bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Hybrid Model Predictive Control (Hybrid-MPC) to Microgrid with High Penetration of Renewable Energy
Authors: Liu Zhichao , Deng Changhong , Chen Yahong 
Published: October 2019

Abstract
Owing to the cumulative impacts of stochastic forecast errors (SFE) of renewable energy generation, energy storage system (ESS) may be forced to quit operation owing to SOC (state of charge) deviation. Aimed at solving this problem, an online hybrid model predictive control (Hybrid-MPC) based strategy is proposed. Hybrid-MPC consists of two hierarchies: one is decreasing horizon rolling optimization which is specially for handling small SFE and the other is heuristic cooperative control which is designed to tackle large SFE. Besides, feedback correction is applied to deal with SOC deviation and maintain the normal operation of ESS. The strategy is tested in a self-developed program MG-ROS. Results demonstrate the effectiveness of the proposed strategy.
Analysis of Lignite Character in Inner Mongolia China
Authors: Chen X Y , Zhang Y F , Zhou Q 
Published: October 2019

Abstract
The character of indigenous lignite was measured by proximate analysis, ultimate analysis, coal ash analysis, coal true relative density, specific area.et al. The results showed that the internal moisture content is 8-9%, volat ile matter content is more than 45%, the oxygen content is above 20% while the sulphur content less than 0.5%.The main ash content is SiO2 and Al2O3, ash fusion point is above 1200 degree centigrade. The calorific value is between 12∼19MJ/kg. Macropore and mesopore is the pattern in the lignite.
Optimal selection of feed electric drives for boring machines
Authors: Zhilevski M , Mikhov M 
Published: October 2019

Abstract
In this paper are analyzed and formulated the main requirements for the drive systems of a class of modernized boring machines with digital program control. On this basis, a methodology for optimal selection of feed drives is offered. The respective algorithm takes into account the specific features of the technological process, the treated material, the tools used and their wear, the mechanical gears types and the guides. Concrete examples with DC and AC electric drives are presented, illustrating the practical application of the methodology. The research held as well as the results obtained can be used in the development of such electric drives for the studied class of machine tools with digital program control.
Embedded Walking Algorithm for Biped Humanoid Robot with 17 Degrees-of-Freedom
Authors: Sherif Sherif , Kralev Jordan , Slavov Tsonyo , Kunchev Veselin 
Published: October 2019

Abstract
The realization of the control algorithm consists of two main stages: planning of a joint coordination sequence and implementation of an embedded walking algorithm in the Arduino Mega 2560 hardware platform. The joint coordination sequence consists of 13 steps in order for the humanoid robot to move forward without falling. The embedded walking algorithm is realized around the operating points of the servo motors. The software is developed in Arduino IDE in C language.
Assessment of bias removal techniques used in case of sensor parametric modelling
Authors: Nikovski Pl 
Published: October 2019

AbstractThe study assesses how two techniques for bias removing influence the parameterization of a humidity sensor model with known structure. Experimental data consist of SHT 31-DIS sensor responses to a step change of humidity from 12 %RH to 65 %RH. The test performed after parameter estimation shows that the time-series subtraction unbiased method produces a model with a better coefficient of determination. This and other results obtained are useful when a data pre-processing for black-box modelling of humidity sensors is used.
Algorithm development with LoRaWAN for monitoring system
Authors: Penkov Stoitcho , Taneva Albena 
Published: October 2019

Abstract
This article presents the developed algorithm with LoRa specification. Based on it is achieved LoRaWAN for monitoring application in industrial systems. There is no universal solution for using LoRa Media Access, in such cases. The combination of low power hardware and radio communication is an advantage of the work. The developed algorithm ensures a new and modern network structure for monitoring in control systems. The real time observation is conducted in TTN. The experiments verified the algorithm applicability in the frame of systems of new digital industry.
Process model as a basis for intellectual control in real time by the processes of the production enterprise
Authors: Novikova O , Kotsyubinsky A , Yudina N , Livshits S , Dunaeva T 
Published: October 2019

Abstract
Modern enterprises are working in a complex and volatile business environment. In order to adapt to this situation, enterprises are trying to realize horizontal and vertical integration of the enterprise processes (managerial and production processes) leading to the creation of a real-time enterprise. In such an enterprise, integral data is used with different time horizons, starting from the millisecond, generated by automatic devices, and ending with daily, generated business applications. However, these integral data are rarely used for operational management of time by enterprise processes of the enterprise. To overcome this limitation, a process model for identifying and assimilating knowledge is proposed that encompasses four steps: (i) analyzing and (re-designing the enterprise’s controlled processes, (ii) developing a data model and enterprise data flow diagrams for automatic devices and business applications, (iii) identification of knowledge based on the discovery of knowledge in working with databases, (iv) continuous monitoring and management of enterprise processes, using complex event processing.
Development of Algorithms and Software for Automatic Pedestrian Recognition for Intelligent Situation Control Systems
Authors: Abramov N , Rakova V , Barinov D , Leksashov A , Pridanova E 
Published: October 2019

