Pavlo Bykovyy

Approaches of voltage divider development for metrology verification of ADC

It is presented the method of testing signal generation for ADCs integral nonlinearity identification in testing point using measurement converter based on multi-resistors voltage divider with averaging voltages of all resistors. It is proved that such converter is insensitive to resistances and systematic errors of own resistors. There is evaluated error of ADCs nonlinearity identification, which is caused by changing the curvature of ADCs conversion function in the neighborhood of testing point. Also it is proposed method of number of testing point incrementing - “basic” method, and it is proposed the methodology of development such methods of testing points generation, which provides more evenly distribution of testing points via the range in comparison with “basic” method.

Genetic Algorithm Implementation for Perimeter Security Systems CAD

This paper discusses the use of genetic algorithms (GA) in a perimeter security CAD system (PSCAD). In this paper we compare the performance of a PSCAD system that uses exhaustive search for optimization with one that uses a genetic algorithm.

Security network interface for alarm systems

Authors suggested the development of a specialized network interface for network of detectors that are part of alarm system. Providing a high level of network security against intruder is achieved using a large number of security elements and their dynamic change in on-line mode network operation. The proposed system uses traditional detectors; each is connected to the network through node based on a microcontroller. This allows connection of traditional detectors into two-wired network with common bus type and to reduce the number of wired lines without loss of system informative channels. An additional advantage is in powering sensors by a server via informational network channel.

Assessment of probabilistic parameters of alarm security detectors taking uncertain noise into account

A method for assessment detectors false alarm and fault was developed. It includes the assessments of noise intensity barriers and detectors vulnerability to them using fuzzy sets and their defuzzification. It allows considering different environmental influences that may cause improper functioning of the alarm systems.

Genetic algorithm implementation for distributed security systems optimization

This paper describes two algorithms for optimizing the design of distributed perimeter security systems. The first algorithm is a straightforward algorithm whose primary purpose is to help us formulate the problem formally. The second algorithm, is a genetic algorithm. Both algorithms were incorporated into a new module for our distributed security systems CAD software. Tests of the module show that it produced better solutions more quickly than any other algorithms that are known to us.

A Low-Cost Network Controller for Security Systems

This paper describes the design of a low-cost network controller that can be used to interface sensors to security systems. This controller can use either a two-wired network interface with reconfigurable structure or an open optical channel for data communication with the network server. This design reduces the cost of data communication channels between sensors and the controller.

Data communication crypto protocol for security systems sensor networks

This paper describes hardware implementations of crypto protocol elements for secured data communication in two wired networks of security system detectors. Those elements are basic to crypto protocol development for that type of network. In addition, hardware tools for the network controller and the network server that support this protocol were developed. These tools will allow us to test and debug the proposed security elements and the crypto protocol.

Criteria to estimate quality of methods selecting contour inflection points

Current study performs a comparison of the contour inflection point selection methods according to the following criteria: probability of the correct selection, probability of the incorrect selection and an error in the coordinate estimation based on the results of model tasks. Results of the interpolation and differential methods and the method based on wavelet analysis of the contour inflection point were analyzed and graphically illustrated. It is shown that for simple geometric shapes the interpolation method has low precision (it shifts the contour inflection points) while differential method has the best precision properties, however it selects redundant inflection points (it has a low noise resistance) and the method based on the wavelet analysis of the curvature function shows the best results under noisy conditions.

Structural statistic method identifying facial images by contour characteristic points

This study discusses structural static method of human face identification for computer recognition systems based on building an identification vector as a set of characteristic points representing significant facial features with reduced data. It allowed providing an accurate classification invariant to the scale, rotation and shear at low computing complexity.

Adaptive model of fermentation processes under uncertainty conditions

This study describes an adaptive model, which allows predicting industrial fermentation processes under uncertainty conditions. The model is based on a collection of deterministic differential thermal-controlled models. It predicts state variable dynamics under every controlling thermal profile as time series of random or fuzzy numbers, and adaptively refines parameters of their probability density or membership functions using experimental observations of the systems state.