发布求助
文献互助 智能选刊 最新文献

2020 IEEE International Conference on Smart Computing (SMARTCOMP)最新文献

筛选
英文 中文
Sensor Data Stream on-line Compression with Linearity-based Methods 基于线性方法的传感器数据流在线压缩
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00049
Olli Väänänen, T. Hämäläinen
{"title":"Sensor Data Stream on-line Compression with Linearity-based Methods","authors":"Olli Väänänen, T. Hämäläinen","doi":"10.1109/SMARTCOMP50058.2020.00049","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00049","url":null,"abstract":"The escalation of the Internet of Things applications has put on display the different sensor data processing methods. The sensor data compression is one of the fundamental methods to reduce the amount of data needed to transmit from the sensor node which is often battery powered and operates wirelessly. Reducing the amount of data in wireless transmission is an effective way to reduce overall energy consumption in wireless sensor nodes. The methods presented and tested are suitable for constrained sensor nodes with limited computational power and limited energy resources. The methods presented are compared with each other using compression ratio and inherent latency. Latency is an important parameter in on-line applications. The improved variation of the linear regression-based method called RT-LRbTC is tested and it has proved to be a potential method to be used in a wireless sensor node with a fixed and predictable latency. The compression efficiency of the compression algorithms is tested with real measurement data sets.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129031678","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
Anomaly Detection on IOT Data for Smart City 面向智慧城市的物联网数据异常检测
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00087
P. Bellini, D. Cenni, P. Nesi, M. Soderi
{"title":"Anomaly Detection on IOT Data for Smart City","authors":"P. Bellini, D. Cenni, P. Nesi, M. Soderi","doi":"10.1109/SMARTCOMP50058.2020.00087","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00087","url":null,"abstract":"Smart Cities are probably on the more complex environment for IOT data collection. IOT data could have different producers, sample rates, periodic and aperiodic, typical trends, structures and stacks, faults, etc. Thus, a strongly flexible and scalable solution is needed to avoid investing huge amount of resources in anomaly detection that has to be done in real time and has to be agnostic to the above-mentioned problems. This paper presents a solution for automatic detection of anomalies. The proposed approach scales seamlessly and integrates in different contexts, featuring different sensor types, protocols, and data formats, and computationally cheap. The research has been developed in the context of Snap4City PCP Select4Cities project and is presently implemented in the Https://www.snap4city.org solution adopted in several cities and regions.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128104998","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
A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks 一种新的基于正基的深度神经网络ELU激活函数快速逼近
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00053
M. Cococcioni, Federico Rossi, E. Ruffaldi, S. Saponara
{"title":"A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks","authors":"M. Cococcioni, Federico Rossi, E. Ruffaldi, S. Saponara","doi":"10.1109/SMARTCOMP50058.2020.00053","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00053","url":null,"abstract":"Nowadays, real-time applications are exploiting DNNs more and more for computer vision and image recognition tasks. Such kind of applications are posing strict constraints in terms of both fast and efficient information representation and processing. New formats for representing real numbers have been proposed and among them the Posit format appears to be very promising, providing means to implement fast approximated version of widely used activation functions in DNNs. Moreover, information processing performance are continuously improved thanks to advanced vectorized SIMD (single-instruction multiple-data) processor architectures and instructions like ARM SVE (Scalable Vector Extension). This paper explores both approaches (Posit-based implementation of activation functions and vectorized SIMD processor architectures) to obtain faster DNNs. The two proposed techniques are able to speed up both DNN training and inference steps.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132974129","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
Lightweight Security Settings in RFID Technology for Smart Agri-Food Certification 智能农业食品认证中RFID技术的轻量级安全设置
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00050
L. Calderoni, D. Maio
