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arXiv 2023年

作者： Inoue, Takato Yamane, Hiroyuki Mathematics and Informatics Program Graduate School of Science and Engineering University of Toyama 3190 Gofuku Toyama930-8555 Japan Faculty of Science Academic Assembly University of Toyama 3190 Gofuku Toyama930-8555 Japan

Let Γ(W) be the Cayley graph of a finite Weyl groupoid W. In this paper, we show an existence of a Hamitonian cycle of Γ(W) for any W. We exatctly draw a Hamiltonian cycle of Γ(W) for any (resp. some) irreducible W of rank three (resp. four). Moreover for the irreducible W of rank three, we give a second largest eigenvalue of the adjacency matrix of Γ(W), and know if Γ(W) is a bipartite Ramanujan graph or not. Copyright © 2023, The Authors. All rights reserved.

关键词： Hamiltonians

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Improving Students Skills to Solve Elementary Equations in K-12 programs Using an Intelligent Tutoring System

Improving Students Skills to Solve Elementary Equations in K...

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Frontiers in Education (FIE) Conference

作者： Arcanjo Miguel Mota Lopes José Francisco de Magalhães Netto Ricardo A. L. de Souza Andreza Bastos Mourão Thais Oliveira Almeida Dhanielly P. R. de Lima Post-Graduate Program in Informatics (PPGI) Institute of Computing (IComp) Federal University of Amazonas (UFAM) Manaus AM Brazil Institute of Exact Sciences (ICE) Federal University of Amazonas (UFAM) Manaus AM Brazil University of State of Amazonas (UEA) Post-Graduate Program in Informatics (PPGI) Institute of Computing (IComp) Federal University of Amazonas (UFAM) Manaus AM Brazil Department of Science Computer Federal University of Roraima Boa Vista RR Brazil

ISBN: (数字)9781728117461

ISBN: (纸本)9781728117478

This full paper of research to practice category describes an experiment using an Intelligent Tutoring System to support teaching and learning that evolve solutions of first-degree equations. The difficulties encountered in solving algebra problems can make students consider math and related science a difficult task. We propose a Tutor to promote the learning of this class of problems. In this article, we describe the functioning and architecture of the tutor composed by the Interface, Student Model, Tutorial Strategies and Domain Model. Also, a Virtual Assistant was included to motivate students in the learning process. The tutoring strategies that comprise the tutor are projected from models found in the literature. To approximate the interactions of the tutor with the actions of the teachers, Lev Vygotsky's Concept of Zone Proximal Development was used. The methodology used in this project was the case study applied in a real-life context, obtaining a combination of quantitative and qualitative evidence about technical and pedagogical usability that show the degree of satisfaction of the students regarding the proposed approach.

关键词： Education Mathematical model informatics Abstract algebra Cognition

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Long Short-Term Memory for Human Fall Detection Based Gamification on Unconstraint Smartphone Position

Long Short-Term Memory for Human Fall Detection Based Gamifi...

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International Congress on Applied Information Technology

作者： Maria Seraphina Astriani Yaya Heryadi Gede Putra Kusuma Edi Abdurachman Faculty of Computing and Media Bina Nusantara University Jakarta Indonesia Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Binus Graduate Program Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728158624

ISBN: (纸本)9781728158631

Fall incident can caused health problem in elderly and people with special treatments. Fall detection method is needed to minimized the problem when human fallen and smartphone can be used as the device to detect it. Usually people carry smartphone in any positions and can make fall detection method difficult to detect when fall occurs. Long Short-Term Memory (LSTM) combined with Sigmoid helps to answer the challenge to handle smartphone accelerometer and gyroscope data in many smartphone orientation position. LSTM method on this experiment can achieved 91.67% for the accuracy result. Since the fall data occurs rarely and there may be insufficient data available, the gamification prospect implemented in fall detection application especially on “Bug” bounty can help researcher to enhance the accuracy result to make a better human fall detection method.

