Inquiry (E-Journal - Faculty of Business and Administration, International University of Sarajevo)
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A 3 dB Microstrip Power Divider at 2.2 GHz with Floating Metals
Full text linkIn this paper, a solid, inexpensive power divider of 2.2 GHz with a low-pass filtering response is proposed, analyzed and designed. Following results have been achieved, S11 -14.7 dB, S12 -3.318 dB, S13 -3.008 dB. Design is based on the vertical slits around the corners, and eight floating parallel metals that keep the divider in current free state. It is symmetrical along the middle which provides significant compatibility in manufacturing process. Can be used within microwave band of frequencies in 2-4 GHz spectrum band in electromagnetics. Provides substantial stability and reliability in its working domain
Wavelet Transform-Based Phylogenetic Analysis of Protein Sequences
Full text linkWith the acceleration of gene sequencing studies, many biological data emerges. By analyzing these data, it contributes greatly to the studies on understanding the metabolic disorders in the organism and increasing the efficiency of the drugs. For this purpose, it is critical to classify the data in a way that is accurate, fast and low-cost according to its characteristics and relationships. Besides experimental methods, machine learning and bioinformatics methods are used. Artificial neural networks, support vector machines, flexible calculation methods are frequently used methods. However, the effectiveness of these methods on biosecence data depends on the method of using the method with the most appropriate parameters and converting protein sequences into numerical sequences. When the sequences are transformed with amino acid frequencies, the properties of amino acids are ignored. For this purpose, handling the physicochemical (hydrophobicity, hydrophilicity ...) properties of amino acids increases the performance of classification techniques. The phylogenetic tree is the best method to visualize the classification among species. In the project, the wavelet transform used in the analysis of digital signals has been adapted to protein sequences defined by hydrophobicity values. Each protein sequence was defined to correspond to a signal, the wavelet transform was divided into approach and detail components, and the similarities between them were calculated, and the phylogenetic tree of the species was created. As an application, phylogenetic trees of ND5 protein sequences of 22 species were created in the MatlabR2017 program of NeighborJoining (NJ) and Unweighed Pair Group Method of Aritmetic Averages (UPGMA) methods
Predicting air pollution in Almaty city using Deep Learning Techniques
Full text linkNowadays, in the era of urbanization and the growth of the social welfare of the population, megacities such as Almaty suffers from environmental problems such as air pollution. Air pollution adversely affects people's health, which leads to various harmful diseases. By predicting Particle Matter 2.5 (PM2.5) according to data of pollution particles and physical parameters we will reveal the effectiveness of measures taken by local authorities to meet the standards of the safety threshold for living beings. The paper’s main goal is to create a predictive model for particle matter 2.5 using a 3-layered sequential neural network model and gain the highest accuracy to simulate the continuation of the ecological situation in the city. The proposed model consists of four stages: data collection (from 6 stations), data pre-processing by treating missing values we deleted them and data normalization with function MinMaxScaller, building 3-layered sequential neural network and model evaluation using Mean squared error (MSE) metric, supported with a platform - Colab notebook and implemented using Python language. Based on experimental results, the forecast was defined as reliable - the strength of the model was proved using the MSE evaluation metric and equals 1e-5
Computerized Simulation using Finite Element Method (FEM) for Guardrail Crashes
Full text linkThe rigid structure of the existing w-beam guardrail design leads to numerous death and injuries. Recently, a new prototype was produced by considering the best design while innovating an additional element to the existing w-shape guardrail to create a safer and more practical device. Yet, the behavior of the prototype when subjected to explicit impaction force with proper environment setting was not properly investigated experimentally. By using Ansys Ls-Dyna software, finite element analysis was conducted by subjecting a higher impaction velocity with proper environment setting on both models: (1) the existing w-beam model, and (2) prototype model. The validity of the produced finite element model was ensured by comparing the maximum impaction force of the existing experimental literature. The model deformation in terms of element displacement and scale of force received by both models was observed. The observation showed that the additional element on the prototype reduced the deformation rate onto the beam span under the impaction force of 26.933 kN
Kazakh Text Generation using Neural Bag-of-Words Model for Sentiment Analysis
Full text linkText generation plays an important role in making decisions in business. Analyzing the consumer’s feedback provides a complete picture of the problem with a definite direction. However, sentimental analyses of reviews in the Kazakh language are not widely cultivated. In this paper, we introduce the Kazakh text generation using the Bag-of-Words model (BoW) models for analyzing the opinions of consumers in social networks. The use of proposed models in natural language processing consists of four stages: data collection, cleaning data, building model, and model evaluation. The proposed BoW model is supported by the platform - Colab notebook and implemented using the python language. Based on experimental results, defined method with higher efficiency as compared to other existing analogs
