System Analysis Methodology Research Articles

Conditions for digital traceability of business processes of end-to-end customs control of imported goods

Subject. The article is devoted to digital traceability of business processes of end-to-end customs control of imported goods, implemented during the digital transformation of customs administration. Objectives. The study aims to determine conditions for digital traceability of business processes for end-to-end customs control over imported goods. Methods. The study rests on the methodology of systems analysis, which includes normative and scientific approaches to the exploration of the subject of research, methods of structural and comparative analysis. Results. I comprehensively analyzed the categories of "digital traceability" and "digital transformation", offered my own definition of digital traceability of business processes, determined conditions for its implementation in relation to business processes for the end-to-end customs control of imported goods. Systems analysis enabled to establish relationship between two system-forming elements and define digital traceability as an integral part of digital transformation, acting not only as a driver of its development, but also as a tool for monitoring the movement of goods and tracking the implementation of business processes during customs operations and customs control. The paper defines conditions for digital traceability aimed at improving the quality of services during the end-to-end customs control over imported goods. Conclusions. Fulfilling digital traceability conditions for business processes of end-to-end customs control is essential for its full-scale implementation during the digital transformation of customs administration, which determines the course towards customs services quality improvement.

Operational Noise Abatement Through Control of Climb Profile on Departure

This work introduces a noise abatement procedure for reducing aircraft community noise during departures based on the control of climb profiles via procedural level-offs. The proposed procedure consists of enforcing an altitude restriction along a departure path such that aircraft maintain level flight when overflying strategically selected regions. During this level segment, thrust demand is lower than during climbing flight, which results in lower engine noise. However, this effect must be balanced with the lower aircraft altitude in the level segment, which may reduce the distance between aircraft and observers. Thus, a systematic analysis methodology is needed to design an effective noise abatement procedure based on this technique, which has been developed and is presented in this paper. Modeling results show potential undertrack peak A-weighted noise level reductions of 2–4 decibels for both narrowbody and widebody aircraft in the level-off area depending on the level-off altitude and an associated increase of 1.5–6 decibels in the region where the climb is resumed. An example application of this procedure is demonstrated at Boston Logan Airport, with cumulative changes in noise impacts being assessed for one full day of operations. In this example application, fuel burn penalties are estimated at 37 pounds for a representative narrowbody operation and 142 pounds for a representative widebody operation.

CLOUD COMPUTING INFRASTRUCTURE DATA SECURITY: AN OPTIMIZED VIRTUALIZATION MODEL

The study suggests using an improved and robust virtualization model to apply an intelligent-based design to data security monitoring in a cloud computing infrastructure. The primary problem with cloud computing, the concurrently concerning malicious activity, makes this technology notable. When we discuss an architecture that allows for easy, on-demand network access to a shared pool of reconfigurable computing resources—such as servers, networks, storage, apps, and services—we are referring to cloud computing. This requires little administration work or communication between the service provider and customer to quickly deploy and discharge. A virtualized approach was created in this work to improve the monitoring of data security. Adopting the Structured System Analysis and Design Methodology, dataflow diagrams, use-case diagrams, sequence diagrams, and diagrams created with the Unified Modelling Language (UML) were utilized to accomplish the desired design. Robust repositories provided five hundred (500) datasets, of which thirty percent were used for training and seventy percent were used for testing. The number of adopted technologies, the number of adopted design tools, the number of adopted algorithms, and the number of tested records were all used as parameters to analyze and assess the performance of both systems. According to the performance review, the new system performed better than the old one, achieving an accuracy rate of 1.07% as opposed to the old system's 0.48% accuracy rate. The recently created model focused specifically on financial fraud and was intended to detect fake data in cloud computing infrastructure. Because financial frauds against property involve the illegal transfer of property ownership for an individual's personal use and benefit, this study could be helpful to corporate organizations, anti-corruption agencies, and researchers who have a keen interest in the subject matter. Additionally, the new system was further optimized with the use of deep neural networks and logistic regression techniques.

