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检索条件"任意字段=International Conference on Process Automation, Control and Computing"

共 28200 条记录，以下是51-60 订阅

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Skill Learning Using process Mining for Large Language Model Plan Generation

Skill Learning Using Process Mining for Large Language Mode...

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international Workshops which were held in conjunction with the 6th international conference on process Mining, ICPM 2024

作者： Redis, Andrei Cosmin Sani, Mohammadreza Fani Zarrin, Bahram Burattin, Andrea Technical University of Denmark Lyngby Denmark Microsoft Development Center Copenhagen Lyngby Denmark

ISBN: (纸本)9783031822247

Large language models (LLMs) hold promise for generating plans for complex tasks, but their effectiveness is limited by sequential execution, lack of control flow models, and difficulties in skill retrieval. Addressing these issues is crucial for improving the efficiency and interpretability of plan generation as LLMs become more central to automation and decision-making. We introduce a novel approach to skill learning in LLMs by integrating process mining techniques, leveraging process discovery for skill acquisition, process models for skill storage, and conformance checking for skill retrieval. Our methods enhance text-based plan generation by enabling flexible skill discovery, parallel execution, and improved interpretability. Experimental results suggest the effectiveness of our approach, with our skill retrieval method surpassing state-of-the-art accuracy baselines under specific conditions. © The Author(s) 2025.

关键词： Contrastive Learning

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Enhancing Industrial automation Through IIoT-Enabled Cloud computing and LSTM for Scalable and Real-Time Data Analytics 3

Enhancing Industrial Automation Through IIoT-Enabled Cloud C...

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3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Shanmugapriya, S. Prasad, Rajendra Al-Farouni, Mohhammed H. Velmurugan, R. Singh, K. Ranjith Selvin Pradeep Kumar, S. Srm Institute of Science and Technology Department of Electrical and Electronics Engineering Chengalpattu India School of Agriculture Uttaranchal University Dehradun India College of technical engineering The Islamic University Department of Computer Techniques Engineering Najaf Iraq Karpagam Academy of Higher Education Coimbatore India Karpagam Academy of Higher Education Department of Computer Science Coimbatore India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India

ISBN: (纸本)9798331542375

In this thesis, we investigate the combined application of the Industrial Internet of Things (IIoT), cloud computing and Long Short-Term Memory (LSTM) networks to facilitate advanced industrial automation through the industrial analytics enabled by scalable and real time data processing. IIoT is an industrial approach to generating very large amounts of data from connected industrial devices that can be parsed through cloud computing to yield immediate insights into production processes, equipment health, and operational efficiency. Since this is a time series data, we employ LSTM (A type of recurrent neural network) in this architecture which is able to handle time series data well and is a good fit for predictive maintenance and anomaly detection problems in industrial setting. The proposed system involves three main components: Second, the IoT collection of data from IIoT devices, storage of data in the cloud, and processing of data are stored in the cloud;and finally, real time analysis of data using LSTM models. The LSTM models train on historical datasets containing sensor readings and machine logs, to make accurate equipment failure and process optimization predictions. For large scale data processing we use cloud computing platforms like AWS or Azure to manage where these big databases are located. Evaluation of the system performance is presented in the study with regard to prediction accuracy, latency and a comparison of LSTM with other ML techniques. We can see that that there's strong potential for these technologies to have a powerful impact on industrial automation, downtime, and operational efficiency. Yet, there are still data security and system scalability issues to explore. This research shows that IIoT implants and cloud computing, in conjunction with LSTM, can be designed to transform existing production processes. © 2025 IEEE.

关键词： Long short-term memory

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Facial Recognition and Manual Verification automation Device for polling booths (DigiVoter) 12th

Facial Recognition and Manual Verification Automation Device...

