2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第7页

A Trust Model Focusing on Node Usage in Mobile Ad Hoc Networks 移动自组织网络中节点使用的信任模型

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730676

Nanaka Asai, Sonoko Goka, H. Shigeno

引用次数: 2

Learning Natural Language Understanding Systems from Unaligned Labels for Voice Command in Smart Homes 从智能家居语音命令的未对齐标签中学习自然语言理解系统

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730721

Anastasia Mishakova, François Portet, Thierry Desot, Michel Vacher

{"title":"Learning Natural Language Understanding Systems from Unaligned Labels for Voice Command in Smart Homes","authors":"Anastasia Mishakova, François Portet, Thierry Desot, Michel Vacher","doi":"10.1109/PERCOMW.2019.8730721","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730721","url":null,"abstract":"Voice command smart home systems have become a target for the industry to provide more natural human computer interaction. To interpret voice command, systems must be able to extract the meaning from natural language; this task is called Natural Language Understanding (NLU). Modern NLU is based on statistical models which are trained on data. However, a current limitation of most NLU statistical models is the dependence on large amount of textual data aligned with target semantic labels. This is highly time-consuming. Moreover, they require training several separate models for predicting intents, slot-labels and slot-values. In this paper, we propose to use a sequence-to-sequence neural architecture to train NLU models which do not need aligned data and can jointly learn the intent, slot-label and slot-value prediction tasks. This approach has been evaluated both on a voice command dataset we acquired for the purpose of the study as well as on a publicly available dataset. The experiments show that a single model learned on unaligned data is competitive with state-of-the-art models which depend on aligned data.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114759087","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

Access Time Improvement Framework for Standardized IoT Gateways 标准化物联网网关接入时间改进框架

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730867

Asad Javed, Narges Yousefnezhad, J. Robert, Keijo Heljanko, Kary Främling

{"title":"Access Time Improvement Framework for Standardized IoT Gateways","authors":"Asad Javed, Narges Yousefnezhad, J. Robert, Keijo Heljanko, Kary Främling","doi":"10.1109/PERCOMW.2019.8730867","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730867","url":null,"abstract":"Internet of Things (IoT) is a computing infrastructure underlying powerful systems and applications, enabling autonomous interconnection of people, vehicles, devices, and information systems. Many IoT sectors such as smart grid or smart mobility will benefit from the recent evolutions of the smart city initiatives for building more advanced IoT services, from the collection of human- and machine-generated data to their storage and analysis. It is therefore of utmost importance to manage the volume, velocity, and variety of the data, in particular at the IoT gateways level, where data are published and consumed. This paper proposes an access time improvement framework to optimize the publication and consumption steps, the storage and retrieval of data at the gateways level to be more precise. This new distributed framework relies on a consistent hashing mechanism and modular characteristics of microservices to ensure a flexible and scalable solution. Applied and assessed on a real case study, experimental results show how the proposed framework improves data access time for standardized IoT gateways.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"226 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133941060","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

PerIoT'19: PerIoT'19 - Third International Workshop on Mobile and Pervasive Internet of Things - Program 第三届移动与普适物联网国际研讨会-项目

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/percomw.2019.8730804

引用次数: 0

APREP-DM: a Framework for Automating the Pre-Processing of a Sensor Data Analysis based on CRISP-DM APREP-DM:基于CRISP-DM的传感器数据分析自动化预处理框架

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730785

Hiroko Nagashima, Yuka Kato

引用次数: 10

WheelShare: Crowd-Sensed Surface Classification for Accessible Routing WheelShare:无障碍路由的人群感知表面分类

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730849

Janick Edinger, A. Hofmann, Anton Wachner, C. Becker, V. Raychoudhury, Christian Krupitzer

引用次数: 11

Towards Real-Time Contextual Touristic Emotion and Satisfaction Estimation with Wearable Devices 基于可穿戴设备的实时情境旅游情感与满意度评估

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730864

D. Fedotov, Yuki Matsuda, Yuta Takahashi, Yutaka Arakawa, K. Yasumoto, W. Minker

{"title":"Towards Real-Time Contextual Touristic Emotion and Satisfaction Estimation with Wearable Devices","authors":"D. Fedotov, Yuki Matsuda, Yuta Takahashi, Yutaka Arakawa, K. Yasumoto, W. Minker","doi":"10.1109/PERCOMW.2019.8730864","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730864","url":null,"abstract":"Following the technical progress and growing touristic market, demand on guidance systems is constantly increasing. Current systems are not personalized, they usually provide only a general information on sightseeing spot and do not concern about the tourist's perception of it. To design more adjustable and context-aware system, we focus on collecting and estimating emotions and satisfaction level, those tourists experience during the sightseeing tour. We reducing changes in their behaviour by collecting two types of information: conscious (short videos with impressions) and unconscious (behavioural pattern recorded with wearable devices) continuously during the whole tour. We have conducted experiments and collected initial data to build the prototype system. For each sight of the tour, participants provided an emotion and satisfaction labels. We use them to train unimodal neural network based models, fuse them together and get the final prediction for each recording. As tourist himself is the only source of labels for such system, we introduce an approach of post-experimental label correction, based on paired comparison. Such system built together allows us to use different modalities or their combination to perform real-time tourist emotion recognition and satisfaction estimation in-the-wild, bringing touristic guidance systems to the new level.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129390645","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

Road Surface Condition Inspection Using a Laser Scanner Mounted on an Autonomous Driving Car 使用安装在自动驾驶汽车上的激光扫描仪检测路面状况

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730820

Kenta Urano, Kei Hiroi, Shinpei Kato, Nozomi Komagata, Nobuo Kawaguchi

引用次数: 9

A Hybrid Trust Management Heuristic for VANETs 一种基于vanet的混合信任管理启发式算法

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730675

A. Mahmood, B. Butler, W. Zhang, Quan Z. Sheng, S. A. Siddiqui

{"title":"A Hybrid Trust Management Heuristic for VANETs","authors":"A. Mahmood, B. Butler, W. Zhang, Quan Z. Sheng, S. A. Siddiqui","doi":"10.1109/PERCOMW.2019.8730675","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730675","url":null,"abstract":"State-of-the-art advances in vehicular communication have fostered the development of smart mobility platforms, where moving vehicles exchange safety-critical information with minimal latency, to improve passenger and pedestrian safety. It is, therefore, of paramount importance that the information that is exchanged is not only authentic, but its sender should be trustworthy. Consequently, incorrect information needs to be detected as such, and its source needs to be flagged as untrustworthy if it consistently sends incorrect information. In the case of highly dynamic vehicular networks, ignoring trustworthiness poses a serious threat to vehicular communications, especially if there is a chance that the malicious vehicle could be elected as the cluster head of other vehicles within a group. We propose a hybrid trust management scheme to identify such malicious vehicles and to inhibit them from being elected as the cluster head. The scheme encompasses a composite metric (i.e., trust values assigned to the vehicles coupled with their resource availability) for cluster head and proxy cluster head selection via intermittent elections. This approach helps to form trustworthy and resource efficient vehicular networks. Simulations of the proposed scheme have been conducted using MATLAB and are also presented in this manuscript.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128410268","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: 31

Managing QoS in Smart Buildings Through Software Defined Network and Usage Control 通过软件定义网络和使用控制管理智能建筑中的QoS

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730751

F. Martinelli, C. Michailidou, P. Mori, A. Saracino

引用次数: 2