TRANSFORMING CLOUD COMPUTING DATA SECURITY WITH AN INNOVATIVE VIRTUALIZATION MODEL

This study presented an optimized approach to Data Security Monitoring in Cloud Computing Infrastructure via an Improved Robust Virtualization Model. Malicious activities have continued to become an alarming issue in cloud computing. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service-provider interaction. In this work, a new virtualization model for data security monitoring was developed. Structured System Analysis and Design Methodology was adopted and design was achieved with tools such as Dataflow Diagram, Use-Case Diagram, Unified Modelling Language (UML) Diagram, and Sequence Diagram. The study utilized Five Hundred (500) datasets from robust repositories, of which 30% was used for training, while 70% was used for testing. Parameters for analyzing and evaluating the results of both systems encompassed the number of adopted algorithms, the number of adopted technologies, the number of adopted design tools, and the number of tested records. From the performance evaluation, the new system showed better performance than the existing system as it achieved an accuracy rate of 1.07% as compared to the existing system which achieved an accuracy rate of 0.48%. The newly developed model was for fraudulent data detection in cloud computing infrastructure with a special emphasis on financial fraud. This is because; financial frauds are committed against property, involving the unlawful conversion of the ownership of the property to one's personal use and benefit. In addition, the new system was further optimized with a deep neural network and logistic regression technique. This study could be beneficial to anti-corruption agencies, corporate organizations, and researchers with keen interest in the study area.

ASSESSMENT OF THE FINANCIAL RESULT OF PUBLIC-PRIVATE PARTNERSHIP PROJECT IMPLEMENTATION USING THE EXAMPLE OF A CONCESSION AGREEMENT

The article is aimed at developing a methodological approach to improving the efficiency of assessing the financial results of implementing Ukrainian and European business projects. In this context, the object of study is a specific individual partnership and cooperation project. The research has established that one of the key informational aspects of such a partnership is the assessment and forecasting of the financial result. The goal of the research is to present the methodological approach to assessing financial performance for an individual project in the most detailed form possible. The article presents an approach based on modern simulation modelling methods, systems analysis methodology, and the method of composite seasonal indices. All modelling processes were conducted using MATLAB software. MATLAB is a high-level programming language and interactive environment for numerical computation, visualization, and programming. This program is widely used for modelling and data processing in fields such as engineering, scientific research, and mathematics. The research result is presented as an approach to the mathematical modelling of assessing the financial performance of partnership projects of Ukraine with representatives of EU business. It is necessary to emphasize that the presented research has limitations related to changes in Ukraine's hyperdynamic external environment provoked by war. Forecasts may vary depending on the development of military actions. Therefore, the prospects for further research should be directed towards improving the informational provision in the system of partnership and cooperation with EU countries to increase their own investment security.

Systematic analysis of geometric inaccuracy and its contributing factors in roboforming

Incremental sheet metal forming is a highly versatile die-less forming process for manufacturing complex sheet metal components. Robot-assisted incremental sheet forming, or roboforming, allows a wider range of tool motion, providing the capability to shape intricate components. This makes roboforming the most flexible variant of the incremental forming method. However, the serial arrangement of links and joints in a robotic manipulator results in low positional accuracy under forming loads due to insufficient structural stiffness. The stiffness of the machine frame and tool directly impacts the accuracy of the final formed profile. The impact of machine compliance on component shape in incremental sheet forming is substantial in roboforming. This work presents a methodology for systematic analysis of the factors contributing to the errors in the geometric shape of robot-based forming. Experimental and numerical methods are used to estimate the material springback, tool/tool holder deflections, and errors due to machine compliance. The CNC machine frame is relatively stiffer than the industrial robots, such that material springback is estimated based on the experimental trials on CNC for cone and variable wall angle cone profiles. Tool and tool holder deflections are estimated using finite element simulations. The analytical method using the Virtual Joint Model is used to model the joint stiffness, and consequently, the robot Cartesian stiffness is estimated to predict path deviation contributing to geometric shape errors. The proportional contribution of each factor in the overall deviation in the Roboforming is also quantified.

Study and Analysis of Methods and Techniques for Control-command Applications

After an introduction to systemic analysis and the OOPP (oriented objectives project planning) method, we present a systems analysis methodology based on the OOPP method applied to various modeling methods and techniques: we particularly cite Petri Nets (RdP), Logic Fuzzy and the UML object-oriented modeling language This methodology made it possible to describe the exchanges of information between the different components of a system and to define the different parameters involved in the constitution of the models.

Materialistic dialectics as an epistemological basis of a realistic approach to understanding and cognition of truth in various spheres of cognition, Including in criminal proceedings

In the article, using the methodology of system analysis, system-functional, system-structural and system-component aspects of the system approach, as well as the method of expert assessments of authoritative specialists professing a realistic approach to understanding and cognition of truth, materialistic dialectics is considered as a composite This part of the realistic theory of knowledge, the epistemological basis of a realistic approach to understanding and knowing the truth in various spheres of cognition, including in criminal proceedings. It is substantiated that one of the reasons for the unproductiveness of the endless discussion between supporters and opponents of the concept of objective truth in the Russian criminal process is that some modern participants in this discussion from both sides in their understanding of dialectical materialism as the epistemological basis of the realistic approach to understanding and knowing the truth stopped at the level of Soviet official philosophy, not taking into account that dialectical materialism is productively developing through philosophical comprehension within the framework of complex and systematic approaches of the achievements of various branches of the natural sciences and humanities covered by the concept of “cognitive sciences”, which contributes to a deeper understanding of the foundations, system-forming factors of the realistic approach to understanding and cognition of truth.

