Exploring Image Processing and Image Restoration Techniques

Omarov, Batyrkhan Sultanovich,Altayeva, Aigerim Bakatkaliyevna,Cho, Young Im Korean Institute of Intelligent Systems 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.3

Because of the development of computers and high-technology applications, all devices that we use have become more intelligent. In recent years, security and surveillance systems have become more complicated as well. Before new technologies included video surveillance systems, security cameras were used only for recording events as they occurred, and a human had to analyze the recorded data. Nowadays, computers are used for video analytics, and video surveillance systems have become more autonomous and automated. The types of security cameras have also changed, and the market offers different kinds of cameras with integrated software. Even though there is a variety of hardware, their capabilities leave a lot to be desired. Therefore, this drawback is trying to compensate by dint of computer program solutions. Image processing is a very important part of video surveillance and security systems. Capturing an image exactly as it appears in the real world is difficult if not impossible. There is always noise to deal with. This is caused by the graininess of the emulsion, low resolution of the camera sensors, motion blur caused by movements and drag, focus problems, depth-of-field issues, or the imperfect nature of the camera lens. This paper reviews image processing, pattern recognition, and image digitization techniques, which will be useful in security services, to analyze bio-images, for image restoration, and for object classification.

Development of Fuzzy based Smart Building Energy and Comfort Management System

Bakhytzhan Omarov 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

Building energy management is a major topic of research and development, as well as, buildings constitute the substantial amount of energy consumption in the worldwide. Design of an automated controller for energy efficiency operation in the building is one of the main methods to reduce energy consumption by keeping comfort level for inhabitants. In this paper, we introduce an alternative way to save energy by using fuzzy logic based approach. Fuzzy logic has been widely used to simulate energy consumption model and to control heating, ventilation and humidifying devices. Simulation results illustrate the behavior relation of whole system and each control parameter.

Exploring Uncertainty of Delays of the Cloud-Based Web Services

Bakhytzhan Omarov 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

The paper studies the behavior of the Web Services deployed on the cloud, and investigates their performance and the instability of the underlying communication medium. Our result shows how these two factors affect the dependability of cloud-based Service Oriented Architectures (SOA). This study is based on our experiments with the Web Services which were deployed and run on Amazon. We deployed the same service on several Amazon locations and analyzed variations in the response time and the ratio between delays and standard deviation of the average values.

Applying of Audioanalytics for Determining Contingencies

Bakhytzhan Omarov 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

While video analysis has become a standard feature of many security cameras, built audioanalytics remains relatively rare, despite the presence of both the audio channels in the devices and the available computing power to process audio data. However, audioanalytics has certain advantages over video analytics: microphones and maintenance cost is significantly less expensive than cameras; when the system is in real-time audio data stream is substantially less in volume than the flow of data from the video cameras, which imposes more loyal to the bandwidth requirements of data transmission channel. Audioanalytics systems can be especially in demand for urban surveillance, where you can automatically start to broadcast live video on the police control from the place of explosion and fire. Audioanalytics technology can also be used in the study and recording of certain events. In this study, we consider methods to identify audio event recognition, create a surveillance model using audioanalyitics methods and identify audio events by experiments.

Machine Learning based Pattern Recognition and Classification Framework Development

Batyrkhan Omarov,Young Im Cho 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

In this paper we describe implementation of several step pattern recognition framework. Pattern recognition is the main aspect for different important areas such as video surveillance, biometrics, interactive game applications, human computer interaction and access control systems. These systems require fast real time detection and recognition with high recognition rate. In this paper we propose implementation of the pattern recognition system. In order to increase recognition rate of the system we apply image preprocessing and neural networks.

Exploring Image Processing and Image Restoration Techniques

Batyrkhan Sultanovich Omarov,Aigerim Bakatkaliyevna Altayev,Young Im Cho 한국지능시스템학회 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.3

Because of the development of computers and high-technology applications, all devices that we use have become more intelligent. In recent years, security and surveillance systems have become more complicated as well. Before new technologies included video surveillance systems, security cameras were used only for recording events as they occurred, and a human had to analyze the recorded data. Nowadays, computers are used for video analytics, and video surveillance systems have become more autonomous and automated. The types of security cameras have also changed, and the market offers different kinds of cameras with integrated software. Even though there is a variety of hardware, their capabilities leave a lot to be desired. Therefore, this drawback is trying to compensate by dint of computer program solutions. Image processing is a very important part of video surveillance and security systems. Capturing an image exactly as it appears in the real world is difficult if not impossible. There is always noise to deal with. This is caused by the graininess of the emulsion, low resolution of the camera sensors, motion blur caused by movements and drag, focus problems, depth-of-field issues, or the imperfect nature of the camera lens. This paper reviews image processing, pattern recognition, and image digitization techniques, which will be useful in security services, to analyze bio-images, for image restoration, and for object classification.

