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International Conference on computer, Control, Informatics and Its Applications (IC3INA)

作者： Karto Iskandar Ford Lumban Gaol Benfano Soewito Harco Leslie Hendric Spits Warnars Raymondus Kosala Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Binus Graduate Program Bina Nusantara University West Jakarta DKI Jakarta ID School of Computer Science

ISBN: (纸本)9781509023240

Knowledge Management portal is a system to support Knowledge Management process, in order to create, capture, develop, share, reuse and optimize the knowledge and particularly in Bina Nusantara University which has implemented Knowledge Management System (KMS) since 2002. However, this KMS need to be measured in order to know how better this KMS in term of the software size. The binus KMS will be measured in term of their software size in functionality perspective with use case point method. This metric of KMS will be used by management to know how better the software size, complexity level and effort to development in numbering. Measurement of software size with software metric such as Use Case Point upon use case diagram for binus knowledge Management Portal shows that the project has medium software size with score Use Case Point (UCP) = 108.56 and has estimate effort will be developed in 2,064 hours (or in 258 days or 51.6 weeks or 12.9 months) and has development cost for 516,000,000.00 rupiah (Indonesian currency). Use Case Point, estimate effort and project value will powerful to help management in order to make decision regarding the implementation of IT software project development in term of time, money and people.

关键词： Software Software measurement Complexity theory Size measurement Knowledge management Unified modeling language Portals

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The Analysis of Alpha Beta Pruning and MTD(f) Algorithm to Determine the Best Algorithm to be Implemented at Connect Four Prototype

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IOP Conference Series: Materials science and Engineering 2017年第1期190卷

作者： Lukas Tommy Mardi Hardjianto Nazori Agani Graduate Program of Master of Science in Computer Science Budi Luhur University Jl. Ciledug Raya Petukangan Utara Kebayoran Lama South Jakarta 12260

Connect Four is a two-player game which the players take turns dropping discs into a grid to connect 4 of one's own discs next to each other vertically, horizontally, or diagonally. At Connect Four, computer requires artificial intelligence (AI) in order to play properly like human. There are many AI algorithms that can be implemented to Connect Four, but the suitable algorithms are unknown. The suitable algorithm means optimal in choosing move and its execution time is not slow at search depth which is deep enough. In this research, analysis and comparison between standard alpha beta (AB) Pruning and MTD(f) will be carried out at the prototype of Connect Four in terms of optimality (win percentage) and speed (execution time and the number of leaf nodes). Experiments are carried out by running computer versus computer mode with 12 different conditions, i.e. varied search depth (5 through 10) and who moves first. The percentage achieved by MTD(f) based on experiments is win 45,83%, lose 37,5% and draw 16,67%. In the experiments with search depth 8, MTD(f) execution time is 35, 19% faster and evaluate 56,27% fewer leaf nodes than AB Pruning. The results of this research are MTD(f) is as optimal as AB Pruning at Connect Four prototype, but MTD(f) on average is faster and evaluates fewer leaf nodes than AB Pruning. The execution time of MTD(f) is not slow and much faster than AB Pruning at search depth which is deep enough.

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The implementation of computer based instruction model on Gost Algorithm Cryptography Learning

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IOP Conference Series: Materials science and Engineering 2018年第1期420卷

作者： Tonni Limbong Janner Simarmata ARS Tambunan Parulian Siagian Joel Panjaitan Lestina Siagian Erbin Sitorus Marvin Frans Sakti Hutabarat Abba Suganda Girsang Katen Lumbanbatu Universitas Katolik Santo Thomas Jalan Setia Budi No. 479 F Tanjung Sari Tj. Sari Medan Selayang 20132 Medan - Indonesia Universitas Negeri Medan Jalan Willem Iskandar Pasar V Medan 20221 Medan - Indonesia Universitas HKBP Nommensen Jalan Sutomo No.4A Perintis Medan Timur 20235 Medan - Indonesia Akademi Teknik Deli Serdang Jl. Sultan Hasanuddin Tj. Garbus Satu Lubuk Pakam 20518 Deli Serdang – Indonesia Institut Sains dan Teknologi TD Pardede Jl. Dokter TD Pardede No. 21 Medan Baru 20152 Medan – Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia STMIK Kaputama Jl. Veteran No. 4A - 9A Tangsi 20714 Binjai - Indonesia

The objective of this study is to develop learning media by using the computer Based Instruction (CBI) model for GOST algorithm cryptographic material (Gosudarstvennyi Standard). Besides, the study serves to present learning using computer media, especially in the Informatics Engineering study program. The method used in this study uses the Research and Development (R & D) method. The results of this development research are learning media products in the form of tutorial CDs with the contents of the material: GOST Cryptographic Theory, Encryption Process and Decryption process using alphabet text data. Based on the results of the application and testing of the program, it can be concluded that this application is easy to use. Learning the Gost algorithm in the encoding method utilizing the computer Based Instructions (CBI) method helps to understand the material and facilitate the learning process.

