Wyniki wyszukiwania - BazTech

1

Social robot response to negative emotions as a PDDL planning problem in the presence of uncertainty

Probierz Eryka, Gałuszka Anita, Gałuszka Adam

Przegląd Elektrotechniczny

|

2023

|

R. 99, nr 8

33--37

EN

We propose to use automatic scheduling in the presence of uncertainty methodology to analyze the emotional state of a person and possible responses of a social robot. The emotions considered were: Sadness, Fear, Anger, Disgust and Contempt. The scenarios considered include modelling uncertainty in emotion detection. The result of the work is a set of two planning domains with illustrative examples. It was assumed that when negative emotions are detected, the robot should react in such a way as to reduce or not escalate them.

PL

Proponujemy wykorzystanie metodologii automatycznego planowania w obecności niepewności do analizy stanu emocjonalnego osoby i możliwych reakcji robota społecznego. Rozważane emocje to: Smutek, Strach, Złość, Obrzydzenie i Pogarda. Rozważane scenariusze obejmują modelowanie niepewności w detekcji emocji. Efektem pracy jest zestaw dwóch domen planistycznych wraz z ilustrującymi je przykładami. Założono, że w przypadku wykrycia negatywnych emocji robot powinien reagować w taki sposób, aby je zmniejszyć lub nie eskalować.

2

Prediction of Compressed Air Demand Depending on the Type of Production with the Use of Neural Networks

Kasprzyk Kamil, Gałuszka Adam

Advances in Science and Technology. Research Journal

|

2023

|

Vol. 17, no 3

154--159

EN

Compressed air systems are commonly used in industrial plants to produce the compressed air required for the facility's daily operations. Since air compressors consume more electricity than any other type of facility equipment, an optimization of the efficiency of compressed air system operation cycles is essential for energy savings. In this article the demand for compressed air in production plants with different operating characteristics is analyzed. It is checked how the neural network identified for a given plant would work in the case of another plant with a different needs while predicting compressed air demand, which is understood as a prediction of compressor on/offs. The simulation results based on real data indicate possible decisions that improves system efficiency.

3

Ontology Extraction from Software Requirements Using Named-Entity Recognition

Kocerka Jerzy, Krześlak Michał, Gałuszka Adam

Advances in Science and Technology. Research Journal

|

2022

|

Vol. 16, no 3

207--212

EN

With the software playing a key role in most of the modern, complex systems it is extremely important to create and keep the software requirements precise and non-ambiguous. One of the key elements to achieve such a goal is to define the terms used in a requirement in a precise way. The aim of this study is to verify if the commercially available tools for natural language processing (NLP) can be used to create an automated process to identify whether the term used in a requirement is linked with a proper definition. We found out, that with a relatively small effort it is possible to create a model that detects the domain specific terms in the software requirements with a precision of 87 %. Using such model it is possible to determine if the term is followed by a link to a definition.

4

Analysis of man-man-machine interaction in complex virtual environment in context of psychophysical state

Gałuszka Adam, Gałuszka Anita, Probierz Eryka, Bereska Damian

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2020

|

z. 144

59--70

EN

Purpose: The aim of the article is to propose the studies and analyses schema considering the psychophysical state of the simulator's users. Within the project a simulator and a virtual environment that allow a group of people (e.g. security guard officers) with real equipment such as cars to train different scenarios are built. The simulator users are interacting both with other colleagues and virtual surroundings. It implies that classical methods of so-called simulator sickness measurement should be adopted to the type of interaction that we call man-man-machine interaction. Design/methodology/approach: Simulator sickness that manifests itself in physiological ailments is considered in an interdisciplinary approach with particular emphasis on psychological aspects such as coping with stress, anxiety or cognitive and visual techniques related to the combined static and dynamic platforms. The main methods for the research are psychological Paper-and-Pencil surveys, eye-tracking technics, postural equilibrium tests, Poppelreuter test and Simulator Sickness Questionnaire. Findings: The result is studies and analyses schema related to the simulator users’ psychophysical state appearing in the project ‘Virtual Simulator of Actions of the Polish Government Protection Office’. Research limitations/implications: The research is limited to simulators specified in purpose section. Practical implications: It is anticipated that more accurate selection of individuals for security services will be possible through the use of the proposed research and diagnostic methods and analysis of the results obtained. Social implications: It is provided that more specific choice of people for security services will result in better training of the staff, an increase of the sense of security of the protected people as well as their quality of life. Originality/value: The novelty of the article is an interdisciplinary approach to the study of simulator sickness which takes into account physiological, psychological, social (group work) and technical (type of simulator) aspects.