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Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems最新文献

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CapeVM CapeVM
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274842
N. Reijers, C. Shih
{"title":"CapeVM","authors":"N. Reijers, C. Shih","doi":"10.1145/3274783.3274842","DOIUrl":"https://doi.org/10.1145/3274783.3274842","url":null,"abstract":"This paper presents CapeVM, a sensor node virtual machine aimed at delivering both high performance and a sandboxed execution environment that ensures malicious code cannot corrupt the VM's internal state or perform actions not allowed by the VM. CapeVM uses Ahead-of-Time compilation and introduces a range of optimisations to eliminate most of the overhead present in previous work on sensor node AOT compilers. A sandboxed execution environment is guaranteed by a set of checks. The structured nature of the VM's instruction set allows the VM to perform most checks at load time, reducing the need for expensive run-time checks compared to native code approaches. While some overhead from using a VM and adding sandbox checks cannot be avoided, CapeVM's optimisations reduce this overhead dramatically. We evaluate CapeVM using a set of IoT applications and show this results in a performance just 2.1x slower than unsandboxed native code. Thus, CapeVM combines the desirable properties ofexisting work on both sandboxed execution and virtual machines for sensor nodes, with significantly improved performance.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122574623","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
CitySense
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275192
Y. Mao, Zeyu Zhang, Hua Sun, Yang Chen
{"title":"CitySense","authors":"Y. Mao, Zeyu Zhang, Hua Sun, Yang Chen","doi":"10.1145/3274783.3275192","DOIUrl":"https://doi.org/10.1145/3274783.3275192","url":null,"abstract":"Today's cities are filled with sensors to get real-time data on all aspects of the city. Each of these data sources reflects one aspect of the city and provides support for city computing. However, these data are owned by different organizations or companies and stored in different locations of the Internet. It takes lots of efforts for researchers to obtained all of these data. At the same time, a single data set can only represent one side of a city's activities, but combining multiple data allows us to stand in a better perspective overlooking the city we study. We designed a city data aggregation platform to aggregate several data sources about city computing to get a more comprehensive understanding of the city, to discover pattern that are not reflected in a single data set, and facilitate researchers to access data from multiple sources.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"461 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122836931","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
A Smart Ontology-driven IoT Platform 智能本体驱动的物联网平台
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275215
Jun Hao Teh, Vishal Choudhary, H. Lim
{"title":"A Smart Ontology-driven IoT Platform","authors":"Jun Hao Teh, Vishal Choudhary, H. Lim","doi":"10.1145/3274783.3275215","DOIUrl":"https://doi.org/10.1145/3274783.3275215","url":null,"abstract":"Conventional IoT infrastructure deployments require complex configurations and management at the sensor devices, gateway and the backend levels. We have developed a smart ontology-driven IoT platform which can significantly improve the scalability and efficiency of the deployment and management of large-scale IoT infrastructures. The platform provides a unified ontology management layer across the sensor devices, IoT gateway and IoT backend. It also provides a virtualization-based IoT gateway which supports the interoperability of sensor devices with heterogeneous network protocols.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129764066","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
eSense: Open Earable Platform for Human Sensing eSense:开放的人类感知平台
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275188
F. Kawsar, Chulhong Min, Akhil Mathur, A. Montanari, Utku Günay Acer, M. V. D. Broeck
{"title":"eSense: Open Earable Platform for Human Sensing","authors":"F. Kawsar, Chulhong Min, Akhil Mathur, A. Montanari, Utku Günay Acer, M. V. D. Broeck","doi":"10.1145/3274783.3275188","DOIUrl":"https://doi.org/10.1145/3274783.3275188","url":null,"abstract":"We present eSense - an open and multi-sensory in-ear wearable platform for personal-scale behaviour analytics. eSense is a true wireless stereo (TWS) earbud and supports dual-mode Bluetooth and Bluetooth Low Energy. It is also augmented with a 6-axis in-ertial measurement unit and a microphone. We demonstrate the eSense platform, the data exploration tool with the open APIs for the real-time visualisation of multi-modal sensory data, and its manifestation in a 360° workplace well-being application.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124799580","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: 26