{"title":"Lightweight Security Settings in RFID Technology for Smart Agri-Food Certification","authors":"L. Calderoni, D. Maio","doi":"10.1109/SMARTCOMP50058.2020.00050","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00050","url":null,"abstract":"In this paper we propose a novel technique to implement secure and efficient applications for the agri-food certification chain. Our proposal relies on RFID technologies which is probably the most relevant enabling solution for ubiquitous IoT systems. We analyze a recently introduced and promising RFID tag and we prove it is possible to certify its genuineness without installing any third party application upon the consumer smartphone. The proposed solution is based on a lightweight security technique which provides the mirroring of the tag identifier combined with the encryption of a NDEF formatted file.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127879817","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
Title Page 标题页
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/smartcomp50058.2020.00002
{"title":"Title Page","authors":"","doi":"10.1109/smartcomp50058.2020.00002","DOIUrl":"https://doi.org/10.1109/smartcomp50058.2020.00002","url":null,"abstract":"","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116790716","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
Simulating Smart Campus Applications in Edge and Fog Computing 在边缘和雾计算中模拟智能校园应用
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00072
Denis Contini, Lucas Fernando Souza de Castro, E. Madeira, S. Rigo, L. Bittencourt
{"title":"Simulating Smart Campus Applications in Edge and Fog Computing","authors":"Denis Contini, Lucas Fernando Souza de Castro, E. Madeira, S. Rigo, L. Bittencourt","doi":"10.1109/SMARTCOMP50058.2020.00072","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00072","url":null,"abstract":"Due to the rapid increase of IoT applications and their use in many different areas, large amounts of data have been generated to be processed and stored. In this scenario, some applications are sensitive to high latency and response times. In order to fulfil these requirements, Edge and Fog Computing appear with the objective of bringing processing and storage devices closer to applications and management mechanisms. In this context, due to limitations related to high cost, scalability and planning, several mechanisms and algorithms need to be simulated before being implemented in the real world. This paper presents a comparison between two simulation tools and their main characteristics (EdgeCloudSim and iFogSim) using a smart campus scenario deployed at the University of Campinas, where the sensors collect data from water meters and smart energy marker watches, in addition to smart public transportation and battery disposal bins. Our evaluation shows that the information processing in edge and fog can efficiently serve the applications, however, each simulation tool has its specificities, and should be used according to the researcher's objectives and needs.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114680300","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
A Preliminary Solution for Anomaly Detection in Water Quality Monitoring 水质监测中异常检测的初步解决方案
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00086
C. Bourelly, A. Bria, L. Ferrigno, L. Gerevini, C. Marrocco, M. Molinara, G. Cerro, M. Cicalini, Andrea Ria
{"title":"A Preliminary Solution for Anomaly Detection in Water Quality Monitoring","authors":"C. Bourelly, A. Bria, L. Ferrigno, L. Gerevini, C. Marrocco, M. Molinara, G. Cerro, M. Cicalini, Andrea Ria","doi":"10.1109/SMARTCOMP50058.2020.00086","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00086","url":null,"abstract":"In smart city framework, the water monitoring through an efficient, low-cost, low-power and IoT-oriented sensor technology is a crucial aspect to allow, with limited resources, the analysis of contaminants eventually affecting wastewater. In this sense, common interfering substances, as detergents, cannot be classified as dangerous contaminants and should be neglected in the classification. By adopting classical machine learning approaches having a finite set of possible responses, each alteration of the sensor baseline is always classified as one out of the predetermined substances. Consequently, we developed an anomaly detection system based on one-class classifiers, able to discriminate between a recognized set of substances and an interfering source. In this way, the proposed detection system is able to provide detailed information about the water status and distinguish between harmless detergents and dangerous contaminants.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131693490","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: 8
A Wireless System for Sport Assessment 一种无线运动评估系统
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00039
A. L. Ruscelli, G. Cecchetti, Mirco Manciulli, P. Castoldi
