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International Conference on Computer Applications and Industrial Electronics (ICCAIE)

作者： Wandy Wandy Kusworo Adi Media Anugerah Ayu Doctoral Program of Information Systems School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Physics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia Department of Computer Science Faculty of Engineering and Technology Sampoerna University South Jakarta Indonesia

Sports Science is an interdisciplinary and multidisciplinary science that strives to increase athletic performance and endurance. Sport Science recognizes and prevents injuries. Sensors and statistics formalize Sports Science. Runners need coaches and teams to support them before, during, and after the run race. Coaches generate running training plans to boost performance. Running race performances may be impacted by air pollution exposure while training, so coaches should consider limiting air pollution exposure when training. One of the external factors is Particulate Matter (PM 2.5 and PM 10 ). Sensors connecting to the Internet can record external factors and produce csv data. The foundation of supervised machine learning is the labeling process. Labeling a set of data is one of the laborious and time-consuming phases in every machine-learning application because it requires verifying the accuracy of the labels and making any necessary revisions. This research aimed to find a solution to automatically label numerous air particulate matter raw data using a rule based on parameters to reduce manual work, human errors and faster processes. This labeled data will later be used for supervised machine learning classification to support the coach in generating training programs for the runners in a Sports information System. Based on Indonesia Air Quality index rule-based approach, labeled text data in csv has been generated and tested with PM 2.5 and PM 10 parameters in three scenarios with a 100% success rate. It was possible to automate the labeling process, and it explained how automation results in fast and accurate results.

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International Conference of Computer and Informatics Engineering (IC2IE)

ISBN: (数字)9798331505530

ISBN: (纸本)9798331505547

Full-marathon and Half-marathon distances are categorized as road running. Full-marathon running is becoming increasingly popular, and Half-marathon is increasing worldwide in both sexes and all age groups. Some aspects might relate to Full-marathon and Half-marathon running performance during training and races. technology also plays an essential role in supporting runners and running races. technology like artificial intelligence (AI) now supports the running athlete, not only predicting performance and results. It can also be used later to help the coach generate training programs for the athlete. This research aimed to find many aspects of marathons and performance and analyze them to see if artificial intelligence could later support them. It used secondary data and a systematic literature review proposed by Kitchenham. Out of the 58 articles, 21 of them (36.21%) received a score of 1 from Q1. Additionally, 19 articles (32.76%) received a score of 1 from both Q2 and Q3. Among the 58 articles, 9 (15.52%) received a total score of 3, with all three Q1, Q2, and Q3 scores being 1. This indicates that artificial intelligence will likely support the content of these nine articles. Several factors were also discovered to be connected to marathons and athletic performance. These findings suggested that additional investigation into marathons and performance, later backed by artificial intelligence, remained pertinent and essential.

关键词： Training Roads Artificial intelligence Informatics

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A Survey on the Impact of Data Analytics and Machine Learning Techniques in E-commerce

A Survey on the Impact of Data Analytics and Machine Learnin...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： S Dheva Rajan Sivajee Vavilapalli Shahriar Hasan Ritesh Kumar Nafisa Rafa Iskandar Muda Information Technology University of Technology and Applied Sciences Almusannah Sultanate of Oman Department of Management Studies Vignan’s Institute of information technology (A) Duvvada Visakhapatnam Department of Finance University of Dhaka Bangladesh Maharishi School of Engineering and Technology Lucknow Uttar Pradesh India BBA in Marketing Institute of Business Administration University of Dhaka Dhaka Bangladesh Department of Doctoral Program Faculty Economic and Business Universitas Sumatera Utara Medan Indonesia

Current article has been developed for understanding the impact of data analytics and machine learning technique in e-commerce. If the observation has been developed for the current market of this technology it can be detected that real-life industry increases their investment which showed the interest in getting advantages. Identification of the problem of costing and different algorithm suitability objectives has been set for understanding the real impact of e-commerce. Secondary data collection has been used for understanding the different usability of machine learning and data analytics for e-commerce. It has been detected that using machine learning brings the benefits of automation and improves continuous growth. Data analytics provide the scope of accuracy build-up. Apart from this different area of application and the different techniques has been analyzed. Understanding become easier and the scope of future benefits can be identified.

关键词： Industries Data analysis Machine learning algorithms Decision making Machine learning Electronic commerce Object recognition

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Foresight scenario analysis of motor system of electric vehicle

Foresight scenario analysis of motor system of electric vehi...

