2019 14th International Conference on Computer Science & Education (ICCSE)最新文献_第10页

Research on Module Design of PSD Big Data Platform PSD大数据平台模块设计研究

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845485

Li-You Chen, Shinn-Dar Wu, Haoxianyi Huang, Xiangnan Chen, Wei-Xin Jiang, Yea-Chyi Lin, Yu-Lin Yang

{"title":"Research on Module Design of PSD Big Data Platform","authors":"Li-You Chen, Shinn-Dar Wu, Haoxianyi Huang, Xiangnan Chen, Wei-Xin Jiang, Yea-Chyi Lin, Yu-Lin Yang","doi":"10.1109/ICCSE.2019.8845485","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845485","url":null,"abstract":"In recent years, the serious environmental problems, the depletion of ozone layer, the greenhouse effect, the oil crisis, the development and utilization of new energy sources have become more important issues in the world, and the development of electric vehicles has been the target of global development. In order to meet the demand of the times, and in line with the technical trend of low-carbon life and energy conservation and environmental protection issues, a new management of the battery life of electric vehicles has been carried out in accordance with the technical trend of low-carbon life and energy conservation and environmental protection issues. Because the design of BMS and EMS is different, then its application in series and parallel of batteries is also different because of the state of batteries, which often results in insufficient battery power, especially when the battery is left with 20% or 10% of the battery, People are scared because they don’t know how long the remaining 20% or 10% will be able to use. Therefore, this study not only can make users understand the current power situation, but can give a big data feedback integration of the functions of the Internet in the analysis of PSD curve (developed by ShinnDar), extend battery charging pricing, and have security positioning functions, and so on. It can also be used to protect the battery effectively, avoid damage due to overvoltage or overcurrent, prolong its service life effectively, which let consumers use it at ease.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114794869","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

Instructional Design Model and Analysis of Elderly Health Knowledge Learning System under the Theory of Contextual Learning 情境学习理论下老年健康知识学习系统的教学设计模式与分析

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845435

E. Li, Lianshuan Shi

引用次数: 0

Thematic Learning-based Full-text Retrieval Research on British and American Journalistic Reading 基于主题学习的英美新闻阅读全文检索研究

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845408

Jiangying Yu, Ai-yuan Su, Wang-yang Liu, Xu Cheng, J. Yang

引用次数: 0

State-Time-Alignment Phone Clustering Based Language-independent Phone Recognizer Front-end for Phonotactic Language Recognition 基于状态-时间对齐电话聚类的语音语音识别语言无关电话识别器前端

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845351

Weiwei Liu, Guo-Chun Li, Cun-Xue Zhang, Hai-Feng Yan, Jing He, Yan-Miao Song, Ying-Xin Gan, Jian-zhong Liu, Ying Yin, Ya-Nan Li, Zhao Peng, Yu-Bin Huang, Xi-Bo Zhang, J. Tong, Xing-Hua He, F. Yuan, Hui-Qi Tao, Bao-Zhu Zhao

{"title":"State-Time-Alignment Phone Clustering Based Language-independent Phone Recognizer Front-end for Phonotactic Language Recognition","authors":"Weiwei Liu, Guo-Chun Li, Cun-Xue Zhang, Hai-Feng Yan, Jing He, Yan-Miao Song, Ying-Xin Gan, Jian-zhong Liu, Ying Yin, Ya-Nan Li, Zhao Peng, Yu-Bin Huang, Xi-Bo Zhang, J. Tong, Xing-Hua He, F. Yuan, Hui-Qi Tao, Bao-Zhu Zhao","doi":"10.1109/ICCSE.2019.8845351","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845351","url":null,"abstract":"The now-acknowledged sensitive of Phonotactic Language Recognition (PLR) technology to the performance of the phone recognizer front-end have spawned interests to develop many methods to improve it. In this paper a state-of-art State-Time-Alignment (STA) phone clustering approach to build language-independent phone recognizer is proposed in phonotactic language recognition system to balance the performance and the complexity of the speech tokenizing processing in PLR.Experiments are carried out on the database of National Institute of Standards and Technology language recognition evaluation 2009 (NIST LRE 2009) and the experimental results have confirmed that phonotactic language recognition system using the collaborated language model yields 1.84%, 5.55% and 16.82% in equal error rate (EER), which show that the STA phone clustering based phone recognizer front-end outperforms the original English and Mandaren phone recognizers and other phone clustering methods based phone recognizer.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134263481","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

