bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of the control signal on parameters of low impedance injectors for SI engines
Authors: Mihaylov V , Ivanov Z , Mersinkov H , Stoyanov S , Wrobel R 
Published: February 2021

Abstract
There is high variety of injectors for spark ignited (SI) engines, especially those fitted with additional aftermarket LPG/CNG fuel system. The tendency is for using injectors with lower electrical resistance, because of the faster opening time. But this rise some difficulties, one of which is the higher current, that pass through injector’s coil. One of the most used method to counter fight that is using special control signal. Experiments are conducted with varying parameters of the control signal and its influence over current through the coil, temperature, injector’s opening and closing time. Results show that not only less current and heating of the coil but also faster operating speed of the injector itself can be achieved, as the modulation of the pulse affects mainly the closing time of the valve needle.
Adaptation of a system for pattern design of twist knot draperies for knitted fabrics
Authors: Peneva Tanya , Kazlacheva Zlatina , Ilieva Julieta 
Published: February 2021

Abstract
The paper presents an investigation of pattern making of twist knot drape clothes from knitted fabrics with aim systematization of pattern design on the base of searching for a mathematical dependence between the knot diameter and the widths of the draped pieces in the place of twist. The study is an adaptation of an investigation of development of a system for pattern design of twist knot draperies, made from woven fabrics, for knitted ones. The full systemization of the geometrical constructional approach of pattern making of twist knot drape clothes from knitted fabrics is result of obtaining of dependence between the knot diameter and the widths of the draped pieces in the place of twist on the base of a linear regression. The systemized approach provides easy and correct pattern design with various sizes of the diameter of knot and the width of draped parts. It facilitates the process of fashion design and pattern making and gives possibility for new creative ideas and variety of designs of twist knot drape clothing from knitted fabrics.
Rationale for the development of the design of a microwave installation for cleaning wool yarn in the conditions of modern textile enterprises
Authors: Pryvala Sergei , Pryvala Valeriy 
Published: February 2021

Abstract
In the conditions of fierce competition in the world market of textile materials the important factor is optimization of process of fabrics production. Textiles must be of high quality, inexpensive and competitive. This concept is more or less adhered to by manufacturers of woven materials made of synthetic fibers, which are outwardly attractive and inexpensive. According to the last year’s statistics, the dominant raw material in the production of fibrous materials is polyester. Its share in the world market is several times higher than the share of its closest competitor - wool. However, the cost of textiles based on wool fibers, taking into account its important performance properties, can not be cheap. Sewing products made of woolen materials are always in the trend of modern fashion. Coats, suits, dresses, sweaters, sweaters, blankets, plaids - these are products for the manufacture of which woolen fabrics of various thicknesses, compositions and finishes are traditionally used. Thus, the issue of reducing the cost of textile production technology from wool yarn is relevant for domestic textile enterprises located in Chernihiv, Kryvyi Rih, Odessa, Sumy. However, modern wool cleaning technology remains multi-stage and energy consuming, which affects the quality and final cost of production [1]. Therefore, the purpose of research is to create energy-saving technology for wool cleaning through the use of ultra-high frequency electromagnetic field (UHF) at textile enterprises.
“CloStyler” – mobile application to calculate the parameters of clothing blocks
Authors: Zakharkevich Oksana , Poluchovich Iryna , Kuleshova Svetlana , Koshevko Juliya , Shvets Galyna , Shvets Alexander 
Published: February 2021

Abstract
Due to the COVID19 pandemic that challenged our society with necessity of distance learning it is right to provide educational institutions with tools those would be accessible anytime and anyplace for students. The aim of the current research is to develop an app that will support students studying apparel design as well as their teachers. The prototyping method was used to explore aspects of an intended design of the app. The method of semantic differential was used in order to evaluate the prototype. Comparative analysis of the already existing apps and the developed one was used to determine the level of the app competitiveness. The mobile app “CloStyler” was developed by using MIT App Inventor. Using the app allows achieving the labor productivity growth up to 568.5 %. The reduction of time costs is 29.4-85.0 %. By means of the comparative analysis of the apps those are already on the market and the developed app “CloStylef” it was determined that “CloStyler” is better suited and better equipped for the task of computing the parameters of the basic blocks of clothing.
Analysis of the smart clothing technologies in dance costume designing
Authors: Poluchovich Iryna , Zakharkevich Oksana , Kuleshova Svetlana , Koshevko Juliya , Shvets Galina , Shvets Alexander 
Published: February 2021

