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Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct最新文献

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Mobile-to-mobile passive localization on walking path 行走路径上移动到移动的被动定位
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2971425
Lin Sun, Sinong Chen, Zengwei Zheng
{"title":"Mobile-to-mobile passive localization on walking path","authors":"Lin Sun, Sinong Chen, Zengwei Zheng","doi":"10.1145/2968219.2971425","DOIUrl":"https://doi.org/10.1145/2968219.2971425","url":null,"abstract":"This paper presents a novel mobile-to-mobile localization approach without radio map or fixed reference points deployment. In this approach, the mobile listener can passively locate another mobile device by receiving the Probe Request frames on his walking path. The unique location of the mobile device is estimated on a geometric diagram and right-angled walking path. Path loss exponent, a site-related parameter, is eliminated in solving equation array to make our model site-independent. The performance of our method has been evaluated in inside the room, outside the room and outdoor scenarios with three kinds of walking paths, e.g. horizontal, vertical and slanted.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121827764","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
New horizons for the IoT in everyday life: proactive, shared, sustainable 物联网在日常生活中的新视野:主动、共享、可持续
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2968347
J. Fischer, James A. Colley, E. Luger, Michael Golembewski, Enrico Costanza, S. Ramchurn, Stephen Viller, Ian Oakley, Jon E. Froehlich
{"title":"New horizons for the IoT in everyday life: proactive, shared, sustainable","authors":"J. Fischer, James A. Colley, E. Luger, Michael Golembewski, Enrico Costanza, S. Ramchurn, Stephen Viller, Ian Oakley, Jon E. Froehlich","doi":"10.1145/2968219.2968347","DOIUrl":"https://doi.org/10.1145/2968219.2968347","url":null,"abstract":"IoT applications that act on behalf of people are becoming reality. In this workshop we explore the opportunities and challenges that arise when these proactive technologies become increasingly embedded in our world and carried on our bodies, particularly when converging with the emerging 'sharing economy' paradigm. IoT sensors enable new sharing economy services that are personalised, hyperlocal, and can be delivered at short notice, for example food sharing among neighbours to prevent waste. Yet, there are many design challenges and ethical concerns that the HCI community needs to address to make these proactive services intelligible and accountable. In this workshop we seek to begin a dialogue to gather and respond to these challenges, collect design examples and ideas, and learn from each other.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225560","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: 10
A campus-scale mobile crowd-tasking platform 校园级移动众包平台
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2971388
Nikita Jaiman, Randy Tandriansyah, Thivya Kandappu, Archan Misra
{"title":"A campus-scale mobile crowd-tasking platform","authors":"Nikita Jaiman, Randy Tandriansyah, Thivya Kandappu, Archan Misra","doi":"10.1145/2968219.2971388","DOIUrl":"https://doi.org/10.1145/2968219.2971388","url":null,"abstract":"By effectively utilizing smartphones to reach out and engage a large population of mobile users, mobile crowd-sourcing can become a game-changer for many urban operations, such as last mile logistics and municipal monitoring. To overcome the uncertainties and risks associated with a purely best-effort, opportunistic model of such crowd-sourcing, we advocate a more centrally-coordinated approach, that (a) takes into account the predicted movement paths of workers and (b) factors in typical human behavioral responses to various incentives and deadlines. To experimentally tackle these challenges, we design, develop and experiment with a real-world mobile crowd-tasking platform on an urban campus in Singapore. In this paper, we first introduce TA$Ker and then demonstrate the effectiveness of different behavioral experiments, such as bundling and differential task pricing methods.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116875573","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
Understanding individuals phone call behavior for calendar events 了解个人电话行为的日历事件
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2968330
Iqbal H. Sarker, A. Colman, M. A. Kabir, Jun Han
{"title":"Understanding individuals phone call behavior for calendar events","authors":"Iqbal H. Sarker, A. Colman, M. A. Kabir, Jun Han","doi":"10.1145/2968219.2968330","DOIUrl":"https://doi.org/10.1145/2968219.2968330","url":null,"abstract":"The goal of this position paper is to highlight the issues of modeling individuals' phone call response behavior for their various scheduled events in calendar and to describe the key aspects that constitute the foundation of our behavioral model to overcome such issues.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116953982","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