Locality-Sensitive Hashing Scheme Based on Heap Sort of Hash Bucket 基于哈希桶堆排序的位置敏感哈希方案

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845438

Bo Fang, Zhongyun Hua, Hejiao Huang

{"title":"Locality-Sensitive Hashing Scheme Based on Heap Sort of Hash Bucket","authors":"Bo Fang, Zhongyun Hua, Hejiao Huang","doi":"10.1109/ICCSE.2019.8845438","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845438","url":null,"abstract":"Nearest neighbor search (NNS) is one of the current popular research directions, which widely used in machine learning, pattern recognition, image detection and so on. In the low dimension data, based on tree search method can get good results. But when the data dimension goes up, that will produce a curse of dimensional. The proposed Locality-Sensitive Hashing algorithm (LSH) greatly improves the efficiency of nearest neighbor query for high dimensional data. But the algorithm relies on the building a large number of hash table, which makes the space complexity very high. C2LSH based on dynamic collision improves the disadvantage of LSH, but its disadvantage is that it needs to detect the collision times of a large number of data points which Increased query time. Therefore, Based on LSH algorithm, later researchers put forward many improved algorithms, but still not ideal.In this paper, we put forward Locality-Sensitive Hashing Scheme Based on Heap Sort of Hash Bucket (HSLSH) algorithm aiming at the shortcomings of LSH and C2LSH. Its main idea is to take advantage of the efficiency of heapsort in massive data sorting to improve the efficiency of nearest neighbor query. It only needs to rely on a small number of hash functions can not only overcome the shortcoming of LSH need to build a large number of hash table, and avoids defects of C2LSH. Experiments show that our algorithm is more than 20% better than C2LSH in query accuracy and 40% percent lower in query time.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133526511","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

ICCSE 2019 Committees

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/iccse.2019.8845403

引用次数: 0

Discussion on the reform of university public computer curriculum under the background of new curriculum standard 新课程标准背景下高校公共计算机课程改革的探讨

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845436

Fan Xu, Lan Wang

引用次数: 0

Research on the Platform of Online Education Platform Based on Cloud Computing 基于云计算的在线教育平台平台研究

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845511

Boqin Liu, Hanrong Chen, He Junmei

引用次数: 6

Research on School Teaching Platform Based on Blockchain Technology 基于区块链技术的学校教学平台研究

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845353

Liping Li, Xiaosong Wu

引用次数: 9

A Hierarchical Brain Network Model Based on the K-Shell Decomposition Algorithm 基于k -壳分解算法的分层脑网络模型

2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845399

Shuyan Peng, W. Zhou, Yujun Han

{"title":"A Hierarchical Brain Network Model Based on the K-Shell Decomposition Algorithm","authors":"Shuyan Peng, W. Zhou, Yujun Han","doi":"10.1109/ICCSE.2019.8845399","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845399","url":null,"abstract":"The human brain is a complicated network which has some conflicted properties simultaneously such as robustness and vulnerability. Early researchers try to explore the phenomenon mainly focused their attention on the graphical properties of the node itself, such as degree and betweenness etc., but ignored the affection of the neighbors. This research suggested a perspective from the topological structure of the complex network to explore the paradoxical phenomenon. We introduced the K-shell decomposition algorithm to explore the structure of the brain network and the characteristics of nodes in it. Such method considers both the properties of the node itself and the affection of neighbors might inflict. Based on the algorithm, we generated a hierarchical brain network model. According to this model, the brain network has three components: the nucleus with the densest connection within it, the giant component, the nodes in it connect with each other but do not reach to the nucleus; the isolated nodes which solely connect to other parts of the network through the nucleus. Such ‘medusa-like’ shape was similar to the internet which promises that only when the nucleus had been destroyed, the robustness of the network would be damaged. Based on such structure, we hypothesize that the brain regions which belong to the nucleus could be considered as biomarkers of early detection for some neurodegenerative diseases, for these diseases only destroyed few brain regions that could cause the brain dysfunction to the patients, at the same time, such organization also suggests there are two different information delivery paths for the different cognitive tasks.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130294265","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