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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41-50 订阅

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Chebyshev Polynomials for Efficient Gaussian process Computation 27

Chebyshev Polynomials for Efficient Gaussian Process Computa...

引用

27th international conference on Methods and Models in automation and Robotics (MMAR)

作者： Dudek, Adrian Baranowski, Jerzy AGH Univ Sci & Technol Dept Automat Control & Robot Krakow Poland

ISBN: (纸本)9798350311075

Gaussian processes (GP) are becoming more and more popular way to solve statistics and machine learning problems. One of the reasons is the increase in computational power that can handle the inherent computational problem for GP models. Still, in the case of big data, the computational burden can be impractical. For this reason, various approximation methods are developed. In our work, we would like to present an alternative to the internal approximation by using the properties of Chebyshev polynomials. The idea is to calculate the GP model only at Chebyshev nodes and use the property of transforming function values in them to Chebyshev coefficients giving a solution to the original problem. In our research, we propose our version of the algorithm and test it on cases of various functions.

关键词： Gaussian process Chebyshev Polynomials Chebyshev Series computing efficiency

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Wireless process control For Monitoring Level and pH of Water 15

Wireless Process Control For Monitoring Level and pH of Wate...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Mouleeshuwarapprabu, R. Rajkumar, K. Kalavathidevi, T. Suganth, S. Revathi, P. Kongu Engineering College Electronics and Instrumentation Engineering Erode India

ISBN: (纸本)9798350370249

This project introduces an innovative o industrial process control using Programmabl controllers (PLCs) - an mication. The primary goal is to create a system that can monior and manage various physical parameters in real-ime, thereby optimizing industrial processes. The andes data acquisition, interfacing with sensors such as float sensors for level measurement, pH sensors, and temperature sensors. It also controls digital outputs like pumps and buzzers based on predefined thresholds. When parameter deviations are detected, this information is wirelessly transmitted using Zigbee technology. On the receiving end, another Zigbee module is connected to a PIC microcontroller linked to a PLC. The PLC processes the incoming data and, based on pre-programmed logic, provides instructions to control the pump or activate the buzzer, thus regulating the industrial process. This setup enables real-time data transmission, allowing for rapid responses to parameter deviations. The wireless communication eliminates the need for extensive cabling, simplifying system expansion and reconfiguration. By integrating these technologies, the project aims to optimize industrial processes, enhance safety, and reduce operational costs. In conclusion, the project demonstrates the potential of wireless automation in industrial settings. It streamlines data exchange and enables efficient control of critical processes, providing a practical application of modern automation technologies and serving as a foundation for further research and development in the field of industrial process control. © 2024 IEEE.

关键词： Data Acquisition and processing pH Programmable Logic controllers (PLCs) Sensors (Float Temperature) Zigbee-based Wireless Communication

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A data-driven approach for context definition in situation-aware wearable computing systems 20

A data-driven approach for context definition in situation-a...

引用

IEEE 20th international conference on automation Science and Engineering (CASE)

作者： D'Aniello, Giuseppe Fortino, Giancarlo Gaeta, Matteo Rehman, Zia Ur Univ Salerno Dept Informat & Elect Engn & Appl Math Fisciano SA Italy Univ Calabria Dept Comp Engn Modeling Elect & Syst Arcavacata Di Rende CS Italy

ISBN: (纸本)9798350358513;9798350358520

A situation-aware wearable computing system is defined as a wearable device with the capability to perceive, comprehend, and project the situations occurring in the environment in order to adapt its behavior accordingly. For this kind of devices, the identification of complex situations related to the activities performed by users in various contexts is of great interest. This requires the capability to identify context states. A well-known technique for this task is the Context Space Theory (CST), which provides a multidimensional space representing contexts. Although powerful and lightweight, this technique has the drawback of requiring manual definition of such a space, a time-consuming process that involves domain experts. To address this issue, this work proposes a data-driven approach for defining context spaces in CST using kernel density estimation. This approach is compared with a state-of-theart expert-based CST technique and a fuzzy inference system for context representation, demonstrating superior performance on the Extrasensory dataset.

关键词： Wearable computers

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A Magnetic Field SLAM algorithm Based on Bayesian Filtering and Gaussian process Regression 18

A Magnetic Field SLAM algorithm Based on Bayesian Filtering ...

