2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第6页

Integration of Smart Home technologies for district heating control in Pervasive Smart Grids 在普适智能电网中集成智能家居技术用于区域供热控制

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917616

R. Mihailescu, P. Davidsson

{"title":"Integration of Smart Home technologies for district heating control in Pervasive Smart Grids","authors":"R. Mihailescu, P. Davidsson","doi":"10.1109/PERCOMW.2017.7917616","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917616","url":null,"abstract":"Pervasive technologies permeating our immediate surroundings provide a wide variety of low-cost means of sensing and actuating in our environment. This paper presents an approach for leveraging insights onto the lifestyle and routines of the users in order to control heating in a smart home through the use of individual climate zones, while ensuring system efficiency at a grid-level scale. Organizing smart living spaces into controllable individual climate zones allows us to exert a more fine-grained level of control. Thus, the system can benefit from a higher degree of freedom to adjust the heat demand according to the system objectives. Whereas district heating planing is only concerned with balancing heat demand among buildings, we extend the reach of these systems inside the home through the use of pervasive sensing and actuation. That is to say, we bridge the gap between traditional district heating systems and pervasive technologies in the home designed to maintain the thermal comfort of the user, in order to increase efficiency. The objective is to automate heating based on the user's preferences and behavioral patterns. The control scheme proposed applies a learning algorithm to take advantage of the sensing data inside the home in combination with an optimization procedure designed to trade-off the discomfort undertaken by the user and heating supply costs. We report on preliminary simulation results showing the effectiveness of our approach and describe the setup of our forthcoming field study.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123436615","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

Using wrist-worn sensors to measure and compare physical activity changes for patients undergoing rehabilitation 使用腕戴式传感器测量和比较康复患者的身体活动变化

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917643

J. Dahmen, Alyssa La Fleur, Gina Sprint, D. Cook, D. Weeks

{"title":"Using wrist-worn sensors to measure and compare physical activity changes for patients undergoing rehabilitation","authors":"J. Dahmen, Alyssa La Fleur, Gina Sprint, D. Cook, D. Weeks","doi":"10.1109/PERCOMW.2017.7917643","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917643","url":null,"abstract":"Wrist-worn sensors have increased in popularity in health care settings. As the use of wrist-worn sensors increases, a better understanding is needed of how to detect changes in behavior as well as an ability to quantify such changes. We introduce a statistical method to address this need. In this study, we used Fitbit Charge Heart Rate devices with two separate populations to continuously record data. There were eight participants in the healthy control group and nine in the hospitalized inpatient rehabilitation group. We performed comparisons both within the groups and between groups on the gathered step count and heart rate data. The inpatient rehabilitation group showed improved step count changes between the first half of the study participation and the second half. Heart rate did not show significant changes for either the healthy control group or inpatient rehabilitation group across time. We conclude that our statistical change analysis applied to wrist-worn sensors can effectively detect changes in physical activity that provides valuable information to patients as well as their healthcare care providers.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"1962 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129612297","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

Accuracy-resource tradeoff for edge devices in Internet of Things 物联网中边缘设备的精度-资源权衡

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917627

Nima Mousavi, Baris Aksanli, A. S. Akyurek, T. Simunic

{"title":"Accuracy-resource tradeoff for edge devices in Internet of Things","authors":"Nima Mousavi, Baris Aksanli, A. S. Akyurek, T. Simunic","doi":"10.1109/PERCOMW.2017.7917627","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917627","url":null,"abstract":"Modern power grid has evolved from a passive network into an application of Internet of Things with numerous interconnected elements and users. In this environment, household users greatly benefit from a prediction algorithm that estimates their future power demand to help them control off-grid generation, battery storage, and power consumption. In particular, household power consumption prediction plays a pivotal role in optimal utilization of batteries used alongside photovoltaic generation, creating saving opportunities for users. Since edge devices in Internet of Things offer limited capabilities, the computational complexity and memory and energy consumption of the prediction algorithms are capped. In this paper we forecast 24-hour demand from power consumption, weather, and time data, using Support Vector Regression models, and compare it to state-of-the-art prediction methods such as Linear Regression and persistence. We use power consumption traces from real datasets and a Raspberry Pi 3 embedded computer as testbed to evaluate the resource-accuracy trade-off. Our study reveals that Support Vector Regression is able to achieve 21% less prediction error on average compared to Linear Regression, which translates into 16% more cost savings for users when using residential batteries with photovoltaic generation.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130360876","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

