Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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Cloud-Based In-Vehicle Air Quality Monitoring System with GSM Module
Get PDFThe purpose of this study is to develop a monitoring system that not limited to real-time vehicle tracking, but also with the ability to monitor in-vehicle air quality. In vehicle air quality is referred to indoor air quality (IAQ) inside the vehicle cabin which is lacked of awareness among driver nowadays. Previous research indicates that human spend up to 90% of their daily time inside the closed circulated air environment including, the vehicle. Prolonged use of air recirculation inside the vehicle cabin can lead to a gradual accumulation of carbon dioxide (CO2) which may occur the symptoms such as fatigue, headaches, and dizziness even deleterious effects on cognitive function towards the occupants. Vehicle cabin is an enclosed environment to prevent the outdoor air directly flow inside the vehicle cabin. However, when the vehicle speed increases the air pressure will be applied onto the joint of the car body and created some leakages then the outdoor air can flow into the cabin then may change the IAQ. A Global System for Mobile (GSM) communications module is utilised as a proxy to push the aggregated information such as real-time vehicle location, IAQ status and timestamps into the cloud database with an iteration of the 30s. The average time delayed for data to reach the cloud database is approximate 3.6s from the time it transmitted. Through the Android mobile application, the user can observe the in-vehicle air quality with the current location in two optional modes: real-time or historical data. The developed device and system were compared with off the shelf device (AeroQual). The Bland-Altman plot method was applied to validate the result of in-vehicle air quality system. The coefficient of determination (R2) value between these two devices is approximately 0.9. The in-vehicle air quality with vehicle tracking system has been successfully developed and provided a reliable result
Analysis on Euler Angles Rotation of a Rigid Body in Three-Axis Attitude Based on RazakSAT Data
Get PDFSatellite attitude estimation uses different attitude representation either Euler angles, direction cosine matrix, Gibbs vector or quaternion parameters as their kinematic model. The three-axis attitude parameter using quaternion parameter is mostly used to represents the attitude of satellites. As well as in RazakSAT satellite mission, the attitude data is represented by quaternions parameters. However, the quaternions parameters do not have a physical interpretation for the attitude of the satellite. Therefore, quaternion parameters of the satellite are converted to Euler angles rotation for the physical interpretation of its orientation. This paper present and analyse the satellite three-axis Euler angles rotation for its attitude using average rotation, maximum/minimum error and standard deviation. The result shows that the quaternions parameters are successfully represented in Euler angels. The error measurement or noise exists on roll, pitch and yaw of Euler angles. For verification of the Euler angles error, the angular velocity from satellite gyroscopes is used as references. Residual analysis at low frequency is 0.00515 [degree/ second] which considered as Euler angles measurement error or noise
Development of Smart Security System for Building or Laboratory Entrance based on human’s brain (EEG) and Voice Signals
Get PDFThe drastic increment in cyber-crimes and violent attacks involving our properties and lives made the world become much vigilant towards ill-intentioned peoples. Thus, it leads to the booming of smart security system industry which relies heavily on biometrics technology. However, due to certain circumstances, some users may find the existing biometrics technologies such as fingerprint, palm, iris and face recognition are unable to detect the necessary data precisely due to the physical injuries of the users. Furthermore, the fact that these biometrics technologies are easily retrieved from the user and be used as counterfeit to access to the security system undetected. Thus, in this research, in order to enhance the existing security system based on the biometric technologies, the combination of the human physiological signals such as brain and voice signals will be employed in order to unlock the magnetic door entrance to the laboratory, building or office. This research has utilized mobile Electroencephalogram (EEG) headset and voice recognizer to capture human’s brain and voice signals respectively. The extracted features from the captured signals then are analyzed, classified and translated to determine the device command for the microcontroller to control the door entrance’s locking system. The high rate of classification results of the selected features of EEG and voice signals at 96.7% and 99.3% respectively show that selected features can be translated to command parameters to control device
Development of Wireless Safety System for Hybrid Vehicle Hazard Monitoring
No full textThe advent of advanced automobile technology has enabled the introduction of hybrid vehicle engine which is a combination of electric motor and gasoline fuel usage. Although the technology seems to support environment and provide ease of use to the consumer, the underlying risk associated with this is electrocution which could be fatal with the high rating of battery used in these vehicles. To minimise such risk, an economical and efficient monitoring system has been designed and developed to monitor voltage and current leakage from related cables on hybrid vehicles and warned stakeholders when the event necessitates it. Data collected shows alarming potential current leakage characteristic on overused cables when analysed
Modelling, Simulation and Analysis of PHERB Powertrain
