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检索条件"任意字段=18th International Conference on Software Engineering and Knowledge Engineering"

共 35586 条记录，以下是411-420 订阅

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Attribution-based Personas in Virtual software engineering Education 23

Attribution-based Personas in Virtual Software Engineering E...

引用

IEEE/ACM 45th international conference on software engineering - software engineering Education and Training (ICSE-SEET)

作者： Madhi, Klaudia Reimer, Lara Marie Jonas, Stephan Tech Univ Munich Sch Computat Informat & Technol Munich Germany Univ Hosp Bonn Inst Digital Med Bonn Germany Slack Technol San Francisco CA USA Microsoft Redmont WA USA Zoom Video Commun San Jose CA USA

ISBN: (纸本)9798350322590

the COVID-19 pandemic and the consequent introduction of virtual collaboration have introduced educators to unexpected situations and challenges. One of these challenges is social distance, which minimizes knowledge of another person's character, and leaves room for misconceptions. Perceptions of a person's personality are also referred to as dispositional attributions and, when misplaced, impact the educator-student dynamics. this paper studies dispositional attributions exhibited by software engineering educators in higher education and aims to raise awareness of potential misconceptions affecting the educator-student relationship caused by the virtual setting. We performed an exploratory case study in a practical university course with twelve distributed software engineering teams, each led by one or two educators. the course was conducted entirely virtually during the COVID-19 pandemic. the research process included discovering, categorizing, and modeling attribution-based personas, followed by qualitative and quantitative research methods of semi-structured interviews and survey questionnaires. these personas represent the subjects of potential misconceptions and encapsulate typical behaviors and attributions. Our research created seven personas: the Unprofessional, Ego is the Enemy, the Detached, the Loner, the Underperformer, Hiding but not Seeking, and Distraction Monster. these personas differ primarily in terms of character traits and motivation attributed to them. the results provide evidence that the virtual setting of the course can lead to several dispositional attributions. Educators in virtual software engineering settings should be aware of these attributions and their potential impact on the educator-student relationship.

关键词： attribution theory distributed teams teaching agile software development virtual project management

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Integrating Clinical Expertise into software Development: Evaluating the Use of openEHR Archetypes for Requirements Elicitation in Healthcare Applications

Integrating Clinical Expertise into Software Development: Ev...

引用

18th international Joint conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

作者： Silva, José Araújo, André Computing Institute Federal University of Alagoas Av. Lourival Melo Mota S/N Cidade Universitária Maceió Brazil

OpenEHR archetypes are standardized frameworks designed to model clinical information in healthcare systems, enabling a consistent and integrated representation of complex data. these models encompass common clinical elements such as symptoms, diagnoses, and treatments, ensuring that information is understood and applied uniformly across different contexts. this paper investigates the use of openEHR archetypes in the requirements elicitation and specification process for clinical systems, highlighting their potential to integrate healthcare professionals’ knowledge into software development. the literature review reveals a significant gap in the participation of these professionals during the requirements elicitation phase, especially in studies that apply archetypes. Quantitative and qualitative results positively perceive the methodology used, highlighting clarity, collaboration, and alignment with end-user needs. Statistical analysis using the Wilcoxon test presented significant p-values, indicating that professionals considered the method straightforward, intuitive, and conducive to engagement, with real opportunities for contribution to the validation of requirements. the qualitative data reinforce the importance of a collaborative environment and suggest the need for deeper involvement of healthcare professionals at all process stages. In conclusion, this research indicates that applying openEHR archetypes, combined with more significant interaction with healthcare professionals, is promising for integrating clinical expertise effectively and directly into developing clinical systems. © 2025 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Application programs

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Advanced Neural Network Approaches for Distinguishing Real from Synthetic in GAN-generated Data Authenticity Challenges 18

Advanced Neural Network Approaches for Distinguishing Real f...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Subaranjani, T. Jayaraj, N. The Oxford College of Engineering Dept. of Artificial Intelligence and Machine Learning Bangalore India The Oxford College of Engineering Dept. of Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9789380544519

Amid the transformative advancements of Generative Adversarial Networks (GANs) in machine learning, a pertinent challenge arises: discerning real instances from synthetic ones. this research introduces a novel neural network model meticulously tailored to differentiate between genuine tasks and those artfully crafted by GANs. the paper elaborates on the unique architectural design and optimization techniques employed, offering a comprehensive insight into the model's development and testing phases. Empirical evaluations reveal an unparalleled accuracy rate, underscoring the model's practicality and efficacy. Notwithstanding its high precision and recall balance, the study identifies potential areas of refinement, ensuring its adaptability to future GAN sophistications. As the realm of artificial data generation continues to evolve, this research stands as a beacon, advancing the understanding and tools essential for maintaining authenticity and integrity in data-driven domains. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Data Authenticity Generative Adversarial Networks Neural Network Precision Recall Synthetic Data Detection

