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Analysis and Prevention of Abnormal Shutdown Caused by Switch Network

Analysis and Prevention of Abnormal Shutdown Caused by Switc...

引用

ieee information technology, networking, electronic and automation control conference

作者： Zhenye Qi Zhizheng Du Guangfei Zhou Huadian Electric Power Research Institute Co. Ltd Jinan Shandong China

Unit 1 and unit 2 of a company tripped because the root switches of two units were connected. Due to the "BYPASS" function in the industrial intrusion detection system in the safety protection system, when the "BYPASS" function is activated in the state of power loss, the two network interfaces (No. 1 and No. 2) on the industrial intrusion detection system are physically connected, and the security switch in the safety protection system of unit 2 is not configured. At this time, the whole safety protection system becomes a conduction loop, the root switch of the DCS system of unit 1 and unit 2 is connected, and the SID address of some parameters in the DCS system of the two units is the same, resulting in data conflict in the DCS system of unit 1 and unit 2. As a result, the 0/1 state of switch measurement point of Unit 1 "backpressure overlimit jumper 1", "backpressure overlimit jumper 2" and Unit 2 "backpressure overlimit jumper 1" are flipped. Error signal command is issued, unit 1 and 2 trip out of column.

关键词： Measurement units automation Intrusion detection Switches Companies control systems Safety

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Image Principal Part Augmentation for Fine-Grained Image Classification

Image Principal Part Augmentation for Fine-Grained Image Cla...

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2023 International conference on Artificial Intelligence and automation control, AIAC 2023

作者： Li, Zixuan Li, Feifei Su, Guanghui Xu, Jie Xu, Zhiyuan Li, Yiyao University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Chengdu Xingyinian Intelligent Technology Co.LTD Chengdu610095 China

ISBN: (纸本)9798350383805

To avoid the dramatic impact due to the agricultural pests, computer vision technology used to recognize agricultural pests has been a focal spot. Nevertheless, there have been some significant challenges about fine-grained image classification. This paper proposes an image principal part augmentation method tailored for insect scenarios, aiming to address the challenges posed by subtle features and background interference in fine-grained image classification. The approach not only significantly enhances network performance but also demonstrates high versatility. This paper makes meaningful strides in methodology for fine-grained image analysis, particularly in insect scenes. © 2023 ieee.

关键词： Image classification

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Flow-split: an Approach to Reduce Flow Establish Time and Invoking of controller in OpenFlow Networks

Flow-split: an Approach to Reduce Flow Establish Time and In...

引用

2016 ieee information technology,networking,electronic and automation control conference(ITNEC 2016)

作者： Tao Yi Hanyu Li Department of Computer Science and Engineering Shanghai Jiaotong University

ISBN: (纸本)9781467391955

In OpenFlow networks, the controller configures the forwarding of packets and gets states and statistics of the network from operating on flow entries in flow tables of *** centralized controlling brings such a problem. If flow entries matching a wide range of packets is installed, the controller cannot get statistics of precise flows. If flow entries to match a precise range are used, lots of misses are happened, which invokes the controller frequently and affects the performance of packet forwarding. In this paper, we propose and implement a new Open Flow action: flow-split to solve this problem. This action can generate new flow entries in the switch according to its configurations and the header fields of the matched packets. By installing flows using flow-split action that match a wide range,the controller can still get the statistics of more precise flows from the generated precise flow entries, and reduce the invoking of the controller. Experiments on emulated networks shows that flow entries with flow-split action achieves a significant reduction on flow establish time and involvement of the controller.

关键词： Software defined networking(SDN) Network management OpenFlow Flow-split OpenFlow action

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Classification of Dunhuang Mural Image Based on Small-sample and Semi-supervised Learning

Classification of Dunhuang Mural Image Based on Small-sample...

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ieee information technology, networking, electronic and automation control conference

作者： Hui Cui Zhibin Su Luyue Zhang Liyang Bai School of Information and Engineering Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Center for Ethnic and Folk Literature and Art Development Ministry of Culture and Tourism P.R.C.

Dunhuang mural images classification belongs to the research task in the field of image recognition. In this paper, the semi-supervised model is established with multidimensional features extracted by transfer learning. A small number of labeled samples were used to obtain a large number of unlabeled data, combined with Active Learning and iterative strategy for multiple rounds of label transfer of selected samples. After several rounds of iterations, we can get a more powerful classification learner. Experiments on the self-built Dunhuang mural dataset have shown that the results can approach or even exceed some supervised learning methods when the number of known label samples is less than 4%. Our research implements the cultural resource image classification algorithm based on small samples, which is conductive to improving the accuracy when label samples are scarce.

关键词： Technological innovation Transfer learning Supervised learning Semisupervised learning Predictive models Feature extraction Classification algorithms

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How Deep Learning is Implemented in Manufacturing Quality control 3

How Deep Learning is Implemented in Manufacturing Quality Co...

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3rd International conference on Artificial Intelligence and Computer information technology, AICIT 2024

作者： Li, Dongjin Chen, Xinyan Tan, Peiwen Jia, Jie School of Electronic Information Shanghai Dian Ji University Shanghai201306 China

ISBN: (纸本)9798350365443

This study aims to explore the application and effect of deep learning technology in manufacturing quality control. The study deployed a convolutional neural network (CNN) model to analyze images and sensor data during the manufacturing process to achieve automatic detection and classification of defects. The experiments were conducted in a simulated high-speed production line environment, and a large amount of production data, including images and sensor readings, were collected and processed. The results showed that the accuracy of the deep learning model in identifying serious, moderate and minor defects reached 98%, 95% and 90% respectively, which was significantly higher than the traditional quality control system. The conclusion shows that deep learning technology can significantly improve the quality control accuracy and efficiency of the manufacturing industry, provide strong technical support for the field of intelligent manufacturing, and indicate broad application prospects in advanced manufacturing systems that require higher levels of automation and intelligence. © 2024 ieee.