No full textPopularity due to high fuel efficiency have made plug-in hybrid electric vehicles (PHEVs) gives a great transformation in reducing fuel consumption, fuel cost and gas emission. Marine transportation such as boat, ship, tanker, bulk carries, tow and tug also need the revolution replacing their diesel conventional with the hybrid electric vehicle. In this paper, plug-in hybrid electric recreational boat (PHERB) was presented. This research aims to present modelling and simulation of main powertrain PHERB based on a mathematical model in MATLAB/SIMULINK environment, in order to respond to power and speed through a drive cycle. The accuracy of the model is compared with advanced vehicle simulator (ADVISOR) software. The result of simulation main powertrain, fuel economy and emission of PHERB and ADVISOR model were compared, and the pro and con were discussed. This model can be used as a reference to build a hybrid electric boat in Malaysia environment
Development of a Mobile Aquaculture Management Systems for Performance Monitoring of Aquaculture Players
No full textTowards achieving National Transformation 2050 for Malaysia’s smart communities 2050 with the Fourth Industrial Revolution, Malaysia aquaculture industry has become a targeted industry for the fast-growing food industry in the digital revolution that ranked in the top 15 world producers in 2014 with an estimated 521,000 tonnes of total aquaculture production. It is aligned to the 11th Malaysia Plan under the National Agrofood Policy (NAP), 2011-2020. However, in this recent years, the aquaculture sector in Malaysia is facing serious challenges in environmental issues and managing aquaculture systems during disease outbreak and disaster. This is due to lack of timely shared information among aquaculture players. For the purpose of the study, this paper used to address a mobile web application innovation as a disruptive technology to manage aquaculture systems in order to share the useful information of aquaculture issues on the right time and to the right person. Based on Design Science Research philosophy, Generic Design Cycle applied as the research methodology to develop mobile application development. Therefore, the advantages of the innovation and the significant impact to the industry also highlighted in this paper
Extraction of Problem Events from Web Documents to Construct Cause-Effect Loop
Get PDFThis research aims to extract problem events, particularly cause-effect concept pair series with explanations by several simple sentences with causative/effect concepts, from web documents of drug addiction. The extracted problem events are used to construct cause-effect loop which benefits for the problem analysis in the solving system. The research has three problems; how to determine the cause/effect event concepts expressed by verb phrases having a problem of the overlap between causative-verb concepts and effect-verb concepts, how to determine the series of cause-effect concept pairs with the causative/effect concept boundary consideration, and how to determine the feedback-loop of cause-effect concept pair series. Therefore, we apply the event rate to solve the overlap problem. We then propose using N-WordCo to determine the cause-effect concept pair series and also use a cue-word set to solve the feedback-loop. The research results provide the high precision of the problem event extraction from the documents
A Review on Cache Replacement Strategies in Named Data Network
Get PDFNamed Data Network (NDN) architecture is one of the newest and future-aspired Internet communication systems. Video-on-Demand (VoD) has rapidly emerged as a popular online service. However, it is costly, considering its high bandwidth and popularity. Internet on-demand video traffic has been growing quite fast, and on-demand video streaming has gained much attention. The problem of this study is that the NDN architecture is processing several forms of online video requests simultaneously. However, limited cache and multiple buffering of requested videos result in loss of data packet as a consequence of the congestion in the cache storage network. Addressing this problem is essential as congestion cause network instability. This work emphasizes on the review of cache replacement strategies to deal with the congestion issue in Named Data Networks (NDN) during the VoD delivery in order to determine the performance (strengths and weaknesses) of the cache replacement strategies. Finally, this study proposes the replacement strategies must be enhanced with a new strategy that depends on popularity and priority regarding the congestion. This study would positively benefits both suppliers and users of Internet videos
A Review of Augmented Multimedia Elements in Science Learning
No full textThe integration of technology in education or learning domain makes a huge transformation in human wisdom and also in the way of thinking and learning. Augmented Reality is increasingly used for learning purposes as it may provide the learners what they have learned and what should have learned. This article reviews on literature concerning the elements of augmented reality which may be implemented for scientific practices in order to make science learning more motivating. The integration of multiple media in educational materials may influence learners’ motivation towards the learning process. Thus, the instructional strategy of learning materials is equally important as the content does. Content analysis of 47 articles reveals that 3D models are popularly used in augmented reality for science learning. This article further discusses the importance of multimedia elements in representing information, especially for science learning through the use of augmented reality (AR) technology
Hybrid Prims-Viterbi's Algorithm for Protecting Multiple Utility Grids Interfaced Microgrid
No full textWith globalisation occupying the space, there has been a subsequent growth in the demand for power supply, which can be met by bringing microgrid into the scenario. Microgrid paves the way to integrate various other energy sources (along with the conventional source of energy) like Renewable Energy Systems (RES) and Distribution Grids (DG). The microgrid can be reconfigured by RES, load or utility grid connection or disconnection. The RES enables the bi-directional flow of power. Hence, it will be challenging for the protection engineers to clear the fault, if any, through conventional energy protection techniques. This paper proposes hybrid PrimsViterbi’s algorithm, which helps in identifying the shortest path from a faulted point to the point of common coupling point. This algorithm may attain a minimum portion of network disconnection during the clearance of fault. The proposed algorithm is tested and validated on a real-time 16-bus microgrid network with multiple utility grids