Journal of Applied Computer Science

Stały URI zbioruhttp://hdl.handle.net/11652/3824

Journal of Applied Computer Science publishes original papers concerned with theory and practice of computer science and innovative computer technology as well as their application in engineering, biomedicine, ecology, socioeconomics and education.

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Filtry

2016 - 202039

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Data rozpoczęcia: 2016Data zakończenia: 2020

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Teraz wyświetlane 1 - 10 z 39
  • Pozycja
    Loading Initial Data into the Quantum Register
    (Wydawnictwo Politechniki Łódzkiej, 2020) Ostrowski, Marcin
    In this paper, we examine a simple algorithm for loading initial data into the quantum register. In order to perform the algorithm standard two input gates are used. The algorithm is tested for the Gaussian and sine wave states. In the Appendix full PyQuil code of the algorithm is attached.
  • Pozycja
    Error Reduction for Static Localization
    (Wydawnictwo Politechniki Łódzkiej, 2020) Morawska, Barbara; Lichy, Krzysztof; Koch, Piotr; Niedźwiedzki, Jakub; Leplawy, Marcin; Lipiński, Piotr
    This article describes methods for reducing the position measure-ment error of ultra-wideband localization system - DecaWave TREK1000. The static localization accuracy of this system can achieve 10cm. The local-ization algorithm introduced in this paper can improve it up to 1 centimeter. We could achieve such good accuracy, thanks to experiments that were car-ried out in various environmental conditions. This allowed us to identify the nature of the measurement error and design the correct set of filters.
  • Pozycja
    Black-Gray-White Barcode Based on Error Correction Data Encoding
    (Wydawnictwo Politechniki Łódzkiej, 2019) Dychka, Ivan; Sulema, Olga
    The paper presents an approach based on using barcodes with three color gradations (white, gray, and black) instead of traditional black and white barcodes. Such three-color barcodes can be produced and read by using the same equipment as usual black and white barcodes, but due to the third color they have a higher information density.It is shown in the paper that in order to ensure high reliability and accuracy of barcoded information reading, it is necessary to encode the data with a Reed-Solomon correction code which is capable of correcting multiple errors.The method of data encoding and decoding in the Galois field GF(3m), where m is the degree of an irreducible polynomial, is proposed. The noise immunity of the black-gray-white barcode capable of multiple errors correction based on Reed-Solomon code is analyzed and discussed as well.
  • Pozycja
    Classification of Objects in a Point Cloud using Neural Networks
    (Wydawnictwo Politechniki Łódzkiej, 2019) Daszuta, Marcin; Napieralska-Juszczak, Ewa
    3-dimensional scans captured in shape of point clouds are widely used in many dierent areas. Every such area use dierent kinds of sensors to ac-quire point clouds and do the analysis of the data but each of those needs some preanalysis to be done. One of the most important is segmentation and classification of points into types of objects. Such information considerably widens possibilities of usage for further purposes. There are many classifiers and many features based on which labeling can be done. In this paper few most commonly used approaches were chosen to check the influence of neighboring points acquisition on classification process. Results proof significant relation between those two steps of point cloud analysis. Visualization of analyzed point cloud also shown that precision of predictions not always comes with better visibility of certain types of objects. Additionally, color-less analysis of geometrical features seems to be promising way for further research.
  • Pozycja
    Modelling Heat Flow in a Heat Storage System with the Use of the Finite Volume Method
    (Wydawnictwo Politechniki Łódzkiej, 2019) Sobieski, Wojciech
    Non-stationary heat flow was analysed in a heat storage system comprising a flat multilayer structure with different parameters and thickness. Concrete was the heat storage material, and water was the transfer medium responsible for supplying and evacuating heat from the storage medium. It was assumed that the modelled heat storage system may be powered by a solar thermal collector. Data were collected over a period of 24 hours, and they were analysed separately for the heat accumulation phase and the heat recovery phase. Calculations were performed in a program developed by the author based on the Finite Volume Method (FVM). The main aim is to illustrate the basic features of the developed numerical code and to find effective methods for evaluating the applicability of the modelled structures for heat storage. Except that, in the paper the possibilities are discussed for the use of the source component of the diffusion equation to describe various phenomena of physical, chemical and biological nature. The present article was motivated by the observation that FVM is currently not applied in the process of designing heat storage systems.
