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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511-520 订阅

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Are my Answers Medically Accurate? Answers Reliability Regarding Questions over Healthcare knowledge Graphs 21

Are my Answers Medically Accurate? Answers Reliability Regar...

引用

2024 IEEE/ACS 21st international conference on Computer systems and Applications, AICCSA 2024

作者： Baazouzi, Wiem Kachroudi, Marouen Faiz, Sami National School of Computer Science University of Manouba RIADI Laboratory Manouba2010 Tunisia ESPRIT School of Engineering El Ghazala2080 Tunisia Université de Tunis El Manar Faculté des Sciences de Tunis Informatique Programmation Algorithmique et Heuristique LR11ES14 Tunis2092 Tunisia Université de Tunis El Manar Ecole Nationale d'Ingénieurs de Tunis Laboratoire de Teledetection et Systemes d'Information A Reference Spatiale 99/UR/11-11 Tunis2092 Tunisia

ISBN: (纸本)9798331518240

In recent years, there has been a growing interest in the digitalization of medical records and health data. This makes it possible to build sophisticated systems that facilitate rapid data retrieval, processing and analysis. An example of such systems is Question-Answer ones. It can help domain experts efficiently retrieve the required data by asking questions in natural language. Question-Answering systems based on knowledge Graphs have found applications in various fields. Our work aims to build a question-Answering chatbot for electronic medical records. Thus, healthcare professionals can ask questions in natural language, and the chatbot will iteratively build and execute appropriate SPARQL queries over a given knowledge Graph containing digital medical records to return relevant data. © 2024 IEEE.

关键词： Electronic health record

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Key technologies for engine measurement and geometric modelling integrated machine 2

Key technologies for engine measurement and geometric modell...

引用

2nd international conference on Advanced manufacturing Technology and manufacturing systems, ICAMTMS 2023

作者： Zhang, Qi Fan, Hongli Li, Erbo Su, Taiyu Zhang, Zhijing Chen, Xiao School of Mechanical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9781510667327

In mechanical equipment development and production, manufacturing errors and their distribution are one of the key factors affecting product performance and quality, due to the effect is more evident in the field of engine production, so it is a large demand to develop the instrument of measuring and modelling distribution error of assembly contact surfaces. In this paper, for the main engine parts of the rotary class features, a new measuring and modelling integrated technology is invented, using CMM calibration and compensation algorithm, rapid measurement, and in the machine to measure the point cloud NURBUS surface reconstruction modelling, rapid access to the part surface morphological features. The integration of measurement and modelling reduces the transmission of data, and by processing and modelling simulation of measurement data on the machine, it can provide effective data support and theoretical support for the optimization of assembly process and product performance. © 2023 SPIE.

关键词： Engines

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Towards Developing an Ontology for a Digital Twin in Battery Testing 16

Towards Developing an Ontology for a Digital Twin in Battery...

引用

16th international conference on knowledge engineering and Ontology Development, KEOD 2024 as part of 16th international Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2024

作者： Marques, Nuno Rodrigues, Marco Himanshu, Mannin Gandoman, Foad INEGI Institute of Science and Innovation in Mechanical and Industrial Engineering Porto Portugal RSTER - Reliability & Safety Technical Centre Brussels Belgium

ISBN: (纸本)9789897587160

Ontologies are of great importance in organizing and structuring domain knowledge towards interoperability and data integration in various fields, as provide a standarised vocabulary and a formal representation of relationships between concepts, which is essential for advancing data-driven applications. This paper presents the development of an OWL (Web Ontology Language) ontology for the battery testing field, creating the foundations for the development of a Digital Twin that will virtualize tests to be performed on battery cells and modules. It emphasizes the significance of the battery domain characterization and ontology definition as critical components in developing an effective Digital Twin for battery testing. An investigation of prior studies available in the literature was conducted, highlighting examples of ontologies such as SSN (Semantic Sensor Network) and SOSA (Sensor, Observation, Sample, and Actuator), which targets integration into the digital twin environments to enhance sensor data management and interoperability. The research also found hybrid ontologies, combining elements from existing ones and battery-specific Digital Twin architectures. The developed ontology was validated through a practical use-case by integration with cloud platform Microsoft Azure Digital Twins, converting the ontology from OWL to DTDL (Digital Twins Definition Language). This step completes the cycle as the proposed framework aims to create a robust and scalable Digital Twin environment that can be adapted to various battery testing scenarios, providing actionable insights from tests. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Information management

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Improved Fault Diagnosis Method for PLC-Based manufacturing Processes with Validation through a Cyber-Physical System 4

Improved Fault Diagnosis Method for PLC-Based Manufacturing ...