关键词： Sensors Accelerometers Gyroscopes Senior citizens Computer bugs Androids Humanoid robots

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Maternal Health Risk Classification - A Comparison between Algorithm Decision Tree and k-Nearest Neighbor (kNN)

Maternal Health Risk Classification - A Comparison between A...

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Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), International Conference on

作者： Maylia Fatmawati Mega Novita Nugroho Dwi Saputro Alok Singh Chauhan Noora Qotrun Nada Amit Sinha Bambang Agus Herlambang Shruti Gupta Department of Informatics Faculty of Engineering and Informatics Universitas PGRI Semarang Semarang Indonesia Postgraduate Program of Science Education Universitas PGRI Semarang Semarang Indonesia School of Computing Science & Engineering Galgotias University Greater Noida India Department of Computer Science & Engineering ABES Engineering College Ghaziabad Uttar Pradesh India

Maternal health is a critical concern, particularly for individuals who are pregnant and will shape the future generations. However, not all expectant mothers receive tailored attention and care for their unique health needs. Consequently, many mothers face high levels of health risks during pregnancy, highlighting the importance of classifying maternal health risks. Classification can help identify influential factors affecting maternal health and predict risk levels for individual mothers. In the field of data mining, various classification methods exist for analyzing complex datasets. This study focuses on two widely used algorithms: decision tree and k-Nearest Neighbor (kNN). By employing these algorithms, we aim to classify a dataset comprising 1,014 records of maternal health risk levels. Through cross-validation and T-tests, we rigorously evaluate the performance of the decision tree and kNN algorithms in this context. Our findings indicate that the kNN algorithm is more suitable for classifying maternal health risks, achieving a significantly higher accuracy of 71.50% compared to the decision tree algorithm's accuracy of 70.71%. This result establishes the superiority of the kNN algorithm in accurately classifying maternal health risks. These findings have implications for developing targeted interventions and tailored healthcare strategies to mitigate identified risks.

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HFLTS-TOPSIS with Pseudo-distance in Determining the Best Lecturers 1

HFLTS-TOPSIS with Pseudo-distance in Determining the Best Le...

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1st Workshop on Environmental science, Society, and Technology, WESTECH 2018

作者： Abdullah, Dahlan Hartono, H. Saddhono, Kundharu Kurniasih, Nuning Iskandar, Akbar Rianita, Dian Purwarno Setyawasih, Rianti Satria, Erwinsyah Nuryanto, Tato Herawati, Lilik Sujinah Sudarsana, I Ketut Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Graduate Program Universitas Sebelas Maret Surakarta Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Department of Public Administrations Universitas Lancang Kuning Indonesia Faculty of Literature Universitas Islam Sumatera Utara Medan Indonesia Indonesia Department of Management Faculty of Economic Universitas Islam 45 Bekasi Indonesia Faculty of Teacher Training and Education Universitas Bung Hatta Padang Indonesia FITK IAIN Syekh Nurjati Cirebon Indonesia Department of Indonesian Language Teaching Institut Agama Islam Negeri Syekh Nurjati Cirebon Cirebon Indonesia Faculty of Education University Muhammadiyah of Surabaya Surabaya Indonesia Department of Religious Education Institut Hindu Dharma Negeri Denpasar Indonesia

Decision making is sometimes faced with a situation where assessment is given in the form of linguistic variables, which have a certain range of values so that decision making cannot be given in the form of numerical values. One approach commonly used is Hesitant Fuzzy Linguistic Term Sets (HFLTS) which is a multi-criteria and multi-alternative decision making method. In TOPSIS which has the concept of distance measurement, basically the chosen one is the best alternative is an alternative that has the closest distance to a positive solution and the farthest distance with a negative solution. The incorporation of HFLTS-TOPSIS has the advantage that decision making can be done in the form of variable linguistics and also a situation where there are benefit criteria and cost criteria. This study will use the HFLTS-TOPSIS approach that has been modified in the distance calculation section so that distance calculation is based on the difference of preference degree between the two HFLTS. The results of research conducted by a number of researchers show that using pseudo-distance will provide advantages compared to the standard HLFTS-TOPSIS. Pseudo-distance HFLTS-TOPSIS will be applied in the selection of the best lecturers. The criteria used in this study are: Student Satisfaction, Research, Number of late, and number of complaints from students. © Published under licence by IOP Publishing Ltd.

