20 research outputs found
Typical engineer's tasks and technological changes in automation
W artykule zaprezentowano kilka aplikacji system贸w pomiarowych i system贸w sterowania, zrealizowanych w r贸偶nych technologiach. Zaprezentowane przyk艂ady pokazuj膮 typowe zadania in偶ynierskie oraz ilustruj膮 przemiany technologiczne, jakie dokona艂y si臋 w ci膮gu ostatnich kilkudziesi臋ciu lat.The paper presents several applications of the measuring systems and the control systems realised in various technologies. The examples presented show the typical engineering tasks and illustrate the technological changes made during several dozen last years
Signal Processing and Analysis of Pathological Speech Using Artificial Intelligence and Learning Systems Methods
In this paper, selected results are presented of research which is carried on for over a decade and covers valuation of chosen signal processing methods suitable to analyze and valuate pathological speech. This valuation is necessary during solving many medical diagnostics problems and when planning therapy and rehabilitation of certain types of diseases. All presented examples are used in clinical practice in the area of dentistry, dental surgery, otolaryngology and most of all, in phoniatrics and speech correction
Signal Processing and Analysis of Pathological Speech Using Artificial Intelligence and Learning Systems Methods
In this paper, selected results are presented of research which is carried on for over a decade and covers valuation of chosen signal processing methods suitable to analyze and valuate pathological speech. This valuation is necessary during solving many medical diagnostics problems and when planning therapy and rehabilitation of certain types of diseases. All presented examples are used in clinical practice in the area of dentistry, dental surgery, otolaryngology and most of all, in phoniatrics and speech correction
Specificity of analysis of biomedical signals using brainstem auditory evoked potentials as the example
Analiza proces贸w zachodz膮cych w 偶ywym organizmie z uwagi na jego w艂a艣ciwo艣ci odbiega od analizy technicznych uk艂ad贸w dynamicznych. R贸wnie偶 metody akwizycji i wst臋pnego przetwarzania sygna艂贸w biomedycznych (generowanych przez organizm) oraz ich przetwarzanie wymaga, aby sygna艂y te by艂y traktowane inaczej ni偶 sygna艂y zbierane z urz膮dze艅 technicznych. W pracy przedstawiono specyfik臋 przetwarzania i analizy sygna艂贸w biomedycznych na przyk艂adzie przebieg贸w s艂uchowych potencja艂贸w wywo艂anych pnia m贸zgu - ABR (Auditory Brainstem Response). S膮 one wyrazem aktywno艣ci elektrycznej nerwu s艂uchowego i dr贸g s艂uchowych w pniu m贸zgu, jaka powstaje na skutek stymulacji akustycznej. S艂uchowe potencja艂y wywo艂ane pnia m贸zgu stosowane s膮 w praktyce klinicznej przede wszystkim do obiektywnej oceny progu s艂yszenia oraz w diagnostyce r贸偶nicowej zaburze艅 s艂uchu.In view of its qualities analysis of processes occurring inside living organism is different from analysis of dynamical systems. Also signal acquisition and preprocessing methods used with biomedical signals (generated by organism) and their processing requires that they should be treated differently than signals gathered from technical devices. In this research specificity of processing and analysis of biomedical signals using Auditory Brainstem Responses (ABR) as the example is introduced. These responses are indicative of acoustic nerve and tracts electrical activity in brain stem, which came into being as the result of acoustic stimulation. Auditory Brainstem Responses are used in clinical practice mainly to objectively estimate hearing are used in clinical practice mainly to objectively estimate hearing threshold and in differential diagnosis of hearing disorders
ECG NOISE MODELLING IN TIME-FREQUENCY DOMAIN USING THE POLYNOMIAL EXTRAPOLATION
Abstract: The paper presents a new ECG-dedicated noise removal technique. The proposed algorithm makes use of the local bandwidth variability of cardiac electrical representation. Background activities of any origin (muscle, mains interference etc.) are measured in specified regions of the time-frequency plane. Outside of these regions, where normally the cardiac representation components are expected, we use the square polynomial extrapolation to estimate the noise level. The partially measured and partially calculated time-frequency representation of the noise is arithmetically subtracted from the noisy signal and the inverse time-frequency transform yields noise-free cardiac representation. The algorithm was tested with use of the CSE Database records with the addition of the MIT-BIH Database noise patterns
