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  • 1
    Online Resource
    Online Resource
    Development of Educational Game for Primary School Mathematics using Microsoft Kinect
    Institute of Advanced Engineering and Science ; 2017
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 6, No. 2 ( 2017-05-01), p. 457-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 6, No. 2 ( 2017-05-01), p. 457-
    Abstract: 〈 p 〉 This research focuses on the design and development educational game using Microsoft Kinect. The edugame can be used as educational tool in a classroom as to create an interesting and interactive learning process. This research is also focused on mathematics as its educational content using Microsoft Visual C#, XNA Game Studio, Microsoft Kinect for Windows SDK, and Microsoft Kinect as the main hardware. There are about eleven topics regarding mathematics based on the module provided by the Malaysian Ministry of Education. The interface of the game has been designed and developed to be interactive and attractive using some cartoon graphics, such as Ipin, Boboiboy, and Yaya. The developed game is a quiz base program, where student will have 10 questions each round and 4 choices of answers for every question. Currently, this educational game is designed for Year 1, Year 2 and Year 3 primary school students, and it has been evaluated by a group of 8 students. Furthemore, it has been evaluated and validated by a school teacher, in which they confirm the effectiveness of the developed game to improve student’s learning on Mathematics. 〈 /p 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v6.i2
    DOI: 10.11591/ijeecs.v6.i2.pp457-463
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2017
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  • 2
    Online Resource
    Online Resource
    Prototype Design of Smart Home System using Internet of Things
    Institute of Advanced Engineering and Science ; 2017
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 7, No. 1 ( 2017-07-01), p. 107-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 7, No. 1 ( 2017-07-01), p. 107-
    Abstract: 〈 span lang="EN-AU" 〉 Smart home control system can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. However, it is still an open problem due to difficulties such as network distance, signal interference, not user friendly, increased cost and power consumption. This paper reviews various topics on smart home technologies including control system, smart home network, smart home appliance and sensor technologies for smart home. In this research, the proposed prototype of home automation allows users to remotely switch on or off any household appliance based on Internet of Things (IoT) with the enhancement of solar charger. The smartphone and/or tablet replaces the manual use of personal computer without the need for high additional cost. This prototype uses four types of sensors i.e. PIR sensor, temperature sensor, ultrasonic sensor and smoke gas sensor for automatic environmental control and intrusion detection. 〈 /span 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v7.i1
    DOI: 10.11591/ijeecs.v7.i1.pp107-115
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2017
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  • 3
    Online Resource
    Online Resource
    Performance Evaluation of Multichannel Audio Compression
    Institute of Advanced Engineering and Science ; 2018
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 10, No. 1 ( 2018-04-01), p. 146-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 10, No. 1 ( 2018-04-01), p. 146-
    Abstract: 〈 p 〉 In recent years, multichannel audio systems are widely used in modern sound devices as it can provide more realistic and engaging experience to the listener. This paper focuses on the performance evaluation of three lossy, i.e. AAC, Ogg Vorbis, and Opus, and three lossless compression, i.e. FLAC, TrueAudio, and WavPack, for multichannel audio signals, including stereo, 5.1 and 7.1 channels. Experiments were conducted on the same three audio files but with different channel configurations. The performance of each encoder was evaluated based on its encoding time (averaged over 100 times), data reduction, and audio quality. Usually, there is always a trade-off between the three metrics. To simplify the evaluation, a new integrated performance metric was proposed that combines all the three performance metrics. Using the new measure, FLAC was found to be the best lossless compression, while Ogg Vorbis and Opus were found to be the best for lossy compression depends on the channel configuration. This result could be used in determining the proper audio format for multichannel audio systems. 〈 /p 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v10.i1
    DOI: 10.11591/ijeecs.v10.i1.pp146-153
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2018
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  • 4
    Online Resource
    Online Resource
    Development of English Handwritten Recognition Using Deep Neural Network
    Institute of Advanced Engineering and Science ; 2018
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 10, No. 2 ( 2018-05-01), p. 562-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 10, No. 2 ( 2018-05-01), p. 562-
    Abstract: Due to the advanced in GPU and CPU, in recent years, Deep Neural Network (DNN) becomes popular to be utilized both as feature extraction and classifier. This paper aims to develop offline handwritten recognition system using DNN. First, two popular English digits and letters database, i.e. MNIST and EMNIST, were selected to provide dataset for training and testing phase of DNN. Altogether, there are 10 digits [0-9] and 52 letters [a-z, A-Z] . The proposed DNN used stacked two autoencoder layers and one softmax layer. Recognition accuracy for English digits and letters is 97.7% and 88.8%, respectively. Performance comparison with other structure of neural networks revealed that the weighted average recognition rate for patternnet, feedforwardnet, and proposed DNN were 80.3%, 68.3%, and 90.4%, respectively. It shows that our proposed system is able to recognize handwritten English digits and letters with high accuracy.
