The 2nd International Conference on Computing and Data Science最新文献

Design and Realization of Airborne AC Power Parameters Test System Based on FPGA 基于FPGA的机载交流电源参数测试系统的设计与实现

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450786

Qing Dong, Hongxiang Zhu, Lijun Yan

引用次数: 0

Application of Blockchain in Construction Inspection Activities 区块链在建筑检验活动中的应用

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450479

Yi-Hsin Lin, S. Ho, Holly Wang, W. Hsu

引用次数: 1

Research on Detection Algorithm of Foreign Object Debris and Small Targets in Airport Runway Based on SSD 基于SSD的机场跑道异物碎片和小目标检测算法研究

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450862

Qiang Gao, Ruifeng Hong, Yutong Chen, Jiaxing Lei

引用次数: 3

COVID-19 Spread Prediction Model COVID-19传播预测模型

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450846

Tong Zhou, Yunxin Zhang

引用次数: 2

Research on positioning algorithm of binocular camera based on multi-media 基于多媒体的双目摄像机定位算法研究

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450476

Qianghua Xiong, Lei Yang, Qingqiang Chen

引用次数: 1

A Single Source Optimal Reachable Path Query Method for Gene Regulatory Network 基因调控网络单源最优可达路径查询方法

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450900

Zhaoyuan Zhang, Zhiqiong Wang, Ziheng Ding, Hanwen Wang, Keyi Liu, Weiyiqi Wang

{"title":"A Single Source Optimal Reachable Path Query Method for Gene Regulatory Network","authors":"Zhaoyuan Zhang, Zhiqiong Wang, Ziheng Ding, Hanwen Wang, Keyi Liu, Weiyiqi Wang","doi":"10.1145/3448734.3450900","DOIUrl":"https://doi.org/10.1145/3448734.3450900","url":null,"abstract":"With the in-depth study of gene regulatory network, the reconstruction technology of gene regulatory network based on gene expression data has become increasingly mature. In the study of targeted gene mapping in gene regulatory networks, querying the acting path of targeted drugs can be transformed into a process of path querying on a probability graph. On this basis, evaluating the reachable path in a probability graph requires comprehensive consideration of both path existence probability and path length. However, the existing path query method of probability graphs can only convert the probability graph into a determined graph, and then uses the query algorithm on the determined graph to query. This will lead to the path query process unable to take into account both the path existence probability and path length at the same time, thus failing to meet the needs of targeted gene mapping research. Therefore, this paper proposes an optimal path query algorithm Dual-element Optimal Reachable Path Query Algorithm (DOP) based on the gene regulatory network represented by the probability graph. The algorithm will comprehensively evaluate both the probability of the path existence and the path length to query the optimal path, providing an important reference for targeted gene mapping research.","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":"125375420","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

Operation Risk Warning of Edge Data Centers 边缘数据中心操作风险提示

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450883

Mingming Zhang, Yiyi Zha, Yintie Zhang

引用次数: 0

Optimization of Computer Teaching Strategy Based on Genetic Algorithm 基于遗传算法的计算机教学策略优化

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450835

Yuanyuan Zhang

{"title":"Optimization of Computer Teaching Strategy Based on Genetic Algorithm","authors":"Yuanyuan Zhang","doi":"10.1145/3448734.3450835","DOIUrl":"https://doi.org/10.1145/3448734.3450835","url":null,"abstract":"The application of computer technology in the field of education has made great progress. More and more educational problems are solved by using computers. The optimization of teaching strategy is also an important link in the field of education. How to use computer technology to optimize teaching strategy to overcome the disadvantages of subjectivity and randomness of traditional optimization method is a new research aspect of computer application in the field of education. Based on this, this paper studies the optimization of computer teaching strategy based on genetic algorithm. This paper designs an evaluation mechanism of teaching strategy, and on this basis, uses genetic algorithm to optimize teaching strategy, so as to achieve the purpose of continuous evolution and optimization of teaching strategy with the change of teaching content and teaching object. At the same time, the teaching strategy optimization system based on genetic algorithm is designed and implemented. In one academic year, this paper tracks the use of the teaching strategy optimization system by the students of one or two classes in their university and their two teachers in the semester. The experimental group used the system optimization teaching strategy, while the control group did not use the optimization strategy. The results show that the average teaching performance evaluation of the experimental group is 4 points higher than that of the control group. Therefore, genetic algorithm is a kind of parallel optimization algorithm, which is very suitable for solving the problem of computer teaching strategy optimization. The optimization effect of the final generated teaching strategy meets the requirements, has high credibility and achieves good results.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"33 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":"128984097","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

Trajectory planning of a 6R manipulator around obstacles by using SRRT* Algorithm 基于SRRT*算法的6R机器人绕障轨迹规划

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450853

Shugang Zhang, Bei-xuan Lyu, Yong Li, Lijun Sui, Jie Yang

引用次数: 0

3D Hand Reconstruction from a RGB Image 基于RGB图像的3D手部重建

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450928

Hailing Wang, Jing Zhang

引用次数: 0