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检索条件"丛书名=Communications in Computer and Information Science"

共 43670 条记录，以下是191-200 订阅

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Meta-prompt Engineering in ChatGPT-4 for AI-Generated BPM Reference Models 15th

Meta-prompt Engineering in ChatGPT-4 for AI-Generated BPM Re...

引用

15th International Conference on Subject Oriented Business Process Management

作者： Piller, Christoph Berg 15a D-85095 Denkendorf Germany

ISBN: (纸本)9783031720406;9783031720413

This paper delves into the application of prompt engineering within the context of Business Process Management (BPM), focusing on the creation of a meticulously designed meta-prompt to facilitate the generation of process reference models via ChatGPT-4, a leading-edge Large Language Model (LLM). By exploring the methodology and efficacy of our approach, we demonstrate the significant potential of utilizing AI to streamline and optimize BPM. Our research highlights the critical role of precise prompt engineering in achieving accurate, relevant, and cost-effective process models, paving the way for broader application and integration with BPM tools for enhanced functionality. This study not only advances the understanding of AI's capacity to revolutionize BPM but also sets the stage for future explorations into the adaptability and scalability of AI-driven process modeling across various industries.

关键词： Reference Models Prompt Engineering ChatGPT-4 BPM S-BPM

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A Novel Electronic Payment System Based on Zero-Knowledge Proof and Blockchain 5th

A Novel Electronic Payment System Based on Zero-Knowledge Pr...

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5th International Conference on Financial Technology-ICFT

作者： Viet-Thang Nghiem Thi-Huong Tran Ba-Lam Do Hanoi Univ Sci & Technol Hanoi Vietnam

ISBN: (纸本)9789819638109;9789819638116

As the global economy continues to experience rapid digital transformation, electronic payment (e-payment) has emerged as a pivotal driver of financial transactions worldwide. In this context, ensuring the security and privacy of electronic payment transactions has become a paramount concern. In this paper, we introduce a novel method of e-payment that incorporates a zero-knowledge proof scheme and blockchain technology to enhance privacy and bolster trust between parties engaged in financial transactions. In particular, we rely on advanced cryptographic techniques to verify transaction information without exposing sensitive payment details such as customers' credit card numbers. We implemented the proposed system to evaluate the performance and effectiveness. The results show that our approach is promising.

关键词： Online payment Zero-Knowledge proof Blockchain

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Three-Phase VSI Operated by FCS - MPC with Efficient Steady-State and Transient Behavior 7th

Three-Phase VSI Operated by FCS - MPC with Efficient Steady-...

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7th Iberoamerican Congress on Smart Cities-ICSC CITIES

作者： Espinosa, Eduardo E. Figueroa, Victor J. Lizana, F. Ricardo Ramirez, A. Guillermo Melin, Pedro Baier, Carlos Serra, Federico M. Univ Catolic Santisima Concepc Dept Elect Engn Concepcion Chile Univ Bio Bio Dept Elect & Elect Engn Concepcion Chile Univ Talca Dept Elect Engn Talca Chile Univ Nacl San Luis Lab Control Automat LCA Fac Ingn & Ciencias Agropecuarias CONICET San Luis Argentina

ISBN: (纸本)9783031853234;9783031853241

MPC techniques applied in power electronics have been categorized into two fundamental approaches: Continuous Model Predictive Control (CSS - MPC) and Finite State Model Predictive Control (FCS - MPC). The approach that FCS-MPC seeks is to use the power converter's finite number of switching states to solve the optimization problem. One of the advantages that predictive control provides is to include the nonlinearities of the converter and thus obtain the behavior of the variables for different switching states, but, on the contrary, its greatest disadvantage, and one of those that is most regularly sought to be solved, is its high switching frequency. In this work, a three-phase VSI is studied and controlled through FCS-MPC, considering its advantages and attacking its disadvantages. In this way, the switching frequency is reduced in a steady state, but in a transient state, the FCS - MPC is left in its natural state, obtaining greater power converter efficiency.

关键词： Predictive Control Efficient Power Converter

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Outline of a Theoretical and Technological Approach for Reducing Inequalities in the Design of a 360 Synchronous Interactive Telepresence System 10th

Outline of a Theoretical and Technological Approach for Redu...