  • Pozycja
    Linguistic Summaries of Graph Databases in Customer Relationship Management (CRM)
    (Wydawnictwo Politechniki Łódzkiej, 2019) Bartczak, Monika; Niewiadomski, Adam
    The paper concentrates on data models that differ from the traditional relational one by Codd (1970). In particular, we are interested in processing graph databases (graph datasets) without any pre-configured structure, in which graph nodes may represent different objects and graph edges – relations between them. In this approach, the linguistic summarization methods for graph datasets are introduced, and differences for these methods with respect to traditional relational approach are shown, commented and improved in comparison to the preceding proposition (Strobin, Niewiadomski, 2016). The novelty of the paper is mostly the new form for summaries: Multi-Subject linguistic summaries of graph databases, previously introduced for relational databases (Superson, 2018).
  • Pozycja
    Discretisation of Thermal Diffusion Equation in Multilayer Structures with Variable Material Parameters and Different Thicknesses
    (Wydawnictwo Politechniki Łódzkiej, 2018) Sobieski, Wojciech; Trykozko, Anna
    The paper presents details of discretisation of a thermal diffusion equation in one-dimensional space in terms of the Finite Volume Method. In the following sections, the method of space discretisation is discussed along with the approximation of a spatial derivative, matrix notation of a system of equations, special cases, approximation of three types of boundary conditions and derivative approximation over time. Much attention is also given to the issue of averaging material properties which can generally be different in adjacent cells.The study aims to analyse various multilayer structures for their suitability as heat storage. The launch of studies described in the paper has been driven by the lack of methods for effective heat storage, which is currently one of the key problems faced by the renewable energy industry.
  • Pozycja
    Pupil Detection Methods for Eye Tracking
    (Wydawnictwo Politechniki Łódzkiej, 2018) Rynkiewicz, Filip; Daszuta, Marcin; Napieralski, Piotr
    The theory that pupillary changes can reflect human psychophysical character was confirmed in several conducted studies. Authors of those studies have used devices called eye trackers in order to measure pupillary changes, blinking rate, eye movement patterns or even a gaze position. The main goal of those apparatuses is to locate the pupil on a given image using implemented pupil detection algorithms. In this paper the main focus will be set on several states of art pupil detection methods. All represent different approaches to performing the same tasks in difficult situations for ex.: low/high condition, low image resolutions or low contrast.
  • Pozycja
    Normalization Effects in Matching Pursuit Algorithm with Gabor Dictionaries
    (Wydawnictwo Politechniki Łódzkiej, 2018) Różański, Piotr T.
    The matching pursuit (MP) algorithm is a greedy method for signal decomposition used in video coding, data compression, and, particularly, analysis of EEG signals in various paradigms, including P300 and ER(D)S (motor imagery). An important issue for MP implementation is a correct treatment of normalization of atoms (functions) used in computations. Failing to account for normalization-related effects may affect both the numerical stability and the reliability of the algorithm. This paper describes these normalization effects, evaluates their impact on the algorithm’s performance, and describe the proper approach together with a ready-to-use implementation, available under a General Public Licence (GPL). Several performance optimizations used as a part of this implementation are also described.
  • Pozycja
    A Memory Model for Emotional Decision-Making Agent in a Game
    (Wydawnictwo Politechniki Łódzkiej, 2018) Rogalski, Jakub; Szajerman, Dominik
    Virtual characters are an important part of many modern computer games. This paper describes a graph-based memory system designed for artificial agents that also simulate simple emotions. The system was tested using virtual simulation environment and it showed many new and desirable AI behaviours. These behaviours include simple preferences, reactions based on bot’s opinion of a stimuli or improvement of bot’s ability to find objects to interact with.