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检索条件"任意字段=International Conference on Data and Knowledge Systems for Manufacturing and Engineering"

共 37040 条记录，以下是431-440 订阅

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The Future of Wire Arc Additive manufacturing Comprehensive Strategies for Improved Close Loop Monitoring and Control

The Future of Wire Arc Additive Manufacturing Comprehensive ...

引用

2024 OPJU international Technology conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Nijhawan, Ginni Lalitha, G. Asha, V. Suresh, V.J. Praveen Abdulzahraa, Zahraa H. Lovely Professional University Phagwara India Institute of Aeronautical Engineering Hyderabad Dundigal India New Horizon College of Engineering Department of Computer Applications Bangalore India St. Martin's Engineering College Dept. of Cse Telangana Secunderabad India Lloyd Institute of Engineering & Technology Knowledge Park II Uttar Pradesh Greater Noida201306 India National University of Science and Technology College of Health and Medical Technology Dhi Qar64001 Iraq

ISBN: (纸本)9798350373783

This article describes a series of approaches that improve wire are additive manufacturing (WAAM) for manufacturing many metal items. ATM, MCA 2, ALTC 2, and RSM are the five techniques in the framework. Ablation research examined each approach and how they work together to improve WAAM accuracy, distortion, and material compatibility. The thorough performance comparison, including photographs, indicates that WAAM is better in deposition rate, surface quality, clarity, material diversity, cost-effectiveness, and scalability. The integrated framework enables dynamic modifications, tracking, and iterative improvements. This makes WAAM the optimal additive manufacturing process for many applications. The data indicates how significant each strategy is and how they work together to improve WAAM. This study illuminates sophisticated additive manufacturing technologies and indicates that WAAM is a feasible and flexible alternative to large metal component manufacturing. © 2024 IEEE.

关键词： Wire

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Industrial Internet of Things Algorithms for Fire Safety System Control

Industrial Internet of Things Algorithms for Fire Safety Sys...

引用

2024 international conference on Industrial engineering, Applications and manufacturing, ICIEAM 2024

作者： Krutskikh, V.V. Ushkov, A.N. Trofimov, A.Yu. Chukashov, D.S. Moscow Polytechnic University Moscow Russia National Research University 'Moscow Power Engineering Institute' Moscow Russia

ISBN: (纸本)9798350395013

The development of modern industrial systems and their protection against emergencies are currently associated with the integration of digital radio-electronic control modules for the statuses of processes and devices that implement production process automation and their independent operation. Using wireless networks for communications between the device and cloud platforms to perform rapid data processing helps improve the reliability of industrial complexes and system security by scanning the devices and assessing their parameters in real-time. Thus, the use of the Internet of Things units for the cloud control of devices in human life safety systems can minimize the impact of human errors during emergencies and send prompt emergency alarms to safety system modules. This paper reviews the possibilities of using wireless and cloud technology to solve control and monitoring problems for fire safety equipment in smart city systems and the industrial Internet of Things. The authors analyzed the key application areas of algorithms and loT systems to achieve life safety goals. The authors developed an loT device to control the status of fire detectors. The smart module scanning the statuses of fire safety probes is based on the K1986VE91 T controlled operating on a cortex-m3 kernel. Cloud data processing and monitoring were implemented with an MQTT server. The experimental data obtained from a laboratory setup confirmed the efficiency of the suggested algorithms and the possibility of integration with the existing fire safety systems. © 2024 IEEE.

关键词： Internet of things

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Joint Coverage and Latency for data-intensive Application Deployment in Mobile Edge Computing Environment 36

Joint Coverage and Latency for Data-intensive Application De...

