bluuebunny/crossref_metadata_2025 huggingface dataset:
PID Controller Based Nelder Mead Algorithm for Electric Furnace System with Disturbance
Authors: Sinlapakun Vunlop , Assawinchaichote Wudhichai
Published: April 2020

This paper presents a design of PID controller for furnace temperature control system with disturbance. Currently, PID controller has been used to operate in electric furnace temperature control system because its structure is simpler compared to others. However, the issue of tuning and designing PID controller adaptively and efficiently is still open. This paper presents an improved PID controller efficiency from tuning by Nelder Mead method. The parameters of PID controller shall be obtained from the Nelder Mead optimization procedure. Errors between desired magnitude response and actual magnitude response are calculated by using the Integral of Absolute Error (IAE). The proposed Nelder Mead based PID design method is simpler, more efficient and effective than the existing traditional methods included Ziegler Nichols, Cohen-Coon and Direct Synthesis. Simulation result shows that the performance of PID controller using this proposed method is better than traditional methods and resistant to disturbance.
R Peak Detection Algorithm based on Continuous Wavelet Transform and Shannon Energy
Authors: Thiamchoo Nantarika , Phukpattaranont Pornchai
Published: April 2020

The R peak detection algorithm is a necessary tool for monitoring and diagnosing the cardiovascular disease. This paper presents the R peak detection algorithm based on continuous wavelet transform (CWT) and Shannon energy. We evaluate the proposed algorithm with the 48 record of ECG data from MIT-BIH arrhythmia database. Results show that the proposed algorithm gives very good DER (0.48%-0.50%) compared to those from previous publications (0.168%-0.87%). We demonstrated that the use of the CWT with a single scaling parameter is capable of removing noises. In addition, we found that Shannon energy cannot improve the DER value but it can highlight the R peak from the low QRS complex in ECG beat leading to the improvement in the robustness of the R peak detection algorithm.
REDLE: A Platform in the Cloud for Elderly Fall Detection and Push Response Tracking
Authors: Silapachote Piyanuch , Srisuphab Ananta , Phongpawarit Jinkawin , Visetpalitpol Sirikorn , Jirapasitchai Sirima
Published: April 2020

Caring for a rapid and ever-increasing older population, providing social support and monitoring emotional wellness, is the most immediate and most urgent challenge prompted by the global aging of baby boomers. Elderly assisted systems do not only promote independent lifestyles, enhancing their quality of life, but also reduce stress and worry of families and friends. While being physically active is beneficial and much encouraged, it does increase the risk of falls. We developed an affordable fall detection and response tracking application on the cloud platform; mobile cloud computing is a major evolution with rising impact in information technology and enterprises. Our system, named REDLE, features push notifications for fall alerts and real-time maps for tracking and providing locations and phone numbers of nearby hospitals. Implemented on Android, it captures signals from an embedded tri-axial accelerometer and a global positioning system sensor. Coupled with an efficient threshold-based fall detection algorithm for instantaneous responses, REDLE achieved a near perfect fall detection rate and accurate tracking. Users enjoyed the smoothness of our interactive interface, and complimented on its ease of use and familiarity.
In-mole-fraction of InGaAs Insertion Layers Effects on the Structural and Optical Properties of GaSb Quantum Dots Grown on (001) GaAs Substrate
Authors: Kiravittaya Suwit , Khoklang Kamonchanok , Thainoi Supachok , Panyakeow Somsak , Ratanathammaphan Somchai
Published: April 2020

GaSb quantum dots (QDs) have been grown by solid-source molecular beam epitaxy on a 4-monolayer (ML) InxGa1-xAs (x = 0.07, 0.15, 0.20, and 0.25) to investigate the effects of In-mole-fraction of InGaAs insertion layers on the structural and optical properties of the GaSb QDs. The density of grown GaSb QDs is approximately 1.2-2.8109 cm−2 on In-GaAs insertion layers which depends on the In-molefraction. Dot shape and size change substantially when In-mole-fraction of InGaAs insertion layers is varied. The uniformity of GaSb QDs improves when the indium content increases. The change in freestanding QD morphology is likely due to the modified strain at different values of indium compositions in InGaAs insertion layers. The effects of In-molefraction of InGaAs insertion layer on optical properties of the QDs are studied by photoluminescence (PL). PL results show the blueshift of the emission when the indium content in InGaAs insertion layer increases.
A Review of Radio Resource Management in FemtoCell from Interference Control Perspective
Authors: Kayastha Nipendra , Niyato Dusit
Published: April 2020

A new and emerging technology called femtocell brings significant improvement in terms of better indoor coverage and higher data rate. Able to be installed and maintained by individual user, femtocell provides a cost effective solution to mobile operators to achieve higher network capacity. However, interference due to two-tier network structure introduces many challenges for successful femtocell deployment. In this article, we summarize various interference and resource management techniques proposed in the context of femtocell. Specifically, we focus on interference avoidance techniques. First, the overview of femtocells, its architecture, and common issues are presented. Next, various interference avoidance techniques are reviewed. At the end, several important research directions are outlined
The Analysis of LCL Resonant Inverter for Inductive Power Transfer Application
Authors: Hatchavanich Nattapong , Konghirun Mongkol , Sangswang Anawach , Naetiladdanon Sumate
Published: April 2020

