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2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)最新文献

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A Parafac-Based Blind Channel Estimation and Symbol Detection Scheme for Massive MIMO Systems 一种基于parafac的大规模MIMO系统盲信道估计和符号检测方案
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00069
Lingxiao Zhao, Shuangzhi Li, Jiankang Zhang, X. Mu
{"title":"A Parafac-Based Blind Channel Estimation and Symbol Detection Scheme for Massive MIMO Systems","authors":"Lingxiao Zhao, Shuangzhi Li, Jiankang Zhang, X. Mu","doi":"10.1109/CYBERC.2018.00069","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00069","url":null,"abstract":"In this paper, a multi-user massive multiple-input and multiple-output (MIMO) uplink system is considered, in which multiple single antenna users communicate with a target BS equipped with a large antenna array. We assume both the BS and K users have no knowledge of channel statement information. For such a system, by utilizing the unique factorization of three-way tensors, we proposed a parafac-based blind channel estimation and symbol detection scheme for the massive MIMO system, the proposed system can ensure the unique identification of the channel matrix and symbol matrix in a noise-free case. In a noisy case, a novel fitting algorithm called constrained bilinear alternating least squares is proposed to efficiently estimate the channel matrix and symbols. Numerical simulation results illustrate that the proposed scheme has a superior bit error ratio and normalized mean square error performance than traditional least square method. In addition, it has a faster convergence speed than typical alternation least square fitting algorithm.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125609324","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
Prediction of Mobile APP Advertising Conversion Rate Based on Machine Learning 基于机器学习的移动APP广告转化率预测
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00058
Juan Liang, Jiapeng Xiu
{"title":"Prediction of Mobile APP Advertising Conversion Rate Based on Machine Learning","authors":"Juan Liang, Jiapeng Xiu","doi":"10.1109/CYBERC.2018.00058","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00058","url":null,"abstract":"With the rapid development of smart phones, mobile advertising has taken up more than half of the advertising market and has great potential in the future. At present, there are many mature researches on the conversion rate of search advertising, but few studies have been done on the conversion rate of mobile APP advertising. This paper studies the preliminary data of Tencent's first social advertising algorithm competition and provides a method for prediction of mobile APP advertising conversion rate based on machine learning.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130614726","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
Single Sample Per Person Face Recognition Based on Sparse Representation with Extended Generic Set 基于扩展泛型集稀疏表示的单样本人脸识别
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00018
L. Qi, Tie Yun, Chengwu Liang, Zizhe Wang
{"title":"Single Sample Per Person Face Recognition Based on Sparse Representation with Extended Generic Set","authors":"L. Qi, Tie Yun, Chengwu Liang, Zizhe Wang","doi":"10.1109/CYBERC.2018.00018","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00018","url":null,"abstract":"The single sample per person(SSPP) face recognition is one of the most essential problems of face recognition. Moreover, the testing samples are typically corrupted by nuisance variables such as expression, illumination and glasses. To address this problem, plenty of methods have been proposed to surmount the adverse effect of variances to testing samples in complex surroundings, but they are not robust. Therefor we proposed the Single sample per person face recognition based on sparse representation with extended generic set (SRGES). First, a set of general sample set were introduced, and the variation information of generic face samples set was extracted and extended to the single training sample set. Then, reconstruction error of testing sample is generated on training samples set by sparse representation model. Finally, the recognition is achieved depending on this sparse reconstruction error. The experimental results on the AR database, Extended Yale B database, CAS-PEAL database and LFW database displayed that the proposed algorithm is robust to variation feature for SSPP face recognition, and outperforms the state-of-art methods.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132610271","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
Design and Optimization of Reconfigurable Data Path for Communication Baseband Signal Processing 通信基带信号处理中可重构数据路径的设计与优化
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00090
Shanhong Zhu, Hai Qin, Bo Liu, Jun Yang
{"title":"Design and Optimization of Reconfigurable Data Path for Communication Baseband Signal Processing","authors":"Shanhong Zhu, Hai Qin, Bo Liu, Jun Yang","doi":"10.1109/CYBERC.2018.00090","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00090","url":null,"abstract":"A Coarse-Grained Reconfigurable Architecture called RASP2.0 is proposed in this paper for communication baseband signal processing. Based on the pipeline bubbles theory, the reconfigurable data path is divided into the data flow between processing elements and the data interaction between reconfigurable arrays and memory structure. To reduce the data transmission delay, the data flow features are summarized based on the locality and lifetime of data. By employing a parallel memory structure combined with the DLT-based data updating strategy, the access performance is improved by 33% on average compared with RASP1.0. As a result, the reconfigurable system presents more performance advantages and flexibility than other similar platforms.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132263085","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 Prototype Air Flow Control System for Home Automation Using MQTT Over Websocket in AWS IoT Core 在AWS物联网核心中使用MQTT Over Websocket的家庭自动化气流控制系统原型
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00032
Nadia Imtiaz Jaya, Md. Farhad Hossain