Measurement of the dynamics of an object in an automatic control system
Przedstawiony tekst opisuje wybrane sposoby pomiaru dynamiki obiektu. Przedstawiono klasyczne procedury wyznaczania parametr贸w uproszczonego modelu obiektu K眉pfm眉llera i Strejca oraz sposoby doboru optymalnych nastaw regulatora typu PID. Opisano wykorzystanie metody moment贸w do wyznaczania parametr贸w dla modelu Strejca. Przeprowadzono badania symulacyjne proponowanych metod. Badania te ukazuj膮, jak w spos贸b praktyczny zastosowa膰 proponowane modele opisu dynamiki obiektu.The paper describes the ways of creation of the dynamics model of objects used in automatic control systems. In a closed control system, a continuous controller of the PID type is applied. To obtain a stable automatic control system, the controller settings should be selected. These parameters depend on the object dynamics, the kind of disturbances occurring in the system and the quality criteria accepted. There was undertaken the problem of creation of simplified object dynamics descriptions used in investigations for closed automatic control systems. Analytical, graphical and simulation methods were proposed for determination of parameters in simplified systems. The investigations were performed in Matlab Simulink simulation programs. The selection of the dynamic parameters of objects was made for the K眉pfm眉ller model and the Strejc models (of the second, third and fourth order). The use of simulation methods will enable showing in a practical way, how to realize the object dynamics measurements. The investigations conducted confirmed the possibility of using the method proposed and, in particular, the method of the moments of the step response of the object for determination of simplified control object models. The simulation results obtained show how the solutions proposed may be applied in a practical way
A diagnostic module for building automation in the KNX system
W artykule przedstawiono uk艂ad do diagnostyki inteligentnych instalacji elektrycznych w systemie KNX. Zadaniem uk艂adu jest okre艣lenie stanu pracy instalacji za pomoc膮 zarejestrowanych w magistrali komunikacyjnej telegram贸w. Schemat uk艂adu pomiarowego s艂u偶膮cego do pomiaru telegram贸w transmisyjnych w systemie KNX przedstawiony jest na rys. 1. Przeprowadzone badania pozwoli艂y opracowa膰 komplementarny algorytm s艂u偶膮cy do pomiaru oraz szczeg贸艂owej analizy telegram贸w transmisyjnych. W efekcie ko艅cowym program generuje macierz o wymiarach [m, 8], gdzie m jest to liczba ramek w telegramie, kt贸ra jest uwarunkowana od d艂ugo艣ci s艂owa u偶ytecznego. Przeprowadzone badania pozwoli艂y stwierdzi膰 skuteczno艣膰 dzia艂ania algorytmu oraz efektywno艣膰 dzia艂ania programu oraz wypracowa膰 podstawy do zaprototypowania uniwersalnego urz膮dzenia s艂u偶膮cego do diagnostyki system贸w KNX.The paper presents a diagnostic system for intelligent electrical installations KNX. The purpose of the system is to determine the status of the installation by registered communication telegram. The schematic diagram of the measurement system used to measure the transmission of telegrams KNX is shown in Figure 1. Measuring and testing the transmission of telegrams KNX requires special measurement systems, responsive to rapidly changing signals with average values of amplitude. This is because recording in the telegram large number of bits. The study made it possible to develop a complementary algorithm for measurement and detailed analysis of the transmission of telegrams. As the final effect, the program generates a matrix of dimensions [m, 8], where m is the number of frames in the telegram, which is determined by the useful word length. The study enabled determining the effectiveness of the algorithm and the program as well as developing the basis for prototyping a universal device for the diagnosis of KNX
Cultural Aspects of Computer Networks in Tennis [Invited paper]
No abstract available