach
The Sport Utility Vehicle (SUV) has become one of the popular vehicles to be chosen, since it was first introduced. However, the higher Centre of Gravity (C.G) and the bigger sizing at the side area have led to the stability and the handling issues that degrade the vehicle’s performances, especially during the confrontation with external disturbances. This paper presents an analysis of an optimal control that enhances the handling and stability of the SUV. The Direct Yaw Control (DYC) method was used to control the vehicle’s accuracy and robustness towards environmental parameters during the critical manoeuvre. The Linear Quadratic Regulator (LQR) and Linear Quadratic Integral (LQI) were compared to obtain the optimal performances during the control of the vehicle’s handling and stability. With the interference of an external disturbance during the critical manoeuvre, the results indicate that the LQI produce significant improvement in the vehicle’s handling and stability control
The Strategic Use of Information and Communication Technology on The Gaps Model of Service Quality in Banking Industry
The impact of ICT on customer service has risen considerably in recent years. This can be seen by the number of papers published and in particular by financial- and banking-related journal. To establish the field further, the purpose of this paper is has twofold. First, it offers a literature review on 186 papers published from 2009 to 2015 into account and qualitative case study was based on primary data collected on 32 bank managers from 3 banks. Second, it offers a conceptual framework to summarize the research in this field comprising four parts. The authors illustrate the classification of ICT impact on Customer Service in four parts: Listening Gap, Service Design and Standard Gap, Service Performance Gap and Service Communication Gap
A Preliminary Study of Technical Feasibility for Mobile Phone Remanufacturing in Indonesia
Remanufacturing is an important element in making sustainable production and consumption in our society. Unfortunately, remanufacturing is not well-developed in Indonesia yet, especially compared to developed countries. To start a remanufacturing process, it is necessary to know the feasibility technically, economically and environmentally. This paper aims to find out whether the remanufacturing of mobile phones is technically feasible to be done in Indonesia. Mobile phone is chosen because it is one of the biggest e-waste takers lately. Four mobile phone brands are selected for this purpose. The method used in this research was a qualitative survey, which was conducted at the service center of each brand. From this research we find some barriers and facilitators in the remanufacturing implementation. In addition, we propose some attributes in every step of the remanufacturing process. It can be concluded that technically, remanufacturing of mobile phones in Indonesia can be implemented. There are notable processes in every step of remanufacturing that affect the feasibility of mobile phone remanufacturing, such as the selection of phone types and the meticulousness in every step to avoid damage during the remanufacturing process
A Review of Different Applications of Wireless Sensor Network (WSN) in Monitoring Rehabilitation
Parkinson’s disease is a neurodegenerative brain disorder that affects movement. The lack of dopamine in the brain cells causes patients have lesser ability to regulate movement and emotions as time goes on. There is no cure for this disease. Although drug therapies are successful for some patients, most of the patients usually develop motor complications. In this paper, we presented our work towards the comparison of several wireless sensor network (WSN) systems for monitoring Parkinson’s patients. The designs of each system are explored. The parts being considered to design a wireless sensor network and limitations are discussed. These findings helped us to suggest a possible wireless sensor network system to supervise Parkinson’s diseases patients for a more extended period of time
Real Time Optimal Implementation Of Stabilizing Controller For Inverted Pendulum
This paper present real time control of an inverted pendulum. The system is inherently unstable, nonlinear and under-actuated system. The dynamic model of the system was derived based on Lagrange approach and it was linearized about an appropriate operating point by the use of Taylor’s series approximation. Linear Quadratic Regulator (LQR) controller was designed to stabilize the system in an upright position. The robustness of the control algorithm was tested based on disturbance rejection. Simulation and Experimental results show a good performance was achieved and the controller is robust to external disturbances