Artificial Intelligence and Big Data Forum最新文献_第5页

Classification of marine garbage image based on ResNet50 network 基于ResNet50网络的海洋垃圾图像分类

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2671344

Miao Dai, Youfu Jiang, Bei Pan

引用次数: 0

Research on intelligent and efficient analysis and mining technology of power big data based on multi-source data filtering analysis 基于多源数据过滤分析的电力大数据智能高效分析挖掘技术研究

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2671519

Zhengxiong Mao, Fu Bao, Yuan Tian, Hang Zhang

引用次数: 2

IoT security access gateway authentication design 物联网安全接入网关认证设计

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2671841

Zhouzhou Wu, Weiwei Qin, Qiqi Lu, LongKun Wei, Long Wang

引用次数: 0

Operation and maintenance management and emergency response of data protection system in market supervision 市场监管中数据保护系统的运维管理和应急响应

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2672641

M. Xiao, Lixin Liu, Shanshan Tian, Angwei Li, W. Zheng

{"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}

引用次数: 0

Control system of color sorter based on DSP 基于DSP的分色机控制系统

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2671306

Yuling Liu

引用次数: 0

Research on application mode of intelligent accounting information based on cloud computing 基于云计算的智能会计信息应用模式研究

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2672186

Wenhua Li

{"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}

引用次数: 1

Moving object detection and distance calculation based on Opencv 基于Opencv的运动目标检测与距离计算

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2672207

Yandong Liu

引用次数: 0

Visual prior map assisted monocular location algorithm based on 3D spatial lines 基于三维空间线的视觉先验地图辅助单目定位算法

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2671455

Yuchen Gong, Lei Rao, Guangyu Fan, Niansheng Chen, Xiaoyong Song, Songlin Cheng, Dingyu Yang

{"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}

引用次数: 0

Face aging on SiGan 面部衰老的迹象

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2671372

Jing Yang, Caizeng Ye, Bei Han, Jilin Qin, Lei Peng

引用次数: 0

Design and development of automatic fault diagnosis system for rotating parts of mining machinery based on artificial intelligence technology 基于人工智能技术的矿山机械旋转部件故障自动诊断系统的设计与开发

Artificial Intelligence and Big Data Forum Pub Date : 2023-03-16 DOI: 10.1117/12.2671871

Hui Song, Gerile Gerile, Shu Cai

{"title":"Design and development of automatic fault diagnosis system for rotating parts of mining machinery based on artificial intelligence technology","authors":"Hui Song, Gerile Gerile, Shu Cai","doi":"10.1117/12.2671871","DOIUrl":"https://doi.org/10.1117/12.2671871","url":null,"abstract":"Based on the BP neural network in the category of artificial intelligence technology, this paper combined with the conventional expert system diagnosis and discrimination method, and completed the construction of automatic fault diagnosis system for rotating parts of mining machinery in ASP.NET environment. Taking the common rotating machinery in mining machinery and equipment as the research object, aiming at the fault characteristics of mining machinery and the difficulties faced by maintenance, such as high difficulty, high cost and high risk factor, the system provides a new comprehensive application solution for the fault diagnosis of rotating machinery with the help of the application advantages of various information technologies. Through data feature extraction, automatic diagnosis, manual diagnosis, data management and other modules in the system, the whole life cycle management of mining machinery and equipment, early warning and treatment of faults, historical data query and other functions are realized. It not only improves the level of health management of mining machinery and equipment, but also establishes a solid guarantee for the safe and stable production of enterprises, and further makes a positive and beneficial attempt for the construction of smart mines in China.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"8 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":"130965820","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}

引用次数: 0