Proceedings of the 3rd International Conference on Computer Science and Application Engineering最新文献_第2页

Online Hot Topic Discovery and Hotness Evaluation 在线热点话题发现与热度评价

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3361319

Chunhui Deng, Huifang Deng, Yuxin Liu

引用次数: 1

Route Matching Research Based on Roadless Navigation Data Improvements on Hidden Markov Model 基于隐马尔可夫模型改进的无路导航数据路径匹配研究

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3360957

Xiaolin Zhou, Feng Gao

{"title":"Route Matching Research Based on Roadless Navigation Data Improvements on Hidden Markov Model","authors":"Xiaolin Zhou, Feng Gao","doi":"10.1145/3331453.3360957","DOIUrl":"https://doi.org/10.1145/3331453.3360957","url":null,"abstract":"The positioning problem is a key pre-processing step in the location service to assist in solving related problems such as location query and sharing in urban problems. Most of the map matching results obtained in these research fields are based on road networks. However, it is not cost-effective to buy a set of road network data in a country with a small amount of business, and in areas where the road network is thinly scattered and the maintenance work of road network is not timely enough. At this time, it is a big challenge to position the vehicle on the predetermined route basing on roadless navigation data. Inspired by road network-based map-matching algorithms, the contribution of this paper is introducing the time constraints and the direction constraints to transition probability in Hidden Markov Model(HMM), so that the position of the vehicle can be more accurately located at a certain point in the route, and the application of the algorithm in this no road networks scenario is improved accordingly. Experiments show that, in the case of the high sampling rate, the accurate performance meets the business requirements.","PeriodicalId":162067,"journal":{"name":"Proceedings of the 3rd International Conference on Computer Science and Application Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114668831","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: 2

An Enhanced Multi-Population Ensemble Differential Evolution 一种增强的多种群集合差异进化

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3362054

Xiangping Li, Guangming Dai

引用次数: 2

An Effective Method to Improve the Accuracy of Precise Funding in Campus 提高高校精准拨款准确性的有效方法

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3360952

Heng Li, Xiao Zhang, Xia Li, Yanqiu Wang

引用次数: 1

Superconvergence of DG Method for a Class of General Hyperbolic Equations with Periodic Boundary Conditions 一类具有周期边界条件的一般双曲型方程的DG法的超收敛性

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3360979

Zhiguang Xiong, Wenjing Guo, Juan Ma

引用次数: 0

A Modeling Tool for Sensor-based Mobile Applications 基于传感器的移动应用建模工具

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3361301

Zhiyi Ma, Xiaoxi Wang, Hongjie Chen, Ye Qiu

引用次数: 0

Internet of Things Smart Restaurant Design Scheme 物联网智能餐厅设计方案

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3361283

Baoqing Deng, Bo Zhang, Shihang Li, Feng Wang, Dongxing Li, Hai Lin

{"title":"Internet of Things Smart Restaurant Design Scheme","authors":"Baoqing Deng, Bo Zhang, Shihang Li, Feng Wang, Dongxing Li, Hai Lin","doi":"10.1145/3331453.3361283","DOIUrl":"https://doi.org/10.1145/3331453.3361283","url":null,"abstract":"With the continuous development and progress of society, people's per capita income continues to improve, followed by the improvement of people's consumption level, which greatly promoted the rapid development of the catering industry. Because of the rapid development of catering industry and the growth of modern people's spiritual consumption demand, the catering industry has introduced the Internet, which improves the efficiency of catering services, reduces costs, improves the efficiency of restaurants, and also saves queuing and waiting time for customers, and improves customer satisfaction. In recent years, with the development of communication technology, the 5G era is coming, which will certainly promote the development of Internet of Things intelligent restaurants in a better direction. The intelligent restaurant designed in this paper is mainly based on the intelligent management system of Internet of Things and cloud computing technology. In this intelligent system, customers order food through the micro-message program or counter ordering machine. After ordering, the general control system will process the information of the customers' ordering, and then get the kinds and quantity information of the raw materials used in the food, and transmit it to the chef. The chef transmits the data information to the manipulator through the touch screen terminal to obtain the material and transport it. The system sends the raw materials back to the chef to facilitate the chef's processing. Finally, the information of the chef's food production will be returned to the user through the display screen on the table. Customers take and eat according to the instructions on the screen. Based on the existing ordering system, numbering system, calling system and cash register system, this paper designs the back -kitchen system to realize intelligent management and make the intelligent restaurant enterprises occupy an advantageous position in the same industry.","PeriodicalId":162067,"journal":{"name":"Proceedings of the 3rd International Conference on Computer Science and Application Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128795924","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: 3