Autonomous UAV sensor system for searching and locating VHF radio-tagged wildlife 用于搜索和定位VHF无线电标记野生动物的自主无人机传感器系统
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275169
Hoa Van Nguyen, M. Chesser, Fei Chen, S. H. Rezatofighi, D. Ranasinghe
{"title":"Autonomous UAV sensor system for searching and locating VHF radio-tagged wildlife","authors":"Hoa Van Nguyen, M. Chesser, Fei Chen, S. H. Rezatofighi, D. Ranasinghe","doi":"10.1145/3274783.3275169","DOIUrl":"https://doi.org/10.1145/3274783.3275169","url":null,"abstract":"We consider the problem of tracking and localizing radio-tagged targets, a labor-intensive and time-consuming task necessary for wildlife conservation fieldwork. We design a lightweight sensor system for measurement of radio signal strength information from multiple radio tags. The sensor system is designed to suit low-cost, versatile, easy to operate multi-rotor UAVs. In this demo paper, we demonstrate our Unmanned Aerial Vehicle (UAV) sensor system for tracking and locating multiple VHF radio tags.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129024293","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
An Energy-driven Wireless Bicycle Trip Counter with Zero Energy Storage 零储能的能量驱动无线自行车行程计数器
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275205
S. C. B. Wong, Domenico Balsamo, G. Merrett
{"title":"An Energy-driven Wireless Bicycle Trip Counter with Zero Energy Storage","authors":"S. C. B. Wong, Domenico Balsamo, G. Merrett","doi":"10.1145/3274783.3275205","DOIUrl":"https://doi.org/10.1145/3274783.3275205","url":null,"abstract":"This paper presents the implementation of a bicycle trip counter, which measures cycling speed, traveled distance, and cycling time, that is directly powered from tiny periodic pulses of energy with only the intrinsically present decoupling capacitance as an energy buffer. To cope with the highly variable amount of energy generated during each pulse, an energy-driven approach is used. The core principles in this approach are to dynamically adjust operational mode according to energy availability, to scale performance, for example sensing accuracy, proportional to energy harvested, and to perform intermittent or transient computing to enable computation across multiple power cycles. The device presented is able to start operation from energy supply pulses as low as 4 uJ, where a rough estimate of the sensing parameters is done, and perform increasingly complex and time-consuming tasks such as additional more accurate measurements, sensor fusion, and filtering computations as more energy becomes available.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"97 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132420525","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
The Energy Harvesting Mode Abstraction 能量收集模式抽象
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275212
A. Bakar, Josiah D. Hester
{"title":"The Energy Harvesting Mode Abstraction","authors":"A. Bakar, Josiah D. Hester","doi":"10.1145/3274783.3275212","DOIUrl":"https://doi.org/10.1145/3274783.3275212","url":null,"abstract":"We propose a new abstraction for understanding energy harvesting behaviors in the wild, especially how these behaviors impact energy constrained and battery-free sensors. The Energy Harvesting Mode abstraction explores ways to make sense of energy harvesting behaviors. We take known energy harvesting datasets, and create a few of our own, then classify energy harvesting behavior into modes. Modes are periodic or repeated elements caused by systematic or fundamental attributes of the energy harvesting environment. We show the existence of these Energy Harvesting Modes using real world data and IV surfaces created with the Ekho emulator. We discuss the impacts and usage of this powerful abstraction, including enabling adaptation, test case generation, and efficiency analysis for energy harvesting and intermittently powered sensing devices.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128310945","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
Continuous Low-Power Ammonia Monitoring Using Long Short-Term Memory Neural Networks 基于长短期记忆神经网络的连续低功耗氨监测
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274836
Zhenhua Jia, Xinmeng Lyu, Wuyang Zhang, R. Martin, R. Howard, Yanyong Zhang