Machine Learning Approach to Identifying Depression Related Posts on Social Media

Sergazy Narynov,Daniyar Mukhtarkhanuly,Batyrkhan Omarov,Kanat Kozhakhmet,Bauyrzhan Omarov 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10

According to the latest who data published in 2017, the number of suicides in Kazakhstan was 4855, or 3.55% of the total number of deaths. The age-adjusted death rate is 27.74 per 100,000 population. Kazakhstan is ranked 4th in the world by this indicator. This article compares machine learning algorithms with and without a teacher to identify depressive content in social media posts, with a focus on hopelessness and psychological pain for semantic analysis as key causes of suicide. Suicide is not spontaneous, and preparation for suicide can last about a year, during which time a person will show signs of their condition in our case by posting depressive content on their social network profile. This algorithm helps in detecting depressive content that can cause suicide to help people find confident help from psychologists at the national center for suicide prevention in Kazakhstan. Having obtained the highest score for 95% of the f1 score for a random forest (training with a teacher) with the tf-idf vectorization model, we can conclude by saying that the K-means algorithm(training without a teacher) using tf-idf shows impressive results that are only 4% lower in f1 and accuracy.

Methodological Approaches to Estimation of Economic Growth and Sustainable Development: Kazakhstan's Experience

NURLANOVA, Nailya K.,OMAROV, Akedil K.,SATPAYEVA, Zaira T. Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.4

The study aims to analyze the theoretical background of the economic growth and sustainable development; systematization of scientists view on monitoring and economic and innovative evaluation, analysis and diagnosis of factors affecting these processes. Rating characteristics of the level of innovative resources development obtained based on the comparative analysis of Kazakhstan regions. Calculations were done based on official statistics during 2010 and 2015-2017. Based on obtained data there has been grading of the country regions and their ratings were determined by the level of development of innovative resources. This research identifies areas and mechanisms to ensure balanced sustainable development of the national economy. The findings suggest that sustainable development of the state is affected by the innovative activity of the regions, the sustainable development of which is ensured by innovative enterprises. Transition to the model of sustainable territorial development involves the formation of such conditions and the use of mechanisms under which the natural base of this development is not destroyed, the environment suitable for human existence is preserved and reproduced. The findings of this research support for pursuing a national policy of reducing regional imbalances, and promoting a more balanced and sustainable development of the whole country.

Intelligent Microclimate Control System Based on IoT

Altayeva, Aigerim Bakatkaliyevna,Omarov, Batyrkhan Sultanovich,Cho, Young Im Korean Institute of Intelligent Systems 2016 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.16 No.4

The present research paper is devoted to solving an urgent problem, i.e., the energy saving and energy efficiency of buildings. A rapid settlement method and experimental control of the energy conservation based on the specific characteristics of the thermal energy consumption for the heating and ventilation of the buildings, and as well as the rapid development of wireless sensor networks, can be used in a variety of monitoring parameters in our daily lives. Today's world has become quite advanced with smart appliances and devices such as laptops, tablets, TVs, and smartphones with various functions, and their use has increased significantly in our day-to-day lives. In this case, the most important role is played by a wireless sensor network with its development and use in heterogeneous areas and in several different contexts. The fields of home automation, process management, and health management systems make extensive use of wireless sensor networks. In this paper, we explore the main factors of the microclimate in an indoor environment. We control the temperature humidity, and other factors remotely using sensors and Internet-of-Things technologies.

Development of Multi-agent Systems With Distributed Solutions for Energy Problems

Aigerim Altayeva,Batyrkhan Omarov,Young Im Cho 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

In modern conditions, the functioning and management of electric power systems requires the creation of a computational model for large-scale schemes based on methods for estimating the state. Such schemes are not fully observable, data may be distorted, their synchronization is poor and, as a consequence, the adoption of incorrect decisions based on the calculation model. At present, the agent approach is not applied to the development of systems aimed at solving problems in the field of electric power industry and assessing the states of electric power systems in particular. The proposed approach to the development of multi-agent systems should enable the interaction of agents created on different software platforms, create new ones and edit existing algorithms in the system through agent scenarios. An approach to creating multi-agent systems for estimating the states of electric power systems with the possibility of cross-platform interactions and agent scenarios is developed. The proposed approach was tested on a test system, and at the moment a system is being developed for assessing the state of electric power systems.