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  • 1
    In: Journal of Sustainability Science and Management, Penerbit UMT, Universiti Malaysia Terengganu, Vol. 15, No. 5 ( 2020-7-30), p. 3-9
    Type of Medium: Online Resource
    ISSN: 1823-8556 , 2672-7226
    Language: Unknown
    Publisher: Penerbit UMT, Universiti Malaysia Terengganu
    Publication Date: 2020
    detail.hit.zdb_id: 2641420-X
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  • 2
    Online Resource
    Online Resource
    EDP Sciences ; 2018
    In:  MATEC Web of Conferences Vol. 150 ( 2018), p. 01003-
    In: MATEC Web of Conferences, EDP Sciences, Vol. 150 ( 2018), p. 01003-
    Abstract: Due to lack of vehicle parking slot in front of Block Q, Faculty of Electrical and Electronic Engineering (FKEE), UTHM, the enhanced vehicle parking monitoring system (E-VPMS 1.0) is developed to identify parking slots available in the parking area as well as to detect double parking problem. Once this system is implemented, time consume for searching available parking slots as well as double parking problem that may cause unwanted accident can be reduced. In the development of E-VPMS 1.0 system, whole system are designed and developed in three different phases; which are video processing phase, login and registration phase, and webview development phase. In video processing phase, video sources are processed through few video processing function. In login and registration phase, series of webpage function have been created that accessible in both smartphone and laptop. While, in webview development phase, webview function have been developed and through this function, content of E-VPMS 1.0 system can be displayed directly via web browser for both smartphone and laptop. Through E-VPMS 1.0, availability parking slots can be checked by registered user through input recorded video before entering the specific parking area. Other than that, performance analysis in terms of numbers of registered user and parking slot availability at different situations such as during peak event or normal event can be managed and controlled by admin through visualisation data method.
    Type of Medium: Online Resource
    ISSN: 2261-236X
    Language: English
    Publisher: EDP Sciences
    Publication Date: 2018
    detail.hit.zdb_id: 2673602-0
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  • 3
    In: MATEC Web of Conferences, EDP Sciences, Vol. 150 ( 2018), p. 01002-
    Abstract: The breakdown of motor proves to be very expensive as it increases downtime on the machines. Development of cost-effective and reliable condition monitoring system for the protection of motors to avoid unexpected breakdowns is necessary. Therefore, RetComm 1.0 is developed as assistant tool for bearing condition diagnosis system. The smartphone accelerometer is used to collect the vibration signal data and send it to computer by using the Android application named Matlab Mobile. The Matlab software is used to implement a program which is the RetComm 1.0 system to analyse the vibration signal and monitor the condition of the bearing. The algorithm used to observe the condition of bearing is trained by using Artificial Neural Network (ANN). In this project, the ANN is trained by using Matlab software. This proposed method is implemented for early diagnosis purposes. The diagnosis process can be done by just attached the smartphone onto the bearing for data collection. In conclusion, the bearing condition can be identified with this system. The bearing condition are shown in text to let the user know the bearing conditions. The raw data and power spectrum graph plotting are to let the user more further to understand the health condition of the bearing.
    Type of Medium: Online Resource
    ISSN: 2261-236X
    Language: English
    Publisher: EDP Sciences
    Publication Date: 2018
    detail.hit.zdb_id: 2673602-0
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  • 4
    In: Advanced Materials Research, Trans Tech Publications, Ltd., Vol. 832 ( 2013-11), p. 243-247
    Abstract: Copper oxide is a low cost material, easy process fabrication and sensitivity to ambient conditions. Therefore, it is a suitable p-type semiconductor oxides material to be used as a gas sensing material. In order to raise the sensitivity of the copper oxide gas sensor, study on the correspondence in between the coated thin film with coating parameters is an important part. In current study, optical emission spectroscopy is used to investigate the reactive magnetron sputtering plasma during the deposition of copper oxide thin film. The measurement point was focused at roughly 2cm above the substrate holder. The emission of copper, oxygen and argon in the reactive magnetron sputtering were observed at various plasma conditions. In general, the emission of copper, oxygen and argon increased when the discharge rf power is increased. On the other hand, oxygen line intensity was found to be excess when the oxygen flow rate is above 8sccm. The result suggests the best condition to deposit the copper oxide thin film using solid 3 copper target.
