2018 1st International Cognitive Cities Conference (IC3)最新文献_第3页

Improvement of LED Non-Invasive Blood Glucose Meter LED无创血糖仪的改进

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.000-9

Po-Hao Chen, Ke Chang, Shih-Hsin Ma, Jiann-Hwa Lue, Ting-Jou Ding

引用次数: 0

Automatic Clustering and Semantic Annotation for Dynamic IoT Sensor Data 动态物联网传感器数据的自动聚类和语义标注

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.00-30

Ching-Tzu Yu, Yu-Hui Zou, Hao-Yu Li, Szu-Yin Lin

引用次数: 0

Preprocessor of Materialized Views Selection 物化视图选择的预处理器

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.00010

Baili Zhang, Le Yang, Zhikai Zhou, Hongjian Jiang, Ruizhao Liu, Jianxiong Han

{"title":"Preprocessor of Materialized Views Selection","authors":"Baili Zhang, Le Yang, Zhikai Zhou, Hongjian Jiang, Ruizhao Liu, Jianxiong Han","doi":"10.1109/IC3.2018.00010","DOIUrl":"https://doi.org/10.1109/IC3.2018.00010","url":null,"abstract":"The availability and performance of data warehouse is gradually degrading with variable requirements. The set of materialized views is far from being optimal, so it is necessary to implement the dynamic adjustment to meet the demand of the users. Since the current static algorithms are not suitable for this purpose due to their larger space search and higher time consumption, this paper proposes PMVS (Preprocessor of Materialized Views Selection), which is composed of three algorithms: QSDM (Query Set Dynamic Management), CVLC (Candidate View Lattice Construction) and CVF (Candidate View Filter). Of the three algorithms, QSDM monitors the distribution of each query and determines by hypothesis testing whether the query should be added into or discarded from the query set. Based on the given query set, CVLC is in charge of producing candidate view set, which has been proven to be sufficient and necessary for selecting the best set of materialized views. As a heuristic algorithm, CVF utilizes the data sparse in multi-dimensional datasets to remove a part of candidate views, with very limited contribution to the optimal solution. The contrastive experiment indicates that PMVS can be employed by the static algorithms to reduce the amount of previous views effectively. The cost of static algorithms on space and time can be decreased to fit online demand.","PeriodicalId":236366,"journal":{"name":"2018 1st International Cognitive Cities Conference (IC3)","volume":"20 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116018615","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

Evaluation of System Ease of Use Scaffolding Theory on Mobile Games App 手机游戏应用系统易用性脚手架理论评价

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.00032

Chih-Yi Lin, Cheng-Hung Wang

引用次数: 0

Encoder-Decoder Model for Forecast of PM2.5 Concentration per Hour 每小时PM2.5浓度预报的编码器-解码器模型

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.00020

Leiming Yan, Yaowen Wu, Luqi Yan, Min Zhou

{"title":"Encoder-Decoder Model for Forecast of PM2.5 Concentration per Hour","authors":"Leiming Yan, Yaowen Wu, Luqi Yan, Min Zhou","doi":"10.1109/IC3.2018.00020","DOIUrl":"https://doi.org/10.1109/IC3.2018.00020","url":null,"abstract":"Atmospheric PM2.5 is a major pollutant impacting on human health and the environment. Based on traditional neural networks, we construct three prediction models: BP, Stack GRU, and Encoder-Decoder. We use Tianjin's continuous 171-day hourly PM2.5 concentration, air quality index, and meteorological data to train and test the model and evaluate the prediction performance of the model. In the experiment, using the meteorological factors, pollutant factors, seasonal factors, and PM2.5 concentrations as inputs, the PM2.5 concentration of every hour of the next day is predicted. The experimental result shows that when using PM2.5 concentration data for 3 days per hour to predict PM2.5 per hour, continuous forecasting for 43 days, the PM2.5 concentration value predicted by the Encoder-Decoder model is not significantly different from the value of PM2.5 issued by Tianjin local authorities, and the root mean square error (RMSE) is 43.17. With the same input data, the prediction result of Encoder-Decoder model is better than BP neural network and GRU prediction model, which shows that Encoder-Decoder model has better adaptability in predicting PM2.5 concentration than BP neural network and GRU model.","PeriodicalId":236366,"journal":{"name":"2018 1st International Cognitive Cities Conference (IC3)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128809869","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: 13