Inductive power transfer (IPT) systems use the principle of magnetic coupling to transfer power through the air gap. A wireless battery charger is used as a case study. The resonant inverter is used to generate the high frequency current transmitting through the power pad. The basic topologies give the large inverter current with the large conduction loss. This paper proposes the LCL resonant voltage source inverter using low power device rating. The proposed IPT system has two operating points with different powers required. The ZVS operation region and two operating points are validated by the AC sweep of actual load and the frequency response of entire system. Finally, the experimental results at two operating points with the efficiency comparisons are included to verify the proposed system.
Analyzing and Developing Competency-Based Assessment of Persons with Disabilities in Thailand
Authors: Watthananon Julaluk , Chintanaporn Pollawat
Published: April 2020

The objectives of this research were to analyze and develop a competency-based assessment application for use with persons with disabilities in Thailand. A competency-based system is strategy of human resource development in the organization helping disabled people to improve their competency this will cause a paradigm shift of the labor market in Thailand. The target group for the study consisted of individuals with physical, visual, hearing, mental health, intellectual and learning impairments at the Universal Foundation for Persons with Disabilities (Thailand). Subjects were selected by purposive sampling. The experimental tools were: (i) a competency-based system for use by persons with disabilities; and (ii) a questionnaire administered to psychologists and social workers. The results were that: (i) the sample group reacted positively to the program and rated each aspect at a statistically significant ’good’ level; and (ii) after development, the program was able to identify people with disabilities who were ready for work within an organization.
Top-k Recommended Items: Applying Clustering Technique for Recommendation
Authors: Onuean Kittisak , Sodsee Sunantha , Meesad Phayung
Published: April 2020

This research proposes the Top-k Items Recommendation System which uses clustering techniques based on memory-based collaborative filtering technique. Currently, data sparsity and quantity of system are problems in memory-based collaborative filtering technique. We offer recommend or show some items set for user’s preference.  In this research, we propose methods for recommended items set to user preference on data sparsity, movie lens datasets (1M) consisting of 671 users and 163,949 product items were used by determining the preference level between 1 and 5 and user satisfaction levels of all 98,903 items being build and test the models. Methods was divided into three parts included 1) Simple Agent Module 2) Neighbor Filtering and 3) Prediction and Recommend. Simple clustering was used to create a system to provide suggestions for sparsity data. Datasets obtained from clustering represented the sample agent of dataset to being create the recommendation system. Datasets were divided into two categories, 1) Traditional Data (TD) and 2) Statistic Data (SD), and each dataset clustered by k-means clustering. The experimental results demonstrated that the number of item types in the system were recommended in the TD and Euclidean (DIS). DIS was used to find the nearest value in TD for the item list recommendation to active users in the system with the a lot of number choice of recommendation system.
An Ontology to Integrate Multiple Knowledge Domains of Training-Dietary-Competition in Weightlifting: A Nutritional Approach
Authors: Tumnark Piyaporn , Cardoso Paulo , Cabral Jorge , Conceição Filipe
Published: April 2020

This study is a part of weightlifting “Training-Dietary-Competition” (TDC) cycle ontology. The main objective of TDC-cycle is to build a knowledge framework for Olympic weightlifting, bringing together related fields such as training methodology, weightlifting biomechanics, and nutrition while modelling the synergy among them. In so doing, terminology, semantics, and used concepts are unified among athletes, coaches, nutritionists, and researchers to partially obviate the problem of unclear results and paucity of information. The uniqueness of this ontology is its ability to solve the knowledge sharing problem in which the knowledge owned by these experts in each field are not captures, classified or integrated into an information system for decision-making. The whole weightlifting TDC-cycle is semantically modelled by conceiving, designing, and integrating domain and task ontologies with the latter devising reasoning capability toward an automated and tailored weightlifting TDC-cycle. However, this study will focus mainly on the nutrition domain. The intended application of this part of ontology is to provide a useful decision-making platform for a sport nutritionist who gathers and integrate relevant scientific information, equation, and tools necessary when providing nutritional services. The system is constructed by using Web Ontology Language (OWL), Semantic Web Rule Language (SWRL), and Semantic Query-Enhanced Web Rule Language (SQWRL). The use of weightlifting TDC-cycle ontology can be helpful for nutritionists to create a well-planned nutrition program for athletes (especially, in the process of nutrition monitoring to identify energy imbalance in athletes) by reducing time consumption and calculation errors.
Scalable Hardware Mechanism for Partitioned Circuits Operation
Authors: Katoh Yusuke , Yoshiuchi Hironari , Murata Yoshio , Nakajo Hironori
Published: April 2020