THE EFFECTS OF VIDEO GAMES ON SCHOOL ACHIEVEMENT IN PRIMARY EDUCATION BASED ON SARAJEVO CITY: A DATA SCIENCE CASE STUDY
Full text linkVideo games are in recent years a big part of our daily life, especially for young people, and for most of them they have a very important role in their life. The video game industry and video games development are growing every day, and especially in the last period with Covid-19 pandemic and lockdown lot of people find comfort and spend their free time playing games, most of the consumers of the video games are young people or to be precise kids. The idea is to show and investigate the linking effects of video games to school achievement in primary education. Or to be precise by data analysis and data mining the aim is to investigate and show the results of the analysis. that are collected. Datapoints are collected from several elementary schools that are participating in this investigation. Data exploration and analysis consisted of exploring the most important features, relations between different features in order to better understand the data that we are dealing with. All analyses in this thesis are done in R programing language and RStudio as IDE
Measuring Diversity Perceptions: A Qualitative Research
Full text linkHaving diversity inside the organization is getting more and more important. Because of the tough competition in the external world which is changing in dynamic way, companies need to find adaptation strategies. When a company’s diversity capacity increases, its potential for survival and adaptation also increases. To gain the advantages of diversity, the most important thing is to understand people’s diversity perceptions. Then it will be possible to make a decision, if that organization is suitable for diversity management or not. In this research the main aim is to understand the key words about diversity perceptions and how it differentiate. There were 25 participants and the data was collected by face to face. While analyzing the data, some key words were detected which is valid for the whole group and then also analyzed according to gender parameter
Implementing a Students’ Survey System in Iraqi Universities: A Case Study in Basra University
Full text linkThis research deals with total quality management as a method that has been described as the third revolution after the industrial and technological revolutions. The present case study was undertaken to implement a survey system to provide a predefined survey by the Iraqi universities to establish and test dimensions for measuring service quality in higher education. The main purpose of this work is to deploy students’ surveys related to academic subjects to evaluate students’ satisfaction with services provided by Higher Educational Institutions. Specifically, the study found a significant relationship between the five dimensions of service quality (tangibility, reliability, responsiveness, assurance, and students’ satisfaction). The findings generally indicate that the majority of students are satisfied with the proposed survey system. Such findings help universities make a better strategic plan to enhance students’ satisfaction in particular and its overall performance in general
Energy Usage and Environmental Risk Management in Residential and Commercial Sector using Fuzzy TOPSIS&Game Theory
Full text linkStudies in recent years show that the process of energy planning has been a vital problem in the sense of sustainability, insufficient sources and increased industrial energy request. The commercial buildings are the main consumers of electricity, and play an important role in sustainable cities and societies. The effective energy management in these building is usually influenced by the social, technical, and environmental restraints. These restraints determine the standard of living and comfort. The purpose of this study is to determine the best energy management strategy, to formulate Game theory approach with different environmental strategies and develop various indicators related to energy efficiency and the comfort level of power components. Players which are the residential-commercial sector and environment try to ensure sustainability and comfort. In the recommended method, the closeness coefficient of each policy scenario figured out utilizing Fuzzy TOPSIS and different performance indices have been developed for energy use, taking into account the comfort level ranked. The equilibrium point (RCS2, ES5) is found to identify the most appropriate strategies by using payoff matrix. This result means that renewable energy usage and sustainability strategies are the ideal solutions for the RCS player the environment player, respectively
Supervised Learning Algorithms in Educational Data Mining: A Systematic Review
Full text linkThe academic institutions always looking for tools that improve their performance and enhance individuals outcomes. Due to the huge ability of data mining to explore hidden patterns and trends in the data, many researchers paid attention to Educational Data Mining (EDM) in the last decade. This field explores different types of data using different algorithms to extract knowledge that supports decision-making and academic sector development. The researchers in the field of EDM have proposed and adopted different algorithms in various directions. In this review, we have explored the published papers between 2010-2020 in the libraries (IEEE, ACM, Science Direct, and Springer) in the field of EDM are to answer review questions. We aimed to find the most used algorithm by researchers in the field of supervised machine learning in the period of 2010-2020. Additionally, we explored the most direction in the EDM and the interest of the researchers. During our research and analysis, many limitations have been examined and in addition to answering the review questions, some future works have been presented