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检索条件"机构=Computer engineering and informatics"

共 20205 条记录，以下是31-40 订阅

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Concentric Blocking Techniques for Improved Feature Extraction in Local Binary Pattern (LBP) Systems 9

Concentric Blocking Techniques for Improved Feature Extracti...

引用

9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024

作者： Appiah, Obed Martey, Ezekiel Mensah Department of Computer Science and Informatics Sunyani Ghana Department of Computer Science and Engineering Tarkwa Ghana

ISBN: (纸本)9798350385403

The domain of image analysis has seen rapid advancements, particularly feature extraction techniques, driven by the increasing demand for accurate and efficient results. Among these advancements, Local Binary Patterns (LBP) have gained prominence due to their simplicity and computational efficiency. However, traditional LBP methods often need help with image orientation and scale variations, common in real-world scenarios. To address these challenges, this study explores the potential of concentric blocking methods as an alternative to conventional grid-based blocking techniques. Concentric blocking, which organizes image data into circular or spiral patterns, is hypothesized to enhance the robustness and accuracy of LBP-based systems by better accommodating geometric transformations. The study uses multiple LBP variants to compare traditional grid-based blocking with concentric blocking techniques across various image analysis tasks, including face recognition and texture classification. Experimental results demonstrate that the proposed ring-centric technique significantly outperforms traditional methods in precision and computational efficiency. Precision values for the proposed Ring Centric technique reach up to 90.73% for the basic LBP and 88.47% for Neighboring LBP with Distance (NLBPD), indicating its superior performance in handling variations in orientation and scale. Additionally, the technique demonstrates lower running times, making it a highly efficient and accurate choice for image retrieval tasks. This study highlights the importance of image-blocking strategies in enhancing the performance of LBP-based systems and underscores the potential of concentric blocking methods in overcoming the limitations of traditional approaches. The findings contribute to developing more resilient and efficient image analysis systems, with significant implications for applications in computer vision, medical diagnostics, and security systems. © 2024 IEEE.

关键词： Local binary pattern

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An Ethereum Based e-Voting System 16th

An Ethereum Based e-Voting System

引用

16th EAI International Conference on Wireless Internet, WiCON 2023

作者： Spanos, Achilleas Kantzavelou, Ioanna Department of Informatics and Computer Engineering University of West Attica Athens Greece

ISBN: (纸本)9783031580529

Developing an electronic voting system that would replace the old, traditional electing procedures has been a concern of many researchers for years. Blockchain technology could provide some guarantees for voting platforms, such as transparency, immutability, and confidentiality. In most research works, secure and reliable electronic voting systems are required to address known security, anonymity, and fraud issues. This paper presents a secure decentralized electronic voting system, named the EtherVote, which is based on the Ethereum Blockchain network focusing on eligible citizens’ identification. The EtherVote is a serverless e-voting model, thus improving security, privacy, and election costs. An effective method for voter registration and identification to enhance security is proposed. Among the main properties the EtherVote holds are storing encrypted votes, efficiency in handling elections with numerous participants, and simplicity. The system is tested and evaluated, vulnerabilities and possible attacks are exposed, and a discussion examines opportunities for enhancing the proposed e-voting system. © ICST Institute for computer Sciences, Social informatics and Telecommunications engineering 2024.

关键词： Smart contract

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A Personalized Fitness Application for Injury Rehabilitation Using Artificial Neural Networks 19

A Personalized Fitness Application for Injury Rehabilitation...

引用

19th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2024

作者： Kalofonos, Nikolaos Troussas, Christos Krouska, Akrivi Mylonas, Phivos Sgouropoulou, Cleo University of West Attica Department of Informatics and Computer Engineering Egaleo Greece

ISBN: (纸本)9798331504502

This paper presents a personalized fitness mobile application with the use of Artificial Intelligence (AI), namely Artificial Neural Networks (ANN), which contributes to injury rehabilitation. It automatically generates customized workout plans on a weekly basis, taking into consideration user-supplied data on issues such as injury type, fitness level, body mass index, and available equipment. The system continuously updates the workout plans with the help of feedback provided by the user to achieve the best recovery process. Built with React Native for the frontend and Django for the backend, this application guarantees access anytime, anywhere, with smooth data treatment. The paper further reflects on the general implications of using AI in e-fitness, stresses intuitive user interfaces, and furthers possibilities such technologies could undergo. © 2024 IEEE.

关键词： Electronic health record

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Utilizing Fuzzy Weights to Model Logical Reasoning in Digital Escape Rooms: Dynamic Difficulty Adjustment for Enhanced Digital Skill Development 19

Utilizing Fuzzy Weights to Model Logical Reasoning in Digita...

