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Публікація Access Control to Robotic Systems Based on Biometric: The Generalized Model and its Practical Implementation(INASS, 2023) Abu-Jassar Amer Tahseen; Attar Hani; Lyashenko, V.; Amer Ayman; Sotnik, S.; Solyman AhmedThe paper presents a generalized system's structural scheme and components for monitoring and controlling access to robotic systems based on biometric data for decision-making. Mathematical decision-making models for choosing the best alternative based on fuzzy sets are proposed. The fuzzy analytical hierarchy process determined weights of 6 criteria (for k1 criterion weighting factor is equal to 2.2; for k2 criterion – 1.8; for k3 criterion – 0.6; for k4 criterion – 0.6; for k5 criterion – 0.6; for k6 criterion – 0.2, that is, most weighty would be k1 – recognition accuracy) against which the best option was evaluated. Thus, during evaluation of alternative on six criteria it was obtained that t alternative X1 (face recognition in full-face), will have the key value of embership function of resulting fuzzy set alternatives with ideal value of integral criterion, equal to 0.53, and as result, implemented rational choice, taking into account given criteria. The difference is that we have introduced such criteria as anti-spoofing. The access control system for robotic systems works in real-time. It is implemented based on an algorithmic decision -making complex, which includes two-factor authentication to increase security: registration involves entering emp loyee data from the keyboard (password, login, surname, first name, position) and physiological uthentication (identification by face). Face detection is proposed to be implemented on several images: face, profile, face, and profile in the mask. A distinctive feature of our development is that often, a main requirement for "access control systems with facial identification" is the frontal location of the face relative to the camera; in our case, the image of the face at an angle was added.Публікація AI and multimedia: a synergy of color and image innovation(ТОВ «Друкарня Мадрид», 2024) Abu-Jassar Amer Tahseen; Al-Jamal Ehab ZuhairIn the digital age, artificial intelligence (AI) has become a pivotal force in enhancing multimedia technologies. This work explores the dynamic integration of AI with multimedia, focusing on advancements in color and image recognition technologies. Through the lens of recent research , we analyze how AI-driven techniques are revolutionizing the perception and interaction with multimedia content, enabling more intuitive and engaging user experiences.Публікація Artificial intelligence in multimedia: enhancing creativity and efficiency(ТОВ «Друкарня Мадрид», 2024) Abu-Jassar Amer Tahseen; Albattiri Anas; Ameerah OsamaArtificial Intelligence (AI) has emerged as a transformative force in the field of multimedia, revolutionizing content creation, analysis, and delivery across various industries. Through an analysis of the current state of AI in multimedia and its future prospects, this research paper aims to provide insights into the transformative potential of AI in shaping the future of multimedia content creation and consumption.Публікація Automated Monitoring and Visualization System in Production(2023) Lyashenko, V.; Abu-Jassar Amer Tahseen; Yevsieiev, V.; Maksymova, S.In the modern world cyber-physical production systems are increasingly used. They allow you to control the flow of the technological process in production in real time. But the use of such an approach is greatly complicated by the fact that the equipment of many enterprises is old and cannot support the necessary functions. This is primarily due to the lack of the necessary sensors, as well as the corresponding software. Since the complete replacement of production equipment is very expensive, the task is to create separate monitoring systems. They must be able to integrate into the necessary parts of the production process. And they should also be cheap. In this work, we propose to build a model of such a monitoring and visualization system. The main attention in the work is focused on the hardware implementation of the proposed system and the relationship of its individual elements.Публікація Binarization Methods in Multimedia Systems when Recognizing License Plates of Cars(IJAER, 2023) Abu-Jassar Amer Tahseen; Sotnik S.; Sinelnikova T.; Lyashenko V.This work is aimed at analyzing methods of binarization in multimedia systems when recognizing license plates of cars. In order to carry out binarization license plates, features of existing (LPC) were first analyzed. A review of most well -known classification of binarization methods was carried out, and on basis of analysis, classification was proposed, which will be divided into four general classes, which distinguishes our classification from known ones. A fallback class has also been added. As r esult, pros and cons of all binarization methods have been determined.