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4th IEEE EMBS International Conference on Biomedical and Health informatics, BHI 2017

作者： Letouze, Patrick De Souza, J.I.M. Silva, Valeria Martins Climaco, Glaubos Chagas, F.B. Ishihara, Joao Y. Graduate Program of Computational Modeling of Systems Universidade Federal Do Tocantins Quadra 109 Norte Avenida NS-15 Palmas77001-090 Brazil Graduate Program of Systems' Engineering and Computation - PESC Universidade Federal Do Rio de Janeiro Rio de Janeiro Brazil Department of Informatics at the Universidade Federal Do Maranh/ Ao - UFMA Brazil Faculty of Computer Science Faculdade Pitagoras Imperatriz Imperatriz Brazil Faculty of Electrical Engineering Universidade de Brasília Brasília Brazil

ISBN: (纸本)9781509041794

Reporting-Guidelines in Medicine play an important role in promoting the quality of reports in health-related research. For instance, a poorly reported research may induce misinterpretation and inappropriate clinical settings. Basically, three major issues regarding Reporting-Guidelines in Medicine has to be addressed: (1) the existence of lots of reporting guidelines covering a broad spectrum of medical research increases the difficulties when reporting a medical research because it may not be clear which guidelines are applicable, or if all related guidelines are considered;(2) most guideline developers have not described how their guidance was developed, consequently tracking guidelines and features for evaluation, or even for correcting, may be not possible;(3) few guideline developers have evaluated the effectiveness of their guidance, then the real value that the guideline brings to reporting the research is not assured. Hence, we propose a solution to these three issues based on the Model-View-Controller Evolutionary Acquisition Interdisciplinary Research Project Management (MVC EA-IRPM) that is simultaneously a strategy and a web system for the development and management of reporting guidelines. © 2017 IEEE.

关键词： Clinical research

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Application of factor analysis method to support the users acceptance model of ERP systems implementation 4

Application of factor analysis method to support the users a...

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4th International Conference on Combinatorics, Graph Theory, and Network Topology, ICCGANT 2020

作者： Sardjono, W. Sudirwan, J. Priatna, W. Putra, G.R. Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Informatics Engineering Engineering Bhayangkara University Jakarta Raya Indonesia Computer Science Study Program Faculty of Mathematics and Natural Sciences Pakuan University Bogor Indonesia

An e-Commerce company has been using an Enterprise Resource Planning (ERP) system for several years, but is still constrained in its implementation, this is reflected in the number of issue/change request tickets submitted by users who have not been able to reach ideal conditions. To overcome this problem, we need an appropriate reference model, the ERP system user acceptance model in companies. The study conducted factors that influence the level of acceptance of SAP ERP users in the XYZ group to then determine a model that is able to explain practically the level of ERP system user acceptance, which in turn can produce concrete proposals to increase ERP system user acceptance. Research is quantitative descriptive using factor analysis and regression analysis methods. The research method uses a questionnaire with a total of 107 valid respondents coming from 8 company names under the XYZ group in 6 Southeast Asian countries. The conclusion of the study is that there are 24 indicators and 4 factors that influence user acceptance of the SAP ERP system. These four factors are the low contribution of the ERP system, the quality of ERP systems and data, the development of ERP systems, and also the low quality of ERP system supporters. It is hoped that by optimizing the value of the 4 factors, the XYZ group can increase user acceptance of the SAP ERP system so that the system can provide benefits expected by the company to be competitive advantage. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Factor analysis

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Business intelligence model to support a judge's decision making about legal situations

Business intelligence model to support a judge's decision ma...

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IEEE Central America and Panama Convention (CONCAPAN)

作者： Luis Raúl Rodríguez Oconitrillo Alvaro de la Ossa Osegueda Graduate Program in Computing and Informatics Universidad de Costa Rica San Jose Costa Rica School of Computer Science University of Costa Rica San Jos?? Costa Rica

ISBN: (纸本)9781467395793

Legal decision-making support is key for legal security in any legal system. This paper describes a new scope and method for Business Intelligence applied in the legal domain. We describe a legal case processing model based on the transformation of relevant data from a legal case file by a judge, to produce what we call the judge's perception of the case. That is a representation of the case that stresses (1) the relevance of the different attributes of the case, and (2) the relationships among attributes that the judge considers relevant for argumentation purposes.

