Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Quantum fuzzy genetic algorithm with Turing to solve DE
Get PDFIn this study, we create the quantum fuzzy Turing machine (QFTM) approach for solving fuzzy differen-tial equations under Seikkala differentiability by combining it with a differential equation and a genetic algorithm. A theoretical model of computation called a quantum fuzzy Turing machine (QFTM) incor-porates aspects of fuzzy logic and quantum physics
A comparison between the hierarchical clustering methods for postgraduate students in Iraqi universities for the year 2019-2020 using the cophenetic and delta correlation coefficients
Get PDFThe educational sector is one of the important sectors in the world, and it is considered one of the means of community development. In addition, it is one of the means of making the country’s renaissance and devel-opment because it represents the factory of thinking minds that make change. There is no doubt that this sector is the same as any other sector. The deficit in the studied scientific planning has been prolonged, which led to its deterioration, and the problems of education remain diverse and inherited from previous time periods, where the hierarchical cluster analysis was used on postgraduate students in universities in Iraq, except for Kurdistan region, and the number of universities that were included in the study was (30) universities. In the whole of Iraq for the year 2020, when using the comparison measures the Cophenetic Correlation Coefficient (CCC) and the Coefficient Delta (DC), it was found that the Complete Linkage Method is the best among the hierarchical methods, as the value of (CCC) is 0.952061, and the value of (DC(0.1)) it is 0.288973, and in the case (DC(0.5)) it is 0.26877, then followed by Median method, Ward\u27s method and finally Single Linage Method.
 
Towards a metrics model for DevOps adoption: Case study of an enterprise application
Get PDFThe widespread use of DevOps in the industry has brought about the need to define mechanisms that allow for evaluating its adoption and usage in organizations. With the purpose of providing a solution to assess the degree of DevOps adoption in the software industry, this article presents a metrics model to determine the extent to which the proposed practices and values in DevOps are being fulfilled. The metrics model is the result of a systematic literature review and a harmonization process of initiatives proposed by other authors. This led to the definition of 11 metrics following the formalism proposed by the Goal-Question-Metric approach. To extend the validity of the model, this article presents the results of two case studies conducted in two software development companies
Adaptation of the educational process in Ukraine to artificial intelligence technologies: A systematic review
Get PDFArtificial intelligence (AI) is crucial in transforming the modern educational system. This article analyses the key processes involved in adapting Ukraine\u27s educational system to AI technologies through a systematic review. To achieve this aim, PRISMA guidelines were employed, enabling the identification of the most relevant literature on the subject. The selected academic sources were analyzed using the content analysis method. The findings highlight that the primary objectives of AI integration in education include facilitating personalized learning, enhancing digital skills, automating tasks, influencing motivation, fostering self-regulation and reflection, and improving the analysis of educational data. These objectives support personalized educational programs, the exploration of new digital technologies, critical thinking, and the automated processing of organizational information within education. However, several obstacles have been identified, such as insufficient funding, a shortage of qualified personnel, infrastructure challenges, the lack of legal frameworks regulating AI usage, issues with data accessibility, risks associated with automation, and related ethical concerns. Addressing these challenges will require comprehensive solutions, including increased investment in education and scientific infrastructure, legislative changes, continued incentives for innovation, and educational outreach efforts. The conclusions emphasize the importance of preparing teaching and technical staff to adequately respond to the educational environment\u27s evolving demands
About a Dilemma in the Telecommunications Sector: VirtualOperators or Low-cost Operators?
Get PDFA virtual operator is fragile when it is incompetition with other virtual operators. This is explained by the“Bertrand paradox”: when firms sell products not differentiated (ornot enough differentiated) a price war has terrible consequences(the profits tend to zero). But it is worse if there is a price warbetween the operators with a network. It occurred in France duringthe period 2012 – 2018. The entrant Free triggered a price war. Thereaction of the incumbents was to create low-cost operators whichwere their branches. The only virtual operator with a large size,Virgin Mobile, was “bought and closed down” by the incumbentSFR. It suffered too much because of the incumbents decreasingtheir prices and the low-cost operators, both. It lost manycustomers. One proposes a model to explain why the “buy andclose down” of Virgin Mobile was profitable (and chosen) in theseconditions. The method used is Bertrand competition.Also, the “buy and close down” which is profitable is a criteriumfor products which are not enough differentiated. A few examplesare given.The aims of the paper are two:- To study how works a price war in telecommunications.- More generally, the possibility of profitable “buy andclose down” allows to propose a criterium for saturatedmarkets. Even, the criterium could be used to buildsoftware (to test if a market is saturated or not). The rivalmodels which are presented in the literature arecommented
Boosted networks for the diagnosis of cardiovascular diseases: Mehmet Can
Get PDFA boosting by filtering technique for neural network systems with back propagation together with a majority voting scheme is presented in this paper. Previous research with regards to predict the presence of cardiovascular diseases has shown accuracy rates up to 72.9%. Using a boosting by filtering technique prediction accuracy increased over 80%. The designed neural network system in this article presents a significant increase of robustness and it is shown that by majority voting of the parallel networks, recognition rates reach to > 90 in the V.A. Medical Center, Long Beach and Cleveland Clinic Foundation data set
Studying the effect of concentration on spectral and optical properties of chitosan polymer
Get PDF Due to its noteworthy physico-chemical behaviors, the chitosan (CS) biopolymer presents a compelling alter-native to conventional biomaterials. By measuring the emission spectra at a spectrofluorophotometer in differ-ent concentrates (1x10-4, 1x10-5, and 1x10-6) M, the spectral characteristics of the CS polymer were obtained. The crystallinity of the CS polymer was determined by X-ray diffraction (XRD) analysis, which shows only one dominant peak indexed to the orthorhombic structure. With a drop in solution concentration, there was a shift toward the shorter wavelength and a decline in quantum yield. Using a UV-Vis spectrophotometer, the optical properties of the CS polymer, including its refractive index, absorption coefficient, energy band gap, extinction coefficient, and dielectric constant, have been studied. It was observed through the results that the optical parameters are linearly dependent with concentration. In contrast to the optical energy gap, which de-creases with increasing concentration.
