2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)最新文献_第8页

D2CyberSoft: A design automation tool for soft error analysis of Dependable Cybercars D2CyberSoft:可靠赛博车软误差分析的设计自动化工具

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444823

Arslan Munir, F. Koushanfar

{"title":"D2CyberSoft: A design automation tool for soft error analysis of Dependable Cybercars","authors":"Arslan Munir, F. Koushanfar","doi":"10.1109/CCNC.2016.7444823","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444823","url":null,"abstract":"Next generation of automobiles (also known as cybercars) will escalate the proliferation of electronic control units (ECUs) to implement novel distributed control applications such as steer-by-wire (SBW), brake-by-wire, etc. Although the use of electronic embedded systems improves performance, driving comfort, safety, and economy for the customer; this electronic control of automotive systems makes these systems susceptible to soft errors, which can significantly reduce the availability of these systems. Enhancing reliability and availability at a minimum additional cost is a major challenge in automotive systems design. In this paper, we propose D2CyberSoft-a design automation tool for cybercars that facilitate cybercar designers in selecting designs with minimum cost overhead to make safety-critical automotive functions less vulnerable to soft errors. D2CyberSoft aids designers by providing built-in models, easy to specify inputs, and easy to interpret outputs. We elaborate Markov models that form the basis of D2CyberSoft using SBW as a case study. We further provide evaluation insights obtained from D2CyberSoft.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115896505","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

Discovering key moments in social media streams 发现社交媒体流中的关键时刻

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444808

C. Buntain, Jimmy J. Lin, J. Golbeck

{"title":"Discovering key moments in social media streams","authors":"C. Buntain, Jimmy J. Lin, J. Golbeck","doi":"10.1109/CCNC.2016.7444808","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444808","url":null,"abstract":"This paper introduces a general technique, called LABurst, for identifying key moments, or moments of high impact, in social media streams without the need for domain-specific information or seed keywords. We leverage machine learning to model temporal patterns around bursts in Twitter's unfiltered public sample stream and build a classifier to identify tokens experiencing these bursts. We show LABurst performs competitively with existing burst detection techniques while simultaneously providing insight into and detection of unanticipated moments. To demonstrate our approach's potential, we compare two baseline event-detection algorithms with our language-agnostic algorithm to detect key moments across three major sporting competitions: 2013 World Series, 2014 Super Bowl, and 2014 World Cup. Our results show LABurst outperforms a time series analysis baseline and is competitive with a domain-specific baseline even though we operate without any domain knowledge. We then go further by transferring LABurst's models learned in the sports domain to the task of identifying earthquakes in Japan and show our method detects large spikes in earthquake-related tokens within two minutes of the actual event.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465866","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: 11

Leaky streams: Identifying variable bitrate DASH videos streamed over encrypted 802.11n connections 泄漏流:识别通过加密802.11n连接传输的可变比特率DASH视频

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444944

Andrew Reed, Benjamin Klimkowski

引用次数: 35

BeC3: A Crowd-centric composition testbed for the Internet of Things BeC3:以人群为中心的物联网组合测试平台

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444764

Zahra Movahedi, Sylvain Cherrier, Y. Ghamri-Doudane

引用次数: 0

Enhancement of HCCA utilizing capture effect to support high QoS and DCF friendliness 利用捕获效应增强HCCA，支持高QoS和DCF友好性

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-30 DOI: 10.1109/CCNC.2016.7444802

M. Kanda, J. Katto, T. Murase

引用次数: 5

Effect of CSI quantization on the average rate in MU-MIMO WLANs CSI量化对MU-MIMO无线局域网平均速率的影响

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-30 DOI: 10.1109/CCNC.2016.7444893

Sanjeeb Shrestha, Gengfa Fang, E. Dutkiewicz, Xiaojing Huang

{"title":"Effect of CSI quantization on the average rate in MU-MIMO WLANs","authors":"Sanjeeb Shrestha, Gengfa Fang, E. Dutkiewicz, Xiaojing Huang","doi":"10.1109/CCNC.2016.7444893","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444893","url":null,"abstract":"In Multi-User Multiple Input Multiple Output (MU-MIMO) Wireless Local Area Networks (WLANs), the optimal-solution such as Dirty Paper Coding (DPC) or the sub-optimal solution Zeroforcing Beamforming (ZFB) with perfect Channel State Information (CSI), is practically limited due to the complexity and the non-availability of perfect CSI at the Access Points (APs)/transmitters. In such a context, ZFB based on channel quantization available at the APs (ZFQ) is the obvious choice for the Multi-User transmission strategy. However, since the quantized CSI is used instead of the perfect CSI at the APs, the quantization error and its impact on the average rate for ZFQ have to be quantified in MU-MIMO WLAN settings. In this paper, we derive a closed-form expression for the upper bound of the channel quantization error and the average rate reduction due to the quantization error with respect to the perfect CSI at the APs. In MU-MIMO WLAN settings, our analytical and numerical studies show that, with an increasing number of antennas at the clients, both the quantization error bound and the average rate reduction increase for ZFQ, in comparison to the ZFB with the perfect CSI.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115273378","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