引用

4th IEEE international conference on Electronic Communications, Internet of Things and Big data, ICEIB 2024

作者： Huang, Kuan-Chun Ku, Hung-Ching Chuang, Tzu-Hsuan Huang, Wei-Nung Chung Yuan Christian University Department of Industrial and Systems Engineering Taoyuan Taiwan Ecole de Technologie Supérieure Department of Mechanical Engineering Quebec Canada

ISBN: (纸本)9798350360721

Most manufacturing systems in the industry nowadays are controlled by Programmable Logic Controllers (PLCs), which are characterized by their high robustness and low cost. The systems controlled by PLCs are typically described as Discrete Event systems (DESs), and it is often difficult to detect faults and behavioral abnormalities related to the PLC process. Researchers proposed an automated tool called fault and behavior monitoring tool for PLC (FBMTP) whose main advantage is its ability to effectively handle inaccuracies with large-scale PLC-controlled manufacturing systems. Although FBMTP effectively addresses the issues in PLC-controlled systems, only the Boolean I/O signals (1/0) intercepted from the memory area of the PLC are examined. However, PLC I/O often involves analog signals, which are real values. Therefore, we introduced a new parameter to increase the diversity of this mechanism, an improved fault and behavior monitoring tool for PLC (IFBMTP). Cyber-Physical System (CPS) technology is applied across various fields. In the manufacturing sector, it is used for real-time monitoring, production control, and information sharing, enhancing the flexibility of manufacturing systems. Moreover, CPS is practical for simulating and testing different fault detection models, such as IFBMTP, given the limited availability of large-scale equipment for testing in industries. Presently, many software platforms focus primarily on animation or integer computations but cannot accurately reflect physical analog data, making integration among multiple technologies challenging. Automation Studio, developed by Famic Technologies Inc., stands out for its rapid modeling, multi-technology integration, and application in virtual commissioning. We leveraged Automation Studio as the development platform to create an integrated CPS and validated the robustness of IFBMTP under various scenarios for debugging and testing. Such integration of multiple technological virtual systems is

关键词： Failure analysis

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Design of IIoT Production data Acquisition and Control Based on MQTT Protocol 4

Design of IIoT Production Data Acquisition and Control Based...

引用

4th international conference on Electronic Information engineering and Computer Science, EIECS 2024

作者： Wang, Junqiang Yang, Shuqiang Liu, Yike Wang, Bo School of Physics and Electronic Information Luoyang Normal University Luoyang China School of Information and Control Engineering China University of Mining and Technology Xuzhou China School of Electronic Commerce Luoyang Normal University Luoyang China

ISBN: (纸本)9798331531409

Due to the complexity of industrial site environments and the instability of networks, establishing a data exchange mode with high quality and low bandwidth requirements between on-site devices and the cloud has always been a technical challenge in smart manufacturing. This design employs the Message Queuing Telemetry Transport (MQTT) protocol, which is lightweight, highly configurable, and widely applicable, to construct an industrial Internet of Things (IoT) data acquisition and control system based on MQTT. This system enables structured data exchange between the cloud and industrial sites, remote monitoring of device status, and user service subscription, while also conducting performance tests on the MQTT protocol within industrial IoT systems. © 2024 IEEE.

关键词： Smart manufacturing

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Benchmarking the Ability of Large Language Models to Reason About Event Sets 16

Benchmarking the Ability of Large Language Models to Reason ...

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作者： Kenneweg, Svenja Deigmöller, Jörg Cimiano, Philipp Eggert, Julian Bielefeld University Germany Honda Research Institute Europe Germany

ISBN: (纸本)9789897587160

The ability to reason about events and their temporal relations is a key aspect in Natural Language Understanding. In this paper, we investigate the ability of Large Language Models to resolve temporal references with respect to longer event sets. Given that events rarely occur in isolation, it is crucial to determine the extent to which Large Language Models can reason about longer sets of events. Towards this goal, we introduce a novel synthetic benchmark dataset comprising of 2,200 questions to test the abilities of LLMs to reason about events using a Question Answering task as proxy. We compare the performance of 4 state of the art LLMs on the benchmark, analyzing their performance in dependence of the length of the event set considered as well as of the explicitness of the temporal reference. Our results show that, while the benchmarked LLMs can answer questions over event sets with a handful of events and explicit temporal references successfully, performance clearly deteriorates with larger event set length and when temporal references get less explicit. The Benchmark is available at https://***/***/bamer. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Spatio-temporal data

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AI-driven Detection of PCOS for Personalized Health Improvement

AI-driven Detection of PCOS for Personalized Health Improvem...

引用

2024 international conference on knowledge engineering and Communication systems, ICKECS 2024

作者： Khanwalkar, Preeti Preethi, M. Divya, K. Keerthana, K.R. Dayananda Sagar College of Engineering Dept of Electronics and Telecommunication Engineering Bangalore India Dayananda Sagar College of Engineering Dept. of Electronics & Telecommunication Bangalore India

ISBN: (纸本)9798350359688

Polycystic Ovary Syndrome (PCOS) is a crucial hormonal disorder globally affecting women with several other health issues such as acne, weight gain, infertility, etc., and thus emphasizes the need for early and accurate diagnosis and personalized health care. In this work we use the Convolutional Neural Networks, which extract features from ultrasonic images, bringing up an efficient way to categorize and understand PCOS. Beyond detection, the proposed approach integrates individual clinical data with PCOS ultrasounds, enabling personalized interventions with tailored health tips and dietary recommendations. The findings highlight the system's reliability and efficiency, marking a significant advancement in PCOS understanding and management. The integrated Personalized Health Improvement Recommendation offers tailored health plans, exercise recommendations, and dietary plans, with follow-up routines enhancing continuous monitoring. The simulation results indicate 96% accuracy in PCOS detection. This dynamic approach is a boon to health management by giving recommendations with individual preferences and clinical data thus encouraging user interest and better health-care management. © 2024 IEEE.

