Applying Face Recognition in Video Surveillance Security Systems

Omarov, Bauyrzhan; Omarov, Batyrkhan; Shekerbekova, Shirinkyz; Gusmanova, Farida; Oshanova, Nurzhamal; Sarbasova, Alua; Yessengaliyeva, Zhanna; Bedelbayev, Agyn; Maikhanova, Akmarzhan; Omarov, Nurzhan; Sultan, Daniyar

doi:10.1007/978-3-030-29852-4_22

Cited by 24 publications

(18 citation statements)

References 13 publications

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“…From where, taking into account (5) (8) To calculate the side c of the triangle С i B i D i , we will use the already known vertex angle B i and height p i : (9) After some transformations, equality (2) for calculating the spray width, taking into account the geometric parameters of a single-support sprayer, as well as the angle of transverse inclination of the frame, will finally be written in the form: (10) When setting the task of determining the necessary limits for changing the frontal spray angle β of the sprayer, we proceed from the premise of maintaining a constant processing strip width b i . Due to the insignificance of the transverse deviations of the horizontal projection of the sprayer when the rod is tilted in the transverse-vertical plane, we do not take these deviations into account in the calculations.…”

Section: Resultsmentioning

confidence: 99%

“…It is well known that one of the main factors contributing to a decrease in the quality of spraying is vibrations of the boom in the transverse-vertical plane. The works of A. Omarov [10], A. Bayat [12], V. Chentsov [13] and others rightly note the possibility of compensating for the negative influence of vibrations by controlling the geometry of the spray plume. However, until now there have been no attempts to analytically substantiate the operating parameters of an adaptive working fluid distribution system.…”

Section: Discussionmentioning

confidence: 99%

“…Compensation for the effect of vertical vibrations of the sprayer boom on the uniformity of distribution of the drug is possible by using sprayers with a variable frontal angle of the spray pattern. For example, there is a known method of axial rotation of nozzles to change the frontal angle of the spray pattern [10]. However, the implementation of such a technical solution in design and operation conditions should be based on the application of the corresponding functional dependence.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the current spray angle of the nozzles of the adaptive distribution system of a single-support boom sprayer

Dembovskiy,

Rodimtsev

2024

E3S Web Conf.

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One of the unsolved problems of plant protection mechanization is the uneven distribution of pesticides due to vertical vibrations of the sprayer boom. At the same time, the variation of the treatment band with each sprayer can reach 38% or more. This issue is even more relevant for single-support wheelbarrow sprayers, which are used in breeding and primary seed production. This significantly affects the quality of the technological operation. A technical solution to this problem could be the use of sprayers with variable spray geometry. Such a solution requires an analytical substantiation of the dependence of the spray pattern angle on the position angle of the sprayer boom. The purpose of the proposed research is to develop a technique for optimizing the spray angle of sprayer nozzles, taking into account the vertical vibrations of the distribution rod. Geometric and mathematical modeling, theoretical analysis of qualitative and agrotechnical parameters of spraying, substantiation of the laws of the technological process of spraying based on the known laws of physics and classical mathematics, as well as a method of nomogramming functions of several variables were used as scientific methods. It has been established that the uniformity of the application of protective equipment is determined not only by the position of the rod in the vertical plane, but also by the value of the root spray angle, the height of the installation of the sprayer and its position relative to the center of oscillation of the rod. An analytical expression is derived that relates the current width of the processing strip from one sprayer to the specified factors. The dependence of the optimal spray angle on the angle of inclination of the sprayer boom is also proposed. A nomogram has been developed that takes into account permissible deviations in the uneven distribution of the working fluid during spraying. The optimization technique is new. It is applicable to the development of software for the sprayer control complex, which is equipped with an adaptive pesticide distribution system in changing conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of the current spray angle of the nozzles of the adaptive distribution system of a single-support boom sprayer

Dembovskiy,

Rodimtsev

2024

E3S Web Conf.

