Jiri Koziorek

Testing of the voice communication in smart home care

This article is aimed to describe the method of testing the implementation of voice control over operating and technical functions of Smart Home Come. Custom control over operating and technical functions was implemented into a model of Smart Home that was equipped with KNX technology. A sociological survey focused on the needs of seniors has been carried out to justify the implementation of voice control into Smart Home Care. In the real environment of Smart Home Care, there are usually unwanted signals and additive noise that negatively affect the voice communication with the control system. This article describes the addition of a sophisticated system for filtering the additive background noise out of the voice communication with the control system. The additive noise significantly lowers the success of recognizing voice commands to control operating and technical functions of an intelligent building. Within the scope of the proposed application, a complex system based on fuzzy-neuron networks, specifically the ANFIS (Adaptive Neuro-Fuzzy Interference System) for adaptive suppression of unwanted background noises was created. The functionality of the designed system was evaluated both by subjective and by objective criteria (SSNR, DTW). Experimental results suggest that the studied system has the potential to refine the voice control of technical and operating functions of Smart Home Care even in a very noisy environment.

Development and testing of a visualization application software, implemented with wireless control system in smart home care

This article describes the development of a visualization application software used to control operational and technical functions in the Smart Home system or Smart Home Care system via the wireless xComfort control system. Graphic visualization of a home electrical control system gives the user unprecedented comfort when controlling home systems. The user is able to obtain the information necessary to optimise the management of operational and technical functions in the building as well as information about energy consumption. Selected definitions of requirements for the visualization system, online access via the Internet, control via USB interface, and control requirements executed via mobile phone are the reasons why these technical elements were selected. This article describes their mutual relations, functions and connections within the system. At the end of this article we propose a method to test the reliability of the created software application as well as the wireless xComfort system under different conditions which stimulate different implementation methods applicable to a real building/apartment unit. Measurement results can be used for the actual installation process and for optimal implementation of the active elements of the wireless system.

The Proposal Model of Energy Savings of Lighting Systems in the Smart Home Care

Abstract The optimal draft and quality construction of Smart Home Care must be based on detailed knowledge of older people needs. One of the basic assumptions is to have safe and stable control of operational and technical functions with an emphasis on energy savings in buildings. The article describes the proposal model of energy savings in lighting systems with artificial lighting, which is working in combination with daylight, for use in the Smart Home with Assistive Care.

The design of the voice communication in Smart Home Care

This article describes implementation of comfortable voice-control of building service-systems in a Smart Home Care in a real environment with additive noise. It describes the current condition of research on the voice-operated communication in the Smart Home and the design of a comfortable remote control of building service-systems by the xComfort wireless systems in an intelligent building. An LMS adaptive filter is used for elimination of undesired disturbances in the real environment of an intelligent house in voice communication with a wireless system for removal of additional disturbance from the voice signal.

Adaptive noise suppression in voice communication using a neuro-fuzzy inference system

This paper describes the implementation of a combination of techniques of the fuzzy system and artificial intelligence in the application area of non-linear suppression of noise and interference. The structure used is called ANFIS (Adaptive Neuro Fuzzy Inference System). This system finds practical use mainly in audio telephone (mobile) communication in a noisy environment (transport, production halls, sports matches, etc.). Within the experiments carried out, the authors created, based on the ANFIS structure, a comprehensive system for the adaptive suppression of unwanted background interference that occurs in audio communication and which degrades the audio signal. The system designed has been tested on real voice signals. Noise cancellation performance of the algorithms has been compared by means of SSNR (Segmental Signal to Noise Ratio) and DTW (Dynamic Time Warping). Also processing durations of the algorithms are determined for evaluating the possibility of real time implementation. The results imply that a system using ANFIS has better experimental results than conventional systems built on adaptive algorithms of the LMS (Least Mean Squares) and RLS (Recursive Least Squares) families.

An outline of Advanced Process Control and self tuning techniques on PLC background

Advanced Process Control techniques contain software packages for an advanced control based on mathematical methods. A self tuning function of regulators has become a standard function of distributed control systems.

Simulation of adaptive duty cycling in solar powered environmental monitoring systems

This paper discusses a simulator for energy management in wireless sensor platforms. The simulator presently focuses on environmentally powered monitoring systems and sensors described within this document. The Mathworks Simulink environment was used to construct the simulator and allows real meteorological data to be used for long term simulated operation under different energy management strategies. Three of these strategies are tested and presented here; one is dynamically controlled by a fuzzy rule based system which allows it to adapt to the environmental energy profile, while the other two are statically controlled for comparison. The static control strategies seek to minimize energy related failures or to maximize the number of stored measurements disregarding failures. Ultimately, the strategy which allows the simulated sensor platform to adapt its operational level to the energy available in the environment is superior. It produces a data set with the highest number of data points and a very low number of consecutive device failures. It performs better in both areas than either of the other static energy management strategies.

Using automated evaluation of efficiency for photovoltaic power plant

The paper deals with the methodology for assessing the production of solar photovoltaic power plant. Operational quality of a solar power is given to early detection of possible failures of individual components. This can be achieved only by constantly monitoring the status of the plant and their proper evaluation. It is described design of whole data acquisition system based on data mining and automatic detection of failures and follow-up evaluation of data. According to a number of newly installed plants, such as in the Czech Republic, it is a very topical issue. The proposed procedures are validated in operation and maintenance of solar power with the performance 350 kWp built in campus of VSB Technical University of Ostrava (also VSB-TUO).

Correlation Methods of OCR Algorithm for Traffic Sign Detection Implementable in Microcontrollers

This paper focuses on the correlation methods applicable for the recognition system of speed limit traffic signs and correlation methods comparison. The correlation method is one possible manner of the OCR algorithm (Optical Character Recognition) used to determine the degree of similarity between the input matrix and the defined pattern matrix. The presented correlation methods are verified using the proposed comparison algorithm, where the output data are evaluated by statistical methods of the exploratory statistic data analysis. The part of the recognition system for OCR algorithm proceeds is very time consuming and the limitation of microcontroller type depends on frequency instruction processing. High accuracy of the recognition system can be achieved by increasing the resolution of camera system, by segmentation methods of input image signal, correlation method type.

Implementation of fuzzy logic control based on PLC

A substantial portion of the literature on fuzzy control deals with the usage of fuzzy rules to implement PID type control and also fuzzy supervisory control. Fuzzy models have received significant attention from various fields of interest. Especially so called the Takagi-Sugeno-type fuzzy model which superbly describes a nonlinear system. In this paper we present implementation of universal fuzzy PS/PD function block implemented to the PLC Simatic S7 300/400. We also present implementation of universal function block of fuzzy expert system and PID regulator for PLC Simatic S7 300/400. Control system with implemented fuzzy expert system and PID regulator and control system with implemented PS/PD regulator with visualizations are designed.