Withthe rapid development of natural language processing technology, the field of knowledgeengineering is gradually advancing towards a novel phase of knowledge expression and orderly data storage. the purpose of th...
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ISBN:
(纸本)9798400717857
Withthe rapid development of natural language processing technology, the field of knowledgeengineering is gradually advancing towards a novel phase of knowledge expression and orderly data storage. the purpose of this paper is to explore the construction method of knowledge graph of 3D design specification for power plant engineeringbased on deep learning, and to realize the extraction of key information in the design specification and the automatic construction of knowledge graph by integrating the deep learning models such as BERT, Bi-LSTM, CRF, and so on.
Smart cities face challenges in mobility management, such as scalability, latency, resource allocation, security, and energy efficiency, which traditional methods struggle to address effectively. software Defined Netw...
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ISBN:
(纸本)9798350349795;9798350349788
Smart cities face challenges in mobility management, such as scalability, latency, resource allocation, security, and energy efficiency, which traditional methods struggle to address effectively. software Defined Networking (SDN) is a rapidly evolving field that provides centralized control and programmability of network devices. SDN-based MM can advance sustainable urban development by centralizing control, adapting to changes, optimizing resource allocation, reducing energy consumption, and improving urban mobility. this paper investigates SDN's role in enhancing urban sustainability and analyzes its implications for sustainable cities. the paper categorizes the use of SDN technology to improve various aspects of smart cities into three categories: Emergency Services and Traffic Management, Security and DDoS Defense, and Network Performance. Results showed a 20% reduction in average travel times and a 33% improvement in emergency response times. Future research should focus on advanced real-time traffic management algorithms, integrating emerging technologies like 6G, and artificial intelligence to improve SDN-based systems' scalability and efficiency in smart cities.
this paper introduces an advanced functionality designed to facilitate the learning of UML class diagram construction. Built upon an integrated Retrieval Augmented Generation Large Language Model, the functionality pr...
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ISBN:
(纸本)9798400706226
this paper introduces an advanced functionality designed to facilitate the learning of UML class diagram construction. Built upon an integrated Retrieval Augmented Generation Large Language Model, the functionality provides enriched feedback by leveraging accumulated knowledge. the functionality is implemented in an existing tool named UML Miner, a Visual Paradigm plugin that captures and analyzes student-generated UML diagrams by applying process mining techniques. By offering personalized feedback and continuous support during modeling, the tool aims to enhance learning outcomes and students' engagement.
software developers often use logs to, e.g., investigate bugs, familiarize themselves withthe underlying system, or improve performance. To do so, they commonly rely on text editors or their own scripts. this lack of...
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ISBN:
(纸本)9798350395693;9798350395686
software developers often use logs to, e.g., investigate bugs, familiarize themselves withthe underlying system, or improve performance. To do so, they commonly rely on text editors or their own scripts. this lack of appropriate tooling remains a primary challenge in the industrial application of log analysis (state-of-the-practice), despite many tools and techniques proposed by previous scientific studies (state-of-the-art). To aid in bridging this gap between industry and academia, between state-of-the-practice and state-of-the-art, we zoom in on the ways developers perform log analysis. In particular, we conduct an exploratory case study to understand what structures developers identify in logs and how they utilize their knowledge in this process. based on the results of the case study, we identify two classes of features, one related to encoding domain knowledge and another one related to sharing domain knowledge. We implement two features from the first class in an open-source log analysis platform designed in collaboration with our industrial partner. To evaluate the impact of the implemented features on log analysis, we conduct a user evaluation withsoftware developers from our industrial partner. During this evaluation developers complete several tasks using the features and complete a usability questionnaire. Results show that users are able to encode their domain knowledge about the logs during their analysis. Furthermore, we observe that participants value highly ease of use and indicate an interest in using the features in their current practice. this sentiment is reflected in the resulting scores of the usability questionnaire, indicating above-average usability. Our findings pave the way to bridge the gap between academia and industry and facilitate the application of advanced log analysis approaches in industry.
Considering the current state of teaching for the course Web Design and Production, which involves a vast amount of knowledge points but insufficient class hours, as well as a singular organization of teaching content...
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this study explores the application of sliding mode control to the ball and beam system, a widely studied subject. Sliding mode control, known for its robustness, simplicity, and adaptability, has been extended throug...
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the integration of Electric Vehicle (EV) and Distributed Generation (DG) introduces heightened uncertainties to distribution networks. To tackle the precision and real-time challenges inherent in conventional control ...
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Health risk monitoring system9;s objective is to offer top-notch patient care using an ESP32 microcontroller, which might be perceptive enough to assess the information gathered by IoT sensors and recommend a check...
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DC power flow controllers (DCPFCs) could effectively enhance the controllability of power flows in meshed DC grids. Evolved from traditional DCPFCs, modular DCPFCs (MDCPFC) offer a module-based architecture, which has...
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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 ...
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