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Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks最新文献

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CAR - a deep learning structure for concurrent activity recognition: poster abstract CAR -一个用于并发活动识别的深度学习结构:海报摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055058
Yanyi Zhang, Xinyu Li, Jianyu Zhang, Shuhong Chen, Moliang Zhou, Richard A. Farneth, I. Marsic, R. Burd
{"title":"CAR - a deep learning structure for concurrent activity recognition: poster abstract","authors":"Yanyi Zhang, Xinyu Li, Jianyu Zhang, Shuhong Chen, Moliang Zhou, Richard A. Farneth, I. Marsic, R. Burd","doi":"10.1145/3055031.3055058","DOIUrl":"https://doi.org/10.1145/3055031.3055058","url":null,"abstract":"We introduce the Concurrent Activity Recognizer (CAR) - an efficient deep learning structure that recognizes complex concurrent teamwork activities from multimodal data. We implemented the system in a challenging medical setting, where it recognizes 35 different activities using Kinect depth video and data from passive RFID tags on 25 types of medical objects. Our preliminary results showed our system achieved an 84% average accuracy with 0.20 F1-Score.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116573107","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
Video streaming in multi-hop aerial networks: demo abstract 多跳空中网络中的视频流:演示摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055047
L. Pinto, L. Almeida, Anthony G. Rowe
{"title":"Video streaming in multi-hop aerial networks: demo abstract","authors":"L. Pinto, L. Almeida, Anthony G. Rowe","doi":"10.1145/3055031.3055047","DOIUrl":"https://doi.org/10.1145/3055031.3055047","url":null,"abstract":"Recent advances in Unmanned Aerial Vehicles (UAVs) have enabled countless new applications in the domain of aerial sensing. In scenarios such as intrusion detection, target tracking and facility monitoring it is important to reach a given area of interest (AOI), and create an online data streaming connection to a monitoring ground station (GS) for immediate delivery of content to the operator. In previous work, we showed that a multi-hop line network can increase the range of the mission by finding the optimal number of relay UAVs, and their optimal placement. In this demo, we show that CSMA (typical 802.11's medium access protocol) behaves poorly in this type of networks due to mutual interference, and that TDMA is a better alternative. We will also discuss how changing slot width online can overcome typical and less known TDMA in-efficiencies, and therefore reach maximum end-to-end throughput and low delay.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"84 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121215598","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: 5
Block cycle length-based asymmetric rendezvous protocol for IoT applications: poster abstract 物联网应用中基于块周期长度的非对称交会协议:海报摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055052
Jong-Hoon Youn, W. Lee, Teukseob Song
{"title":"Block cycle length-based asymmetric rendezvous protocol for IoT applications: poster abstract","authors":"Jong-Hoon Youn, W. Lee, Teukseob Song","doi":"10.1145/3055031.3055052","DOIUrl":"https://doi.org/10.1145/3055031.3055052","url":null,"abstract":"In the Internet of Things (IoT) environment, a sensor network protocol must satisfy various application-specific requirements such as synchronous, asynchronous, symmetric, and asymmetric operations. Most block design-based neighbor discovery protocols can not support asymmetric operations. In this paper, we propose a new block cycle length-based asymmetric rendezvous protocol for neighbor discovery. The proposed protocol has better energy efficiency and shorter latency than existing asynchronous neighbor discovery protocols since it is based on optimized block designs.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115232138","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 LoRa wireless smart badge for enhancing museum visitors' experience: demo abstract 一种增强博物馆参观者体验的LoRa无线智能徽章:演示摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055035
Chia-Min Su, Cheng-Yu Shi, Yong-Lin Wu, Huang-Chen Lee
{"title":"A LoRa wireless smart badge for enhancing museum visitors' experience: demo abstract","authors":"Chia-Min Su, Cheng-Yu Shi, Yong-Lin Wu, Huang-Chen Lee","doi":"10.1145/3055031.3055035","DOIUrl":"https://doi.org/10.1145/3055031.3055035","url":null,"abstract":"This paper presents a smart badge system for managing museum visitors and improving their viewing experience. The badge uses a LoRa wireless interface for two-way long-distance communication with tour guides and the museum's control center. The control center can collect information such as the visitors' viewing p, location, and status of activity level, enabling it to wirelessly send suggestions of exhibits and visiting paths to visitors, avoiding the overcrowding of visitors in one location. Meanwhile, visitors can communicate with the control center to update their locations and ask simple questions via the badge. In this paper, we introduce the system architecture and the prototype smart badge that we used to evaluate the performance of this system.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121217189","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
User authentication using wrist mounted inertial sensors: poster abstract 用户认证使用腕上安装的惯性传感器:海报摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055063
M. A. S. Mondol, I. Emi, S. Preum, J. Stankovic
{"title":"User authentication using wrist mounted inertial sensors: poster abstract","authors":"M. A. S. Mondol, I. Emi, S. Preum, J. Stankovic","doi":"10.1145/3055031.3055063","DOIUrl":"https://doi.org/10.1145/3055031.3055063","url":null,"abstract":"Smart wrist devices available today like smart watches and fitness trackers are usually enriched with inertial sensors such as accelerometers and gyroscopes that can be used to capture wrist motions. This opens an opportunity to use these devices for user authentication, exploiting an important biometric trait of a user: the wrist gestures during performing a signature in the air. In contrast to traditional authentication methods, the gestures can be captured while signing in the air freely with no need for any input media like keypads and signature capture devices. This paper presents result from a preliminary study that shows the potential of the proposed approach to be used for robust user authentication.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131576948","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: 5