Abstract
In past decade fashion world as well as world of technologies is more and more filling with smart clothing. Increasing aesthetic by use of smart clothing technology is vital when designing a dance costume. Available works on the question are dedicated to either designing and wearing of dance costumes or smart clothing itself with no regard to dance costumes. The aim of the current study is to systemise smart clothing technologies those might be used for dance costumes to provide the ability to change visual characteristics by using mobile app. Statistical analysis was applied to investigate the specifics of the smart clothing range and its interactions with mobile apps. The method of prototyping was used to assess the necessity of providing the smart clothing item with specific mobile app. A dance costume was designed on basis of light emitting diode technology. The assessment was done by members of dance teams. It was determined that mobile app would be more suitable way to manage light modes of costumes due to the fact that smartphones are usually carried around and remote controls are not. The app will provide more competitiveness of the clothing as well as insure comfort of a dancer.
Method of historical pattern analyzing
Authors: Zhang S C , Kuzmichev V E 
Published: February 2021

Abstract
Simulation of historical costume requires digitalization of pattern block. This research developed the method of reconstruction of historical men’s coat by parameterized pattern blocks and CAD. The method includes three steps. Firstly, to collect the information about historical body measurements, drafting systems of patterns, clothing construction, methods of production and shaping, etc. Second step is the digitalization of patterns. Thirdly, to extract the body measurements and the ease allowance from pattern blocks. Fourthly, the calculation of shaping techniques values. Finally step includes the virtual reconstruction of costume. The database containing the historical pattern blocks, the manuals of drafting methods, the parameters of pattern, the body measurements, the eases of 47 historical men’s coat, and the values of shaping methods was established. Data base allows to calculate hided body measurements from patterns and to reconstruct of historical men’s coat with high accuracy in virtual reality.
Embedded system environment self-awareness using LIDAR technologies for robotics applications
Authors: Bogdanov S G , Chikurtev D S , Spasova N R 
Published: February 2021

Abstract
LIDAR technology is a major part of autonomous robots. That technology provides the necessary data for autonomous navigation, localization, surface scanning and obstacle detection. This paper presents a modular embedded system architecture, which is a part of a self-sufficient AI. The LIDAR software module of the proposed system is described. That module will provide 2D information about the surrounding environment. It is developed like a loadable module with options for self-compiling in the system. This research is the first step of self-awareness embedded system. In addition, we illustrate the application of the module in localization and navigation of mobile robots. The results achieved show that the developed software module is applicable for robotics localization and navigation.
Research on N-grams feature selection methods for text classification
Authors: Georgieva-Trifonova Tsvetanka , Duraku Mahmut 
Published: February 2021

Abstract
Text classification requires previously extraction of features describing the text documents in the collection. Usually these features are based on the occurrence frequency of words, N-grams of words in documents, i.e. the vector space model for document representation is built. Feature selection allows to reduce redundancy in high-dimensional representation of text data, which can significantly improve text classification performance. In the present paper, research on feature selection methods is performed in terms of the accuracy and F-measure of text classification with different number of selected attributes (N-grams of words) for different classifiers and different datasets. The obtained results can be used to apply further pre-processing steps, which include modifying the vector space model in order to achieve its improvement in terms of the text classification.
A Computer-Based Simulation Showing Balance of the Population of Predator and Prey and the Effects of Human Intervention
Authors: Kumar Ankit , Jani Kunal , Khatri Divyansh , Patel Hrishitva , Sharma Aditya Kumar , Sahu Nabin Kumar 
Published: February 2021

Abstract
In this paper, a computer-based simulation of the predator-prey model has been proposed. The prey is a source of food for the predator, which is necessary for the prey’s survival. Various models, such as the Lotka-Volterra model and the cellular automata model, have been used to simulate predator and prey movement in a population. These methods have been discussed briefly. The limitations of both these methods have been highlighted. After discussing the limitations of both these methods, a novel computer-based simulation has been proposed to address the previous models’ limitations. Since this model takes into account a more realistic movement of predator and prey, it has been used to study the harmful effects of human intervention on the environment. In this simulation, the birth of predators and prey by mating, the death of predators and prey due to starvation, and the death of prey due to attacks from predators are taken into consideration. In the first case, there is no human intervention. In the next two cases, human intervention is taken into consideration. In one case, the proportion of predators in the population increases, and in the other case, the prey population increases. A comparison has been made between all three cases, and a study has been done showing how human intervention affects the population of predators and prey over a long time.
Graphical simulation of functions
Authors: Shivacheva G I , Yankov K B 
Published: February 2021