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18th international conference on control automation Robotics and Vision

作者： Magad, Adeb Emzir, Muhammad King Fahd Univ Petr & Minerals Control & Instrumentat Engn Dept Dhahran Saudi Arabia

ISBN: (纸本)9798331518509;9798331518493

This study presents a method for simultaneously localizing and mapping magnetic fields (SLAM) via unscented Kalman filter (UKF) coupled with reduced-rank Gaussian process (GP) regression with the magnetic field measurement. The goal is to enhance the efficiency and precision of magnetic field-based localization in environments with spatial variations. The approach first involves breaking down the magnetic field potential into a series of basic functions. By employing Reduced-Rank GP Regression, the representation becomes more stream-lined, leading to quicker computations and decreased storage needs. Then, two estimation techniques are compared: extended Kalman filter (EKF) and UKF filtering methods for estimating the states of the dynamic model. Simulation results indicate the effectiveness of the proposed methods in estimating the true dynamic states. Additionally, the proposed UKF design exhibits a slight improvement in accuracy at specific magnetic field length scales compared to the EKF approach.

关键词： SLAM Magnetic field EKF UKF GP

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Online process Fault Diagnosis through Integration of Principal Component Analysis, Modified Recurrence Plot, and Convolutional Neural Networks 29

Online Process Fault Diagnosis through Integration of Princi...

引用

29th international conference on automation and computing (ICAC)

作者： Dong, Yiran Zhang, Jie O'Malley, Chris Newcastle Univ Sch Engn Newcastle Upon Tyne Tyne & Wear England

ISBN: (纸本)9798350360882;9798350360899

This paper presents an effective online process fault diagnosis method by integrating recurrence plots (RP) with convolutional neural networks (CNN). To cope with the high dimension of process data, principal component analysis (PCA) is applied to the original process data. RPs are then produced using the major principal components (PCs). As RPs are symmetric, this paper proposes to merge the two RPs for the first and second PCs into one to represent more information. The merged RPs serve as the inputs to a CNN, which is trained for fault diagnosis. The proposed fault diagnosis method is demonstrated on a simulated continuous stirred tank reactor (CSTR) system. It is shown that the proposed fault diagnosis system gives enhanced diagnosis performance.

关键词： process monitoring fault diagnosis principal component analysis recurrence plot convolutional neural network

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CFA-OpenRAN: An Integrated Communication, computing, and control Architecture for Wireless Cloud Fog automation Based on O-RAN 22

CFA-OpenRAN: An Integrated Communication, Computing, and Con...

引用

22nd IEEE international conference on Industrial Informatics, INDIN 2024

作者： Liu, Yijia Pang, Zhibo Ding, Yuemin Tecnun School of Engineering University of Navarra San Sebastián20018 Spain ABB Corporate Research & KTH Royal Institue of Technology Västerås Sweden ABB Corporate Research & KTH Royal Institue of Technology Stockholm Sweden

ISBN: (纸本)9798331527471

Industrial automation systems are pivotal in enhancing the digitization and intelligence of the industrial sector. In recent years, wireless communication technologies (such as B5G/6G) and Cloud Fog automation (CFA) have revolutionized the industrial sector, providing unparalleled flexibility and scalability. However, the prevailing CFA architecture predominantly concentrates on network and system levels, often neglecting the optimization of the physical layer communication process. To achieve the optimal system-level performance of wireless CFA, this study introduces CFA-OpenRAN, an integrated architecture encompassing communication, computing, and control. By leveraging the open design, standardized interfaces, and software-defined paradigm of O-RAN, CFA-OpenRAN facilitates cross-domain optimization of communication, computing, and industrial control in wireless CFA. In the end, an application scenario of joint resource allocation and the corresponding experiment setup was developed. © 2024 IEEE.

关键词： Resource allocation

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Design of Teaching Platform for process automation 26th

Design of Teaching Platform for Process Automation

引用

26th international conference on Interactive Collaborative Learning (ICL) - Towards a Hybrid, Flexible and Socially Engaged Higher Education / 52nd IGIP international conference on Engineering Pedagogy

作者： Carrillo, Gabriel Conde Lei, Zhongcheng Chacon, Jesus de la Torre, Luis Univ Nacl Educ Distancia UNED Madrid 28040 Spain Wuhan Univ Wuhan 430072 Peoples R China Univ Complutense Madrid UCM Madrid 28040 Spain

ISBN: (纸本)9783031533815;9783031533822

Industrial controllers and plants are crucial tools for teaching in universities, colleges, and institutes to bridge the gap between academia and industry. This paper introduces a multi-functional industrial plant that employs a programmable logic controller (PLC) for process automation. The industrial plant consists of a pump, a heating system, various types of sensors (such as pressure and temperature sensors), and different valves (including manual acting, pneumatic, and proportional solenoid valves), which can be configured in different combinations to serve different process control purposes. To expand the input and output capabilities and distribute the input/output (I/O) modules, a Siemens SIMATIC ET 200SP I/O system is connected to a Siemens SIMATIC S7-1200 PLC using Profinet communication networks. A case study is provided to verify the effectiveness of the process control station.

