Yelena Klyuyeva

@kstu.kz

Senior Lecturer, Information Technologies and Security Department
NON-PROFIT JOINT STOCK COMPANY «ABYLKAS SAGINOV KARAGANDA TECHNICAL UNIVERSITY»



           

https://researchid.co/klyueva.yelena

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Science, Information Systems, Software

4

Scopus Publications

Scopus Publications

  • Using Big Data Processing for Forming the Information Model of the Mining and Geological Area
    Utepbergenov Irbulat, Vladimir Yavorskiy, and Yelena Klyuyeva
    IEEE
    The article presents the results of the study in the field of information and analytical modeling of territorial objects. The raw data used in the study was obtained using unmanned aerial vehicles (UAV). Big Data technologies such as Apache Hadoop and Apache Spark were used for data storage and analysis. The Delaunay triangulation algorithm was used to construct the surface skeleton. Algorithm A* was implemented to find the shortest paths in the resulting graph.

  • Issues Of Developing Measures To Analyze Storage Medium For Educational Achievements Of Students
    Vladimir Yavorskiy, Dinara Kaibassova, and Yelena Klyuyeva
    IEEE
    The article presents the results of a research on improving systems of storage and analysis of student educational achievements at the university. The educational achievements are the results of work of students on disciplines within the syllabus framework. When designing the storage for these educational achievements, it is proposed to build an ontology of the subject area, the main classes and slots are highlighted. To analyze student works, it is proposed to use document clustering methods that allow identifying groups of semantically similar documents among the specified fixed set of documents automatically. The article describes the used metrics of spatial similarity.

  • Strengthening elements to increase fatigue strength of mine hoisting machine steel structures


  • Determination of the optimal shape of matrix elements partitioning on three abstract heterogeneous processors
    Ye.G Klyuyeva, V.V. Yavorskij, A.A. Adamov, and I.T. Utepbergenov
    Informa UK Limited
    Abstract The paper presents the results of a study done to find the optimal shapes of matrix element partitioning on three abstract heterogeneous processors when performing multiplication operations. An abstract processor model allows applying the research results in systems with different heterogeneous architectures. To determine the optimal partitioning shape, the work uses non-rectangular candidate shapes identified by Ashley DeFlumere in her work as a result of applying the technology of redistribution of matrix elements between the processors «push»: Square Corner, Rectangle Corner, Square Rectangle, Block Rectangle, L-Rectangle, Traditional 1D Rectangular. The optimality of shapes is determined for four classes of matrix multiplication algorithms: Serial Communication with Barrier (SCB), Parallel Communication with Barrier (PCB), Serial Communication with Bulk Overlap (SCO) and Parallel Communication with Overlap (PCO). The Hockney model was used to evaluate the communication complexity of algorithms. Mathematical models of the algorithm execution time were introduced in the paper for each considered candidate shape in all algorithms. Based on the developed mathematical models, software was developed that allows to select the form of elements partitioning between processors, depending on the ratio of their speeds and latency of the transmission medium.