Abstract
The article is devoted to the development of algorithms and software that automatically recognize road users - pedestrians, build their trajectory according to the analysis of the video stream. The architecture of the system for pedestrian recognition and inter-frame tracking is proposed. The developed algorithms can be used to estimate road situation with participation of pedestrians for the traffic monitor systems.
Comparative Review of Cross-Domain Generative Adversarial Networks
Authors: Zeno B , Kalinovskiy I , Matveev Yu 
Published: October 2019

Abstract
This paper provides the comparative analysis between two recent image-to-image translation models that based on Generative Adversarial Networks. The first one is UNIT which consists of coupled GANs and variational autoencoders (VAEs) with shared-latent space, and the second one is Star-GAN which contains a single GAN model. Given training data from two different domains from dataset CelebA, these two models learn translation task in two directions. The term domain denotes as a set of images sharing the same attribute value. So, the attributes that are prepared: eye glasses, blond hair, beard, smiling and age. Five UNIT models are trained separately, while only one Star-GAN model is trained. For evaluation, we conduct some experiments and provide a quantitative comparison using direct metric GAM (Generative Adversarial Metric) to quantify the ability of generalization and the ability of generating photorealistic photos. The experimental results show the superiority of cross-model UNIT over multi-model StarGAN on generating age and eye glasses attributes, and the equivalent performance to synthesize other attributes.
Sputtering of Ga-doped ZnO nanocoatings on silicon for piezoelectric transducers
Authors: Aleksandrova M , Tsanev T , Dobrikov G , Kolev G , Sophocleous M , Georgiou J , Denishev K 
Published: October 2019

Abstract
In this study, lead-free, piezoelectric devices were fabricated by vacuum radiofrequency (RF) sputtering of Ga–doped, ZnO (GZO) nanocoatings at different deposition modes on silicon substrates. Several deposition rates were varied (2 to 16 nm/min) by tuning the sputtering voltage and pressure, in order to control the microstructure and surface morphology of the films. The dependences of the piezoelectric properties of GZO thin films on the different deposition conditions were investigated. Significant dependency of the films’ microstructure and surface roughness was observed to the deposition modes used for fabrication. The results showed that after optimization, the surface roughness of the films grown using sputtering voltage 1.1 kV and Ar=2.5.10−2 Torr, is 6 nm. Films with such microstructures are characterized with crystallites orientation (002) and exhibit the highest piezoelectric coefficient of 96.3 pC/m, which is superior compared to other known, lead-free, piezoelectric materials. A simple, membrane–based, vibration sensor was fabricated at the optimal set of conditions to demonstrate the functionality of the coating in a real microelectromechanical (MEMS) device. The working range of the device is between 2 and 800 g and the piezoelectric voltage generated after minimum deformation of 5.4 nm (2g), was 9.66 mV.
Primary analytical model for determining the electron temperature of a CuBr laser
Authors: Gocheva-Ilieva S G , Iliev I P , Fidanov D V 
Published: October 2019

Abstract
A family of copper bromide metal vapor lasers used as brightness amplifiers in recently developed optical systems is considered. One of the main problems of this area is to investigate the basic amplification characteristics of the laser medium. In this study, a simplified mathematical model is developed based on the one-dimensional stationary equation for determining the electron temperature of the discharge. The proposed model allows to calculate the radial distribution of the electron temperature of the discharge by taking into account the radial distribution of the supplied electric power. Computer simulations are run to investigate the dependence of electron energy as a function of the electrical power supplied to the gas discharge tube. The natural limits of this process are specified.
Analysis of the influence of some factors on the contact resistance of bolted busbar connections
Authors: Hadzhiev Ivan , Malamov Dian , Balabozov Iosko , Yatchev Ivan 
Published: October 2019

Abstract
The paper presents an experimental setup and a method for determining the contact resistance between busbars at a given contact force. Experiments have been conducted by means of an experimental setup, developed for the purpose of studying the influence of the contact force on the contact resistance between busbars with cross-sectional area of 60x6 mm. The study has been performed for two types of bolted connections, complying with DIN 43673, which have been studied for both copper and aluminum busbars.
Application of silver antibacterial nanolayers for hard contact lenses coating
Authors: Koev Krassimir , Donkov Nikolay , Stankova Nadya , Najdenski Hristo , Nurgaliev Timerfayaz , Nikov Rumen , Avramov Latchezar 
Published: October 2019

