2021 IEEE International Conference on Smart Computing (SMARTCOMP)最新文献_第2页

PhD Forum Abstract: Ultra-low Latency Communication in TSN-based Virtual Environments 摘要:基于tsn的虚拟环境中的超低延迟通信

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00088

Andrea Garbugli

引用次数: 0

Analytics of IIoT Data Using a NoSQL Datastore 使用NoSQL数据存储分析工业物联网数据

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00034

Khalid Mahmood, T. Risch, Kjell Orsborn

{"title":"Analytics of IIoT Data Using a NoSQL Datastore","authors":"Khalid Mahmood, T. Risch, Kjell Orsborn","doi":"10.1109/SMARTCOMP52413.2021.00034","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00034","url":null,"abstract":"Many business and mission-critical decisions of the Industrial Internet of Things (IIoT) depend on efficient data management of sensor streams. Contemporary distributed IIoT applications consist of large numbers of sensors, producing massive volumes of heterogeneous sensor streams at high rates. The combination of these features of IIoT applications pose substantial challenges for existing Database Management Systems (DBMSs) in providing scalable data analytics. For example, Relational-DBMSs (RDBMSs) exhibit scalability issues, single point of failure, and difficulty in managing heterogeneity due to it’s rigid schemas. In contrast to RDBMSs, distributed NoSQL datastores could provide scalability of heterogeneous data. However, the simple query processing capabilities of NoSQL datastores limit advanced analytics. In this paper, we first compare both approaches, having an RDBMS and NoSQL backend for providing data-management solutions for distributed IIoT applications. Then, we utilize query processing in an in-memory database to integrate edge computing with the NoSQL datastore. By utilizing high-volume streams from a real-world IIoT application of Bosch Rexroth - Hägglund, we show that the proposed approach can potentially overcome the limitations of both RDBMS and NoSQL databases for performing advanced analytics.","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130138186","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

Towards Estimating UV Exposure Using GPS Signal Strength from a Carrying Smartphone 利用携带智能手机的GPS信号强度估计紫外线照射

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00063

Soichiro Higuma, Kosuke Hatai, Yuuki Nishiyama, K. Sezaki

引用次数: 0

Message from the SmartSys 2021 Workshop Co-Chairs SmartSys 2021研讨会联合主席致辞

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/smartcomp52413.2021.00013

引用次数: 0

A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing 汽车众包中防范Sybils的新型招聘策略

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00035

Federico Concone, Fabrizio De Vita, A. Pratap, Dario Bruneo, G. Re, Sajal K. Das

{"title":"A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing","authors":"Federico Concone, Fabrizio De Vita, A. Pratap, Dario Bruneo, G. Re, Sajal K. Das","doi":"10.1109/SMARTCOMP52413.2021.00035","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00035","url":null,"abstract":"Vehicular Social Networks (VSNs) is an emerging communication paradigm, derived by merging the concepts of Online Social Networks (OSNs) and Vehicular Ad-hoc Networks (VANETs). Due to the lack of robust authentication mechanisms, social-based vehicular applications are vulnerable to numerous attacks including the generation of sybil entities in the networks. We address this important issue in vehicular crowdsourcing campaigns where sybils are usually employed to increase their influence and worsen the functioning of the system. In particular, we propose a novel User Recruitment Policy (URP) that, after extracting the participants within the event radius of a crowdsourcing campaign, detects and filters out the sybil vehicles by using a novel sybil detection approach, called SybilDriver. This technique combines the advantages of VANETs and OSNs by means of an innovative concept of proximity graph obtained from the physical vehicular network, in conjunction with a community detection and Random Forest techniques adopted in the OSN domain. Detailed experimental evaluations demonstrate the effectiveness of our approach and also show that it outperforms existing state-of-the-art methods typically used in the OSNs.1","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122845989","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

From Vertical to Horizontal Buildings Through IoT and Software Defined Approaches 通过物联网和软件定义方法从垂直建筑到水平建筑

