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This paper introduces an information security threat modeling (ISTM) scheme, which leverages the strengths of software engineering and risk management approaches, called I-SERM. The proposed I-SERM scheme effectively and efficiently prioritizes information security threats for IT systems that utilize a large number of sensors, such as Internet of Things (IoT)-based energy systems. I-SERM operations include determining functional components, identifying associated threat types, analyzing threat items, and prioritizing key threats with the use of software engineering tools such as product flow diagrams, use case diagrams, and data flow diagrams. By simultaneously referring to a proposed STRIDE+p matrix and a defined threat breakdown structure with reference score (TBS+r) scheme, the I-SERM approach enables systematic ISTM. To demonstrate the usability of I-SERM, this study presents a practical case aimed at electricity load balancing on a smart grid. In brief, this study indicates a substantive research direction that combines the advantages of software engineering and risk management into a systematic ISTM process. In addition, the demonstration of I-SERM in practice provides a valuable and practical reference for I-SERM application, and contributes to research in the field of information security designs for IoT-based Energy Internet systems.
Yu-Tso Chen; Chuang-Chiao Huang. Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches. Inventions 2019, 4, 53 .
AMA StyleYu-Tso Chen, Chuang-Chiao Huang. Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches. Inventions. 2019; 4 (3):53.
Chicago/Turabian StyleYu-Tso Chen; Chuang-Chiao Huang. 2019. "Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches." Inventions 4, no. 3: 53.
Music is a series of harmonious sounds well arranged by musical elements including rhythm, melody, and harmony (RMH). Since music digitalization has resulted in a wide variety of new musical applications used in daily life, the use of music genre classification (MGC), especially MGC automation, is increasingly playing a key role in the development of novel musical services. However, achieving satisfactory performance of MGC automation is a practical challenge. This paper proposes a two-step approach for music genre classification (called TSMGC) on the strength of analytic hierarchy process (AHP) weighted musical features. Compared with other MGC approaches, the TSMGC has three strong points for better performance: (1) various musical features extracted from the RMH and the calculated entropy are comprehensively considered, (2) the weight of features and their impact values determined by AHP are applied on the basis of the Exponential Distribution function, (3) music can be accurately categorized into a main-class and further sub-classes through a two-step classification process. According to the conducted experiment, the result exhibits an accuracy rate of 87%, which demonstrates the potential for the proposed TSMGC method to meet the emerging needs of MGC automation.
Yu-Tso Chen; Chi-Hua Chen; Szu Wu; Chi-Chun Lo. A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features. Mathematics 2018, 7, 19 .
AMA StyleYu-Tso Chen, Chi-Hua Chen, Szu Wu, Chi-Chun Lo. A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features. Mathematics. 2018; 7 (1):19.
Chicago/Turabian StyleYu-Tso Chen; Chi-Hua Chen; Szu Wu; Chi-Chun Lo. 2018. "A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features." Mathematics 7, no. 1: 19.
For decades, the hydrogen economy (HE) has been considered an option in Taiwan's national sustainable energy plan, but its development is currently in a dilemmatic situation. This problem is not only hindering the progress of Taiwan's sustainable energy policy but also preventing the energy companies from setting competitive business strategies. This study investigates the key factors affecting the strategy planning for Taiwan's HE development, through a proposed technology foresight based research framework that extends from the introduction of Trends, Uncertainty factors to that of sketching Strategies (named TUS). The TUS inducts literature and specialist's expertise to perform data divergence, information convergence, and factors analysis with the use of Delphi and Theoretical Triangulation. The study result concludes eight key trends, seven key uncertainty factors, and sets six strategies for Taiwan. Furthermore, the demonstrated TUS practice and research findings provide considerable reference beneficial to the extension of future studies associated with HE.
Yu-Tso Chen; Chiung-Wen Hsu. The key factors affecting the strategy planning of Taiwan's hydrogen economy. International Journal of Hydrogen Energy 2018, 44, 3290 -3305.
AMA StyleYu-Tso Chen, Chiung-Wen Hsu. The key factors affecting the strategy planning of Taiwan's hydrogen economy. International Journal of Hydrogen Energy. 2018; 44 (6):3290-3305.
Chicago/Turabian StyleYu-Tso Chen; Chiung-Wen Hsu. 2018. "The key factors affecting the strategy planning of Taiwan's hydrogen economy." International Journal of Hydrogen Energy 44, no. 6: 3290-3305.
Carpooling on the strength of information and communications technology (ICT) has been a widely accepted concept to implement better transportation system. However in reality, most of current carpooling systems or applications are not functioned well as the expected. The reason varies according to the weakness of different carpooling designs. This paper reviews and analyzes literatures and projects in terms of carpooling applications through a proposed CRS analysis model. Based on the results of CRS analysis, this paper designs a Social Community based Carpooling (SCC) model with the feature of travel cost reduction for both supply and demand sides.The presented SCC scheme can provide a considerable business model for potential carpooling operators, indicate a valuable research direction of promoting carpooling services, and also implicate initiatives for environmental sustainability
Yu-Tso Chen; Chen-Heng Hsu. Improve the Carpooling Applications with Using a Social Community Based Travel Cost Reduction Mechanism. International Journal of Social Science and Humanity 2013, 87 -91.
AMA StyleYu-Tso Chen, Chen-Heng Hsu. Improve the Carpooling Applications with Using a Social Community Based Travel Cost Reduction Mechanism. International Journal of Social Science and Humanity. 2013; ():87-91.
Chicago/Turabian StyleYu-Tso Chen; Chen-Heng Hsu. 2013. "Improve the Carpooling Applications with Using a Social Community Based Travel Cost Reduction Mechanism." International Journal of Social Science and Humanity , no. : 87-91.
Chi-Chun Lo; Yu-Tso Chen; Yu-Wei Chuang. The network address translation problem of the home automation network: issues and solutions. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings. 2003, 1 .
AMA StyleChi-Chun Lo, Yu-Tso Chen, Yu-Wei Chuang. The network address translation problem of the home automation network: issues and solutions. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.. 2003; ():1.
Chicago/Turabian StyleChi-Chun Lo; Yu-Tso Chen; Yu-Wei Chuang. 2003. "The network address translation problem of the home automation network: issues and solutions." 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings. , no. : 1.