{"title":"A Wireless System for Sport Assessment","authors":"A. L. Ruscelli, G. Cecchetti, Mirco Manciulli, P. Castoldi","doi":"10.1109/SMARTCOMP50058.2020.00039","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00039","url":null,"abstract":"In the context of sport assessment, the evaluation and monitoring of the referees decisions is of interest for several sports in order to avoid disputes and assist the referees in their activity. Some current solutions are based on video recording, third referee, etc. In this paper, a new wireless wearable system, result of the Italian research project REC-VISIO, is described suitable to assess the referees actions when they are on the move. The system is able to collect the referee staff visual perspective of a sport match, whose subjective is recorded, preprocessed and sent by a wireless network to a sideline workstation for final stabilization. The system architecture design and implementation are described along with the experimentation on the field, considering as use case a football match. The experimentation has shown the successful integration of all the different system components, where the cooperation of sensor-based subsystem, processing unit, and communication subsystem allows to collect and stabilize the video streaming reducing the effects of the movement of the referee, and send in real-time the video content to the sideline workstation without video quality degradation.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066104","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
A Privacy-Aware Architecture to Share Device-to-Device Contextual Information 共享设备间上下文信息的隐私感知架构
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00044
Juan Luis Herrera, J. Berrocal, J. M. Murillo, Hsiao-Yuan Chen, C. Julien
{"title":"A Privacy-Aware Architecture to Share Device-to-Device Contextual Information","authors":"Juan Luis Herrera, J. Berrocal, J. M. Murillo, Hsiao-Yuan Chen, C. Julien","doi":"10.1109/SMARTCOMP50058.2020.00044","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00044","url":null,"abstract":"Smartphones have become the perfect companion devices. They have myriad sensors for gathering the context of their owners in order to adapt the behaviour of different applications to the device's situation. This information can also be of great help in enabling the development of social applications that, otherwise, would require a costly and intractable deployment of sensors. Mobile Crowd Sensing systems highly reduce this cost, but realizing this vision using traditional centralized networking primitives requires a constant stream of the sensed data to the cloud in order to store and process it, which in turn leads to the individuals about whom the data is sensed losing control over the privacy of the data. In this paper, we propose an architecture for a device-to-device Mobile Crowd Sensing system and we deepen on a new privacy model that allows users to define access control policies based on their context and the consumer's context.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129649494","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
Flood Detection Framework Fusing The Physical Sensing & Social Sensing 融合物理感知与社会感知的洪水检测框架
2020 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2020-09-01 DOI: 10.1109/SMARTCOMP50058.2020.00080
Neha Singh, Bipendra Basnyat, Nirmalya Roy, A. Gangopadhyay
{"title":"Flood Detection Framework Fusing The Physical Sensing & Social Sensing","authors":"Neha Singh, Bipendra Basnyat, Nirmalya Roy, A. Gangopadhyay","doi":"10.1109/SMARTCOMP50058.2020.00080","DOIUrl":"https://doi.org/10.1109/SMARTCOMP50058.2020.00080","url":null,"abstract":"We investigate the practical challenge of localized flood detection in real smart city environment using the fusion of physical sensor and social sensing models to depict a reliable and accurate flood monitoring and detection framework. Our proposed framework efficiently utilize the physical and social sensing models to provide the flood-related updates to the city officials. We deployed our flood monitoring system in Ellicott City, Maryland, USA and connect it to the social sensing module to perform the flood-related sensor and social data integration and analysis. Our ground-based sensor network model record and performs the predictive data analytic by forecasting the rise in water level (RMSE=0.2) that demonstrates the severity of upcoming flash floods whereas, our social sensing model helps collect and track the flood-related feeds from Twitter. We employ a pre-trained model and inductive transfer learning based approach to classify the flood-related tweets with 90% accuracy in the use of unseen target flood events. Finally our flood detection framework categorizes the flood relevant localized contextual details into more meaningful classes in order to help the emergency services and local authorities for effective decision making.","PeriodicalId":346827,"journal":{"name":"2020 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130646759","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信