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00074

Giuseppe Tricomi, Carlo Scaffidi, Giovanni Merlino, F. Longo, S. Distefano, A. Puliafito

引用次数: 5

Supporting Insertion in Encrypted Multi-Maps with Volume Hiding 支持插入加密多映射与卷隐藏

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00058

S. Ishihara, Chiemi Watanabe, T. Amagasa

{"title":"Supporting Insertion in Encrypted Multi-Maps with Volume Hiding","authors":"S. Ishihara, Chiemi Watanabe, T. Amagasa","doi":"10.1109/SMARTCOMP52413.2021.00058","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00058","url":null,"abstract":"A new threat in encrypted databases, called volume leakage was reported by Kellaris et al. and Grubbs et al., where the volume of data associated with each key in a multi-map is leaked. An existing method addresses this problem by adding noise entries to the multi-map according to differential privacy so that adversaries cannot infer the volume of data. However, it assumes that the data is static and therefore does not support any update operations, such as insertion, deletion, etc. To this problem, this paper proposes a method that enables data insertion in the encrypted multi-map with volume hiding. The basic idea is to use local differential privacy instead of differential privacy in adding noise entries when performing insertions. Besides, we employ cuckoo hashing to perturb the place of insertion, thereby allowing insertions of new items without leaking the volume of entries.However, our proposed method is not suitable for large databases. We consider the use of cloud database in healthcare as a use case. The cloud database is necessary for healthcare in cases such as when multiple medical institutions want to share medical data or when home healthcare providers want to access medical data from outside of hospitals. There are privacy issues if the number of patients for each disease is known. Furthermore, when inserting data of a new patient, we want to hide which disease the patient is suffering from.We conduct experiments to assess the feasibility of the proposed method, and it presents a reasonable performance.","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128126512","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

Energy-Efficient Mapping for a Network of DNN Models at the Edge 边缘处DNN模型网络的节能映射

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00024

Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Aaron Lamb, Carole-Jean Wu, S. Vrudhula

引用次数: 5

A Remotely Configurable Hardware/Software Architecture for a Distance IoT Lab 用于远程物联网实验室的远程可配置硬件/软件架构

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00070

Carlo Scaffidi, S. Distefano

引用次数: 2

F3S: Free Flow Fever Screening F3S:自由流动发热筛查

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00060

Kunal Rao, G. Coviello, Min Feng, Biplob K. Debnath, Wang-Pin Hsiung, M. Sankaradass, Yi Yang, Oliver Po, Utsav Drolia, S. Chakradhar

{"title":"F3S: Free Flow Fever Screening","authors":"Kunal Rao, G. Coviello, Min Feng, Biplob K. Debnath, Wang-Pin Hsiung, M. Sankaradass, Yi Yang, Oliver Po, Utsav Drolia, S. Chakradhar","doi":"10.1109/SMARTCOMP52413.2021.00060","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00060","url":null,"abstract":"Identification of people with elevated body temperature can reduce or dramatically slow down the spread of infectious diseases like COVID-19. We present a novel fever-screening system, F3S, that uses edge machine learning techniques to accurately measure core body temperatures of multiple individuals in a free-flow setting. F3S performs real-time sensor fusion of visual camera with thermal camera data streams to detect elevated body temperature, and it has several unique features: (a) visual and thermal streams represent very different modalities, and we dynamically associate semantically-equivalent regions across visual and thermal frames by using a new, dynamic alignment technique that analyzes content and context in real-time, (b) we track people through occlusions, identify the eye (inner canthus), forehead, face and head regions where possible, and provide an accurate temperature reading by using a prioritized refinement algorithm, and (c) we robustly detect elevated body temperature even in the presence of personal protective equipment like masks, or sunglasses or hats, all of which can be affected by hot weather and lead to spurious temperature readings. F3S has been deployed at over a dozen large commercial establishments, providing contact-less, free-flow, real-time fever screening for thousands of employees and customers in indoors and outdoor settings.","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122714088","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