Cache protection method based on prefix hierarchy for content-oriented network 面向内容网络中基于前缀层次结构的缓存保护方法

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-30 DOI: 10.1109/CCNC.2016.7444816

Takashi Kamimoto, Kenta Mori, Sayaka Umeda, Yuri Ohata, H. Shigeno

{"title":"Cache protection method based on prefix hierarchy for content-oriented network","authors":"Takashi Kamimoto, Kenta Mori, Sayaka Umeda, Yuri Ohata, H. Shigeno","doi":"10.1109/CCNC.2016.7444816","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444816","url":null,"abstract":"Cache pollution attack is one of the prominent problems for Named Data Networking (NDN). Attackers pollute a cache of NDN by contents which are not popular among normal users. Normal users take more time to obtain contents due to the attack. There are some countermeasures against cache pollution attack in NDN, but most of them focus on full content names. Using full names needs a large amount of storage cost. In this paper, we propose a cache protection method against cache pollution attack based on hierarchy of content name prefixes in Named Data Networking (CPMH). CPMH can defend caches from malicious users and alleviate the influence of attack after detecting it. The purpose of CPMH is maintaining the accessibility of normal users to obtain contents. CPMH alleviates cache hit ratio degradation caused by attack. In CPMH, each router identifies the prefixes of contents requested by attackers based on hierarchy of content name prefixes and protects its own cache. We compare CPMH with the related work by simulation. As a result, we confirm the effectiveness of CPMH against cache pollution attack.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121645988","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: 19

Train ticket gate system employing optical wireless communications 列车检票系统采用光无线通信

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-30 DOI: 10.1109/CCNC.2016.7444790

Khemry Khourn, Jiang Liu, S. Shimamoto

引用次数: 0

Enriched Training Database for improving the WiFi RSSI-based indoor fingerprinting performance 丰富的训练数据库，提高基于WiFi rssi的室内指纹识别性能

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-30 DOI: 10.1109/CCNC.2016.7444904

Filip Lemic, V. Handziski, G. Caso, L. D. Nardis, A. Wolisz

{"title":"Enriched Training Database for improving the WiFi RSSI-based indoor fingerprinting performance","authors":"Filip Lemic, V. Handziski, G. Caso, L. D. Nardis, A. Wolisz","doi":"10.1109/CCNC.2016.7444904","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444904","url":null,"abstract":"The interest for RF-based indoor localization, and in particular for WiFi RSSI-based fingerprinting, is growing at a rapid pace. This is despite the existence of a trade-off between the accuracy of location estimation and the density of a laborious and time consuming survey for collecting training fingerprints. A generally accepted concept of increasing the density of a training dataset, without an increase in the amount of physical labor and time needed for surveying an environment for additional fingerprints, is to leverage a propagation model for the generation of virtual training fingerprints. This process, however, burdens the user with an overhead in terms of implementing a propagation model, defining locations of virtual training fingerprints, generating virtual fingerprints, and storing the generated fingerprints in a training database. To address this issue, we propose the Enriched Training Database (ETD), a web-service that enables storage and management of training fingerprints, with an additional “enriching” functionality. The user can leverage the enriching functionality to automatically generate virtual training fingerprints based on propagation modeling in the virtual training points. We further propose a novel method for defining locations of virtual training fingerprints based on modified Voronoi diagrams, which removes the burden of defining virtual training points manually and which automatically “covers” the regions without sufficient density of training fingerprints. The evaluation in our testbed shows that the use of automated generation of virtual training fingerprints in ETD results in more than 25% increase in point accuracy and 15% in room-level accuracy of fingerprinting.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134350801","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: 21

Indoor localization using FM and DVB-T signals 利用调频和DVB-T信号进行室内定位

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-30 DOI: 10.1109/CCNC.2016.7444902

Roberto Carvalho, Shangyi Yang, Yao-Hua Ho, Ling-Jyh Chen

引用次数: 2