In view of the increasing data volume and the increasingly difficult data analysis in the power industry, an intelligent and efficient analysis and mining framework for power big data is designed to quickly obtain valuable information. Analyze the overall framework of the power big data center, mainly including the service layer, verification layer, data source layer, and feature analysis layer. In addition, through analyzing the process of data mining, it is found that the business needs to be strengthened And realize expansion. The framework design of power big data intelligent analysis and mining technology mainly includes power market demand, customer analysis, high-performance data analysis, service system, data security governance and other modules. Through the analysis of an example of intelligent power big data mining, the analysis results show that the intelligent power data mining has good analysis effect and high mining accuracy
{"title":"Research on intelligent and efficient analysis and mining technology of power big data based on multi-source data filtering analysis","authors":"Zhengxiong Mao, Fu Bao, Yuan Tian, Hang Zhang","doi":"10.1117/12.2671519","DOIUrl":"https://doi.org/10.1117/12.2671519","url":null,"abstract":"In view of the increasing data volume and the increasingly difficult data analysis in the power industry, an intelligent and efficient analysis and mining framework for power big data is designed to quickly obtain valuable information. Analyze the overall framework of the power big data center, mainly including the service layer, verification layer, data source layer, and feature analysis layer. In addition, through analyzing the process of data mining, it is found that the business needs to be strengthened And realize expansion. The framework design of power big data intelligent analysis and mining technology mainly includes power market demand, customer analysis, high-performance data analysis, service system, data security governance and other modules. Through the analysis of an example of intelligent power big data mining, the analysis results show that the intelligent power data mining has good analysis effect and high mining accuracy","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"4 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123271208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Xiao, Lixin Liu, Shanshan Tian, Angwei Li, W. Zheng
Based on the trend research of market supervision scheduling automation, this study analyzes the function of establishing market supervision scheduling automation operation and maintenance supervision system, expounds the application value of market supervision scheduling automation operation and maintenance supervision system, puts forward the key points of market supervision scheduling automation operation and maintenance supervision system design, provides the key points of market supervision application scheduling automation operation and maintenance supervision system application, It is hoped that through the evaluation of dispatching automation operation and maintenance supervision system, the design and application of dispatching automation operation and maintenance supervision system will be strengthened, and a dispatching automation operation and maintenance supervision system suitable for the actual development of market supervision will be established, which will be helpful for the popularization and application of dispatching automation operation and maintenance supervision system in market supervision.
{"title":"Operation and maintenance management and emergency response of data protection system in market supervision","authors":"M. Xiao, Lixin Liu, Shanshan Tian, Angwei Li, W. Zheng","doi":"10.1117/12.2672641","DOIUrl":"https://doi.org/10.1117/12.2672641","url":null,"abstract":"Based on the trend research of market supervision scheduling automation, this study analyzes the function of establishing market supervision scheduling automation operation and maintenance supervision system, expounds the application value of market supervision scheduling automation operation and maintenance supervision system, puts forward the key points of market supervision scheduling automation operation and maintenance supervision system design, provides the key points of market supervision application scheduling automation operation and maintenance supervision system application, It is hoped that through the evaluation of dispatching automation operation and maintenance supervision system, the design and application of dispatching automation operation and maintenance supervision system will be strengthened, and a dispatching automation operation and maintenance supervision system suitable for the actual development of market supervision will be established, which will be helpful for the popularization and application of dispatching automation operation and maintenance supervision system in market supervision.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124826823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to improve the efficiency of marine garbage classification, this study first enhances and processes the data set, then uses ResNet50 network model and modifies its lowest layer of network, and finally obtains the accuracy in different cycles through training and verification. The results show that the accuracy of the network model trained in this study is as high as 96% under the most stable cycle.
