2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)最新文献_第7页

Distributed simultaneous coverage and communication control by mobile sensor networks 移动传感器网络的分布式同步覆盖和通信控制

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032236

Y. Kantaros, M. Zavlanos

{"title":"Distributed simultaneous coverage and communication control by mobile sensor networks","authors":"Y. Kantaros, M. Zavlanos","doi":"10.1109/GlobalSIP.2014.7032236","DOIUrl":"https://doi.org/10.1109/GlobalSIP.2014.7032236","url":null,"abstract":"The purpose of this paper is to propose a distributed control scheme to maximize area coverage by a mobile robot network while ensuring reliable communication between the members of the team. The information that is generated at the sensors depends on the sensing capabilities of the sensors as well as on the frequency at which events occur in their vicinity, captured by appropriate probability density functions. This information is then routed to a fixed set of access points via a multi-hop network whose links model the probability that information packets are correctly decoded at their intended destinations. The proposed distributed control scheme simultaneously optimizes coverage and routing of information by decoupling coverage and routing control. Specifically, optimization of the communication variables is performed periodically in the dual domain. Then, between communication rounds, the robots move according to the solution of a distributed sequential concave program that handles efficiently the introduced nonlinearities in the mobility space. Our method is illustrated in computer simulations.","PeriodicalId":362306,"journal":{"name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127459701","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: 4

Impact of full duplex on resource allocation for small cell networks 全双工对小蜂窝网络资源分配的影响

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032324

Radwa A. Sultan, Lingyang Song, Zhu Han

引用次数: 21

Optimal power allocation for energy harvesting communications with limited channel feedback 有限信道反馈下能量采集通信的最优功率分配

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032105

Rui Ma, Wei Zhang

引用次数: 16

A single parity check forward error correction method for high speed I/O 用于高速I/O的单奇偶校验前向纠错方法

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032198

Shiva Kiran, S. Hoyos, S. Palermo

引用次数: 2

Image quality assessment and color difference 图像质量评价和色差

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032265

Dogancan Temel, G. Al-Regib

引用次数: 2

Generalized nested sampling for compression and exact recovery of symmetric Toeplitz matrices 对称Toeplitz矩阵的压缩和精确恢复的广义嵌套抽样

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032156

Heng Qiao, P. Pal

引用次数: 18

A joint channel-aware and buffer-aware scheduling for energy-efficient transmission over fading channels with long coherent time 基于信道感知和缓冲感知的长相干衰落信道节能传输联合调度

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032087

Xiang Chen, Wei Chen

引用次数: 6

Level set estimation with dynamic sparse sensing 基于动态稀疏感知的水平集估计

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032165

Jing Yang, Zuoen Wang, Jingxian Wu

引用次数: 6

Positive developmental video classification for children 积极发展的儿童视频分类

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032272

Joseph Santarcangelo, Xiao-Ping Zhang

{"title":"Positive developmental video classification for children","authors":"Joseph Santarcangelo, Xiao-Ping Zhang","doi":"10.1109/GlobalSIP.2014.7032272","DOIUrl":"https://doi.org/10.1109/GlobalSIP.2014.7032272","url":null,"abstract":"This paper introduces the concept of positive developmental video classification. The work focuses on developing features and classification systems that can be used to classify content based on the impact on the cognitive, social and academic development of children according to an expertly assigned predefined positive or negative cognitive impact category. We solve the problem by developing novel features that gauge the amount of social interaction, attention disrupting fast-paced content, incorporate music information retrieval features and combine these features with other video content analysis features. This information is then used to determine what content has a positive impact on a child's development. It was found that the low-level features can be used for classification and do have correlation with expertly assigned predefined impact categories. To ensure the validation results are not based on similarities between content, a new model validation technique is developed to ensure that the videos are classified with respect to their impact on development. In addition, we developed a data set of videos that has been classified as having a positive or negative impact on children, based on expert experimental results in the psychological literature. This data set can be used as a benchmark for future research. Validation results found the system had almost 30% better accuracy than state-of-the-art video genre classification systems and over 65% better performance than the arousal time curve used in affective video content modelling.","PeriodicalId":362306,"journal":{"name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122994321","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

Compressive imaging via approximate message passing with wavelet-based image denoising 基于小波图像去噪的近似信息传递压缩成像

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2014-12-01 DOI: 10.1109/GlobalSIP.2014.7032152

Jin Tan, Yanting Ma, D. Baron

引用次数: 6