Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Real time data analysis and visualization for the breast cancer disease
Full text linkToday, the amount of data that are digitally collected in the healthcare sector is tremendous and expanding rapidly, these data are inherently geospatial and temporal ranging from individual families to whole states and from minutes to decades. Therefore, they need sophisticated data management and analysis to be transformed into valuable knowledge. Healthcare professionals are faced with several challenges regarding extracting knowledge from this massive amount of data in order to support the decision-making process. To gain advantage of health care big data, big data analytics need to be exploited to utilize and understand patterns associations within these data thus make the right decision. In this research, an interactive data analysis and visualization tool is proposed to visually compare the performance of three machine learning algorithms on Wisconsin Diagnostic Breast Cancer (WDBC) dataset. The proposed model consists of two phases: input phase and analysis/visualization phase. It aims to allow the user to interactively compare the performance of three different ML algorithms (KNN, SVM and NB) in terms of accuracy, sensitivity and error rate in a user-friendly way. Here, SVM classifier has proven its efficiency and it is concluded as the best classifier with the highest accuracy as compared to the other two classifiers
Review Helpfulness Prediction: Survey
Full text linkOnline reviews have become the major driving factor influencing purchasing behavior and patterns of social customers. However, it is difficult for customer to cover good reviews about any product or service according to massive amount of reviews latest years. Many previous researches provide innovative models about predicting review helpfulness in E-commerce websites. Some of these studies exploring the direct effect of review attributes on review helpfulness while others focused on reviewer’s attributes only. The main objective of this research is to review the most important attributes that have an affect on review helpfulness from many perspectives such as datasets, techniques, frameworks and evaluation methods of the experiments. The paper ends up with important findings about most attributes effect the review helpfulness such as Review Valence
Formation of digital inclusion in the educational system of Kazakhstan in a system of equal access
Full text linkDigital changes in education systems have made the problem of ensuring equal access to digital resources, infrastructure and learning opportunities more urgent. The purpose of the study is to analyze the formation of digital inclusion in the education system of Kazakhstan and identify factors that determine inequality of participation in the digital educational environment. A mixed design was used, which involved a synthesis of a quasi-experimental approach (pre-/post-test), quantitative questionnaires and qualitative analysis of open-ended responses from students and teachers. The total sample consisted of 380 participants. The results showed an average level of digital inclusion (M = 63.8, SD = 11.4). More than a third of students (34.7%) used a smartphone as their main learning device. This is due to reduced indicators of digital inclusion (t(318) = 5.14, p < .001, d = 0.81). Only 26.9% had a stable Internet connection. ANOVA indicated statistically significant SES gaps (F(2,317) = 28.41, p < .001): students with high SES (M = 71.8) outperformed students with average (M = 64.3) and low SES (M = 57.2). Regression analysis confirmed that digital competence is the strongest predictor of digital inclusion (β = 0.36, p < .001). The study indicated that there are the following barriers to the development of digital inclusion: technical, cognitive-navigational, organizational and psychological. At the same time, the experimental intervention (digital training, LMS standardization, digital tutoring) contributed to the increase in the level of digital inclusion. Therefore, the study made an empirical contribution to the understanding of digital inclusion in Kazakhstan and pointed to the interaction of infrastructural, cognitive, and social factors
Applied aspects of e-commerce system modeling
Full text linkFor every business today, the most important tasks are the timely informing of the target audience and the ability to sell the product or service as quickly as possible. Because of that reasons the e-commerce system has received such an extension, since such an approach allows simultaneous fulfillment of these and other tasks, control over realization of marketing tasks and make sales as effective as possible. Every year a large number of real (physical) business goes into on-line sphere. So, it is important to analyze the main principles of functioning of the company in the e-commerce sphere. Article is devoted to assessing the effectiveness of the company, which starts in the segment of e-commerce. When searching for the most rational route the average number of orders for the products, the average execution time, the average number of orders in the queue, as well as potential business, sales revenue product, investment and operational costs were taken into account. As a result, a mathematical model in a form of a system of three differential equations using the elements of queuing systems theory is presented. It allows to evaluate the expediency and efficiency of the transition of the enterprise from the real sector to the e-commerce system
The Rating Model of Ukraine\u27s Regions According to the Level of Economic Development
Full text linkThe identification of the real level of economic development of the region is an important condition to design effective regional development policy. Economic development is characterized by a large number of indicators. This study provides an approach for assessing the level of economic development based on the use of a comprehensive index, which is a convolution of initial indicators. The model involves the use of both a group of absolute indicators and a group of relative measures of dynamics. Each of the groups of indicators has its special data normalization procedure and its special method of convolution into a partial comprehensive index. The outcome of the evaluation is obtained by weighted multiplicative convolution of partial comprehensive indexes. In this study, the level of economic development of regions of Ukraine according to the data of 2017 has evaluated. As a result, Ukraine’s regions were allocated into three groups: with the level of economic development above average, with the average level of economic development and with the level of development below average. The article suggests a way to determine the boundary values of the comprehensive index for grouping. Comparison of the obtained results of grouping with the results of clustering of the Ukraine’s regions by the k-means method with the same data showed their identity. The article shows that Ukraine’s regions can be allocated by the level of economic development into other number of groups
