IEEE EUROCON 2019 -18th International Conference on Smart Technologies最新文献_第3页

A Customizable DDR3 SDRAM Controller Tailored for FPGA-Based Data Buffering Inside Real-Time Range-Doppler Radar Signal Processing Back Ends 实时距离-多普勒雷达信号处理后端基于fpga的数据缓冲定制DDR3 SDRAM控制器

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861603

V. Milovanovic, Darko Tasovac

引用次数: 1

A novel qualitative metric based approach to the improvement of data plane flexibility in software-defined networks 一种基于定性度量的改进软件定义网络数据平面灵活性的新方法

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861633

Enio Kaljic, A. Maric, M. Hadzialic

{"title":"A novel qualitative metric based approach to the improvement of data plane flexibility in software-defined networks","authors":"Enio Kaljic, A. Maric, M. Hadzialic","doi":"10.1109/EUROCON.2019.8861633","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861633","url":null,"abstract":"The software-defined networking (SDN) is an articulation of the idea of increasing the network programmability with the aim of solving the problems identified in earlier research, regarding the complex and the time-consuming process of the protocol and interface standardization. An analysis of research in the field of SDN, presented through various review and survey papers, has shown that previous research was not sufficiently focused on flexibility and programmability of the data plane in SDN. Therefore, the goal of this paper is to improve the flexibility of the data plane in SDN by increasing the programmability level of the packet-switching node. To achieve the set goal, it was necessary to choose an appropriate metric for evaluation of flexibility and programmability of the data plane. Since there is no common position on the choice of metrics, a novel metric based on qualitative criteria is proposed in this paper. An existing data plane architectures in SDN are observed through the proposed metric. In the end, a novel data plane architecture, with improved flexibility from the aspect of the qualitative metric, is proposed.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114108427","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

Isolated Sign Recognition with a Siamese Neural Network of RGB and Depth Streams 基于RGB和深度流的连体神经网络的孤立符号识别

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861945

Anil Osman Tur, H. Keles

引用次数: 5

Energy Storage for Frequency Control in High Photovoltaic Power Grids 基于频率控制的高光伏电网储能

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861993

Shutang You, Yilu Liu, Yong Liu, Abigail Till, Hongyu Li, Yu Su, Jiecheng Zhao, Jin Tan, Y. Zhang, Maozhong Gong

引用次数: 30

Bluetooth Low Energy-based Smart Home Android Solution 蓝牙低功耗智能家居安卓解决方案

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861866

M. Porjazoski, P. Latkoski, B. Popovski

引用次数: 5

Competitive Game Theory Efficiency ICT Model in MultiPlayer Market 多人市场中的竞争博弈论效率ICT模型

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861997

Igor Bimbiloski, V. Rakovic, Anis Sefidanoski, A. Risteski

引用次数: 0

Minimally Invasive Assessment of Mental Stress based on Wearable Wireless Physiological Sensors and Multivariate Biosignal Processing 基于可穿戴无线生理传感器和多元生物信号处理的心理应激微创评估

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861614

R. Pernice, G. Nollo, Matteo Zanetti, M. Cecco, A. Busacca, L. Faes

{"title":"Minimally Invasive Assessment of Mental Stress based on Wearable Wireless Physiological Sensors and Multivariate Biosignal Processing","authors":"R. Pernice, G. Nollo, Matteo Zanetti, M. Cecco, A. Busacca, L. Faes","doi":"10.1109/EUROCON.2019.8861614","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861614","url":null,"abstract":"The development of connected health technologies for the continuous monitoring of the psychophysical state of individuals performing daily life activities requires the aggregation of non-intrusive sensors and the availability of methods and algorithms for extracting the relevant physiological information. The present study proposes an integrated approach for the objective assessment of mental stress which combines wirelessly connected low invasive biosensors with multivariate physiological time series analysis. In a group of 18 healthy subjects monitored in a relaxed resting state and during two experimental conditions inducing mental stress and sustained attention (respectively, mental arithmetic and serious game), we collected simultaneously multichannel EEG, one lead ECG, respiration and blood volume pulse. From these signals, synchronous physiological time series were extracted measuring the $delta$, $theta$, $alpha$, and $beta$ EEG amplitudes, the heart period, the sampled respiratory activity and the pulse arrival time. For each condition, five minute windows of each of these seven time series were characterized with measures in the time domain (mean, standard deviation) and in the information domain (self entropy, measuring time series regularity). We show that the dynamical activity of the different physiological systems is affected in a different way by the alteration of the psychophysical state of the subjects induced by stress, and that the measures in the two domains can elicit complementary information about mental stress and sustained attention. These results advocate the feasibility of connected health technology for minimally invasive, automatic classifiers of different levels of mental stress in real life scenarios.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128136013","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

Capacitive Sensor with Stretchable Membrane Fabricated by 3D Printing for Displacement Application 3D打印可拉伸膜电容式位移传感器

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861960

N. Blaz, M. Kisić, L. Zivanov, M. Damnjanović

引用次数: 2

An Optimal Placement of ADMS in Cloud Data Center ADMS在云数据中心的最佳配置

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861882

Nemanja Popovic, Marina Stanojevic, I. Seskar

引用次数: 0

Locating a target from uncertain data: convex supersets based on linear-fractional representations 从不确定数据中定位目标:基于线性分数表示的凸超集

IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861977

Cláudia Soares, J. Xavier

{"title":"Locating a target from uncertain data: convex supersets based on linear-fractional representations","authors":"Cláudia Soares, J. Xavier","doi":"10.1109/EUROCON.2019.8861977","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861977","url":null,"abstract":"We address the problem of locating a target by using measurements from a set of sensors called anchors. Each anchor has a known location and measures its distance to the target, the measurement being contaminated with additive noise. The noise vector, which contains the noise realizations across the anchors, is naturally unknown, but we assume it to be drawn from a known bounded uncertainty set.Because the noise vector is unknown, the location of the target is not uniquely defined from the available vector of measurements: uncountably many pairs of target positions and noise vectors can account for the measurements. In fact, the set of all possible target positions (consistent with the measurements) can be nonconvex and even disconnected. We consider the problem of finding a simple convex set—a rectangle—that encloses all possible target locations. We use ideas from linear-fractional representations of uncertainty (LFR) to create convex optimization problems that yield the rectangle. Numerical examples indicate that our LFR approach gives a smaller enclosing rectangle (thus, a tighter delimitation of the target) than a standard convex relaxation, for most of the randomly generated scenarios.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114329124","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