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检索条件"任意字段=Conference on Advanced Process Control and Automation"

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Research on the Quality Evaluation System of Logistics Services for Fresh Agricultural Products Based on improved SERVQUAL method 7

Research on the Quality Evaluation System of Logistics Servi...

引用

7th IEEE advanced Information Technology, Electronic and automation control conference, IAEAC 2024

作者： Cheng, Hao Zhou, Quan Fu, Mian AnHui XinHua University Business School Hefei China

ISBN: (纸本)9798350339161

On the basis of analyzing the characteristics of fresh agricultural products and the current logistics situation, referring to the logistics service quality model, the key factors affecting the logistics service quality of fresh agricultural products are determined, and the evaluation index system of logistics service quality for fresh agricultural products and the service quality evaluation model based on improved SERVQUAL method are constructed. Taking Jingdong Mall as an example, empirical research is conducted on the evaluation of logistics service quality after determining the weight of the evaluation index using the Analytic Hierarchy process. The results show that the evaluation system can effectively solve the problem of quality evaluation of logistics services for fresh agricultural products. © 2024 IEEE.

关键词： Analytic hierarchy process

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Error analysis of the measurement system due to changes in the position of the light pen 6

Error analysis of the measurement system due to changes in t...

引用

6th IEEE advanced Information Management, Communicates, Electronic and automation control conference, IMCEC 2024

作者： Zhang, Peng Wang, Kaixuan Li, Zhen School of Information and Automation Jinan250353 China

ISBN: (纸本)9798350316520

The measurement accuracy of the light pen coordinate measuring system is affected by various error factors, such as camera calibration error, probe calibration error, light pen feature point center calibration error, light pen feature point center projection error, equipment installation error, and human error in the measurement process. One of the main influences on the accuracy of the measurement system is the center projection error of the light pen feature point, which is caused by the change of the light pen position during the measurement process. This paper proposes a method to analyze the projection error of the delicate pen position for the shift in the light pen position, which establishes the projection model of the light pen position according to the measurement range of the system and the camera parameters and analyzes the influence on the measurement accuracy by combining the camera calibration with the change of the light pen position. Through the combination of simulation and experiment to explore the measurement system, the error analysis method can be obtained in the light pen position pitch in -11 ° to 10 ° threshold within the swing in the -7 ° to 6 ° threshold error in 0.001-0.01 mm. The error analysis method is of great significance to the stable measurement of the light pen measurement system to realize higher accuracy. © 2024 IEEE.

关键词： Light pens

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A Research on Humidity control Method for Large Space Aircraft Climatic Laboratory 6

A Research on Humidity Control Method for Large Space Aircra...

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6th IEEE advanced Information Technology, Electronic and automation control conference (IEEE IAEAC)

作者： Wu, Xiangfu Wu, Jingtao Liu, Haiyan Aviat Ind Corp China Aircraft Strength Res Inst Xian Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

The control process of temperature and humidity for large space aircraft climatic laboratory has the feature of strong coupling. By analyzing the process principle of the humidification and dehumidification, a humidity control method combining bang-bang control and absolute humidity control is proposed to realize the decoupling control of air temperature and humidity. The test results show that the method can realize the adjustment of high temperature& high humidity, high temperature&low humidity, low temperature&high humidity and low temperature&low humidity for laboratory envelope, and good control effects of the temperature within +/- 2 degrees C and the relative humidity within +/- 5% are achieved.

关键词： humidity control absolutely moisture content decoupling control of temperature and humidity aircraft climatic laboratory

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A Novel Scheme for controlling Intelligent Television by Using Intelligent Camera

A Novel Scheme for Controlling Intelligent Television by Usi...

引用

2024 lEEE International conference on advanced Information, Mechanical Engineering, Robotics and automation, AIMERA 2024

作者： Zhou, Zhaoxiong China Mobile Internet of Things Limited Company Intelligent Hardware Products Department Chongqing China

ISBN: (数字)9798350343335

ISBN: (纸本)9798350343335

Although the home intelligent camera contains many functions, its application scenarios are still very limited. Based on the widely used big data analysis method and the face recognition function of intelligent camera, this paper designs a novel scheme of using intelligent camera to control intelligent television. The scheme combines intelligent camera, intelligent television, cloud platform and mobile App. The face recognition function of the intelligent camera recognizes people watching intelligent television, and reports to the mobile App remotely through the cloud platform;users can set the duration and period of watching intelligent television through the mobile App, and can also talk with the intelligent camera through the mobile App or send a language prompt message through the mobile App. In addition, the cloud platform can use big data analysis technology to recommend the best intelligent television playback time and duration to the mobile App, so that children can learn and entertain at the same time. The experimental results also show that the scheme has the conditions for popularization. This scheme can effectively realize the control of the intelligent camera on the intelligent television. © 2024 IEEE.