引用

36th international conference on Software engineering and knowledge engineering, SEKE 2024

作者： Gu, Yubiao Wang, Yaping Zhang, Zhaohui Wang, Pengwei School of Computer Science and Technology Donghua University China

ISBN: (纸本)1891706594

Mobile edge computing (MEC) is an emerging computing paradigm where application vendors deploy applications at the edge of the network by configuring computing and storage resources, to achieve low latency, high bandwidth, and exceptional user experience. However, end-users are extremely sensitive to the response latency of data-intensive applications, which is one of the main challenges in MEC. Therefore, application vendors must ensure that data-intensive applications deployed on edge servers have the lowest possible response latency, thereby maximizing the total Quality of Experience (QoE) for end-users. To address this challenge, this paper jointly considers user coverage and response latency as QoE, aiming to obtain application deployment strategy within the constraints of deployment budget, while maximizing the total QoE. We propose the data-Intensive Application Deployment (DIAD) problem and model it as a constrained optimization problem. By taking QoE into account, a greedy heuristic strategy (DIAD-G) is proposed to effectively tackle the DIAD problem. Extensive experimental evaluations are conducted on real-world datasets, comparing DIAD-G with five representative methods. The experimental results demonstrate the effectiveness of this method, with total QoE for end-users significantly surpassing other methods and achieving the best performance. © 2024 knowledge systems Institute Graduate School. All rights reserved.

关键词： Mobile edge computing

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Industrial Internet of Things for Assembly Line Worker’s Work Fatigue Recognition 9

Industrial Internet of Things for Assembly Line Worker’s Wo...

引用

9th international conference on Internet of Things, Big data and Security, IoTBDS 2024

作者： Pabolu, Venkata Krishna Rao Shrivastava, Divya Kulkarni, Makarand S. Department of Mechanical Engineering Shiv Nadar University UP 201314 India Department of Mechanical Engineering Indian Institute of Technology Bombay India

ISBN: (纸本)9789897586996

The fourth industrial revolution or Industry 4.0 is based on the Internet of Things (IoT) and other intelligent technologies. IoT is mature enough to make seamless real-time communication between data-grasping sensors and intelligent machines. Recognition and prevention of workers' work fatigue remain challenging for manufacturing industries. The objective of this research is to develop an IoT-based worker’s work fatigue recognition system to recognize the real-time fatigue status of assembly line workers. A learning-based knowledge model is prepared from the historical worker’s work fatigue status to classify the worker’s work fatigue status (as ‘Yes’ or ‘No’) using the real-time monitoring system. Where a sensor-connected IoT framework is adopted for monitoring the real-time state of an assembly worker. Finally, an intelligent system is proposed to recognize the real-time worker’s fatigue status from the IoT real-time monitored data using the learning-based worker’s work fatigue recognition model. A use-case illustration is given to demonstrate the research scope for a manual assembly line. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Machine learning

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A Novel Approach to Ontological View-Based Semantic Mapping in Decentralized Environments 15

A Novel Approach to Ontological View-Based Semantic Mapping ...

引用

15th international conference on knowledge engineering and Ontology Development, KEOD 2023 as part of the 15th international Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2023

作者： Ali Adhnouss, Fateh Mohamed Ali El-Asfour, Husam M. McIsaac, Kenneth Dept. of Electrical & Computer Engineering University of Western London Canada

ISBN: (纸本)9789897586712

Semantic integration and interoperability are vital for effective communication and data exchange in information systems. This paper explores the significance of shared referential semantics, ontological views (OVs), and intensional semantics in achieving semantic integration. It addresses the challenges arising from divergent OVs and emphasizes the role of accessibility relations in bridging gaps between different systems. The paper presents theorems establishing relationships between accessibility relations, the overlap of non-logical symbols, and the consistency and accessibility of OVs. It also examines mapping possibilities in decentralized environments by considering scenarios with shared intended models, overlapping intended models, or no intersection of intended models. The paper uses the healthcare domain as an illustrative example of applying intensional semantics and semantic interoperability. To ensure efficient semantic integration and interoperability, systems must consider the shared meaning of the vocabulary, particularly non-logical symbols, along with the underlying conceptualizations and intensional semantics. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0).

