Ondrej Krejcar

Complex Biomedical System with Mobile Clients

Our project deal with the system development of personal sources in area of home care agencies. System consists of the three main parts - PC application, mobile application and database server. All these parts are built on Microsoft .NET solution namely on performances .NET Framework 3.5 and MS SQL server 2008, .NET Compact Framework 3.5 and MS SQL server 3.5 Compact Edition. System works offline, whereas synchronization mobile arrangement with data in database is made only in agency by the help of technology USB, Bluetooth or WiFi. However the system has also the possibility to work in the online mode, allows the interviewing on database by the use of the web services. Software layer synchronization administration data is based on technologies ADO .NET and Linq. System will further develop and will base for advancement biomedical science research framework.

Problem solving of low data throughput on mobile devices by artefacts prebuffering

The paper deals with a problem of low data throughput on wirelessly connected mobile devices and a possibility to solve this problem by prebuffering of selected artefacts. The basics are in determining the problem parts of a mobile device and solve the problem by a model of data prebuffering-based system enhancement for locating and tracking users inside the buildings. The framework uses a WiFi network infrastructure to allow the mobile device determine its indoor position. User location is used for data prebuffering and for pushing information from a server to PDAs. All server data are saved as artefacts with its indoor position information. Accessing prebuffered data on a mobile device can significantly improve a response time needed to view large multimedia data. The solution was tested on a facility management information system built on purpose with a testing collection of about hundred large size artefacts.

Modern smart device-based concept of sensoric networks

The modern society evolves into a sensorial network environment where individual sensor data can be transformed into cumulative and comprehensive representation for human. In a real time, it is independent of current location or behavior. The only limits to increase productivity and to create a smarter surrounding environment are personal habits and technology progress. The paper describes sensorial framework, which is dealing with the current aspects of technology, sociology, and usability in daily life usage of ubiquitous mobile devices with sensors, and arising computed and energy power. Nowadays, most of the common tasks of our lives are mainly influenced by network and social connectivity where infrastructural speed limits are provided by the information flow.

Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection

Sleep is not just a passive process, but rather a highly dynamic process that is terminated by waking up. Throughout the night a specific number of sleep stages that are repeatedly changing in various periods of time take place. These specific time intervals and specific sleep stages are very important for the wake up event. It is far more difficult to wake up during the deep NREM (2–4) stage of sleep because the rest of the body is still sleeping. On the other hand if we wake up during the mild (REM, NREM1) sleep stage it is a much more pleasant experience for us and for our bodies. This problem led the authors to undertake this study and develop a Windows Mobile-based device application called wakeNsmile. The wakeNsmile application records and monitors the sleep stages for specific amounts of time before a desired alarm time set by users. It uses a built-in microphone and determines the optimal time to wake the user up. Hence, if the user sets an alarm in wakeNsmile to 7:00 and wakeNsmile detects that a more appropriate time to wake up (REM stage) is at 6:50, the alarm will start at 6:50. The current availability and low price of mobile devices is yet another reason to use and develop such an application that will hopefully help someone to wakeNsmile in the morning. So far, the wakeNsmile application has been tested on four individuals introduced in the final section.

Architecture of Mobile and Desktop Stations for Noninvasive Continuous Blood Pressure Measurement

Many types of blood pressure measurement devices can be bought in electronics shops. All such devices are contact measurement devices which need to be in contact of human body. Secondary they allow only one measurement per several minutes interval (ones per 10 minutes). Our goal is to develop a small device for noninvasive continuous measurement of blood pressure. This device must be a small battery powered embedded system which measure a blood pressure during a long time period and send this information remotely to operator’s stations. In this station the analysis of receiving video signal is made for several types of usage. In current state we develop a small device to scan a video images throw the NIR CCD camera (Near Infra Red). The video signal is transferred by wireless connection to desktop station where it is analyzed. The first results provide an indication to be a right way to obtain exact continuous blood pressure information.

