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3rd International Conference on Electrical, Electronics, informatics, and Vocational Education, ICE-ELINVO 2020

作者： Abubakari, M.S. Nurkhamid Hungilo, G. Department of Electronics Engineering Education Postgraduate Program Universitas Negeri Yogyakarta Indonesia Department of Informatics Engineering Graduate Program University Atma Jaya Yogyakarta Indonesia

This study was aimed to evaluate the e-learning platform in a graduate school by using User Experience Questionnaire (UEQ). The data were collected from 65 respondents and analyzed using an excel data analysis tool. The results indicate that all six scales of the instrument are consistent except the novelty scale. Also, the calculated means of the scales are slightly positive as all values are greater than 0.8 compared to the UEQ benchmark. Although the respondents show a little positive impression with the platform, all scales means are below average category except efficiency scale which is above average as compared to the benchmark. This indicates that the platform needs more improvement in all aspects of user experience for it to be at least in a good category. The findings discussed in this paper are valuable for all academic stakeholders in various educational institutions which implement interactive e-learning systems as well as practitioners of user experience and developers of e-learning systems. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Learning systems

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Resilience in Firefighting Emergency Response: Standardization and Resilience in Complex Systems

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IFAC-PapersOnLine 2016年第32期49卷 119-123页

作者： Righi, Angela W. Huber, Gilbert J. Gomes, Jose O. de Carvalho, Paulo V.R. Graduate Program in Informatics Federal University of Rio de Janeiro Rio de JaneiroRJ Brazil Nuclear Engineering Institute Rio de JaneiroRJ21946-906 Brazil

This study presents an analysis concerning the use of standard operating procedures (SOPs) and identifying sources of resilience and brittleness in an emergency response exercise conducted as training for Rio de Janeiro State Fire Department's captains, Brazil. From the audiovisual record of the exercise performed by 35 young officers, it was noticed the partial activation of 13 SOPs relevant to the exercise. Not all steps under each SOP were activated or even used. Some possible reasons are the novelty related to the use of simulation as well as the exercise design. This bias in the SOPs use was somehow compensated by sources of resilience that contributed to the actions outcome. Positive and negative aspects of this relationship between standardization and resilience were observed and described, contributing to a better understanding of the activity analysis of these professionals. © 2016

关键词： Emergency services Decision support systems Fracture mechanics Public policy Risk management Standardization Activity analysis Cognitive control Emergency management Emergency response Human operator Partial activation Resilience engineerings Standard operating procedures

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Evaluation of an agent-based reinforcement learning framework for model-based testing 7

Evaluation of an agent-based reinforcement learning framewor...

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7th International Congress on Ambient Intelligence, Software Engineering, and e-Health and Mobile Health, AmITIC 2024

作者： Ramírez-Méndez, Jose Quesada-López, Christian University of Costa Rica Graduate Program in Computing and Informatics San Pedro Costa Rica University of Costa Rica Department of Computer Science and Informatics San Pedro Costa Rica

ISBN: (纸本)9798350364538

This study evaluates an agent-based reinforcement learning framework for model-based testing (MBT). The framework's performance was assessed on three key metrics: effectiveness and efficiency in achieving model coverage objectives, the quantity and uniqueness of generated test cases, and code coverage. The results show improved metrics for the framework compared to traditional testers in model coverage evaluation and test case metrics. Specifically, the framework achieved higher effectiveness and efficiency, generating a higher average number of test cases with a substantial proportion of unique cases, indicating more diverse and thorough testing. Additionally, the framework, along with random and greedy testers, achieved over 70% coverage across branch, method, and line code metrics. The framework showed slightly higher values in method and line coverage compared to other testers. The evaluation highlights the use of agent-based reinforcement learning to support model-based testing in planning test case generation, exploring models using multiple strategies, and learning guided by testing metrics. Future work will focus on further refining the framework learning model, including error coverage evaluation, and testing its applicability across different software systems. © 2024 IEEE.

关键词： Adversarial machine learning

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Comparison of Fetal Heart Rate Detection Using Envelope Extraction and Shannon Energy

Comparison of Fetal Heart Rate Detection Using Envelope Extr...