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“…Recognizing these challenges, this research paper explores the integration of machine learning (ML) techniques into the SDN architecture, specifically aimed at revolutionizing the load balancing processes [7]. Machine learning, with its capability to analyze vast datasets [8], identify patterns [9], and make predictive decisions [10], presents a promising solution to the intricate problem of dynamic load balancing. By applying ML algorithms, the research intends to enable SDN controllers to make real-time traffic routing decisions based on data-driven insights, thereby significantly improving resource allocation [11], reducing latency [12], and enhancing the user experience [13].…”

Section: Introductionmentioning

confidence: 99%

Development of an Intelligent Service Delivery System to Increase Efficiency of Software Defined Networks

Joldasbayev,

Sapakova,

Zhaksylyk

et al. 2023

IJACSA

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The burgeoning complexity in network management has garnered considerable attention, specifically focusing on Software-Defined Networking (SDN), a transformative technology that addresses limitations inherent in traditional network infrastructures. Despite its advantages, SDN is often susceptible to bottlenecks and excessive load issues, underscoring the necessity for more robust load balancing solutions. Previous research in this realm has predominantly concentrated on employing static or dynamic methodologies, encapsulating only a handful of parameters for traffic management, thereby limiting their effectiveness. This study introduces an innovative, intelligence-led approach to service delivery systems in SDN, specifically by orchestrating packet forwarding-encompassing both TCP and UDP traffic-through a multi-faceted analysis utilizing twelve distinct parameters elaborated in subsequent sections. This research leverages advanced machine learning algorithms, notably K-Means and DBSCAN clustering, to discern patterns and optimize traffic distribution, ensuring a more nuanced, responsive load balancing mechanism. A salient feature of this methodology involves determining the ideal number of operational clusters to enhance efficiency systematically. The proposed system underwent rigorous testing with an escalating scale of network packets, encompassing counts of 5,000 to an extensive 10,000,000, to validate performance under varying load conditions. Comparative analysis between K-Means and DBSCAN's results reveals critical insights into their operational efficacy, corroborated by juxtaposition with extant scholarly perspectives. This investigation's findings significantly contribute to the discourse on adaptive network solutions, demonstrating that an intelligent, parameter-rich approach can substantively mitigate load-related challenges, thereby revolutionizing service delivery paradigms within Software-Defined Networks.

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“…However, even though violence detection systems in video surveillance are developing, the performance problem remains open [5][6][7]. Usually, video processing requires high-performance computers, and in many cases, it is impossible to get a quick response [8]. This refers to preventing the use of video violence detection methods for real-world applications.…”

Section: Introductionmentioning

confidence: 99%

A Skeleton-based Approach for Campus Violence Detection

Omarov¹,

Narynov²,

Zhumanov³

et al. 2022

Computers, Materials &Amp; Continua

Self Cite

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In this paper, we propose a skeleton-based method to identify violence and aggressive behavior. The approach does not necessitate highprocessing equipment and it can be quickly implemented. Our approach consists of two phases: feature extraction from image sequences to assess a human posture, followed by activity classification applying a neural network to identify whether the frames include aggressive situations and violence. A video violence dataset of 400 min comprising a single person's activities and 20 h of video data including physical violence and aggressive acts, and 13 classifications for distinguishing aggressor and victim behavior were generated. Finally, the proposed method was trained and tested using the collected dataset. The results indicate the accuracy of 97% was achieved in identifying aggressive conduct in video sequences. Furthermore, the obtained results show that the proposed method can detect aggressive behavior and violence in a short period of time and is accessible for real-world applications.

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Applying Face Recognition in Video Surveillance Security Systems

Cited by 24 publications

References 13 publications

Optimization of the current spray angle of the nozzles of the adaptive distribution system of a single-support boom sprayer

Optimization of the current spray angle of the nozzles of the adaptive distribution system of a single-support boom sprayer

Development of an Intelligent Service Delivery System to Increase Efficiency of Software Defined Networks

A Skeleton-based Approach for Campus Violence Detection

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