Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services最新文献_第4页

Towards Optimizing Time of File Transfer Among Multiple Smartphones using Wi-Fi Direct 利用Wi-Fi Direct优化多个智能手机之间的文件传输时间

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3004052

Naoto Mizumura, H. Saito, Junji Takahashi, Y. Tobe

引用次数: 2

Milk Carton: Family Tracing and Reunification system using Face Recognition over a DTN with Deployed Computing Nodes 牛奶盒:通过部署计算节点的DTN使用人脸识别的家庭追踪和团聚系统

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3006380

E. M. Trono, Manato Fujimoto, H. Suwa, Yutaka Arakawa, K. Yasumoto

{"title":"Milk Carton: Family Tracing and Reunification system using Face Recognition over a DTN with Deployed Computing Nodes","authors":"E. M. Trono, Manato Fujimoto, H. Suwa, Yutaka Arakawa, K. Yasumoto","doi":"10.1145/3004010.3006380","DOIUrl":"https://doi.org/10.1145/3004010.3006380","url":null,"abstract":"During the recovery period after disasters, Family Tracing and Reunification (FTR) is the process by which separated family members are reunited. Traditional FTR methods rely on paper-based registries and notice boards, which cannot automatically match missing person queries with existing records and cannot be efficiently disseminated. Furthermore, lost children or people with disabilities may not be capable of supplying the text-based personal information required by registry forms. Finally, current digital FTR systems require the Internet for data delivery and storage, which may be unavailable during a disaster scenario. To overcome these limitations, we propose the Milk Carton FTR system. Milk Carton uses the Eigenfaces face recognition algorithm to automatically match missing person queries with existing records, without requiring text-based personal information. The system uses Computing Nodes, commodity devices deployed in evacuation centers, to handle record and query creation, data storage, and matching. To handle data delivery without the Internet, Milk Carton leverages response team vehicles as data ferries. The ferries store, carry, and forward records and queries across the system. In this study, we present the design of the Milk Carton system and initial performance evaluations.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133448882","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

Investigating recognition accuracy improvement by adding user's acceleration data to location and power consumption-based in-home activity recognition system 通过将用户的加速度数据添加到基于位置和功耗的家庭活动识别系统中，研究识别精度的提高

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3004036

Eri Nakagawa, K. Moriya, H. Suwa, Manato Fujimoto, Yutaka Arakawa, Toshiyuki Hatta, S. Miwa, K. Yasumoto

{"title":"Investigating recognition accuracy improvement by adding user's acceleration data to location and power consumption-based in-home activity recognition system","authors":"Eri Nakagawa, K. Moriya, H. Suwa, Manato Fujimoto, Yutaka Arakawa, Toshiyuki Hatta, S. Miwa, K. Yasumoto","doi":"10.1145/3004010.3004036","DOIUrl":"https://doi.org/10.1145/3004010.3004036","url":null,"abstract":"Recently, there are many studies on automatic recognition of activities of daily living (ADL) to provide various services such as elderly monitoring, intelligent concierge, and health support. In particular, real-time ADL recognition is essential to realize an intelligent concierge service since the service needs to know user's current or next activity for supporting it. We have been studying real-time ADL recognition using only user's position data and appliances' power consumption data which are considered to include less privacy information than audio and visual data. In the study, we found that some activities such as reading and operating smartphone that happen in similar conditions cannot be classified with only position and power data. In this paper, we propose a new method that adds the acceleration data from wearable devices for classifying activities happening in similar conditions with higher accuracy. In the proposed method, we use the acceleration data from a smart watch and a smartphone worn by user's arm and waist, respectively, in addition to user's position data and appliances' power consumption data, and construct a machine learning model for recognizing 15 types of target activities. We evaluated the recognition accuracy of 3 methods: our previous method (using only position data and power consumption data); the proposed method using the mean value and the standard deviation of the acceleration norm; and the proposed method using the ratio of the activity topics. We collected the sensor data in our smart home facility for 12 days, and applied the proposed method to these sensor data. As a result, the proposed method could recognize the activities with 57% which is 12 % improvement from our previous method without acceleration data.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123629265","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: 8

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services 第十三届移动和泛在系统:计算网络和服务国际会议附文集