    Type of Medium: Online Resource
    ISSN: 1662-8985
    URL: Issue
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2013
    detail.hit.zdb_id: 2265002-7
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  • 5
    In: Advanced Materials Research, Trans Tech Publications, Ltd., Vol. 925 ( 2014-4), p. 238-242
    Abstract: There are several techniques to deposit the metal oxide thin film such as electron beam evaporator, pulse laser deposition and reactive magnetron sputtering deposition. In this experiment, magnetron sputtering deposition techniques will be used to produce a copper oxide thin film due to its simplicity and repeatability performance. Recently, copper oxide thin film has been studied because of its low cost material, sensitivity to ambient condition and easiness to produce oxide thin film. It is one of the p-type semiconductor oxides materials that are suitable to be used as a gas sensing material. In order to increase the sensitivity and to optimize the properties of copper oxide thin film, it is essential to study on the plasma properties during the deposition of copper oxide. In current studies, Langmuir probe was used to investigate the effect of substrate bias towards the fabrication of copper oxide thin film at rf dissipation power of 400 W. The oxygen flow rate was fixed at 8sccm. The Langmuir probe tip was focus at roughly 2 cm above the substrate holder. The ion and electron current were collected from the plasma environment. Then the electron temperature, electron density, ion density, ion flux, Debye length and plasma potential at various substrate biases were evaluated from the current-voltage curve. The electron temperature at various oxygen flow rates was almost unchanged. The effect of substrate bias toward the electron temperature was also almost unseen, except that the electron temperature at-40 V bias voltage was slightly lower than others. In addition, the ion flux at the same plasma condition shows that the ion flux was higher at-40 V substrate bias voltage. The results suggest that the ion bombardment effect toward the deposited copper oxide thin film would be higher at low oxygen flow rate. Thus it will create a rough surface morphology or nanostructured copper oxide thin film. This is a potential ways to improve the sensitivity of copper oxide gas sensor.
    Type of Medium: Online Resource
    ISSN: 1662-8985
    URL: Issue
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2014
    detail.hit.zdb_id: 2265002-7
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  • 6
    Online Resource
    Online Resource
    Institute of Electrical Engineers of Japan (IEE Japan) ; 2010
    In:  IEEJ Transactions on Industry Applications Vol. 130, No. 7 ( 2010), p. 838-846
    In: IEEJ Transactions on Industry Applications, Institute of Electrical Engineers of Japan (IEE Japan), Vol. 130, No. 7 ( 2010), p. 838-846
    Type of Medium: Online Resource
    ISSN: 0913-6339 , 1348-8163
    Language: English
    Publisher: Institute of Electrical Engineers of Japan (IEE Japan)
    Publication Date: 2010
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  • 7
    Online Resource
    Online Resource
    Institute of Electrical Engineers of Japan (IEE Japan) ; 2010
    In:  IEEJ Transactions on Industry Applications Vol. 130, No. 4 ( 2010), p. 443-449
    In: IEEJ Transactions on Industry Applications, Institute of Electrical Engineers of Japan (IEE Japan), Vol. 130, No. 4 ( 2010), p. 443-449
    Type of Medium: Online Resource
    ISSN: 0913-6339 , 1348-8163
    Language: English
    Publisher: Institute of Electrical Engineers of Japan (IEE Japan)
    Publication Date: 2010
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  • 8
    Online Resource
    Online Resource
    Institute of Advanced Engineering and Science ; 2021
    In:  Bulletin of Electrical Engineering and Informatics Vol. 10, No. 6 ( 2021-12-01), p. 3341-3352
    In: Bulletin of Electrical Engineering and Informatics, Institute of Advanced Engineering and Science, Vol. 10, No. 6 ( 2021-12-01), p. 3341-3352
    Abstract: This paper proposes a leaf identification system using convolutional neural network (CNN). This proposed system can identify five types of local Malaysia leaf which were acacia, papaya, cherry, mango and rambutan. By using CNN from deep learning, the network is trained from the database that acquired from leaf images captured by mobile phone for image classification. ResNet-50 was the architecture has been used for neural networks image classification and training the network for leaf identification. The recognition of photographs leaves requested several numbers of steps, starting with image pre-processing, feature extraction, plant identification, matching and testing, and finally extracting the results achieved in MATLAB. Testing sets of the system consists of 3 types of images which were white background, and noise added and random background images. Finally, interfaces for the leaf identification system have developed as the end software product using MATLAB app designer. As a result, the accuracy achieved for each training sets on five leaf classes are recorded above 98%, thus recognition process was successfully implemented.