For designing hardware with a high-level synthesis tool using a programming language such as C or Java, its large size of logic circuit makes it difficult to implement the design in a single FPGA. In such a case, partitioning the logic circuit and implementing in multiple FPGAs is a commonly used approach.
We propose the Scalable Hardware Mechanism, which enables the operation of a partitioned circuit to prevent the degradation of clock frequency by minimizing its dependence on the usage and the type of FPGA. Our mechanism provides a reduced delay by the collective signal transmission with the partitioned AES code generation circuit and the character string edit distance calculation circuit as partitioned circuits. The collective signal transmission has attained 1.27 times improvement in the speed for the AES code generation circuit and 3.16 times improvement for the character string edit distance calculation circuit compared with the circuit by the conventional method.
The Time Dimensional Measurability Aware FDE Based Analysis of Active Circuit in The Fractional Domain
Authors: Banchuin Rawid , Chaisricharoen Roungsan
Published: April 2020

In this research, the analysis of the active circuit in the fractional domain has been performed by using the fractional differential equation approach where themeasurability in time dimension of the derivative term has also been concerned unlike the previous work. The OTA-C filter has been adopted as the candidate active circuit due to its compactness and renown. The derivative term of the fractional differential equation which includes the fractional time component parameters for obtaining such time dimensional measurability, has been interpreted in Caputo sense and the analytical solution of such equation has been determined with the aid of Laplace transformation. With the obtained solution, the time dimensional measurability aware fractional derivative based circuit responses to various inputs have been determined, the circuit fractional time constant and other crucial time parameters has been determined and thetemporal behaviour of the circuit has been analysed in the fractional domain. The loci of the pole on W-plane has been determined and the stability analysis has also been presented. Moreover, we also mathematically proof that the OTA-C filter in the fractional domain can be electronically realized with time dimensionalmeasurability awareness by using the state of the art fractional capacitor.
Time Dimensional Consistency Aware Analysis of Voltage Mode and Current Mode Active Fractional Circuits
Authors: Banchuin Rawid , Chaisrichaoren Roungsan
Published: April 2020

In this research, the analysis of the active fractional circuits has been performed by using the fractional differential equation approach. Both voltage and current mode circuits have been taken into account.  The fractional time component parameters have been included in the derivative terms within the fractional differential equations. This is because the consistency in time dimension between the fractional derivative and the conventional one which is also related to the physical measurability, is concerned. The fractional derivatives have been interpreted in Caputo sense. The resulting analytical solutions of the time dimensional consistency aware fractional differential equations have been determined. We have found that the dimensional consistency between both sides of the equations of the solutions which cannot be achieved in the previous works, can be obtained. By applying different source terms to the obtained analytical solutions, the response of both voltage and current mode circuits have been determined and the behaviours of the circuits have been analysed. The fractional time constant and pole locations in the F-plane of these circuits have been determined. Their dynamic behaviours, stabilities have been analysed. Moreover, the discussion on circuit realizations with fractional capacitor has also been made.
Optimal Power Flow for Enhance TTC with Optimal Number of SVC by using Improved Hybrid TSSA
Authors: Chansareewittaya Suppakarn
Published: April 2020

In this paper, the hybrid tabu search and simulated annealing (TSSA) method are modified for improving. The main point of modification is to apply sine value into the value of the temperature of simulated annealing. This modification aims to reduce the disadvantage of the original hybrid TSSA. This disadvantage means the value of each parameter is only increased to the maximum value of the temperature of simulated annealing. The optimal number of flexible alternating current transmission system (FACTS) controller determining method is used to determine optimal number of FACTS. SVC is used as FACTS controller in this paper. The split search space method is integrated to manage search space of static var compensator (SVC) operating point. The allocations of SVCs are used to enhance total transfer capability (TTC). Test results on the IEEE 118-bus system and the practical Electricity Generating Authority of Thailand (EGAT) 58-bus system show that the proposed improved hybrid TSSA with optimal number determining method of SVC give higher TTC and less number of SVC than test results from evolutionary programming (EP) and original hybrid TSSA.
Watermarking in dot-diffusion halftones using adaptive class-matrix and error diffusion
Authors: Guo Jing-Ming , Seshathiri Sankarasrinivasan
Published: April 2020

Digital halftoning deals with transforming a gray or color image into its binary version which is useful in printing applications. Dot diffusion is one of the prominent halftone methods which can yield superior image quality with parallel processing capabilities. In this paper, a rapid watermarking algorithm is proposed for dot-diffusion halftone images using adaptive class-matrix selection and modified error diffusion kernels. To process the image using an adaptive class matrix, the processing order of the class matrix is reversed and transposed, and for error diffusion the coefficients are replaced with different weights. For decoding, an effective strategy is proposed based on a correlation analysis and halftone statistics. The proposed strategy can successfully embed and decode the binary watermark from a single dot-diffused halftone image. From the experimental results, the proposed method is found to be effective in terms of good decoding accuracy, imperceptibility and robustness against various printed distortions.
Identification of L-Theanine Acid Effectiveness in Oolong Tea on Human Brain Memorization and Meditation
Authors: Srimaharaj Wanus , Chaising Supansa , Temdee Punnarumol , Sittiprapaporn Phakkharawat , Chaisricharoen Roungsan
Published: April 2020

