{"title":"Exploration of University Students’ Mobility Behavior on Campus","authors":"Benyou Wang, Sihai Zhang, Xia Peng, Li Gu","doi":"10.1145/3448734.3450902","DOIUrl":"https://doi.org/10.1145/3448734.3450902","url":null,"abstract":"It is a subject worthy of being studied to predict human mobility through the big data of human movement trajectory. The prediction has been widely used in many fields. In this subject, we record and analyze the movement trajectory of students on campus during their university years with a purpose to make a prediction on mobility based on Markov chain models. We explore from the Campus Smart Card of the university, which records most of the activities of a university students on campus, and locks its position. Specifically, our data set include about 16.8 million consuming logs came from 4,741 students, they study at school from Sept, 2015 to June, 2019. The predictability differences among different students are smaller than those of individuals in Call Detail Records (CDR) data, which means that students seem more predictable. We also make predictions based on Markov chains model of different orders and find that high order Markov chains have better performance, although the inherent reason for this needs further research. Our work provides sufficient support in predicting human mobility area.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"336 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132248442","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":"An integration system of AI cars detection with enclosed photogrammetry for indoor parking lot","authors":"Haoxuan Li, Weihong Wu, Yingze Li","doi":"10.1145/3448734.3450893","DOIUrl":"https://doi.org/10.1145/3448734.3450893","url":null,"abstract":"Vehicles localization in a complex built indoor parking lot (e.g. underground parking lot, multistorey parking lot) where the GPS signal is hard to be received is one of the critical tasks for establishing Smart parking system. This research deals with designing a vehicles localization system by using stationary cameras around the indoor parking lot based on AI cars recognition technology integrated with close-range photogrammetry. The test field is located at the parking lot behind the writer's yard, and the main experiment objects are dwellers’ cars. The novel system employs two wireless cameras to shoot the real-time parking lot of photos from the different position for cars detection based on YOLOv3 model. The relative distance between cars and cameras is determined by photogrammetry algorithm by building up stereo pairs of specified cars position between two images with the Oriented FAST and Rotated BRIEF (ORB) feature points. The experiment result shows that the Yolov3 performs relatively well from time-costing and precision perspectives. However, the precision of real-site cars localization initialized by enclose-range photogrammetry algorithm is affected by image noise and the lighting condition intensively. Furthermore, due to the lack of on-site control point and Real-time kinematic (RTK) devices, this project does not convert the local coordinate into the geodetic coordinate system, and this needs to be improved in future research. In conclusion, the integration of Convolutional Neural Network and close-range photogrammetry provide an effective solution for cars positioning under an enclosed scenario with a relatively low budget.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132528522","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}
Xiaoqian Nie, Bingqi Wang, Peng-Fan Yan, Binbin Wu, Chengshuai Gao
{"title":"Key Point Defense and Target Threat Analysis Based on Data Fusion","authors":"Xiaoqian Nie, Bingqi Wang, Peng-Fan Yan, Binbin Wu, Chengshuai Gao","doi":"10.1145/3448734.3450849","DOIUrl":"https://doi.org/10.1145/3448734.3450849","url":null,"abstract":"In order to be able to timely and effectively protect and dispose of the targets invading the main place, target threat assessment becomes an important part of the command and control process. The purpose of threat assessment is to conduct comprehensive evaluation based on various characteristics of the target on the basis of target identification. The target threat degree is the data obtained from the comprehensive determination of the intrusion target by the ground protection system, and is an important basis for handling the detection target in the ground security prevention and control work.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114545072","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":"The realization of a storage management system based on flash memory","authors":"Huizhong Liu","doi":"10.1145/3448734.3450899","DOIUrl":"https://doi.org/10.1145/3448734.3450899","url":null,"abstract":"Aiming at the NAND Flash which has been widely used in the storage management of electronic products, this paper designs a file system SxsFFS, discusses the realization of direct addressing algorithm, and proposes concepts of establishing node tree, variable bandwidth of bottom node, etc. It realizes flexible and variable direct addressing to different types of capacity flash memory, and also briefly introduces how to increase the direct addressing range of the file system by establishing a page array. In addition, this paper introduces the design and implementation of block collection and wear-leveling in detail, and designs a dynamic wear-leveling algorithm and a static wear-leveling algorithm respectively according to the different update frequency of block data.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132730898","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":"Non-contact measuring device of object size and shape based on OPENMV","authors":"Qi Hu","doi":"10.1145/3448734.3450850","DOIUrl":"https://doi.org/10.1145/3448734.3450850","url":null,"abstract":"This system takes STM32F103 as the MCU, combines OPENMV image processing module, two-dimensional pan tilt, laser ranging module, key input module, TFTLCD display module and acousto-optic module to design a non-contact measuring device of object size and shape. The device uses OPENMV, STM32 MCU and Two dimensional pan tilt to form a closed-loop feedback control system. According to the feedback information of OPENMV image processing, STM32 uses PID algorithm to control the steering gear to correct the pitch angle and heading angle, so that the OPENMV camera is facing the center of the object. Openmv continues image processing to identify the shape of the object. The laser ranging module measures the distance between the object and the measured object. Finally, the binomial curve equation fitted by MATLAB data and related data measures the size of the object. Through the actual test, the system has good performance and stability.