引用

12th international conference on Recent Trends in computing, ICRTC 2024

作者： Sudhakaran, Pradeep Rekha, V. Sindhu, V. Preetha, M. Deluxni, N. Department of Computing Technologies School of Computing SRM Institute of Science and Technology Tamil Nadu Kattankulathur India Agurchand Manmull Jain College Tamil Nadu Chennai India Department of Information Technology Sri Krishna College of Engineering and Technology Tamilnadu Coimbatore India Career Development Centre SRM Institute of Science and Technology Tamil Nadu Kattankulathur India

ISBN: (纸本)9789819789450

In democratic societies, the efficiency and integrity of the voting process are paramount. The DigiVoter system presents an innovative approach to addressing the longstanding challenges of voter verification at polling booths, which have been identified as significant barriers to voter turnout and operational efficiency. By integrating facial recognition technology powered by OpenCV with a blockchain-based data storage solution, DigiVoter aims to automate and secure the voter verification process, thereby reducing queue times from the current average of 7 min to under 2 min. This paper explores the development and implementation of DigiVoter, emphasizing its potential to streamline the electoral process, enhance data security, and increase voter participation. The use of OpenCV allows for accurate and swift voter identification, while the blockchain component ensures the integrity and immutability of voting records, addressing concerns about data tampering and privacy. Preliminary results indicate that DigiVoter can significantly improve the voting experience, suggesting a promising avenue for leveraging technology to support democratic engagement. Through this exploration, the paper highlights the critical role of innovative technologies in overcoming obstacles to voting, with the ultimate goal of fostering a more inclusive and efficient electoral system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Blockchain

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Enhancing Cross-Domain Access Efficiency in Zero-Trust Scenarios Oriented to the Access process

Enhancing Cross-Domain Access Efficiency in Zero-Trust Scena...

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Electrical automation and Artificial Intelligence (ICEAAI), international conference on

作者： Xian Li Shijun Zhang Jing Zeng Shuo Li Ruxia Yang State Grid Jibei Information & Telecommunication Company State Grid Beijing China State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology China Electric Power Research Institute Nanjing China

ISBN: (数字)9798331506797

ISBN: (纸本)9798331506803

During cross-domain access, both communication ends need zero-trust evaluation by the trust assessment node and policy matching for permission. Nodes handling these may face concurrent computing and policy search tasks that need to be performed. We propose a new method to enhance security and efficiency. By introducing a trust hash value from access-end features and optimizing the policy tree, along with a better trust calc method, experiments show improved cross-domain access efficiency and accuracy, offering a new view for power grid services.

关键词： Concurrent computing Accuracy automation Power system dynamics Decision making process control Authentication Power grids Zero Trust Faces

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Peer-to-Peer Integrated Smart Gardening automation Using Cloud Technology with Real-Time Environmental Monitoring and Logging via Blynk Cloud Dashboard

Peer-to-Peer Integrated Smart Gardening Automation Using Clo...

引用

2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Malik, Praveen Kumar Bharti, Veena Misra, Neeti Yamsani, Nagendar Mahajan, Anshul Singh, Parulpreet School of Electronics and Electrical Engineering Lovely Professional University Punjab Phagwara India Raj Kumar Goel Institute of Technology Ghaziabad India Uttaranchal Institute of Management Uttaranchal University Department of Management Uttarakhand Dehradun India School of Computer Science and Artificial Intelligence Sr University Warangal India

ISBN: (纸本)9798331527495

The authors of this article discuss the holistic method of automation of gardening operations based on IoT technology that allows real time environmental factors to be monitored, decisions to be made based on data, and those decisions to be executed at a distance. The objective of the system is to minimize the amount of water used, to improve the state of the plants, and ultimately to allow the users of the system to control their gardens from anywhere in the world with as little effort as possible. The concept makes use of the continuously monitored network of sensors to observe important parameters like soil moisture, temperature, humidity, light intensity and rainfall among others. After being received, this information is up to date and the system will use this data to manage irrigation and lighting systems for the plants efficiently. Also, the support of this cloudbased platform is essential today as it allows the users to look up the parameters in their garden remotely and go for manual intervention when required. All the advantages of cloud technology provide remote control of the system but also all the historical data sets which are important trends in future decision making. © 2025 IEEE.