Oolong tea has an adequate amount of L-theanine acid, which can definitely affect human brain signal activity. Consequently, this study aimed to classify the effect level of L-theanine acid in Oolong tea relies on different participants focused on memorization and meditation state. An attention of the human brain was determined via electroencephalography (EEG) during the book reading state compared to not drinking and drinking conditions. To describe the memorization and meditation activity, this study focused on theta wave and alpha wave altogether. This properly measures a voltage fluctuation of these brain signals, as higher attention frequency indicated improving in mentioned state. Furthermore, Neural network performed the data classification of converted data in this study for high accuracy results. Each classified group was varied depending on the information of specified participants, i.e. gender, age, and body mass index (BMI). Obviously, several participants had a different effect level on L-theanine acid. Also, age, gender, and BMI of all participants were not totally affecting the effectiveness of L-theanine in this study. In conclusion, the results of this study represented that L-theanine in Oolong tea significantly affected the increasing of memorization and meditation. This result beneficially supports the production-proven of Oolong tea in the future apparently.
Economic Dispatch Using Modified Hybrid BA/ATS
Authors: Chansareewittaya Suppakarn
Published: April 2020

In this paper, a new modified algorithm is proposed. This modified algorithm is BA/ATS. The main modifications are including negative value into the main equation of the bee algorithm (BA) and integrating adaptive tabu search (ATS) into BA. BA/ATS aims to improve the performance of hybrid BA/TS. The economic dispatch (ED) is set as the main problem to solve with the proposed algorithm. The operation of each generator is limit by constraints. All test results indicate that the overall costs of operation when using the proposed algorithm are better than test results from other compared algorithms. This means the modified hybrid BA/ATS is a good algorithm for the solving the ED problem.
The GAP Model of e-Government Service in Thailand e-Tourism
Authors: Pongamponkaiwan Sudarat , Leelasantitham Adisorn
Published: April 2020

The objectives of this research were to develop service quality factors for Thailand’s e-Tourism provided by the government. This was done using Thai tourists as the samples who have used Thailand’s e-Tourism service to find out service quality using a total of 385 samples and determining the confidence level at 95 percent. The tool used for data collection was a service quality questionnaire for Thailand’s e-Tourism provided by the government. The confidence level for the whole research effort was 0.856 and the confidence level for each question was in the range 0.824-0.926. The statistics used in the data analysis included confidence test, frequency distribution, percentage, mean, standard deviation, coefficient of dispersion, skewness, kurtosis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA).
The results of the study showed that the exploratory factor analysis of the expectations and actual service received gave five factors (KMO = 0.789). Those indicators were not different from the theoretical models obtained from the confirmatory factor analysis. The five factors included 1) Tangibles, 2) Reliability, 3) Responsiveness, 4) Assurance, and 5) Empathy. The factors’ indicators are not different from the theoretical models. The researchers have modified the component of the second confirmatory factor analysis (S-CFA) model to check the construct validity of the scale after modifying the component and found Chi Square = 220.734, df = 165,     P = 0.002, Chi Square/df = 1.338, GFI = 0.913, AGFI = 0.878, CFI = 0.980, (RMR) = 0.018, and RMSEA = 0.040. This indicates that expectation for service, and actual service received, which affect user satisfaction, can create users’ loyalty. This results in the analytical model for the service quality component for Thailand’s e-Tourism provided by the government matching the empirical data
Emotion Classification System for Digital Music with a Cascaded Technique
Authors: Sorussa Kanawat , Choksuriwong Anant , Karnjanadecha Montri
Published: April 2020

Music selection is difficult without efficient organization based on metadata or tags, and one effective tag scheme is based on the emotion expressed by the music. However, manual annotation is labor intensive and unstable because the perception of music emotion varies from person to person. This paper presents an emotion classification system for digital music with a resolution of eight emotional classes. Russell’s emotion model was adopted as common ground for emotional annotation. The music information retrieval (MIR) toolbox was employed to extract acoustic features from audio files. The classification system utilized a supervised machine learning technique to recognize acoustic features and create predictive models. Four predictive models were proposed and compared. The models were composed by crossmatching two types of neural networks, i.e., Levenberg-Marquardt (LM) and resilient backpropagation (Rprop), with two types of structures: a traditional multiclass model and the cascaded structure of a binary-class model. The performance of each model was evaluated via the MediaEval Database for Emotional Analysis (DEAM) benchmark. The best result was achieved by the model trained with the cascaded Rprop neural network (accuracy of 89.5%). In addition, correlation coefficient analysis showed that timbre features were the most impactful for prediction. Our work offers an opportunity for a competitive advantage in music classification because only a few music providers currently tag music with emotional terms.
Analysis of the World Experience of Digital Transformation of Industry: Institutional Model
Authors: Zubritskaya I. A.
Published: April 2020