引用

19th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2024

作者： Troussas, Christos Krouska, Akrivi Papakostas, Christos Mylonas, Phivos Sgouropoulou, Cleo University of West Attica Department of Informatics and Computer Engineering Egaleo Greece

ISBN: (纸本)9798331504502

This paper presents a novel digital escape room developed to increase users' digital skills by dynamically adapting puzzles using fuzzy weights. Players find themselves in a virtual room buried with ancient manuscripts and modern digital interfaces and take on a row of puzzles stretching their pattern recognition, logic and sequencing, cryptography, and data sorting capacities. These tasks range from very simple tasks for novice users to more complicated tasks for advanced users, all in the name of the development of skills important to problem-solving, critical thinking, and cyber security. This is novel in including an adaptive difficulty mechanism for regulating fuzzy weights in controlling puzzle complexity in real time. In this manner, it will adapt the challenges in the best manner possible over a continuum from novice to expert levels, ensuring that they will have optimal engagement and continue to develop their skills. Since it interacts with individual performance, the system allows for personalized learning, being linked to an increase in learners' engagement and the development of digital skills at a pace personalized to the learners. © 2024 IEEE.

关键词： computer circuits

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Personalized Path Planning Estimation of Georeferenced Urban Scene Considering Criminality Map: The Case of Attica 4th

Personalized Path Planning Estimation of Georeferenced Urban...

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4th International Conference on Novel and Intelligent Digital Systems, NiDS 2024

作者： Yiakoumettis, Christos Karanikolas, Nikitas Department of Informatics and Computer Engineering University of West Attica Aigaleo Greece

ISBN: (纸本)9783031733437

This paper introduces an advanced georeferenced path planning methodology that enhances urban navigation by incorporating crime statistics to ensure safety and adherence to user preferences. Leveraging a combination of Geographic Information Systems (GIS) and 3D urban modeling, our approach proposes a unique platform that personalizes route planning within the urban landscape of Attica, Greece. Our approach is taking into consideration user’s preferences considering qualitative and quantitative features and a Criminality Map. Initially the user profile is estimated based on a pairwise comparison approach of inductive-based learning methodology using Analytical Hierarchy Process (AHP). The proposed platform provides a personalized path planning estimation for urban areas by aligning geographic data with both user-specific preferences and safety considerations. The efficacy of our approach is demonstrated through a detailed case study of Attica (Greece), where over 700 georeferenced models are analyzed for path planning alongside with criminal reports of Police for the year 2022. This research highlights the potential of combining safety metrics with personalization in path planning, offering significant implications for the development of smart navigation systems in urban environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Crime

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Utilizing Fuzzy Weights for Enhanced User Experience in Virtual Museums 19

Utilizing Fuzzy Weights for Enhanced User Experience in Virt...

引用

19th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2024

作者： Papakostas, Christos Troussas, Christos Krouska, Akrivi Mylonas, Phivos Sgouropoulou, Cleo University of West Attica Department of Informatics and Computer Engineering Egaleo Greece

ISBN: (纸本)9798331504502

In the digital age, the existence and experience of art, history, and culture change worldwide, and the rise of virtual museums ensures that the boundaries are eliminated and interactions with the population diversities are improved for education and culture preservation. This paper analyzes fuzzy weights for personalizing user experiences in virtual museums. Fuzzy weights propose recommendations and subtle content adaptation from user preferences and behaviors to enhance further engagement in the content exposed. Based on a case study of VirtuMuse, we have developed a model to calculate fuzzy weights from user interactions, which are integrated into content management and recommendation systems. User engagement was high, personalization effective and the users were satisfied based on forty university students' evaluation. In conclusion, these findings underscore its effectiveness in matching contents according to individual users' preferences, thereby enhancing their overall experience. Such research highlights the potential for virtual museums to act as preservers of digital cultural heritage and providers of personalized immersive educational experiences. © 2024 IEEE.

关键词： Virtual environments

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The Implementation of Natural Language Processing on Chatbot as Academic Information System: A Case Study of IC2IE 2024 7

The Implementation of Natural Language Processing on Chatbot...

引用

7th International Conference of computer and informatics engineering, IC2IE 2024

作者： Purba, Christian Nataniel Yosua Parulian, Pratama Varian Andika Iswara, Ratna Widya Suhandana, Ariawan Andi Sari, Risna Politeknik Negeri Jakarta Department of Computer and Informatics Engineering Depok Indonesia

ISBN: (纸本)9798331505530

The implementation of Natural Language Processing (NLP) in chatbots has significantly enhanced the efficiency and user experience of academic information systems. This paper presents a case study of the International Conference on Computing, Communication, and Information engineering (IC2IE) 2024, exploring how NLP-driven chatbot can serve as a robust academic information system. By employing advanced NLP techniques, the chatbot effectively understands and processes user inquiries, providing accurate and timely information about the conference schedules, speakers, submission guidelines, etc. Accuracy testing demonstrated an overall performance of 84.533%, with perfect accuracy in the 0.75-1.0 similarity range and 96.15% accuracy in the 0.5-0.74 range. The findings suggest that integrating NLP in academic information systems can streamline operations and enhance communication within academic events. © 2024 IEEE.

