Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China最新文献_第3页

AP Deployment Optimization Based on Bluetooth Fingerprint Database Discrimination 基于蓝牙指纹库识别的AP部署优化

Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China Pub Date : 1900-01-01 DOI: 10.4108/eai.29-6-2019.2282130

Haoliang Ren, Z. Tian, Mu Zhou, Xiaoxiao Jin, Shuai Lu

引用次数: 0

A fast stitching method for container images using texture and weighted speed 一种基于纹理和加权速度的集装箱图像快速拼接方法

Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China Pub Date : 1900-01-01 DOI: 10.4108/eai.29-6-2019.2283071

Quanling Meng, Mengqin Zhang, W. Zhang

引用次数: 1

Edge Computing Enabled Cognitive Portable Ground Penetrating Radar 基于边缘计算的认知便携式探地雷达

Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China Pub Date : 1900-01-01 DOI: 10.4108/eai.29-6-2019.2282886

Dalei Wu, Maxwell M. Omwenga, Yu Liang, Li Yang, D. Huston, Tian Xia

{"title":"Edge Computing Enabled Cognitive Portable Ground Penetrating Radar","authors":"Dalei Wu, Maxwell M. Omwenga, Yu Liang, Li Yang, D. Huston, Tian Xia","doi":"10.4108/eai.29-6-2019.2282886","DOIUrl":"https://doi.org/10.4108/eai.29-6-2019.2282886","url":null,"abstract":". With distributed communication, computation, and storage resources close to end users, edge computing has great potentials to support delay-sensitive industrial applications involving intelligent edge devices. Cognitive portable ground penetrating radars (GPRs) are expected to achieve high-quality sensing performance in a variety of industrial environments by operating intelligently and adaptively under varying sensing conditions. Although edge computing makes it very promising to develop cognitive portable GPRs, both strict performance requirement and trade-offs between communication and computation pose signiﬁcant challenges. This paper presents a n edge computing framework for cognitive portable GPRs. Speciﬁcally, the system architecture of an EC-enabled cognitive portable GPR is developed. Based on the iden tiﬁcation of various involved computation tasks, an ofﬂoading policy was proposed to determine whether computation tasks should be executed locally or ofﬂoaded to the edge server. Experimental results show the efﬁcacy of the proposed methods. The framework also provides insight into the design of cognitive Internet of things (IoT) supported by edge computing.","PeriodicalId":150308,"journal":{"name":"Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129851343","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 Novel Abnormal Driving Detection Method via Deep Learning in Wireless Sensor Network 基于深度学习的无线传感器网络异常驾驶检测方法

Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China Pub Date : 1900-01-01 DOI: 10.4108/eai.29-6-2019.2282840

Xi Liu, Mingyuan Luo, Wei Wang, Wei Huang

{"title":"A Novel Abnormal Driving Detection Method via Deep Learning in Wireless Sensor Network","authors":"Xi Liu, Mingyuan Luo, Wei Wang, Wei Huang","doi":"10.4108/eai.29-6-2019.2282840","DOIUrl":"https://doi.org/10.4108/eai.29-6-2019.2282840","url":null,"abstract":"In this study, the abnormal driving detection in the current research hotspot wireless sensor network (WSN) is emphatically discussed, and three improved fusion models based on Densely Connected Convolutional Network (DenseNet), which is named Wide Group Densely Network (WGD), Wide Group Residual Densely Network 1 (WGRD1), and Wide Group Residual Densely Network 2 (WGRD2) respectively, are proposed for the first time. WGD introduces two deep learning network indicators, width and cardinality, into DenseNet. WGRD1 and WGRD2, on the basis of WGD, use two different methods to introduce the important idea of ResNet into DenseNet, which is residual-block output and direct-connected streams are added by elements. These three models use end-to-end learning for training. The experimental analysis based on the abnormal driving image data set shows that the performance of our improved model for abnormal driving detection in the wireless sensor network is better than several excellent deep learning models and traditional deep learning models.","PeriodicalId":150308,"journal":{"name":"Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133804528","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

LTE Antenna Port Number Detection Algorithm Based on Kalman Autoregression Filtering 基于卡尔曼自回归滤波的LTE天线端口号检测算法

Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China Pub Date : 1900-01-01 DOI: 10.4108/eai.29-6-2019.2282056

Pengchun Jiang, Z. Tian, Mu Zhou, Zhihao Li

引用次数: 0