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SINDIT: A Framework for knowledge Graph-Based Digital Twins in smart Manufacturing 1st

SINDIT: A Framework for Knowledge Graph-Based Digital Twins...

引用

1st international Workshop on the Design, Verification, and Validation of IoT Systems, GRAAL4IoT 2024 and 1st international Workshop on IoT Standards, STAND4IoT 2024, held in conjunction with 7th IFIP WG 5.5 international Cross-Domain conference on Internet of Things, IFIPIoT 2024

作者： Lam, An Ngoc Svaland, Gøran Brekke Barcelona, Miguel Ángel Keaveney, Shane Mallouli, Wissam Nguyen, Luong Belbachir, Assia Ma, Xiang Srivastava, Akhilesh Kumar Belbachir, Ahmed Nabil SINTEF AS Oslo Norway Instituto Tecnológico de Aragón Zaragoza Spain Croom Medical Croom Co. Limerick Ireland Montimage Paris France NORCE Norwegian Research Centre Grimstad Norway

ISBN: (纸本)9783031820649

Digital twins are revolutionizing smart manufacturing by facilitating real-time monitoring, simulation, and optimization of physical processes. This paper introduces the SINDIT framework, a comprehensive approach tailored for developing knowledge graph-based digital twins. By seamlessly integrating cognitive capabilities, SINDIT enhances decision-making and operational efficiency within manufacturing systems. Central to its architecture is a robust data pipeline, adept at organizing and linking vast amounts of heterogeneous data, thereby enabling advanced data analytics and reasoning. Case studies from the pilots of the COGNIMAN project underscore the practical utility and benefits of the SINDIT framework. These studies showcase notable enhancements in predictive maintenance, process optimization, and overall productivity. By harnessing the power of knowledge graphs and cognitive capabilities, SINDIT represents a promising avenue for driving innovation and efficiency in smart manufacturing. Through this framework, manufacturers can achieve a higher level of operational insight and agility, leading to improved performance and competitiveness in the market. © IFIP international Federation for Information Processing 2025.

关键词： smart manufacturing

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international conference on Web-Based Learning, ICWL 2013 held with 1st international Workshop on Ubiquitous Social Learning, USL 2013, international Workshop on smart Living and Learning, IWSLL 2013, 3rd international Symposium on knowledge Management and E-Learning, KMEL 2013, international Workshop on Cloud Computing for Web-Based Learning, IWCWL 2013, international Workshop on Web Intelligence and Learning, WIL 2013, international Workshop on E-book and Education Cloud, IWEEC 2013

International Conference on Web-Based Learning, ICWL 2013 he...

引用

12th international conference on Web-Based Learning, ICWL 2013, held with 1st international Workshop on Ubiquitous Social Learning, USL 2013, international Workshop on smart Living and Learning, IWSLL 2013, international Workshop on Cloud Computing for Web-Based Learning, IWCWL 2013, international Workshop on Web Intelligence and Learning, WIL 2013, international Workshop on E-book and Education Cloud, IWEEC 2013 and 3rd international Symposium on knowledge Management and E-Learning, KMEL 2013

ISBN: (纸本)9783662463147

The proceedings contain 35 papers. The special focus in this conference is on Web-Based Learning. The topics include: A web-based virtual lab platform for algorithm learning;a genetic algorithm-based multiple characteristics grouping strategy for collaborative learning;adaptation based on navigation type and learning style;a novel recommendation relevancy measure for collaborative filtering;automatic clustering of research articles using domain ontology and fuzzy logic;analyzing learning flows in digital learning ecosystems;an interactive 3D social graphs for social learning;improving keynote trust management model based on user behavior for social learning;enhancing teamwork performance in mobile cloud-based learning;the E-book learning system with problem-based learning in a public health nursing practice course;the learning effect of students’ cognitive styles in using cloud technology;framework of supporting structured game script learning system;performance analysis using Petri net based mapreduce model in heterogeneous clusters;an weighted-content strategy for integrating heterogeneous itembanks;teaching effectively with the multi-screen multimedia integrated system;preliminary investigation of interactive behaviors in distant collaborative exergame and clustering XML documents for web based learning.

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Research on Digital Transformation and Upgrading of University Engineering technology Majors based on Neural Network 24

Research on Digital Transformation and Upgrading of Universi...

引用

5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Ning, Lingling Wang, Jianqiang Liu, Ranran Shandong University of Engineering and Vocational Technology Shandong Jinan China

ISBN: (纸本)9798400709999

This paper studies the digital transformation and upgrading algorithms of universities based on artificial intelligence. Through the precise docking of the digital transformation and development of the manufacturing industry, we study and determine the knowledge structure, ability requirements, and professional digital literacy of intelligent manufacturing digital talents by the process design and programming of industrial robots, the operation and integrated debugging of the production line of intelligent manufacturing workshop, production control and maintenance and other job requirements. Through experiments, we conclude that the algorithm in this paper has advantages. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： smart manufacturing

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SHIKSHA: smart Hybrid Intelligent knowledge System for Helping Academia 2nd

SHIKSHA: Smart Hybrid Intelligent Knowledge System for Help...