The article describes the world experience of implementation technical and technological means of the fourth industrial revolution in industry. The main practical approaches to the digital transformation of industry are systematized, the key trends of the existing mechanisms digital transformation of industrial production are highlighted. Based on the results of the analysis, an institutional model of the organizational and economic mechanism digital transformation of the manufacturing industryRepublicof Belarusis proposed.
Experience of Blended Learning in the Basics of Digital Electronics
Authors: Dolinsky M. S.
Published: April 2020

The article considers the practical experience of blended learning of students in the basics of digital electronics based on the use of the instrumental distance learning system DL.GSU.BY developed at the FranciskSkorinaGomelStateUniversity. There are described specialized tools for designing, modeling, debugging, and researching digital electronics devices developed specifically for learning the basics of digital electronics.
Monitoring of Educational Institutions Information Resources in the Republic of Belarus as a Tool for Implementing Policies in the Field of Export of Educational Services
Authors: Belsky A. B. , Lipovich A. V. , Moskalenko, A. P.
Published: April 2020

The article considers the issues of monitoring of the educational institutions official websites in the Republic of Belarus, beginning with the 2018 interms of its influence on the potential of services export in education. Special attention is paid to a state and development of information resources of higher education institutions. Regulatory legal acts and other documents forming a normative basis of monitoring are analyzed. The organization of monitoring processes of the education institutions websites is considered in the manual regime as well as using the  utomated information system for auditing education institutions information resources in the Republic of Belarus, assessment of their state and relevance is also considered (AIS Monitoring). The criteria for evaluation of the websites included in monitoring are presented and their comparison at the manual and automated way of realization is carried out. The analysis of monitoring results of the education institutions official websites in 2018 including that realized within trial operation of AIS Monitoring is produced. The correlation between the growth in the number of foreign students in higher education institutions and indicators for monitoring of information resources is assessed. The results of a quantitative assessment of the dependence of the growth rate of the number of foreign students at Belarusian universities on the level of compliance with the requirements for the informational content of official sites in terms of the list and cost of services provided in the form of a regression model are presented. Recommendations for further development and improvement of monitoring processes of information resources are formed.
Operation of Building Objects Based on the Informational Model
Authors: Borsuk E. V. , Davidovich A. S.
Published: April 2020

This article reviews and assesses the possibilities and features of the application of information modeling technology at such an important stage of work as the operation of a building. At present, it becomes more and more obvious that the most promising area of research in the field of managing socially significant processes, including the exploitation of buildings and structures, is undoubtedly the 3D modeling of objects, which provides truly unlimited possibilities in realistic representation of the surrounding world through 3D modeling. However, at the present stage this direction is still very rarely used in the CIS countries, and the possibilities of computer aided design systems are still underestimated, some of which are discussed in this article.
Artificial Neural Network in the CATS Training System
Authors: Popova Yu. V.
Published: April 2020

This paper presents a variant of using an artificial neural network (ANN) for adaptive learning. The main idea of using ANN is to apply it for a specific educational material, so that after completing the course or its separate topic, the student can determine, not only his level of knowledge, without the teacher’s participation, but also get some recommendations on what material needs to be studied further due to gaps in the studied issues. This approach allows you to build an individual learning trajectory, significantly reduce the time to study academic disciplines and improve the quality of the educational process. The training of an artificial neural network takes place according to the method of back propagation of an error. The developed ANN can be applied to study any academic discipline with a different number of topics and control questions. The research results are implemented and tested in the CATS adaptive training system. This system is the author's development.
Transformation of Management Technologies in the Digital Economy
Authors: Levchaev P. A. , Khezazna B.
Published: April 2020

The discussion issues of the digital economy and its corresponding tools and management technologies are studied, attention is paid to the current state of digital technologies, economic principles and provisions of formation and peculiarities of functioning, forecasts of the development of digitalization processes in society are made. Comparative study of classical views of management in the conditions of intensification of processes of digitization and building digital models of the world, the peculiarities of the influence of the control subsystem, presented various algorithms, features, and components of artificial intelligence to the control subsystem, namely, personnel, human resources, user groups, social groups. The conclusion is made about the cardinal change of management paradigm and depersonalization of highly effective processes of management of various focus groups by formalized and algorithmized teams of artificial intelligence.
The Evaluation of Innovative Susceptibility of Industrial Organizations of the Republic of Belarus
Authors: Yemelyanchenko Y. V.
Published: April 2020

The article is devoted to the evaluation of innovative susceptibility of industrial organizations of the Republic of Belarus for 2014–2018. The author proposes a system of indicators of innovative susceptibility of industrial organizations, on the basis of which the assessment is carried out. It is established that Belarusian industrial organizations over the past five years have taken a number of measures to develop their innovative susceptibility, but there are problems that need to be addressed. The factors hindering innovations in the industrial organizations of the country are revealed. The work uses general scientific methods of cognition of economic phenomena and processes (analysis and synthesis, a systematic approach, the dialectical method, etc.). The significance of the work lies in the fact that such an assessment is currently absent in scientific research.
The Formation and Development of the NIS of the Republic of Belarus: Results, Status, Prospects
Authors: Kosenko A. A.
Published: April 2020