A Study on Rapid Incremental Maximum Flow Algorithm in Dynamic Network 动态网络中快速增量最大流量算法研究

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/ic3.2018.00011

Yuanyuan Wang, Jianhui Ling, Sihai Zhou, Yundi Liu, Weicheng Liao, Baili Zhang

{"title":"A Study on Rapid Incremental Maximum Flow Algorithm in Dynamic Network","authors":"Yuanyuan Wang, Jianhui Ling, Sihai Zhou, Yundi Liu, Weicheng Liao, Baili Zhang","doi":"10.1109/ic3.2018.00011","DOIUrl":"https://doi.org/10.1109/ic3.2018.00011","url":null,"abstract":"Maximum flow is a key measurement for the capacity of a flow network. When malfunction or damage occurs in branches of a dynamic network, it is urgent in many applications to identify whether the damaged network is still able to transfer demanded flow d. Obviously, recalculating maximum flow in the new network with the traditional algorithm is not a recommended solution for its higher time-complexity. As is known, in many existing maximum flow algorithms, the search for augmenting paths is critical but highly time-consuming. Thus, this paper proposes an incremental maximum flow algorithm based on augmented routing tree (IMFA_ART), directly producing augmenting paths without complex calculation. The algorithm caches the information of simple paths during calculating maximum flow in the original network. The cached data will be utilized to get the augmenting paths whenever network topology changes, without any complex calculation in residual network. In addition, in order to avoid traversing those invalid simple paths that contain saturated edges, an augmented routing tree is proposed to index all simple paths. With the aid of this tree, the next augmenting paths can be found sequentially to achieve maximum flow by traversing from the root to a leaf. The time complexity is determined by the height of ART, which is far less than the number of augmenting paths. Therefore, the algorithm performance can be improved significantly. Experiments show that IMFA_ART has greater advantage in time performance over Dinic, the most famous maximum flow algorithm.","PeriodicalId":236366,"journal":{"name":"2018 1st International Cognitive Cities Conference (IC3)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116919880","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: 6

Exploring the Role of Visual Programming Activities in Computational Thinking 探索视觉编程活动在计算思维中的作用

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/ic3.2018.00-43

Chia-Ching Lin, Po-Yao Chao, En-Ting Lin, Huei-Lin Tzeng

引用次数: 2

An Interactive Interpretive Structural Modeling for Determining Criteria Relations 一种确定标准关系的交互式解释结构模型

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.00029

Jinyuan He, Le Sun

引用次数: 0

Distributed Multichannel MAC Protocol in Cognitive Radio Ad Hoc Networks 认知无线电自组织网络中的分布式多通道MAC协议

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.000-6

Meng-Xin Wu, You-Jie Yang, Cheng-Yue Xie, Chien-Min Wu

引用次数: 1

A Study on Integrating Augmented Reality Technology and Game-Based Learning Model to Improve Motivation and Effectiveness of Learning English Vocabulary 结合增强现实技术和游戏学习模式提高英语词汇学习动机和有效性的研究

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI: 10.1109/IC3.2018.00015

Shih-Yeh Chen, Chao-Yueh Hung, Yao-Chung Chang, Yu-Shan Lin, Ying-Hsun Lai

{"title":"A Study on Integrating Augmented Reality Technology and Game-Based Learning Model to Improve Motivation and Effectiveness of Learning English Vocabulary","authors":"Shih-Yeh Chen, Chao-Yueh Hung, Yao-Chung Chang, Yu-Shan Lin, Ying-Hsun Lai","doi":"10.1109/IC3.2018.00015","DOIUrl":"https://doi.org/10.1109/IC3.2018.00015","url":null,"abstract":"This study mainly focuses on developing a game-based learning system with the augmented reality technology, which is applied to English curriculums in primary schools. Through the interactions of voice, graphics and real-world environments, students can learn common vocabulary of each English letter, and then discuss the impact on learning motivation and effectiveness. The purpose is combining the particularities of high interactivity, immersion and authenticity of the augmented reality with the game-based learning model to expect for attracting more people to invest in developing the augmented reality applications for the game-based learning. The system is evaluated by three experts with English education background. Through the quasi-experimental research method, there are 46 second grade students of primary school divided into the control group and experiment group to be investigated for learning motivation and learning effectiveness by questionnaire individually. The results show that it is significant in improving students' motivation and effectiveness","PeriodicalId":236366,"journal":{"name":"2018 1st International Cognitive Cities Conference (IC3)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128856777","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: 25