Computer and Information Sciences

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Computer and Information Sciences

#43-comp IT Infrastructure Management of a Network of Multifunction Complexes of Roadside Service in ITSM Approach Application

Abstract: This study aims to examine the IT organization infrastructure management procedure for multifunctional complexes of the roadside services network based on the best practices of IT service management (ITSM). This IT Service Management relate to the management and implementation of quality information technology services. The multifunction roadside complexes [...] Load More network has a very complicated IT infrastructure comprising various components in a large number. In addition, the company is planning to utilize Outsourcing in IT vigorously. The business continuity plan significantly relies on the provided IT quality services and the reliability and availability of the IT infrastructure. Firstly, the issues that the multifunctional complexes of the roadside services confront are because of the lack of Proper IT infrastructure management and maintenance. The management processes system is developed using the ITSM most excellent practices and in conformity with the goals of the business and the IT role in the multifunctional complexes of the roadside services network. Several methodologies and techniques combination was used: The Information Technology Infrastructure Library (ITIL v. 3) — IT service management set of practices, COBIT 5 framework for information technology governance and management and the first international standard for the IT’s management-ISO/IEC 20000. Therefore, the suggested solution capacity to handle the identified issues and to alleviate the risk is justifiable.
Keywords: ITSM, IT infrastructure management, multifunctional complexes of roadside service, supplier management, ITIL, COBIT 5 and ISO/IEC 20000.
Date of publication: Summer 2023 / Deadline: 31 March 2023

Journal title: available for those who has paid.

Region of the journal publication: Europe.

Scientific field: Decision Sciences, Business, Management and Accounting, Computer Science.

Indexing of the journal: Scopus (Q2-3).

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#42-comp Solving the Problem of Financial Institutions by Integration of the Data Warehouses with Open and Big Data: Approaches and Problem

Abstract: This study considers the problem related to the information integration from the different sources for the complicated applications in problem-solving of the financial institutions. Different approaches are proposed in this paper for the data warehouse used to organize the information from the external sources, internet, state of automation system and [...] Load More open data etc. The importance of utilizing the financial institution’s structural beginnings shared meanings and redistribution made in the present state automation is emphasized. The systems of interdepartmental electronic interplay allow the financial institutions to get automatic information from the municipal agencies, and the state is the example of such a system. Another example is also presented an integrated system of authentication and identification offering a lawfully confirmed users authorization of automated systems. Notably, a society based on such systems builds few external to the financial organization to master the data management environment, which the financial organziations should efficiently use to acquire new capabilities automation and further to organize information in their data warehouses. The potential use of the financial organization, open data produced in the present times, different organizations in the initiative order and published different municipal agencies and states were discussed. This paper also examines the financial institution’s interactions and company services comprising the process approach to support, develop, and grow financial institutions automation.
Keywords: Big data, financial information, processing of financial information, open data, processing method, information object and data repository.
Date of publication: Spring 2023 / Deadline: 31 December 2022

Journal title: available for those who has paid.

Region of the journal publication: USA.

Scientific field: Computer Science.

Indexing of the journal: Scopus (Q4).

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#41-comp Information Technologies Classification

Abstract: Information technology is a set of processes, tools, and hardware offered for decision-makers in different activities and the ability to approach any required information. At the moment, there is no fixed IT classification, and in different disciplines, various technologies are studied. Simultaneously, to help navigate the types of information technologies, [...] Load More they need to be ordered similarly. This paper gives a multi-level classification of IT, on the basis of the strata allocation from the bottom-up tools, techniques and equipment to the work with the information depending on their degree of complexity- From the means of human communication with a computer, storage, collection, recovery, various ways of handling the information in the IT for the extraction of knowledge and the new information appearance as a result of the complicated methods. The information models to explain the proposed classification principles are used by the paper. In this paper, IT’s hierarchical framework is submitted within two levels: listing- a detailed one that comprises the second level technologies that are particular for every specific general technology branch and a common one that contains the entire spectre of the current IT.
Keywords: multi-level classification, information technology, human-computer communication, information processing method, information and the Strata.
Date of publication: Summer 2023 / Deadline: 31 March 2023

Journal title: available for those who has paid.

Region of the journal publication: Middle East.

Scientific field: Computer Science.

Indexing of the journal: Scopus (Q4).