关键词： Law Decision making Cognition Tools Business intelligence

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The Intelligence Decision Making on Asset Management using Fuzzy Clustering 2

The Intelligence Decision Making on Asset Management using F...

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2nd International Conference on Innovative and Creative Information Technology, ICITech 2021

作者： Sediyono, Eko Hartomo, Kristoko Dwi Susetyo, Yeremia Alfa Setiwan, Adi Information System Graduate Program Universitas Kristen Satya Wacana Salatiga Indonesia Universitas Kristen Satya Wacana Dept. of Information System Salatiga Indonesia Universitas Kristen Satya Wacana Dept. of Informatics Salatiga Indonesia Universitas Kristen Satya Wacana Faculty of Science and Mathematics Salatiga Indonesia

ISBN: (纸本)9781728197463

This paper discusses research that produces a land asset information system called e-asset. The research method used is an experimental method by creating an asset information system. The system created is given to the Salatiga City Regional Finance Agency (BKD) for internal purposes. Fuzzy Algorithm has been implemented in the system so as to make it easier for users from BKD staff to find the location of land assets. The test results by the user stated that the user was satisfied with the satisfaction level of 3.41 (from scale 0 to 5). © 2021 IEEE.

关键词： Decision making

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Comprehensive Analysis and Remediation of Insecure Direct Object References (IDOR) Vulnerabilities in Android APIs

Comprehensive Analysis and Remediation of Insecure Direct Ob...

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Cryptography, informatics, and Cybersecurity (ICoCICs), IEEE International Conference on

作者： Semi Yulianto Roni Reza Abdullah Benfano Soewito Computer Science Department Binus Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Informatics Engineering National Institute of Science and Technology Jakarta Indonesia Computer Science Department Binus Graduate Program. Master of Computer Science Bina Nusantara University Jakarta Indonesia

The escalating visibility of secure direct object reference (IDOR) vulnerabilities in API security, as indicated in the compilation of OWASP Top 10 API Security Risks, highlights a noteworthy peril to sensitive data. This study explores IDOR vulnerabilities found within Android APIs, intending to clarify their inception while evaluating their implications for application security. This study combined the qualitative and quantitative approaches. Insights were obtained from an actual penetration test on an Android app into the primary reasons for IDOR vulnerabilities, underscoring insufficient input validation and weak authorization methods. We stress the frequent occurrence of IDOR vulnerabilities in the OWASP Top 10 API vulnerability list, highlighting the necessity to prioritize them in security evaluations. There are mitigation recommendations available for developers, which recognize its limitations involving a possibly small and homogeneous selection of tested Android applications, the testing environment that could cause some inaccuracies, and the impact of time constraints. Additionally, the study noted insufficient threat modeling and root cause analysis, affecting its generalizability and real-world relevance. However, comprehending and controlling IDOR dangers can enhance Android API security, protect user data, and bolster application resilience.

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Evaluation of Process Variability on Current for Nanotechnologies Devices

Evaluation of Process Variability on Current for Nanotechnol...

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IEEE Latin American Symposium on Circuits and Systems

作者： Cristina Meinhardt Ricardo Reis Computer Science Center - C3 Federal University of Rio Grande - FURG Graduate Program in Computing Institute of Informatics Federal University of Rio Grande do Sul - UFRGS

ISBN: (纸本)9781467312073

The continuous shrinking of devices has introduced new challenges to integrated circuit design, mainly to deal with the parametric variations in process parameters. This paper presents an evaluation of the process variability on the current Ids of nanotechnologies devices, individually and simultaneously, taking into account the correlation among them. The results show that the deviation from mean value is quite significant ≈ 16% for high performance models. The variation of L has the dominant effect on the overall variation of the device in high performance models while the dominant effect on the overall variation of the device in low power models still being due to Vth variations. Lastly, the effect of process parameter variations deteriorates with technology scaling, with a considerable increase in the deviation from the 22nm to 16nm technology.

