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International Symposium on Advanced Intelligent systems

作者： Kei Kitajima Yasunori Endo Master’s Program in Risk Engineering University of Tsukuba Ibaraki Japan Faculty of Engineering Information and Systems University of Tsukuba Ibaraki Japan

ISBN: (纸本)9781538626344;9781538626337

Clustering is a method of data analysis without the use of supervised data. Clustering method focusing on cluster size is expected to be useful for task distribution problems and several methods have been proposed. We proposed Fuzzy Even-sized Clustering Based on Optimization (FECBO) and COntrolled-sized Clustering Based on Optimization as a method focusing on cluster size. However, these methods have the problem that they are susceptible to noise. It is believed that this issue can be overcome by applying noise clustering method. Noise clustering is a method that it classify noise into noise clusters. In this study, we extend FECBO and COCBO with noise clustering and verify its effectiveness through numerical examples.

关键词： Clustering Machine learning Even-sized Noise clustering

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Evolutionary control method and swing up and stabilization control of inverted pendulum

Evolutionary control method and swing up and stabilization c...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Yasunobu H. Yamasaki Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba Japan Master's program in Science and Engineering University of Tsukuba Tsukuba Japan

The control of a nonlinear system where the characteristics are changing is difficult. In order to control the system, a study is needed to model during the execution and control. In this paper, a new evolutionary control method is proposed that combines the evolutionary modeling by on-line GA and predictive fuzzy control. This control method is applied to the control of inverted pendulum where characteristics are modified actively to the external factor. The effectiveness of this control method has been confirmed.

关键词： Control systems Humans Fuzzy control Nonlinear control systems Nonlinear systems Predictive models Fuzzy sets Control system synthesis Fuzzy systems systems engineering and theory

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Development of Training System and Practice Contents for Cybersecurity Education

Development of Training System and Practice Contents for Cyb...

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IIAI International Conference on Advanced Applied Informatics (IIAIAAI)

作者： Sanggyu Shin Yoichi Seto Yosuke Kasai Rituna Ka Daishi Kuroki Shinichi Toyoda Koji Hasegawa Kazuhiro Midorikawa Dept. of Applied Computer Engineering TOKAI University Hiratsuka-shi Japan Master Program of Information Systems Architecture Advanced Institute of Industrial Technology Tokyo Japan Master Program of Information Systems Architecture Advanced Institute of Industrial Technology

ISBN: (纸本)9781728126289

In this paper, we propose a cybersecurity exercise system in a virtual computer environment. The human resource development for security fields is an urgent issue because of the threat of cyber-attacks, recently, is increasing, many incidents occurring, but there is a not enough security personnel to respond. Some universities and companies are conducting education using a commercial training system on the market. However, built and operates the training system is expensive, therefore difficult to use in higher education institutions and SMEs. However, to build and operates, the training system needs high cost, thus difficult to use in higher education institutions and SMEs. For this reason, we developed the CyExec: a cybersecurity exercise system consisting of a virtual computer environment using VirtualBox and Docker. We also implemented the WebGoat that is an OSS vulnerability diagnosis and learning program on the CyExec and developed an attack and defense exercise program.

关键词： computer science education educational institutions further education security of data Educational institutions Continuing Education Data Security computer science education Network security higher education institute SUPERCONDUCTING MAGNETIC ENERGY STORAGE Security Personnel Training Functional training

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CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy

CAMRI Loss: Improving the Recall of a Specific Class without...

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作者： Nishiyama, Daiki Fukuchi, Kazuto Akimoto, Youhei Sakuma, Jun Master's Program in Computer Science Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Tsukuba-shi305-8577 Japan RIKEN Center for Advanced Intelligence Project Tokyo103-0027 Japan Department of Computer Science Faculty of Engineering Information and Systems University of Tsukuba Tsukuba-shi305-8577 Japan

In real world applications of multiclass classification models, misclassification in an important class (e.g., stop sign) can be significantly more harmful than in other classes (e.g., no parking). Thus, it is crucial to improve the recall of an important class while maintaining overall accuracy. For this problem, we found that improving the separation of important classes relative to other classes in the feature space is effective. Existing methods that give a class-sensitive penalty for cross-entropy loss do not improve the separation. Moreover, the methods designed to improve separations between all classes are unsuitable for our purpose because they do not consider the important classes. To achieve the separation, we propose a loss function that explicitly gives loss for the feature space, called class-sensitive additive angular margin (CAMRI) loss. CAMRI loss is expected to reduce the variance of an important class due to the addition of a penalty to the angle between the important class features and the corresponding weight vectors in the feature space. In addition, concentrating the penalty on only the important class hardly sacrifices separating the other classes. Experiments on CIFAR-10, GTSRB, and AwA2 showed that CAMRI loss could improve the recall of a specific class without sacrificing accuracy. In particular, compared with GTSRB's second-worst class recall when trained with cross-entropy loss, CAMRI loss improved recall by 9%. © 2023 The Institute of Electronics, Information and Communication Engineers.

