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Foreign Economic Strategy and Innovative Economic Development of Uzbekistan

In the concept of socio-economic development of Uzbekistan until 2030, a macroeconomic policy aimed at ensuring sustainable economic growth and fighting against poverty, as well as increasing the competitiveness of national exports is recognized as an important economic basis. Successful implementation of the Concept of integrated socio-economic development of the Republic of Uzbekistan until 2030, as well as  Development Strategy of New Uzbekistan for 2022-2026 undoubtedly, require significant attention to external factors of economic development, including  promotion of competitive exports. Today the issue of regulation of global socio-economic processes is one of the most important issues at the international level. The World Trade Organization (WTO), as a legal and institutional body of the multilateral trading system, is an international organization that enjoys differen advantages in the process of free goods exchange. At present, 164 countries are members of this organization, and the accession of Uzbekistan to the World Trade Organization (WTO) has caused a variety of observations among experts and scientists.

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Bakhtiyor Anvarovich Islamov mail -
Abduvali Abdurahimovich Isadjanov mail -
Asomiddin Soatovich Yusupov mail
link https://doi.org/10.54216/JSDGT.030201

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Interactive Design of a Virtual Classroom Simulation Model Based on Multimedia Applications to Improve the Teaching and Learning Process in the Tikrit University Environment

Iraqi higher education institutions use the virtual classroom platform to replace face-to-face teaching and online learning, and to overcome the challenges of traditional teaching. Therefore, this research aim was to use multimedia applications by using JavaScript programming to design a virtual classroom simulation model to improve the teaching and learning process in higher education. In same the context, virtual classrooms have emerged as an immersive alternative to face-to-face, hands-on classrooms. In addition, the possibility of using virtual classrooms opens new perspectives for Iraqi universities.  The method of this work was based on the interaction design (Design, Development, Testing, Analysis, and Evaluation). Thus, was selected Tikrit university as a case study for different levels of students at university colleges, to conduct a thorough evaluation of the virtual classroom platform based on the Multimedia Criteria in Conole’s Dimensions (12 criteria), which is considered as a general criteria evaluation for the proposed virtual classroom platform by experts’ review from different Iraqi universities. In addition to the students’ experience (first to the fourth year of the bachelor's degree) with the proposed virtual classroom platform from different colleges at Tikrit University.  It can be a virtual platform for all Iraqi universities in the future. Finally, the results show that many students (200) are satisfied with the features of learning in the proposed model, with high performance and effectiveness in the learning process. Moreover, the results showed also that there is a strong need for the virtual classroom to process the difficult practical aspects of the learning process.

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Qusay Abboodi Ali mail -
Noor M. Sahab mail
link https://doi.org/10.54216/FPA.120217

Volume & Issue

Vol. Volume 12 / Iss. Issue 2

Details open_in_new

Leveraging Digital Twins with Hybrid Deep Learning Model for Robust Intrusion Detection System in Smart City Environment

Cyber-physical systems (CPSs) unite the computation with physical methods. Embedded networks and computers observe and handle the physical procedures, generally with feedback encircles whereas physical procedures affect computation and conversely. In the last decade, the prompt growth of network-associated services has formed confidential information on the Internet. However, networks are much inclined to intrusions wherever unapproved consumers try to retrieve confidential data and even disturb the systems. Constructing a proficient network intrusion detection system (IDS) can be essential to avert these attacks. Utilizing digital twin technology enhances the IDS of physical devices in CPSs. IDSs normally utilize machine learning (ML) techniques for categorizing the attacks. However, the features employed for classifications are not appropriate or adequate all the time. Moreover, the amount of intrusions can be significantly lower than the amount of non-intrusions. Therefore, simple techniques may fail to deliver satisfactory performances owing to this class imbalance. In this study, we offer a Metaheuristic-Driven Hybrid Deep Learning Model for Robust Intrusion Detection in Secure Cyber-Physical Systems (MHDLM-RIDCPS) model in Smart City Environment. The proposed MHDLM-RIDCPS technique primarily targets the classification and recognition of intrusions using digital twin technology to enhance security within the CPS. Primarily, the proposed MHDLM-RIDCPS approach utilizes min-max normalization for transforming an input data into a standardized format. To alleviate dimensionality issues, the coyote optimization algorithm (COA) can be executed to select a subset of features. In addition, the modified prairie dog optimizer (mPDO) combined with a convolutional neural network and bi-directional long short-term memory with attention mechanism (AM-CNN+BiLSTM) classifier is exploited for the identification of intrusions. The design of the mPDO system primarily concentrates on the parameter optimizer of the AM-CNN+BiLSTM algorithm and so improves the classifier performances. To determine the greater efficiency of the MHDLM-RIDCPS system, a comprehensive set of simulations can be applied and the performances are tested over distinct aspects. The experimental analysis guaranteed the superior results of the MHDLM-RIDCPS methodology with existing methods