关键词： Decision making

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Generalization error bound for hyperbolic ordinal embedding

arXiv

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arXiv 2021年

作者： Suzuki, Atsushi Nitanda, Atsushi Wang, Jing Xu, Linchuan Cavazza, Marc Yamanishi, Kenji School of Computing and Mathematical Sciences Faculty of Liberal Arts and Sciences University of Greenwich United Kingdom Department of Artificial Intelligence Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Japan Department of Computing Hong Kong Polytechnic University Hong Kong Department of Mathematical Informatics Graduate School of Information Science and Technology University of Tokyo Japan

Hyperbolic ordinal embedding (HOE) represents entities as points in hyperbolic space so that they agree as well as possible with given constraints in the formof entity i ismore similar to entity j than to entity k. It has been experimentally shown that HOE can obtain representations of hierarchical data such as a knowledge base and a citation network effectively, owing to hyperbolic space's exponential growth property. However, its theoretical analysis has been limited to ideal noiseless settings, and its generalization error in compensation for hyperbolic space's exponential representation ability has not been guaranteed. The difficulty is that existing generalization error bound derivations for ordinal embedding based on the Gramian matrix do not work in HOE, since hyperbolic space is not inner-product space. In this paper, through our novel characterization of HOE with decomposed Lorentz Gramian matrices, we provide a generalization error bound of HOE for the first time, which is at most exponential with respect to the embedding space's radius. Our comparison between the bounds of HOE and Euclidean ordinal embedding shows that HOE's generalization error is reasonable as a cost for its exponential representation ability. Copyright © 2021, The Authors. All rights reserved.

关键词： Knowledge based systems

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[Symposium of the Process of Fertilization — From Sex Determination to Epigenetics]

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Zoological science 2005年第12期22卷 1380-1382页

作者： Manabu Yoshida Midori Matsumoto Noritaka Hirohashi Keiichiro Kyozuka Yayoi Obata Qiong Wu Takuya Kumagai Manabu Kawahara Hidehiko Ogawa Tomohiro Kono Yoshiakira Kanai Misaki Marine Biological Station Graduate School of Science The University of Tokyo Department of Biosciences and Informatics Faculty of Science and Technology Keio University Genetic Counseling Program Graduate School of Humanities and Sciences Ochanomizu University Research Center for Marine Biology Asamushi Graduate School of Life Science Tohoku University Department of BioScience Tokyo University of Agriculture / BRAIN Department of Veterinary Anatomy The University of Tokyo

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Drowsiness prevention using a social robot

Drowsiness prevention using a social robot

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Koki Hara Ayumi Takemoto Atsushi Nakazawa Dept. of Intelligence Science and Technology Graduate School of Informatics Kyoto University Yoshida-Honmachi Sakyo-ku Kyoto Japan Laboratory for Perceptual and Cognitive Systems Faculty of Computing University of Latvia Rīga Latvia

ISBN: (数字)9781728188591

ISBN: (纸本)9781665406802

Drowsiness is one of the major causes of accidents in driving and other tasks. Therefore, finding effective ways to prevent drowsiness and to maintain their alert state is an important subject of study in human-machine systems such as autonomous driving. In this paper, we show the potential to use a social robot to prevent participants from becoming drowsy and to keep them alert. Twenty-five participants were asked to perform Sustained Attention to Response Tasks (SART) and report their subjective drowsiness levels. When the system detected drowsiness from the task reaction time or the self-reports, one of the following awakening alarms was triggered: (1) sound and the robot’s movement (SRM), (2) sound from (motionless) robot (SR), (3) sound only (no robot present) (SO), or (4) no stimulus (NS), as a control. The participants’ task performance and self-reported drowsiness were continuously recorded to evaluate the effectiveness of each alarm condition. The experimental results showed a significant difference in the self-reported scores of drowsiness between the SRM and SR conditions and the NS condition, while significance was not found between the SO and NS conditions. In addition, the response time was shorter for SRM. The difference between SR and SO is only the presence of the social robot, so these results indicate that the presence of the social robot increases the participants’ alertness level.

