2016 8th International Conference on Communication Systems and Networks (COMSNETS)最新文献_第4页

Estimating the real with the virtual: How does the accuracy relate to the internet penetration? 以虚估实:准确度与互联网普及率有何关系?

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7440009

Ignacio Castro, Sergey Gorinsky

引用次数: 0

Cumulant based automatic modulation classification of QPSK, OQPSK, 8-PSK and 16-PSK 基于累积量的QPSK、OQPSK、8-PSK和16-PSK的自动调制分类

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7439996

Dibyajyoti Das, P. Bora, R. Bhattacharjee

引用次数: 14

Efficient ECG data compression and transmission algorithm for telemedicine 用于远程医疗的高效心电数据压缩与传输算法

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7439988

C. Jha, M. Kolekar

{"title":"Efficient ECG data compression and transmission algorithm for telemedicine","authors":"C. Jha, M. Kolekar","doi":"10.1109/COMSNETS.2016.7439988","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439988","url":null,"abstract":"This paper presents an efficient electrocardiogram (ECG) data compression and transmission algorithm based on discrete wavelet transform and run length encoding. The proposed algorithm provides comparatively high compression ratio and low percent root-mean-square difference values. 48 records of ECG signals are taken from MIT-BIH arrhythmia database for performance evaluation of the proposed algorithm. Each record of ECG signals are of duration one minute and sampled at sampling frequency of 360 Hz over 11-bit resolution. Discrete wavelet transform has been used by means of linear orthogonal transformation of original signal. Using discrete wavelet transform, signal can be analyzed in time and frequency domain both. It also preserves the local features of the signal very well. After thresholding and quantization of wavelet transform coefficients, signals are encoded using run length encoding which improves compression significantly. The proposed algorithm offers average values of compression ratio, percentage root mean square difference, normalized percentage root mean square difference, quality score and signal to noise ratio of 44.0, 0.36, 5.87, 143, 3.53 and 59.52 respectively over 48 records of ECG data.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133021363","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: 20

On the topology of Indian and Western road networks 关于印度和西方道路网络的拓扑结构

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7440027

Sarath Babu, B. S. Manoj

引用次数: 6

Estimating the degree centrality ranking 估计度中心性排序

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7440022

A. Saxena, Vaibhav Malik, S. Iyengar

引用次数: 19

Image-based data interfaces revisited: Barcodes and watermarks for the mobile and digital worlds 重新审视基于图像的数据接口:移动和数字世界的条形码和水印

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7440021

Gaurav Sharma

引用次数: 7

cStream: Cloud based high performance video delivery network cStream:基于云的高性能视频传输网络

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7439990

V. Mann, Aastha Tripathi, S. Ghosal

{"title":"cStream: Cloud based high performance video delivery network","authors":"V. Mann, Aastha Tripathi, S. Ghosal","doi":"10.1109/COMSNETS.2016.7439990","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439990","url":null,"abstract":"Live streaming and video-on demand are increasing at a rapid pace. Global Over-the-top (OTT) video market is estimated to grow to $37.2 billion by 2017. However, live video streaming continues to suffer from high buffering ratios, high join times, high join failures and low average bit rates. The economic impact of these user experience metrics is huge. A recent white paper from Akamai states that 10-second delay in video streaming caused by startup time triggers over a 45% decline in viewership (and revenue). Recent studies have shown that traditional CDNs account for more than 20% of these join failure and bit rate degradation issues. In this paper, we present CSTREAM- a high performance cloud based live video delivery network. CSTREAM leverages the Cloud provider's global footprint, Cloud provider's high performance backbone network between different data centers, social media analytics and a UDP based fast data transfer protocol to optimize the quality of experience for end users, and the total cost incurred by the cloud provider in terms of network bandwidth and compute resources. CSTREAM allows a video broadcaster to be redirected to its closest publishing point (PP - hosted inside the “closest” Cloud data center), and then transfers the live stream at high speed using a UDP based fast protocol to one or more receiver side proxy (RSP) nodes (hosted on different Cloud data centers) worldwide, before being delivered to the eventual receiver devices. Our preliminary experiments indicate that CSTREAM can improve throughput and transfer times by up to 14 times for a transmission across the globe from San Jose to Hong Kong.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117197574","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