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010

T. Hara, H. Shigeno

引用次数: 3

Robotic SLAM: a Review from Fog Computing and Mobile Edge Computing Perspective 机器人SLAM:从雾计算和移动边缘计算的角度回顾

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3004032

Swarnava Dey, A. Mukherjee

{"title":"Robotic SLAM: a Review from Fog Computing and Mobile Edge Computing Perspective","authors":"Swarnava Dey, A. Mukherjee","doi":"10.1145/3004010.3004032","DOIUrl":"https://doi.org/10.1145/3004010.3004032","url":null,"abstract":"Offloading computationally expensive Simultaneous Localization and Mapping (SLAM) task for mobile robots have attracted significant attention during the last few years. Lack of powerful on-board compute capability in these energy constrained mobile robots and rapid advancement in compute cloud access technologies laid the foundation for development of several Cloud Robotics platforms that enabled parallel execution of computationally expensive robotic algorithms, especially involving multiple robots. In this work the Cloud Robotics concept is extended to include the current emphasis of computing at the network edge nodes along with the Cloud. The requirements and advantages of using edge nodes for computation offloading over remote cloud or local robot clusters are discussed with reference to the ETSI 'Mobile-Edge Computing' initiative and OpenFog Consortium's 'OpenFog Architecture'. A Particle Filter algorithm for SLAM is modified and implemented for offloading in a multi-tier edge+cloud setup. Additionally a model is proposed for offloading decision in such a setup with experiments and results demonstrating the efficacy of the proposed dynamic offloading scheme over static offloading strategies.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129627329","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: 43

A Planning Simulation Tool for Energy Harvesting Applications 用于能量收集应用的规划仿真工具

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3004043

Tatsuya Iizuka, Yoshiaki Narusue, Y. Kawahara, T. Asami

引用次数: 0

In-home Activity and Micro-motion Logging Using Mobile Robot with Kinect 使用带有Kinect的移动机器人进行家庭活动和微运动记录

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3004027

Keita Nakahara, H. Yamaguchi, T. Higashino

引用次数: 6

Cooperative Video Data Transmission for Sewer Inspection Using Multiple Drifting Cameras 基于多漂移摄像机的下水道巡检视频数据协同传输

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3004034

Yudai Tanaka, S. Ishihara

{"title":"Cooperative Video Data Transmission for Sewer Inspection Using Multiple Drifting Cameras","authors":"Yudai Tanaka, S. Ishihara","doi":"10.1145/3004010.3004034","DOIUrl":"https://doi.org/10.1145/3004010.3004034","url":null,"abstract":"Since aged sewer pipes cause severe problems such as sewer leaks and cave-in accidents, inspection of sewer systems is very important. Especially, in Japan, the greater part of sewer systems will reach their life limit in coming 10 years, many local governments have been facing a problem of high monetary and labor cost of sewer inspection and maintenance. To solve the problem, monetary and labor cost-effective schemes for sewer inspection are urgently needed. We have proposed a basic design of a sewer inspection system using multiple wireless drifting camera/sensor nodes. The system does not require any manual operations in a pipe. Thus, the labor cost and operation time can be reduced. In this system, monitoring nodes record the video of the inside of a sewer pipe when they drift in the pipe and then send the recorded video data to multiple access points (APs) placed at manholes. The wireless communication distance between the nodes and each AP is limited due to the severe communication condition in pipes. This makes it difficult to send large size video data from camera nodes to APs. In this paper, we propose a collaborative video transmission scheme in which each node is assigned to take a video of a section of a segment between APs. The scheme makes the size of video data that each node has to send to an AP during its short communication period small. Thus, it enables to reduce the number of APs to collect video and to use the system for pipes with a long interval of manholes. We discuss the detailed design of the scheme and the design of the prototype of the scheme.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"1013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116249283","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

Detecting Moving Objects Using Optical Flow with a Moving Stereo Camera 利用运动立体相机的光流检测运动物体

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3004016

Tetsuro Toda, Gakuto Masuyama, K. Umeda

引用次数: 7

pakapaka Method For BLE Beacon Identification 用于BLE信标识别的pakapaka方法

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI: 10.1145/3004010.3004049

S. Ikeda, K. Kaji

引用次数: 0