Abstract: The use of digital microscopy allows diagnosis through automated quantitative and qualitative analysis of the digital images. Often to evaluate the samples, the first step is determining the number and location of cell nuclei. For this purpose, we have developed a GPGPU based data-parallel region growing algorithm that is equally as accurate as the already existing sequential versions, but its speed is two or three times faster (implementing in CUDA environment), but this algorithm is very sensitive to the appropriate setting of different parameters. Due to the large number of parameters and due to the big set of possible values setting those parameters manually is a quite hard task, so we have developed a genetic algorithm to optimize these values. Our evolution-based algorithm that is described in this paper was used to successfully determine a set of parameters that compared to the results with the previously known best set of parameters means a significantly improvement.
Keywords: biomedical image processing, nuclei detection, GPGPU, CUDA, genetic algorithm
Abstract: This paper deals with accelerating computer vision computations using a specialized multicore architecture. Computer vision is one of the fastest-evolving segments of computer science. Even though computer vision uses time-consuming methods, the processing can be accelerated using specialized multicore processor architectures. Single-core processors are a legacy, since they have reached their physical limits. The way to go is to use multicore architectures, which can be also used to accelerate computations in specialized areas such as computer vision. This paper describes a specialized multicore architecture that can be used to accelerate time-consuming calculations in the field of computer vision. The architecture proposed in this paper belongs to the Harvard architecture family.
Keywords: image; architecture; Harvard concept; Princeton concept; threshold; control unit; processing unit
Abstract: The multimodal interface for controlling functions of the complex modular robotic system, which can be deployed in difficult conditions as are rescue works, natural disasters, fires, decontamination purposes was designed. Such interface involves several fundamental technologies such as speech recognition, speech synthesis and dialogue management. To enable human operator to cooperate with designed robotic system, the sophisticated architecture was designed and described technologies were implemented. The automatic speech recognition system is introduced, which is based on Hidden Markov models and enables to control functions of the system using a set of voice commands. The text-to-speech system was prepared for producing feedback to the operator and dialogue manager technology was adopted, which makes it possible to perform the information exchange between operator and robotic system. The system proposed is enriched with acoustic event detection system, which consists of a set of five microphones integrated on the robotic vehicle, the post-processing unit and detection unit.
Keywords: service robots; speech technologies; speech recognition; speech synthesis; multimodal interface
Abstract: This paper deals with the data flow computing paradigm, with the characteristics of program execution control using a flow of data instead of a flow of instructions. Data flow computing represents an important alternative to the control flow computing paradigm, which is currently the mainstream computing paradigm represented by architectures mostly based on the Von Neumann principles, in which the flow of program execution is controlled by a flow of instructions. This paper also deals with the tile computing paradigm – a modern approach to designing multi-core microprocessors with components laid out in two-dimensional grids with various geometries of cores, memory elements and interconnection networks with architectures using both data flow and control flow program execution control. In this paper we introduce a data flow computer architecture designed at the Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Koąice, Slovakia, employing the principles of tile computing. Efficient data flow architectures applying a different approach to the control of program execution flow also demand a different operating memory design. As the part of our effort to build data flow computer architectures, we have designed an innovative memory architecture that fulfils the specific needs of data flow computer architectures. In the final section of the paper we describe the functions and operations possible with this kind of memory.
Keywords: tile computing; data flow computing; data driven architecture; data flow graph; operating memory
Abstract: The article presents a survey of research and main results achieved in the Laboratory of intelligent control systems of aircraft engines during its five years of existence at the Technical university of Koąice celebrating its 60th anniversary. The main areas of scientific interest and results are presented in the fields of innovative approaches in modeling, control and diagnostics of turbojet engines utilizing adaptive and intelligent algorithms. The researched methodologies have been tested and validated on the experimental engine small turbojet engine MPM-20 in laboratory conditions and selected results are presented in the article.
Keywords: turbojet engine; mathematical modeling; intelligent control; diagnostics; artificial intelligence
Abstract: Efficiency in the process of aircraft control is expressed as the adaptability of the control system to the changes in the physical properties of the object. As a criterion of efficiency there exists an indicator by which the rules of selecting the best ways of solving control problems are determined. The contribution is describing the method of analyzing, synthetizing the designed parameters of a robust controller for lateral control of aircraft utilizing assisting damping automated devices (ADAD). The design of the controller parameters was done using Matlab program with the demo version of the lateral control of a maneuvering aircraft and the synthesis of the suggested controller is based on applying the H and methods.
Keywords: robust controller; multiplicative uncertainty; singular values; assisting damping and automatic devices (ADAD)
Abstract: In this paper we focus on specific approaches to knowledge transformation within the educational domain. Our approaches can be briefly characterized as process-driven, because the core concepts are educational processes and semantic representations of them. In this paper we present two alternative ways of using process models for knowledge transfer in educational domain. First one is deductive approach, or top-down approach, where knowledge is captured from the very beginning and continuously upgraded with the repeated runs of educational processes. The second one is inductive approach, or bottom-up approach, where process logs are analyzed with the aim to derive useful knowledge patterns. We build on our experiences from more research and educational projects, where we have designed and developed information systems and services supporting these types of knowledge transformation.
