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Asia-Pacific Conference on Communications

作者： Nuttaporn Phakdee Wantana Sisomboon Jirayus Arbking Software Engineering Department Faculty of Informatic Chonburi Thailand Software Engineering Department Faculty of Informatics Chonburi Thailand Faculty of Informatics Burapha University Thailand

Robotic Process Automation (RPA) has emerged as a significant technology across various industries, including the field of education. Educators face a substantial workload that hinders their ability to effectively develop students. To address this issue, the implementation of RPA can be considered to alleviate the burden on teachers. Acceptance Test-Driven Development (ATDD) is a collaborative methodology involving stakeholders, developers, and testers, ensuring software adherence to desired requirements. By integrating ATDD with RPA, teaching processes can be streamlined, repetitive tasks automated, and overall workload reduced. Consequently, instructors can dedicate more time to critical aspects of their roles. The RPA development process can be guided by the six phases of the RPA Life Cycle. During the discovery phase, an evaluation report, specifically the Forrester Wave TM , identified UiPath as the optimal tool. Its features aligned well with the requirements of the teaching support process. Furthermore, a combination of the RPA position strategy, group interviews, and online questionnaires involving lecturers from the Faculty of informatics at Burapha University guided the word validation process for the RPA application. The design phase followed a structured flow to produce the automated application. The results demonstrated a 71.42-fold reduction in time spent on checking word errors in student project reports and communication between teachers and students. This successful integration of RPA in the education sector showcases its potential for enhancing instructional efficiency and student development.

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Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第10期5卷 5026-5039页

作者： Li, Mengke Cheung, Yiu-Ming Lu, Yang Hu, Zhikai Lan, Weichao Huang, Hui Shenzhen518132 China Hong Kong Baptist University Department of Computer Science 999077 Hong Kong Xiamen University Fujian Key Laboratory of Sensing and Computing for Smart City School of Informatics Xiamen361005 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China

It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes correctly. In the literature, several existing methods have addressed this problem by reducing classifier bias, provided that the features obtained with long-tailed data are representative enough. However, we find that training directly on long-tailed data leads to uneven embedding space. That is, the embedding space of head classes severely compresses that of tail classes, which is not conducive to subsequent classifier learning. This article therefore studies the problem of long-tailed visual recognition from the perspective of feature level. We introduce feature augmentation to balance the embedding distribution. The features of different classes are perturbed with varying amplitudes in Gaussian form. Based on these perturbed features, two novel logit adjustment methods are proposed to improve model performance at a modest computational overhead. Subsequently, the distorted embedding spaces of all classes can be calibrated. In such balanced-distributed embedding spaces, the biased classifier can be eliminated by simply retraining the classifier with class-balanced sampling data. Extensive experiments conducted on benchmark datasets demonstrate the superior performance of the proposed method over the state-of-the-art ones. © 2020 IEEE.

关键词： Benchmarking

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Formation of Use Case Scenario Based on Use Case Diagram Using Text Semantics for IdVar4CL Application Development 10

Formation of Use Case Scenario Based on Use Case Diagram Usi...

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10th International Conference on Signal Processing and Communication, ICSC 2025

作者： Laksana, Maritza Amalia Ika Priyadi, Yudi Wibowo, Yanuar Firdaus Arie Telkom University Department of Information Technology Bandung Indonesia Telkom University Department of Software Engineering Bandung Indonesia Telkom University Department of Informatics Bandung Indonesia

ISBN: (纸本)9798331511890

In forming a Use Case Scenario, alignment is needed between two artefacts, the Requirement Elicitation and the Use Case Diagram, so the software development meets the client's needs. There is a process for forming a Use Case Scenario that can be inconsistent with the Use Case Diagram. This inconsistency can occur due to differences in the interpretation of an artefact and a lack of validity and reliability between the software developer and the client's needs in representing it in a Use Case Diagram. This research aims to create a Use Case Scenario using a semantic text process based on a Use Case Diagram. After completing all stages of this research process, four main points emerged as results: ten Use Case Names accompanied by Use Case Diagrams with similar names, tabulation of the Use Case Scenario format, which is the result of the formation of related artefacts, the alignment of the Use Case Scenario formed based on the Use Case Diagram produces a comparison value of 0.39 'fair agreement' and a value of 0.75 'substantial agreement', and references that produce artefact improvements related to the Requirement Specification documentation for the formation of the Use Case Scenario. The results of this research are expected to help developers enhance development and documentation, making it more effective in consistently meeting user needs. © 2025 IEEE.