{"title":"Continuous Low-Power Ammonia Monitoring Using Long Short-Term Memory Neural Networks","authors":"Zhenhua Jia, Xinmeng Lyu, Wuyang Zhang, R. Martin, R. Howard, Yanyong Zhang","doi":"10.1145/3274783.3274836","DOIUrl":"https://doi.org/10.1145/3274783.3274836","url":null,"abstract":"Accurate and continuous ammonia monitoring is important for laboratory animal studies and many other applications. Existing solutions are often expensive, inaccurate, or unsuitable for long-term monitoring. In this work, we propose a new ammonia monitoring approach that is low-power, automatic, accurate, and wireless. Our system uses metal oxide sensors which change their electrical resistance due to an induced reduction reaction with ammonia at high temperatures. Traditional methods infer the ammonia level by measuring the sensor's electrical resistance after it reaches equilibrium. Such a system consumes a significant amount of energy because reaching equilibrium requires heating the sensor for minutes. Our proposed approach does not wait for equilibrium, but tries to predict the resistance at equilibrium using the sensor's initial resistance response curve in a very short heating pulse (as short as 200ms). The prediction model is built on long short-term memory (LSTM) neural networks. We built 38 prototype sensors and a home-grown gas flow system. In a 3-month in-lab testing period, we conducted extensive experiments and collected 13,770 measurements. Our model accurately predicts the equilibrium state resistance value, with an average error rate of 0.12%. The final average estimation error for the ammonia concentration level is 9.38ppm. Given the ultra low power consumption and accurate measurements, we have partnered with cage vendors and deployed our system at two animal research facilities (NIH and Cornell University) for month-long medical trials.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131914676","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: 13
AI-Enhanced 3D RF Representation Using Low-Cost mmWave Radar 使用低成本毫米波雷达的人工智能增强3D射频表示
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275210
Shiwei Fang, S. Nirjon
{"title":"AI-Enhanced 3D RF Representation Using Low-Cost mmWave Radar","authors":"Shiwei Fang, S. Nirjon","doi":"10.1145/3274783.3275210","DOIUrl":"https://doi.org/10.1145/3274783.3275210","url":null,"abstract":"This paper introduces a system that takes radio frequency (RF) signals from an off-the-shelf, low-cost, 77 GHz mm Wave radar and produces an enhanced 3D RF representation of a scene. Such a system can be used in scenarios where camera and other types of sensors do not work, or their performance is impacted due to bad lighting conditions and occlusions, or an alternate RF sensing system like synthetic aperture radar (SAR) is too large, inconvenient, and costly. The enhanced RF representation can be used in numerous applications such as robot navigation, human-computer interaction, and patient monitoring. We use off-the-shelf parts to capture RF signals and collect our own data set for training and testing of the approach. The novelty of the system lies in its use of AI to generate a fine-grained 3D representation of an RF scene from its sparse RF representation which a mm Wave radar of the same class cannot achieve.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115948577","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
Worldwide emerging disease-related information extraction system from news data 从新闻数据中提取全球新兴疾病相关信息系统
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275168
Myeonghwi Kim, Inhwan Kim, Miran Lee, Beakcheol Jang
{"title":"Worldwide emerging disease-related information extraction system from news data","authors":"Myeonghwi Kim, Inhwan Kim, Miran Lee, Beakcheol Jang","doi":"10.1145/3274783.3275168","DOIUrl":"https://doi.org/10.1145/3274783.3275168","url":null,"abstract":"Although there have been many researches on the disease information system with the increased interest in disease, the existing systems have limitations in terms of emerging disease monitoring and internationalization. The purpose of this study is to develop a worldwide emerging disease-related information extraction system from news data, which provides nation-specific disease related information, disease-related topic ranking, map-based number of news articles per region, and various charts showing top disease regions and diseases. Our system is available on the web through http://www.epidemic.co.kr/worldwide.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117135449","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
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