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26th Electric Vehicle Symposium 2012, EVS 2012

作者： Shiue, Yih-Chearng Chen, Peng-Jen Lee, Chang-Franw Yu, Chih-Chiang Chen, Chih-Wei Department of Information Management National Central University No.300 Jhongda Rd. Jhongli City Taoyuan County 32001 Taiwan Graduate School of Design Doctoral Program National Yunlin University of Science and Technology No. 123 University Road Douliou Yunlin 64002 Taiwan Department of Industrial Design National Yunlin University of Science and Technology No. 123 University Road Douliou Yunlin 64002 Taiwan Department of Business Administration National Central University No.300 Jhongda Rd. Jhongli City Taoyuan County 32001 Taiwan

ISBN: (纸本)9781622764211

In order to describe the trend of motor system development of electric vehicle and to figure out the factors that would affect the external drives and the internal resources, the thesis uses scenario analysis method to be the basic framework, adding modified Delphi method to clarify time transition into five categories: changeless, changeable, disappeared, uncertain states and newborn. More precisely, the five factors is used to construct "Scenario Analysis of Markov Modified Delphi Method". The thesis focuses on motor system to do the Foresight analysis, using the transition concept of Markov Chain to clarify the key factors of uncertain states into motor system: brushless DC (BLDC) motor, surface permanent magnet synchronous motor and Switched Reluctance In-Wheel Motor. Moreover, the changeless concept of Markov Chain is used to be background, adding the key factors of changeable and uncertain states to clarify seven kinds of scenario portfolio: basic scenario, scenario assumption I, scenario assumption II, future scenario, breakthrough scenario I, breakthrough scenario II and challenge scenario. It could make the government, industries and related departments realize the development trend of key components about electric vehicle by the scenario descriptions. It can increase their willingness to invest in the related researches to achieve future image, also shape the usable engineering technique and integrated system concepts of electric vehicles in 2020 for public.

关键词： Electric vehicles

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PGP-based security enhanced mail gateway (SEMAIL) with POP authentication for large scale organizations

PGP-based security enhanced mail gateway (SEMAIL) with POP a...

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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： S. Chihara K. Katagishi A. Vasilache T. Asami H. Murakami K. Toraichi Doctoral Program University of Tsukuba Tsukubashi Ibaraki Japan Institute of Information Sciences and Electronics University of Tsukuba Japan Japan Science and Technology Corporation University of Tsukuba TARA Center KDDI R&D Laboratories Inc. Japan KDDI Corporation Japan

In this paper, we propose a security tool for security enhanced mail gateway (SEMAIL). SEMAIL is a mail server package designed to provide PGP (pretty good privacy)-based e-mail security to all the members of an organization. SEMAIL is attempting to solve the problems incurred by implementing PGP in large scale organizations. In this paper we introduce a POP before SMTP implementation that authenticates users before sending messages using SMTP. POP before SMTP for SEMAIL is designed to perform user level authentication in such way that the number of "receive before send" requests for the purpose of authentication is drastically reduced. Moreover, it overcomes problems induced by the ordinary implementation in a DHCP environment. As a result, SEMAIL with POP before SMTP is expected to become more secure and practical for large scale organizations.

关键词： Postal services Authentication Large-scale systems Electronic mail information security Internet Protection Systems engineering and theory Research and development Laboratories

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Sonar-based obstacle avoidance using a path correction method for autonomous control of a biped robot for the Learning Stratification and Performance

Sonar-based obstacle avoidance using a path correction metho...

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IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010

作者： Tsai, Cheng-Hsuan Huang, Po-Hsuan Chou, Wei-Chung Shih, Chia-Hung Chen, Chen-Yuan Shih, Bih-Yaw Chang, Chin-Jui Chen, Cheng-Wu Chen, Tsung-Hao Lee, Wan-I. Chung, Pei-Yin Department of Computer Science National Pingtung University of Education No. 4-18 Ming Shen Rd. Pingtung 90003 Taiwan Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department of Information Management Transworld University No. 1221 Jen-Nang Road Chia-Tong Li Douliou Yunlin 64063 Taiwan Institute of Maritime Information and Technology National Kaohsiung Marine University No.142 Haijhuan Rd. Nanzih District Kaohsiung City 81143 Taiwan Departments of Business Administration Shu-Te University Yen Chau Kaohsiung 82445 Taiwan Marketing and Distribution Management National Kaohsiung First University of Science and Technology 2 Jhuoyue Rd. Nanzih Kaohsiung 811 Taiwan Department of Information Management Meiho University 23 Pingguang Rd. Neipu Pingtung Taiwan

ISBN: (纸本)9781424485031

In this paper, a simple path correction and obstacle avoidance method with a bipedal robot for the learning stratification and performance, using an ultrasonic sensor and electronic compass sensor, is proposed. This bipedal robot was comprised using the Lego NXT Intelligent Bricks. The proposed method is implemented on an autonomous humanoid robot (the ARSR). One ultrasonic sensor and one electronic compass sensor are installed on the ARSR to detect environmental information including obstacles, the distance to the obstacle, and the directional angle of the robot. Based on the obtained information, an obstacle avoidance and path correct method is proposed to decide the ARSR's behavior so that it can avoid obstacles and move effectively to the destination area. Obstacle avoidance experiments are carried out to confirm the effectiveness of the proposed method and confirm the learning stratification and performance. ©2010 IEEE.