A wireless sensor network simulator focuses on imitating wireless charging vehicle: demo abstract 一种模拟无线充电汽车的无线传感器网络模拟器:演示摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055037
Shuo-Han Chen, Yu-Pei Liang, Chi-Heng Lee, I-Ju Wang, W. Shih
{"title":"A wireless sensor network simulator focuses on imitating wireless charging vehicle: demo abstract","authors":"Shuo-Han Chen, Yu-Pei Liang, Chi-Heng Lee, I-Ju Wang, W. Shih","doi":"10.1145/3055031.3055037","DOIUrl":"https://doi.org/10.1145/3055031.3055037","url":null,"abstract":"In this live demonstration, we would like to present a simulation framework for simulating the behaviors of Wireless Sensor Network (WSN) and Wireless Charging Vehicle (WCV). Different to general purpose WSN simulators, the proposed simulation framework focuses on the simulation of mobile vehicles and wireless power transfer techniques. Besides, the proposed framework provides an easy-to-use user interface and a well structured system architecture. The proposed framework aims to eliminate the need for researchers to build their own simulator or integrate wireless charging modules, allowing them directly to evaluate their algorithm and compare the simulation results.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123092970","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
Hybrid and adaptive drone identification through motion actuation and vision feature matching: poster abstract 基于运动驱动和视觉特征匹配的混合自适应无人机识别:海报摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055072
C. Dominguez, Xinlei Chen, Pei Zhang
{"title":"Hybrid and adaptive drone identification through motion actuation and vision feature matching: poster abstract","authors":"C. Dominguez, Xinlei Chen, Pei Zhang","doi":"10.1145/3055031.3055072","DOIUrl":"https://doi.org/10.1145/3055031.3055072","url":null,"abstract":"Unmanned aerial vehicle (UAV) swarms provide situation awareness in tasks such as emergency response, search and rescue, etc. However, most of these scenarios take place in GPS-denied environments, where accurately localizing each UAV is challenging. Heterogeneous UAV swarms, in which only a subset of the drones carry cameras, face the additional challenge of identifying each individual UAV to avoid sending position updates to the wrong drone, thus crashing. This work presents an identification mechanism based on the correlation between motion observed from external camera, and acceleration measured on each UAV's accelerometer.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124381998","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
Sleep scheduling in wireless powered industrial wireless sensor networks: poster abstract 无线供电工业无线传感器网络中的睡眠调度:海报摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055059
M. Mukherjee, Lei Shu, Wei Fang, Zhangbing Zhou
{"title":"Sleep scheduling in wireless powered industrial wireless sensor networks: poster abstract","authors":"M. Mukherjee, Lei Shu, Wei Fang, Zhangbing Zhou","doi":"10.1145/3055031.3055059","DOIUrl":"https://doi.org/10.1145/3055031.3055059","url":null,"abstract":"With the advancement in energy harvesting, wireless powered communication networks overcome the problem of replacing fixed energy sources, e.g., batteries in difficult access areas of industrial networks. However, the harvested energy is not always enough to support reliable and low end-to-end data transmission in industrial wireless sensor networks (IWSNs). This poster introduces an energy utilization-concerned sleep scheduling in wireless-powered IWSNs with an aim to balance network demand and residual energy.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128118304","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
Using low-cost, non-sensor-equipped BLE beacons to track people's movements: poster abstract 使用低成本、无传感器的BLE信标来跟踪人们的运动:海报摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055054
Hsi-Yuan Tsai, Guan-Heng Chen, Huang-Chen Lee
{"title":"Using low-cost, non-sensor-equipped BLE beacons to track people's movements: poster abstract","authors":"Hsi-Yuan Tsai, Guan-Heng Chen, Huang-Chen Lee","doi":"10.1145/3055031.3055054","DOIUrl":"https://doi.org/10.1145/3055031.3055054","url":null,"abstract":"This study presents a room-level people tracking system capable of determining people's movements while carrying a non-sensor-equipped BLE (Bluetooth Low Energy) beacon. The BLE beacon broadcasts BLE advertisement while people are in motion. A beacon receiver (BR) was installed in a room near the doorframe to determine people's movements (i.e., entering, departing, or passing by the room), based on the variations in received signal strength (RSS) over time. This system is aimed at providing tracking information for people in school buildings, hospitals, and nursing homes. Knowing in which room or area people are has many useful applications, and the system is low-cost and easy to install and maintain.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123618151","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
Analysis and evaluation of driving behavior recognition based on a 3-axis accelerometer using a random forest approach: poster abstract 基于随机森林方法的3轴加速度计驾驶行为识别分析与评价:海报摘要
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055060
Wangjing Cao, Xin Lin, Kai Zhang, Yuhan Dong, Shao-Lun Huang, Lin Zhang
{"title":"Analysis and evaluation of driving behavior recognition based on a 3-axis accelerometer using a random forest approach: poster abstract","authors":"Wangjing Cao, Xin Lin, Kai Zhang, Yuhan Dong, Shao-Lun Huang, Lin Zhang","doi":"10.1145/3055031.3055060","DOIUrl":"https://doi.org/10.1145/3055031.3055060","url":null,"abstract":"Understanding human drivers' behavior is critical for the self-driving cars, and has been intensively studied in the past decade. We exploit the widely available camera and motion sensor data from car recorders, and propose a hybrid method of recognizing driving events based on the random forest approach. The classification results are analyzed by comparing different features, classifiers and filters. A high accuracy of 98.1% on driving behavior classification is obtained and the robustness is verified on a dataset including 2400 driving events.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129922894","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: 6
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