2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)最新文献

{"title":"Research on Data Visualization Design for Police System","authors":"Zeng Xi, Wang Chunyu","doi":"10.1109/AIID51893.2021.9456583","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456583","url":null,"abstract":"The increasingly complicated police work requires increasing information collection, analysis and transmission of the daily police system. From the design point of view, this paper intends to study how to improve the effectiveness and efficiency of data information transmission in police system. By analyzing the objectives and requirements of data information transmission in police system, from the perspective of user experience, the data visualization design model is optimized, the data visualization design principles are deduced, and the laws of human vision and cognition are combined to study the data visualization design strategy of police system to guide design practice. The verification results show that from the perspective of user experience, data visualization design practice can be effectively guided by the design scheme combining human vision and cognitive laws. The design practice process and results show that police data information can be efficiently conveyed, the user experience of police staff can be enhanced, and the efficiency of police work can be improved, based on the user's visual and cognitive laws of data visualization design.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132453359","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}

{"title":"Research on automatic test system for elevator balance coefficient","authors":"Yanbin Zhang, Shuangchang Feng, Jie Chen, Kuangye Niu","doi":"10.1109/AIID51893.2021.9456503","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456503","url":null,"abstract":"With the rapid advancement of urbanization in China, the newly installed elevator equipment has increased year by year. The number of elevators is increasing, and passengers pay more and more attention to the safety of elevators. Elevator balance coefficient is an important prerequisite for the safe operation of elevators. If the balance factor does not meet the standard requirements, serious personal injury accidents may occur. Although the current commonly used balance coefficient measurement method is widely used, their shortcomings are obvious, especially for the measurement of the balance coefficient of elevators without machine room. The current method cannot mark the middle position, the no-load power method cannot measure the speed, and the wire rope tension method is out of the way. In this paper, the author introduces an automatic test system for elevator balance coefficient, mainly from three aspects of the current balance coefficient measurement status, the working principle and advantages of the balance coefficient automatic test system and expounds the use method and application value of the system.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128344647","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}

{"title":"Human behavior recognition based on convolutional long and short time memory network","authors":"Chuanlin Zhang, K. Cao, Mengge Huang, Tao Deng","doi":"10.1109/AIID51893.2021.9456561","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456561","url":null,"abstract":"Convolutional long and short time memory network is a kind of fusion model, which inherits the excellent spatial feature extraction ability of convolutional neural network, and can effectively complete the processing and classification of time series data by using the memory ability of long and short time memory network to historical data and the unique gating mechanism. This paper uses the human behavior data set collected by the Wireless Data Mining Laboratory (WISDM) of Fordham University to predict and classify the six daily human behaviors: walking, jogging, going upstairs, going downstairs, sitting and standing. By comparing with long and short time memory network, convolutional neural network and other deep learning models, the experimental results show that the convolutional long and short time memory network has the best performance among them, which the accuracy reaches 97.43% and has a great improvement in real-time and accuracy.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381362","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}

{"title":"Risk Analysis of CAN Bus and Ethernet Communication Security for Intelligent Connected Vehicles","authors":"Yanan Zhang, Tianyu Liu, Hao Zhao, Chao Ma","doi":"10.1109/AIID51893.2021.9456534","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456534","url":null,"abstract":"With the continuous development and upgrading of Intelligent Connected Vehicles (ICV), the on-board network communication of intelligent connected vehicles has been gradually transformed from the traditional CAN bus to the complex on-board communication network such as CAN-FD, FlexRay and on-board Ethernet. However, while the complex network architecture brings the communication performance greatly improved, it also brings the hidden cyber security risk. This paper mainly studies the security of different buses from the perspective of vehicle information security, proposes the protection method of CAN bus and vehicle Ethernet, and carries on the protection design verification to them.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134537039","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}

{"title":"Design and Implementation of Regional Food Distribution Platform Based on Big Data","authors":"Wei Wei, Hu Liang, Beibei Zhang, Robertas Damaševičius, R. Scherer","doi":"10.1109/AIID51893.2021.9456537","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456537","url":null,"abstract":"In recent years, the rapid development of big data has made people's daily life very convenient, and at the same time, tasting all kinds of food has become an important activity for people to travel. Due to the vast territory of China, there are many types of cuisines with great differences, it is very important for travelers to understand the special regional cuisines in the area. This project aggregates regional food data based on big data, and provides tourists with efficient, stable and professional data retrieval and analysis services through a visual data interface, and provides intuitive, accurate, and real-time data support for the decision-making of finding characteristic regional food. This thesis first conducted a relevant understanding of big data and the overall situation of regional cuisine, analyzed the distribution of food in the sub-provincial city of Xi'an, explored the research methods and implementation methods of related projects at home and abroad, based on this, summarized the research of this project the goal. At the same time, the focus of this project is to analyze the price, score and popularity of regional food data analysis in my country, and to summarize, proofread and organize the data obtained before into standard and standardized data. Through the classification of basic information, the visual analysis and display of data is realized, and the key data urgently needed by decision makers are extracted from it. To analyze the needs of decision makers, establish corresponding strategies and measures to improve the quality of data services. The establishment of this system provides a useful supplement and improvement to the existing industry data analysis system. The system is mainly divided into six modules, which are data collection, data review, data summary, and visual data display modules. Among them, data collection includes crawling relevant data from the Internet and retrieving key data. The data audit function includes classifying the crawled data and reviewing its effectiveness. Data aggregation includes summarizing the filtered data in an excel table and passing Excel generates a visual chart that you want to know, and at the same time generates a word cloud by associating certain two related items in the data in the excel table. The visual data display module can more clearly show the results of data analysis to users, so that users can make better decisions. The visualization data uses AmChart Flash charts. The implementation of this system adopts Django Python Web framework, the development language chooses Python, the development tool adopted is PyCharm, and the database tool adopts MySQL.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132133244","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}