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Cloud Cryptography: Mechanism of Different Encryption Standards 18

Cloud Cryptography: Mechanism of Different Encryption Standa...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Lanke, Ravikumar Md Zubair Rahman, A.M.J. Bhardwaj, Rajat Somashekhara Reddy, D. Jain, Parth Mahesh, T.R. Dept. of Computer Science and Engineering Bangalore India Al-Ameen Engineering College Karundevanpalayam Erode India Aset Amity University Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9789380544519

the term 'cloud cryptography' describes the application of cryptographic methods and protocols to protect communications and data in cloud computing settings. the provision of computing services, including storage, processing power, and applications, via the internet is known as cloud computing. Although cloud computing has numerous advantages, such as cost-effectiveness and scalability, it also poses security risks because sensitive data is processed and stored outside of the conventional network borders of an organization. Cloud cryptography plays a pivotal role in cloud security by safeguarding against unauthorized access, data disclosure, modification, or destruction. Keeping up with the most recent cryptographic methods and protocols is crucial to addressing new threats and weaknesses in this industry, which is always changing. Organizations can safeguard their data from unauthorized access, modification, and destruction by utilizing encryption techniques. this article explores the cloud cryptography along with its different encryption standards. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Architecture Benefits Cloud Computing Cryptography Encryption

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ADAPTING thE software DESIGN PATTERN MODEL FOR AI-ENABLED DESIGN COMPUTING 29th

ADAPTING THE SOFTWARE DESIGN PATTERN MODEL FOR AI-ENABLED DE...

引用

29th international conference of the Association-for-Computer-Aided-Architectural-Design-Research-in-Asia (CAADRIA)

作者： Kimm, Geoff White, Marcus Burry, Mark Swinburne Univ Technol Hawthorn Vic 3122 Australia

ISBN: (纸本)9789887891819

Exponential AI development requires an adaptation to new technology by traditionally reluctant architects and allied practitioners. this paper examines the potential of the software design pattern (SDP) model, used in software engineering to capture and reapply designs, as one underpinning. Patterns have creativity and pedagogical benefits in parametric modelling, yet consideration of AI and broader design computing as well as the derivation and versatility implied by an SDP model are underexamined. this research questions how, in an AI context, new patterns may evolve for varied AI levels and non-geometrical features. It is undertaken in the Unity game engine with critical application of two prominent extant patterns as a computational workflow design response to a real-world citizen engagement scenario. A novel, feature-agnostic pattern is derived with a simple AI model and is verified for other AI models. the work concludes design computing patterns can abstract existing pattern knowledge to flexibly evolve and apply across rapidly changing AI-enabled design computing contexts and thereby assist practitioners to positively respond to AI advances.

关键词： Artificial Intelligence Computational Design software Design Patterns Architectural Practice Unity 3D Intelligent Agents

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Decoding Student Feedback in engineering Education: A Latent Dirichlet Allocation and PyLDAvis Approach 4th

Decoding Student Feedback in Engineering Education: A Latent...

引用

4th international conference on Artificial Intelligence and knowledge Processing

作者： Alhassan, Ilyas Rege, Manjeet Univ St Thomas Dept Software Engn & Data Sci St Paul MN 55105 USA

ISBN: (纸本)9783031734762;9783031734779

this study investigates the efficacy of Latent Dirichlet Allocation (LDA) and PyLDAvis in analyzing feedback from final-year engineering students. By dissecting responses to strategically selected questions, we identify key themes that include collaboration, innovation, and technical skills development. this research provides actionable insights for educators to refine teaching strategies and curriculum design to align with industry trends and student experiences. Our findings underscore the unique capabilities of LDA and PyLDAvis in capturing and visualizing students' nuanced perspectives, thereby offering a valuable tool for enhancing responsive engineering education.

关键词： engineering Education Student Feedback LDA Analysis PyLDAvis Visualization Curriculum Development

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Compatibility Analysis of Construction and Demolished Waste in the Modern Era of Sustainable Road Infrastructure 18

Compatibility Analysis of Construction and Demolished Waste ...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Kaur, Harshpreet Joshi, Mohendra Sood, Mona Singh, Sandeep Maan, Vikasdeep Singh Lpu Lovely School of Architecture and Design Punjab Phagwara India University Centre for Research and Development Chandigarh University Dept. of Civil Engineering Gharuan India

