2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)最新文献_第5页

Research on incentive mechanism in network education platform 网络教育平台激励机制研究

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603538

Min Hou, Jun Han, Jiasha Zhang, Jing Liu

{"title":"Research on incentive mechanism in network education platform","authors":"Min Hou, Jun Han, Jiasha Zhang, Jing Liu","doi":"10.1109/FSKD.2016.7603538","DOIUrl":"https://doi.org/10.1109/FSKD.2016.7603538","url":null,"abstract":"Network education has been developing rapidly, but there is always a problem that learners' motivation is not high. This paper is based on incentive theory and motivation theory, according to four stages of teaching process: stimulate, guide, maintain and evaluate, the corresponding incentive measures are put forward, the structure of the network teaching incentive measures is formed. Then, on the basis of the framework of incentive measures, taking Blackboard as an example, the research of incentive mechanism in three courses: information technology education, instructional design and educational technology research methods is investigated, which is widely used in Capital Normal University. We analyze the present situation of the blackboard, find out its advantages and disadvantages, and put forward the corresponding solution to the problem. This study not only provides a reference for the analysis of incentive measures in the network teaching platform, but also puts forward new ideas for the study of incentive mechanism, and further deepens our understanding of the incentive mechanism.","PeriodicalId":373155,"journal":{"name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127899253","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

A prediction based on clustering and personality questionnaire data for IGD risk: A preliminary work 基于聚类和人格问卷数据预测IGD风险的初步研究

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603433

Xiaoliang Gong, Bozhong Long, Kun Fang, Zongling Di, Yichu Hou, Lei Cao

{"title":"A prediction based on clustering and personality questionnaire data for IGD risk: A preliminary work","authors":"Xiaoliang Gong, Bozhong Long, Kun Fang, Zongling Di, Yichu Hou, Lei Cao","doi":"10.1109/FSKD.2016.7603433","DOIUrl":"https://doi.org/10.1109/FSKD.2016.7603433","url":null,"abstract":"With the development of the Internet, a lot of people trapped in the network, especially the adolescent depending on the network game and disturbing their normal life. 579 freshmen participated in this work who were collected the personality questionnaires in the first week they came in university and their grades points average (GPA) after half year. The questionnaires were including Self-Control (SCS), Barratt impulse Inventory (BIS) and Chinese Big Five Personality (CBF). This work used multi-clustering algorithms to construct the models of predicting for Internet game disorder (IGD) risk, including FCM, K-means, and Hierarchical for training model. This is the first try to predict the risk of IGD by personality traits. The results shown the questionnaire data were well separated by different clustering algorithms into three groups who were shared the analogous personality traits which has a relationship with the behavior of IGD. But compared to the GPA of each group, the efficiency of the prediction model seems not so satisfactory. There need more efforts to optimized the model in the future.","PeriodicalId":373155,"journal":{"name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115653137","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

Context-sensitive similarity based supervised image change detection 基于上下文敏感相似度的监督图像变化检测

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603147

C. Li, Leifu Gao

引用次数: 2

Structural learning framework for binary short text classification 二元短文本分类的结构学习框架

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603347

Wuying Liu, Lin Wang

引用次数: 3

A high-precision registration algorithm for heterologous image based on effective sub-graph extraction and feature points bidirectional matching 一种基于有效子图提取和特征点双向匹配的异源图像高精度配准算法

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603457

Xiujie Qu, Yue Sun, Yue Gu, Shuang Yu, Liwen Gao

{"title":"A high-precision registration algorithm for heterologous image based on effective sub-graph extraction and feature points bidirectional matching","authors":"Xiujie Qu, Yue Sun, Yue Gu, Shuang Yu, Liwen Gao","doi":"10.1109/FSKD.2016.7603457","DOIUrl":"https://doi.org/10.1109/FSKD.2016.7603457","url":null,"abstract":"Aiming at solving the problem of low matching accuracy caused by different imaging mechanism of heterologous image, we propose a novel image registration algorithm based on effective sub-image extraction and bidirectional matching for surf feature points. The algorithm adopts a coarse-to-fine matching strategy. Firstly, we transform the edge image into frequency domain through fast Fourier transform, and roughly estimate transform parameters using the cross power spectrum; secondly, we divide the images after rough matching into several sub-graphs, from which we will pick out the effective sub-graph in terms of normalized mutual information, then we match bidirectionally the feature points of effective sub-graph pair according to time domain features, thus obtaining accurate transformation parameters, completing the fine matching. Experimental results of heterologous images in different scenarios show that, the proposed algorithm effectively improves the registration accuracy which is up to sub pixel level.","PeriodicalId":373155,"journal":{"name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122080000","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

Iterative sparse matrix-vector multiplication on in-memory cluster computing accelerated by GPUs for big data 基于gpu加速的大数据内存集群计算迭代稀疏矩阵向量乘法

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603391

Jiwu Peng, Zheng Xiao, Cen Chen, Wangdong Yang

引用次数: 4

Non-commutative hyper residuated lattices and hyper pseudo-BCK algebras 非交换超剩余格与超伪bck代数

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603536

Xiaohong Zhang, Q. Zhan, Xue-ping Wang

引用次数: 0

Solving bi-objective unconstrained binary quadratic programming problem with multi-objective path relinking algorithm 用多目标路径链接算法求解双目标无约束二元二次规划问题

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603188

Lei Song, Rong-Qiang Zeng, Yang Wang, Ming-Sheng Shang

引用次数: 1

A novel improved ViBe algorithm to accelerate the ghost suppression 一种新的改进的ViBe算法来加速对鬼影的抑制

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603432

Keyang Cheng, Kaifa Hui, Yongzhao Zhan, M. Qi

{"title":"A novel improved ViBe algorithm to accelerate the ghost suppression","authors":"Keyang Cheng, Kaifa Hui, Yongzhao Zhan, M. Qi","doi":"10.1109/FSKD.2016.7603432","DOIUrl":"https://doi.org/10.1109/FSKD.2016.7603432","url":null,"abstract":"This paper presents a new improved ViBe algorithm approach to accelerate the ghost suppression, which is a robust and efficient background subtraction algorithm for video sequences. The ViBe has the advantages of faster processing speed and lighter computation load compared with other algorithms. For the sake of the real-time performance of the background modeling, it only uses the first frame to build the background model during the process of initialization. However, it will result in introducing ghost area in the subtraction progression, which has an impact on the performance of the background modeling. We put forward a novel method to accelerate the elimination of the ghost area by detecting and reinitializing the region of the ghost area. Our enhanced algorithm is compared with other improved algorithms with the same aim to suppress the generation of the ghost by conducting a series of contrast experiments. The comparison figures show that our method has better performance in ghost suppression. The PCC is used as a metric to evaluate our algorithm performance. The experiment results show that the PCC of our algorithm has improved after the second frame distinctly in contrast to the original algorithm as well as the improved algorithms mentioned in this paper. Besides, the time for processing per frame can still meet the demand of real-time performance.","PeriodicalId":373155,"journal":{"name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128376830","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

Random selection false source-based algorithm for protecting source-location privacy in WSNs 基于随机选择假源的wsn源位置隐私保护算法

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2016-08-01 DOI: 10.1109/FSKD.2016.7603499

Leqiang Bai, Ling Li, Shiguang Qian, Shihong Zhang

引用次数: 2