关键词： Deep learning

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Creating Mathematical Models to Help Formulate Company Strategies for Knowledge Management System Implementation 9

Creating Mathematical Models to Help Formulate Company Strat...

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9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Pranata, Dewi Sagita BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta13220 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics Strands West MinsterWC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies. © 2024 IEEE.

关键词： Knowledge organization system (KOS)

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Activation of Coconut Shell - Randu Wood Biochar and Its Use as Heterogeneous Catalyst Support for Biodiesel Production 1

Activation of Coconut Shell - Randu Wood Biochar and Its Use...

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1st International Symposium of Indonesian Chemical engineering, ISIChem 2018

作者： Pradana, Y.S. Rochim, N. Mukaffa, H.S. Satriawan, H.B. Hidayat, A. Budiman, A. Chemical Engineering Department Faculty of Engineering Universitas Gadjah Mada Jalan Grafika No. 2 Yogyakarta55281 Indonesia Chemical Engineering Department Faculty of Industrial Technology University of Islam Indonesia Jalan Kaliurang KM 14 5 Yogyakarta55584 Indonesia Master Program of Systems Engineering Universitas Gadjah Mada Jalan Teknika Utara 3 Yogyakarta Indonesia

In the last decade, biodiesel has been considered as one of attractive biofuels in function of replacing fossil-based diesel fuel and concerning on reduction of greenhouse gas release. For biodiesel production, the use of heterogeneous catalyst is a challenge to minimize problems related to the use of homogeneous catalyst. One of potential heterogeneous catalyst is activated carbon-based catalyst. This study investigated the effect of activating agents (hydrochloric acid and sulfuric acid), its concentration (0.5, 1.0, 1.5 and 2.0 N) and activation time (1.5, 3.0, 4.5 and 6.0 h) on iodine number of activated biochar (from coconut shell and Randu wood). The results showed that the highest iodine number (749.14 mg/g) was obtained from coconut shell biochar activated by sulfuric acid at concentration of 2 N and activation time of 6 h. Moreover, BET analysis of the best activated biochar resulted 30.88 m2/gcat of surface area, 3.26 x 10-2 cm3/g of total pore volume and 2.11 nm of average pore radius. The performance test of this potassium-impregnated activated biochar in batch transesterification reaction (palm oil-methanol) presented 29.44 % of biodiesel conversion. © Published under licence by IOP Publishing Ltd.

关键词： Biodiesel

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Application of coconut-shell activated carbon as heterogeneous solid catalyst for biodiesel synthesis 6th

Application of coconut-shell activated carbon as heterogeneo...

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6th International Conference on engineering and Innovative Materials, ICEIM 2017

作者： Pradana, Yano Surya Hidayat, Arif Prasetya, Agus Budiman, Arief Chemical Engineering Department Faculty of Engineering Universitas Gadjah Mada Jalan Grafika No. 2 Yogyakarta55281 Indonesia Chemical Engineering Department University of Islam Indonesia Jalan Kaliurang KM 145 Yogyakarta55584 Indonesia Master Program of Systems Engineering Faculty of Engineering Universitas Gadjah Mada Jalan Teknika Utara No. 3 Yogyakarta55281 Indonesia

ISBN: (纸本)9783035712094

Biodiesel is a bio-based fuel for diesel engine synthesized from renewable oils isolated from oil crops or animal. Biodiesel can be produced through transesterification where the process involves a catalyst and an alcohol. The most common catalyst for this process is homogeneous liquid catalyst. However, this catalyst system suffers from environmental problems. In order to eliminate the problem, we developed potassium loaded on coconut-shell activated carbon (K/AC) as heterogeneous solid catalyst which is easily regenerated, leading to more secure and more environmental friendly application. The purpose of the present work is to demonstrate the biodiesel synthesis from palm oil using K/AC catalyst in stirred tank reactor. Reaction variables such as methanol-oil molar ratio and temperature were optimized to reach the highest conversion for 4 hours reaction time. The highest reaction conversion, 26.98%, was obtained at methanol-oil molar ratio of 6:1 and reaction temperature of 60 oC. Furthermore, the value of collision factor, activation energy and standard enthalpy change of reaction obtained are 5.40 × 103 dm6.(***)-1, 16.113 cal/mol and 5499.40 cal/mol, respectively. © 2018 Trans Tech Publications, Switzerland.

