|
Overview of Seamless Mobility in Heterogeneous Wireless Networks |
|
Aray Meyrambaykizi Kassenkhan(KAZAKH NATIONAL TECHNICAL UNIVERSITY named after K. Satpaev, Kazakhstan), Raisa Kabievna Uskenbayeva(International University of Information Technologies, Kazakhstan) |
|
|
Construction of Recognition System at the Uranium Production Process |
|
Syrymbet Iskakov(International University of Information Technologies, Kazakhstan), Gulnara Umitkulovna Bektemyssova(International Information Technology University, Kazakhstan), Cho Young Im(University of Suwon, South Korea, Republic of Korea), Ravil Muhamediyev(Information Systems Management Institute, Latvia,, Latvia), Kuandykov Abu, Alim Khamitov(International Information Technology University, Kazakhstan) |
| Taught systems such as artificial neural network (ANN) can be used for data interpretation of electric logging. Using only the ANN algorithm gives the result of coincidence between interpretable data and experimental results in certain samplings from 66% to 73%. But using additional algorithms and comparing the results of recognition could enhance quality of recognition by 1-3%. The problem of building recognition system by ensemble of classification algorithms was formulated.
The paper describes used recognition algorithms, results of recognition and the process of construction of system. |
|
|
Multidimensional indexing structure development for the optimal formation of aggregated indicators in OLAP hypercube |
|
Nurzhan Kakenovich Mukazhanov, Raissa Kabievna Uskenbayeva(International Information Technology University, Kazakhstan), Young Im Cho(The University of Suwon, Republic of Korea), Gulnar Umitkulovna Bektemyssova(International Information Technology University, Kazakhstan), Dinara Khanatovna Kozhamzharova(Kazakh National Technical University named after K.I. Satpayev, Kazakhstan), Bikesh Kurmangalieva(International Information Technology University, Kazakhstan) |
| In this paper calculation and formation of aggregational values being the main elements of operative analysis of multidimensional data, in the form of hypercube and the development of effective correlation structure to the data during the process of the analytical analysis are considered. In the course of writing, basic concepts of multidimensional data model and internal structure are given. Measurements used for the implementation of hypercube and for the description of dimension elements the secuence of sets theory is applied. In the end of paper conclusion and literature are given. |
|
|
Main Principles of Task Distribution in Multi-Agent Systems and Defining the Basic Parameters |
|
Dinara Khanatovna Kozhamzharova(Kazakh National Technical University named after K.I. Satpayev, Kazakhstan), Raissa Kabievna Uskenbayeva, Abu Abykadyrovich Kuandykov(IITU, Kazakhstan), Young Im Cho(The University of Suwon, Republic of Korea), Olimzhon Abdukhakimovich Baimuratov(Suleyman Demirel University , Kazakhstan) |
| The article describes the main principles for the distribution and control of tasks in multi-agent systems. To reduce the execution time of tasks, we consider the principles of task allocation and determined that the basic parameters must be defined depending on the computing units and the number of actions needed to achieve the goal. By defining the parameters of computing capacity of each unit of our agents, it is possible to determine their degree of possibility of task execution. |
|