关键词： Smart manufacturing

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A Microservice Association Model Approach

A Microservice Association Model Approach

引用

ieee information technology, networking, electronic and automation control conference

作者： Wenbo Shang Fazheng Luo Wei Wang Xiaoqin Liu Bokai Li State grid Gansu electric power Company information and communication company Lanzhou China

ISBN: (数字)9798350370805

ISBN: (纸本)9798350370812

Based on the graph model algorithm, this paper proposes a management method for microservices to split the branch dependency relationship into no branch dependency relationship. Topological relationship is searched through the pointer of the index-free adjacent graph database, and the dependency edge is represented by nodes in the graph model to distinguish the position of the algorithm module in different task processes. The algorithm module that is multiplexed by multiple tasks is represented by only one algorithm module node in the graph, and finally it has obvious advantages through experiment.

关键词： Multiplexing automation Databases Microservice architectures Project engineering information technology

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Monitoring system of plant growth environment temperature based on LabVIEW and BP neural network

Monitoring system of plant growth environment temperature ba...

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ieee information technology, networking, electronic and automation control conference

作者： Xudong Cui Liguo Tian Meng Li Han Han Shidong Hou Chunhu Shang College of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Technology and Education Tianjin China

In the current agricultural intelligence, the monitoring of plant growth environment parameters needs to use a variety of sensors which also leads to the existing intelligent control system being generally large. The electrical signal is another important signal in plants which contains abundant information besides hydraulic and chemical signals. Plant electrical signals can not only regulate plant growth but also reflect the environment to a certain extent. The collection of Aloe Vera electric signals at different temperatures (15, 19, 23, 27, 31, and 35 ℃) is accomplished by using LabVIEW software and hardware. The signal is denoised by using the module in the signal processing toolkit. The BP network is trained repeatedly by extracting the eigenvalues from the signal and the model with the smallest mean variance is selected as the optimal model. Deploy the model to the computer and use mixed programming with MATLAB to invoke the model. Use the powerful graphical programming and interface development capabilities of LabVIEW to ultimately build a monitoring system for plant growth environment temperature. Making the future agricultural intelligent control system lightweight and portable.

关键词： Temperature sensors Computational modeling Plants (biology) Neural networks Programming Mathematical models Eigenvalues and eigenfunctions

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Chinese Herbal Medicine Leaves Classification Based on Improved AlexNet Convolutional Neural Network 4

Chinese Herbal Medicine Leaves Classification Based on Impro...

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4th ieee Advanced information technology, electronic and automation control conference, IAEAC 2019

作者： Huang, Fangliang Yu, Lei Shen, Tongping Jin, Li Anhui University of Chinese Medicine School of Medicine and Information Engineering Hefei China

ISBN: (纸本)9781728119076

In recent years, deep learning has been widely used in various fields in image processing. In this paper, an improved AlexNet model is proposed to enhance feature extraction, and its feasibility is verified by comparative experiments. Firstly, the web obtainer algorithm is used to climb the image of 5 types of Chinese herbal medicine leaves to form a data set with a small sample size. Secondly, the original data set capacity is increased by 4 times to form a new data set by data augmentation technology. Finally, four sets of comparative experiments are carried out between the improved AlexNet model and the augmented data set. The experimental results show that the AlexNet model combined with data augmentation and improvement can greatly improve the accuracy of Chinese herbal medicine image classification. © 2019 ieee.

关键词： Image classification

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Research on User-Oriented Quality Management of Network Operation and Maintenance

Research on User-Oriented Quality Management of Network Oper...

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ieee information technology, networking, electronic and automation control conference

作者： Bingpeng Zhang Xiangyang Liu Xiaoting Wang Han Zhang College of Information Communication National University of Defense Technology Wuhan Hubei Province China

ISBN: (数字)9781728143903

ISBN: (纸本)9781728143910

The transformation of operators' traffic management, the demand for refined management, and the improvement of users' satisfaction have put forward higher requirements for network maintenance. In order to better network fine operation and maintenance management around user perception, this paper analyzes the influence of quality of service (QoS) and quality of experience (QoE) on users' subjective feelings, establishes an evaluation model to quantify user experience quality, and lists a practical application scenario using this model.

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Performance Evaluation of Instruction Systolic Array Processors

Performance Evaluation of Instruction Systolic Array Process...

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Proceedings of the 7th International conference on control, automation, Robotics and Vision, ICARC 2002

作者： Leo, Chim Sim Leedham, Graham Schroder, Heiko Ctr. for High Perf. Embedded Systems School of Computer Engineering Nanyang Technological University Singapore Singapore Sch. of Comp./Information Technology Roy. Melbourne Inst. of Technology Australia

ISBN: (纸本)9810474806

This paper describes the performance evaluation of an SIMD system on a commonly encountered Standard Linear Equation problem. We introduce a prototype SIMD system, called the Systola 1024, whose parallel architecture is based upon the Instruction Systolic Array concept. To evaluate the performance of this architecture we have implemented an in-cache problem to measure its MFLOP by solving the Gaussian Elimination problem to obtain the LU factorization. We also examine the effects of increasing the array processors by a certain factor.

关键词： Robotics

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