关键词： Information use

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Exploring Teachers’ Attitudes and Self-efficacy Towards AI Learning in Science Instruction 4th

Exploring Teachers’ Attitudes and Self-efficacy Towards AI ...

引用

4th International Conference on Novel and Intelligent Digital Systems, NiDS 2024

作者： Stryftoy, Stavroula Krouska, Akrivi Troussas, Christos Mylonas, Phivos Sgouropoulou, Cleo Department of Informatics and Computer Engineering University of West Attica Egaleo Greece

ISBN: (纸本)9783031733437

As teachers strive to adapt to the technologically evolving landscape of education, understanding the impact of Artificial Intelligence (AI) on pedagogical practices becomes increasingly crucial. This study explores the contribution of Artificial Intelligent Learning (AI Learning) model to teachers’ attitudes and self-efficacy in teaching science. As such, an educational intervention based on AI Learning was conducted with a sample of 13 primary school teachers. The teachers were asked to answer a Dimensions of Attitude toward Science (DAS) questionnaire designed for this study, before and after the intervention. Before the intervention, a significant percentage of teachers expressed disagreement about the importance of physics in primary education (53.8%) and had a negative attitude towards its introduction (46.2%). However, after the intervention, there was a substantial shift towards positive attitudes: 38.5% acknowledged the importance of physics and 38.5% expressed a positive intention towards its introduction. The intervention also positively impacted teachers’ anxiety levels, enjoyment of teaching physics, and perceptions of their knowledge adequacy to support students. Additionally, there was a noticeable positive change in teachers’ perceptions of their preparedness to provide help to students. The improvement of DAS score (mean 68.15 before intervention/mean 89.15 after intervention) indicates that the intervention led to a more positive attitude among teachers regarding the use of AI learning in teaching science. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Contrastive Learning

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Evaluating ChatGPT-driven Automated Test Generation for Personalized Programming Education 2

Evaluating ChatGPT-driven Automated Test Generation for Pers...

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2nd International Conference on Foundation and Large Language Models, FLLM 2024

作者： Troussas, Christos Papakostas, Christos Krouska, Akrivi Mylonas, Phivos Sgouropoulou, Cleo University of West Attica Department of Informatics and Computer Engineering Egaleo Greece

ISBN: (纸本)9798350354799

Large Language Models (LLMs), such as ChatGPT, hold immense potential to irrevocably influence the dimension of educational technology by providing empowerment for personalized learning experiences. This paper covers the integration of ChatGPT into existing eLearning platforms toward supporting Java programming education. Using artificial intelligence-based capabilities of ChatGPT in natural language processing, our software enables instructors to generate individual module assessments tailored to a student's profile with unprecedented ease. Evaluation of the effectiveness and efficiency of the system was performed by a comprehensive review of the system, obtaining feedback from instructors and students, and analyzing test performance metrics. The evaluation showed that most teachers found the system very user friendly, with significant savings in time for test creation. Satisfaction related to personalized tests designed by ChatGPT was also adequate, and the average scores achieved on test cases set by ChatGPT were relatively high compared to those manually curated. Results underline the potential of ChatGPT-driven automated test generation for enhancing personalized programming education on eLearning platforms, making available tailored assessment, by consideration of individual needs of students, and increased learning outcomes and efficiency. © 2024 IEEE.

关键词： Java programming language

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Analysing the Effectiveness of a Social Digital Repository for Learning and Teaching: A Fuzzy Comprehensive Evaluation 19

Analysing the Effectiveness of a Social Digital Repository f...

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

作者： Krouska, Akrivi Troussas, Christos Mylonas, Phivos Sgouropoulou, Cleo Department of Informatics and Computer Engineering University of West Attica Egaleo Greece

ISBN: (纸本)9789897586965

Since the beginning of the 21st century, Open Education has emerged as an important field in education. Open Educational Resources (OERs) are closely related to it, which are hosted in Digital Repositories. OERs, despite their global recognition and their growing number, are not yet established widely. Teachers face many challenges when they want to use them, including the lack of pedagogical knowledge about their value, the way to use them, produce them and integrate them into teaching process. The purpose of this research is to strengthen the movement of OERs and to realise their full potential. To this end, a social digital repository was developed, for promoting OERs in primary education. This platform aims to create an open and interactive community of teachers, where through interaction, communication and collaboration, the teachers will be educated on OERs. The effectiveness of this digital repository is assessed using the fuzzy comprehensive evaluation model, in order to handle the subjective and imprecise information and better interpret the results of the survey. The results are very encouraging regarding the adoption of this technology. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： E-learning

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