Computer Science and Education in Computer Science
Computer Science and Education in Computer Science
Publishing House: Нов български университет
Subject(s): Education, Library and Information Science, ICT Information and Communications Technologies
Frequency: irregular and other
Print ISSN: 1313-8624
Online-ISSN: 2603-4794
Status: Ceased Publication
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Articles list
An extensive comparative analysis of sorting algorithms with quadratic complexity on small integer arrays
An extensive comparative analysis of sorting algorithms with quadratic complexity on small integer arrays
(An extensive comparative analysis of sorting algorithms with quadratic complexity on small integer arrays)
- Publication: (1/17/2021)
- Author(s): Slav Angelov, Metodi Traykov
- Contributor(s):
- Language: English
- Subject(s): Economy, Education, Higher Education , ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 1-5
- No. of Pages: 5
- Keywords: sorting algorithm; integer array; quadratic complexity; comparative analysis
- Summary/Abstract: A well-known fact is that lots of sorting algorithms with quadratic complexity are faster than the best-performing algorithms (e.g., quicksort and merge sort) on small data sets. Thus, we use them to improve the performance of the best sorting algorithms at a specific phase of their execution. In this study, we examine the performance of the most famous sorting algorithms with quadratic complexity, including quicksort, on small integer arrays. We count the number of comparisons and swaps for all possible permutations of integers in arrays with sizes less than 10. The obtained distributions of the performance reflect the specifics of the related sorting algorithms and can be used for academic and educational purposes. Additionally, we present a new sorting algorithm specially designed for a small number of elements and compare it to the rest.
Implementing a 3D model for simulations in mechanics
Implementing a 3D model for simulations in mechanics
(Implementing a 3D model for simulations in mechanics)
- Publication: (1/17/2021)
- Author(s): Lasko Laskov
- Contributor(s):
- Language: English
- Subject(s): Social Sciences, Economy, Education, Higher Education , ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 6-9
- No. of Pages: 4
- Keywords: model validation and analysis; three-dimensional modelling; numerical integration; object-oriented programming
- Summary/Abstract: A large category of problems that arise in physics require an efficient and robust implementation of a three-dimensional model that is specific and cannot be found in the existing software systems. Such models rely on 3D geometric objects representation to perform various simulations of different physical phenomena. Divers applications are based on 3D geometric objects, among which material deformation under certain conditions, heat propagation in a given environment, and as in our case, wave propagation simulation. Of course, the variety of examples that can be given is vast. In this paper we present an implementation of a 3D model as part of our solution of a 3D elastodynamic problem for wave propagation in continuously inhomogenous half-space. The model is optimized to serve as basis of boundary integral equation method (BIEM), but the approach can be applied in various applications that require 3D geometric objects representation.
Predicting Student’s Performance in Educational Institutes Using Tree Family Classifiers
Predicting Student’s Performance in Educational Institutes Using Tree Family Classifiers
(Predicting Student’s Performance in Educational Institutes Using Tree Family Classifiers)
- Publication: (1/17/2021)
- Author(s): Ammar Almasri, Jameel Alsarayrah, Diaa Salman
- Contributor(s):
- Language: English
- Subject(s): Social Sciences, Economy, Education, Higher Education , ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 10-13
- No. of Pages: 4
- Keywords: Student performance; Educational Data Mining; Tree Family
- Summary/Abstract: Academic systems are working in a complex environment and faced problems to analyze the performance of students using their current systems. Therefore, they use data mining tools to analyze an enormous set of data, get hidden and useful knowledge, and extract meaningful information. The aim of this study is to develop new learning techniques to predict students’ academic results. Five classifiers of the tree family used for the experiments are J48, BF Tree, NB Tree, Random Forest, Random Tree and REP Tree. The results indicated that Random Forest outperformed all the other tree family classifiers in all three datasets. Hence, it is a superior classification technique among the classifiers used for the educational datasets.
Age-specific mortality risk from Covid-19 in Bulgaria
Age-specific mortality risk from Covid-19 in Bulgaria
(Age-specific mortality risk from Covid-19 in Bulgaria)
- Publication: (1/17/2021)
- Author(s): Latchezar Tomov, Slav Angelov, Assen Tchorbadjieff
- Contributor(s):
- Language: English
- Subject(s): Economy, Education, Sociology, Higher Education , Health and medicine and law, Demography and human biology, ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 14-17
- No. of Pages: 4
- Keywords:
- Summary/Abstract: The accurate data modelling and analysis are very important for every process of data decision. In the case of current COVID-19 pandemic, any quality model is also vital for preservation of human lives and social stability. An important outline for this is the correct identification and estimation of asymmetry in mortality risk by age differentiation. For this purpose, we investigated in Bulgarian official data the relation between registered COVID-19 infections and related deaths by age and time to estimate the absolute and relative mortality risk. The aim is to design a basic framework for risk management strategies in order to minimize deaths during the ongoing COVID-19 epidemic in countries with similar healthcare levels. The used statistical methods are based on dynamic regression models and classical time series analysis.
Modeling seasonality of net electrical consumption in Bulgaria
Modeling seasonality of net electrical consumption in Bulgaria
(Modeling seasonality of net electrical consumption in Bulgaria)
- Publication: (1/17/2021)
- Author(s): Latchezar Tomov
- Contributor(s):
- Language: English
- Subject(s): Social Sciences, Economy, Education, Energy and Environmental Studies, Higher Education , ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 18-22
- No. of Pages: 5
- Keywords: electrical consumption; time series analysis; seasonality modeling; Arima
- Summary/Abstract: Net electrical consumption in many countries exhibit strong seasonal patterns, due to consumer behavior and the need of the industry to maintain constant temperature in facilities independently of the seasonal variation of mean temperature and its long-term trend. We use Arima models and Fourier transformation in order to capture the dependency between net electrical consumption and mean monthly temperature. We use our interpolation algorithm to construct mean national monthly temperature.