A city edge cloud with its economic and technical considerations 城市边缘云及其经济和技术考虑

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917630

Glenn Ricart

引用次数: 9

Quality of Information (QoI)-aware cooperative sensing in vehicular sensor networks 车载传感器网络中信息质量感知的协同传感

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917590

D. V. Le, C. Tham, Yanmin Zhu

引用次数: 8

Portguard - an authentication tool for securing ports in an IoT gateway Portguard—IoT网关中用于保护端口的认证工具

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917635

S. Sathyadevan, V. Vejesh, R. Doss, Lei Pan

引用次数: 6

Argus: Smartphone-enabled human cooperation for disaster situational awareness via MARL Argus:智能手机支持的人类合作，通过MARL进行灾难态势感知

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917529

Vidyasagar Sadhu, Gabriel Salles-Loustau, D. Pompili, S. Zonouz, Vincent Sritapan

引用次数: 14

A user identification method based on features of opening/closing a refrigerator door 一种基于冰箱门开/关特征的用户识别方法

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917619

Akane Ishida, Kazuya Murao, T. Terada, M. Tsukamoto

{"title":"A user identification method based on features of opening/closing a refrigerator door","authors":"Akane Ishida, Kazuya Murao, T. Terada, M. Tsukamoto","doi":"10.1109/PERCOMW.2017.7917619","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917619","url":null,"abstract":"Refrigerators are commonly used by multiple users in the home and office. However, expired food is sometimes left in the refrigerator, and users may eat food belonging to others since food is often arranged in the refrigerator in a disorderly manner. This happens because food is not organized by owner. If food can be linked with its owner, users will not eat food belonging to others, and food in the refrigerator will be consumed prior to expiration by informing the owner of the expiration date. The simplest way to link food with its owner is to input the name of the owner manually every time he or she puts food in the refrigerator, which, however, is tedious and impractical. We propose a method that identifies who put food in the refrigerator by using pressure sensors, an accelerometer, and a gyroscope attached to the refrigerator door. The method analyzes the motions of opening/closing a refrigerator door and the pressure distribution of gripping the door-handle. In the future, we aim to link food with its owner. From the experiment, we confirmed that the method achieves 90.3% accuracy in user identification for a group of four.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126267502","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

Size efficient big data sharing among Internet of Things devices 实现物联网设备间高效大数据共享

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917550

Samuel Sungmin Cho, C. Julien

引用次数: 3

Data analysis of transit systems using low-cost IoT technology 使用低成本物联网技术对交通系统进行数据分析

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2017-03-13 DOI: 10.1109/PERCOMW.2017.7917613

Samy El-Tawab, Raymond Oram, Michael Garcia, C. Johns, B. Park

{"title":"Data analysis of transit systems using low-cost IoT technology","authors":"Samy El-Tawab, Raymond Oram, Michael Garcia, C. Johns, B. Park","doi":"10.1109/PERCOMW.2017.7917613","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917613","url":null,"abstract":"The rapid increase of modern wireless technology opens the door for several new applications using the Internet of Things (IoT) technology. In an educational environment, students depend on the transit bus system for their daily routine and there is a high demand of people to be served by buses around university campuses in the United States of America. Often times, the members of university communities find themselves waiting for a significant amount of time for a bus to arrive at the bus station. Universities have numerous bus stops as well as routes on which riders can use for travel. Several of these bus stops are covered by WiFi capabilities, and usually students are checking their smart phones while waiting for bus arrival. In order to monitor the quality of transit buses and passengers' services, we design, develop, and demonstrate a low cost IoT system that detects the majority of the riders on the bus system at each station. In this paper, the IoT devices collect, analyze and archive transit and passenger data (e.g., waiting times) to Cloud Storage from each bus station. The goal is to improve the passenger's experience by refining the current infrastructure in place, focusing on better planning and increasing bus ridership through better scheduling. By collecting such data (e.g., waiting times), the performance of the bus system can be further analyzed and suggest changes to a route in order to achieve a more efficient and sustainable urban transportation system.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121745410","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: 20