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Smart Village as an action system supporting people with special information and communication needs

100%

Tchórzewski J. , Marlęga R.

Studia Informatica : systems and information technology

2024

tom vol. 1 (30)

49--65

The paper presents selected results of theoretical research regarding the concept of a smart village as an intelligent operating system oriented to supporting people with special information and communication needs. Such a system is a developing system of socio-technical nature, which in its area enables the cooperation of its inhabitants as a local society. The presented idea of Smart Village is therefore based on the combination of modern tools and information and communication technologies to improve the quality of life and raise the standard of public services for citizens with much better use of resources and with less negative impact on the environment. It was pointed out that before proceeding with the design of the Smart Village as an intelligent operating system, it is important to identify the needs and capabilities of subsystems in a specific village and commune, and then, on this basis, design a model of an operating system supporting people with special information and communication needs as a hybrid system. The concept of Smart Village as a system of action is therefore very important for the development of rural areas, both because of new opportunities to create new jobs, as well as from the point of view of the quality of life and work in the countryside. More and more attention is paid to these problems, especially in terms of practical aid programs, but so far no one has defined a smart village system. For these reasons, this study is pioneering and awaited due to the need to develop a modeling method and possible subsequent implementation of the Smart Village system model in system practice.

Artificial neural networks as models neuronal electronic state offices

58%

Tchórzewski J. , Leszko K.

Information Systems in Management

2015

tom Vol. 4, No. 3

219--227

The paper presents selected results of research on learning design and artificial neural network (ANN) models paperless office as a state defined as a document repository. A review of selected issues on artificial neural network, and environments to support their generation and learning. In particular, attention was drawn to the new modeling capabilities leading to obtaining neural models of electronic systems. Artificial neural network is designed and taught her electronic office model based on the size of the input 11 and 9 variables, par 72 trainees on the actual size of government agencies for the year 2007. The model was obtained in MATLAB and Simulink and using the Neural Network Toolbox. Showing the possibilities of using the model to test sensitivities and simulation in Simulink.