关键词： TV Data analysis Face recognition process control Speech recognition Big Data Cameras Mobile applications Robotics and automation Mechanical engineering

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Automatic Labeling of In-Situ Crystal Images based on Lightweight Network Bisenetv2 43

Automatic Labeling of In-Situ Crystal Images based on Lightw...

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43rd Chinese control conference, CCC 2024

作者： Yan, Luyao Fan, Ji Liu, Tao Wang, Hui Zhao, Zhenbang Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Dalian University of Technology Institute of Advanced Control Technology Dalian116024 China

ISBN: (纸本)9789887581581

To enhance the efficiency and accuracy of in-situ crystal image annotation for building up a model to monitor the crystal growth process during cooling crystallization, a deep learning based automatic labeling method is proposed by using the lightweight network Bisenetv2. The image segmentation is conducted by the lightweight network Bisenetv2, for which a hyperparameter optimization (HPO) and class balance training strategy is presented to improve the segmentation accuracy on in-situ captured images. The trained model is converted into the open neural network exchange (ONNX) format to reduce the implemental dependence on any specific or complex environmental configurations. Furthermore, a software package is developed to embed the ONNX format model for implementation. Additionally, a multi-stage image processing algorithm is provided to enhance image quality for analysis, based on the characteristics of in-situ crystal images captured during the crystallization process. Correction algorithms for poorly segmented crystal contours are also designed, resulting in a final mean intersection over union (mIOU) of 0.8216, with the automated annotation process taking approximately 1 second per image. Experimental results on in-situ images of β form L-glutamic acid (β-LGA) captured from different batches of crystallization validate the effectiveness and robustness of the proposed method. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Image segmentation

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Research Progress and Key Technology Analysis in Cooperative control of Dual Robots 6

Research Progress and Key Technology Analysis in Cooperative...

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6th International conference on Industrial Artificial Intelligence, IAI 2024

作者： Xu, Luwei Yan, Wenduan Sun, Yifang Kang, Quanjie Fu, Yue Institute of Advanced Manufacturing Fuzhou University Quanzhou362251 China Minnan University of Science and Technology Quanzhou362700 China Northeastern University National Key Laboratory of Integrated Automation for Process Industries Shenyang110819 China

ISBN: (纸本)9798350356618

To meet the intricate demands of modern industries, multi-robot cooperative control systems offer broad applications, robust fault tolerance, and high efficiency. This research proposes trajectory compensation and digital twin technology as remedies for challenging collaborative planning, low real-time and accuracy, limited model accuracy, and inadequate planning of complicated tasks in dual-robot cooperative control. Trajectory compensation has the potential to increase task efficiency, boost environmental adaptability, and maximize cooperative performance;digital twin technology is essential for real-time monitoring and prediction, cooperative control strategy optimization, fault diagnosis and prevention, and maintenance cost savings. © 2024 IEEE.

关键词： Robot programming

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Lattice-based Integration of Knowledge Graph Information for Chinese NER 43

Lattice-based Integration of Knowledge Graph Information for...

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43rd Chinese control conference, CCC 2024

作者： Wang, Xiaoxue Su, Housheng Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China

ISBN: (纸本)9789887581581

Knowledge Graph (KG) is a structured knowledge representation that encompasses abundant entity and relationship information, offering rich contextual insights for named entity recognition(NER). This study proposes the LIGNER model, which utilizes the Lattice-LSTM to integrate KG information into the process of NER for Chinese text. Lattice-LSTM is a neural network structure based on deep learning, which offers a flexible framework for organizing and representing entities. The LIGNER model integrates external information based on the Lattice framework, which helps to integrate structured knowledge from KG and improves the accuracy of NER. To address the challenge of low accuracy in long entity recognition, a new approach incorporating part-of-speech and position information is introduced. Experimental results on Chinese NER datasets demonstrate that LIGNER achieves advanced performance and efficiency compared with competitive methods. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Knowledge graph

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advanced control of the 13C isotopic separation process using AI

Advanced control of the 13C isotopic separation process usin...