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10th International Conference of the Immersive Learning Research Network

作者： Garavaglia, Andrea Terrenghi, Ilaria De Nino, Maurizio Univ Milan Via Festa Perdono I-20122 Milan Italy

ISBN: (纸本)9783031804717;9783031804724

The paper discusses the development of an immersive prototype for synchronous learning, emphasizing pedagogical and technological choices aimed at supporting equity and inclusion in an interdisciplinary perspective. Rooted in the pedagogical approach, it focuses on enhancing synchronous 360-degree video for interactive telepresence in higher education. Addressing the lack of immersive synchronous videoconferencing systems, the project aims to facilitate synchronous interaction between teachers, students, peers, and the learning environment, and to promote feedback loop. The prototype, called ISL360 (ImmerSyncLearn360), aims to promote equity and inclusion by creating student-centered post-pandemic educational pathways that are accessible to all. It ensures synchronous presence for those who experience various types of barriers to movement (physical, psychological, or otherwise) and enables everyone to reach spaces that would otherwise be inaccessible. Beginning with a review of the literature on equity and inclusion with immersive technologies, we will present some design choices, both pedagogical and technological.

关键词： Telepresence Immersive Education Inclusive Technology

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Leveraging AI Techniques for an Efficient Approach to Smart City Planning and Maintenance 7th

Leveraging AI Techniques for an Efficient Approach to Smart ...

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7th Iberoamerican Congress on Smart Cities-ICSC CITIES

作者： Pallavi Joshi, Sandeep Manipal Univ Jaipur Jaipur Rajasthan India

ISBN: (纸本)9783031853234;9783031853241

This research paper aims to examine the use of proposed AI techniques and their effectiveness when applied to developing countries. Developed countries have applied Sentiment Analysis to great effect in the past with significant results;this was possible due to foundational infrastructure and an accustomed urban population. For developing countries ushering into urban centers and lacking infrastructure, smart city planning and maintenance must adapt to the unique behavioral, socioeconomic, and bureaucratic challenges. Sentiment Analysis of publicly obtained data coupled with cooperation from local authorities could prove instrumental in significantly improving the quality of life in smart cities. The analysis could provide immediate relief from problems with simple solutions that usually evade easy and prompt discovery by the authorities. As countries continue to develop, the analysis of existing smart cities could provide guidelines to consult when planning new smart cities. Employing AI-based planning algorithms coupled with Big Data Analytics shows considerable promise here;the concentration of highly skilled employees and their migration patterns as work-from-home policies allow for completely remote employment opportunities could be a big factor in selecting areas for rigorous urbanization. Smart city planning would benefit a lot from AI-assisted disaster prevention and management considerations: the placement of roads, the shape of apartment blocks, the size of their foundation, occupational capacities, etc. could prevent loss of life and property in events of disaster. This paper aims to address these challenges and examine their pre-existing solutions.

关键词： Big Data Machine Learning NLP Sentiment Analysis Social Media Smart Cities VADER

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A Data-Efficient Nearest-Neighbor Language Model via Lightweight Nets 20th

A Data-Efficient Nearest-Neighbor Language Model via Lightwe...

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20th China Conference on Machine Translation

作者： Zhou, Qinhao Xiang, Xiang Wang, Ke Zhang, Yuqi Wu, Yuchuan Li, Yongbin Huazhong Univ Sci & Technol Natl Key Lab MultiSpectral Info Intelligent Proc Sch Artificial Intelligence & Automat Wuhan Peoples R China Alibaba Grp Beijing Peoples R China Natl Practice Base Outstanding Engn Digital Tech Hangzhou Peoples R China

ISBN: (纸本)9789819622917;9789819622924

Nearest-Neighbor Language Models (kNN-MT) leverage the contextual representations and next-word predictions of tokens to construct a vector-based database. During the inference stage, this database is utilized to assist the model in predicting the next word, resulting in impressive performance improvements. However, as the volume of data grows, the storage requirements for the vector-based database in kNN-MT continue to increase. Furthermore, the kNN retrieval performed for each predicted token introduces additional latency during the inference stage. To address these limitations, we propose training a lightweight neural network as a substitute for the vector datastore and kNN search. Our approach significantly reduces the storage overhead while maintaining fast inference speed, as demonstrated by our experiments on various translation datasets.

关键词： Machine Translation kNN lightweight network

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Investigation into the Impact of Speaker Adversarial Perturbation on Speech Recognition 19th

Investigation into the Impact of Speaker Adversarial Perturb...