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Nearest greedy for solving the waste collection vehicle routing problem: A case study

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AIP Conference Proceedings 2017年第1期1905卷

作者： Nur Azriati Mat Aida Mauziah Benjamin Syariza Abdul-Rahman Antoni Wibowo 1Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 2Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 3Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 4Computer Science Department Binus Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

This paper presents a real case study pertaining to an issue related to waste collection in the northern part of Malaysia by using a constructive heuristic algorithm known as the Nearest Greedy (NG) technique. This technique has been widely used to devise initial solutions for issues concerning vehicle routing. Basically, the waste collection cycle involves the following steps: i) each vehicle starts from a depot, ii) visits a number of customers to collect waste, iii) unloads waste at the disposal site, and lastly, iv) returns to the depot. Moreover, the sample data set used in this paper consisted of six areas, where each area involved up to 103 customers. In this paper, the NG technique was employed to construct an initial route for each area. The solution proposed from the technique was compared with the present vehicle routes implemented by a waste collection company within the city. The comparison results portrayed that NG offered better vehicle routes with a 11.07% reduction of the total distance traveled, in comparison to the present vehicle routes.

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A study on fitness function with parameter-free genetic algorithm for non-destructive estimation of permittivity distribution based on capacitance and electric potential

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IEEJ Transactions on Fundamentals and Materials 2016年第4期136卷 164-173页

作者： Ohchi, Masashi Tomiyama, Kazuyoshi Furukawa, Tatsuya Itoh, Hideaki Fukumoto, Hisao Department of Electrical Electronics and Computer Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Graduate School of Science and Engineering Saga University 1 Honjo-machi Saga840-8502 Japan

We have carried out experimental and numerical analyses for reconstruction of permittivity distribution using a pair of long distance small size electrodes and additional arc electrodes. A reconstruction method for permittivity distribution that uses a genetic algorithm and numerical analysis (finite element method) based on measured capacitance has been proposed and investigated. However, the conventional method had a problem in accuracy. In this paper, the reconstruction method has been improved by using a Parameter-free Genetic Algorithm(PfGA) based on measured capacitance and electric potential. In addition, we have evaluated the fitness function with PfGA. © 2016 The Institute of Electrical Engineers of Japan.

关键词： Finite element method

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Evaluation of Recursive Background Subtraction Algorithms for Real-Time Passenger Counting at Bus Rapid Transit System

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Procedia computer science 2015年 59卷 445-453页

作者： Jonathan Samuel Lumentut Fergyanto E. Gunawan Diana School of Computer Science Bina Nusantara University Jl. K. H. Syahdan 9 Jakarta 11480 Indonesia Binus Graduate Program Bina Nusantara University Jl. Kebon Jeruk Raya No. 27 Jakarta 11480 Indonesia

This work discusses a method to count the number of passengers waiting in Bus Rapid Transit station. The proposed system relies on computer vision technique to monitor the movement of passengers crossing doors on the station. In this work, three background subtraction techniques, namely, Running Gaussian Average, Gaussian Mixture Model, and Adaptive Gaussian Mixture Model, were used to count the passengers crossing an entrance on a BRT station from a pre-recorded motion picture. The results indicates that the tree algorithms are able to identify the passenger crossing with a reasonable high level of recall and but low level of precision. These results indicates that many false positives are identified by the three algorithms. In addition, the empirical data indicate that the three algorithms tend to have better performance with higher value of the learning rate.