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#40-comp Using a System-Object Approach for simulation Modeling

Abstract: This study examines the criticality of development and simulation of the methods and tools by converting the visual/graphical analytical organizational production, procedures and business models. Besides, the present paper explains the formality and fundamental concepts of the system-object techniques Unit-Function-Object (UFO approach) and system-object [...] Load More knowledge representation (SOMKR) techniques through Milner’s calculus processor, Abad Kardelij’s algebraic apparatus objects and Grenander’s pattern theory. The two method simulations utilizing the system-object approach which is Unit-Function-Object were introduced. The first process is to validate the graphical analytical system-object models of business procedure information with the help of the algebraic calculation object's method and for the second method, transformation of the visual system object models to elaborate them in the production processes simulation “CHI” language. The result proposes the feasibility and possibility of the simulation tool using the UFO approach, which is applied in the software tools new version (UFO-Toolkit) that automates the process, which is explained in the modelling of the article.
Keywords: system-object approach, “Unit-Function-Object”, production processes and simulation, calculus of objects, the language “CHI” (χ).
Date of publication: Summer 2023 / Deadline: 31 March 2023

Journal title: available for those who has paid.

Region of the journal publication: Europe.

Scientific field: Decision Sciences, Business, Management and Accounting, Computer Science.

Indexing of the journal: Scopus (Q2-3).

 

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#39-comp Scheduling of Modular Jobs Through Interval Balanced Multiprocessor

Abstract: This study examines the multiprocessor scheduling of modular jobs as taking into consideration needs for each time interval. In the first interval, a brief explanation of the just-in-time planning approach is explained. Secondly, the problem description of the examined scheduling difficulty is proposed. Finally, a mathematical example from organizing [...] Load More in house-building shows the empirical solving scheme and proposed problem. This scheme includes the following: 1)The main set of building blocks/details is clustered to obtain the 8 standard groups that meet the manufacturing transporter. 2) For building assembly initial plan generated. 3) Time intervals detection with the imbalance by fundamental building block detail. 4) The alteration of the plan is done with the help of the Multiple Choice Problem. Furthermore, a short description of the possible use of the proposed problem in the transmittal information is also given.
Keywords: combinatorial optimization, balanced clustering, multiprocessor scheduling, home-building, heuristics and time-interval balancing.
Date of publication: Summer 2023 / Deadline: 31 March 2023

Journal title: available for those who has paid.

Region of the journal publication: Middle East.

Scientific field: Computer Science.

Indexing of the journal: Scopus (Q4).

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#35-comp Scheduling an IEEE 802.11ax Infrastructure Works and Algorithm for Dynamic Power Control

Abstract: With the growing numbers of connected devices and wireless networks, the adverse effect of the interference becomes more striking. The compound usage of the transmissions of power control by different devices in the network and scheduling is one of the most promising ways to decrease the interference. When growing such solutions for the wireless networks [...] Load More that are working in the unlicensed spectrum, a crucial requirement is to consider the regulatory limits on the greatest transmit power and the limitation to transmit if the power of the noise and signal is identified in the exceeding channel for a particular regulated value. This study suggests an algorithm for improving the transmission power of the different situations and planning the transmissions considering the limits above. The algorithm allows discovering the optimal solution with a provided accuracy from the perspective of the chosen utility function.
Keywords: scheduling, transmission power control, channel sensitivity threshold, and IEEE 802.11ax.
Date of publication: Summer 2023 / Deadline: 31 March 2023

Journal title: available for those who has paid.

Region of the journal publication: Middle East.

Scientific field: Computer Science.

Indexing of the journal: Scopus (Q4).

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#34-comp Network Slicing Approach for Web Traffic and Video Mathematical Model

Abstract: This study examines the adaptive bitrate control algorithms which are utilized in the quality control of video streams from the cameras of video surveillance to the remote savers with the help of a live wireless network with web traffic and video. The bitrate control algorithm can select the suitable video bitrate considering the present state of the [...] Load More camera buffers. The paper has introduced a video streaming mathematical modelling that evaluates the various bitrate control algorithms. This article is dedicated to the mathematical model construction for transferring video streams from cameras to a server with the help of the different centralized wireless networks. The prototype allows the target quality indicators evaluation of the transmissible video stream for a certain class of the flexible algorithm for selecting the Bitrate. This paper indicates that the constructed model could be used to optimize such algorithms. The presentation is further integrated as follows; an outline of the work that explores the adaptive bitrate algorithm selection is provided; explain the operation of the considered video surveillance system is considered, and a mathematical model for the video segment transmission is constructed which is used to optimize a specific algorithm for choosing a bitrate.
Keywords: xStream, network slicing, video surveillance system, video traffic, and web traffic.
Date of publication: Summer 2023 / Deadline: 31 March 2023

Journal title: available for those who has paid.