关键词： Green computing

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Sensorless control Strategy of Hybrid Stepper Motor Based on Improved Sliding Mode Observer

Sensorless Control Strategy of Hybrid Stepper Motor Based on...

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international conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Zhang, Yuchen Lu, Peng Huang, Keying Hu, Mingliang Zhao, Jun Fan, Ping Chen, Bo Aeronautics Computing Technique Research Institute Xi’an China School of Automation Northwest Polytechnical University Xi’an China

ISBN: (纸本)9789819618552

The open-loop control of the stepper motor is simple, but it has low positioning accuracy, large torque pulsation, and low energy efficiency. While the sensorless closed-loop field-oriented control has high precision, small torque pulsation, and high energy efficiency, it has problems such as complex structure and a large calculation. To achieve a speed closed-loop, a sensorless control method combining an improved sliding mode back electromotive force observer is pro-posed, combining a high-order super-twisting sliding mode observer (SMO) and a third-order phase-locked loop (PLL). Super-twisting SMO improves the chattering problem of traditional one-order SMO, and third-order PLL can eliminate steady-state errors during acceleration and deceleration processes, enhancing the estimation accuracy and stability of the rotor position and speed. Finally, an experimental platform on the basis of a two-phase hybrid stepper motor was built to verify the effectiveness and reliability of the control strategy. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Stepping motors

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Advanced Fire Detection and Extinguishing Rover with YOLOv8

Advanced Fire Detection and Extinguishing Rover with YOLOv8

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2025 IEEE international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Shah, Aaryan Kumar Yadav, Anil Awal, Sanika Kashyap, Deekshit Pinge, Ninad Kaushik, Shreya Vit Bhopal University School of Computing Science Engineering and Artificial Intelligence Madhya Pradesh Sehore India

ISBN: (纸本)9798331529833

The project 'Advanced Fire Detection and Extinguishing Rover utilizing YOLOv8' introduces a cutting-edge, fire-detection and suppression system that uses deep learning and robotic automation to improve safety. The system uses the YOLOv8 object identification model, which was trained on several fire-related datasets, to effectively identify fire dangers in real-time using live video feeds processed using Python and OpenCV. When the system detects a fire with a high confidence score, it labels the impacted regions and sends the rover driven by the remote controlled and Arduino microcontroller. The rover's servo motor independently directs an inbuilt fire extinguisher to extinguish flames. Bluetooth allows remote monitoring and control, ensuring that everything runs smoothly and securely. This combination of artificial intelligence, computer vision, and robotics provides a revolutionary method for proactive fire-risk mitigation that aims to reduce damage, improve safety, and save lives. © 2025 IEEE.

关键词： Fire extinguishers

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OSCA: End-to-end Serial Stochastic computing Neural Acceleration with Fine-grained Scaling and Piecewise Activation 24

OSCA: End-to-end Serial Stochastic Computing Neural Accelera...

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43rd international conference on Computer-Aided Design, ICCAD 2024

作者： Hu, Yixuan Jia, Yikang Li, Meng Wang, Yuan Wang, Runsheng Huang, Ru School of Integrated Circuits Peking University China School of Software and Microelectronics Peking University China Institute for Artificial Intelligence Peking University China Institute of Electronic Design Automation Peking University China Advanced Innovation Center for Integrated Circuits China