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2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019

作者： Setiawan, Agung W. Sujatmiko, Wahyu Biomedical Engineering Research Group School of Electrical Engineering and Informatics ITB Bandung Indonesia Graduate Program in Electrical Engineering School of Electrical Engineering and Informatics ITB Bandung Indonesia

ISBN: (纸本)9781728138329

Heart rate monitoring is widely used as a general procedure to examine fetal health condition. Fetal heart rate can be used to identified possibilities of fetal anomaly and warn the obstetrician to provide immediate intervention before any further abnormalities. The purpose of this research is to compare fetal heart rate detection result using envelope extraction and Shannon energy envelope method. There are 115 fetal phonocardiography and maternal phonocardiography that is used in this research. The dataset was obtained from Hafez Hospital, Shiraz University of Medical Science. Envelope extraction method can be used to detect fetal heart rate signal with 89.2% accuracy for all fetal phonocardiography signal while Shannon energy envelope method can be used to detect fetal heart rate signal with 88.3% accuracy for all fetal phonocardiography signal. © 2019 IEEE.

关键词： Phonocardiography

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Learning Analytics to Identify the Socio-affective Scenarios in a Virtual Learning Environment 9th

Learning Analytics to Identify the Socio-affective Scenarios...

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9th International KES Conference on Smart Education and e-Learning, SEEL 2022

作者： Akazaki, Jacqueline Mayumi Machado, Leticia Rocha Behar, Patricia Alejandra Post Graduate Program in Informatics in Education Federal University of Rio Grande do Sul Porto Alegre Brazil Post Graduate Program in Education Federal University of Rio Grande do Sul Porto Alegre Brazil

ISBN: (纸本)9789811931116

A growing number of virtual courses are being offered by Brazilian educational institutions, requiring the development of technological resources and research to assist in Distance Education (DE) teaching and learning processes. Analysis of students’ socio-affective profiles in Virtual Learning Environments (VLE) enables possibilities to develop methodologies and resources to better understand them. The Social Map (SM) and Affective Map (AM), both features of the Cooperative Learning Network (in Portuguese: ROODA), provide inferences and graphic presentations of students’ socio-affective profiles. This article aims to identify the possible recurrent socio-affective scenarios in a VLE utilizing Learning Analytics (LA). LA is defined as the measurement, collection, and analysis of data. The qualitative and quantitative research approach used in this work was carried out based on 10 case studies. The target audience was 219 students including undergraduate, graduate, teachers, and elderly people who participated in teaching activities at a university. Data collected from the SM and AM were extracted in order to identify the relationship between these two aspects. As a result, 38 socio-affective scenarios were created using LA to contribute to the analysis of the students’ learning profiles, allowing teachers to develop pedagogical strategies consistent with the needs of each individual. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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Software process improvement programs: What happens after official appraisal? 30

Software process improvement programs: What happens after of...

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30th International Conference on Software Engineering and Knowledge Engineering, SEKE 2018

作者： Albuquerque, Regina Malucelli, Andreia Reinehr, Sheila Graduate Program in Informatics - Pontifícia Universidade Católica Do Paraná Curitiba - Paraná Brazil Curitiba - Paraná Brazil

ISBN: (纸本)1891706446

Studies of critical success factors in the implementation of programs of software process improvement have been conducted on a large scale in recent decades. However, these studies only focus on the implementation and do not consider the factors that influence the continuity or abandonment of these programs after official appraisal. Therefore, the objective of this study is to investigate the critical factors involved in the maintenance or abandonment of these programs. For this purpose, an exploratory survey was conducted, with the participation of consultants and appraisers of software process improvement reference models. The result was the proposal of a theoretical framework of critical success factors to maintain the use of processes of reference models, composed of the following categories: human factors, project factors, consultancy, organizational factors and technical factors involved in the process. © 2018 Universitat zu Koln. All rights reserved.

关键词： Process engineering

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Robot audition: Its rise and perspectives 40

Robot audition: Its rise and perspectives

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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Okuno, Hiroshi G. Nakadai, Kazuhiro Graduate Program for Embodiment Informatics Waseda University Japan Honda Research Institute Japan Co. Ltd. Japan

ISBN: (纸本)9781467369978

The ability of robots to listen to several things at once with their own 'ears', that is, robot audition, is an important factor in improving interaction and symbiosis between humans and robots. The critical issue in robot audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper first overviews activities and issues related to robot audition. Then, it presents the 'HARK' robot audition software, which provides three primary functions for robot audition, sound source localization, sound source separation, and separated sound recognition, and then reports their performance. Finally, it discusses future directions in new promising areas as well as robotics. © 2015 IEEE.