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Nouf Atiahallah Alghanmi mail
link https://doi.org/10.54216/FPA.190116

Volume & Issue

Vol. Volume 19 / Iss. Issue 1

Details open_in_new

On The Algebraic Properties of Symbolic n-Plithogenic Matrices For n=5, n=6

The main goal of this paper is to study the properties of symbolic 5-plithogenic matrices and symbolic 6-plithogenic matrices with real entries, where an algebraic view of their properties and relations will be presented and discussed. Also, we present many theorems that concern the computing of their eigenvalues and eigenvectors and their connection with classical ordinary matrices. Many related examples will be provided to clarify the validity of our work.

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Ahmed Hatip mail
link https://doi.org/10.54216/GJMSA.070101

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

On The Fusion of Neural Networks and Fuzzy Logic, Membership Functions and Weights

Fuzzy logic plays a huge role in the symbolic inference and causality associated with modern cognitive human systems. In this paper, we present a mathematical method that defines the mechanism of forming a hybrid structure in which neural networks and expert systems are connected so that one forms a primary processing stage for the other, where the neural network can act as a primary processor that processes low-level information, or as an internal Subsystem for learning tasks or generalization and classification. Where neural networks can be used to generate rules using training data and then submit these rules to be used by a fuzzy system to give the final results.

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Rama Asad Nadweh mail
link https://doi.org/10.54216/GJMSA.070102

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

On The Improving Of Routing Protocols In Ad-Hoc Network By Using Optimization Algorithms

In this paper, a novel improved method is presented to perform the local repair process of AntHocNet protocol. In the novel proposed method, in the case of failed connection, the node that checks the connection looks for the link that leads to node which follows the out-of-service node instead of the destination node. If it is existed, then the path will be repaired and completed quickly.

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Taher Ahmed Jubbori mail
link https://doi.org/10.54216/GJMSA.070103

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

On Neutrosophic Metric Spaces Generated By Classical Metrics

This paper is dedicated to study the concept of symbolic neutrosophic metric spaces and refined neutrosophic metric spaces (X(I),d) which are generated by classical metrics, where many elementary properties will be discussed in terms of theorems and examples. Also, we study the topological properties of neutrosophic open balls, closed balls, and their topological metric complements, with many related examples that clarify the validity of our work.

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Khadija Ben Othman mail -
Oliver Von Shtawzen mail -
Ahmad Khaldi mail -
Rozina Ali mail
link https://doi.org/10.54216/GJMSA.070104

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

Common Fixed Point Theorems ForWeakly Compatible Mappings In Complex Valued M− Fuzzy Metric Spaces

In this paper, we introduce the notion of complex valued M- fuzzy metric spaces. We are proving a common fixed point theorem for weakly compatible mappings satisfying common E.A. Like property in complex valued M- fuzzy metric space. Our results improve and extend the results of Singh et al.11

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M. Jeyaraman mail -
M. Pandiselvi mail
link https://doi.org/10.54216/JNFS.070103

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm

In this research, brain computer interface was designed to record brain signals and connecting it to labview via Bluetooth technology. Brain signals were acquired for 10 persons according to a specific protocol designed for the purpose of study then analyze those signals in order to form statistical data and study the changes of frequency and amplitude depending on the opening and closing of the eye. Accordingly a signal processing algorithm was developed to obtain the frequency and amplitude of the brain signal and compare those values during the opening and closing of the eye and determine the discrimination values. After the analysis and the classification steps, the algorithm was developed to send the command data to the Arduino chip and linked to the signal processing algorithm. As a result, the brain signal was marked at the blink and processed to execute a control command to trigger a relay and move an automatic arm or perform any action.  

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Barbara Charchekhandra mail
link https://doi.org/10.54216/PMTCS.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Align and fusion two thermal and visual images

Observation and detection in different environments and weather conditions requires the use of multiple imaging methods in different spectral fields (millimeter, IR, visual, ultraviolet), where the merging process collects useful information from each spectral field and presents it in a single image. Fusion requires scene matching (zoom, rotation, shift). This article forms a good basis for real-time video image alignment and fusion, with a special focus on pixel-level fusion. In this work, we applied the affine transformation to align two images with an accuracy of up to one pixel, and then we applied several images fusion algorithms based on summing, average, linear summation, or taking the maximum or minimum values of the pixel values, and the results of applying linear addition and values algorithms were The pixels are great compared to other methods.  

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Barbara Charchekhandra mail
link https://doi.org/10.54216/PMTCS.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new