关键词： Ultrasonic sensors

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A lightweight method for wireless sensor network intrusion detections

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ICIC Express Letters 2013年第6期7卷 1793-1798页

作者： Chen, Rung-Ching Hsieh, Chia-Fen Huang, Yung-Fa Department of Information Management College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan Graduate Institute of Informatics Doctoral Program College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan Department of Information and Communication Engineering College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan

Wireless sensor networks can be applied to health care and disaster response, etc. The importance and accuracy of the information requirements of wireless sensors are more stringent. It corresponding to the use of information security should be taken seriously. The detection technology of intrusion detection system (IDS) will affect the lifetime of entire wireless sensor network (WSN). This study combines ontology with intrusion detection system to propose a lightweight ontology intrusion detection system (OWIDS). The system builds the relationship of sensor node in the ontology to detect Sybil attack firstly. The patrol node loads a part of the ontology to detect Sybil attack. Finally, the system uses the isolation table to continue isolation abnormal nodes to avoid duplicate detection energy-consuming. The preliminary experimental result shows that our proposed method can reduce the energy consumption for wireless sensor network intrusion detection, and improve the availability of intrusion detection systems. © 2013 ISSN 1881-803X.

关键词： Ontology

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A preliminary study on design and development of template-based for license plate recognition system applying artificial coordinates auxiliary techniques

A preliminary study on design and development of template-ba...

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IEEE International Conference on Industrial Engineering and Engineering Management

作者： Bih-Yaw Shih Chen-Yuan Chen Jin-Wei Kuo Po-Wei Chen Tsung-Hao Chen Cheng-Wu Chen Pei-Yin Chung Wan-I Lee Department of Computer Science National Ping Tung University of Education Ping Tung Taiwan Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Departments of Business Administration Shu Te University Kaohsiung Taiwan Institute of Maritime Information and Technology National Kaohsiung Marine University Taiwan Department of Information Management Meiho University Ping Tung Taiwan Marketing and Distribution Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan

With the rapid improvement of technology and economy, the percentage of transportation, like automobile, gradually increases. However, the number of cars increases, the methods of management stretches lots of problems, such as parking, traffic and thievery. Hence, Intelligent Transportation System (ITS) have been emphasized step by step and set up one after another around the world. In addition, ITS also established in Taiwan on July 20, 1998.

关键词： Licenses Image color analysis Image recognition Color Vehicles Computer science

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Sonar-based obstacle avoidance using a path correction method for autonomous control of a biped robot for the learning stratification and performance

Sonar-based obstacle avoidance using a path correction metho...

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IEEE International Conference on Industrial Engineering and Engineering Management

作者： Cheng-Hsuan Tsai Po-Hsuan Huang Wei-Chung Chou Chia-Hung Shih Chen-Yuan Chen Bih-Yaw Shih Chin-Jui Chang Cheng-Wu Chen Tsung-Hao Chen Wan-I Lee Pei-Yin Chung Department of Computer Science National Ping Tung University of Education Ping Tung Taiwan Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department of Information Management Transworld University Yunlin Taiwan Institute of Maritime Information and Technology National Kaohsiung Marine University Kaohsiung Taiwan Departments of Business Administration Shu Te University Kaohsiung Taiwan Marketing and Distribution Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department of Information Management Meiho University Ping Tung Taiwan

关键词： Robot sensing systems Acoustics Mobile robots Servomotors Compass Service robots

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New quantum circuit architecture for classifying big data

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IOP Conference Series: Materials Science and Engineering 2021年第1期1088卷

作者： Solikhun Syahril Efendi Muhammad Zarlis Poltak Sihombing Doctoral Program Faculty of Computer Science and Information Technology Universitas Sumatera Utara Faculty of Computer Science and Information Technology Universitas Sumatera Utara

This research is motivated by the incomplete use of quantum in existing learning algorithms, so that the proposed learning algorithm is not optimal. Research (Fahri & Neven, 2018) shows that the proposed method of architectural form still uses classical architecture but inputs, weights and targets already use a quantum approach. Based on the results of previous studies, it shows that quantum computing is better than classical computation. Many researchers use quantum computing in the proposed learning algorithm. The model proposed is a quantum circuit architecture with the quantum perceptron method consisting of a quantum bit gate that uses a quantum computational approach as the architecture of the quantum perceptron learning algorithm. Then the authors conduct training and testing of the proposed quantum circuit architecture to test the quantum circuit model that the author proposes. The result of this research is a quantum circuit model with the quantum perceptron method which can be used to solve the learning optimization problem by using a quantum circuit architecture with 5 measurement measurements to show error training and testing = 0, with 9 measurements showing an error training of 1.13%, error testing 2.06%.

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