关键词： software design

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CRAFTER: A Persona Generation Tool for Requirements engineering 19

CRAFTER: A Persona Generation Tool for Requirements Engineer...

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19th International Conference on Evaluation of Novel Approaches to software engineering, ENASE 2024

作者： Karolita, Devi Grundy, John Kanij, Tanjila Obie, Humphrey McIntosh, Jennifer Department of Software Systems and Cybersecurity Faculty of Information Technology Monash University Melbourne Australia Department Informatics Engineering Faculty of Engineering Palangka Raya University Palangka Raya Indonesia Faculty of Medicine Dentistry and Health Sciences The University of Melbourne Melbourne Australia

ISBN: (纸本)9789897586965

Personas, a user characterisation, have been widely used in requirements engineering (RE) to enhance the understanding of end-users and their needs. However, the persona generation process is time-consuming and demands familiarity with a user-centered approach. The central issue lies in existing tools for automatically generating personas, which are restricted to generating persona templates and provide limited user control to tailor personas according to their specific needs. This paper introduces CRAFTER, a persona generation tool that uses Large Language Models (GPT-3.5 model). This tool not only automates persona creation but also offers recommendations to users for generating personas tailored to their requirements. The study involved an online questionnaire with 19 respondents who utilised the tool, providing feedback that indicated the tool’s sufficiency for persona generation while identifying areas for improvement. Beyond its primary function, CRAFTER stands out by providing guidance to requirements engineers throughout the persona creation process. The tool grants users the flexibility to customise personas based on their specific requirements, acknowledging the crucial human subjectivity in persona development. Additionally, CRAFTER promotes persona reusability, allowing users to save and reuse generated personas for future projects. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Requirements engineering

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Usability Issues With Mobile Applications: Insights From Practitioners and Future Research Directions

arXiv

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arXiv 2025年

作者： Weichbroth, Pawel Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Department of Software Engineering Gdansk Poland

This study is motivated by two key considerations: the significant benefits mobile applications offer individuals and businesses, and the limited empirical research on usability challenges. To address this gap, we conducted structured interviews with twelve experts to identify common usability issues. Our findings highlight the top five concerns related to: information architecture, user interface design, performance, interaction patterns, and aesthetics. In addition, we identify five key directions for future research: usability in AI-powered mobile applications, augmented reality (AR) and virtual reality (VR), multimodal interactions, personalized mobile ecosystems, and accessibility. Our study provides insights into emerging usability challenges and trends, contributing to both the theory and practice of mobile human-computer interaction. © 2025, CC BY.

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Integrating Data Protection at Interface of RISC-V Processor Core

Integrating Data Protection at Interface of RISC-V Processor...

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Panhellenic Conference on Electronics and Telecommunications (PACET)

作者： Ján Mach Lukáš Kohútka Pavel Čičák Institute of Computer Engineering and Applied Informatics Slovak University of Technology Slovakia Institute of Informatics Information Systems and Software Engineering Slovak University of Technology Slovakia

Fulfilling increasing performance demands of space and automotive applications can be problematic as high dependability is required. Memory is one of the most radiationsensitive parts, so it is often protected with information redundancy. This paper describes an integration of error correction and detection techniques into the interface of RISC-V processor to protect the data stored in the memory. We also provide a hardware-software interface for reporting errors and software routines for correcting data in memory. Our solution has a negligible impact (-3.9%) on the overall performance of the core with a small area and power consumption overhead.

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Iterative Design of a Decision Support System for Fall Risk Detection in residential care facilities

Iterative Design of a Decision Support System for Fall Risk ...

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作者： Tschorn, Niklas Keuchel, Maren Müller, Inga Milkov, Sarah Potthoff, Christian Windrath, Dioselina Weber, Yvonne Meister, Sven Burmann, Anja Fraunhofer Institute for Software and Systems Engineering ISST Dortmund / Health Care Informatics Faculty of Health School of Medicine Witten/Herdecke University Speicherstraße 6 Witten Germany Fraunhofer Institute for Software and Systems Engineering ISST Dortmund Germany HS Gesundheit Bochum Bochum Germany Diakonie Michaelshoven Cologne Germany Connext Communication GmbH Paderborn Germany Health Care Informatics Faculty of Health School of Medicine Witten/Herdecke University Witten Germany