    Type of Medium: Online Resource
    ISSN: 2302-9285 , 2089-3191
    URL: Issue
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2021
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  • 9
    Online Resource
    Online Resource
    International Association of Online Engineering (IAOE) ; 2023
    In:  International Journal of Interactive Mobile Technologies (iJIM) Vol. 17, No. 12 ( 2023-06-20), p. 132-148
    In: International Journal of Interactive Mobile Technologies (iJIM), International Association of Online Engineering (IAOE), Vol. 17, No. 12 ( 2023-06-20), p. 132-148
    Abstract: Aquaponics is a farming practice that combines the benefits of hydroponics and aquaculture.  An Internet of Things (IoT) aquaponics system is used to help collect vast amounts of ecological and agricultural data.  An aquaponics system, including a fish tank and planting area, has been completed and set up as an experimental field.  The main objectives of this project are to develop and design a monitoring system for aquaponics that can be utilised in many aspects.  This project utilises Arduino, Wi-Fi shield and Android applications for monitoring purposes.  A pH sensor, temperature and servo motor are used to retrieve and store the data on the Favoriot platform.  The result obtained from the sensors was degree temperature, soil moisture, pH, and automatic fish feeder.  The system acquires an average performance of 92.5%, considering the data receive and system functionality.  In conclusion, the project can monitor the water temperature, soil moisture, pH and provide notifications through the mobile application of the aquaponic monitoring system.
    Type of Medium: Online Resource
    ISSN: 1865-7923
    Language: Unknown
    Publisher: International Association of Online Engineering (IAOE)
    Publication Date: 2023
    detail.hit.zdb_id: 2406982-6
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  • 10
    Online Resource
    Online Resource
    Institute of Advanced Engineering and Science ; 2020
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 18, No. 1 ( 2020-04-01), p. 188-
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 18, No. 1 ( 2020-04-01), p. 188-
    Abstract: 〈 span 〉 The field of automated vehicle technology is developing rapidly developing. While it is likely to be many years before self-driving cars are commercially viable and used in a wide range of conditions by the general public, technological advances are speeding along the automated technology continuum towards this destination. Automated vehicle technologies troth with significant social benefits such as reduced injuries and deaths, increased road efficiency, mobility. Automated vehicles can improve traffic safety, balance traffic flows, maximize road usage by offering driver warnings and/or assuming vehicle control in dangerous situations, as well as provide motorists with the best end-to-end transportation experience and reduce emissions, which are the most important goals of modern smart traffic control infrastructures. Exchanging data and integration of such systems with Vehicle-to-Vehicle (V2V) may be a keystone to successful readying of vehicular ad-hoc networks (VANETs) and will simply be the following step of this evolution, with dynamic period of time data exchange between all the players of the traffic dominant system and fostering cooperative urban quality. One of the applications of this concept is to provide vehicles and roads with the ability to make road time more enjoyable and also to make roads safer. These applications are typical examples of what an Intelligent Transportation System (ITS) is called, whose objective is to improve security by using new information and communication technologies (NTIC). In this paper, we will focus on the study of the main component in ITS systems and present a review of the major V2V benefits related to driver safety by focusing primarily on the recent developments of these systems. 〈 /span 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2020
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