关键词： Cutting parameters Nanotechnologies currents electric current HIGH-PERFORMANCE parameter variation Deviation mean value powered models

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Goal-oriented inference of environment from redundant observations

arXiv

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arXiv 2023年

作者： Takahashi, Kazuki Fukai, Tomoki Sakai, Yutaka Takekawa, Takashi Informatics Program Graduate School of Engineering Kogakuin University of Technology and Engineering Japan Neural Coding and Brain Computing Unit Okinawa Institute of Science and Technology Japan Brain Science Institute Tamagawa University Japan

The agent learns to organize decision behavior to achieve a behavioral goal, such as reward maximization, and reinforcement learning is often used for this optimization. Learning an optimal behavioral strategy is difficult under the uncertainty that events necessary for learning are only partially observable, called as Partially Observable Markov Decision Process (POMDP). However, the real-world environment also gives many events irrelevant to reward delivery and an optimal behavioral strategy. The conventional methods in POMDP, which attempt to infer transition rules among the entire observations, including irrelevant states, are ineffective in such an environment. Supposing Redundantly Observable Markov Decision Process (ROMDP), here we propose a method for goal-oriented reinforcement learning to efficiently learn state transition rules among reward-related"core states" from redundant observations. Starting with a small number of initial core states, our model gradually adds new core states to the transition diagram until it achieves an optimal behavioral strategy consistent with the Bellman equation. We demonstrate that the resultant inference model outperforms the conventional method for POMDP. We emphasize that our model only containing the core states has high explainability. Furthermore, the proposed method suits online learning as it suppresses memory consumption and improves learning speed. Copyright © 2023, The Authors. All rights reserved.

关键词： Reinforcement learning

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Collaborative information gathering and recommendation using mobile computing

Collaborative information gathering and recommendation using...

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International Conference on Computer Supported Cooperative Work in Design

作者： Jonice Oliveira Andressa Silva Raphael Franckini Graduate Program in Informatics (PPGI) Department of Computing Science (DCC) Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Department of Computing Science (DCC) Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9781467360845

The increasing adoption of mobile devices can improve the collaborative participation, especially in data acquiring, of people in their space: where they live or where they work. Based in this kind of crowdsourcing, we create a proposal for The Federal University of Rio de Janeiro (UFRJ), specially its campus of “Ilha do Fundão” (Fundão Island), which has a fragmented culture since its origin. Nowadays, it is still possible to find not only a geographical distance, but also informational disaggregation and waste of resources and opportunities. In order to minimize these problems, as well motivating the collaborative work, we create an approach using mobile computing, called UFRJ Social. The main idea is that the crowd (students, professor, employers, visitors and anyone who stay in the campus) can provide information or opinions of any place (infrastructure, events, classes, bus stations and others). This application is context-sensitive, and users can receive recommendations by their geographical location and interests. This approach was evaluated in a study case and the results were positive. In this paper we also analyze how this approach can be extended in other scenarios.

关键词： Educational institutions Collaboration Mobile handsets Internet Context Proposals Communities

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Enhancing the sustainability and effectiveness of non-governmental organizations: An integrated neutrosophic decision-making model for determining the most effective corporate governance strategies

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Engineering Applications of Artificial Intelligence 2025年 156卷

作者： Emrah Ayhan Hakan Gökhan Gündoğdu Ahmet Aytekin Ahmet Furkan Karakaya Vladimir Simic Dragan Pamucar Department of Political Science and Public Administration Faculty of Economics and Administrative Sciences Anadolu University Tepebaşı 26470 Eskişehir Türkiye Department of Business Administration Hopa Faculty of Economics and Administrative Sciences Artvin Çoruh University Hopa 08100 Artvin Türkiye Public Administration Master Program Graduate Education Institute Anadolu University Tepebaşı 26470 Eskişehir Türkiye University of Belgrade Faculty of Transport and Traffic Engineering Vojvode Stepe 305 11010 Belgrade Serbia Yuan Ze University College of Engineering Department of Industrial Engineering and Management Taoyuan City 320315 Taiwan Department of Computer Science and Engineering College of Informatics Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Republic of Korea Department of Operations Research and Statistics Faculty of Organizational Sciences University of Belgrade Belgrade Serbia Department of Mechanics and Mathematics Western Caspian University Baku Azerbaijan İstinye University Faculty of Engineering and Natural Sciences Industrial Engineering Department Sarıyer 34396 İstanbul Türkiye