A framework of community inspired distributed message dissemination and emergency alert response system over smart phones 基于智能手机的社区分布式消息传播和紧急警报响应系统框架

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7439956

Abhiroop Bhatnagar, Amit Kumar, R. Ghosh, R. Shyamasundar

引用次数: 7

Spherule diagrams with graph for social network visualization 球体图与图形的社会网络可视化

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7439961

Mithileysh Sathiyanarayanan, Donato Pirozzi

{"title":"Spherule diagrams with graph for social network visualization","authors":"Mithileysh Sathiyanarayanan, Donato Pirozzi","doi":"10.1109/COMSNETS.2016.7439961","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439961","url":null,"abstract":"As social network information keeps growing, there is always a need for better information visualization techniques for carrying out multifarious analysis, which is commonly called as social network analysis. Social networks have become a big platform for advertisements, where a company targets highly connected than to more isolated users. To target highly connected users and their activities, visualizations such as Euler diagrams, Treemap diagrams, graphs and their combinations were tested by various researchers. Though Euler diagrams combined with graph and Treemap diagrams with graph have provided some interesting results, the one question yet to be answered is the scalability. In this paper, we propose a novel visual technique, “Spherule diagrams with graph”, which addresses the scalability issue. The novel technique is then compared with the traditional Euler diagrams with graph using a twitter case study in an empirical form. Twenty-eight participants were exposed to eighteen diagrams (nine diagrams of each type of visualization) in a software which recorded accuracy and response time (i.e., performance measure). The results of 504 observations indicate that (a) there is no significant difference between the visualizations in terms of accuracy and (b) there is a significant difference between the visualizations in terms of response time. Also, users were asked to aggrandize between the two visualizations (i.e., preference measure), where 75% preferred Spherule diagrams with graph for its simplicity, comprehensiveness, navigation, alignment (layout), set ordering and data items ordering characteristics. We conclude that, Spherule diagrams with graph will be beneficial for researchers and practitioners in the information visualization community who are exploring social networks for business.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122584117","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: 14

Conflict graph based Community Detection 基于冲突图的社区检测

2016 8th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 2016-03-24 DOI: 10.1109/COMSNETS.2016.7439934

Priti Singh, Abhishek Chakraborty, B. S. Manoj

{"title":"Conflict graph based Community Detection","authors":"Priti Singh, Abhishek Chakraborty, B. S. Manoj","doi":"10.1109/COMSNETS.2016.7439934","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439934","url":null,"abstract":"Community is a network's subgraph where vertices share similar properties and reflect interesting characteristics for understanding complex networks more closely. Therefore, community structure analysis is important in understanding and exploring complex networks and helps in describing relationship among nodes in a network. However, efficiently finding communities in a complex network still remains an open problem. Since there exists numerous ways of defining a community, existing strategies have adopted different parameters to reflect varied behavior of a community structure and trying to give a coarser or finer community distribution. In this paper, we propose Conflict graph Transform based Community Detection (CTCD) strategy to improve the quality of community distributions. CTCD focuses on the impact of degree of influence to detect more favorable community partitions. A well known measure, known as Surprise, is used to evaluate and compare the quality of the community distributions obtained using CTCD. Finally, in order to study the performance and usefulness of our strategy, CTCD is applied in real-world networks. Using CTCD, we are able to obtain better community distributions with higher Surprise value in real-world networks. We observe that 1-hop and 2-hop influences improve the Surprise value in higher and lower average clustering coefficient networks, respectively. Moreover, CTCD can efficiently extract the hierarchical nature of communities within networks.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130937184","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