Inquiry (E-Journal - Faculty of Business and Administration, International University of Sarajevo)
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209 research outputs found
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A study on fuzzy connectedness and fuzzy continuity in fuzyy topological spaces
Full text linkFuzzy connectedness and fuzzy continuity are important concepts in the field of fuzzy mathematics, and have been studied in various types of fuzzy spaces. In this review paper, we have explored several recent research articles that investigate these concepts in different types of fuzzy spaces, including intuitionistic fuzzy topological spaces, quasi-metric spaces, generalized metric spaces, generalized fuzzy topological spaces, intuitionistic fuzzy soft metric spaces, fuzzy normed linear spaces, fuzzy quasi-metric spaces, fuzzy metric spaces, and b-metric spaces. The methodology and results of each study vary based on the type of fuzzy space under consideration, but all papers aim to provide a better understanding of the properties and behavior of fuzzy connectedness and fuzzy continuity. Common theme across these articles includes the use of various types of fuzzy functions, fuzzy sets, and the extension of classical concepts to fuzzy spaces. This review paper provides a comprehensive overview of the recent advances in the study of fuzzy connectedness and fuzzy continuity, highlighting similarities and differences among the various types of fuzzy spaces and suggesting directions for future research
Few techniques of stability analysis for infectious disease employ the compartmental model
Full text linkThe cycle of life includes everything from joy to sorrow to good health to sickness. Most people have had a viral infection at some point in their lives, whether it was a small infections or the flu. It is amazing that a microscopic particle that cannot even be seen under a microscope and cannot even replicate on its own can enter any living creature and use the resources of that life form to create thousands of copies of the virus, some of which can even be fatal to the living species. Understanding the origin, means of prevention, means of control, and attempts at preventative measures are essential in the fight against these illnesses. It is immoral to experiment on infectious diseases, unlike other types of research. On the other hand, mathematical models can reasonably explain how the disease is spreading. This article focuses on few compartmental models and a technique to analyze the infectious disease. The control analysis technique which employ to comprehend how diseases move among the populations and where the controls are required. In this article Routh-Hurwitz criterion is employed to analyze the system of equations
A Cryptographic Algorithm using Fuzzy Logic and Deck of Cards
Full text linkSharing of information in a secured manner is extremely essential in this world of internet technology. In recent times, many people come across situations wherein their personal data are being hacked by trespassers. These stolen data are used for many malpractices including theft of money. Many researchers involve themselves in finding a better path to overcome this difficulty. Cryptography plays a major role in bringing out a solution to rectify this issue. Mathematics provides a helping hand in most of the cryptographic techniques. It helps to secure data from hackers involved in the robbery of data. Fuzzy logic find its application in many field of research. This paper proposes a cryptographic technique which make use of fuzzy logic together with the help of deck of cards and its membership functional value
A High Frequency Dualband Microstrip Bandpass Filter
Full text linkThis paper is a representation of compact microstrip bandpass filter. In this design, two ports are located at the bottom. The basic geometry of this design consists of small thin metal lines that connect the main parts of the design. It operates at 6GHz with S11 of -11,9643dB, S12 of -1.05358. When frequency is 11GHz with S11 of -16,6695dB and S12 at -2,0354dB. Overall features of the design are given in the tables. All of the simulations are done in Sonnet. This design offers a reduction in the size of up to 57% compared to the conventional design. Overall this design offers unique reduction in size as well as good operational capacity
Selecting Appropriate Type of Package with Machine Learning Models in Logistic Companies
Full text linkThere are many factors for Logistics Companies to be successful and financially profitable. These factors can be grouped under two main headings, namely, the efficiency values of the processes and the costs. One of the most important costs is the cost of packaging and shifting. When the packaged orders are delivered to the cargo companies, the packaging and shifting costs are incurred in a way that is directly proportional to the volume value of the order. In logistics companies, these costs increase as a result of placing the order in a package with a larger volume value instead of the appropriate package type. Solving the pallet loading or container loading problems with mathematical models, the packaging personnel's output of the mathematical model for each order, and the employee's placing these products in the package according to the results of the model significantly reduce the efficiency value of the processes. For this reason, in this article, it is aimed to examine and learn the historical packaging data with different machine learning models and to inform the packaging personnel about which package type should be used for the current order
