2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第9页

A Context-Based Strategy for SLA Negotiation in the IoT Environment 物联网环境下基于上下文的SLA协商策略

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730752

Fan Li, S. Clarke

{"title":"A Context-Based Strategy for SLA Negotiation in the IoT Environment","authors":"Fan Li, S. Clarke","doi":"10.1109/PERCOMW.2019.8730752","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730752","url":null,"abstract":"In the Internet of Things (IoT), billions of physical devices are connected and provide a near real-time state of the world. By adopting a service-oriented computing paradigm, the capabilities of these devices (whether mobile or static) can be abstracted as IoT services and delivered to users in a demand-driven way. Service providers can have a comprehensive competitive edge by tailoring their services to match users' requests through a negotiation process, with the particular service provisioning specified in a service level agreement (SLA), which can be further used to monitor and guarantee the quality of service (QoS). The challenges for SLA negotiation in the IoT include the scale and the dynamics of the environment. Existing SLA negotiation approaches are focused on cloud computing, which do not consider the domain-specific properties of IoT services. In this paper, we designed a context-based negotiation strategy to evaluate offers and generate counteroffers, and integrate it with the WS-Agreement Negotiation standard. The evaluation results demonstrate that our proposal can produce a higher utility and maintain a good success rate compared to other negotiation strategies.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"10 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":"132288208","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

Towards a Sustainable Ecosystem of Intelligent Transportation Systems 迈向可持续的智能交通系统生态系统

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730669

Lewis Tseng, Liwen Wong

{"title":"Towards a Sustainable Ecosystem of Intelligent Transportation Systems","authors":"Lewis Tseng, Liwen Wong","doi":"10.1109/PERCOMW.2019.8730669","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730669","url":null,"abstract":"It is difficult to overstate how large a role Intelligent Transportation Systems (ITS) technology has played in advancing safety, mobility, and productivity in our daily lives. ITS encompasses a broad range of technologies, including information and communication technologies, transportation and communication infrastructures, connected vehicles, and emerging technologies such as Internet-of-Things (IoT). It has been studied extensively in many different disciplines, including transportation, communication, database and management communities. Unfortunately, there are still many unsolved challenges that hinder the large deployment of advanced ITS systems. Recent studies have proposed using Blockchain, an emerging technology that enables decentralized coordination, to address inherent challenges in ITS such as security and scalability. However, these studies did not address a key question: how can we achieve a sustainable ITS ecosystem? This paper presents our preliminary study where we first point out the limitations of prior Blockchain-based ITS systems and then outline an architecture to support a sustainable ITS ecosystem. Our main goal is to stimulate further effort and cross-disciplinary collaboration by providing guidance and reference for future studies.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"70 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":"115791500","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

Probabilistic Analysis of Abnormal Behaviour Detection in Activities of Daily Living 日常生活活动异常行为检测的概率分析

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730682

M. Garcia-Constantino, A. Konios, Idongesit Ekerete, S. Christopoulos, Colin Shewell, C. Nugent, Gareth Morrison

{"title":"Probabilistic Analysis of Abnormal Behaviour Detection in Activities of Daily Living","authors":"M. Garcia-Constantino, A. Konios, Idongesit Ekerete, S. Christopoulos, Colin Shewell, C. Nugent, Gareth Morrison","doi":"10.1109/PERCOMW.2019.8730682","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730682","url":null,"abstract":"This paper presents a probabilistic approach for the identification of abnormal behaviour in Activities of Daily Living (ADLs) from sensor data collected from 30 participants. The ADLs considered are: (i) preparing and drinking tea, and (ii) preparing and drinking coffee. Abnormal behaviour identified in the context of these activities can be an indicator of a progressive health problem or the occurrence of a hazardous incident. The approach presented considers the temporal aspect of the sequences of actions that are part of each ADL and that vary between participants. The average and standard deviation for the durations of each action were calculated to define an average time and a range in which a behaviour could be considered as normal for each stage and activity. The Cumulative Distribution Function (CDF) was used to obtain the probabilities of abnormal behaviours related to the early and late completion of activities and stages within an activity. The data analysis show that CDF can provide accurate and reliable results regarding the presence of abnormal behaviour in stages and activities that last over a minute. Finally, this approach could be used to train machine learning algorithms for the abnormal behaviour detection.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"11 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":"124536112","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

Heart Rate Estimation Algorithm From Wrist-based Photoplethysmogram Using Subspace Learning Method 基于子空间学习方法的腕部光电容积图心率估计算法