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2nd international conference on Applied Algorithms, ICAA 2025

作者： Paul, Aishik Shaha, Abhisri Mukherjee, Arijit Guha, Debajit Das, Priyam Das, Ankan Tarafdar, Anurina Sen, Anindya Department of Electronics and Communication Engineering Heritage Institute of Technology West Bengal Kolkata700107 India Department of Computer Science and Engineering Heritage Institute of Technology West Bengal Kolkata700107 India Heritage Institute of Technology West Bengal Kolkata700107 India

ISBN: (纸本)9783031845420

Our smart Hybrid Intelligent knowledge System for Helping Academia (SHIKSHA) addresses critical challenges in classroom and examination management by offering a fully automated solution. Key features consist automated attendance tracking with integrated intruder detection which eliminates manual errors and enhances security. The system also improves examination management using the Coordinate and Area-based Row Column Mapping (CAB-RCM) algorithm ensuring accurate seat-matrix mapping via face recognition. SHIKSHA automates student performance monitoring by analyzing behavior with face tracking and seating patterns to help educators make data-driven decisions. It supports resource management by sending maintenance alerts based on projector usage with a brightness-based algorithm. It monitors classroom audio to assess attentiveness and track syllabus progress. Utilizing existing CCTV cameras and microphones, SHIKSHA operates with minimal hardware requirements and offers an eco-friendly, cost-effective and scalable solution that enhances academic efficiency across a wide range of educational institutions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： knowledge engineering

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Implementation of Zero knowledge Proof and smart Contract for E-Voting System on Polygon Blockchain

Implementation of Zero Knowledge Proof and Smart Contract fo...

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2025 international conference on Advancement in Data Science, E-learning and Information System, ICADEIS 2025

作者： Ahmad, Ichsan Nur Sukarno, Parman Wardana, Aulia Arif School of Computing Telkom University Bandung Indonesia

ISBN: (纸本)9798331513320

This research paper presents the development of an electronic voting system that utilizes blockchain technology and Zero knowledge Proof to enhance privacy and security during voting. Electronic voting systems have many issues regarding privacy, data integrity, and proper transparency, whereas traditional voting systems face the issue of being cost-effective. This research has solved the previously mentioned issues by using ZKP over the polygon network. Furthermore, ZKP, along with blockchain technology, helps in the decen-tralization, immutability, and transparency of the stored data while maintaining the confidentiality of the voter identity in the process of authentication and vote validation. Moreover, cryptographic verification is aided through role management and a user interface, which results in a quicker verification process than traditional methods. Using a polygon network as the medium for conducting tests has shown a low transaction cost of 0.010 POL to facilitate voting while providing substantial privacy. The approach presented in this research has significantly improved over traditional E-voting systems in terms of cost, security, and scalability, indicating that this approach is better suited for election processes today. © 2025 IEEE.

关键词： Voting machines

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1st international Workshop on the Design, Verification, and Validation of IoT Systems, GRAAL4IoT 2024 and 1st international Workshop on IoT Standards, STAND4IoT 2024, held in conjunction with 7th IFIP WG 5.5 international Cross-Domain conference on Internet of Things, IFIPIoT 2024

1st International Workshop on the Design, Verification, and ...

引用

ISBN: (纸本)9783031820649

The proceedings contain 8 papers. The special focus in this conference is on Design, Verification, and Validation of IoT Systems. The topics include: A Cyber-Physical Infrastructure for smart Energy Buildings;SINDIT: A Framework for knowledge Graph-Based Digital Twins in smart Manufacturing;Enhancing IoT Security in 6G Networks: AI-Based Intrusion Detection, Penetration Testing, and Blockchain-Based Trust Management (Work-in-Progress Paper);building Digital Twins from the Unseen: Leveraging Similar Workflows to Protect IoT-Equipped Infrastructures;threats to the IoT Device Production Processes – A Blind Spot in the Product Security Lifecycle;Empowering Real-Time IoT Applications: A Brief Review on Leveraging GPU Acceleration for Latency Reduction.

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2022 1st international conference on smart technology, Applied Informatics, and Engineering (APICS): About APICS

2022 1st International Conference on Smart Technology, Appli...