Abstract
In scientific research, it is normal practice to arrive at a description of the analyzed process with the function of one independent variable and the participation of several parameters, which are also assumed to be independent quantities, but in the study they have relatively constant values. These parameters are usually used to adjust the process, ie when choosing their specific values, the process meets the requirements of the researcher for optimality according to pre-selected criteria. The present work aims to develop a graphical user interface for managing parameters involved in an analytically presented function. The possibilities of the Korelia program for function research are considered. The function is entered as a string. After the lexical and syntactic analysis, a table of identifiers and an reverse polish notation of the function are formed. By modifying the values of the parameters of the function, the user tracks the changes in its graph. In this way, the role of each of them can be assessed.
Clustering of Red/White Wine and Allergen/Non-Allergen Data Sets by Using Descriptor Fingerprints
Authors: Stoyanov B P , Dimitrov I E , Doytchinova I A , Bangov I P 
Published: February 2021

Abstract
An application of the descriptor fingerprints in relation to a clustering procedure of red and white wines and food allergen/non-allergens has been studied. The clustering method is based on a procedure using the Tanimoto similarity index. Different threshold values have been employed in order a best set of clusters to be obtained. It was shown that this procedure produces quite good discrimination between the red and white wines, but any correlation with the human sensation tastes (represented by a scale from 1 to 10) is more difficult to be obtained. The results from 4212 food allergens/non-allergens show a much better discrimination of those two groups starting from threshold value=0.5.
Predicting the day of storage of dairy products by data combination
Authors: Vasilev M D , Shivacheva G I , Krastev K I 
Published: February 2021

Abstract
Existing methods for tracking changes in the quality of dairy products are characterized by difficulty, time consuming, a large number of calculation procedures and resources, which makes them unsuitable for “on-line” monitoring. In the present work, feature vectors containing color components, spectral indices and physicochemical parameters of the products are used. Methods for selection of informative features based on consistently improving assessments have been applied. Models by principal components and latent variables are derived. It has been proven that the models are adequate and can be used to predict the day of storage of yellow cheese and white brined cheese. The advantage of the proposed data processing procedures, comparing them with those reported in the available literature, is that they require less computational resources, which makes them suitable for use in “on-line” monitoring of the condition of dairy products during storage.
Numerical calculation of multidimensional integrals depended on input information about the function in mathematical modelling of technical and economic processes
Authors: Nechuiviter O P , Iarmosh O V , Kovalchuk K H 
Published: February 2021

Abstract
The object of study is a numerical integration of the functions of several variables using new information operators. The cubature formulas of the approximate calculation of double and triple integrals for different information operators are presented. Information about function is given not only by the values of a function in nodes, but also as a set of traces of a function on planes or as a set of traces of a function on lines. Attention is paid to the application of such approximate calculation of integrals in various fields of science.
Adapting a method for tracking the movement of the camera in the visualization of augmented reality
Authors: Galabov Miroslav , Pastarmov Yulian 
Published: February 2021

Abstract
This paper presents an adapted method for tracking camera motion in the visualization of augmented reality. A tracking algorithm based on significant points and descriptors without the use of optical flow is described. The tracking module is written in C++. Experiments have been carried out of the precision of the system using the camera motion-tracking module created.
Model of a personal guide for museum exhibitions
Authors: Trankov Miroslav , Hadzhikolev Emil , Hadzhikoleva Stanka 
Published: February 2021

Abstract
Cultural and historical institutions in Bulgaria are often underfunded and do not provide sufficiently attractive digital services. All museums develop and maintain scientific passports of cultural artefacts, which contain photographs and specific characteristics of the exhibits. In some cases, they store digitized information in accordance with established standards for the digitization of cultural heritage, such as Dublin Core, SPECTRUM, LIDO, CCO, etc. The widespread use of smartphones provides museums with the opportunity to expand the museum service by dynamically and automatically delivering contextual information about the artifacts. The article presents an approach to creating a personal guide for museum exhibitions, which uses beacon technology to automate the process of providing contextual information about museum exhibits to its visitors.
Criteria for selection of statistical data processing software
Authors: Yordanova Lina , Kiryakova Gabriela , Veleva Petya , Angelova Nadezhda , Yordanova Antoaneta 
Published: February 2021

AbstractThere are many statistical software packages that automate the activities related to statistical data processing and visualization of results. Often the choice of a statistical package by consumers is a difficult process and it is necessary to compare different products in order to highlight the most appropriate. The selection of one or another statistical package should be based on clear criteria and be made in accordance with the objectives set by the researchers. In the present work, the criteria for comparing statistical packages are systematized into the three groups and applied to four packages.
Explore the possibilities for objective assessment of some beer quality indicators
Authors: Gabrova R , Danev A , Ganchovska V , Andreeva H 
Published: February 2021