关键词： Correlation Social robots Timing Time factors Task analysis Man-machine systems Autonomous vehicles

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Continuous Wrist Joint Control using Muscle Deformation Measured on Forearm Skin

Continuous Wrist Joint Control using Muscle Deformation Meas...

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IEEE International Conference on Robotics and Automation

作者： Akira Kato Masato Hirabayashi Yuya Matsumoto Yasutaka Nakashima Yo Kobayashi Masakatsu G. Fujie Shigeki Sugano Graduate Program for Embodiment Informatics Waseda University Tokyo Japan Graduate Schools of Creative Science and Engineering Waseda University Tokyo Japan Faculty of Engineering Kyushu University Fukuoka Japan JST PRESTO Future Robotics Organization Waseda Universit Tokyo Japan Faculty of Science and Engineering Waseda University Tokyo Japan

Continuous, easy-to-implement, accurate inference of intended joint angles is important for effectively controlling powered prosthetic devices that can improve the lives and capabilities of upper-limb amputees. Estimation of intended joint angles is difficult because conventional biosignals are not directly related to the intended angle motion. In previous work, we began to address this issue by confirming that both transradial amputees and intact subjects, the measured deformation of the muscle bulge on the skin surface change according to the intended wrist joint angle. This paper presents a continuous prosthesis wrist joint control method using this deformation signal. We here verify the effectiveness of the distribution of the muscle bulge for accurate and stable wrist joint angle control in real time. The wrist joint angles were calculated in real time from a muscle viscoelastic model using the previously determined algorithm. We compared the error between measured and estimated angles with a conventional method, the Voigt model, and the KelvinVoigt model. Experimental results obtained for three intact people over three trials of wrist movement tasks gave the accuracy and stability of 7.96±6.16° when using the Voigt model;this is a similar performance compared to related work using a surface electromyogram. A method for continuously controlling the wrist joint angle for a prosthesis using the distribution of the muscle bulge was thus successfully established.

关键词： Wrist Muscles Strain Skin Prosthetic hand Mathematical model Estimation

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Spider-DAR: A Tool to Support the Implementation of Decision Analysis and Resolution Process Based into CMMI-DEV and MR-MPS-SW Models

Spider-DAR: A Tool to Support the Implementation of Decision...

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International Conference on the Quality of Information and Communications Technology (QUATIC)

作者： Luiz Otávio Danin de Lima Sandro Ronaldo Bezerra Oliveira Bleno Wilson Franklin Vale da Silva Géssica Pinheiro da Silva Iuri Igonez Silva Raiol Universidade Federal do Para Belem PA BR Graduate Program in Computer Science Federal University of Pará Belem Pará Brazil Faculty of Computing Federal University of Pará Belem Pará Brazil

ISBN: (纸本)9781509035823

In order to have a competitive software industry, it is essential to adopt standards and reference models of software processes quality. However, despite the growing adoption of standards and models, the number of organizations that adopt these is a small portion of the total population of software organizations. This paper presents a tool to support the implementation of decision analysis and resolution process in adherence to CMMI-DEV model. This tool aims to assist software organizations in the implementation of the CMMI-DEV model. We expect that this tool be more easily adopted by software organizations because it is based on models and standards largely accepted. Furthermore, this tool adopts free technologies (non-proprietary) in order to reduce costs.

关键词： Software Decision analysis Organizations Analytical models Standards organizations Capability maturity model

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