 
Modeling the trend of Iraqi GDP for 1970-2020
Get PDFThe study of economic growth indicators is of fundamental importance in estimating the effectiveness of economic development plans, as well as the great role it plays in determining appropriate economic policies in order to optimally use the factors that lead to the dynamics of growth in Iraq, especially during a certain period of time. The gross domestic product (GDP) at current prices), which is considered a part of the national accounts, which is considered as an integrated dynamic of statistics that produces in front of policy makers the possibility of determining whether the economy is witnessing a state of expansion or evaluating economic activity and its efficiency in order to reach the size of the overall economy.The research aims to determine the best and most efficient statistical model to be used in forecasting the GDP in Iraq based on time series data for the period from (1970-2020) years. Where the general trend models (Linear trend, Quadratic trend and Exponential Trend) were applied, and the three models were compared to choose the best model using some statistical criteria, including the Akiaki Information Standard (AIC) and Schwartz Standard (SBS). The results showed that the appropriate model is the Quadratic trend model, were predicting and forecasting values are close to the real values of the GDP series
Improving understanding of the DevOps framework using Essence a visual representation
Get PDFDevOps aims to achieve effective integration between software development (Dev) and system operations (Ops) through the implementation of agile practices. These practices allow for a quick response to frequent changes that arise in the development cycle for a software product. In the advancements of agile practices in DevOps, it is common to find a lack of conceptual and visual integration in the DevOps development cycle, which complicates the understanding of these practices in the various DevOps phases. In this paper, we propose a visual representation of the practices in the DevOps using Essence, a standard framework for creating, adopting, and improving best practices in software engineering. Such a visual representation is an addition to the DevOps framework, which integrates processes, practices, principles, values, metrics and main concepts of DevOps. The proposed solution aims to enhance the understanding and impact of practices in DevOps, providing a comprehensible vision for industry professionals. Essence serves as a structured method to encapsulate and visualize the various elements of practices, ensuring that they are accessible and easily understandable. This visual representation helps bridge the gap between theoretical concepts and their practical application in a DevOps environment. By doing so, it facilitates better communication and collaboration among team members, leading to more efficient and streamlined operations. The results indicated the understandability and clarity of the representation of practices in the DevOps lifecycle, making it a useful tool for industry professionals seeking to optimize their DevOps workflows.
The impact of artificial intelligence and predictive analytics on insurance risk assessment in the digital age
Get PDFThis cross-sectional study examines the impact of artificial intelligence (AI) and predictive analytics on insurance risk assessment across 10 countries: Ukraine, Kazakhstan, Bosnia and Herzegovina, Poland, Czech Republic, Georgia, Serbia, Uzbekistan, Romania, and Turkey. Utilizing a mixed-methods approach, including a survey of 320 experts and econometric modeling, the research evaluates how AI adoption, predictive analytics usage, and digital infrastructure influence risk assessment accuracy. Results reveal significant regional disparities, with high AI adoption and robust digital infrastructure (e.g., Poland, Turkey) correlating with 74–78% error reduction, compared to 54–58% in lagging regions (e.g., Bosnia and Herzegovina). Regression analysis highlights AI adoption’s positive impact (β = 9.2, p < 0.01), moderated by digital infrastructure (β = 1.12, p < 0.01), while stringent regulations unexpectedly hindered progress (β = -3.1, p < 0.05). Qualitative themes underscore algorithmic bias and infrastructure gaps as critical challenges, particularly in data-scarce contexts. The study produces academic value through its extension of TOE and Diffusion of Innovations frameworks to investigate neglected markets while selecting spatial and infrastructural elements. The investigation provides applications for insurers which include infrastructure capital commitments along with localized methods for reducing bias and increased employee qualifications. Public-private partnerships and adaptive regulations should become policy priorities because they aid the pursuit of balance between innovative progress and fairness in the digital insurance industry