2017 20th Conference of Open Innovations Association (FRUCT)最新文献_第6页

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071330

R. Neronov, G. Lukyanov, A. Rassadina, A. Voronin, A. Malyshev, T. Seeger

{"title":"Studies of the human breathing","authors":"R. Neronov, G. Lukyanov, A. Rassadina, A. Voronin, A. Malyshev, T. Seeger","doi":"10.23919/FRUCT.2017.8071330","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071330","url":null,"abstract":"The article presents four branches of multi-year research of human breathing. They are (1) modeling and study the movement of the convective flows in the artificial models of nose; (2) numerical modeling of the convective flows movement on the computer models; (3) breathing research with the help of diagnostic equipment; (4) determination of the exhaled air composition. In all our studies the breathing was examined as a dynamical process. The results of pressure, temperature, velocity and concentration CO2 measuring in the nostrils and in the significant parts of the artificial model of nasal cavity are presented. For this measurements estimated the correlation entropy, correlation dimension. The 3D geometrical model of human nasal cavities obtained from computer-aided tomography data using Mercury Amira program is also given. The 3D unstructured mesh with 1,5×107 finite elements was constructed after the segmentation using Altair Hypermesh software had been finished. The mesh was used to set up an unsteady simulation of airflow inside the obtained geometrical model. Application of DES method on the mesh of a good quality made it possible to distinguish the small-scale turbulent swirls inside the flow. A gas sensor based on spontaneous Raman scattering is proposed for the compositional analysis of single breath events. The Raman sensor is able to detect all the major gas components, i.e. N2, O2, CO2, and H2O at ambient pressure with a high temporal resolution. Concentration fluctuations within a single breath event could be resolved.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121073052","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

Context-Oriented knowledge management for decision support in business socio-cyber-physical networks: Conceptual and methodical foundations 商业社会-网络-物理网络中决策支持的面向上下文的知识管理:概念和方法基础

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071342

A. Smirnov, K. Sandkuhl

引用次数: 2

Data security and quality evaluation framework: Implementation empirical study on android devices 数据安全与质量评估框架:在android设备上的实现实证研究

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071307

I. Khokhlov, L. Reznik, Ashish Kumar, Ankan Mookherjee, R. Dalvi

{"title":"Data security and quality evaluation framework: Implementation empirical study on android devices","authors":"I. Khokhlov, L. Reznik, Ashish Kumar, Ankan Mookherjee, R. Dalvi","doi":"10.23919/FRUCT.2017.8071307","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071307","url":null,"abstract":"Tremendous growth of a number of mobile devices and amount of data produced by sensors embedded therein requires new approaches to sensor data management. The main feature of the novel approach proposed in this paper includes an assignment of security and data quality indicators to data entities. These indicators represent the trustworthiness level, which a data consumer may have. Employing them as filters would allow for an optimization of diverse sensors data processing and fusing with a significant reduction in data volumes. The paper describes the developed comprehensive methodology that resulted in the evaluation framework. Framework merges together sensor data collection and security and quality evaluation methods as well as procedures for calculating various data quality metrics such as sensor accuracy, reliability, timeliness, correctness and their integration. The paper desribes main features of this framework and examples of its implementation on Android based smartphone devices. It presents the results of an empirical study of the framework implementation and discusses its application for an anomaly detection in sensor data.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124766883","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: 9

Symmetric encryption for error correction 用于纠错的对称加密

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071325

N. Moldovyan, A. Levina, S. Taranov

引用次数: 2

The method for increasing of EEG signal sample entropy stability and its application for human state monitoring 增加脑电信号样本熵稳定性的方法及其在人体状态监测中的应用

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071357

Y. Zhivolupova, Oleg Tcvetkov

引用次数: 5

Method and tools for automated end-to-end testing of applications for sailfish OS sailfish OS应用程序端到端自动化测试的方法和工具

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071350

Andrey Vasilyev, I. Paramonov, Sergey Averkiev

引用次数: 1

Topic model visualization with IPython 使用ippython实现主题模型可视化

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071303

S. Karpovich, A. Smirnov, N. Teslya, A. Grigorev

引用次数: 12

Formalization of the feature space for detection of attacks on wireless sensor networks 无线传感器网络攻击检测特征空间的形式化

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071358

I. Zikratov, Victoria M. Korzhuk, Ilya Shilov, Alexey Gvozdev

{"title":"Formalization of the feature space for detection of attacks on wireless sensor networks","authors":"I. Zikratov, Victoria M. Korzhuk, Ilya Shilov, Alexey Gvozdev","doi":"10.23919/FRUCT.2017.8071358","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071358","url":null,"abstract":"The article describes the formalization of the feature space in order to detect abnormal behaviour of nodes in wireless sensor network using statistical methods. The main methods of destructive impact on the infrastructure of wireless sensor networks based on ZigBee Protocol stack are considered. Special attention is paid to attacks on integrity and availability, which theoretically can be detected using the methods of machine learning and mathematical statistics. On the basis of standards and specifications, as well as considered attacks, the space of more than 50 features is developed. Using the methods of Shannon, Kullback and accumulated frequencies, informative value of formalized signs was evaluated. Conclusions about the existing dependencies between the information content of features, the statistics collection period and sample size used to calculate the information content are drawn. Received the results can be used as a basis for further evaluation of the most suitable characteristics for the classification of attacks depending on the network characteristics. In the future the main aim of the study is to build an intrusion detection system that uses statistics of the interactions for a certain period of time as a source of information about the system.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127711889","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

Demonstration of a signal enhanced fast Raman sensor for human breath analysis 用于人体呼吸分析的信号增强快速拉曼传感器的演示

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071338

S. Schlüter, T. Seeger, G. Lukyanov

引用次数: 0

Algorithms for ECG analysis in mobile cardiac monitoring system 移动心电监测系统的心电分析算法

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071300

A. Kalinichenko, S. Motorina, A. Uskov

引用次数: 2