Hardware Design Automation with Python and Verilog HDL
Hardware Design Automation with Python and Verilog HDL
(Hardware Design Automation with Python and Verilog HDL)
- Publication: (1/17/2021)
- Author(s): Yassen Gorbounov
- Contributor(s):
- Language: English
- Subject(s): Social Sciences, Economy, Education, Higher Education , ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 23-27
- No. of Pages: 5
- Keywords: Field Programmable Gate Arrays; Electronic Design Automation; Python; Verilog; Digital Design
- Summary/Abstract: This article discusses an approach to facilitate the design of digital devices of increasing complexity by using the Python language. In this way, both synthesizable designs and non-synthesizable testbench modules can be created. Some practical examples used in the training of students are considered, including the design of a series of frames for control of matrix indicator, a binary multiplier, implemented both as a memory and by using a recursive algorithm. The capabilities of programming languages are increasingly used to create verification environments, as they provide convenience in describing the behavior in the submission of test vectors and making comparisons with the expected response despite the requirement for parallelism in the design. Also, in the verification process, the need for low-level hardware knowledge is not as great as when creating synthesizable designs. In this sense, the software approach, including the concept of object-oriented programming, turns out to be very appropriate. This makes working with complex designs more accessible, particularly for university students, saving them time and allowing them to concentrate on tasks with a higher level of difficulty.
Conway’s Circle Theorem: A Short Proof, Enabling Generalization to Polygons
Conway’s Circle Theorem: A Short Proof, Enabling Generalization to Polygons
(Conway’s Circle Theorem: A Short Proof, Enabling Generalization to Polygons)
- Publication: (1/17/2021)
- Author(s): Eric Braude
- Contributor(s):
- Language: English
- Subject(s): Social Sciences, Economy, Education, Higher Education , ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 28-33
- No. of Pages: 6
- Keywords: geometry; Conway circle theorem; triangles concurrency
- Summary/Abstract: John Conway’s Circle Theorem is a gem of plane geometry: the six points formed by continuing the sides of a triangle beyond every vertex by the length of its opposite side, are concyclic. The theorem has attracted several proofs, even adorned Mathcamp T-shirts. We present a short proof that views the extended sides as equal tangents of the incircle, a perspective that enables generalization to polygons.
Scenarios to Use Sensors in Agriculture, Home, Office, Well-Being
Scenarios to Use Sensors in Agriculture, Home, Office, Well-Being
(Scenarios to Use Sensors in Agriculture, Home, Office, Well-Being)
- Publication: (1/17/2021)
- Author(s): Rossitza Goleva, Vasil Kadrev, Alexandar Savov, Zhivka Koleva, Plamen Draganov, Svetoslav Mihaylov
- Contributor(s):
- Language: English
- Subject(s): Social Sciences, Economy, Education, Business Economy / Management, Agriculture, Higher Education , Human Resources in Economy, ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 34-40
- No. of Pages: 7
- Keywords: sensors; data sharing; cloud technologies; agriculture; smart cities; smart home; well-being
- Summary/Abstract: Recent sensor technologies allow monitoring of many events locally and remotely in near-real-time. Whereas being at home, working in the garden, entering office, walking or travelling one could access the data from previously installed sensors and take decisions. Technologies are often considered as an additional burden by many people. However, young generations do prefer to control their environment and be capable to manage it using electronic devices. In this paper we propose different scenarios that allow us to consolidate different sensors within a single application and control the user environment locally or remotely through mobile devices. The sensors experimented have been installed in a house, in an office, in a garden, carried by a person. Different sensor technologies have been implemented and data is shared in an understandable format for the application and the users.
Effects of media on cryptocurrencies prices
Effects of media on cryptocurrencies prices
(Effects of media on cryptocurrencies prices)
- Publication: (1/17/2021)
- Author(s): Ana Todorovska, Hristijan Peshov, Eva Spirovska, Ivan Rusevski, Irena Vodenska, Lubomir Chitkushev, Dimitar Trajanov
- Contributor(s):
- Language: English
- Subject(s): Social Sciences, Economy, Education, Media studies, Communication studies, Higher Education , Financial Markets, ICT Information and Communications Technologies
- Issue: 1/17/2021
- Page Range: 41-45
- No. of Pages: 5
- Keywords: cryptocurrency; cryptocurrencies; NLP; Machine Learning; Time Series Forecasting; Explainable AI
- Summary/Abstract: Cryptocurrencies present a novel medium of exchange that enables secure financial transactions without a central clearing authority. Billions of dollars are traded on the cryptocurrency market, contributing to the increased importance of cryptocurrencies within the global financial system. The cryptocurrency market is highly volatile and influenced by different social media and other media outlets. This study aims to investigate media influence, assessing the degree and nature of influence. We analyze historical cryptocurrency prices and utilize an NLP model to extract sentiments from the data obtained by social media and other media outlets. We use Time Series Forecasting and Explainable AI models to depict best the influence of media outlets over the cryptocurrency market. We compare the results for the different social media and other media outlets and present the findings that can be used in future research and cryptocurrency price forecasting.
Short Description
“Computer Science and Education in Computer Science” is an annual on-line journal since 2005, refereed in Google Scholar. It publishes papers from international conference of the same name, organized by New Bulgarian University (NBU), University of Applied Science – Germany and Boston University (BU) – USA. Topics are in a wide range of Computer Science research areas, Mathematics for Computers Science Engineers, as well as Educational aspects.
