Krzysztof Brzostowski

Supporting content, context and user awareness in future internet applications

We show how the applications utilizing a Future Internet architecture can benefit from its features like quality of service (QoS) provisioning and resources reservation.We demonstrate, how proposed applications address content, context and user awareness basing on the underlying Next Generation Network (NGN) infrastructure and how it can be used to host service-based applications.

ADAPTIVE DECISION SUPPORT SYSTEM FOR AUTOMATIC PHYSICAL EFFORT PLAN GENERATION: DATA-DRIVEN APPROACH

Mathematical models delivered using both expert knowledge and experimental data improve understanding of dynamic properties of the system under consideration. This is useful for different purposes, such as prediction, diagnosis, decision making, and system control. A data-driven approach has been found to be particularly useful in designing adaptive decision support systems. We demonstrate the usefulness of data-driven models in a custom application designed for sport training management. We have developed a system that makes use of expert knowledge together with measurement data (heart rate, electromyography, and acceleration) as well as environmental (Global Positioning System) in order to generate an optimal training plan. The system performs such tasks as modeling of the athletes cardiovascular system, estimation of the athletes parameters, and adaptation of the model to the athlete.

System analysis techniques in ehealth systems: a case study

In the paper problem of planning training protocol with taking into account limitations on the training intensity due to the health problems of the exerciser is considered. In the first part of the work short introduction to existing solutions in the area of eHealth applications is given. Next, architecture of the eHealth system to support exerciser training is discussed. The main functionalities of proposed system are pointed out and challenges are highlighted. The concept of context-awareness and personalization is stressed. At the end the problem of model based optimisation of the training protocol is formulated.

Service discovery in the SOA system

In the paper we present an ontology based service discovery in the SOA system. First we show an application of the following models: business motivation model (BMM) and business process model as well as information for an identification of the business services in a selected area of the university activities has been described. Then we show an importance of the conceptual specification of the services for their subsequent retrieval has been emphasized. Then we present the representation of these services in WSMO and ontology based service discovery with WSM Toolkit.

Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm

This paper presents preliminary studies on the problem of classification of different kinds of human arm motions based on EMG signals. Methods of change detection, classification, features extraction and selection are considered as an important elements of recognition process. Presented algorithms are part of module to visualise human arm movements. The aim of presented work is to develop system to support technical training of tennis player through visualisation of human arm motions and biofeedback.

Service Discovery Approach Based on Rough Sets for SOA Systems

In the chapter an approach to solve the problem of service matchmaking and discovery is discussed. By a service we mean a independent component which has specified inputs and outputs and some functional and non-functional features. In our approach to describe services ontologies are used. It helps us to include some semantics to the services. Process of service discovery is started when user’s request is translated into SLA contract. The problem of matchmaking and discovery can be defined as a problem of finding service which fulfil user’s requirements as much as possible. In this work we present a system of service discovery and then our contribution to this domain – rough set-based approach to solve considered problem. Some simple example which illustrates proposed approach is shown.

Wearable smart system for physical activity support

Wearable smart systems that measure and process a human vital sings have become important tool in eHealth, rehabilitation and recreation. This research was about to develop a system that aims to support recreational physical activity by delivering communication and computational services. The system architecture facilitates implementation of advanced data processing methods in the form of computational services and easily include additional services according to the user needs. An eHealth application was developed to demonstrate the system capabilities. The application makes use of expert’s knowledge together with measurement data in order to generate the optimal training plan. The system performs such tasks as: modelling of the sportsmen’s cardiovascular system, estimation of the sportsmen’s parameters, adaptation of the model to the sportsmen.

Different Approaches to Model Relationship Between EMG Signals and Force Moments in Human Skeletal Muscle. Analysis for Diagnosis of Neuronmuscular Disorders

In the paper five different models have been examined in order to test their ability to describe relationship between EMG and force moment generated by moving upper or lower limb. In system analysis point of view it can be utilised for diagnostic purpose i.e. conversing subjective methods using by physician to new one based on objective measured data.

A Pattern Recognition Algorithm Used in Knowledge-Based Adaptive Control System to Select Strategy

In the paper a pattern recognition algorithm in knowledge-based adaptive control system has been discussed. Presented approach based on classifiers, as it is shown, is a useful tool to control non-linear plant with uncertainties. In many cases it is not possible to propose control law. Instead of it experts knowledge may be used. The pattern recognition method which is utilized by controller to make a decision allows to manage the stored knowledge effectively. Moreover, the system based on presented methodology works faster which is desirable in Real Time System. The biomedical application has been discussed.

Development of Intelligent eHealth Systems in the Future Internet Architecture

One of the most important directions in the development of eHealth systems is their personalization. Body area networks with wireless sensors and portable access devices allow one to design applications for supporting people in their daily activities. On the other hand, they require substantial data analysis and processing which are inherent features of the medical domain. We describe few service-based applications utilizing a Future Internet architecture which supports QoS guarantees for the communication between their components and also show how they can benefit from its features such as quality of service (QoS) provisioning and resources reservation. We demonstrate how proposed applications address content, context and user awareness based on the underlying Next Generation Network (NGN) infrastructure and give examples of decision-making tasks performed by applications.