2017 6th International Conference on Computer Science and Network Technology (ICCSNT)最新文献_第10页

A new local optimization method of finite-element mesh 一种新的有限元网格局部优化方法

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343671

Lei Jiang, Wei Chen

引用次数: 0

Design of IIR digital filter IIR数字滤波器设计

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343749

P. He, Hongli Chang, Han Gao, ZiYi Wang

引用次数: 1

Recommendation based on trust and distrust social relationships 推荐基于信任和不信任的社会关系

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343698

Zhenqian Fei, Wei Sun, Xiaoxin Sun, Guozhong Feng, Bangzuo Zhang

{"title":"Recommendation based on trust and distrust social relationships","authors":"Zhenqian Fei, Wei Sun, Xiaoxin Sun, Guozhong Feng, Bangzuo Zhang","doi":"10.1109/ICCSNT.2017.8343698","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343698","url":null,"abstract":"Recommender system has become increasingly popular in recent years, since it is an effective way to solve the problem of information overload problem. But it is still subject to some inherent problems, such as data sparseness and cold start. Many studies show that the integration of social network information is a very effective way to solve such issues. The studies on recommendation methods that incorporate social relationships, not only take into account the preferences of the user for the item, but also the interaction between the users according to their behavior and the social relationships. And now, the application of social relationships has extended from the trust relationships to the distrust relationships. While the collaborative filtering is the most important and widely used recommendation method, there is little work on combining with trust and distrust social network relationships. So, this paper proposes the methods of integration the trust and distrust social relationships, TDUCF1 and TDUCF2, and with the improved cosine similarity, to improve the collaborative filtering recommendation algorithm, which combined the users' trust and distrust social relationships, and effectively alleviated the sparseness. The experimental results show that the proposed methods outperform the state-of-art algorithms.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127363303","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

Adaptively group based on the first joint sparsity models distributed compressive sensing of hyperspectral image 基于第一联合稀疏度模型的自适应分组高光谱图像分布式压缩感知

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343733

L. Deng, Yuefeng Zheng, P. Jia, Sichen Lu, Jiuting Yang

{"title":"Adaptively group based on the first joint sparsity models distributed compressive sensing of hyperspectral image","authors":"L. Deng, Yuefeng Zheng, P. Jia, Sichen Lu, Jiuting Yang","doi":"10.1109/ICCSNT.2017.8343733","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343733","url":null,"abstract":"Hyperspectral Images (HSI) have strong spectral correlation compared with ordinary 2D images. Distributed compressed sensing (DCS) happens to exploit both intra-and inter-signal correlation structures among multiple nodes and lends itself well to hyperspectral image compression. In this paper, we propose a new algorithm of adaptive grouping for HSI compression based on the first joint sparsity model (JSM-1) of DCS. This algorithm adaptively divides one hyperspectral image into several groups of bands (GOBs) in accordance with its spectral correlation firstly, to ensure that each group of bands has strong spectral correlation. Every group of bands contains a reference band and the remaining non-reference bands, and then subtracts the reference band from each of the non-reference bands in the same group which makes the structure conform JSM-1. Then the distributed compressed sensing JSM-1 model is applied to hyperspectral image compression, encoding every residual image using CS coding. We use a joint recovery algorithm to reconstruct at the decoder. In this algorithm, the spectral similarity of high spectral images is used to get the data more sparse and improve the reconstruction effect of the compressed image, and the better compression efficiency is obtained. Experiments show the feasibility of the proposed algorithm.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089067","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

A long track on backbone nodes of content sharing networks 内容共享网络骨干节点上的长轨道

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343728

Qiang Lu, Bo Liu, Huaping Hu

引用次数: 0

Protein subnuclear location based on KLDA with fused kernel and effective fusion representation 基于融合核和有效融合表示的KLDA蛋白亚核定位

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343667

Yaoting Yue, Shunfang Wang

引用次数: 1

Research on warehouse management system based on association rules 基于关联规则的仓库管理系统研究

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343688

Zhimin Chen, Wei Song, Lizhen Liu, Chao Du

引用次数: 2

Iterative sparse channel estimator based on SpaRSA approach 基于SpaRSA方法的迭代稀疏信道估计

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343718

Xiao-jing Shi, Honglei Wang, S. Leung

引用次数: 0

Frequency offset estimation algorithm of spread spectrum coherent heterodyne based on ISFT 基于ISFT的扩频相干外差频偏估计算法

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343713

Cancan Sun, Ronghua Zhou, Hangcheng Han, Xiangyuan Bu

{"title":"Frequency offset estimation algorithm of spread spectrum coherent heterodyne based on ISFT","authors":"Cancan Sun, Ronghua Zhou, Hangcheng Han, Xiangyuan Bu","doi":"10.1109/ICCSNT.2017.8343713","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343713","url":null,"abstract":"Satellite to ground laser uplink is seriously affected by atmospheric environment, resulting in greater power attenuation than downlink. Uplink is used to transmit low speed instructions and control signals. In order to improve the sensitivity of satellite to ground uplink, and reduce the influence of large frequency offset on receiver, coherent heterodyne detection and spread spectrum technique are applied to uplink. To cut down the consumption of resources on the satellite, the inverse sparse Fourier transform (ISFT) is used to reduce the computational complexity of the frequency offset estimation algorithm. The frequency offset estimation algorithm based on ISFT is theoretically analyzed and validated by simulation. The simulation results reveal that compared with the direct detection of 16PPM, the sensitivity of spread spectrum coherent heterodyne detection is improved by 16dB when the error rate is 10−8. In the high signal-to-noise ratio environment at satellite to ground uplink, ISFT can estimate the frequency offset as accurate as IFFT while saving computational complexity.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131313346","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

Data acquisition and researches based on radar echo navigation information technology 基于雷达回波导航信息技术的数据采集与研究

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343687

Hanguang Zhang, Jin Bi, Jie Li, Ke Ma

引用次数: 0