Extractive Summarization Based on Quadratic Check 基于二次检验的提取摘要

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3361304

Yanfang Cheng, Yinan Lu

引用次数: 0

Analysis of Behavioral Characteristics Based on Student's Personal Big Data 基于学生个人大数据的行为特征分析

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3362052

Jiangbo Shu, Li Peng, Qianqian Hu, Fengxia Tan, Xiong Ge

{"title":"Analysis of Behavioral Characteristics Based on Student's Personal Big Data","authors":"Jiangbo Shu, Li Peng, Qianqian Hu, Fengxia Tan, Xiong Ge","doi":"10.1145/3331453.3362052","DOIUrl":"https://doi.org/10.1145/3331453.3362052","url":null,"abstract":"With the continuous improvement of the information construction of colleges and universities, the daily life and learning behaviors of college students are recorded and stored by major business systems, and they are accumulated, which has initially formed a large-scale and multi-type student personal big data environment. This paper mainly classifies and summarizes the students' data from the three aspects of student basic information, campus learning and campus life. It focuses on the feature extraction and index mining of students' campus consumption, curriculum and performance data, and constructs the student's personal big data behavior analysis model. In-depth analysis and mining of student consumption behavior data to explore students' dietary rules and consumption level. Through data analysis, the following rules were found: 1)The total number of students eating at school decreases year by year, and the breakfast rate decreases year by year; 2) Freshmen are one hour ahead of the \"peak period\" of breakfast meals for the whole group;3) The students' academic scores are highly correlated with the meal rate, breakfast meal rate and eating consumption level, and are less correlated with variables such as window selection stability, etc. 4) The more regular the student's diet, the more stable the level of consumption, and the higher the level of learning effort, the better the student's academic performance.","PeriodicalId":162067,"journal":{"name":"Proceedings of the 3rd International Conference on Computer Science and Application Engineering","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123332088","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

An Algorithm for Gas Breakdown Voltage Prediction in Low Pressure Gap 低压间隙气体击穿电压预测算法

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI: 10.1145/3331453.3360953

Bo Yu, Xiaoyan Kang, Qing Zhao

{"title":"An Algorithm for Gas Breakdown Voltage Prediction in Low Pressure Gap","authors":"Bo Yu, Xiaoyan Kang, Qing Zhao","doi":"10.1145/3331453.3360953","DOIUrl":"https://doi.org/10.1145/3331453.3360953","url":null,"abstract":"The prediction for low-pressure gas breakdown voltage in complex-structure electrodes has played a significant role in anti-breakdown design in a vacuum environment and in reducing the starting voltage of gas discharge. However, state-of-the-art methods cannot provide an effective and efficient calculation. For this purpose, the present study proposed an algorithm named, Breakdown Path Capture (BPC), which was based on the Monte-Carlo collisions model. This algorithm can determine the critical path to start a breakdown and calculate the breakdown voltage in complex-structure electrodes. In addition, gas breakdown tests were also employed in two typical application cases. According to the comparison between the test and calculation results, the computational error of BPC ranges within 7.8%-11.2%, and the time cost by BPC for each case in the present study was <15 seconds. Meanwhile, based on the test and BPC results, it was concluded that the critical breakdown path transfer can lead to a straight line in the breakdown voltage curve. The present study can provide a numerical method and theoretical reference for related applications.","PeriodicalId":162067,"journal":{"name":"Proceedings of the 3rd International Conference on Computer Science and Application Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121341630","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