The article discusses the issues of formation and development of the National Innovation System of the Republic of Belarus, highlights some problematic issues related to understanding the essence of NIS in society, the development of some of its elements. A number of practical steps are proposed aimed at increasing the efficiency of the functioning of the National Innovation System of the Republic of Belarus.
Justification of the need to Transform the Information Support of the Commercial Real Estate Market of the Republic of Belarus
Authors: Chyhryna A. I.
Published: April 2020

The article reveals the shortcomings of existing systems of information support for the commercial real estate market. We have studied the procedures for selecting information about commercial real estate objects, identified their shortcomings, which allowed us to justify the need to transform the current system of information support for the commercial real estate market of the Republic of Belarus. In order to improve the current information support system, it is proposed to achieve these objectives by combining existing databases of technical passports, an automated information system for assessing land in the Republic of Belarus, as well as an automated information system for maintaining the unified state register of real estate, rights to it and transactions with it, in the form of unified technical and economic passports of commercial real estate objects. The introduction of such a document will allow to raise management efficiency as the commercial real estate market segments, and specific commercial properties, to formalize the relationship between the subjects of the commercial property market, and will also act as the basis for increasing economic efficiency and investment attractiveness of commercial real estate market of the Republic of Belarus.
Development of Approaches to an Organizational and Functional Structure Creating of the Eurasian Economic Union Digital Transport Corridors Ecosystem
Authors: Miasnikova O. V. , Tabolich T. G.
Published: April 2020

The work is devoted to the problem of EAEU’s digital transport corridors ecosystem creating. The purpose of this article is to develop approaches to the organizational and functional structure forming of the digital transport corridors ecosystem and to identify the priorities for creating and saturating with services a National electronic transport and logistics system. The factors and conditions for the development of the international digital transport corridors and the basic developing principles of the organizational and functional scheme of their ecosystem are determined. The organizational and functional structure of the digital transport corridors ecosystem is proposed, the ecosystem's levels are described, the upper-level objectives of the ecosystem organization are determined. The author’s approach to the organization of national platform solutions in the field of transport is substantiated. Unlike the existing ones, it envisages the creation of a “Cluster” of digital platforms, both at the national and supranational levels of the ecosystem, ensuring a “seamless” integration of instrumental, infrastructure and applied digital platforms. Methodological issues of the digital platforms functionality designing for cooperation and coordination of the transportation process participants as well as state regulation have been solved. In the work, general scientific methods were used to cognize economic phenomena and processes (analysis and synthesis, a systematic approach, the dialectical method, methods of composition and decomposition of data, etc.). The main study results were systemic approaches to the organizational and functional structure formation of the digital transport corridors ecosystem, the methodology of the digital platform functionality designing and the methodology of developing services of the electronic logistics digital platform based on a map of the speed of development, significance and level of investment. The solutions to the problems of unification and interoperability of digital platforms are outlined. The using area of the proposed solutions: further creation of the National Electronic Transport and Logistics System in the Republic of Belarus, taking into account the development of the EAEU's digital transport corridors ecosystem.
Competition: Theoretical and Practical Aspects on the Example of the Republic of Belarus
Authors: Sinyak O. V.
Published: April 2020

The article considered the theoretical and practical examples of the Republic of Belarus on the development ofcompetition, the role of competition in the life of society is indicated. Definitions of the term «competition» are given. A brief description of the types of market structures is given: perfect competition, monopolistic competition, oligopoly, monopoly. The mechanism of development of competition in the Republic of Belarus at the present stage is considered, including through the creation of an antimonopoly structure, ifs goals, objectives, ongoing efforts to develop competition, adjust the regulatory framework, international experience, etc. The directions that promote competition have been identified: improving legislation, expanding the powers of the antimonopoly structure, further developing preventive institutions of antimonopoly regulation, advocating competition, developing exchange trading, etc. The development of competition is a tool to achieve the goals of social-economic development of the country.
Digitalization of Trade as a Factor of Development of Export Potential of the Republic of Belarus
Authors: Yurova N. V.
Published: April 2020

The purpose of the article is to show how the digitalization of trade can lead to the development of the export potential of the Republic of Belarus. The article discloses theoretical approaches to digitalization of trade as a combination of traditional and new digital models of interaction between buyer and seller. The author presents the volume, commodity and geographical structure of foreign trade of the Republic of Belarus, lists the priorities and identifies the main prospects for the development of exports using modern digital platforms and the emergence of new digital goods and services. The advantages of paperless trade and the need to implement the main provisions of National Strategy for Sustainable Socio-Economic Development of the Republic of Belarus are indicated. The author proposes the ways of development of the export potential of the Republic of Belarus witch based on an analysis of the processes of digital transformation of Belarusian trade.
Virtualization of Network infrastructure in Educational Institutions
Authors: Kochin V. P. , Vorotnitsky Yu. I. , Zherelo A. V.
Published: April 2020

