电子科技大学学报Pub Date : 2020-05-01DOI: 10.12178/1001-0548.2_2020033
Xu Xiao-ke, Wen Cheng, Z. Guang-yao, Sun Hao-chen, Liu Bo, Wang Xian-wen
{"title":"The Geographical Destination Distribution and Effect of Outflow Population of Wuhan When the Outbreak of COVID-19","authors":"Xu Xiao-ke, Wen Cheng, Z. Guang-yao, Sun Hao-chen, Liu Bo, Wang Xian-wen","doi":"10.12178/1001-0548.2_2020033","DOIUrl":"https://doi.org/10.12178/1001-0548.2_2020033","url":null,"abstract":"In this paper, we provide a statistical analysis of population movements leaving Wuhan based on mass population movement information which is collected by geographic services of Tencent and Baidu. Firstly, we find that the five million people leaving Wuhan before the official announcement that they will close the exits are not much different from the normal population movement during the previous Spring Festival travel rush. However, small portion of the population poured out of Wuhan in the last period before the exits closed. Secondly, according to statistics of the destination cities of the outflow population from Wuhan starting from 2020, we find that the destination distribution of folks in 2020 was basically same as that in previous years. Finally, the influence of the population leaving Wuhan on epidemic spread is analyzed. We find that the role of incubation period must be considered when measuring this influence. This study is helpful for relevant personnel to grasp the speed of epidemic spread, assess the risk of epidemic, and provides reference to predict and stop disease spreading.","PeriodicalId":35864,"journal":{"name":"电子科技大学学报","volume":"49 1","pages":"324-329"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48881599","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}
电子科技大学学报Pub Date : 2015-01-25DOI: 10.3969/J.ISSN.1001-0548.2015.01.003
Xiaofeng Li, L. Zeng, Jin Xu, Shiping Ma
{"title":"Single Image Super-Resolution Based on the Feature Sign Method","authors":"Xiaofeng Li, L. Zeng, Jin Xu, Shiping Ma","doi":"10.3969/J.ISSN.1001-0548.2015.01.003","DOIUrl":"https://doi.org/10.3969/J.ISSN.1001-0548.2015.01.003","url":null,"abstract":"Recently, the super-resolution methods based on sparse representation has became a research hotpot in signal processing. How to calculate the sparse coefficients fast and accurately is the key of sparse representation algorithm. In this paper, we propose a feature sign method to compute the sparse coefficients in the search step. Inspired by the compressed sensing theory, two dictionaries are jointly learnt to conduct super-resolution in this method. The feature sign algorithm changes the non-convex problem to a convex one by guessing the sign of the sparse coefficient at each iteration. It improves the accuracy of the obtained sparse coefficients and speeds the algorithm. Simulation results show that the proposed scheme outperforms the interpolation methods and classic sparse representation algorithms in both subjective inspects and quantitative evaluations.","PeriodicalId":35864,"journal":{"name":"电子科技大学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70067751","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}
电子科技大学学报Pub Date : 2015-01-01DOI: 10.3969/J.ISSN.1001-0548.2015.02.014
Kuojun Yang, Shulin Tian, Jinpeng Song, Jiang Jun
{"title":"A three-dimensional mapping method based on fragmentation","authors":"Kuojun Yang, Shulin Tian, Jinpeng Song, Jiang Jun","doi":"10.3969/J.ISSN.1001-0548.2015.02.014","DOIUrl":"https://doi.org/10.3969/J.ISSN.1001-0548.2015.02.014","url":null,"abstract":"The application of three-dimensional mapping technology has improved the waveform capture rate of digital storage oscilloscopes(DSO), however it does not eliminate the dead time of DSO. In this research, a new 3D-imaging method, fragmentation and centralized mapping, is proposed. It divides high-speed large capacity dynamic memory(DDR3 SDRAM) into several regions based on the time-base. In each region, the waveforms with the same triggering condition are stored, and the waveforms will be post-processed with three-dimensional mapping Technology. Dual-port RAM based fast waveform mapping technology and parallel waveform mapping technology decrease the mapping time greatly. This method guarantees high waveform capture rate and enable larger data storage capacity. It also enables seamless acquisition for the duration of each stored waveform. By mathematical modeling, it can be proven that our system can capture the sporadic transient event in shorter time. Through double pulse test method, it can be demonstrated that the highest capture rate of the system is measured to be 6 250 000 wfms/s. After analysis, it is obtained that the ratio of dead time is reduced to 43.86%.","PeriodicalId":35864,"journal":{"name":"电子科技大学学报","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70067816","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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