Nursing care jobs are predominantly described as burdensome. In particular, the workload and the time available to deal with it are in a state of imbalance. Nurses are very often under time pressure and have to make decisions under psychological, emotional and physical stresses. Machine learning methods and in particular, Decision Support Systems (DSS) can be used to support nurses with improved information (e.g. visualization of individual health risks) for decisions that are not easy to make. As falls are one of the most common health problems in care facilities, we will present a concept of a DSS for the prevention of falls that was developed in the PFLIP research project. We explain our user-centered design process based on ISO 9241-210-2019. User feedback is obtained at each phase so that nurses can identify problems at an early stage. The result is a conceptual design, visualized as a click dummy, to identify individual fall risks and predict preventive measures to reduce the risk of falling. © 2024 The Author(s), published by De Gruyter.

关键词： Electronic health record

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AI and the Law: Evaluating ChatGPT’s Performance in Legal Classification

arXiv

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arXiv 2025年

作者： Weichbroth, Pawel Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Department of Software Engineering Gdansk Poland

The use of ChatGPT to analyze and classify evidence in criminal proceedings has been a topic of ongoing discussion. However, to the best of our knowledge, this issue has not been studied in the context of the Polish language. This study addresses this research gap by evaluating the effectiveness of ChatGPT in classifying legal cases under the Polish Penal Code. The results show excellent binary classification accuracy, with all positive and negative cases correctly categorized. In addition, a qualitative evaluation confirms that the legal basis provided for each case, along with the relevant legal content, was appropriate. The results obtained suggest that ChatGPT can effectively analyze and classify evidence while applying the appropriate legal rules. In conclusion, ChatGPT has the potential to assist interested parties in the analysis of evidence and serve as a valuable legal resource for individuals with less experience or knowledge in this area. © 2025, CC BY.

关键词： Laws and legislation

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Non-IT Program Students Learn Basic Web Language;The Preliminary Study of Affective and Cognitive Response on IVML Prototype 17th

Non-IT Program Students Learn Basic Web Language;The Prelimi...

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17th International Conference on Information Technology and Applications, ICITA 2023

作者： Naim, Nur Faraha Mohd Ibrahim, Ag. Asri Ag. Baharum, Aslina Moung, Ervin Gubin Salimun, Carolyn Multimedia Technology Programme Faculty of Computing and Informatics Universiti Malaysia Sabah Kampus Antarabangsa Labuan Federal Territory of Labuan Malaysia Software Engineering Programme Faculty of Computing and Informatics Universiti Malaysia Sabah Kota Kinabalu Sabah Malaysia User Experience Research Group Faculty of Computing and Informatics Universiti Malaysia Sabah Kota Kinabalu Sabah Malaysia School of Engineering and Technology Sunway University Selangor Petaling Jaya Malaysia

ISBN: (纸本)9789819983230

This paper examines the response of affective and cognitive processes under human–computer interaction (HCI) toward interactive video mobile learning known as the IVML prototype. The idea is to determine the potential of the interactive elements in the educational video as the key factor that can influence learners’ engagement and comprehension of the presented topic. This paper aims to measure the level of affective and cognitive response of learners toward the subject learning that are not from their field, not exposed to, or not familiar with. The data analyze based on user experience, user interface, and human–computer interaction. The statistical result may produce a significant outcome that could contribute to the hyper video platform. The findings may confirm the significant role of technical aspects and psychological aspects included in video production style, hence heightening the hyper video platform in teaching and learning activities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Human computer interaction

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Attention Management: Extending in Progress

Attention Management: Extending in Progress

引用

International Symposium on Computational Intelligence and informatics

作者： Juraj Brodniansky Ján Lang Faculty of Informatics and Information Technologies Institute of Informatics Information Systems and Software Engineering Slovak Technical University in Bratislava Bratislava Slovakia

ISBN: (数字)9798350353433

ISBN: (纸本)9798350353440

Attention management in software development proves to be a highly relevant issue. It offers various ways of managing the user's attention using visual perception of the work environment. Awareness of the workplace provides a user with work context which may positively affect the productivity and workflow of a project. However, the work context may also provide the user with arbitrary information. Thus, regulations of incoming workplace information are required throughout the user's work cycle. Furthermore, previous research supports the proposed extensions devised according to the lacking parts in the existing project management system. Furthermore, to stabilize the extensions, results from an experiment conducted on the proof-of-concept designed according to the proposed parts.

关键词： Productivity Employment Semantics User interfaces Regulation Proposals informatics Computational intelligence software development management Visual perception

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