An Improved Online Genotype Registration System

The genotype registration system aids in the patient's understanding of his genotype's future trends and behavior, enabling management to make informed decisions. The purpose of the design is to provide rapid access to and retrieval of patient data from hospital data warehouses, hence reducing the amount of time lost on such data retrieval. The data mining tool was also made to find hidden patterns that support managerial decision- making. The analysis of the current system, which served as a blueprint for the design of the suggested system, was conducted using structured system analysis and design methodology. A data warehouse for patient information was created using the PHP programming language and mySQL, allowing for the retrieval of said information as needed.

Operational risk estimation using system analysis methodology

Financial risks are considered today as popular research topics due to the existing practical necessity for the use of their mathematical models, estimates of possible loss in many areas of human activities, forecasting, and respective managerial decisions in financial and other spheres where capital, obligations, stocks, bonds, and other activities are circulating successfully. Financial processes today exhibit sophisticated forms of evolution in time that require the application of sophisticated modeling, risk estimating, forecasting, and decision-making/support methods, techniques, and procedures. The system analysis approach is applied to solving such problems as a unique and universal research methodology. The financial risks, specifically the operational ones in the study considered, are classified as nonlinear and nonstationary processes that require appropriate methods for analysis and a rather sophisticated analytical description to estimate and forecast possible loss. The results of operational risk analysis are achieved in the form of systemic methodology, models constructed with statistical data, regression analysis, and Bayesian techniques, and estimated loss with the models. The models and system analysis approach proposed for analyzing financial processes are suitable for practical applications, provided the users have appropriate statistical data and expert estimates.

Synthesis of ISO 26262 and ISО 21448 methods to increase reliability of hazard analysis and risk assessment of intelligent driver assistance systems operation

Introduction (problem statement and relevance). Application of sensors to increase automation of vehicles is a growing global trend. However, as the number of these devices in vehicles increases, so does the number of risk factors caused by their application.The purpose of the study is to reduce the areas of unknown potentially dangerous situations of possible impact of these risks on a highly automated vehicle using a synthesis of the risk analysis methods.Methodology and research methods. This paper considers the system analysis methodologies set forth in GOST R ISO 26262, ISO 21448:2022.The scientific novelty is the interference of approaches to the analysis that are set forth in the standards.Practical significance. The results of application of the synthesized approach to risk analysis will form the basis of studies of the prospective intelligent driver assistance systems thus allowing the development of test programs for these systems within highly automated vehicles.

Design and Development of a Secure Website for Asaba Real Estate Industry

This research work borders on development of a secure functional website for Asaba real estate industry where potential buyers can visit and make their choice. Survey carried out using web research, study of documents and oral interview showed that all is not well with the way and manner real estate transaction is carried out in Asaba. The main objectives of this research work are to develop interactive website that can bring estate owners and customers together in real time without the stress of travelling to locate the property, thus saving time and cost and provide real time information on availability of property through proper advertisement. The methodology adopted for this research is Structural Systems Analysis and Design Methodology (SSADM). The system was also implemented using Object Oriented PHP and MYSQL. The new system developed brought effectiveness and efficiency to the process of selling, buying and renting houses in Asaba. This further increased transparency, accountability, customer satisfaction and effective data collection from Asaba real estate industry. Keywords: Website, Real Estate, Transparency, Methodology and Encryption.

Preservation and reproduction of cultural and historical memory in the complex of journalism functions

