Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication最新文献_第8页

HomeSys 2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2638728.2641546

Tim Coughlan, R. Comber, R. Mortier, T. Plötz, V. Mitchell

引用次数: 0

Conversations with my washing machine: an in-the-wild study of demand shifting with self-generated energy 与我的洗衣机对话:一项关于自我产生能量的需求变化的野外研究

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2632048.2632106

J. Bourgeois, J. Linden, Gerd Kortuem, B. Price, Christopher Rimmer

{"title":"Conversations with my washing machine: an in-the-wild study of demand shifting with self-generated energy","authors":"J. Bourgeois, J. Linden, Gerd Kortuem, B. Price, Christopher Rimmer","doi":"10.1145/2632048.2632106","DOIUrl":"https://doi.org/10.1145/2632048.2632106","url":null,"abstract":"Domestic microgeneration is the onsite generation of low- and zero-carbon heat and electricity by private households to meet their own needs. In this paper we explore how an everyday household routine -- that of doing laundry -- can be augmented by digital technologies to help households with photovoltaic solar energy generation to make better use of self-generated energy. This paper presents an 8-month in-the-wild study that involved 18 UK households in longitudinal energy data collection, prototype deployment and participatory data analysis. Through a series of technology interventions mixing energy feedback, proactive suggestions and direct control the study uncovered opportunities, potential rewards and barriers for families to shift energy consuming household activities and highlights how digital technology can act as mediator between household laundry routines and energy demand-shifting behaviors. Finally, the study provides insights into how a \"smart\" energy-aware washing machine shapes organization of domestic life and how people \"communicate\" with their washing machine.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82358313","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: 87

Crowdsensing traces using bluetooth low energy (BLE) proximity tags 使用蓝牙低功耗(BLE)接近标签进行众测跟踪

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2638728.2638760

S. Sheikh, A. Lbath, Anas Basalamah

引用次数: 17

Collaborative opportunistic sensing with mobile phones 移动电话协同机会感知

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2638728.2638814

Luís A. Castro, J. Favela, Jessica Beltrán-Márquez, Edgar Chávez, Moisés Pérez, M. Rodríguez, Eduardo Quintana, René F. Navarro

{"title":"Collaborative opportunistic sensing with mobile phones","authors":"Luís A. Castro, J. Favela, Jessica Beltrán-Márquez, Edgar Chávez, Moisés Pérez, M. Rodríguez, Eduardo Quintana, René F. Navarro","doi":"10.1145/2638728.2638814","DOIUrl":"https://doi.org/10.1145/2638728.2638814","url":null,"abstract":"Mobile phones include a variety of sensors that can be used to develop context-aware applications and gather data about the user's behavior, including the places he visits, his level of activity and how frequently and with whom he socializes. The collection and analysis of these data has been the focus of recent attention in ubiquitous computing, giving rise to the field known as mobile sensing. In this work, we present a collaborative extension to InCense, a toolkit to facilitate behavioral data gathering from populations of mobile phone users. InCense aims at providing people with little or no technical background with a tool that assists in the rapid design and implementation of mobile phone sensing campaigns. By extending the architecture of InCense to support distributed sensing campaigns we are able to incorporate several strategies aimed at optimizing battery, storage, and bandwidth. These issues represent significant challenges in sensing campaigns that generate considerable amounts of data (i.e., collecting audio) or quickly drain the battery in the device (i.e., GPS), given the limitations of mobile devices. In this work, collaborative sensing is used to decide which mobile phone should capture audio when two or more devices are potentially recording a similar audio signal.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82545313","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: 12

Digital memory notebook: experimental evaluation of motivational reward strategies 数位记忆笔记:动机奖励策略的实验评估

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2638728.2638808

Christa Simon, Ramyar Saeedi, Chris Cain, M. Schmitter-Edgecombe, Shervin Hajiamini, D. Cook

引用次数: 2

Orchestration support for participatory sensing campaigns 参与式感知活动的编排支持

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2632048.2632105

E. D'Hondt, Jesse Zaman, Eline Philips, E. G. Boix, W. Meuter

引用次数: 22

User interaction-based profiling system for Android application tuning 基于用户交互的Android应用调优分析系统

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2632048.2636091

Seokjun Lee, Chanmin Yoon, H. Cha

{"title":"User interaction-based profiling system for Android application tuning","authors":"Seokjun Lee, Chanmin Yoon, H. Cha","doi":"10.1145/2632048.2636091","DOIUrl":"https://doi.org/10.1145/2632048.2636091","url":null,"abstract":"Quality improvement in mobile applications should be based on the consideration of several factors, such as users' diversity in spatio-temporal usage, as well as the device's resource usage, including battery life. Although application tuning should consider this practical issue, it is difficult to ensure the success of this process during the development stage due to the lack of information about application usage. This paper proposes a user interaction-based profiling system to overcome the limitations of development-level application debugging. In our system, the analysis of both device behavior and energy consumption is possible with fine-grained process-level application monitoring. By providing fine-grained information, including user interaction, system behavior, and power consumption, our system provides meaningful analysis for application tuning. The proposed method does not require the source code of the application and uses a web-based framework so that users can easily provide their usage data. Our case study with a few popular applications demonstrates that the proposed system is practical and useful for application tuning.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87999127","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: 16

Designing a mobile system for public safety using open crime data and crowdsourcing 设计一个使用公开犯罪数据和众包的公共安全移动系统

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2638728.2638762

Yun Huang, Yang Wang, Corey White

引用次数: 4

HoppingDuster: self-adaptive cleaning robot based on aerial vehicle HoppingDuster:基于飞行器的自适应清洁机器人

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2638728.2638767

K. Tei, Kazuya Aizawa, S. Suenaga, R. Takahashi, Shun Lee, Y. Fukazawa

引用次数: 1

A self-calibrating approach to whole-home contactless power consumption sensing 一种自校准的全屋非接触式功耗传感方法

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI: 10.1145/2632048.2636087

Md Tanvir Islam Aumi, Sidhant Gupta, Cameron Pickett, M. Reynolds, Shwetak N. Patel

{"title":"A self-calibrating approach to whole-home contactless power consumption sensing","authors":"Md Tanvir Islam Aumi, Sidhant Gupta, Cameron Pickett, M. Reynolds, Shwetak N. Patel","doi":"10.1145/2632048.2636087","DOIUrl":"https://doi.org/10.1145/2632048.2636087","url":null,"abstract":"In this paper, we present a significant improvement over past work on non-contact end-user deployable sensor for real time whole home power consumption. The technique allows users to place a single device consisting of magnetic pickups on the outside of a power or breaker panel to infer whole home power consumption without the need for professional installation of current transformers (CTs). The new approach does not require precise placement on the breaker panel, a key requirement in previous approaches. This is enabled through a self-calibration technique using a neural network that dynamically learns the transfer function despite the placement of the sensor and the construction of the breaker panel itself. We also demonstrate the ability to actually infer true power using this technique, unlike past solutions that have only been able to capture apparent power. We have evaluated our technique in six homes and one industrial building, including one seven-day deployment. Our results show we can estimate true power consumption with an average accuracy of 95.0% during naturalistic energy use in the home.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81022879","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