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730797

Nasimuddin Ahmed, Shalini Mukhopadhyay, Varsha Sharma, Avik Ghose

{"title":"Heart Rate Estimation Algorithm From Wrist-based Photoplethysmogram Using Subspace Learning Method","authors":"Nasimuddin Ahmed, Shalini Mukhopadhyay, Varsha Sharma, Avik Ghose","doi":"10.1109/PERCOMW.2019.8730797","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730797","url":null,"abstract":"Wrist based devices, like smart-watches, fitness bands and health monitors all provide a common sensor called Photoplethysmography (PPG) to measure optical pulse signal. This is usually used to derive the instantaneous heart-rate (HR), which is useful while doing any exercise or to monitor on a regular basis for chronic patients. However, one major issue with the signal is that it is easily corrupted by ambulatory motion generated by hand movements of the subject. Since, these devices also come equipped with an independent motion sensor, namely a tri-axes accelerometer, researchers have taken interest in trying to correct the motion artifact in PPG using the accelerometer as a reference noise signal. However, it is not a trivial problem and hence, even after a substantial body of research, the problem remains unsolved, especially when considering on-premise estimation due to the resource-constrained nature of wearable devices. In this paper, we aim to solve this problem using subspace based learning approach. Though this approach has been utilized before, we have added some novel steps to the algorithm pipeline and also made modifications so that the algorithm can be possibly run on a typical wearable device. Our preliminary results show efficacy and promise of our proposed approach.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"11 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":"132057446","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

Implementation of Platform Controller and Process Modules of the Edge Computing for IoT Platform 物联网平台边缘计算平台控制器与处理模块的实现

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730848

Hidenobu Watanabe, T. Kondo, T. Ohigashi

引用次数: 3

Detecting Surrounding Users by Reverberation Analysis with a Smart Speaker and Microphone Array 利用智能扬声器和麦克风阵列的混响分析检测周围用户

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730674

Naoki Yoneoka, Yutaka Arakawa, K. Yasumoto

{"title":"Detecting Surrounding Users by Reverberation Analysis with a Smart Speaker and Microphone Array","authors":"Naoki Yoneoka, Yutaka Arakawa, K. Yasumoto","doi":"10.1109/PERCOMW.2019.8730674","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730674","url":null,"abstract":"Recently, smart speakers like Amazon Echo and Google Home have been spread widely. Those devices support users' life through voice interface by receiving voice commands to operate appliances and order goods to online shops. Meanwhile, it is reported that smart speakers are vulnerable to some malicious attacks which steal personal information and/or order unnecessary goods by uttering voice from a device nearby the speaker, abusing the fact that the smart speakers cannot distinguish human voice from machine voice. A new type of attack called DolphinAttack which utters ultrasonic voice inaudible to human is also reported. Therefore, a method to identify which of human or machine is sending voice commands to a smart speaker is desired. In this paper, to prevent such machine-voice based attacks to a smart speaker in absence of residents, we propose a system consisting of a speaker and a microphone array to detect the existence of a human nearby, supposing it can be incorporated in a smart speaker in the future. In our proposed system, the speaker emits sonar sound generated based on Orthogonal Frequency Division Multiplexing (OFDM) in all directions, the microphone array with 8 channels attached on top of the speaker receives the reflected sound, and the human existence is judged by comparing the reflected sound with that measured in the same environment without human. Through experiments with a prototype system, we confirmed that our proposed system can detect the human existence by measuring the reflected signal of 0.5 second.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"233 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":"115609491","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

Combining Secure System Design with Risk Assessment for IoT Healthcare Systems 将安全系统设计与物联网医疗系统风险评估相结合

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730776

F. Kammüller

引用次数: 12

ARDUOUS'19: ARDUOUS'19 – 3rd International Workshop on Annotation of user Data for Ubiquitous Systems - Program 第三届普适系统用户数据注释国际研讨会-程序

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/percomw.2019.8730868

引用次数: 0

Anatomy and Deployment of Robust AI-Centric Indoor Positioning System 鲁棒ai中心室内定位系统的剖析与部署

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730798

Yiannis Gkoufas, S. Braghin

{"title":"Anatomy and Deployment of Robust AI-Centric Indoor Positioning System","authors":"Yiannis Gkoufas, S. Braghin","doi":"10.1109/PERCOMW.2019.8730798","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730798","url":null,"abstract":"Indoor Positioning Systems are gaining market momentum, mainly due to the significant reduction of sensor cost (on smartphones or standalone) and leveraging standardization of related technology. Among various alternatives for accurate and cost-effective Indoor Positioning System, positioning based on the Magnetic Field has proven popular, as it does not require specialized infrastructure. Related experimental results have demonstrated good positioning accuracy. However, when transitioned to production deployments, these systems exhibit serious drawbacks to make them practical: a) accuracy fluctuates significantly across smartphone models and configurations and b) costly continuous manual fingerprinting of the area is required. The developed Indoor Positioning System Copernicus is a self-learning, adaptive system that is shown to exhibit improved accuracy across different smartphone models. Copernicus leverages a minimal deployment of Bluetooth Low Energy Beacons to infer the trips of users, learn and eventually build tailored Magnetic Maps for every smartphone model for the specific indoor area. In a practical deployment, after each trip execution by the users we can observe an increase in the accuracy of positioning.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"33 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":"125444492","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

PerPersuasion'19: PerPersuasion'19 – 1st International Workshop on Pervasive Persuasive System for Behavior Change - Program PerPersuasion'19: PerPersuasion'19 -第一届行为改变的普遍说服系统国际研讨会-程序

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/percomw.2019.8730760

引用次数: 0