Abstract
The aim of this research is to develop an appropriate experimental setting and to explore the possibilities for objective automatic and express assessment of some appearance indicators of beer quality using computer vision techniques. The goal of the research will be achieved by developing a computer vision system, including a hardware module for obtaining primary information and a software module for processing primary information and extracting the desired characteristics through algorithms based on adapted image processing methods.
Predicting soil moisture based on the color of the leaves using data mining and machine learning techniques
Authors: Atanasov S S 
Published: February 2021

AbstractThis research article’s aim is by using data mining and finding a suitable machine learning algorithm (MLA) to predict soil moisture, therefore the need for watering. Prediction is based on a training data set (including color RGB values taken from the leaves and values for soil moisture and soil temperature). A classifier is trained first, on its base a model is created and stored. Finally, with a different test data set, the efficiency of the selected model is checked. The object of study is the color of leaves of indeterminate greenhouse tomato plants of the Panekra variety. According to preliminary assumptions, the most informative about the need for watering are the young leaves (on top of the plant). Among the wide variety of data mining tools, we chose Weka Workbench. The last task of this study is to compare received with the methods of machine learning model and the model obtained in a previous study. For greater completeness of this research, the training of the classifier has been performed both with the whole training data set and with smaller data sets filtered by certain criteria (young/old leaves, etc.). The ultimate goal is water-saving and optimizing watering and water using. The resulting model is efficient and predicts soil moisture based on the color of the young leaves with 0-5% error, and by 8-12%, based on the color of the old ones, before watering, taking into account the influence of soil temperature into the model.
Analysis of energy efficiency of an industrial system
Authors: Ivanov Krasimir , Georgieva Nely , Tasheva Stanislava , Gandova Vanya 
Published: February 2021

Abstract
Survey energy efficiency of an industrial system was done. On the base energy audit, the consumption of energy and water was made analyse. On the following audit, there were made choices of energy saving measures, which would lead to proving and economy of energy in the industrial system and condition to work. The ultimate and primary energy savings for the industrial system, as well as CO2 emissions, were determined.
Influence of the price of electricity for the industry on the consumption in the economic sector in Bulgaria
Authors: Yotov Kostadin , Hadzhikolev Emil , Hadzhikoleva Stanka 
Published: February 2021

Abstract
Forecasting electricity consumption is extremely important for the planning and management of a country’s electricity system. It is an important factor for the effective planning of the production facilities operation, the future exports or imports, the behavior and direction of energy flows both in the country and in the connected international networks. Electricity consumption depends on many macroeconomic and demographic indicators, social parameters, climate conditions, etc. Their study and prediction with standard mathematical methods is a complex task. The article presents a study conducted using one of the most popular artificial intelligence techniques, namely – neural networks. Two models of neural networks have been created. One models the changes in the price of electricity, and the second – the dynamics of electricity consumption depending on its price.
Characteristics and rheological properties of ammonium oxalate extracted rosehip pectin
Authors: Taneva I , Petkova N , Krystyjan M 
Published: February 2021

Abstract
Rosehip fruits are an abundant source of bioactive compounds with enormous application in food technology, because of its nutritional and healthy properties. However, isolation and characterization of rosehip pectin remained challenges, because its properties depend on extraction procedure. Therefore, this study aims to evaluate the characteristics of ammonium oxalate-extracted rosehip pectin and its rheological behavior. Dried rosehip fruits (cultivar Plovdiv 1) were used for alcohol-insoluble solids (AIS) preparation. Rosehip pectin was extracted from AIS using 0.5% aqueous ammonium oxalate. The obtained polysaccharide was characterized with a degree of esterification 68%, degree of acetylation 1.0%, anhydrouronic acid content 87% and yield 13%. FTIR spectrum confirmed the pectin structure with typical bands, especially in finger print region showing the presence of α-(1→4)-bond between the galacturonic acid units. To the best of our knowledge, some physicochemical properties of rosehip pectin were evaluated for the first time. The rheological studies showed the non-Newtonian, shear-thinning and weak thixotropic behavior. The rosehip pectin demonstrated good swelling properties (22 ml/g), higher water holding capacity (6.04 g water/g sample), than oil-holding capacity (2.44 g oil/g sample). The obtained results highlighted that rosehips are rich in pectin with valuable rheological properties, revealing their potential use in food technology.