The article discusses current issues of virtualization of the network infrastructure of educational institutions. The analysis of the literature on this issue. A new approach to creating a cloud virtualization environment for the educational institution’s network infrastructure is proposed, which is based on the joint use of virtualization technologies and software-defined networks. This approach allows you to unify the process of creating a network infrastructure, scale the resources provided on demand with minimal organizational and technical costs. The data processing center of the Belarusian State University has implemented a model that includes virtual network segments. Using virtualization technologies and software-defined networks allows you to unify the process of creating network infrastructure, scale the resources provided on demand with minimal organizational and technical costs, adapt the virtual infrastructure to the requirements of a particular educational institution.
Digital Transformation of Technological Design in the Preparation of Design Engineers: History and Prospects
Authors: Petukhov A. V.
Published: April 2020

Significant advances in the implementation of information technology in the educational process cannot occur on their own. Success in this area is ensured by many years of hard work aimed at a gradual transition from the use of traditional teaching methods to automated ones. This transition on the example of implementing a computeraided design of technological processes is considered. The stages of the formation of this activity are described, starting with systems based on SM EVM (СМ ЭВМ, abbreviation of Система Малых ЭВМ – literally System of Mini Computers. It was the general name for several types of Soviet minicomputers produced in the 1970s and 1980s) operating under the control of a real-time operating system, and ending with electronic complexes for information support of design and technological design based on PDM systems.
8.6. РАННЕЕ ПРЕДПРИНИМАТЕЛЬСТВО В ТРЕТЬЕМ ВОЗРАСТЕ
Authors: Pinkovetskaia I.S. , Pinkovetskaia I.S. , Pinkovetskaia I.S.
Published: April 2020

В связи с изменением пенсионного возраста в Российской Федерации значимость предпринимательства в третьем возрасте будет повышаться. Целью статьи является анализ особенностей, закономерностей и тенденций, которые характеризуют раннее предпринимательство населения в третьем возрасте. Создание своих бизнесов может использоваться гражданами для продления трудовой жизни, улучшения финансового положения по сравнению с наемным трудом, отсрочки выхода на пенсию. В статье представлен анализ литературы по проблеме ранней предпринимательской активности в экономически развитых странах.

Due to the change in the retirement age in Russia, the importance of entrepreneurship in the third age will increase. The purpose of the paper is to analyze the features, patterns and trends that characterize the early entrepreneurship of the population in the third age. The creation of their enterprises can be used by citizens to extend working life, improve the financial situation compared to wage labor, delay retirement. The paper presents an analysis of the literature on the problem of early entrepreneurial activity in economically developed countries.
5.6. ГОСУДАРСТВЕННАЯ ФИНАНСОВАЯ ПОДДЕРЖКА РАЗВИТИЯ СЕЛЬСКОГО ХОЗЯЙСТВА: ОЦЕНКА РАСХОДОВ И ПРОБЛЕМЫ
Authors: Sergienko N.S. , Sergienko N.S. , Sergienko N.S.
Published: April 2020

В научной статье рассматривается сформировавшийся опыт государственной финансовой поддержки, направленной на развитие сельского хозяйства. В работе на основе оценки расходов федерального бюджета на сельское хозяйство рассмотрены проблемы финансового обеспечения мер поддержки развития агропромышленного комплекса и полноты использования выделенных бюджетных ресурсов.

The article is devoted to the experience of state financial support aimed at the development of agriculture. The paper deals with the problems of financial support of measures to support the development of the agro-industrial complex and the completeness of the use of allocated budget resources.
2.3. КОНЦЕПЦИЯ УЧЕТА И ОТЧЕТНОСТИ ДВИЖЕНИЯ КАПИТАЛА В СОЦИАЛЬНО-ЭКОНОМИЧЕСКОМ РАЗВИТИИ: ИНСТИТУЦИОНАЛЬНЫЙ ПОДХОД
Authors: Enus S.
Published: April 2020

In the context of sustainable development, studies of the evolution and modern concepts of accounting and capital flows are becoming relevant. In the anthology of the modern concept of capital, its characteristic is fixed , revealing capital as a stock of economic goods accumulated through savings in the form of money and real capital goods . The owner of capital always expects future income from the capital involved in economic systems in the conditions of alternative estimates formed under the factors of opportunities and risks.