An empirical study on the regularity of route mobility 路线流动性规律的实证研究
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2968420
F. Faghihi, P. Nurmi
{"title":"An empirical study on the regularity of route mobility","authors":"F. Faghihi, P. Nurmi","doi":"10.1145/2968219.2968420","DOIUrl":"https://doi.org/10.1145/2968219.2968420","url":null,"abstract":"Studies on human mobility have demonstrated that transitions between important locations are highly regular, and that in overall, people spend the majority of their time in a small set of important locations. However, what currently is not known is how regular the movements leading from one location to another are, i.e., how regular is the route mobility of individuals. The present paper contributes by conducting the first ever empirical study on regularity of route regularity. We demonstrate that routes indeed contain a high degree of regularity and that the uncertainty associated with a route is concentrated along a small set of so-called fork points. Accordingly, our results suggest that routes can be encoded using a combination of sub-segments with high regularity, and a set of fork points that serve as transition points for the sub-segments. We carry out our analysis using the CabSpotting dataset, which contains mobility traces from 538 cabs in San Francisco metropolitan area collected during one month period.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117187691","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
Compression-aware graph computation 压缩感知图计算
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2968297
Guohua Li, Weixiong Rao
{"title":"Compression-aware graph computation","authors":"Guohua Li, Weixiong Rao","doi":"10.1145/2968219.2968297","DOIUrl":"https://doi.org/10.1145/2968219.2968297","url":null,"abstract":"Many recent work has focused on graph algorithms via parallelization including PowerGraph [9] and Ligra [14]. The frameworks process large graphs in shared memory, requiring a terabyte of memory and expensive maintenance cost. Reducing graph size to fit in memory thus is crucial in cutting the cost of large-scale graph computation. Compression has been widely used to reduce graph size. However, it could meanwhile compromise graph computation efficiency caused by nontrivial decompression overhead before graph computation. In this paper, we propose a simple and yet efficient coding scheme. It not only leads to smaller size of compressed graphs; meanwhile we can perform graph computation directly on the compressed graphs with no or partial decompression, namely compression-aware computation, leading to faster running time. Our experiments validate that the coding scheme achieves 2.99X compression ratio, and three compression-aware graph algorithms achieve 7.02X, 2.88X and 2.34X faster running time than the graph algorithms on the graphs without compression.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117352606","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
Representation learning for geospatial areas using large-scale mobility data from smart card 基于智能卡大规模移动数据的地理空间区域表示学习
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2968416
Masanao Ochi, Y. Nakashio, Y. Yamashita, I. Sakata, Kimitake Asatani, M. Ruttley, Junichiro Mori
{"title":"Representation learning for geospatial areas using large-scale mobility data from smart card","authors":"Masanao Ochi, Y. Nakashio, Y. Yamashita, I. Sakata, Kimitake Asatani, M. Ruttley, Junichiro Mori","doi":"10.1145/2968219.2968416","DOIUrl":"https://doi.org/10.1145/2968219.2968416","url":null,"abstract":"With the deployment of modern infrastructures for public transit, several studies have analyzed the transition patterns of people by using smart card data and have characterized the areas. In this paper, we propose a novel embedding method to obtain a vector representation of a geospatial area using transition patterns of people from the large-scale data of their smart cards. We extend a network embedding by taking into account geographical constraints on people transitioning in the real world. We conducted an experiment using smart card data in a large network of railroads in Kansai areas in Japan. We obtained a vector representation of each railroad station using the proposed embedding method. The results show that the proposed method performs better than the existing network embedding methods in the task of multi-label classification for purposes of going to a railroad station. Our proposed method can contribute to predicting people flow by discovering underlying representations of geospatial areas from mobility data.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"291 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120929727","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