关键词： Electronic health record

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60 GHz Compact Microstrip Antenna Design with Inset-Fed Technique for Millimetre-Wave Applications 1

60 GHz Compact Microstrip Antenna Design with Inset-Fed Tech...

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1st international conference on Intelligent systems and Computational Networks, ICISCN 2025

作者： Badrinathan, B. Anitha, G. Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Automation and Robotics Engineering Chennai India Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Chennai India

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529246

Millimeter-wave (mmWave) frequencies play a critical role in next-generation communication systems by supporting high-speed data transfer and improved bandwidth utilization. This study focuses on developing a compact 60 GHz microstrip patch antenna using an inset-fed technique with a gallium arsenide (GaAs) substrate. The methodology integrates precision micromachining and electromagnetic simulations conducted with Ansys HFSS 2021. Key results include a return loss of -50.18 dB, a gain of 4.8 dBi, and a VSWR of 1.585, demonstrating efficient signal transmission and excellent impedance matching. The antenna's small footprint of 1.8 mm × 1.2 mm ensures its suitability for telecommunications, radar systems, and other mmWave technologies applications. By effectively addressing bandwidth and signal attenuation challenges, the optimized design highlights significant advancements in performance and scalability. The study concludes with insights into the potential for cost-effective manufacturing, marking a step forward in mmWave antenna technology. © 2025 IEEE.

关键词： Gallium arsenide

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Securing Drones with Blockchain-Enabled Privacy-Preserving Authentication

Securing Drones with Blockchain-Enabled Privacy-Preserving A...

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2024 international conference on knowledge engineering and Communication systems, ICKECS 2024

作者： Saroopa, P. Poongodi, K. Saranya, V. Subaash, S. K. S. Rangasamy College of Technology Computer Science and Engineering Tiruchengode637 215 India

ISBN: (纸本)9798350359688

The proliferation of drones in various industries has raised concerns about the security and privacy of their operations. To address these concerns, this paper proposes a novel approach for securing drones through blockchain-enabled privacypreserving authentication. Traditional authentication methods often suffer from vulnerabilities and lack adequate privacy protection mechanisms. In contrast, blockchain technology offers a decentralized and immutable ledger that can enhance the security and privacy of drone authentication systems. In our proposed approach, each drone is equipped with a unique digital identity stored on a blockchain network. Authentication requests are processed through smart contracts, ensuring tamper-resistant verification while preserving the privacy of drone operators and their sensitive data. By leveraging blockchain's cryptographic techniques and decentralized consensus mechanisms, our solution establishes a secure and transparent authentication framework for drones without compromising privacy. Furthermore, our approach enhances the resilience of drone networks against unauthorized access and malicious attacks. The decentralized nature of blockchain prevents single points of failure and mitigates the risk of data breaches or system compromises. Additionally, the immutability of blockchain transactions provides a reliable audit trail, enabling efficient traceability and accountability in drone operations. © 2024 IEEE.

关键词： Differential privacy

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Process Industry System Modeling Based on Time Series Imputation: A Case Study of Paste Thickener

Process Industry System Modeling Based on Time Series Imputa...

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2024 international conference on Automation in manufacturing, Transportation and Logistics, ICaMaL 2024

作者： Li, Xiaorui Ban, Xiaojuan Shao, Yizhou Chen, Haowei Yao, Chao Yuan, Zhaolin Liu, Guangsheng Guo, Lijie Institute of Artificial Intelligence University of Science and Technology Beijing Beijing China School of Artificial Intelligence Hebei University of Technology Beijing China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Hong Kong Polytechnic University Department of Industrial and Systems Engineering Hong Kong Hong Kong BGRIMM Technology Group Beijing China

ISBN: (纸本)9798350378658

In process CPS systems, highly accurate modeling of the production system is essential for optimal control, fault diagnosis, and flexible manufacturing. Traditional data-driven modeling of industrial processes focuses on predicting future trends based on variable periodicity and trends, often neglecting the impact of control variables. This paper proposes a new approach to improve CPS accuracy, particularly for systems heavily influenced by controlled variables. Firstly, CPS modeling is redefined as a time series imputation problem, introducing exogenous variables via a sequence modeling algorithm based on a state space model to enhance forecasting accuracy. Secondly, sequence inputs are encoded in patches, improving the model's ability to process local sequence information. The proposed method is evaluated on a real deep cone thickener underflow concentration forecasting task and compared with state-of-The-Art time series forecasting methods, demonstrating superior performance. This study not only provides a more accurate model for CPS but also offers a framework for integrating control variables into predictive modeling. © 2024 IEEE.

关键词： Flexible manufacturing systems

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