Design of Microstrip Coupledline Bandpass Filter
Full text linkMicrostrip Bandpass Filter simulations are included in this project paper. It has a graph, a design, a top view, and a 3D projection. The Coupled-Line Microstrip Filter is built of FR-4 material with a permittivity of 4.4 and is designed for a center frequency of 2.4 GHz. The ground is 1.55mm thick, and the air is 11mm thick. 50 ohms is the characteristic impedance. This filter is attached to the two ports and is made up of parallel-coupled lines linking the two ports. All of the dimensions have been put down. S11 values should be less than -10dB, while S12 values should be more than -2dB. The filter gives an insertion of -1.7 dB, return loss of -23 dB, and bandwidth of 1.5 GHz. Designed Microstrip Coupled Line Bandpass Filter can be used for wireless and high-frequency applications. All the design and simulations of this filter are done using Sonnet Suites Software
Practical assignments for CCNA7 COURSE, part 2: Switching Routing Wireless Essentials
Full text linkThis article considers the general requirements of new Cisco CCNA7 course, part two: “Switching, Routing, and Wireless Essentials (SRWE)” and describes the ideas of practical assignments for this part of course based on the Cisco Packet Tracer (PT). The modern automation approaches dictate the usage of the application of the variables and different variants which are specific for each student. The article suggests and covers the options of variable skills assignments and raises questions about the connected potholes and issues
Practical assignment for CCNA7 part 3, Enterprise Network Security and Automation
Full text linkThis article continues the discussion of the general requirements of new Cisco CCNA7 course and particularly provides the ideas of practical assignments for this course based on the Packet Tracer (PT). This article adds some corrections to previously provided approaches in [8] to managing and automation of the student practical skills assessments. The article also demonstrates the option of point distribution in assignment management and discusses the possible potholes and issues
Machine Learning Algorithms in Analysis, Diagnosing and Predicting COVID-19: A Systematic Literature Review
Full text linkSince the COVID-19 corona virus first appeared at the end of 2019, in Wuhan province, China, the analysis, diagnosis, and prognosis of COVID-19 (SARS-CoV-2) has attracted the greatest attention. Since then, every part of the world needs some sort of system or instrument to assist judgments for prompt quarantine and medical treatment. For a variety of uses, including prediction, classification, and analysis, machine learning (MLR) have demonstrated their accuracy and efficiency in the fields of education, health, and security. In this paper, three main questions will be answered related to COVID-19 analysis, predicting, and diagnosing. The performance evaluation, fast process and identification, quick learning, and accurate results of MLR algorithms make them as a base for all models in analyzing, diagnosing, and predicting COVID-19 infection. The impact of using supervised and unsupervised MLR can be used for estimating the spread level of COVID-19 to make the proper strategic decisions. The researchers next compared the effects of various datatypes on diagnosing, forecasting, and assessing the severity of COVID-19 infection in order to examine the effects of MLRs. Three fields are associated with COVID-19, according to the analysis of the chosen study (analysis, diagnosing, and predicting). The majority of researches focus on the subject of COVID-19 diagnosis, where they use their models to identify the infection. In the selected studies, several algorithms are employed, however, a study revealed that the neural network is the most used method when compared to other algorithms. The most used method for identifying, forecasting, and evaluating COVID-19 infection is supervised MLR
Determining students' views on digital competency training needs
Full text linkIn this study, it is aimed to determine the views of primary school 4th grade students on digital competence training needs. In the research, phenomenology (phenomenology) design, one of the qualitative research designs, was used. The study group of the research consisted of 7 students in a primary school in Fatih district of Istanbul in the 2021-2022 academic year. The data of the research were obtained with the semi-structured interview form applied to the students. Content analysis was used to analyze the answers of the students in the interview forms, first the data were coded, and then the categories (themes) that explained the data at a general level were determined. The related literature, interview questions and the answers given by the students to the questions were used to determine the themes. From the analysis of the data, four themes were identified: virus, citing the source, unwanted content, pirated product, and not knowing the notification addresses