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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68437 条记录，以下是431-440 订阅

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An Intelligent Anytime Scheduling Method for Robotic Cellular Manufacturing Systems

An Intelligent Anytime Scheduling Method for Robotic Cellula...

引用

2023 international conference on automation in Manufacturing, Transportation and Logistics, iCaMaL 2023

作者： Lv, JianYong Huang, Bo Cui, Meiji School of Computer Science & Engineering Nanjing University of Science & Technology Nanjing China School of Intelligent Manufacturing Nanjing University of Science & Technology Jiangyin China

ISBN: (纸本)9781839539954

The work proposes a hybrid search for solving the scheduling problem in robotic cellular manufacturing systems. The proposed approach utilizes a combination of the A∗ approach with a depth-first search to iteratively explore the reachability graph of a place-timed Petri net to obtain transition firing sequences that lead from an original state to a final one. This approach can effectively produce near-optimal solutions within a short computational time, while continuously improving the solution quality as more time is allocated for the search. Experimental evaluations of some example systems have demonstrated the efficacy of the approach. © The Institution of Engineering & technology 2023.

关键词： Petri nets

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Combined dispatching of wind, photovoltaic, thermal power, hydropower and storage based on improved NSGA-II algorithm 6

Combined dispatching of wind, photovoltaic, thermal power, h...

引用

6th international conference on computer Information science and Application technology, CISAT 2023

作者： Huang, HaoMing Shao, Yong School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China

ISBN: (纸本)9781510668546

In order to reduce the carbon emissions of thermal power in the combined dispatching system and ensure the safety and stability of power grid operation, a combined dispatching model of wind, photovoltaic, hydropower, thermal power and storage with the largest economic benefits and the smallest thermal power output fluctuations was constructed. At the same time, based on the standard NSGA-II algorithm, an improved NSGA-II algorithm based on adaptive arithmetic crossover operator and good point set initialization is proposed. Finally, the actual data of A and B in East China were selected for example analysis. The results show that compared with the standard NSGA-II algorithm, the improved NSGA-II algorithm can search for a more low-carbon economic dispatch strategy. © 2023 SPIE.

关键词： Carbon

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Decision Analysis Based on SVR and XGBoost Prediction Models

Decision Analysis Based on SVR and XGBoost Prediction Models

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2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： Tao, Rui Liu, Ziheng Zhang, Yajuan Wang, Xuran Wang, Jingjing Li, Linlin Tianjin University of Science and Technology Tianjin China

ISBN: (纸本)9798350309614

This article presents a prediction model for decision analysis based on SVR (Support Vector Regression) and XGBoost (eXtreme Gradient Boosting). The data of question C of CUMCM in 2023 is used, and the attached data is first preprocessed. The Spearman correlation coefficient model is constructed to analyse the correlation of sales between different categories and single products. Based on machine learning analysis methods, the SVR model is built to predict the decision of each category in the coming week. Through the comparison of different models, the XGBoost model is used to predict and analyse the optimal decision of single product, the results show that the coefficient of determination of both the training set and the test set is greater than 0.96, which has a good fitting effect. The sensitivity analysis of the cost markup rate yields a small change in this important parameter for fluctuations of +5% and -5%, indicating that overall the model is less sensitive and has good robustness. © 2023 IEEE.

关键词： correlation analysis sensitivity analysis SVR XGBoost model

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Building Multi-location, Trustful and High Availability Platforms with Blockchain and Cryptocurrencies: A Review 2

Building Multi-location, Trustful and High Availability Plat...

引用

2nd international conference on automation, Computing and Renewable Systems, ICACRS 2023

作者： Singh, Kulvinder Himanshu Dept of Computer Science Engineering Chandigarh University Punjab Mohali India

ISBN: (纸本)9798350340235

The World Wide Web has evolved dramatically sinceits invention, its first generation was known as Web 1.0 which was a read only environment, then came Web 2.0 which granted the writing and editing capabilities to the use, but the ownership of the network was still centralized through the two generations. Then came Web 3.0 with the key emphasis to decentralize the network i.e., to transfer the ownership to the people instead of one governing body as its head. With the development of Web 3.0 the major areas which are currently worked upon are Cryptocurrencies and its underlying technology Blockchain. This paper traces the development of the blockchain technology and cryptocurrencies and its acceptance amongst the people. © 2023 IEEE.