{"title":"Classification of marine garbage image based on ResNet50 network","authors":"Miao Dai, Youfu Jiang, Bei Pan","doi":"10.1117/12.2671344","DOIUrl":"https://doi.org/10.1117/12.2671344","url":null,"abstract":"In order to improve the efficiency of marine garbage classification, this study first enhances and processes the data set, then uses ResNet50 network model and modifies its lowest layer of network, and finally obtains the accuracy in different cycles through training and verification. The results show that the accuracy of the network model trained in this study is as high as 96% under the most stable cycle.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116801868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
China, with a large population, is a big producer and seller of agricultural and sideline products in the world, so how to sort them quickly and accurately is very important. In order to solve the problem of high-speed image acquisition and processing in color sorter, TMS320F2812 is used as the core processing chip, and the image processing algorithm is improved by the mixed mode of C language and assembly language. The color sorter control system based on DSP is designed by sorting execution module. It has been proved that the system can meet the design requirements of various performance indexes and has strong practicability.
{"title":"Control system of color sorter based on DSP","authors":"Yuling Liu","doi":"10.1117/12.2671306","DOIUrl":"https://doi.org/10.1117/12.2671306","url":null,"abstract":"China, with a large population, is a big producer and seller of agricultural and sideline products in the world, so how to sort them quickly and accurately is very important. In order to solve the problem of high-speed image acquisition and processing in color sorter, TMS320F2812 is used as the core processing chip, and the image processing algorithm is improved by the mixed mode of C language and assembly language. The color sorter control system based on DSP is designed by sorting execution module. It has been proved that the system can meet the design requirements of various performance indexes and has strong practicability.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128210884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Image processing is one of the most popular technology these days and is widely used in industrial robots and other fields. In the process of working with industrial robots, it is often necessary to locate the target through image processing technology and then process it later. In the process of object positioning, operators not only need its position in the image, but also the distance from the lens, and even the direction in which it moves. Compared to other object positioning methods this paper provides an object identification method that can find objects in the picture that are different from the background color precisely and calculate the distance from the camera and the direction of movement of the object. The method used black rectangle geometry on a white background as probe objects, and mainly used python based Opencv's algorithm for image processing. The experiment finally confirmed that the location, distance, and direction of motion of the target geometry can be well determined by this method.
{"title":"Moving object detection and distance calculation based on Opencv","authors":"Yandong Liu","doi":"10.1117/12.2672207","DOIUrl":"https://doi.org/10.1117/12.2672207","url":null,"abstract":"Image processing is one of the most popular technology these days and is widely used in industrial robots and other fields. In the process of working with industrial robots, it is often necessary to locate the target through image processing technology and then process it later. In the process of object positioning, operators not only need its position in the image, but also the distance from the lens, and even the direction in which it moves. Compared to other object positioning methods this paper provides an object identification method that can find objects in the picture that are different from the background color precisely and calculate the distance from the camera and the direction of movement of the object. The method used black rectangle geometry on a white background as probe objects, and mainly used python based Opencv's algorithm for image processing. The experiment finally confirmed that the location, distance, and direction of motion of the target geometry can be well determined by this method.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130061202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhouzhou Wu, Weiwei Qin, Qiqi Lu, LongKun Wei, Long Wang
There are many security risks in the data exchange of the Internet of Things. Therefore, this paper effectively integrates various technologies to design IoT security access gateway authentication to ensure the secure operation of IoT. The IoT gateway authentication hardware is divided into data collection, processing, access and power supply management modules to improve the security of IoT authentication and the efficiency of data processing. In the software design, the terminal device access identity authentication is realized through the communication protocol, and the identity authentication technology is analyzed to strengthen the security awareness of the network nodes. Test experiments show that in the face of different network problems, it can play a role in ensuring network security access and achieve more convenient, smarter, and more autonomous management.