关键词： Potassium

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Construction of a metadata space for a specific field of knowledge from an index of a document

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systems and Computers in Japan 2007年第5期38卷 30-42页

作者： Nakanishi, Takafumi Kishimoto, Sadaya Sakurai, Tetsuya Kitagawa, Takashi Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba 305-8577 Japan Master's Program in Science and Engineering University of Tsukuba Tsukuba 305-8577 Japan

In this paper, we propose a method for generating a metadata space of associations between words from an index of a book dealing with a specific field of interest. In order to implement a search mechanism using a mathematical model of meaning that deals with a specific field of interest, it is necessary to generate a search space called a metadata space dealing with the field of interest. In the past, the metadata space has been generated by using a terminology dictionary and a highly specialized knowledge base. Also, it is difficult to generate the metadata space if there is no terminology dictionary that deals with the field of interest. The proposed method does not require a terminology dictionary, and it allows the generation of the metadata space without a highly specialized knowledge base. Further, by applying this metadata space generation method to a mathematical model of meaning, a search mechanism based on the associations between words in the search target data, such as documents and media data, in the specific field of interest can be implemented. In this paper, taking examples from the IT field, the effectiveness of the method is verified by comparing the use of a metadata space generated from a terminology dictionary and the use of a metadata space generated from an index to search graphic media data. © 2007 Wiley Periodicals, Inc.

关键词： Metadata

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A Mixed Integer Linear programming for COVID-19 Related Medical Waste Reverse Logistics Network Design 22

A Mixed Integer Linear Programming for COVID-19 Related Medi...

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4th International Conference on Management Science and Industrial engineering, MSIE 2022

作者： Santos, Aira Ronalie P. Maghfiroh, Meilinda Fitriani Nur Sapiter, John Rayam Prasetyo, Yogi Tri Redi, Anak Agung Ngurah Perwira Persada, Satria Fadil Young, Michael Nayat Nadlifatin, Reny Ardiansyahmiraja, Bobby School of Industrial Engineering and Engineering Management Mapua University Manila Philippines Department of Industrial Engineering Universitas Islam Indonesia Yogyakarta Indonesia Industrial Engineering Department Binus Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Faculty of Business and Economics Universitas Surabaya Surabaya Indonesia

ISBN: (纸本)9781450395816

Medical wastes bring probable hazards and public risks if not handled correctly, especially during the covid-19 pandemic. Waste management costs are rising due to continues devastation of covid-19 virus. Increased care and handling processes have been implemented to avoid further spreading the infection while ensuring the proper disposal. Given this, medical waste related to covid-19, including other wastes generated by medical facilities, requires delicate integration into the waste management process thru a reverse logistics network for cost-efficient collection, processing, and transport style. Using AMPL software as solving tool, this paper was designed to utilize a mixed-integer linear programming model of a reverse logistics network to improve medical waste management by identifying the total minimum cost of the waste disposal cycle from Waste generating facilities, treatment facilities, and to the disposal factory. © 2022 ACM.

关键词： COVID-19

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Underwater Visible Light Communication Using Phase-Shift Keying and Rolling-shutter Effect

Underwater Visible Light Communication Using Phase-Shift Key...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Ritsuki Hamagami Tadashi Ebihara Naoto Wakatsuki Koichi Mizutani Master’s Program in Intelligent and Mechanical Interaction Systems University of Tsukuba Tsukuba Japan Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Japan

ISBN: (数字)9781728198026

ISBN: (纸本)9781728198033

We propose an underwater visible light communication (VLC) system for use in drones. The transmitter modulates a message using phase-shift keying (PSK) and emits the signal as LED fast-blinking light. The receiver captures this pattern with a CMOS image sensor using a rolling-shutter effect, and demodulates PSK. In existing VLC systems, rolling-shutter effect is used to transmit baseband signals; this system transmits a passband signal tolerant of low-frequency optical interference noise. System performance was evaluated in test-tank experiments. Findings suggested that the VLC system with PSK outperformed that using on-off keying when noise frequency did not exceed carrier frequency.

关键词： Phase shift keying Interference Optical receivers Optical transmitters Optical sensors Optical noise Visible light communication

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