ISBN: (纸本)9789380544519

Construction waste is becoming a problem day by day, with ever changing human needs, architecture styles;wear 'n tear and many other reasons. Rapid industrial development and disregard towards the environmental health of our surroundings will bring a gift of heaps of excessive waste for the coming generations. Recycling, recovering and reusing being the need of the current scenario due to the lack of spaces for putting waste away in form of landfills. this paper focuses on the possibilities of using building material for the next construction using recycled, reused or reclaimed construction waste. Recycled material such gravel, sand, soil, Wood, brick masonry, concrete, metal, bitumen and others;can be used by various methods, which has been found to have the highest energy saving potential. the Present study has made an attempt to understand the change in the physical and engineering properties of Crushed Stone Aggregates, Gravels, Concrete Aggregates, Demolished waste and Mortar and brick workwaste. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Construction and Demolished waste (CDW) engineering Strength Environmental concerns physical properties waste utilization

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knowledge Graph Recommendation Algorithm Combined with PersonalRank Sampling 4

Knowledge Graph Recommendation Algorithm Combined with Perso...

引用

4th international conference on Consumer Electronics and Computer engineering, ICCECE 2024

作者： Jin, Haibo Feng, Yujing School of Software Engineering Liaoning University of Engineering and Technology Huludao China

ISBN: (纸本)9798350384062

In order to effectively solve the problem of model cold start, the recommendation system was introduced into the knowledge graph., but it is difficult to obtain accurately user's preference because of strong noise in the expansion of knowledge graph. To solve this problem, a recommendation algorithm which combines the PersonalRank algorithm and knowledge graph was proposed. First of all, the entities generated from the knowledge graph were sampled by the PersonalRank algorithm, selecting areas that were more important to the target node. then it was necessary to select the aggregator to aggregate features. Finally, the user features and item features were input into the prediction function to forecast the probability of user clicking items, thus reducing the influence of noise on the experimental results and improving the accuracy of the recommendation. Experiments were carried out on MovieLens-1M and Book-Crossing, and the AUC, ACC, Precision and Recall indexes were used to evaluate. the results show that PersonalRank algorithm can improve the performance of model recommendation. © 2024 IEEE.

关键词： knowledge graph

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Linear Encryption Techniques for Counteracting Information-based Stealthy Attacks 18

Linear Encryption Techniques for Counteracting Information-b...

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18th international conference on Control Automation Robotics and Vision

作者： Shang, Jun Zhang, Hanwen Rao, Weixiong Hong, Yiguang Tongji Univ Frontiers Sci Ctr Intelligent Autonomous Syst Shanghai Inst Intelligent Sci & Technol Natl Key Lab Autonomous Intelligent Unmanned Syst Shanghai 200092 Peoples R China Tongji Univ Dept Control Sci & Engn Shanghai 200092 Peoples R China Univ Sci & Technol Beijing Sch Automat & Elect Engn Key Lab Knowledge Automat Ind Proc Minist Educ Beijing 100083 Peoples R China Tongji Univ Sch Software Engn Shanghai 200070 Peoples R China

ISBN: (纸本)9798331518509;9798331518493

this study explores linear encryption techniques to protect against information-based stealthy attacks on remote state estimation. Utilizing smart sensors equipped with local Kalman filters, the system transmits innovations rather than raw measurements via wireless networks. However, this transmission is susceptible to malicious data interception and manipulation by attackers. To safeguard against these stealthy threats, encryption and decryption modules are integrated into the system. this research aims to assess the effectiveness of the encryption strategy when faced with information-based stealthy attacks. A key contribution of this paper is the adoption of the most comprehensive attack models, moving away from the conventional reliance on innovation-based linear attack models. Our results demonstrate that the proposed linear encryption approach effectively mitigates stealthy attacks under certain mild conditions. the efficacy of the encryption is further validated through numerical examples, corroborating the theoretical advancements presented in this paper.

关键词： Encryption algorithms

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Abstract Interpretation for PLONKish Circuits 34

Abstract Interpretation for PLONKish Circuits

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34th Annual international conference on Collaborative Advances in software and Computing, CASCON 2024

作者： Soureshjani, Fatemeh Heidari Gorzny, Jan Polytechnique Montréal Computer Engineering and Software Engineering Department Canada Zircuit Canada

ISBN: (纸本)9798331504830

Zero-knowledge proof systems are becoming powerful tools in domains like blockchain networks. In this work, we improve abstract interpretation methods to sanity check PLONKish arithmetizations of computation, such as those used in the Halo2 zero-knowledge proof system. Our work aims to improve the accuracy of checks for unused gates, assigned but unconstrained values, and possibly under-constrained circuits, all of which may indicate a bug in the circuits. We show how copy constraints and arbitrary lookup functions can be used in abstract interpretation based analysis of these circuits. We are motivated to revisit this topic as these circuits, through their use in general purpose blockchain networks, may be responsible for the security of millions of dollars in cryptocurrency. © 2024 IEEE.

关键词： Blockchain

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