{"title":"IoT security access gateway authentication design","authors":"Zhouzhou Wu, Weiwei Qin, Qiqi Lu, LongKun Wei, Long Wang","doi":"10.1117/12.2671841","DOIUrl":"https://doi.org/10.1117/12.2671841","url":null,"abstract":"There are many security risks in the data exchange of the Internet of Things. Therefore, this paper effectively integrates various technologies to design IoT security access gateway authentication to ensure the secure operation of IoT. The IoT gateway authentication hardware is divided into data collection, processing, access and power supply management modules to improve the security of IoT authentication and the efficiency of data processing. In the software design, the terminal device access identity authentication is realized through the communication protocol, and the identity authentication technology is analyzed to strengthen the security awareness of the network nodes. Test experiments show that in the face of different network problems, it can play a role in ensuring network security access and achieve more convenient, smarter, and more autonomous management.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121760840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the in-depth development of science and technology, computer based multi disciplines have become the focus of research. Cloud computing is a virtual data information mode, which not only reduces the computational complexity of the server, but also saves a lot of time. Therefore, cloud computing has become the most important research topic. In the modern management of enterprises, accounting informatization is an indispensable part of improving the operating efficiency of enterprises, which will constantly improve financial management, efficiency and supervision. Cloud computing is a mode of virtualizing data through software services, which is a related method of service related data computing without related hardware facilities. Through cloud computing, enterprises can store business information in remote service terminals, which will continuously improve the efficiency of enterprise processing. At present, cloud computing has become a new way of accounting informatization, which has replaced the traditional way of accounting informatization. As data virtualization becomes the norm, cloud computing has become the main line of system services, which will be more conducive to resource sharing of accounting informatization. First, this paper analyzes the related concepts of cloud computing. Then, this paper analyzes the influencing factors of accounting informatization, including internal and external environmental factors. Then, this paper analyzes the advantages of accounting informatization. Finally, some optimization measures are proposed
{"title":"Research on application mode of intelligent accounting information based on cloud computing","authors":"Wenhua Li","doi":"10.1117/12.2672186","DOIUrl":"https://doi.org/10.1117/12.2672186","url":null,"abstract":"With the in-depth development of science and technology, computer based multi disciplines have become the focus of research. Cloud computing is a virtual data information mode, which not only reduces the computational complexity of the server, but also saves a lot of time. Therefore, cloud computing has become the most important research topic. In the modern management of enterprises, accounting informatization is an indispensable part of improving the operating efficiency of enterprises, which will constantly improve financial management, efficiency and supervision. Cloud computing is a mode of virtualizing data through software services, which is a related method of service related data computing without related hardware facilities. Through cloud computing, enterprises can store business information in remote service terminals, which will continuously improve the efficiency of enterprise processing. At present, cloud computing has become a new way of accounting informatization, which has replaced the traditional way of accounting informatization. As data virtualization becomes the norm, cloud computing has become the main line of system services, which will be more conducive to resource sharing of accounting informatization. First, this paper analyzes the related concepts of cloud computing. Then, this paper analyzes the influencing factors of accounting informatization, including internal and external environmental factors. Then, this paper analyzes the advantages of accounting informatization. Finally, some optimization measures are proposed","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116122850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuchen Gong, Lei Rao, Guangyu Fan, Niansheng Chen, Xiaoyong Song, Songlin Cheng, Dingyu Yang
When the Visual-Inertial Odometry (VIO) is started, its Inertial Measurement Unit (IMU) lacks acceleration incentive, which will result in poor orientation estimation accuracy during initialization, or even initialization failure. Therefore, a visual priori map-assisted monocular location algorithm based on 3D spatial straight lines is proposed. Firstly, the monocular image data of the surrounding environment were extracted through the Line Segment Detection algorithm (LSD), and high precision 2D line features were selected according to the length of the line and the number of surrounding point features. The 3D spatial lines of the surrounding environment were obtained using the line and surface intersection method. Construct a visual prior map with 3D spatial straight lines. Secondly, the constructed visual prior map is used as the online monocular VIO pose estimation for the global map. Based on the straight-line feature matching algorithm and the 3D space straight line depth information as additional constraints, the 2D straight-line feature in the monocular VIO's current field of vision is matched with the 3D space straight line in the visual prior map. The matching results were used as global constraints to optimize the monocular VIO pose. Tests on EUROC and TUM common data sets show that the 3D spatial straight line based visual prior map can effectively correct the pose during the monocular VIO initialization stage. Compared with the VINS-Mono localization algorithm, this algorithm can effectively improve the pose estimation accuracy during VIO initialization and reduce the overall trajectory positioning error.