Addressing the phenomenon of cultural and historical memory in the context of journalism theory and professional practice is important for a number of reasons. In a theoretical sense, it is necessary to take into account the structural features of the phenomenon of cultural and historical memory and the dynamics of its development, changes and influence on the processes taking place in journalism under the influence of the formation of a new system of post-global world order. The question of the essential institutional features of journalism in the spaces of sovereign macroregions can be solved only in the search for supporting specific basic principles of the existence of the profession. One of these principles should be cultural and historical memory, which has a national origin and institutional and cultural forms of expression, to which, among others (no less, but no more important), journalism should be attributed. The methodology of system analysis is used as a fundamental principle in the work. In determining the functional structure, the approaches developed within the framework of structural and functional analysis are used. In determining the interdependence of the structure of a historical fact in journalism and the spaces of its realization, discourse analysis is used in its functional application in the form of a discursive framework. The inclusion of the issues of cultural and historical memory in the processes of professional journalistic education requires the approval of the principle of subjectivity of journalism, its institutional nature, which allows initiation and full participation in social changes. The preservation and reproduction of cultural and historical memory is present as an integral part of the complex of professional journalistic functions.The functional complex of journalism manifests itself at the strategic level as participation in the expansion of cultural space and self-determination as an active part of cultural national history. At the operational and tactical level, journalism performs the functions of socio-cultural integration, socialization and adaptation. The structural components of a historical fact in journalism (denotation, meaning and concepts) are revealed to varying degrees depending on the implementation spaces. The methodology of the spatial approach used in the study of journalism allows us to identify the natural, material, social, personal and mediated media levels of space. Denotation plays a dominant role on the natural, material and social levels, meaning plays a dominant role on the personal level, meaning plays a dominant role on the media space level, and concepts play a dominant role in audience feedback systems.

The sphere of State customs services as a service economic and management system: Conceptual ideas and research problems

Subject. The article considers the sphere of State customs services, presented as a service economic and management system. Objectives. The aim is to present conceptual provisions and reveal problematic areas of research in the sphere of State customs services as an economic system. Methods. The study rests on the methodology of systems analysis and a holistic evolutionary approach, using methods of critical, structural, and comparative analysis. Results. Based on the synthesis of economic and managerial approaches, an attempt is made to comprehend the representation of the sphere of State customs services as a sphere of economic production, where the main product of labor of customs officials is a managerial decision as a service. The sphere of customs services is considered as a holistic tiered economic and management system. The aspects characterizing the system, i.e. service (service–oriented, customer-focused, etc.), economic, managerial, organizational, organizational and economic, and others can be studied as specific systems in the context of a system-wide formulation of integrity issues. Conclusions. The synthesis of economic and managerial methodology in the form of organizational and economic approach enabled to formulate a range of urgent problems requiring development and being priority areas of scientific research within the framework of the specialty passport.

Model-based project management using artificial intelligence tools

Subject. The article addresses project management issues. Objectives. The aim is to reveal the main directions of development of the theory and practice of model-based project management, using artificial intelligence tools. Methods. The study rests on the methodology of systems analysis and process-oriented approach, employs methods of modeling and comparative analysis. Results. We define the current technology of decision-making to minimize risk, describe ideas of creating a decision support system with elements of artificial intelligence, present an experiment on implementing a model of operational monitoring of risk objects at the stage of documentary customs control. The paper identifies expedient priority organizational solutions in the customs risk management system, provides proposals on the structure of the customs risk service, describes the concept of hybrid intelligence, implemented on the basis of a neural network, to be integrated in the process of collective decision-making. We present artificial intelligence technologies used in the practice of project management, disclose their advantages and disadvantages. Conclusions. The decision-making process is described as a process of structuring the vision of strategic perspective by the head and/or experts, the formation and adaptation of knowledge to real conditions of customs construction, or as a process of project management. The paper introduces the concept and reveals the technology of collective work of experts (technology of expert-analytical modeling) during the formulation of problems and preparation of managerial, methodological, technological, and other solutions. Within the technology, a multi-valued logic of phased transformation of experts' vision into a new system of customs organization, with a step-by-step assessment of generated situational alternatives is built on the formed set of conditions.

Measuring Afrocentrism: A Review of Existing Instruments

Abstract Measurement of Afrocentrism and investigation of Afrocentricity’s significance in the lives of Black Americans has gained momentum, given the current evidence suggesting that cultural factors matter in the lives of diverse populations. In particular, factors associated with African philosophical constructs may have significant relationships with improved mental health and overall well-being among African and African diaspora populations. However, the prior conceptual literature suggests that Afrocentrism is a heterogenous concept with a multitude of domains associated with its measurement. The present study was envisioned given the relative absence of studies evaluating the availability and psychometric properties of Afrocentric measures within social work. Utilizing systematic analysis methodology and PRISMA guidelines, a search for Afrocentric measures was undertaken using four key databases. Spanning the literature between 1980 and 2021, this review identified a total of seven instruments that fully met the study’s inclusion-specific criteria. In accordance with the call for continued research and practice emphasizing resilience and protective factors within the lives of Black populations, the present study provides accessible knowledge to researchers and practitioners on the currently available instruments to evaluate Afrocentrism in the lives of populations of African descent.