User Localization for Intelligent Crisis Management

The proliferation of mobile computing devices and local-area wireless networks has fostered a growing interest in location-aware systems and services. Additionally, the ability to let a mobile device determine its location in an indoor environment at a fine-grained level supports the creation of a new range of mobile control system applications. Main area of interest is in model of radio-frequency (RF) based system enhancement for locating and tracking users of control system inside buildings. The locating and tracking of users is useful for rescue people to find closer way in unknown building. The software can navigate these people through the unknown space to accident place. The experimental framework prototype uses a WiFi network infrastructure to let a mobile device determine its indoor position as well as to deliver IP connectivity. Experiments show that location determination can be realized with a room level granularity.

Database Prebuffering as a Way to Create a Mobile Control and Information System with Better Response Time

Location-aware services can benefit from indoor location tracking. The widespread adoption of Wi-Fi as the network infrastructure creates the opportunity of deploying WiFi-based location services with no additional hardware costs. Additionally, the ability to let a mobile device determine its location in an indoor environment supports the creation of a new range of mobile control system applications. Main area of interest is in a model of a radio-frequency based system enhancement for locating and tracking users of our control system inside the buildings. The developed framework as it is described here joins the concepts of location and user tracking as an extension for a new control system. The experimental framework prototype uses a WiFi network infrastructure to let a mobile device determine its indoor position. User location is used for data pre-buffering and pushing information from server to users PDA. All server data is saved as artifacts (together) with its position information in building.

A combined negative selection algorithm-particle swarm optimization for an email spam detection system

Abstract Email is a convenient means of communication throughout the entire world today. The increased popularity of email spam in both text and images requires a real-time protection mechanism for the media flow. The previous approach has been limited by the adaptive nature of unsolicited email spam. This research introduces an email detection system that is designed based on an improvement in the negative selection algorithm. Furthermore, particle swarm optimization (PSO) was implemented to improve the random detector generation in the negative selection algorithm (NSA). The algorithm generates detectors in the random detector generation phase of the negative selection algorithm. The combined NSA–PSO uses a local outlier factor (LOF) as the fitness function for the detector generation. The detector generation process is terminated when the expected spam coverage is reached. A distance measure and a threshold value are employed to enhance the distinctiveness between the non-spam and spam detectors after the detector generation. The implementation and evaluation of the models are analyzed. The results show that the accuracy of the proposed NSA–PSO model is better than the accuracy of the standard NSA model. The proposed model with the best accuracy is further used to differentiate between spam and non-spam in a network that is developed based on a client–server network for spam detection.

Full Scale Software Support on Mobile Lightweight Devices by Utilization of All Types of Wireless Technologies

New kind of mobile lightweight devices can run full scale applications with same comfort as on desktop devices only with several limitations. One of them is insufficient transfer speed on wireless connectivity. Main area of interest is in a model of a radio-frequency based system enhancement for locating and tracking users of a mobile information system. The experimental framework prototype uses a wireless network infrastructure to let a mobile lightweight device determine its indoor or outdoor position. User location is used for data prebuffering and pushing information from server to user’s PDA. All server data is saved as artifacts along with its position information in building or larger area environment. The accessing of prebuffered data on mobile lightweight device can highly improve response time needed to view large multimedia data. This fact can help with design of new full scale applications for mobile lightweight devices.

Complex biomedical system with biotelemetric monitoring of life functions

The project deal with system development for data management and scheduling of personal sources in home care agencies. Development is buckthorn from analyses, over proposal, implementation and resulting testing application, thereby try cast over whole problems software engineering. System consists of the three main parts - PC application, mobile application and database server. All these parts are built on technology Microsoft .NET solution namely on performances .NET Framework 3.5 and MS SQL server 2008 express edition for PC application, .NET Compact Framework 3.5 and MS SQL server 3.5 Compact Edition whereon be created database server for mobile application. System works offline, whereas synchronization mobile arrangement with data in database is made only in agency by the help of technology USB, Bluetooth or WiFi. Software layer synchronization administration data is based on technologies ADO .NET and Linq. System will further develop and will base for advancement biomedical science research framework.