{"title":"Visual prior map assisted monocular location algorithm based on 3D spatial lines","authors":"Yuchen Gong, Lei Rao, Guangyu Fan, Niansheng Chen, Xiaoyong Song, Songlin Cheng, Dingyu Yang","doi":"10.1117/12.2671455","DOIUrl":"https://doi.org/10.1117/12.2671455","url":null,"abstract":"When the Visual-Inertial Odometry (VIO) is started, its Inertial Measurement Unit (IMU) lacks acceleration incentive, which will result in poor orientation estimation accuracy during initialization, or even initialization failure. Therefore, a visual priori map-assisted monocular location algorithm based on 3D spatial straight lines is proposed. Firstly, the monocular image data of the surrounding environment were extracted through the Line Segment Detection algorithm (LSD), and high precision 2D line features were selected according to the length of the line and the number of surrounding point features. The 3D spatial lines of the surrounding environment were obtained using the line and surface intersection method. Construct a visual prior map with 3D spatial straight lines. Secondly, the constructed visual prior map is used as the online monocular VIO pose estimation for the global map. Based on the straight-line feature matching algorithm and the 3D space straight line depth information as additional constraints, the 2D straight-line feature in the monocular VIO's current field of vision is matched with the 3D space straight line in the visual prior map. The matching results were used as global constraints to optimize the monocular VIO pose. Tests on EUROC and TUM common data sets show that the 3D spatial straight line based visual prior map can effectively correct the pose during the monocular VIO initialization stage. Compared with the VINS-Mono localization algorithm, this algorithm can effectively improve the pose estimation accuracy during VIO initialization and reduce the overall trajectory positioning error.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134295346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the problems of high modeling complexity and low rendering efficiency of existing visualization methods of real meteorological cloud data, a 3D visualization method of meteorological cloud data based on adaptive far-field grid structure of region of interest is proposed. Methods The region of interest was extracted to generate an adaptive far-field grid structure, which was applied to cloud particle modeling. The fine resolution of the region of interest was kept, and the number of particles in other regions was optimized. Finally, the rendering of 3D cloud images was completed. Simulation results based on WRF model meteorological cloud data show that the above grid structure can speed up rendering and rendering on the basis of ensuring the rendering quality, and can better display the morphology and structural characteristics of real clouds.
{"title":"Meteorological data modeling and 3D visualization based on adaptive grid structure","authors":"Liming Lin, Donghai Huang, Yuda Zhong","doi":"10.1117/12.2671570","DOIUrl":"https://doi.org/10.1117/12.2671570","url":null,"abstract":"Aiming at the problems of high modeling complexity and low rendering efficiency of existing visualization methods of real meteorological cloud data, a 3D visualization method of meteorological cloud data based on adaptive far-field grid structure of region of interest is proposed. Methods The region of interest was extracted to generate an adaptive far-field grid structure, which was applied to cloud particle modeling. The fine resolution of the region of interest was kept, and the number of particles in other regions was optimized. Finally, the rendering of 3D cloud images was completed. Simulation results based on WRF model meteorological cloud data show that the above grid structure can speed up rendering and rendering on the basis of ensuring the rendering quality, and can better display the morphology and structural characteristics of real clouds.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123966752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pedestrian detection technology has high application value in various fields, and deep learning has become a key development direction in computer vision. Human object detection has also shifted from traditional detection algorithms to deep learning. Due to the influence of complex light and obstacles in the station, as well as the occlusions and size changes of passengers, the algorithm must be optimized for these complex scenes. This paper takes pedestrian detection technology as the goal, compares the methods based on human body parts recognition from the concepts and classification of artificial neural networks and deep learning, and profoundly discusses the convolutional neural network based on deep learning. Finally, pedestrian detection algorithms' problems and future trends are compared and discussed.
{"title":"Passenger and pedestrian recognition based on neural networks and deep learning in stations","authors":"Zhiyuan Zhang","doi":"10.1117/12.2672158","DOIUrl":"https://doi.org/10.1117/12.2672158","url":null,"abstract":"Pedestrian detection technology has high application value in various fields, and deep learning has become a key development direction in computer vision. Human object detection has also shifted from traditional detection algorithms to deep learning. Due to the influence of complex light and obstacles in the station, as well as the occlusions and size changes of passengers, the algorithm must be optimized for these complex scenes. This paper takes pedestrian detection technology as the goal, compares the methods based on human body parts recognition from the concepts and classification of artificial neural networks and deep learning, and profoundly discusses the convolutional neural network based on deep learning. Finally, pedestrian detection algorithms' problems and future trends are compared and discussed.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124053556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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