Discovering air quality patterns in urban environments 发现城市环境中的空气质量模式
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2971458
Luca Cagliero, T. Cerquitelli, S. Chiusano, P. Garza, Giuseppe Ricupero
{"title":"Discovering air quality patterns in urban environments","authors":"Luca Cagliero, T. Cerquitelli, S. Chiusano, P. Garza, Giuseppe Ricupero","doi":"10.1145/2968219.2971458","DOIUrl":"https://doi.org/10.1145/2968219.2971458","url":null,"abstract":"Monitoring air quality is currently a critical issue in smart cities. Air pollution-related data are commonly acquired through sensors deployed throughout the city area. To analyze these data collections, data analytics algorithms should be combined with reporting tools for discovering critical conditions and informing citizens and municipality actors. This paper proposes a new data mining engine to discover air quality patterns from air pollution-related data. This class of patterns includes many established patterns proposed in the data mining literature. In this study, we focused on a specific type of patterns, namely the frequent weighted itemsets, to identify combinations of pollutants that are, on average, in a critical condition. To show the usefulness of the proposed approach, the proposed engine was tested on real data acquired in a major Italian city.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120985554","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
Recognizing unknown activities using semantic word vectors and twitter timestamps 使用语义词向量和twitter时间戳识别未知活动
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2968292
Moe Matsuki, Sozo Inoue
{"title":"Recognizing unknown activities using semantic word vectors and twitter timestamps","authors":"Moe Matsuki, Sozo Inoue","doi":"10.1145/2968219.2968292","DOIUrl":"https://doi.org/10.1145/2968219.2968292","url":null,"abstract":"In this paper, we propose a method for activity recognition, which can estimate new activities which does not appear in the training data, combining word vectors constructed from semantic word vectors and Twitter timestamps. Because traditional activity recognition utilizes supervised machine learning, unknown activity classes which do not appear in the training dataset is unable to be estimated. For this problem, zero-shot machine learning method is proposed, but it requires the preparation of semantic codes. As semantic codes, we utilize word vectors constructed from semantic word vectors and Twitter timestamps. To evaluate the proposed method, we evaluated whether we could estimate unknown activity classes, with the sensor data set collected from 20 households for 4 months, along with the user-generated labels using the web system which can estimate, modify, and add new activity types. As a result, the proposed method could even estimate unknown activity classes. Moreover, by utilizing Twitter timestamps and semantic word vectors from the Japanese Wikipedia in word vectors, the method could estimate 9 unknown activity classes.","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121057077","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
"Mobiles for museum visit should be abolished": a comparison of smart replicas, smart cards, and phones “参观博物馆的手机应该被废除”:智能复制品、智能卡和手机的比较
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Pub Date : 2016-09-12 DOI: 10.1145/2968219.2974049
Daniela Petrelli, Sinead O'Brien
{"title":"\"Mobiles for museum visit should be abolished\": a comparison of smart replicas, smart cards, and phones","authors":"Daniela Petrelli, Sinead O'Brien","doi":"10.1145/2968219.2974049","DOIUrl":"https://doi.org/10.1145/2968219.2974049","url":null,"abstract":"A comparative evaluation of smart replicas, phone app and smart cards looked at the personal preferences of visitors and the appeal of mobiles in museum exhibitions. As part of an exhibition evaluation, 76 participants used all three interactions modes and gave their opinions in a questionnaire. The result shows that Phone and Replica are equally liked but the Phone is the most disliked interaction mode. Preference for the phone is due to its mobility as opposed to a listen in place interaction; but the phone takes the attention away from the exhibition and isolates from the group. Visitors expect museums to provide the phones as opposed to apps for \"bring your own\".","PeriodicalId":267763,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","volume":"43 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127235855","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
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