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v10.i2
    DOI: 10.11591/ijeecs.v10.i2.pp562-568
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2018
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  • 5
    Online Resource
    Online Resource
    Speech Enhancement based on Wiener Filter and Compressive Sensing
    Institute of Advanced Engineering and Science ; 2016
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 2, No. 2 ( 2016-05-01), p. 367-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 2, No. 2 ( 2016-05-01), p. 367-
    Abstract: 〈 p 〉 〈 em 〉 In communication medium to satisfy the speech enhancement process by using differents methodologies and algoirthms are the key term in testing the system design well enough to produce the best performance results for the speech system. The Wiener filter is one of the classical algorithm that applied to speech process to avoid the noise attacking the speech signal. In other word, compressive sensing method by randomize measurement matrix are combined with the Wiener filter to analyse the noisy speech signal with less introduce to noise signal and producing high signal to noise ratio. The PESQ is used to measure the quality of the proposed algorithm design. As in the experimental results shows that, attacking of defferent noise environments in speech signal still effectively improve the performance of noisy speech with maintain the high score of the PESQ quality.  〈 /em 〉 〈 em 〉 〈 /em 〉 〈 /p 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v2.i2
    DOI: 10.11591/ijeecs.v2.i2.pp367-379
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2016
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  • 6
    Online Resource
    Online Resource
    ECG-Based Driving Fatigue Detection Using Heart Rate Variability Analysis with Mutual Information
    MDPI AG ; 2023
    In:  Information Vol. 14, No. 10 ( 2023-10-02), p. 539-
    Details
    In: Information, MDPI AG, Vol. 14, No. 10 ( 2023-10-02), p. 539-
    Abstract: One of the WHO’s strategies to reduce road traffic injuries and fatalities is to enhance vehicle safety. Driving fatigue detection can be used to increase vehicle safety. Our previous study developed an ECG-based driving fatigue detection framework with AdaBoost, producing a high cross-validated accuracy of 98.82% and a testing accuracy of 81.82%; however, the study did not consider the driver’s cognitive state related to fatigue and redundant features in the classification model. In this paper, we propose developments in the feature extraction and feature selection phases in the driving fatigue detection framework. For feature extraction, we employ heart rate fragmentation to extract non-linear features to analyze the driver’s cognitive status. These features are combined with features obtained from heart rate variability analysis in the time, frequency, and non-linear domains. In feature selection, we employ mutual information to filter redundant features. To find the number of selected features with the best model performance, we carried out 28 combination experiments consisting of 7 possible selected features out of 58 features and 4 ensemble learnings. The results of the experiments show that the random forest algorithm with 44 selected features produced the best model performance testing accuracy of 95.45%, with cross-validated accuracy of 98.65%.
    Type of Medium: Online Resource
    ISSN: 2078-2489
    URL: Article
    DOI: 10.3390/info14100539
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2599790-7
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  • 7
    Online Resource
    Online Resource
    Fully Decentralized, Cost-Effective Energy Demand Response Management System with a Smart Contracts-Based Optimal Power Flow Solution for Smart Grids
    MDPI AG ; 2022
    In:  Energies Vol. 15, No. 12 ( 2022-06-19), p. 4461-
    Details
    In: Energies, MDPI AG, Vol. 15, No. 12 ( 2022-06-19), p. 4461-
    Abstract: Recent advances in control, communication, and management systems, as well as the widespread use of renewable energy sources in homes, have led to the evolution of traditional power grids into smart grids, where passive consumers have become so-called prosumers that feed energy into the grid. On the other hand, the integration of blockchain into the smart grid has enabled the emergence of decentralized peer-to-peer (P2P) energy trading, where prosumers trade their energy as tokenized assets. Even though this new paradigm benefits both distribution grid operators and end users in many ways. Nevertheless, there is a conflict of interest between the two parties, as on the one hand, prosumers want to maximize their profit, while on the other hand, distribution system operators (DSOs) seek an optimal power flow (OPF) operating point. Due to the complexity of formulating and solving OPF problems in the presence of renewable energy sources, researchers have focused on mathematical modeling and effective solution algorithms for such optimization problems. However, the control of power generation according to a defined OPF solution is still based on centralized control and management units owned by the DSO. In this paper, we propose a novel, fully decentralized architecture for an OPF-based demand response management system that uses smart contracts to force generators to comply without the need for a central authority or hardware.