Decision Support Systems Classification in Industry
Full text linkThis research has presented a discussion of related literature on decision support systems (DSS) and its role in production systems. The first part of the research presents DSS and how this has evolved until 2010. The next part of the research provides a discussion of the decision making process and the data mining phases as these relate to DSS. The last part of the research presents further discussion of DSS and various perspectives on the criteria that could be used for DSS. The criteria in the classification of DSS includes the following: user relationship; orientation; scope of use; type and frequency of decision making; mode of assistance; focus area; objective; capacity; degree of guidance; and, degree of non-procedurality. The research also included a discussion of industry 4.0, which is known as the fourth revolution in the industry
A new model for study of quality attributes to components based development approach
Full text linkSoftware development costs, time-to release and quality product are important factors affecting the construction of software. Different types of tools and techniques are suggested by researchers to improve in delivering quality software systems with lower cost and reduce time to delivery. One such practice is development of software using Component Based Software Development (CBSD) techniques"[1]. CBSD recommended building software systems using existing reusable components, instead of writing from scratch. The main objective of CBSD is to writes once and reuse any number of time with no or modification. Some of the advantages that a company may available by adapting CBSD for the Software development are shorter development time which results in meet tight dead line, increase productivity and Quality Product. CBSD also, support reusability"[3]. The aim of this paper is to develop the new model of software product and describe the characteristics of some selected of attributes of CBSD models that are widely practiced in software industries with explain about IT project. We proposed a complete model for Component Based Software Development for reuse. This Model will cover both component based software development as well as Component development phases for A-Model. This Model is represent one good solution for Component Based Development with reduce cost and time to deliverable and save the quality of product
Building a general concept of analytical services for analysis of structured data
Full text linkIn this paper, “Building a common concept of analytical services for analyzing structured data” was proposed to build an analytical service to provide forecasts, descriptive and comparative data summaries using modern Microsoft technologies. This service will allow users to perform flexible viewing of information, receive arbitrary data slices and perform analytical operations of drill-down, convolution, pass-through distribution, the comparison in time. With the help of data mining, it is possible to detect previously unknown, non-trivial, practically useful and accessible interpretations of knowledge that are necessary for the organization\u27s decision-making. Also, each client can interact with the service and thus monitor the displayed analytical information. In the process of work the following tasks were solved: investigated the subject area; studied materials relating to systems and technologies for their implementation; designed service architecture and applications to configure the service; selected technologies and tools for the implementation of the system; implemented the main frame of the system; modules for interaction with analysis services, data mining (a priori algorithm) and partially a module of neural networks; a report was written and a presentation of the results was prepared; The developed service will be useful to all organizations that are interested in obtaining analytical reports and other previously unknown information on their accumulated data. For example, organizations can analyze the impact of advertising, customer segmentation, search for signs of profitable customers, analyze product preferences, forecast sales volumes, and more
Analysis and simulation of three MANET routing protocols: A research on AODV, DSR & DSDV characteristics and their performance evaluation
Full text linkMobile ad-hoc network allows electronic devices to independently configure the communication; even if the device changes its position, the (MANET) can maintain the connectivity among the devices since it has the capability to arrange a temporary network dynamically. The lack of central infrastructure and the freedom of mobile nodes to move randomly will create several problems, like routing and security issues. MANET requires a stable routing algorithm to adapt to the network that changes its topology randomly at any time. Several studies were conducted with different scenarios to suggest the best protocol for routing. However, a clear performance evaluation is still a missing part, because the dissimilarities in the mechanism of the protocol can lead to important performance differences. This article provides a performance assessment of (DSR), (DSDV), and (AODV) protocols. Research results and the evaluation of the network are made based on network size, mobility, and variable network load by using NS2 application for simulation. The results reveal that the (AODV, DSR) are more efficient than DSDV and reasonably more proper for ad-hoc applications and projects
The importance of evaluating the environmental design and performance of student projects as a product of architecture departments: A case study
Full text linkThis study investigated the extent to which the requirements and guidelines of environmental education approved by the National Architectural Accrediting Board (NAAB) are met in the academic programs of the Architecture Department of Al-Nahrain University. It also attempted to examine to what extent these guidelines are considered in practical and theoretical parts, and across various stages. To this end, the number of topics given in the field of environment was determined and a review of the importance of this subject was done. Then, the most important studies carried out in this area were extracted and a comparison was made between what must be achieved in the field of environmental education according to the NAAB guidelines and what really exists in educational courses of the Architecture Department of Al-Nahrain University. As a result, the shortcomings that prevented the fulfillment of the NAAB conditions were identified. The findings suggested that, in order to meet the NAAB requirements on environmental education, there is a need to activate applied practical aspects in the environmental education concerning academic projects and the preparation of supporting laboratories for applying the software and calculations on such projects to verify the projects\u27 performance environmentally