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132756670","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":"Study on design of acupoint information database for Mongolian medicine","authors":"Yongqing Zhao, Chunrong Wang, Meirong Bao","doi":"10.1145/3448734.3450810","DOIUrl":"https://doi.org/10.1145/3448734.3450810","url":null,"abstract":"With the development of computer network technology, all walks of life have realized informatization, while the pace of Mongolian medicine digitization and informatization is relatively slow. Acupoints of Mongolian medicine is an important part of traditional Mongolian medicine therapy. Teachers and clinical workers of traditional Mongolian medicine therapy must master all information related to the acupoints of Mongolian medicine, such as specific location, specific treatment operation method, indications and function, and so on. In order to get people to quickly and comprehensively search the information of Mongolian medicine acupoints, we preliminarily collected and counted the text information and picture information of acupoints for acupuncture therapy and moxibustion therapy in Mongolian medicine, and established a Mongolian medicine acupoints information database. On the basis of Mongolian medicine acupoint information database, we designed a Mongolian medicine acupoint information search system with perfect search and display function. This research will lay a foundation for the systematization and standardization of acupoints in Mongolian medicine, and play a certain role in sorting out, protecting and inheriting the essence of Mongolian medicine culture, as well as in the digital development of Mongolian medicine. This study will be a basis for the realization of the curative effect identification system of Mongolian medicine acupuncture and moxibustion therapy for various difficult and miscellaneous diseases. This study will play a foundation for the intelligent of traditional Mongolian medicine treatment.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132907181","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":"Evaluation of College English Teaching Quality Based on Particle Swarm Optimization Algorithm","authors":"Kanghua Gao","doi":"10.1145/3448734.3450831","DOIUrl":"https://doi.org/10.1145/3448734.3450831","url":null,"abstract":"Teaching quality evaluation is an important part of teaching management. It is an important tool to improve teaching quality and school operation efficiency. Carrying out quality evaluation with teachers' classroom teaching as the object and students, experts and peers as the main body is the key link in the implementation of quality evaluation. This paper aims to study the evaluation of college English teaching quality based on particle swarm first algorithm. Based on the particle optimization algorithm, this paper divides the factors that affect the quality of university teaching into \"causal\" two types. Based on the evaluation of the entire system, combined with the application of analytic hierarchy process, various factors are revised layer by layer according to the status and degree of influence on the system. The weight can reduce the subjective level of the statistical average method; at the same time, the quality of teaching is a Comprehensive indicators, introducing the concept of evaluation indicators to provide new ideas for college teaching quality evaluation. The experimental results of this paper show that this paper introduces the particle swarm optimization algorithm to improve it. Through experiments and comparisons, it proves that the constructed model is accurate for teaching quality evaluation and has good practical significance in improving teaching management.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132896948","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":"A Radar and Monocular Camera-based Fusion Approach for Pedestrian Detection","authors":"Yaofu Huang, Z. Tian, Qing Jiang","doi":"10.1145/3448734.3450461","DOIUrl":"https://doi.org/10.1145/3448734.3450461","url":null,"abstract":"Since single sensor has its own shortcomings in pedestrian detection, fusion detection of using radar and camera sensor is currently an effective solution for unmanned driving. This paper proposes a new strategy based on the fusion of radar and camera. First, Kalman filter is used to filter out the invalid data and measurement noise in the radar measurement process, and the radar candidate rectangle is generated based on the target distance and the calibration of the radar/camera sensor. For the camera, extract the foreground information in the video frame and use the information about human area and aspect ratio to screen out suitable pedestrian motion rectangle. Finally, the features are extracted from the candidate rectangle fused by radar and camera and the optimized XGBoost classifier is apply to implement pedestrian recognition. The experimental results show that the detection time of pedestrian after fusion is reduced, and the average precision is increased by 19.41%.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839128","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":"A Decentralized Copyright Protection Method Supporting Validity Period Control","authors":"Bo Geng, Ning Li, Xue Feng, Yunmei Shi","doi":"10.1145/3448734.3450776","DOIUrl":"https://doi.org/10.1145/3448734.3450776","url":null,"abstract":"In response to the requirements of digital copyright protection measures that ensure digital content security and support validity period management, the paper introduces a decentralized copyright protection solution that incorporates validity period control. Firstly, we propose to establish the digital copyright protection architecture based on the consortium blockchain, which ensures the authenticity of transaction information by leveraging the merits of blockchain in terms of decentralization and immutability. Secondly, a validity period control model is proposed to solve current issues in the field by applying InterPlanetary File System address mapping to digital content storage and control of mapped addresses. As the last step, content distribution and usage protocols are designed based on the above methods, which adopt asymmetric encryption methods to help eliminate the reliance on third-party key management while ensuring the security of digital contents. Experimental results prove that our solution can realize effective decentralized copyright protection with support for copyright validity period control, which is expected to have good prospects in real-world applications.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128776862","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 Comprehensive Potato Classification Based on Support Vector Machine","authors":"Wenhu Nan, Yanjun Liu, Shuzhen Zhang","doi":"10.1145/3448734.3450929","DOIUrl":"https://doi.org/10.1145/3448734.3450929","url":null,"abstract":"In order to identify the potato accurately and quickly, this paper uses saturation and support vector machine to classify potatoes. Firstly, we collect 90 potato image samples, and then use the method of extracting the S component to filter out the unusable potato targets due to budding. Secondly, the R, G and B components are extracted and to perform R+G which is gray-scaled. The point noise is removed through corrosion expansion, then we use the boundary function for finding the image boundary. Finally, according to the rectangle degree and other parameters as the shape feature, the support vector machine is trained to classify the potatoes. The experimental results show that this method can classify potatoes effectively in potato shape and budding, it meets the demand for potato commercial production.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128844386","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}