关键词： Active audition Ego-noise cancellation Microphone array Robot Audition

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A progress report and a proposal: Interactivity in ubiquitous learning enhanced by virtual tutors in e-learning contents

A progress report and a proposal: Interactivity in ubiquitou...

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2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2008

作者： Yamamoto, Toshiyuki Miyashita, Ryo Department of Media Informatics Kanazawa Institute of Technology Japan Graduate Program in Information and Computer Engineering Kanazawa Institute of Technology Japan

ISBN: (纸本)9780769531588

It is proposed in this session that the interactivity necessary in ubiquitous learning can be enhanced by the virtual tutor who mediates between the learner and the e-Learning contents. Arousing students' intellectual curiosity and raising their motivation to learn are the two great goals for e-Learning contents developers. It is supposed that the interaction in the communication between the teacher and his/her students in a regular classroom can be maintained in e-Learning with the help of Virtual Tutor, which appears on the learning contents in a timely fashion to give learners advice, encouragement, reminders, and such. The session includes discussions to develop such a system making use of the most updated technology as well as demonstrations of such a system which has been experimented at Department of Media informatics. It is proved that the learning environment where human interactivity is essential can be reconstructed in terms of the proposed Virtual Tutor. This paper presentation includes demonstrations of QED as well as a discussion of the importance of interactivity in ubiquitous e-Learning. © 2008 IEEE.

关键词： Students

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Identifying niche stage in MMORPGs using ensemble classifier 31

Identifying niche stage in MMORPGs using ensemble classifier

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31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018

作者： Bernardo, Luiz Kummer, Martins Nievola, Julio Cesar Paraíso, Emerson Cabrera Graduate Program in Informatics Pontificia Universidade Católica do Paraná Rua Imaculada Conceicao 1155 Curitiba-PR Brazil

ISBN: (纸本)9781577357964

In this paper, we present a Machine Learning based approach to identify the Niche stage in Massively Multiplayer Online Role-Playing Games during their usage lifecycle. The Niche stage is the last stage of the lifecycle and represents a risky situation, because its rentable usage may end soon, as the engagement of the new players are dropping. This paper is related to identifying risky situations based on the players' commitment. Commitment is a measure that i l - lustrates the players' engagement to a game. Our approach consists in evaluating how different ensemble's configurations can affect the Niche identification. We support that the game industry may use the Niche identification to evaluate how attractive a game is. Four different ensemble's configurations are proposed, being each one associated to a research hypothesis that we aim to accept or reject. We applied this approach to a real dataset, which contains three years of usage data from World of Warcraft. We could identify some similarities and differences between all the configurations. It was also possible to identify an assumption that the players' behavior tends to be a Niche behavior over time. The results show that the reduced ensemble with entrance requirement is the best configuration, because it has less classifiers than the others and it can capture the changes on players' behaviors over time. Copyright © 2018, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Social networking (online)

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A Key Risk Indicator for the game usage lifecycle 30

A Key Risk Indicator for the game usage lifecycle

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30th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017

作者： Kummer, Luiz Bernardo Martins Nievola, Júlio Cesar Paraiso, Emerson Cabrera Graduate Program in Informatics Pontificia Universidade Católica do Paraná Rua Imaculada Conceicao 1155 Curitiba-PR Brazil

ISBN: (纸本)9781577357872

Among the different types of digital games, Massively Multiplayer Online Role-Playing Games (MMORPGs) are one of the most popular. Game producers use usage data to compute metrics to analyze their game lifecycles. The most popular is the MAU (Monthly Active Users), which indicates the number of active players in each timestamp. MAU only describes how many players played a game. It cannot show how players are motivated for that game. We support that motivation is a key factor to follow and game producers should be aware of it. In this way, we are proposing in this article a new game independent Key Risk Indicator. The risk indicator is based on commitment and, in our context, can be defined as the attachment of a player to a given game. The game industry may use commitment to evaluate how attractive a game is during its usage lifecycle. A machine learning approach is presented to predict the risk indicator. We applied the method to a real dataset. The proposed approach identified risky situations where the classical approach did not. Copyright © 2017, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Learning systems

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