{"title":"Research on Logistics Transportation of Detection and Segmentation Based on Deep Learning","authors":"Dun Liu, Zaichong Zheng","doi":"10.1109/AIID51893.2021.9456490","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456490","url":null,"abstract":"Nowadays, logistics transportation plays an increasingly important role in our life, and higher transportation efficiency has always been the goal of people. People can perform more efficient vehicle scheduling according to the quantity of goods. Therefore, obtaining the quantity of goods that needs to be transported is the key to improve the efficiency of logistics transportation. At present, the amount of goods can be counted by monitoring the change of objects on the pallet through artificial intelligence. Therefore, this paper uses the YOLACT deep learning method in artificial intelligence to study the detection and segmentation of the pallet in the carriage. Since human movement will affect the detection of goods and in order to exclude the influence of pallets outside the carriage, this paper also studies the detection and segmentation of the human body and the ground inside the carriage. Firstly, a data set for the detection and segmentation of the pallet, human body and ground inside the carriage is established, and then the training set of random segmentation is used for effective training to a certain extent, and the corresponding verification set is verified. After the training, the model is tested accordingly. The detection results show that the reasoning speed of YOLACT with resnet50 as the backbone is 14.6FPS and mAP is 27.2 under the condition of GTX 1660Ti.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"18 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114025268","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}

{"title":"Research on Passenger Flow Path Reduction of Urban Rail Transit Based on AFC Data and Transfer Estimation","authors":"Y. Jiang, Wanyang Zuo, Yangchenmiao Cui","doi":"10.1109/AIID51893.2021.9456494","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456494","url":null,"abstract":"In this paper, the acquisition of AFC system in the data of total passenger travel time into walking time, the train running time, train time, transfer time and waiting time to five parts, using the mean estimate the five unknown variables, at the same time using the A * pathfinding algorithm traverses all paths between the OD and calculate the travel time of the theoretical value, the closest to real passengers travel long is one of the most matching paths. The research on the passenger flow path reduction model of urban rail transit network helps managers master the real-time distribution of passenger flow in the network and further improves the quality of the train operation plan of urban rail transit network.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121302664","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}

{"title":"Research on construction site dust detection based on prior knowledge MinMax k-Means","authors":"Qiao Jiang, Kun Zhang","doi":"10.1109/AIID51893.2021.9456468","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456468","url":null,"abstract":"With the rapid development of urbanization, promoting the process of industrialization has become the best breakthrough to accelerate economic development. The number of construction projects under construction is increasing gradually. In recent years, people are paying more and more attention to the impact of atmospheric particulate matter on the environment and human health. Construction dust is a by-product of open-air construction activities, which does great harm to the ecological environment and human health. It contributes 13.1 % [1]to urban PM2.5 pollution and is also one of the main sources of atmospheric pollutant PM10[2]. In order to timely detect construction site dust and improve the ability of government supervision departments to monitor construction dust pollution, a construction site dust detection method based on prior knowledge Minmax K-means clustering algorithm was proposed. In the process of clustering, the weight which is proportional to the variance in the cluster can be automatically corrected, and the priori knowledge is introduced to deal with the problem that the clustering results are sensitive to the initial position of the clustering center. In addition, the preprocessing adopts the method that the mean value of image blocks with dust is larger than that without dust, and scans the mean value matrix from vertical and horizontal directions to judge whether the image blocks have dust.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129318627","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}

{"title":"Development of A Smart Lock System Based on Internet of Things and Cloud Platform","authors":"Meigui Yin, Juan Huang, Hailang Chen","doi":"10.1109/AIID51893.2021.9456578","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456578","url":null,"abstract":"Aiming at the problems of smart lock, such as hidden danger and the inability to remotely monitor and manage the lock, the author develop a secure smart lock system based on the Internet of Things and cloud platform. The system consists of a cloud server, a mobile phone APP and a smart lock. Smart lock mainly includes STM32 main control chip, digital keyboard module and WIFI module. The digital keyboard module uses infrared light signal to communicate with STM32, and supports digital keyboard password unlocking. The module is connected to the cloud platform of the Internet. The APP is connected with the cloud platform to realize the remote control and management of the smart lock. In order to improve the reliability of intelligent lock system, the fault tolerant mechanism of hardware and the secure key scheme of software are designed. After normal operation and abnormal test, the system is safe and reliable, suitable for smart home door locks, etc.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129247321","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}

{"title":"Bank Business Data Analysis System Based on FPGA Technology","authors":"Ji Meilin, Y. Liying, Cao Qixuan","doi":"10.1109/AIID51893.2021.9456536","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456536","url":null,"abstract":"As a technology of programmable logic devices, FPGA has the advantages of low power consumption, multithreading parallel data processing, high integration, high speed and so on. It is a very effective acceleration tool. In recent years, with the rapid development of China's economy, the amount of data in the financial industry is more and more huge, the update is faster and faster, the fault tolerance rate is lower and lower, so the popularity of FPGA in the financial industry is imminent. In this paper, an iterative placement algorithm based on resource negotiation is adopted, and a fast routing algorithm based on new rerouting strategy and maze router is proposed, and a parallel FPGA routing algorithm based on multi-core processor is proposed for chip parallel processing data. Finally, this paper expounds the application of FPGA in the financial field from three aspects: the acquisition of real-time financial information on the network, the transmission of financial information and the processing mode of information, which improves the speed and accuracy of information acquisition and effectively promotes the development of socialist economy.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114623965","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}