This research explores the development of effective corporate governance strategies for non-governmental organizations (NGOs) by evaluating both critical decision criteria and innovative organizational models. Based on an extensive literature review, seven governance criteria were identified: credibility and non-profit orientation, regular information flow and transparency, level of institutionalization, frequency of leadership turnover, internal and external stakeholder relations, annual budget, and ideological or religious motivation. In addition, five innovative organizational models were selected as strategic alternatives: continuous learning organization, technology-oriented policy development, income diversification, pluralistic governance, and transformational leadership. The empirical data were gathered through interviews with 16 experts from academia, civil society, and public institutions in Türkiye. To address the complexity and uncertainty of decision-making processes, a hybrid type-2 neutrosophic number (T2NN) multi-criteria decision-making methodology is introduced. The T2NN-ranking comparison and T2NN-criteria importance through intercriteria correlation methods are used to determine the weight of criteria, while T2NN-stable preference ordering towards ideal solution is utilized to rank the alternative models. Results show that the level of institutionalization is the most significant criterion, and income diversification is the most effective organizational model for improving NGO sustainability. The study not only provides practical guidance for NGO leaders but also introduces a robust methodological approach applicable to governance challenges under uncertain conditions.

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BHJO: A Novel Hybrid Metaheuristic Algorithm Combining the Beluga Whale, Honey Badger, and Jellyfish Search Optimizers for Solving Engineering Design Problems

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Computer Modeling in Engineering & sciences 2024年第10期141卷 219-265页

作者： Farouq Zitouni Saad Harous Abdulaziz S.Almazyad Ali Wagdy Mohamed Guojiang Xiong Fatima Zohra Khechiba Khadidja Â Kherchouche Department of Computer Science and Information Technology Kasdi Merbah UniversityP.O.Box 30000OuarglaAlgeria Department of Computer Science College of Computing and InformaticsUniversity of SharjahP.O.Box 27272SharjahUnited Arab Emirates Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China

Hybridizing metaheuristic algorithms involves synergistically combining different optimization techniques to effectively address complex and challenging optimization *** approach aims to leverage the strengths of multiple algorithms,enhancing solution quality,convergence speed,and robustness,thereby offering a more versatile and efficient means of solving intricate real-world optimization *** this paper,we introduce a hybrid algorithm that amalgamates three distinct metaheuristics:the Beluga Whale Optimization(BWO),the Honey Badger Algorithm(HBA),and the Jellyfish Search(JS)*** proposed hybrid algorithm will be referred to as *** this fusion,the BHJO algorithm aims to leverage the strengths of each *** this hybridization,we thoroughly examined the exploration and exploitation capabilities of the BWO,HBA,and JS metaheuristics,as well as their ability to strike a balance between exploration and *** meticulous analysis allowed us to identify the pros and cons of each algorithm,enabling us to combine them in a novel hybrid approach that capitalizes on their respective strengths for enhanced optimization *** addition,the BHJO algorithm incorporates Opposition-Based Learning(OBL)to harness the advantages offered by this technique,leveraging its diverse exploration,accelerated convergence,and improved solution quality to enhance the overall performance and effectiveness of the hybrid ***,the performance of the BHJO algorithm was evaluated across a range of both unconstrained and constrained optimization problems,providing a comprehensive assessment of its efficacy and applicability in diverse problem ***,the BHJO algorithm was subjected to a comparative analysis with several renowned algorithms,where mean and standard deviation values were utilized as evaluation *** rigorous comparison aimed to assess the performance of the BHJOalgorithmabout its counterparts,shedd

关键词： Global optimization hybridization of metaheuristics beluga whale optimization honey badger algorithm jellyfish search optimizer chaotic maps opposition-based learning

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