2017 20th Conference of Open Innovations Association (FRUCT)最新文献_第4页

The model of the attack implementation on wireless sensor networks 无线传感器网络攻击实现模型

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071310

Victoria M. Korzhuk, I. Krivtsova, Ilya Shilov

{"title":"The model of the attack implementation on wireless sensor networks","authors":"Victoria M. Korzhuk, I. Krivtsova, Ilya Shilov","doi":"10.23919/FRUCT.2017.8071310","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071310","url":null,"abstract":"The article presents a method of wireless sensor network attacks modelling. The main ways of attack committing are briefly described. The existing modelling environments are analysed to select the most appropriate tools for model creating. In order to simplify software implementation of the model of attacks on the ZigBee wireless sensor network, the main parameters of the packet transmission at the physical layer for different frequency bands and signal modulation schemes in accordance with the standard IEEE 802.15.4 are calculated. Based on these data, the basic assumptions and limitations for the model are introduced. A software model of implementation of the various attacks on integrity and availability in wireless sensor networks based on OMNeT++ simulator is realized. Two topologies: mesh network and cluster tree are presented. For each topology its own addressing scheme and routing is provided: AODV for mesh network and domain addressing for the clustered tree. The experiment connected with the count of all packets and route packets in consecutive intervals is conducted. The described model may be used to obtain statistical information about the interactions in the wireless sensor network and about the attacks on such network.","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":"125996154","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

Mobile edge computing services for dynamic quality of service control 用于动态服务质量控制的移动边缘计算服务

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071335

E. Pencheva, I. Atanasov

引用次数: 2

Analysis of E-mail communication activities for detecting patterns of pathological behaviour 分析电子邮件通信活动，检测病理行为模式

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071329

M. Negnevitsky, Mark Jyn-Huey Lim, J. Hartnett

引用次数: 1

Automated image analysis in multispectral system for cervical cancer diagnostic 多光谱自动图像分析用于宫颈癌诊断

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071332

N. Obukhova, A. Motyko, Uk Kang, S. Bae, Dae-Sic Lee

{"title":"Automated image analysis in multispectral system for cervical cancer diagnostic","authors":"N. Obukhova, A. Motyko, Uk Kang, S. Bae, Dae-Sic Lee","doi":"10.23919/FRUCT.2017.8071332","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071332","url":null,"abstract":"Uterine cervical cancer is the second most common cancer in women worldwide. The accuracy of colposcopy is highly dependent on the physicians individual skills. In expert hands, colposcopy has been reported to have a high sensitivity (96%) and a low specificity (48%) when differentiating abnormal tissues. This leads to a significant interest to activities aimed at the new diagnostic systems and new automatic methods of coloposcopic images analysis development. The presented paper is devoted to developing method based on analyses fluorescents images obtained with different excitation wavelength. The sets of images were obtained in clinic by multispectral colposcope LuxCol. The images for one patient includes: images obtained with white light illumination and with polarized white light; fluorescence image obtained by excitation at wavelength of 360nm, 390nm, 430nm and 390nm with 635 nm laser. Our approach involves images acquisition, image processing, features extraction, selection of the most informative features and the most informative image types, classification and pathology map creation. The result of proposed method is the pathology map — the image of cervix shattered on the areas with the definite diagnosis such as norm, CNI (chronic nonspecific inflammation), CIN(cervical intraepithelial neoplasia). The obtained result on the border CNI/CIN sensitivity is 0.85, the specificity is 0.78. Proposed algorithms gives possibility to obtain correct differential pathology map with probability 0.8. Obtained results and classification task characteristics shown possibility of practical application pathology map based on fluorescents images.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"10 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":"125798204","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

A systematic review of proactive driver support systems and underlying technologies 对主动驾驶支持系统和基础技术的系统回顾

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071347

A. Taramov, N. Shilov

引用次数: 1

Wavelet analysis of compressed biomedical signals 压缩生物医学信号的小波分析

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071345

Andrey B. Stepanov

{"title":"Wavelet analysis of compressed biomedical signals","authors":"Andrey B. Stepanov","doi":"10.23919/FRUCT.2017.8071345","DOIUrl":"https://doi.org/10.23919/FRUCT.2017.8071345","url":null,"abstract":"The paper proposes mathematical apparatus that can be used for wavelet analysis of compressed biomedical signals. As an example of biomedical signals, electrocardiogram and electroencephalogram are considered. A brief description of these signals is given. In the basis of the proposed algorithm of wavelet analysis of compressed biomedical signals lies the use of wavelet decomposition of the signal with the subsequent analysis of approximating coefficients of the set level with the use of continuous wavelet transform and synthesized wavelet. Below is suggested a brief description of the wavelet synthesis procedure for continuous wavelet transform as well as neural network and spline wavelet models proposed by the author. It has been practically proven that application of this algorithm allows us to compress electrocardiogram and electroencephalogram 8 times. In this case possibility to detect the target feature in biomedical signal based on the analysis results of the continuous wavelet transform. Noted, however, that the use of wavelet compression results in a loss of high frequency information in a signal. Therefore, the algorithm must not be applied in cases where the preservation of small fragments in a signal typical of high-frequency components is very important. This algorithm can be applied in the implementation of wavelet analysis of biomedical signals system on mobile devices, where it is important to reduce the amount of stored, transmitted and / or processed information.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"30 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":"133225252","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

Cellular neural network as a non-linear filter of impulse noise 细胞神经网络作为脉冲噪声的非线性滤波器

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071343

E. Solovyeva

引用次数: 14

Soft quantization of the production's knowledgebases for multi-agent systems 多智能体系统生产知识库的软量化

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071294

S. Fomicheva

引用次数: 4

Isometric-Based method for hardware automated diagnostic of functional status of central nervous system 基于等距图的中枢神经系统功能状态硬件自动诊断方法

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071337

N. Safiannikov, O. Bureneva, Z. Aleksanyan

引用次数: 1

The choice between delta and shift operators for low-precision data representation 低精度数据表示的增量和移位运算符之间的选择

2017 20th Conference of Open Innovations Association (FRUCT) Pub Date : 2017-04-01 DOI: 10.23919/FRUCT.2017.8071291

D. Butusov, T. Karimov, D. Kaplun, A. Karimov, Yennun Huang, Szu-Chuang Li

引用次数: 3