关键词： computer vision Passenger counting system Background subtraction Bus rapid transit

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Metadata Correction: Importance-Performance Analysis of Personal Health Records in Taiwan: A Web-Based Survey

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Journal of medical Internet research 2017年第6期19卷 e209页

作者： Hsiao-Hsien Rau Yi-Syuan Wu Chi-Ming Chu Fu-Chung Wang Min-Huei Hsu Chi-Wen Chang Kang-Hua Chen Yen-Liang Lee Senyeong Kao Yu-Lung Chiu Hsyien-Chia Wen Anis Fuad Chien-Yeh Hsu Hung-Wen Chiu Graduate Institute of Biomedical Informatics Taipei Medical University Taipei Taiwan. Administration Department Healthconn Corp Taipei Taiwan. Institute of Medical Informatics Department of Computer Science of Information Engineering National Cheng Kung University Tainan Taiwan. School Of Public Health National Defense Medical Center Taiepi Taiwan. National Health Insurance Administration Ministry of Health and Welfare Taiepi Taiwan. School of Nursing College of Medicine Chang Gung University Linkou Taiwan. Division of Endocrinology Department of Pediatrics Linkou Chang Gung Memorial Hospital Linkou Taiwan. Internet of Things Laboratory Chunghwa Telecom Laboratories TaoYuen Taiwan. School of Health Care Administration Taipei Medical University Taipei Taiwan. Department of Biostatistics Epidemiology and Population Health Faculty of Medicine Universitas Gadjah Mada Yogyakarta Indonesia. Department of Information Management National Taipei University of Nursing and Health Sciences Taipei Taiwan. Master Program in Global Health and Development Taipei Medical University Taipei Taiwan.

[This corrects the article DOI: .].

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Verification of relationship between heart rate and body movement for fatigue estimation

Verification of relationship between heart rate and body mov...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Jinhua She Hitoshi Nakamura Junya Imani Yasuhiro Ohyama Hiroshi Hashimoto Min Wu School of Information Science and Engineering Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Changsha China School of Computer Science Tokyo University of Technology Hachioji Japan Graduate School of Bionics Tokyo University of Technology Hachioji Japan Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Japan

It is an urgent need to find an objective way to estimate the degree of fatigue of employees. In this study, we designed a monitoring and estimation system for the degree of fatigue. This paper explains a long-term pedaling experiment that we use it to explore the possibility to use only the time sequence data of head movement during pedaling to estimate the fatigue. While we show the possibility for this through experimental data, it is clear that we need to collect more data to establish an estimation method.

关键词： Fatigue Heart rate Estimation Educational institutions Monitoring Correlation Electronic mail

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Measurement of capacitance and electrical potential of plural points for estimation of permittivity distribution

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IEEJ Transactions on Fundamentals and Materials 2013年第4期133卷 173-179+5页

作者： Okada, Shota Ohchi, Masashi Furukawa, Tatsuya Itoh, Hideaki Fukumoto, Hisao Master's Program in Electrical Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino 275-0016 Japan Department of Electrical Electronics and Computer Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino 275-0016 Japan Graduate School of Science and Engineering Saga University 1 Honjo-machi Saga 840-8502 Japan

Recently, a method for estimating permittivity distributions was reported. The method combined a numerical technique (Finite Element Method) with Genetic Algorithm (GA). However, methods for estimating the distribution of permittivity have not yet been established. The purpose of this study is to obtain experimental data in order to improve the estimation method. We measured capacitance and electrical potential of plural points when an acrylic rod is placed in various positions within a measurement system. © 2013 The Institute of Electrical Engineers of Japan.

关键词： Capacitance

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Human Touch Behavior Classification to Therapy Robot using SOM

Human Touch Behavior Classification to Therapy Robot using S...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Koji Makino Wasantha Samarathunga Hubais Abdelrahman Jin-Hua She Yasuhiro Ohyama Hiroshi Hashimoto Graduate school of medicine and Engineering University of Yamanashi School of Computer Science Tokyo University of Technology Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology

ISBN: (纸本)9781479902255

In this research, a classification method for human touching behaviors to haptic therapy robot is proposed. It is difficult to apply explicit discrete representation for human touch behaviors such as "slap", "pat" due to the existence of intermediate touch behavioral patterns. Therefore a new classification approach for human touch behaviors using Self Organizing Map (SOM) is proposed, using its ability to classify the nearby data in to a group. Further in this research the axis of out put maps are defined to be meaningful by specifying the initial placement of the input data during the training process.

关键词： Touch self-organising feature maps GRHL3 gene Classification Methods incoming data Robot Axis Human maps Medicine

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