Keywords: knowledge transformation; process model; ontology; process mining
Abstract: The main contribution of the paper is to propose a system for fast and easy measurement of car body parts to support their inspection. The proposed system is composed from a camera-projector (CP) subsystem and a multi-camera and active marker based tracking system (TS). During the reconstruction process „rotating” gray code pattern is projected onto the targeted surface which improves the robustness and accuracy of the measurement. Afterwards based on triangulation the 3D coordinates of surface points are estimated.
Keywords: 3D measurement; car-body; projector; point cloud; inspection
Abstract: Digital Image Correlation is a modern full-field optical method that is being used for measurement of 3D displacements and surface strains. The correlation systems using the high-speed digital cameras also allow perform dynamic measurements and vibration analysis. The paper deals with possibilities of using the high-speed correlation system Dantec Dynamics Q-450 for determination of modal parameters. Since, the correlation system does not have software tools for the evaluation of such type of measurement, the using of another post-processing application is necessary. The paper describes a conception and the basic functions of the software tool that is being developed for that purpose. The main attention of the paper is focused on Operational Modal Analysis.
Keywords: digital image correlation; Dantec Dynamics Q-450; operational modal analysis; Modan 3D
Abstract: The “Double Fuzzy Point” rule representation opens a new dimension for expressing changes of fuzziness in fuzzy rule-based systems. In the case of standard “Fuzzy Point” rule representations, it is difficult to describe fuzzy functions in which crisp observations are required to have fuzzy conclusions, or in which an increase in the fuzziness of observations leads to reduced fuzziness in conclusions. These problems are mainly due to a lack of information. A fuzzy point rule determines the connection between a pair of fuzzy sets taken from the domain and the range of the rule. Expressing the fuzzy function through a set of fuzzy points and fuzzy interpolation between pairs of those points, each fuzzy point can be considered as a node point with given location and fuzziness. In common, sparse rule-base definitions, these node points are usually disjunctive on the domain, defining only single antecedent-consequent fuzziness connections at the location of the fuzzy points. However, this kind of information is insufficient when the goal is to express changes in the fuzziness of a given location in the domain. One solution to this problem is the double fuzzy point rule representation concept. Double fuzzy points are pairs of fuzzy points which share the same reference locations, but have different fuzziness properties. The existence of two different fuzziness values in a single location within the domain creates new possibilities for introducing fuzzy interpolation methods capable of interpolating not only between locations, but between changes in local fuzziness values as well. The main goal of this paper is to discuss how two-step Fuzzy Rule Interpolation methods can be adapted to be able to handle the double fuzzy point concept. To this end, an approach referred to as the Generalized Double Fuzzy Point Methodology (GDFPM) is proposed.
Keywords: fuzzy rule interpolation; interpolation of the fuzziness; fuzzy function; double fuzzy point rule representation
Abstract: The development of technology and information technology offers new possibilities for detecting intra-abdominal pressure (IAP) in critically ill patients. Presently, non-invasive measuring through the monitoring of pressure in the bladder has begun to be promoted. Studies on monitoring pressure in the urinary tract point to a high level of correlation with pressure in the abdominal cavity. These measures are currently conducted in the majority of workplaces by manual measurement in specified time intervals. In this article the verification of a monitoring system for measuring IAP is described, which is part of a proposed system for automatisation of IAP detection.
Keywords: intra-abdominal pressure; measurement; sensors
Abstract: The aim of this paper is to investigate localization accuracy of ultra wideband (UWB) radar with a minimal antenna array taking in the account complexity of the real environment (extended and multiple targets, presence of wall or other obstacle in the line of sight, practical restrictions of antenna setting). Simulation-based results show how the localization accuracy depends on the radar range resolution, deployment of the radar antennas and the accuracy of ranges estimated between transmitting antenna-target-receiving antenna. As the output, the distributions of the average localization errors in the monitored area are obtained. Their correctness is demonstrated by processing of the signals acquired by two M-sequence UWB radars with different range resolution and coverage.
Keywords: localization accuracy; UWB radar; antenna setting; complex environment; TOA measurement
Abstract: In this paper we introduce some of the power systems’ control and operation problems. The management of the modern power system faces mainly optimization tasks. We show some single and multi objective optimization solutions, these are: Decision making; Optimization of the schedule of renewable sources; Energy storage problems; Optimization of the network structure; Definition of the right power mix in single and also multiobjective case, Regional energy trade. A large variety of applied technologies is described. In the industry the fast and robust methods are favored.
Keywords: power system; optimization problems; single and multi objective optimization