关键词： Electronic data interchange

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Configuring and Validating Multi-aspect Risk knowledge for Industry 4.0 Information systems 36th

Configuring and Validating Multi-aspect Risk Knowledge for I...

引用

36th international conference on Advanced Information systems engineering (CAiSE)

作者： Biffl, Stefan Kropatschek, Sebastian Meixner, Kristof Hoffmann, David Luder, Arndt Tech Univ Wien Inst Informat Syst Engn Vienna Austria Tech Univ Wien CDL SQI Vienna Austria Austrian Ctr Digital Prod Vienna Austria Otto von Guericke Univ Inst Factory Automat Magdeburg Germany

ISBN: (纸本)9783031610561;9783031610578

Industry 4.0 information systems support production stakeholders in configuring and debugging increasingly flexible Cyber-Physical Production systems (CPPSs), such as automated car plants. A Failure Mode and Effects Analysis (FMEA) aims at mitigating production risks by analyzing the main causes of risks in production, such as defective products. However, a FMEA provides limited guidance on (i) validating risk knowledge and (ii) reducing risk knowledge complexity regarding CPPS engineering artifacts. This paper introduces the Multi-aspect FMEA Configuration Management (MFCM) approach (i) to design and validate a multi-aspect CPPS risk knowledge graph and (ii) to focus on required graph parts, adapting conditioned backward program slicing. This small graph serves as a foundation for answering stakeholder questions on production risks and causes with data from validated sources. We evaluated MFCM in a feasibility study on a real-world welding line. Results indicate that MFCM is effective for production process slicing of multi-aspect risk knowledge required to analyze a production condition.

关键词： Industry 4.0 cyber-physical production system engineering configuration management DIN 60812 multi-aspect IS engineering

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manufacturing Commonsense knowledge 6th

Manufacturing Commonsense Knowledge

引用

6th international conference on knowledge Graphs and Semantic Web, KGSWC 2024

作者： Naqvi, Muhammad Raza Sarkar, Arkopaul Ameri, Farhad Elmhadhbi, Linda Karray, Mohamed Hedi 47 Av. d’Azereix Tarbes65000 France School of Manufacturing Systems and Networks Ira A. Fulton Schools of Engineering Arizona State University W MesaAZ85212 United States INSA Lyon Université Lumière Lyon 2 Université Claude Bernard Lyon 1 Université Jean Monnet Saint-Etienne DISP UR4570 Villeurbanne69621 France

ISBN: (纸本)9783031812200

This paper underscores the critical role of integrating common knowledge across the manufacturing industry by introducing and formalizing a new concept called manufacturing Commonsense knowledge (MCSK). Although commonsense knowledge is crucial for enhancing AI-driven operational intelligence and decision-making, its structured application within the broader manufacturing sector has been insufficient. To bridge this gap, we present a structured methodology for translating MCSK into first-order logic (FOL), employing standard ontological frameworks such as the Basic Formal Ontology (BFO), Industrial Ontologies Foundry (IOF), Relations Ontology (RO), and Machine Services Description Language (MSDL). This translation process is pivotal, whether the underlying AI systems employ symbolic, sub-symbolic, or hybrid approaches, as it transforms intuitive MCSK into organized semantic rules. Our findings demonstrate that structured MCSK patterns enhance knowledge representation’s clarity and utility and significantly improve the explanatory capabilities of AI decision-making processes across the industry. The broader impacts of our research extend to enhancing machine interoperability, predictive analytics, and advanced manufacturing practices, thus paving the way for a more informed and efficient industrial future. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： knowledge representation

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Multilayer Networks: For Modeling and Analysis of Big data 16

Multilayer Networks: For Modeling and Analysis of Big Data

引用

16th international conference on knowledge Discovery and Information Retrieval, KDIR 2024 as part of 16th international Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2024

