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Almaty, Kazakhstan

Kuandykov A.,IITU | Uskenbayeva R.,IITU | Cho Y.I.,Gachon University | Kozhamzharova D.,KazNTU | And 3 more authors.
Procedia Computer Science | Year: 2015

Locust invasion still remains danger to crops and vast unused fields in certain parts of the world. This problem is also relevant to Kazakhstan. Every year the government allocates 16 million USD to control locusts' population, and prevent damages that they cause after its intrusion. The aim of this paper is to define the concept of developing an anti-locust multi-agent territory protection system (ALMATPS), which consists of heterogeneous robots such as unmanned aerial vehicles (UAV), ground robots (GR) or unmanned ground vehicles (UGV) (there is no different between these two terms, both can be used). These heterogeneous robots collaborate with each to achieve the main goal using the agent based modeling (ABM). © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Kuandykov A.A.,IITU | Uskenbayeva R.K.,IITU | Cho Y.I.,Gachon University | Kozhamzharova D.K.,KazNTU | And 3 more authors.
Procedia Computer Science | Year: 2015

While developing the control system process in which robot performing various operations it is essential observance of many limitations. Currently, there are technological capabilities to take into account many factors in the estimating of the large amount of calculations associated with the existing of factors and constraints. It is known that there are many factors occur at random during the execution of operations. To solve the explicit and implicit factors it is necessary to improve the architecture of existing system. In this paper we analysis previously developed MAS, focusing on its architecture and its agents. As the result of analysis there found main indicators of MAS in terms of their structures, actions, parameters, type, number and purpose. Described the agent forming procedure, where it is carries out movements in a predetermined pattern. During the execution of tasks agent is in an environment, where it is meet different obstacles in form, type and level of complexity. Also we considered several obstacles avoidance algorithms. Presented architecture of the agents will be used in the multi-agent based pest control systems, which will be used in agriculture. © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Uskenbayeva R.K.,IITU | Kuandykov A.A.,IITU | Cho Y.I.,University of Suwon | Kozhamzharova D.K.,KazNTU | Baimuratov O.A.,SDU
International Conference on Control, Automation and Systems | Year: 2014

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. © 2014 Institute of Control, Robotics and Systems (ICROS).

Muhamedyev R.I.,International University | Giyenko A.D.,International University | Pyagai V.T.,International University | Bostanbekov K.,KazNTU
8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings | Year: 2014

Control of the status of the country's resources allows making reasonable decisions both in the field of state regulation, and for the benefit of sustainable and safe development of the territory. Construction of such system requires complex application of a number of modern concepts and information technologies (Cloud computing, Big Data, Data Mining, machine learning, etc.). The problem of constructing the resource monitoring system as parts of the following generation of e-government system is formulated.

Uskenbayeva R.,International University | Cho Y.I.,Gachon University | Bektemyssova G.,International University | Uskenbayeva Z.,KazNTU | And 2 more authors.
ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings | Year: 2015

In this article, proposes a model of data integration in which should be supported a unified view of heterogeneous data sources, management of integrity constraints, managing the execution of operations of data manipulation and query, reconciliation of data from different sources, the ability to extend and customize the new data sources. The proposed approach to integration is based on the recursive decomposition of data sources where each source data is divided sequentially into atomic data items, wherein for each level of the recursive nesting data and their descriptions are represented uniformly. Such model enables the integration of different data sources at any level by setting arbitrary links between elements of the scheme, integrity constraints and allowed operations. © 2015 Institute of Control, Robotics and Systems - ICROS.

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