关键词： Industrial plant programmable logic controller (PLC) process control process automation education

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Optimizing Real-Time process control through Cloud-Based automation and Big Data Analysis 15

Optimizing Real-Time Process Control through Cloud-Based Aut...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Raghu, N. Mahajan, Rupali A. Sivanantham, A. Bareja, Lakshay Rayaguru, N.K. Ganesh, Reddy School of Engineering and Technology Electrical and Electronics Engineering Karnataka Bangalore India Vishwakarma Institute of Information Technology Department of COMP Pune India Karpagam Academy of Higher Education Department of Mechanical Engineering Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Prince Shri Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology Department of EEE Chennai India UTAS-IBRI Department of Engineering and Technology Oman

ISBN: (纸本)9798350370249

The complexity of absolute time process control in industries has increased. Despite this, these processes generally involve significant quantities of data that must be analyzed and controlled quickly to maintain the cadence necessary for sound decision-making. It will all intersect at a higher level when cloud-based automation meets extensive data analysis for an overall jump in real-time process control. With cloud-based automation, routines can be monitored and managed off-plot in real time changes the process to do optimization quickly. As the system is capable of automatically rectifying errors when those occur, a time intensive manual monitoring and intervention will be reduced drastically. Further, being a cloud-based platform, it can collect and store large data streams, allowing big-data analytics practices to be applied. Big data analysis will enable organizations to recognize patterns and trends in the process, which is a significant source of value for insights on optimizing it. In addition to this, proactive maintenance can done and costly down times that result due to breakdowns before they happen through predictive analysis as potential failures or anomalies are much smoother. This model means that data has cross-department function and usage through the cloud, leading to more excellent optimization and better decision-making. © 2024 IEEE.

关键词： Data Analytics

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A Comparative Analysis of automation Anywhere, UiPath, and BluePrism 3

A Comparative Analysis of Automation Anywhere, UiPath, and B...

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3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Baweja, Deeksha Chandigarh University UIC Mohali India

ISBN: (纸本)9798350399264

Robotic process automation is an insightful way to manage work across those tasks for which Al can easily be categorized. Nowadays, with the help of the concord of Al (Artificial Intelligence) and RPA (Robotic process automation), we can do what was earlier impossible within the skeleton of the usual automation of routine business processes. RPA technology is used to automate those tasks that are repetitive and redundant and as a result, it helps in building a large digital workspace. RPA bots are used for the automation of common task that is usually done by humans. It saves our time and reduces the need of the persons to perform a repetitive task. Many platforms provide tools for RPA. But in this paper, we are using three major tools are-automation Anywhere, UiPath, and BluePrism. All these tools are commonly used in industries for different purposes. This paper narrates the comparison among three platforms that are providing bot development for automated business processes. © 2023 IEEE.

关键词： process control

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Rational Intelligence Model: Overcoming Data Handling Limitations in LLMs 18

Rational Intelligence Model: Overcoming Data Handling Limita...

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18th international conference on control automation Robotics and Vision

作者： Tao, XueHong Miao, Yuan Wang, Guanhua Swinburne Univ Technol Melbourne Vic 3122 Australia Victoria Univ Melbourne Vic 3011 Australia

ISBN: (纸本)9798331518509;9798331518493

Many human-computer interactions and automated processes are dependent on data. We need to correctly store data and retrieve data to support these processes. Large Language Models (LLMs) have made significant progress in comprehension and reasoning. However, we have found that their ability to handle professional data is weak, which significantly limits their applications in automated processes and professional applications. These scenarios often involve a large number of similar data entries, which are challenging for LLMs such as ChatGPT-4 Omni. In this paper, we propose a Rational Intelligence Model that comprehends human experts' knowledge of data structure and process requirements of data, automatically extracts data from conversations with end users, and effectively stores the data and retrieves it for supporting the interaction and process. Experiments show that ChatGPT-4o can achieve 0% error in simple queries, 2.6% errors when data entries are out of order, and 38% errors when the queries are reasonably complex. However, with our proposed Rational Intelligence Model (RIM), we can achieve 0% error rate in all tests. RIM fundamentally changes software engineering and expert system development approaches. Instead of having a software engineer understand expert knowledge of data processing, this is now achieved by RIM, which means it is much more flexible, lower in cost, and requires much less development time.

关键词： Rational Intelligence ChatGPT SQL Large Language Model process automation expert system software engineering

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