ISBN: (纸本)9798400710773

End-to-end stochastic computing (SC) emerges as a promising paradigm for efficient neural acceleration. However, existing serial SC accelerators face serious accuracy challenges due to errors in addition, limited activation compatibility, and limited bitstream multiplication. In this paper, we propose OSCA, an accurate yet efficient end-to-end serial SC accelerator. OSCA features fine-grained scaling control in the SC adder to minimize quantization error and introduces novel segment units for piecewise approximation of complex nonlinear activation functions. We also design an integer-bitstream multiplier that guarantees accuracy regardless of the correlation between input bitstreams. Compared to the serial baseline accelerator of INT8 precision, we can achieve a 30.18% reduction in root mean square error (RMSE) along with an 87.75% area-delay product (ADP) reduction. Moreover, compared to a more accurate parallel accelerator, OSCA achieves a 92.05% ADP reduction with a 12.54× improvement in area efficiency, while also increasing inference accuracy by 0.44% and 0.86%. © 2024 Copyright is held by the owner/author(s).

关键词： Piecewise linear techniques

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Optimal control Design for Stick-Slip Vibrations Mitigation in Rotary Drilling Systems

Optimal Control Design for Stick-Slip Vibrations Mitigation ...

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international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2024

作者： Tellaa, Mawloud Aibeche, Abderrezak Doghmane, Mohamed Zinelabidine Kidouche, Madjid Automation and Electrification of Process Applied Automation Laboratory Faculty of Hydrocarbons and Chemistry University M’Hamed Bougara Boumerdes35000 Algeria Institute of Electrical and Electronics Engineering University M’hamed Bougara Boumerdes Algeria Bob L. Herd Department of Petroleum Engineering Texas Tech University LubbockTX79401 United States

ISBN: (纸本)9783031803000

Various forms of vibrations can have a negative impact on the drilling process in rotary drilling equipment. The presence of vibrations can result in equipment damage, reduced borehole quality, decreased drilling efficiency, and increased non-productive time. Currently, the sole existing method to control these vibrations is by manually modifying drilling parameters, which is not a reliable technique and might lead to unfavourable economic consequences. Scientists have devised automated control systems to address these irregularities;however the effectiveness of the controllers is still being refined. Lately, the utilization of a PID controller based on particle swarm optimization has demonstrated noteworthy achievements. Nevertheless, the stick-slip vibration mitigation in rotary drilling equipment has not been subjected to testing. This research seeks to investigate and suggest the utilization of a PID controller, fine-tuned using the particle swarm optimization technique, to enhance the effectiveness of controllers developed for the purpose of reducing vibrations in rotary drilling systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stick-slip

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Edge and Fog computing in Cyber-Physical Systems

Edge and Fog Computing in Cyber-Physical Systems

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Gangrade, Priyanshi Kushwah, Virendra Singh Date, Saroj S. Jagdale, Archana D. Upreti, Kamal Singh, Vinai K. School of Cse and Ai Vit Bhopal University Sehore India Csmss Chh. Shahu college of Engineering Dept. of Ai and Ds Maharashtra Chh. Sambhajinagar India Barclays Services Corp 745 Seventh Avenue New York United States Department of Computer Science Christ University Delhi Ncr Ghaziabad India Gl Bajaj Group of Institutions Department of Computer Science & Engineering Mathura India

ISBN: (纸本)9798331527495

The benefits of cyber-physical system advances include low latency and high bandwidth data processing in areas such as automotive, healthcare, and business automation. Traditional environments are often located in centralized and remote locations and cannot meet the demand. Edge computing and cloud computing have become fundamental concepts that will bring computing closer to the center of the data. Edge computing can reduce latency and bandwidth consumption by processing data on or near IoT devices. Fog computing adds another layer to this by distributing work and storage across multiple nodes, thus providing a scalable and flexible infrastructure. This article discusses the principles, benefits, and challenges of integrating edge and cloud computing into a CPS environment. It leverages the power of proximity-based edge computing and the centralized capabilities of cloud computing to provide scalable, instantaneous responses to CPS applications or time to optimize services. The demonstration shows a variety of things from smart cities to the use of IoT in healthcare in CPS. The article also covers some specific security and privacy issues and future directions in distributed computing, including the role of AI and 5G, which are supposed to offer additional resources in various applications. © 2025 IEEE.

关键词： Data reduction

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