2017 6th International Conference on Computer Science and Network Technology (ICCSNT)最新文献_第7页

Study on software part of ultrasonic ranging system based on variable emission wavelength 基于变发射波长的超声测距系统软件部分研究

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/iccsnt.2017.8343676

Hongli Tai, Huan Zhang, Song Yang

引用次数: 1

OSO: Mitigating data flooding attack in Wi-Fi offloading OSO:减轻Wi-Fi卸载中的数据洪水攻击

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343727

Zhicheng Liu, Junxing Zhang

引用次数: 1

Analysis of TV audience flow based on the lingered channel matrix 基于徘徊频道矩阵的电视观众流分析

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343684

Fulian Yin, Xuesong Bai, Jianping Chai, Wenwen Zhang

{"title":"Analysis of TV audience flow based on the lingered channel matrix","authors":"Fulian Yin, Xuesong Bai, Jianping Chai, Wenwen Zhang","doi":"10.1109/ICCSNT.2017.8343684","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343684","url":null,"abstract":"At present, the analysis of television ratings gives priority to ordinary sectional analysis which is represented by audience ratings, market share and other indices, and has little analysis of the audience flowing. Additionally, traditional research method of audience flowing has some problems such as high time cost, large storage space, weak reusability and no analysis about overall flow trend or audience clustering. This paper proposes a new scheme on the analysis of audience flowing. It is based on the established lingered channel matrix produced by raw viewing data. From the angle of channels (or programs) and users, this paper adopts the conventional mathematical statistics method and clustering algorithm to reflect audience flowing between different channels and their own viewing behavior in detail. The lingered channel matrix established by the scheme clearly shows the channel that audience linger at every moment, leaving the original viewing data away and avoiding the problem of high cost of time and storage space by repeatedly reading and processing raw data. Moreover, the matrix provides the data base for the subsequent extension research, in order to realize the analysis of TV audience flowing in a deeply vertical level.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"40 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":"126671607","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 modified real time dynamic spectrum adjustment scheme in FM IBOC broadcasting 一种改进的调频IBOC广播实时动态频谱调整方案

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343739

Fangfei Hu, Chaoshi Cai, F. Hu, Yanqiong Zhuang

{"title":"A modified real time dynamic spectrum adjustment scheme in FM IBOC broadcasting","authors":"Fangfei Hu, Chaoshi Cai, F. Hu, Yanqiong Zhuang","doi":"10.1109/ICCSNT.2017.8343739","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343739","url":null,"abstract":"How to improve the quality of transmission and increase the speed of digital signal transmission is the inevitable trend of the research of digital broadcasting. IBOC (In-Band On-Channel) is the best choice of analog broadcasting to digital analog broadcasting simultaneously and to digital broadcasting. The real time dynamic spectrum adjustment technology is introduced into the IBOC broadcasting in this paper, the scheme is based on the dynamic spectrum IBOC scheme. Just according to the current frame and the existing audio quality, with the method of statistical analysis, the digital bandwidth of the current frame is adjusted by improving NMRref reference table, which can be adopted to solve the problem of time-varying interference between digital and analog signal. This algorithm uses the objective evaluation index based on perceptual evaluation of audio quality as the evaluation standard of audio quality and proposes an evaluation system suitable for this IBOC system project, which takes the time-varying noise and the subjective feelings into consideration. Finally, the ability of digital signal transmission will be enhanced, so as to realize real-time dynamic spectrum adjustment in real sense.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"388 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":"115301942","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

Face detection based on multi task learning and multi layer feature fusion 基于多任务学习和多层特征融合的人脸检测

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343704

Yanan Zhang, Hongyu Wang, Fang Xu

{"title":"Face detection based on multi task learning and multi layer feature fusion","authors":"Yanan Zhang, Hongyu Wang, Fang Xu","doi":"10.1109/ICCSNT.2017.8343704","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343704","url":null,"abstract":"Face detection and facial feature location are two key parts of face recognition system. Usually, these two links are treated as two separate tasks, ignoring the correlation between tasks. In addition, most of the face detection algorithms based on deep convolution neural networks focus only on high-level semantic information of the image, and do not take full advantage of the underlying details of the image. In order to further improve the performance of face detection, we propose a face detection algorithm based on multi task learning and multilayer feature fusion. The proposed method integrates three tasks, namely, face classification, facial feature location, and bounding box regression, into a framework that takes full advantage of the correlation between multiple tasks and performs simultaneous learning over multiple tasks. At the same time, in order to make full use of the low-level details and high-level semantic information of the image, multi layer feature fusion technology is adopted. Finally, we test it on the face detection evaluation database FDDB. Experimental results show that the proposed algorithm has good performance in face detection.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"4 1-2 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":"121230982","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: 3

Fully automated segmentation of coronary lumen based on the directional minimal path and image fusion 基于定向最小路径和图像融合的冠状动脉腔全自动分割

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343735

Liu Liu, Yukao Yao, Ning Sun, G. Han

{"title":"Fully automated segmentation of coronary lumen based on the directional minimal path and image fusion","authors":"Liu Liu, Yukao Yao, Ning Sun, G. Han","doi":"10.1109/ICCSNT.2017.8343735","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343735","url":null,"abstract":"The segmentation of coronary lumen is a challenging but important task in clinical application of cardiac computed tomography (CTA). In this paper, a new method is proposed to segment the coronary lumen in a fully automatic manner. This method is based on the directional minimal path and the level-set segmentation in the 2D fused image. The directional minimal path is first used automatically to track the coronary centerlines of the main branches, which provides the center location of the coronary lumen. Then, based on the coronary centerline, the cross-sectional planes are calculated in the 3D CTA images. In order to increase the successful rate of the lumen segmentation, the gray-filtered and vesselness-enhanced images are calculated respectively in the cross-sectional planes and the 3D stacking of the cross-sectional planes. And, the two enhanced images are fused to generate the fused image. Finally, the level-set algorithm is used to segment the coronary lumen in the cross-sectional planes of the fused image. The proposed method is validated by segmenting the lumen of the three main coronary branches. The DICE (Dice coefficients) are 83.2% (RCA), 81.7% (LAD) and 83.5% (LCX), respectively.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"84 11 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":"122453278","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

Fast load group resources regulation based on logical channel mechanism 基于逻辑通道机制的快速负载组资源调节

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343722

J. Xue, Dongsheng Jing, F. Wang, Peng Xu, Yi Sun, Bin Li

引用次数: 0

A multi-service adaptive wireless communication protocol for industrial networks 面向工业网络的多业务自适应无线通信协议

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343721

Shan Zhu, Shi Xiao

引用次数: 0

Estimating the number of multiple jamming attackers in Vehicular Ad Hoc Network 车载自组网中多重干扰攻击者数量估计

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343720

Liang Pang, Pengze Guo, Xiao Chen, Jiabin Li, Zhi Xue

引用次数: 7

Big data analysis for SCIE research output of Chinese computer science 中国计算机科学SCIE研究成果的大数据分析

2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2017-10-01 DOI: 10.1109/ICCSNT.2017.8343699

Li Yang, Jing Zhou, Jun Shi, Yue-Kao Li

引用次数: 2