В условиях устойчивого развития актуальными становятся исследования эволюции и современных концепций учета и движения капитала. В онтологии современной концепции капитала закрепляется его характеристика, раскрывающая капитал как накопленный путем сбережений запас экономических благ в форме денежных средств и реальных капитальных товаров. Собственник капитала всегда ожидает будущего дохода от вовлеченного капитала в экономические системы в условиях альтернативных оценок, формирующихся под факторами возможностей и рисков.
PERİNATAL ALANDA ÇALIŞAN SAĞLIK BAKIM PROFESYONELLERİNDE ŞEFKAT YORGUNLUĞU: BAKIMIN BEDELİ
Authors: BOZ İlkay , Özkan Şule
Published: April 2020

Şefkat, bakım alan ile gerçek bir iletişim, insan-insan arasındaki ilişki ve etkileşimi kapsamaktadır. Şefkat yorgunluğu-bakımın bedeli, hastalarla uzun süreli, sürekli ve yoğun temas, kendini kullanma ve strese maruz kalmanın yol açtığı bir süreç olarak tanımlanmaktadır. Bu makalenin amacı perinatoloji alanında çalışan sağlık bakım profesyonellerinde şefkat yorgunluğu ile ilgili yapılan çalışmaların analiz edilmesiyle farkındalık yaratmaktır. Bu amaçla öncelikle mesleki yaşam kalitesi, şefkat, şefkat memnuniyeti ve yorgunluğu, ikincil travmatik stres ile tükenmişlik olmak üzere ilgili kavramların açıklaştırılması önemlidir. Yapılan çalışmalarda perinatal alanda çalışan sağlık bakım profesyonellerinin şefkat yorgunluğu, ikincil stres ve tükenmişlik açısından orta derecede risk altında olduğu anlaşılmaktadır. Perinatal alanda sağlık bakım kalitesini arttırmak için mesleki yaşam kalitesinin sürdürülmesi önemlidir. Ülkemizde bu alanda çalışan sağlık bakım profesyonellerinin şefkat yorgunluğu ve memnuniyet düzeylerinin ve risk gruplarının nicel çalışmalarla ortaya çıkarılması, nitel çalışmalarla yaşanılan deneyimlerin derinlemesine anlaşılması önerilmektedir.
HİPEREMEZİS GRAVİDARUMDA ÖNEMLİ BİR NOKTA: D VİTAMİNİ VE TİROİD FONKSİYONLARI
Authors: ÇELİK Samettin , SOYER Canan , GÜVEY Huri , YAŞAR Burak , YAZICIOĞLU Bahadır , TÜRE Eda , ULUBAŞOĞLU Hasan
Published: April 2020

Amaç: Hiperemezis gravidarum ketonüri ile birlikte günden 3 defadan fazla kusma, sıvı elektrolit, asit-baz dengesizliği, beslenme bozukluğu ve kilo kaybına neden olan bir durumdur. Altta yatan çeşitli sebepleri olmakla birlikte tiroid fonksiyonlarındaki değişim ve vitamin D’nin de etyolojide rol oynadığı düşünülmektedir. Biz de çalışmamızda hiperemezisteki immün mekanizmalar üzerindeki D vitaminin rolünü ve tiroid fonksiyonlarının etkisini incelemeyi amaçladık.

Gereç ve Yöntem: Çalışmamıza 2017 Ocak -2018 Temmuz ayları arasında Samsun Kadın Hastalıkları ve Doğum Hastanesi ve Sağlık Bilimleri Üniversitesi Samsun Eğitim ve Araştırma Hastanesi Kadın Hastalıkları ve Doğum Bölümü’ne başvuran hiperemezis gravidarum olan 132 ve vaka grubuyla benzer özelliklere sahip sağlıklı 233 gebe dahil edildi. Bu gebelerin TSH,T3,T4 ve vitamin D düzeyleri retrospektif olarak değerlendirildi.

Bulgular: Çalışma sonuçlarımıza göre D vitamini seviyeleri hiperemezis gravidarum olan hastalarda anlamlı olarak daha düşük saptanmıştır (p=0.001; p<0.01). Ayrıca hiperemezis gravidarum görülen olguların TSH ölçümleri (p=0.028; p<0.05) ve T3 değerleri daha düşük (p=0.001; p<0.01), T4 değerleri ise daha yüksek (p=0.001; p<0.01) olarak saptanmıştır. İdarda keton düzeylerine göre olguların T3, T4, TSH ölçümleri istatistiksel olarak anlamlı farklılık göstermemektedir (p>0.05). Yapılan ikili karşılaştırma sonuçlarına göre; keton düzeyi pozitif (+) olan olguların D vitamini ölçümleri, keton düzeyi pozitif (++) ve pozitif (+++) olan olgulardan daha yüksektir (sırasıyla p=0.022; p=0.001; p<0.05). Keton düzeyi pozitif (++) ve pozitif (+++) olanların olguların D vitamini ölçümleri arasında istatistiksel olarak anlamlı farklılık saptanmamıştır (p>0.05).

Sonuç: Çalışmamızın sonuçlarında D vitamini eksikliğinin hiperemezis gravidarum ile bağlantılı olduğu bulgusuna ulaştık. Ayrıca hipermezis gravidarum olan bir hastayı değerlendirirken geçici gestasyonel hipertiroidizm tablosunu akılda tutmakta ve tedaviyi buna göre düzenlemekte yarar vardır.