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19th National Conference on Man-Machine Speech Communication

作者： Guo, Chenyang Chen, Liping Lee, Kong Aik Ling, Zhen-Hua Guo, Wu Univ Sci & Technol China Hefei Peoples R China Hong Kong Polytech Univ Hong Kong Peoples R China

ISBN: (纸本)9789819610440;9789819610457

Recent development in adversarial perturbation has shown its efficacy for voice privacy protection. This paper further explores the impact of speaker adversarial perturbation on speech in downstream automatic speech recognition (ASR) tasks. To be specific, the perturbation is generated by attacking a speaker embedding extractor in an untargeted manner and added to the original speech, resulting in the adversarial version. Additionally, we examine the efficacy of incorporating the supervision from an ASR model into the perturbation generation process. Experiments were conducted on the LibriSpeech dataset, where two ASR models with different levels of robustness were examined. Firstly, the results showed a decline in the ASR performance caused by the speaker adversarial perturbation, inferring the negative influence of the speaker perturbation on speech recognition. With the supervision of the ASR model during perturbation generation, its impact on speech recognition could be mitigated. Moreover, the ASR model with a lower robustness level provided a better constraint for generating perturbations, compared to the one with a higher robustness level. Audio samples can be found in (https://***/Speaker-Adversarial-Perturbation-Impact-on-ASR/).

关键词： Voice privacy protection Speaker adversarial perturbation Speech recognition

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Metaverse Education Research Across Latin America: A Systematic Mapping Study 10th

Metaverse Education Research Across Latin America: A Systema...

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10th International Conference of the Immersive Learning Research Network

作者： Fernandes, Filipe Werner, Claudia Fed Inst Southeast Minas Gerais IF Sudeste MG Manhuacu MG Brazil Fed Univ Rio de Janeiro COPPE UFRJ Rio De Janeiro Brazil

ISBN: (纸本)9783031804717;9783031804724

The investigation of contributions from Latin American researchers is highly relevant in the context of the Metaverse for education and immersive learning. In this way, the objective of this study is to characterize the state of the art of Metaverse for Education based on Latin American research. Based on our findings, papers are predominantly focused on empirical and development studies, suggesting an under-representation of theoretical and conceptual approaches which are crucial for deeper understanding. Additionally, there's a significant opportunity to expand the research to other Latin American countries, besides Brazil, which would encourage a broader diversity of approaches and perspectives.

关键词： Metaverse For Education Latin America Systematic Mapping Study

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A Computational Intelligence Approach for Car Damage Assessment 7th

A Computational Intelligence Approach for Car Damage Assessm...

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7th Iberoamerican Congress on Smart Cities-ICSC CITIES

作者： Cuevas, Franco Barenchi, Lucas Alonso, Ignacio Nesmachnow, Sergio Moreno-Bernal, Pedro Univ Republica Montevideo Uruguay Univ Autonoma Estado Morelos Cuernavaca Morelos Mexico

ISBN: (纸本)9783031853234;9783031853241

This article presents an approach applying computational intelligence for the problem of detecting and estimating car damage from images. An automatic approach is developed applying specific variants of convolutional neural networks, a domain decomposition approach, and exhaustive data preprocessing techniques. A specific real case study is addressed, using real information from the State Insurance Bank (Banco de Seguros del Estado, BSE) in Uruguay. Results demonstrate the effectiveness of the proposed approach for identifying and estimating damages in several vehicle components and the potential of applying machine learning techniques for automatic car damage estimation task for the considered case study.

关键词： car damage estimation insurance companies computational intelligence Smart Cities

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Improving Agile Maturity in Data Teams: A Framework for Enhanced Business Process Agility 15th

Improving Agile Maturity in Data Teams: A Framework for Enha...

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15th International Conference on Subject Oriented Business Process Management

作者： Moya, Ana Hein, Michael Bier, Sabrina Int Sch Management Hauptstr 27 Aufgang E D-10827 Berlin Germany Datatoolbox Scheurenstr 43 D-40215 Dusseldorf Germany

ISBN: (纸本)9783031720406;9783031720413

This Reflection Paper focuses on refining and implementing a maturity model specifically designed to support Data Teams, aligning with the principles of Business Process Management (BPM). The rapid ascension of agile methodologies as a core business strategy underscores the imperative for Data Teams to exhibit advanced self-organization and adaptability. Drawing upon the foundational theories proposed by (Lederer & Thummerer, 2019) and incorporating contemporary agile practices, this study tailors a maturity model to the specific exigencies of Data Teams. Through a specialized adaptation process, including a bespoke survey, the research evaluates the model's efficacy in real-world settings, providing insights into the essential attributes that promote agility and selforganization in Data Teams. The outcomes describe a nuanced framework that informs strategic enhancements in Data Teams, facilitating their key function in driving agile BPM and creating organizational resilience in the face of shifts business landscapes.

关键词： Business Process Management Process Agility Maturity Model Data Teams Increase Business Value

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