    Type of Medium: Online Resource
    ISSN: 1996-1073
    URL: Article
    DOI: 10.3390/en15124461
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2437446-5
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  • 8
    Online Resource
    Online Resource
    Development of Quranic Reciter Identification System using MFCC and GMM Classifier
    Institute of Advanced Engineering and Science ; 2018
    In:  International Journal of Electrical and Computer Engineering (IJECE) Vol. 8, No. 1 ( 2018-02-01), p. 372-
    Details
    In: International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 8, No. 1 ( 2018-02-01), p. 372-
    Abstract: Nowadays, there are many beautiful recitation of Al-Quran available. Quranic recitation has its own characteristics, and the problem to identify the reciter is similar to the speaker recognition/identification problem. The objective of this paper is to develop Quran reciter identification system using Mel-frequency Cepstral Coefficient (MFCC) and Gaussian Mixture Model (GMM). In this paper, a database of five Quranic reciters is developed and used in training and testing phases. We carefully randomized the database from various surah in the Quran so that the proposed system will not prone to the recited verses but only to the reciter. Around 15 Quranic audio samples from 5 reciters were collected and randomized, in which 10 samples were used for training the GMM and 5 samples were used for testing. Results showed that our proposed system has 100% recognition rate for the five reciters tested. Even when tested with unknown samples, the proposed system is able to reject it.
    Type of Medium: Online Resource
    ISSN: 2088-8708 , 2088-8708
    URL: Issue
    URL: Article
    DOI: 10.11591/ijece.v8i1
    DOI: 10.11591/ijece.v8i1.pp372-378
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2018
    detail.hit.zdb_id: 2667127-X
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  • 9
    Online Resource
    Online Resource
    Performance Evaluation of Smart Home System using Internet of Things
    Institute of Advanced Engineering and Science ; 2018
    In:  International Journal of Electrical and Computer Engineering (IJECE) Vol. 8, No. 1 ( 2018-02-01), p. 400-
    Details
    In: International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 8, No. 1 ( 2018-02-01), p. 400-
    Abstract: Nowadays, many researches have been conducted on smart home. Smart home control system (SHCS) can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. We have proposed a smart home system using internet of things and four types of sensors, including PIR, temperature, ultrasonic, and smoke gas sensor for automatic environmental control and intrustion detection. In this paper, the performance of the previously developed prototype of smart home system will be evaluated. First, experiments on various sensors will be conducted. Next, the communicaton channel using wireless and Ethernet modules will be discussed. Moreover, the overall SHCS will be evaluated in terms of hardware and software performance. Additionaly, solar charger enhances the availability of our prototype system. Results showed the effectiveness of our proposed smart home system in the prototype and real life experiments.
    Type of Medium: Online Resource
    ISSN: 2088-8708 , 2088-8708
    URL: Issue
    URL: Article
    DOI: 10.11591/ijece.v8i1
    DOI: 10.11591/ijece.v8i1.pp400-411
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2018
    detail.hit.zdb_id: 2667127-X
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  • 10
    Online Resource
    Online Resource
    Low Bit Rate Video Coding for Remote Desktop Operation of CNC Milling
    Trans Tech Publications, Ltd. ; 2011
    In:  Advanced Materials Research Vol. 264-265 ( 2011-6), p. 1631-1636
    Details
    In: Advanced Materials Research, Trans Tech Publications, Ltd., Vol. 264-265 ( 2011-6), p. 1631-1636
    Abstract: Scalable Video Coding (SVC) is the extension of the H.264/AVC standard. The SVC has good capability in video transmission systems because of its scalability which can adapt in different network conditions, especially in low bit rate transmission. The objective of this paper is to develop the low bit rate video coding for assisting the remote operation of Command and Control (CNC) milling process through virtual simulation and remote desktop interface. The algorithm for low bit rate video coding will be in the downsampling of high resolution layer before the encoding process and upsampling the high layer data in the decoder. Based on simulation results, the proposed scheme shows good performance in maintaining the video quality at 128 kbps while providing high time savings for the encoding process.
    Type of Medium: Online Resource
    ISSN: 1662-8985
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMR.264-265
    DOI: 10.4028/www.scientific.net/AMR.264-265.1631
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2011
    detail.hit.zdb_id: 2265002-7
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