Abstract
The antibacterial action of Ag-doped Al2O3 nanolayers, deposited by RF reactive magnetron sputtering on hard contact lenses, was established. Synthesis of Ag/Al2O3 protective coatings is necessary for suppressing the infections caused by pathogenic microorganisms following the placement of hard contact lenses. The chemical composition, morphology and optical properties of the coatings were studied. Microbiological studies conducted of the nanocomposite Ag/Al2O3 layers against Gram-positive and Gram-negative bacteria (Pseudomonas aeruginosa, Escherichia coli, and Staphylococcus aureus) proved their antibacterial effects. Intense action of the layers was found against Pseudomonas aeruginosa - full inactivation after 2 hours; Escherichia coli - full inactivation after 5 hours; Staphylococcus aureus – full inactivation after 24 hours. Our experimental findings suggest a very promising application of such antibacterial Ag/Al2O3 nanolayers regarding the reduction of eye infections when the hard contact lenses are used.
Development of decision algorithms in the driver fatigue monitoring and prediction system based on a wireless multisensor device
Authors: Vasiliev A , Martiusheva N , Boykov A , Vyatkin N , Nikitin K 
Published: October 2019

Abstract
This paper presents the system for the continuous monitoring of the physiological state of the vehicle driver. The developed system allows to make adequate decisions and forecast the situation on the basis of the driver fatigue monitoring data. Identification of drowsiness, state if carried out on the basis of blinking duration and frequency analysis. The neural network is used to detect blinking patterns. Signal acquisition and processing are performed on the wearable multisensor microcontroller-based device.
Financial investments by Portfolio optimization
Authors: Stoilov Todor , Stoilova Krasimira , Vladimirov Miroslav 
Published: October 2019

Abstract
Application of the Portfolio theory to appreciation of the Bulgarian stock exchange following the most popular financial indices is presented. The data of these indices corresponds to the same watching periods an year before. Comparison of the optimization problem’s solutions and analysis of the financial activities are commented. Modification of the portfolio optimization problem is proposed for calculation facilitation.
A Study of Wi-Fi Security in City Environment
Authors: Valchanov H , Edikyan J , Aleksieva V 
Published: October 2019

Abstract
Wireless networks are widely used with increasing number of users. Typically, they are based on the IEEE 802.11 standard (Wi-Fi). Because of its broadcast nature, they are very susceptible to security attacks. It is very important to study the risks and potential vulnerabilities of Wi-Fi networks, which will allow defining recommendations for users to enhance their security. This paper presents a methodology and research of the security of wireless networks in Varna city based on war-driving technique. The obtained results are analyzed and compared with those from previous research. The recommendations are given.
Object-oriented pseudo-random data generator realizations
Authors: Karavasilev Tony 
Published: October 2019

Abstract
With the development of computational science and computer simulations, the randomness source has become a necessary part of every complex system and testing environment. Most programming languages, software frameworks and application libraries do not provide all different types of randomness generators and do not even implement high-quality algorithms for secure data generation. This paper presents an object-oriented solution for providing all the main classifications of randomness via random data generator classes that offer frequently used formats in information technology and in statistical hypothesis testing. It also presents usages for secure data generation and confirms the importance of true randomness in cryptography. The purpose of the developed practical experiments is to evaluate and show the differences in the sample generation quality of the sub-classifications of software randomness generators using the developed object-oriented components.
Application of machine translation techniques for the automatic selection of the technological process
Authors: Iliashenko O , Beseda A , Pelikhov P , Ermilova T 
Published: October 2019

Abstract
This research deals with the problem of developing a design and technological documentation for a new product in terms of technological processes selection, according to the list of components from the product specification. Practical experience in the implementation of automated control systems in manufacturing enterprises of the machine-building industry and the latest technologies in the field of machine learning were used. The concept of using machine learning for automating the selection of technological processes was developed based on a list of components. As a technique of machine learning, the methodology sequence to sequence is proposed.
A multi-criteria approach for evaluating the urban transport technologies by using SIMUS method
Authors: Stoilova Svetla D 
Published: October 2019

Abstract
The study purpose a methodology based on Sequential Interactive Modelling for Urban Systems (SIMUS) method for ranking the urban transport technologies. The methodology of research includes three steps. The first step defines quantitative and qualitative criteria for the assessment of urban transport modes. Fourteen criteria of four groups, as ecological, economical, technological and social for evaluating the transport alternatives in urban environment have been defined. The second step includes a selection of alternatives of transportation by different transport means for a given route. In this research is investigated transportation by metro, buses and cars. The SIMUS method is applied in the third step for ranking the variants of transportation. The method solves successive scenarios formulated as linear programming. This step involves the ranking of alternatives and choice of optimal type of transportation. The methodology is approved for study the alternative mode of transportation for parallel routes from Sofia’s transport network. It was found that the carriage by metro is the best transport technology for investigated route. The methodology and defined criteria could be applied to study the transport alternatives for different routes of Sofia’s transport network, and also to assess the modes of transport in urban area of Sofia or other city.
Stochastic algorithms in multimodal 3PL segment for the digital environment
Authors: Krasnov S , Zotova E , Sergeev S , Krasnov A , Draganov M 
Published: October 2019