作者： Santra, Abhishek Billah, Hafsa Chakravarthy, Sharma Information Technology Lab. CSE Department University of Texas ArlingtonTX United States

ISBN: (纸本)9789897587160

In this position paper, we make a case for the appropriateness, utility, and effectiveness of graph models for big data analysis focusing on Multilayer Networks (or MLNs) – a specific type of graph. MLNs have been shown to be more appropriate for modeling complex data compared to their traditional counterparts. MLNs have also been shown to be useful for diverse data types, such as videos and information integration. Further, MLNs have been shown to be flexible for computing analysis objectives from diverse application domains using extant and new algorithms. There is research for automating the modeling of MLNs using widely used EER (Enhanced/Extended Entity Relationship) or Unified Modeling Language (UML) approaches. We start by discussing different graph models and their benefits and limitations. We demonstrate how MLNs can be effectively used to model applications with complex data. We also summarize the work on the use of EER models to generate MLNs in a principled manner. We elaborate on analysis alternatives provided by MLNs and their ability to match analysis needs. We show the use of MLNs for - i) traditional data analysis, ii) video content analysis, iii) complex data analysis, and iv) propose the use of MLNs for information integration or fusion. We show examples drawn from the literature of their modeling and analysis usage. We conclude that graphs, specifically MLNs provide a rich alternative to model and analyze big data. Of course, this certainly does not preclude newer data models that are likely to come along. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： data consistency

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Establishing the Relationship Between Key Performance Indicators in Automated Customer Support Services and the Factors that Drive Customer Satisfaction

Establishing the Relationship Between Key Performance Indica...

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2024 IEEE international conference on Industrial engineering and engineering Management, IEEM 2024

作者： Tee, M.L. Li, R.C. Industrial and Systems Engineering Department De La Salle University Manila Philippines

ISBN: (纸本)9798350386097

Due to the rapid development in automations, there is a growing need to improve automated customer support services (ACSS) in its performance to meet customer expectations and satisfactions. However, current objective performance measurements relevant to customer satisfaction are lacking and contradicting when considered with other target measurements in existing ACSS implementation frameworks to provide quantitatively accurate performance assessments of these platforms. The research aims to identify and align the key performance indicators (KPIs) of ACSS through literature review to achieve objective methods of performance measurement. To validate the framework, an ACSS prototype is developed, and data is collected for the KPIs. It is identified that the strong and weak ACSS factors in relation to customer satisfaction are data privacy protection, customer care, customer knowledge, sales and marketing tracking systems, information aggregation, AI training, and knowledge management. Further studies are to provide new measurements and explore the relationships with customer loyalty. © 2024 IEEE.

关键词： Sales

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Application of AutomationML/OPC UA in robot i nteroperability 5

Application of AutomationML/OPC UA in robot i nteroperabilit...

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5th international conference on Artificial Intelligence and Computer engineering

作者： Chang, Siyuan Zhang, Hualiang Shenyang Univ Technol Inst Software Engn Shenyang Peoples R China

ISBN: (纸本)9798331528911;9798331528928

This paper focuses on the application of AutomationML (AML) and Open Platform Communications Unified Architecture (OPC UA) in robot interoperability, aiming to promote the intelligence and interoperability of production systems in the era of Industry 4.0. By analyzing the current challenges of industrial robot interoperability, especially in terms of data standardization, a robot system architecture is proposed to improve the compatibility and information exchange efficiency between different types of robots. Research methods include system architecture design, integration of AML and OPCUA methods, and their empirical application in real-world manufacturing environments. The results confirm the feasibility and practicability of the method in the application of industrial robots, and give different devices higher interoperability and flexible response ability. It provides a theoretical basis and practical guidance for the development of intelligent manufacturing systems in the future, and has important practical significance and application value in improving the level of industrial digitalization and intelligence.

关键词： AML robots interoperability OPC UA data exchange

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