Публікація Forecasting and Decision Making in the Context of COVID(IJAISR, 2023) Kuzomin, O.; Abu-Jassar Amer Tahseen; Lyashenko V.The results of a literature review on the topic forecasting and decision making in the context of COVID are presented. The aim of the paper is to analyze the statements and research results of various experts on COVID modeling and the implementation of a systems approach concept for the selection of a combination of models, hardware and software. Modification of modeling, prediction methods to control the emergence, development and elimination of the consequences of the "so-called pandemic" COVID. For the problem at hand a comprehensive solution of the COVID monitoring problem can be proposed which has a combination of different modeling techniques. We also provide specific data from the analysis based on wavelet coherence. These results are presented in the form of charts that help to understand some predictive estimates, be useful for future research , and confirm some data.Публікація Generalized Procedure for Determining the Collision-Free Trajectory for a Robotic Arm(IRAQI, 2023) Al-Sharo Yasser Mohammad; Abu-Jassar Amer Tahseen; Sotnik S.; Lyashenko V.Robotic systems play an important role in the development and modernization processes of production, facilitation of labor, and human life. The robotic manipulators are outstanding among such systems. Such robots can be used for various spheres of their application. In this case, there is the manipulator’s effective control problem in the working area, of which there may be various obstacles. Therefore, a procedure is required to find the optimal path for moving the robotic arm. To develop such a procedure, the literature was reviewed, and the structural diagram of the ontrol system of such a robot and its components was summarized. It proposed a mathematical formalization of the search for the optimal path to move the robot arm, an algorithm based on a modified method of navigation graphs, to realize the more natural movement of the robot arm. Experimental studies were conducted with different numbers of objects on the path of robot arm movement, which were combined into groups. The temporal results of this process are presented in a diagram.Публікація Neural Networks As A Tool For Pattern Recognition of Fasteners(Seventh Sense Research Group, 2021) Al-Sharo Yasser Mohammad; Abu-Jassar Amer Tahseen; Sotnik, S.; Lyashenko, V.The work is devoted to the study of pattern recognition features of industrial parts in individual fasteners' forms. The main types of neural network architectures and their features are considered. Neural networks are classified into separate categories for ease of perception and analysis. An approach to recognition of hardware products such as fasteners using neural network, which is implemented in Python using Keras machine learning library, is proposed. The main generators are described: for training data, testing, and validation. Codes fragments of corresponding programs for implementation of the proposed approach to pattern recognition of fasteners are presentedПублікація Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems(TEM Journal, 2021) Abu-Jassar Amer Tahseen; Al-Sharo Yasser Mohammad; Lyashenko, V.; Sotnik, S.Generalized formalization of recognition algorithm for specialized computer systems is presented in this paper. The structure features of image recognition methods, which have to be taken into account when developing classifiers for object recognition in specialized computer systems, are described. The fundamental types of images characteristics-features, which are used in various methods of image recognition, are discussed. Approaches to development of classifiers for recognizing robotization objects, which are implemented on basis of Haar classifiers, are discussed. The issues of using machine learning algorithm of adaptive gain AdaBoost for development of such classifiers are also considered. Utilities have been developed for implementation of classifiers for object recognition in specialized computer systems.Публікація The impact of adaptive streaming algorithms on user experience in multimedia applications(ТОВ «Друкарня Мадрид», 2024) Abu-Jassar Amer Tahseen; Khalaf Omar Jamal Aref HusseinAdaptive streaming algorithms are studied for multimedia application efficiency and user experience. Adaptive streaming adjusts to network circumstances in real time to increase video quality and eliminate buffering. This research examines how adaptive streaming technologies like DASH and HLS might improve viewers' experiences. Simulated network settings let us analyze bandwidth allotment. These simulations assess responsiveness and experience. We examined starting latency, buffering rate, and video quality in numerous circumstances to evaluate performance. According to this research, adaptive streaming algorithms increase video playback quality on unstable networks, even if t heir efficiency varies under severe conditions. Due to decreased rebuffering and faster network speed adaption, DASH increases QoE.