Различия в инновационном поведении субъектов малого и крупного бизнеса

The authors of the article studied the specifics of innovative behavior of enterprises depending on their size. This specificity was determined in accordance with the following areas of the company’s activities: personnel policy, search for sources of financing, search for market niches, production of innovative products (determined by the nature of the innovations produced and the level of innovative mobility), search for partners and contractors, placement of financial responsibility centers. In preparing the article, a system analysis methodology was used, based on a set of theoretical and empirical research methods, the key of which is the case-study method, based on the results of content analysis, as well as expert interviews and a questionnaire survey. The analysis showed that the qualitative results of the activities of small and medium-sized innovative businesses often have a greater impact on the economic development of the region than large ones. The results obtained during the study have both scientific and practical significance. At the level of regional authorities, understanding the specifics of the innovative behavior of entrepreneurial firms is important from the point of view of determining measures of state support for innovatively active enterprises.

A method for extracting oil from a field with hard-to-recover reserves based on systems analysis methodology

A method for extracting oil from a field with hard-to-recover reserves based on systems analysis methodology

Development of a Software Package for Computing Psychometric Properties of Multiple Choice Tests Using Norm-Referenced Approach.

This work is on the development of a software package for computing the psychometric properties of multiple choice tests using norm-referenced approach. Focus was on item indices which are difficulty, discrimination and distracter indices. There are no easily affordable statistical packages in the Nigerian market for the computation of these indices. Most studies involving them have always been done manually due non-availability of affordable statistical software. Hence, the researcher was motivated to embark on this investigation. Three research questions were formulated to guide this study. Analysis of the existing system was done on BILOG-MG statistics. This study deployed the following methodologies: mathematical, structured systems analysis and design methodology (SSADM), the object-oriented analysis and design methodology (OOADM) and prototyping. The design for the study was instrumentation. The population for the study was 225 students which consisted of all the JS3 students of 2016/2017 session in Port Harcourt, Rivers State. The researcher made use of two instruments for the study. The first was the Rivers State Basic Education Certificate Examination (BECE), 2017 multiple choice questions in Mathematics. The second was a group of system software: HTML, PHP, JavaScript and MySQL. The responses of the students were used to test the effectiveness and efficiency of the software package developed in this study. Data analysis was done first with manual computation and second with the software package that was developed. The manual computation took the researcher 180 hours while the electronic computation with the developed software took only six hours to complete. The findings from the results of the study showed that the developed software was accurate in computing the difficulty, discrimination and distactor indices of the test items and it has a very high rate of accuracy. The study recommended that the developed software should be used to compute the difficulty, distractor and discrimination indices of multiple choice tests.

Приоритетные векторы региональной экономической интеграции в современном мироустройстве

. In the changing geopolitical reality, fragmentation of the economic space is taking place, and favorable opportunities are being created for the formation and strengthening of integration associations of states in different regions of the world. The subject of the study is the features of integration processes in transforming foreign economic conditions (using the example of the EAEU). The relevance of the study is due to the new geopolitical situation in the world, which exacerbates the need to find ways to improve international economic relations by intensifying the activities of interstate integration associations (unions) of friendly countries. The basis of the «core» of the new (integral) world economic order are China and India. Based on an analysis of the development of the situation on a global scale, a conclusion has been formulated about the emergence of new trends in international economic relations. The fact of the destruction of Russia’s economic ties with a number of developed Western countries, which were based on the interests of the largest business elites and had been functioning smoothly for several decades, has been established. The timeliness and progressiveness of the creation and active functioning of new integration unions of partner countries in the economic space of the globe has been proven. The basic conditions for the development of interstate cooperation: the scale of the economy, the growth of its complexity and connectivity, as well as its leading incentive – increasing public welfare – have been determined. The positive role of the association of EAEU member states operating in the Eurasian space and its place in strengthening regional international integration is substantiated. The increasing influence of the consensus positions of sovereign countries in pursuing responsible economic and financial policies is shown. The timeliness of making agreed decisions on mutually beneficial terms by friendly countries for the long term is being proven. Examples of accumulated invaluable experience of mutual assistance in the political and economic fields of interstate cooperation are presented. Conclusions about the advisability of intensifying activities to prepare for the transition of economic and financial relations of the EAEU member countries and other international integration associations to a new technological structure have been made. Recommendations on the advisability of forming a common vision among partner countries of objective trends in the dynamically changing reality in international economics and finance have been formulated. It would be advisable to focus further regional economic research on a more detailed study of the process of fragmentation of the world economic space and building prospects for international interaction in the future based on the application of system analysis methodology. This approach opens up opportunities for innovation in the financial and economic sphere and deepening integration processes between states from different regions of the world on the basis of partnerships and versatile mutually beneficial cooperation.