{"title":"A Prototype Air Flow Control System for Home Automation Using MQTT Over Websocket in AWS IoT Core","authors":"Nadia Imtiaz Jaya, Md. Farhad Hossain","doi":"10.1109/CYBERC.2018.00032","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00032","url":null,"abstract":"Amazon Web Services have recently developed their IoT platform, AWS IoT Core, which integrates all the necessary functions required for developing an IoT system. Our objective in this paper is to explore some of those functions and their integration in our designed project. In light of this, we develop and present a prototype air flow control system for home automation using AWS IoT Core and MQTT protocol over Websocket server. The advantages obtained in the choice of modules, communication protocols and services are explained in depth. System architecture, its implementation and performance analysis are also presented.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133353260","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
Progressive Perceptual Audio Rendering for Large Multi-source Scenes 大型多源场景的渐进式感知音频渲染
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00051
Tian-ping Chen, Tie Yun, L. Qi
{"title":"Progressive Perceptual Audio Rendering for Large Multi-source Scenes","authors":"Tian-ping Chen, Tie Yun, L. Qi","doi":"10.1109/CYBERC.2018.00051","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00051","url":null,"abstract":"Despite recent advances, including hierarchical and sound clustering techniques, perceptual audio rendering technique remains a high challenge for complex virtual scenes with thousands of sound sources due to its high computation cost. In the paper, we first present a spatial-frequency measurement based approach to generate recursive cluster for multiple sound source. This method can handle more than two times the number of sources on consumer 3D audio hardware, with minimal decrease in audio quality. The perceptual pilot was then studied which indicates its necessity to increase the number of different clusters of visible sound source. We present a sound categories based cost metric using this indication. The proposed method preforms well for rendering thousands of sound sources on a workstation.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123884181","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
Metric Dimension and Robot Navigation in Specific Sensor Networks 特定传感器网络中的度量维度与机器人导航
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00072
Z. Shao, Pu Wu, Enqiang Zhu, Lanxiang Chen
{"title":"Metric Dimension and Robot Navigation in Specific Sensor Networks","authors":"Z. Shao, Pu Wu, Enqiang Zhu, Lanxiang Chen","doi":"10.1109/CYBERC.2018.00072","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00072","url":null,"abstract":"The concept of metric dimension was proposed to model robot navigation where the places of navigating agents can change among nodes. The metric dimension md(G) of a graph G is the smallest number k for which G contains a vertex set W such that |W| = k and every pair of vertices of G possess different distances to at least one vertex in W. In this paper, we demonstrate that md(HDN1(n)) = 4 for n ≥ 2, this indicates that in this type of hex derived sensor networks, the least number of nodes needed is 4 for locating any other node in such a sensor network.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125410770","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
CPS Event Driving Method Based on Micro PMU of Distribution Network 基于配电网微PMU的CPS事件驱动方法
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00076
Weijie Dong, Ke-yan Liu, Lijuan Hu
{"title":"CPS Event Driving Method Based on Micro PMU of Distribution Network","authors":"Weijie Dong, Ke-yan Liu, Lijuan Hu","doi":"10.1109/CYBERC.2018.00076","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00076","url":null,"abstract":"With the gradual development of high proportion renewable energy access to distribution network and smart grid, the coupling of physical and information processes in distribution networks are becoming more and more closely coupled. It is a typical Cyber Physical System (CPS). The sequential characteristics of distribution network and the time discrete characteristics of communication systems make the research of distribution network CPS more complex. This paper aims at the dynamic process of distribution network CPS. On the basis of CPS's perception of the environment, explain the applicability and make an analysis from the aspect of CPS integration modelling and large scale simulation of distribution network.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"32 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116693633","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
Mobile Data Gathering and Charging in Wireless Rechargeable Sensor Networks 无线可充电传感器网络中的移动数据采集与充电
2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00074
Hui Huang, Chunlong Li, Fang Liu, H. Lu, Luming Li
{"title":"Mobile Data Gathering and Charging in Wireless Rechargeable Sensor Networks","authors":"Hui Huang, Chunlong Li, Fang Liu, H. Lu, Luming Li","doi":"10.1109/CYBERC.2018.00074","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00074","url":null,"abstract":"In this paper, a joint optimization scheme of data gathering and charging is proposed to achieve the energy balance for wireless rechargeable sensing networks (WRSNs) consisted of one static base sink, one mobile charger sink and many sensor nodes. In this scheme, the urgent degree of charging is designed by considering the residual life time of nodes and the number of neighbor nodes to help determine anchor points in charging plan. In addition, a metric of forwarding cost value is proposed to construct the network topology targeting at the least cost routing path by considering the energy state, distance between nodes and child nodes number. Moreover the performance of WRSNs is analyzed in terms of average energy and energy stand deviation of each node. Simulation results show that WRSNs can achieve good performance by employing the proposed joint optimization scheme.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121568273","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
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