Abstract
This paper discusses the problem of creation of control algorithms when working in the Third Party Logistic concept. It considers the process of supply management when several means of transport and an intermediate distribution center are used. It is assumed that goods are processed in the Machine-to-Machine mode by means of machine-readable codes. The controlling server processes the data and makes a decision either to use one or another mode of transport, or to store the cargo temporarily at the distribution center. An option is provided when an emergent stock of a limited y is placed directly at the end point so that the impact of market uncertainty in demand can be mitigated. The methods of mathematical modeling in the time of uncertainty of the operational environment are applied. The algorithm is based on the stochastic programming method. The practical focus of the work lies in orienting the results on multimodal logistics, which makes the model scalable. The computations, which use the algorithms developed in the paper, provide commercial network managers with a convenient tool for planning current activities taking into account market uncertainty in all operations, when dealing both with consumers and suppliers throughout the business chain, including distribution centers as independent nodes of machine-to-machine interaction. The implementation of the proposed models not only will bring economic benefits and reduce the global traffic, but will also help improve the environment and give a significant social effect.
Features of industrial management in the field of ecology
Authors: Burgonov Oleg , Kruglov Dmitrii , Ivleva Elena 
Published: October 2019

Abstract
The processes of global reorganization make managers pay attention to environmental safety and regulation of economic systems. In modern conditions, it is possible to solve environmental problems only by accelerating the development of economic activity. An entrepreneur who seeks to improve competitiveness and becomes a leader, both at the international and national levels. This happens when the company’s management implements environmental programs related to financial activities and trade.
Analytical model of the Interrelation between Enterprise’s Activity and its Financial Stability
Authors: Sokolitsyn A , Ivanov M. , Sokolitsyna N , Babkin I 
Published: October 2019

Abstract
To inquire aims of diversification as the most important Russian enterprises resultatives increase mechanism, the article considers scheme of enterprise functioning in diversification motives and aims interconnection and executes analyzing firm activity character change with its diversification and character of financial impact on its diversification. Analyzing particular diversification aims has allowed considering threats and negative factors, obligate to taking into account in forming enterprise activity diversification strategy to taking into account its specialties. Forming enterprise activity and financial sustainability basic assessing figures ordered graph and considering their calculation formulas has allowed modeling this graph. Practical realizing modeling enterprise activity diversification and financial sustainability basic figures ordered for a research object – St-Petersburg oil-gas machine-making enterprise taking into account presented graphic interpretation of its financial condition shows this research practical sustainability and opportunity to spread into other industries. The elaborated graph is the basis to form economically-mathematical models and algorithms of defining several kinds of enterprise’s credits. Besides that, it is one of effective instruments of complex economic analysis, which is the base of backgrounding potential enterprise development destinations with statistic modeling enterprise production process parameters. Therefore, elaborated graph practical realization helps to sufficient increasing effectiveness of managing enterprise.
Functional hybrid decision-making system for difficult formalized productive and economic problems
Authors: Korjagin S , Babkin A , Klachek P 
Published: October 2019

Abstract
A steady trend of the development of modern processes in human activities (social, economic, bioengineering, medical, technological) is a complication of the tasks, which are to be tackled on different levels of administration. This is connected with growth of amount of inconsistent information, necessary for well-grounded decision making, as well as with time saving for decision making. To improve the quality of decisions taken in these conditions, intellectual decision-making systems and artificial intelligence methods, on which the procedures for the direct preparation of solutions to various tasks are shifted, are increasingly being used. The article deals with the fundamentals of the structural organization of functional hybrid intelligent decision-making systems designed to solve difficult formalizable production and economic tasks, and suggests a new cognitive approach in the development of integration and effective management of formalized and weakly formalized knowledge in decision-making systems.
Factors of economic efficiency of innovative entrepreneurship in the manufacturing industry
Authors: Alekseev A , Khlebnikov K , Fomin E , Fomina N , Salkina A , Konnikov E 
Published: October 2019

Abstract
The publication presents the results of a study of the process of investing in the innovation of the Russian manufacturing industry (sample 2009-2017). Factors of economic efficiency of investment projects of the industry are revealed. It is proved that the efficiency of investment is determined by external factors, primarily by the level of economic concentration (CR3) of the market of innovative products. The coordination of the scientific result with the industry consolidation dynamics model (A.T. Kearney) is presented.