Region of the journal publication: Middle East.

Scientific field: Computer Science.

Indexing of the journal: Scopus (Q4).

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#32-comp Early Warning System on Construction for Predictive Maintenance in the Industry of Aerospace

Abstract: In this study, the issue of predictive model construction for early warning systems for the indicative maintenance in the aerospace industry is examined. A recent methodology takes the technical system properties and particular requirements into account by imposing the applications which are proposed on the basis of the new approach that predicts unusual [...] Load More failures. Autoregressive type models for predicting the telemetry time series with the following correction of the prediction based on the regression of nuclear and implemented resulting model to find the irregularities in the sensor reading is considered by the authors. This paper discussed the Scheduled Maintenance (SM) problem for forecasting the time replacement of depleting the value of the control in the ventilation system in an aircraft. To build the models, these variables are used as characteristics produced by the help of data on particular types of events, such as certain types of breakdown in particular time points. They are based on the autoregressive models of the telemetry readings. In accordance with the linear support vector machine, the authors considered an approach to expecting the important elements of an aeroplane air bleedings system. Furthermore, the breakdown issue detection in a particular chemical process based on the standard timings of the profound modelling technique is examined.
Keywords: predictive maintenance, anomaly detection, failure prediction, signal processing, machine learning, monitoring system.
Date of publication: Summer 2023 / Deadline: 31 March 2023

Journal title: available for those who has paid.

Region of the journal publication: USA.

Scientific field: Computer Science.

Indexing of the journal: Scopus (Q4).

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#31-comp Determining the possibility of predicting the parameters of multi-component in organic compounds

Abstract: In this article, a model is proposed to predict inorganic compounds based on the “soft” vote of “clique” solvers and the development of algorithms for its implementation in the chemical problems application. This research is based on two kinds of clique methods known as “Fragment-Potential” and “Syndrome Analysis”, which we developed before in connection [...] Load More with the prognosis and diagnosis tasks in medicine. These methods were applied in a particular version of learning recognition when the decision regarding the predicted object is made in the direction of precedents similar in meaning. The implementation of these methods is done by voting solvers of various nature, formed in resolving the issues of learning to identify the predicted object by contrasting it with the training samples. The prediction of the suggested approach was illustrated by resolving the issue of predicting the crystal lattice parameters of unattained compounds. We considered compounds with a crystalline structure of melilite of several compositions.
Keywords: machine learning, melilite, clique methods, lattice parameters, syndrome analysis, parameters of inorganic compounds, fragment-potential.
Date of publication: Summer 2023 / Deadline: 31

Journal title: available for those who has paid.

Region of the journal publication: USA.

Scientific field: Computer Science.

Indexing of the journal: Scopus (Q4).

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#30-comp Using Neural Network to Analyze the Characteristic of Data Transmission Channel

Abstract: This article uses the concept of the sigma-pi neuron to explain a hybrid algorithm of neural network settings. The core of learning this algorithm is a combination of heuristic algorithms and random search algorithms. Here the authors have considered the heuristic algorithm control process on the basis of neural network oscillation. An integrated neural [...] Load More network training method through sigma-pi neurons allows the training for the time needed to fine-tune the neural network to solve problems. Furthermore, this article discusses the possibility of using the sigma-pi network to calculate the aspects of data transmission channel security based on the reflected signal-probing spectrum. Lastly, a wireline analyzing device was created to form the test sample and training network.
Keywords: sigma-pi neural network, fast Fourier transform, genetic algorithm, communication, heuristic algorithm neural network training
Date of publication: Summer 2023 / Deadline: 31 March 2023

Journal title: available for those who has paid.

Region of the journal publication: Middle East.

Scientific field: Computer Science.

Indexing of the journal: Scopus (Q4).

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