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The following topics are discussed: human-system interactions; artificial intelligence; human-machine interaction; education and training; telemedicine and e-health; cyber security; and human-centered design.
For modern human system interaction, traditional methods based on keyboard and mouse use do not prove sufficient. Especially when thinking about the poor and ill-qualified citizens of the Information Society, we must try to find the easiest and most comfortable method for human system interaction. The optimal method for communication processes going from man to machine is (or should be) speech communication...
Toyota has been developing industrial robots since the 1980s. In recent years, man-machine cooperative robots that assist people s skills have gradually been put into practical use. Now, Toyota is further evolving a number of robot technologies born at production sites to develop Partner Robots that work in harmony with people. Toyota is specifically considering four development areas: (1) manufacturing...
This keynote paper discusses the problem of outdoor mobility of the visually impaired and reviews key assistive technologies aiding the blind in independent travel. Space perception abilities important for mobility of the visually impaired are discussed first and related definitions and basic concepts such as: cognitive mapping, wayfinding and navigation are explained. The main mobility barriers the...
The paper presents hardware implementation of the model of commonsense reasoning system based on a new formalism Fuzzy Default Logic (FDL) presented on HSI'09 Conference in Catania. The paper briefly recalls main definitions and algorithms of FDL technique in a form of software oriented procedures. There are presented basic building blocks used for implementation: fuzzy default rules, credible set...
In this paper, a problem of MIMO object identification expressed mathematically in terms of fuzzy relational equations is considered. The identification problem consists of extraction of an unknown relational matrix which can be translated as a set of fuzzy IF-THEN rules. In fuzzy relational calculus this type of the problem relates to inverse problem and requires resolution for the composite fuzzy...
The paper addresses the analysis of three methods for inverse kinematics of a 3-DOF medical parallel robot with R-P-S (Revolute-Prismatic-Spherical) joint structure using MATLAB/Simulink and dSpace platform. The three methods were implemented in MATLAB/Simulink and than exported to dSpace realtime development platform. A comparation between the times of these three methods has been studyed. The scope...
Abstract The enormous number of data stored in large, relational databases makes the exploring, querying and reporting processes difficult. The database queries executed on redundant, incoherent, and contextless data may cause erroneous results. The Semantic Web (SW) technology has been considered to solve the problem. In this paper we propose ControlSem - the semantic oriented system architecture...
Neural network based system is proposed as a tool supporting time series forecasting. Wavelets analysis is suggested for raw data preprocessing. The preprocessed data are fed into SOM neural networks for clustering. The system has been tested as a tool supporting stock market investment decisions and shows good prediction accuracy of the method. However effectiveness, measured by income from shares...
Mechatronic transmissions are used to transfer mechanical power between the mechatronic components of a system. Often, the positions of the components are giving angles between axes that can be made difficult with conventional gears. The paper gives a method for designing the transmission based on helical gears because they provide domains for the angles between the axes which can't be obtained with...
Biometric recognition refers to the automatic recognition of individuals based on their physiological or behavioral characteristics. This paper presents a new biometric identification technique based on heart sounds. It is a signal of benefits recognition by analyzing the basic characteristics of heart sound. For first heart sound signal s1, secondly heart sound signal s2, their characteristic parameters...
A new procedure for combined validation of learning models - developed for specifically uncertain data - is briefly described; it relies on a combination of resubstitution with the modified learn-and-test paradigm, called by us the queue validation. In the initial experiment the elaborated procedure was checked on doubtful (presumably distorted by creative accounting) data, related to small and medium...
For the complexities of production and the limitations and lacks of methods for cost estimation of customized productions, a method for cost estimation based on Case-Based Reasoning was put forward in the steel enterprises. The process flow of the steel productions was analyzed in order to determine every activity in manufacturing steel productions. The descriptive procedure for the cases and the...
Multi-agent system (MAS) is farther development of distributed artificial intelligence. Agent technology is an advanced control method. Now the human are faced with the problem of energy sources lack and environment worsened. Wind and solar energy will be promising renewable energy in century. But randomicity and complexity of climate make windsolar hybrid power generation system difficult to be controlled...
In an intelligent environment one important task is to observe and analyze person's daily activities. Through analyzing the corresponding time series sensor data the person's daily activity model should be build. To build such a model some problems have to be overcome: the sensor data count increase sharp with time and the distribution of the data is dynamically according the person's daily activities...
We are offering a method to improve classification performance of the k nearest neighbors algorithm when the neighborhood is large. Our method limits the number of considered neighbors from the training set by selecting only those samples which would be neighbors in the computed Voronoi diagram of the training set plus classified sample.
Non-homogenous systems arise from the need to incorporate a variety of disparate systems into a cohesive functioning whole and may comprise many crucial elements of an industrialized, modern society. As a result they must be constantly monitored to ensure efficient functioning and avoid expensive breakdowns. In particular, inter-connected computer-based systems must increasingly be aware of cyber...
The purpose of this article is to describe the performance related features of our tag recommending Web service. The service is one of several systems currently integrated with multiplexing recommender framework for Bibsonomy.org bookmarking portal. The framework was introduced during ECML PKDD Discovery Challenge 2009. Due to good balance between speed and quality of our recommendations we managed...
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