关键词： Bitcoin Blockchain Cryptocurrency P2P Smart Contract

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To Enhance a System for Predicting Cardiovascular Disease Using Feature Selection

To Enhance a System for Predicting Cardiovascular Disease Us...

引用

2023 international conference on IoT, Communication and automation technology, ICICAT 2023

作者： Gupta, Shubham Mishra, Vikas Prasad Gawade, Sandhya Sharma, Vibhor Thapliyal, Madhur Shivalik College of Engineering Department of Computer Science & Engineering Dehradun India Ies University Department of Agriculture Sciences Madhya Pradesh Bhopal India Madhyanchal Professional University Department of Computer Science & Engineering Madhya Pradesh Bhopal India Hsst Swami Rama Himalayan University Jollygrant Department of Computer Science & Engineering Dehradun India School of Computing Graphic Era Hill University Dehradun India

ISBN: (纸本)9798350302820

Many individuals in India lack access to affordable, readily available, and high-quality medical treatment. Medical diagnostic and therapeutic aid in the early stage of disease is hampered by a lack of facilities in rural regions, resulting in delayed treatment and an increase in morbidity and death. Non-communicable disease mortality in India has risen dramatically during the previous two decades. Throughout the course of this time period, the percentage of fatalities attributable to CVDs rose from 15.2% to 28.1%. In addition to cardiovascular disease, other chronic illnesses' death rates have risen dramatically during the previous two decades. Present circumstances make it imperative to employ machine learning methods in order to make quality healthcare in India more accessible and cheap. The primary goal of this study is to enhance healthcare possibilities by utilizing machine learning methods. Using Chi-square, information gain, and principal component analysis, this paper provides a unique hybrid feature selection approach for filtering out superfluous data. The findings of this investigation are quite astonishing. Validation was achieved by comparing the outcomes to other feature selection techniques. © 2023 IEEE.

关键词： Principal component analysis

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Flame Recognition Algorithm for aerial cruising firefighting Robot based on RGB and improved YOLOv5 4

Flame Recognition Algorithm for aerial cruising firefighting...

引用

4th international conference on computer Vision, Image and Deep Learning, CVIDL 2023

作者： Fan, Jianan Zhan, Xin Zhuhai College of Science and Technology Department of Electronic Information Science and Technology Zhuhai China

ISBN: (纸本)9798350326444

With the development of automation, intelligence, and unmanned technology in the warehousing industry, aerial cruise fire robots will become safety protection equipment for large logistics centers, large ports and docks, and other public places. The visual recognition system of aerial cruise firefighting robots is crucial for the recognition performance of flames. During the process of robot cruising, lighting, sunlight, and reflective objects are the main obstacles that confuse flame recognition. This article uses the image preprocessing algorithm RGB to filter out the areas suspected of being in flames through RGB threshold. Then, the filtered image is expanded and corroded through a filter, connecting the adjacent areas suspected of being in flames. Finally, the YOLOv5 algorithm model incorporating SE attention mechanism is used to perform flame recognition on the preprocessed image. This article uses the final algorithm model for experiments, and performs flame recognition on 5000 random photos, with a recognition accuracy of 96.291%. © 2023 IEEE.

关键词： Antennas

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Intelligent transformation of 6G network by incorporating Expert Systems

Intelligent transformation of 6G network by incorporating Ex...

