2021

Постійне посилання на фонд

https://ela.kpi.ua/handle/123456789/54640

Переглянути

Перегляд 2021 за Автор "Sergiyenko, Anatoliy"

Зараз показуємо 1 - 3 з 3
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    GIF image hardware compressors
    (National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 2021) Mozghovyi, Ivan; Sergiyenko, Anatoliy; Yershov, Roman
    Increasing requirements for data transfer and storage is one of the crucial questions now. There are several ways of high-speed data transmission, but they meet limited requirements applied to their narrowly focused specific target. The data compression approach gives the solution to the problems of high-speed transfer and low-volume data storage. This paper is devoted to the compression of GIF images, using a modified LZW algorithm with a tree-based dictionary. It has led to a decrease in lookup time and an increase in the speed of data compression, and in turn, allows developing the method of constructing a hardware compression accelerator during the future research.
  • Ескіз
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    Local feature extraction in images
    (National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 2021) Sergiyenko, Anatoliy; Serhiienko, Pavlo; Orlova, Mariia
    The methods of the local feature point extraction are analyzed. The analysis shows that the most effective detectors are based on the brightness gradient determination. They usually use the Harris angle detector, which is complex in calculations. The algorithm complexity minimization contradicts both the detector effectiveness and to the high dynamic range of the analyzed image. As a result, the high-speed methods could not recognize the feature points in the heavy luminance conditions. The modification of the high dynamic range (HDR) image compression algorithm based on the Retinex method is proposed. It contains an adaptive filter, which preserves the image edges. The filter is based on a set of feature detectors performing the Harris-Laplace transform which is much simpler than the Harris angle detector. A prototype of the HDR video camera is designed which provides sharp images. Its structure simplifies the design of the artificial intelligence engine, which is implemented in FPGA of medium or large size.
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    Microcontroller for the logic tasks
    (National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 2021) Sergiyenko, Anatoliy; Molchanov, Oleksii; Orlova, Maria
    A new SM16 microcontroller architecture is proposed which is intended for the logic-intensive applications in the field-programmable gate array (FPGA). The microcontroller has the stack architecture which provides the implementation of the most of instructions for a single clock cycle. The short but fast programs are derived due to the 16-bit instructions, which code up to three independent operations, and intensive use of the threaded code style. The framework is developed which compiles the program, simulates it, and translates to the ROM. The developed SM16 core with additional three-stack blocks, hash-table, and instructions that accelerate the execution of parsing operations is used for efficient XML-document processing and can be frequently reconfigured to the given document grammar set. The parsing speed equals to one byte per 24 clock cycles.