引用

2024 International conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2024

作者： Motorga, Roxana-Maria Muresan, Vlad Abrudean, Mihail Clitan, Iulia Unguresan, Mihaela Popescu, Adrian Technical University of Cluj-Napoca Automation Department Cluj-Napoca Romania Technical University of Cluj-Napoca Physics and Chemistry Department Cluj-Napoca Romania Technical University of Cluj-Napoca Department of Manufacturing Engineering Cluj-Napoca Romania

ISBN: (纸本)9798350394528

In this paper is introduced an approach for modeling, implementing, and simulating the production of the 13C isotope by using the simplified model of the chemical process. To address the challenges of implementing and simulating the production of the enriched isotope, this paper approaches the approximation of the fractional-order system considering that the system's differentiation order varies, leveraging artificial intelligence methods. Given the process's slow nature, strong nonlinearity, time constants of increased values, and extended time required for settling, this paper also presents a comparison between the performances of the plant obtained by implementing three control structures: a PID controller, an IMC structure with a PD controller and an IMC structure with and adaptive PD controller. This paper also emphasizes the performances obtained by the adaptive strategy, which is operating with by variation of the sampling time, having an ability to reject the impact of disturbances in the system. All coefficients for the adaptative process are learnt through artificial intelligence methods, specifically utilizing neural networks. © 2024 IEEE.

关键词： MATLAB

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Mathematical and Fuzzy Model for Slag Thickness control automation in Gas-Stirred Ladle 14

Mathematical and Fuzzy Model for Slag Thickness Control Auto...

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14th International conference on advanced Computer Information Technologies, ACIT 2024

作者： Krasnikov, Kyrylo Dniprovskyi State Technical University Systems Software department Kamianske Ukraine

ISBN: (数字)9798350350043

ISBN: (纸本)9798350350036

The control of slag formation in steelmaking processes is crucial for ensuring the quality of the final product. This study presents a comprehensive approach to minimizing slag-free areas ('eyes') in the slag layer of an argon-stirred steel melt in a ladle equipped with tuyeres. A combination of mathematical modeling, specifically the Navier-Stokes equations, and a full factorial experiment design is employed to predict the size of slag 'eyes' and understand their dependency on key process parameters such as ladle size, tuyeres count, slag layer thickness and gas flow rate. The obtained predictions are utilized to develop fuzzy rules for a fuzzy control system, with parameters including gas flow rate, slag layer thickness, ladle size, and tuyeres count as inputs. The fuzzy control system demonstrated optimization capabilities, dynamically adjusting gas flow rates to minimize slag-free areas. The system's adaptability to variations in ladle conditions contributes to robust and efficient steelmaking operations. © 2024 IEEE.

关键词： Navier Stokes equations

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Hyperautomation-Beyond RPA: : Leveraging automation to Transform the Manufacturing Industries

Hyperautomation-Beyond RPA: : Leveraging Automation to Trans...

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2023 International conference on Computer Communication and Informatics, ICCCI 2023

作者： Kavitha, R. PSG College of Arts & Science Department of Computer Science Coimbatore India

ISBN: (纸本)9798350348217

In the technological ambience, the manufacturing industry sector must migrate to robotic process automation, intelligent process automation, and artificial intelligence. By exploiting modern digital corporate processes and technology breakthroughs, businesses all over the world are embracing automation solutions capable of imitating human behaviors, eliminating repetitive work, and ultimately converting employee roles into top-tier employment. After the pandemic, every industry education, manufacturing, healthcare, etc., moved toward automation and internet activities. Most firms now rely on automation techniques like robotic process automation (RPA), Artificial Intelligence (AI), more recently Intelligent process automation (IPA) and Hyperautomation to reduce costs, speed up processes, and improve the accuracy of crucial business activities. The industrial sector has grown significantly and advanced technologically over the years. advanced technologies have always produced more efficient techniques for converting raw materials into finished items. As a result, modern businesses have kept coming up with novel uses for these tools to help automate manual processes and increase productivity across the entire production line. process automation in manufacturing refers to the application of technology to repetitive, manual tasks that were previously successfully completed by people. Contrary to automation in other industries, manufacturers are able to create products as they go through the production process using a wide variety of machines and robots. automation in this context typically refers to both doing the activity itself and doing away with the need for human input during data entry. In the manufacturing industry, 'automation' refers to the use of machines to speed up systems or production processes. The ultimate goal is to boost productivity by lowering costs or increasing production capacity, frequently both. automation is now more frequently defined as the ap

关键词： process control

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