Tolstaya Anastasia

Work place: National Research Nuclear University ―MEPhI‖, Moscow, Russia

E-mail: polynna@yandex.ru

Website:

Research Interests:

Biography

Tolstaya Anastasia, graduate of National Research Nuclear University ―MEPhI‖. Department of Management and Economics of High Technologies.

Author Articles
Security Software Green Head for Mobile Devices Providing Comprehensive Protection from Malware and Illegal Activities of Cyber Criminals

By Zhukov Igor Mikhaylov Dmitry Starikovskiy Andrey Kuznetsov Dmitry Tolstaya Anastasia Zuykov Alexander

DOI: https://doi.org/10.5815/ijcnis.2013.05.01, Pub. Date: 8 Apr. 2013

This paper deals with the description of the threats to mobile devices and suggests the security software that provides comprehensive protection of personal data and mobile telephone from malware and illegal activity of cyber criminals. The developed security software Green Head protects personal smartphones of majority of brands from spam, viruses and unauthorized access. It is an innovative software product ensuring information security of mobile phones from all currently existing threats that today does not have any full analogs. Green Head security software warns the user about wiretapping, which keeps professional and personal confidential information intact. The developed security software is universal for people using mobile phones in professional and personal life because any stored information is protected from various attacks.

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General Research on Automatic Image Shrinking in the Wireless Capsule Endoscopy

By Igor Zhukov Fedorov Evgeny Mikhaylov Dmitry Ivanova Ekaterina Kukushkin Alexander Starikovski Andrey Tolstaya Anastasia

DOI: https://doi.org/10.5815/ijigsp.2012.03.04, Pub. Date: 8 Apr. 2012

In this paper we propose a method of image shrinking without loss of the quality with regard to a modern field in medical research - wireless capsule endoscopy. 
The wireless capsule is a small devise with a size of 1,5x2 cm. That means that the memory chip on which the results of the examination of the gastrointestinal tract are stored should also be tiny. The scope of the device imposes strict restrictions on the shrinking scheme that should be taken into consideration.
This article gives a brief overview of existing data shrinking methods and their application possibilities, namely triplets coding of binary combinations, conversion combination MTF (move-to-front) and Rice coding. Taking into consideration the specificity of application the more promising is the third way of image shifting without loss. This method is based on modified shrinking algorithms mentioned above.
According to the carried out experiments the overall scheme of the device was developed. This scheme implements the most efficient method of coding.
The described algorithm allows image shrinking on 20%. That means that endoscopic capsule may work significantly longer.

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