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2023 IEEE international Students' conference on Electrical, Electronics and computer science, SCEECS 2023

作者： Chauhan, Tania Renjith, P.N. School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350398748

Expert Systems are currently being used in a number of fields, including automated translation, picture and speech recognition, fake news detection and many more. For starters, better standards for network latency, stability, better coverage and user experience are required as network services evolve. Operators and equipment suppliers are attempting to integrate Expert Systems into the network to support network automation and intelligent transformation in an effort to overcome these difficulties. However, in order to maximize the usefulness of an AI engine, significant amounts of data and computational power are needed. As a result, the interaction between Expert Systems is necessary for the future artificial intelligence network in the 5G and 6G era. In order to achieve smart resource management, intelligent service provisioning for 6G networks, this paper suggests an intelligent architecture based on Expert Systems. We identify crucial areas for further research and suggest potential fixes for expert system-based intelligent 6G networks. © 2023 IEEE.

关键词： Speech recognition

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Deep Learning Model to Detect and Classify Bone Fracture in X-Ray ImagesBOOK_conf_196895_none_none_1of1_10394986

Deep Learning Model to Detect and Classify Bone Fracture in ...

引用

2023 international conference on System, Computation, automation and Networking, ICSCAN 2023

作者： Imrankhan, M. Varalakshmi, I. Arthi, J. Pavithra, P. Reshma, J. Manakula Vinayagar Institute of Technology Department of Computer Science and Engineering Puducherry India

ISBN: (纸本)9798350315127

The skeletal system of the human body is very important and bones are vital to it. A support and facilitate body movement. To detect fractures in bones, doctors use X-ray images, but this manual technique is laborious and prone to mistakes. Therefore, an automated approach for diagnosing bone fractures is required. Power electronic device modeling is a frequent use of deep neural networks, or DNNs. The proposed system, provides a deep neural network model using ResNet 50 to distinguish between bones that are healthy and damaged. But when faced with little data, our deep learning model has a tendency to over fit. The data augmentation techniques is used to increase the data set in order to overcome this problem. This stratergy uses 5-fold cross- validation and our model is able to discriminate objects with 92.44% classification accuracy. © 2023 IEEE.

关键词： Image classification

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Design and implementation of engineering integrated practical training management system under the background of engineering education 24

Design and implementation of engineering integrated practica...

引用

5th international conference on computer science and Management technology, ICCSMT 2024

作者： Xue, Tianbao Lan, Quanxiang School of Mathematics and Computer Science Panzhihua University Sichuan Panzhihua China

ISBN: (纸本)9798400709999

With the promotion of global economic integration, internationalised engineering education has become an important way for colleges and universities to improve their teaching quality and international competitiveness. In order to cultivate students' ability to solve complex engineering problems, many colleges and universities adopt the mode of integrated practical training projects. However, this model has the characteristics of long duration, multi-stage tasks, multi-dimensional assessment, etc. The use of traditional management methods will lead to management chaos, low teaching efficiency, and is difficult to adapt to modern teaching needs. For this reason, this paper designs and develops an intelligent, automation engineering integrated practical training management system based on B/S architecture. The system adopts SpringBoot, Vue, MySQL and Redis technologies to optimize the management process of the practical training project by automating the management of the project, marking scheme and grade analysis. In addition, the system has real-time performance analysis and feedback functions, which improves the efficiency of teaching management and provides strong support for universities to cultivate composite talents with innovative ability and comprehensive engineering literacy. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Efficiency

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Research on Information Scheduling and Monitoring automation System Based on computer Big Data technology

Research on Information Scheduling and Monitoring Automation...

引用

2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： Shankun, Song Kejun, Xie Haomin, Gu Hongbo, Lu Bin, Li Anhui Jiyuan Software Co. Ltd Anhui Hefei China

ISBN: (纸本)9798350309614

An integrated monitoring system for power dispatching control for power market is proposed. The logical structure, software structure and configuration structure are analyzed. The software and hardware monitoring of power dispatching automation business system is proposed. The targets to be monitored include multiple operating systems, multiple service systems, and various network security devices. Simulation analysis shows that this method can monitor and diagnose the working state of automatic device in real time. The system can detect all kinds of problems of the equipment in real time and issue alarms in different forms so that maintenance personnel can quickly take appropriate measures when they encounter problems. © 2023 IEEE.

关键词： comprehensive monitoring data acquisition Electric power dispatching on-line monitoring of equipment status remote maintenance send an alarm

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