引用

smart technology, Applied Informatics, and Engineering (APICS), 2022 1st international conference on

ISBN: (数字)9781665489850

ISBN: (纸本)9781665489867

APICS - The international conference on smart technology, Applied Informatics, and Engineering is an international platform that brings together academics, researchers, engineers, professionals, students and industrial participants around the world to discuss and share knowledge about their research findings, innovative ideas, and experiences to advance the field of Information technology, Data Engineering, Artificial Intelligence, smart technology, Applied Informatics, and Advanced Engineering. APICS 2022 is a virtual conference which successfully held in Surakarta, Indonesia on 23-24 August 2022.

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Blockchain and smart Contract Creation for Efficient and Secure Data Storage of Consumer Habits and Logistics Data 6

Blockchain and Smart Contract Creation for Efficient and Sec...

引用

6th international conference on Industry 4.0 and smart Manufacturing, ISM 2024

作者： Bálint, Krisztian Keleti Károly Faculty of Business and Management Institute of Business Sciences and Digital Knowledge Obuda University Budapest1034 Hungary

The application of blockchain technology provides the opportunity to effectively coordinate the production process and logistics tasks. From the first step of creating individual products to the process of their storage, transportation, and placement on store shelves, every single step can be continuously monitored, thereby guaranteeing the appropriate quality. In the blockchain, data can be stored securely, unauthorized persons cannot modify the data, as it is a very complex task. As a result, the research aims to examine which blockchain technology is the most suitable for logistics and production processes, considering both efficiency and security aspects. By applying the smart contract, the third party can be excluded from the process, thereby increasing efficiency and security, while also reducing costs. As part of the practical implementation of the research, a blockchain that meets the conditions listed above will be created, and an Ethereum-based smart contract will also be written using the Solidity programming language. The research motivation is to create a blockchain and smart contract that are capable together of replacing centralized data storage while eliminating its security shortcomings. The purpose of creating the blockchain is to implement distributed Peer-to-Peer node-based data storage for logistics data in a decentralized environment. By creating a smart contract, blockchain-based data storage can become an automated process, making the server and system administrator redundant. The research aims to achieve the highest possible level of data storage security so that the data storage is performed automatically, thus reducing the tasks of the system administrator. The key point of this is the selection of the most optimal smart contract platform and the creation of the contract in which the data storage conditions can be defined. Through the practical application of the smart contract, some logistics processes are carried out automatically, there

关键词： smart contract

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smart Grid Data Security Sharing Based on Cloud-Edge Collaboration 5

Smart Grid Data Security Sharing Based on Cloud-Edge Collabo...

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5th IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： Liu, Jingzhi Liu, Zhidong Zhong, Xiancheng Yang, Shoulian Cao, Yang Yang, Hongyi State Grid Qinghai Electric Power Research Institute Xining Qinghai China State Grid Qinghai Electric Power Company Xining Qinghai China

ISBN: (纸本)9798331533694

In recent years, the rapid advancement of smart terminals and wireless networks has led to exponential growth in the number of powers of IoT devices and the volume of data. These data resources have become important assets for power enterprises, significantly enhancing the intelligent perception, internal control capabilities, and customer service efficiency of power grids. However, as a national critical infrastructure, electric power data is highly susceptible to cyberattacks, and if leaked, it can pose significant security risks and result in substantial economic losses. Therefore, power enterprises must strengthen data security protection and address security challenges in data exchange, sharing, and mining. This paper proposes a cloud-edge collaborative smart grid data security sharing scheme, which combines zero-knowledge proof technology and a secret sharing scheme to achieve fine-grained access control and privacy protection for user requests. For authenticated legitimate users, a homomorphic encryption algorithm is used to enable secure queries of specific data in the database. Finally, simulation results demonstrate the effectiveness of the distributed data access authentication and secure query scheme proposed in this paper. © 2025 IEEE.

关键词： Data sharing fine-grained access control privacy protection

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Toward an Analysis of Production Trends of Petrochemical Enterprises 16th

Toward an Analysis of Production Trends of Petrochemical Ent...

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16th international conference on Application of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools, ICAFS 2023

作者： Suleymanov, G.S. Ismayilov, B.V. T.A.Sheydai Azerbaijan State Oil and İndustrial University Azadlıg Avenue 20 BakuAZ1010 Azerbaijan

ISBN: (纸本)9783031725050

The management organization of the modern industrial complex, especially the petrochemical enterprise, is based on a specific field of knowledge and practical methodology widely applied in various fields of production and economic activity. At the same time, the application of principles, technologies, and methods of production organization using tools and methodological approaches to management during the fourth industrial revolution requires fundamental changes in the organization of business processes of petrochemical enterprises. This necessity becomes more urgent in the era of Industry 4.0 and the development of the digital economy, which requires the development and implementation of new approaches to smart enterprise management in the digital economy based on digital competencies. For this purpose, the article examines the economic mechanisms of applying new approaches to the management of a smart petrochemical enterprise based on digital technologies. Algorithms of transformation models based on these economic mechanisms have been developed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： algorithm digitization model petrochemical industry smart technology

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