bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automation of the monitoring system for surface contamination with α-active radionuclides
Authors: Khan V A , Myshkin V F , Khorokhorin D M , Izhoykin D A , Kuznetsov M S , Panamaryova A N , Rakhimzhanova L A 
Published: January 2021

Abstract
The paper presents research on radiation control at nuclear enterprises working with α-active radionuclides. The focus of the research is on the registration of 239Pu radionuclides on hands surface. The experimental results show the possibility to create a turnstile for automatic monitoring the presence of α-active radionuclides on hands. Such a device can be used with a minimum helium consumption of 66 liters per hour in a measuring chamber with an open bottom of 5.4 liters.
Study of enzymatic hydrolysis parameters for reducing anti-nutritional properties of flour
Authors: Ashirova N , Bychkova E , Gurova D 
Published: January 2021

Abstract
The paper addresses the problem of production of foodstuffs for people suffering from diagnosed celiacia. There are no ways of pharmacological treatment of this group of people. The only possibility to maintain their optimal living standards is a life-long gluten-free diet. Grain-based proteins (wheat gliadins, rye secalines, barley hordeins, and oat avenines) and products of their processing are the disease triggers. Most often one generally accepted term “wheat gluten” is used instead of all these species. Celiacia is one of the urgent social problems in many countries which can be explained by its wide morbidity rate, difficulties in its diagnostics and a lack of experience of its prophylaxes and treatment. Strict requirements to the chemical composition of gluten-free flour-based foodstuffs dictate their high retail prices. Market analysis has shown that gluten-free flour-based products on average are 240% more expensive than usual flour-based products. So crackers, butter biscuits, pizzas and pasta made from gluten-free flour are the most expensive products. However the market of gluten-free flour-based products is one of the most fast growing markets. In this connection there is a need to provide people suffering from diagnosed celiacia with inexpensive domestic gluten-free products of high quality including products suited for public catering facilities such as pre-school, school and higher education institutions, military army facilities, canteens and sanatorium-and-spa resorts. Developing specialized foodstuffs based on nontoxic raw materials having a positive effect on human organisms and able to decrease risks of disease recurrence is a challenge to the scientific community.
Application of the probabilistic technologies to power plant design
Authors: Krivova L V , Shmoilov A V 
Published: January 2021

Abstract
In the report the developed approach for choice and substantiation of power equipment, current-carrying parts and switching devices using existing and proposed probabilistic method of borders selection of input and output data (SBID) is presented. SBID method allows to receive complete probabilistic characteristics or probability distribution laws (PDL) of output data as functional dependence from the arguments (input data) by probabilistic characteristics of arguments. Any task, including electrical values in operating modes and transient conditions in power system can be exposed as dependence on input or output data. Due to SBID method, the PDL of input data processing results of these dependencies may be received. PDL allows to calculate risks of overload of the power components in the operating modes and destruction, also power equipment parameters, current-carrying parts and switching devices are going to be selected on the basis of the minimum specified risks.
Research of the operation voltage limiter in pulsed mode
Authors: Krasniy I , Akimov S 
Published: January 2021

Abstract
This paper presents the results of investigations on the matter of withstanding power and switch-on time of the voltage limiter operating in a pulsed mode. The voltage limiter is based on a silicon p
+−n−n
+ structure obtained using the «batch» method of simultaneous two-way diffusion of boron and phosphorus out of solid phase.
Studying the influence of supply pulse duration on the phase composition of iron oxides obtained by the plasma-dynamic method
Authors: Shanenkov I I , Sivkov A A , Ivashutenko A S , Gukov M I , Shanenkova Y L 
Published: January 2021

Abstract
Magnetic materials and in particular iron oxides are of a great practical interest. The magnetite phase and the unique epsilon phase of iron oxide can be especially pointed out. The main difficulty in the synthesis of the epsilon phase is connected with the fact that it can exist only in a nanoscale state and is extremely difficult to obtain. We used the method of direct plasma dynamic synthesis, which allows obtaining multiphase powders of iron oxides containing both the epsilon phase and magnetite. It was found that by varying the initial parameters of the power system, namely the pulse duration by increasing the capacitance of the capacitive energy storage, it is possible to influence the phase composition of the obtained products and to achieve the preferential output of the epsilon phase. In addition, in the mode with the maximum pulse duration, when the best product is obtained from the point of the epsilon phase output, the system efficiency of converting the stored energy into released energy significantly increases. In general, it has been established that such a regime is most favorable for the system operation for the purpose of the iron oxides synthesis.
The high-level overview of social media content search engine
Authors: Savelev A O , Karpova A Yu , Chaykovskiy D V , Vilnin A D , Kaida A Yu , Kuznetsov S A , Igumnov L O , Maksimova N G 
Published: January 2021

Abstract
An increasing amount of social networks users-generated data is the most remarkable research challenge nowadays. Despite the progress in the field of semistructured data processing algorithms creation, even initial data collection could not be treated as issues that have been optimally solved. The paper covers a high-level overview of the automated social media content search system. The proposed structure enables to implement instruments for multisource content extraction tasks as well as supporting of identification processes of new patterns, which describe a certain type of content. Issues of Search engine organization, logically unified extracted data repository and possible content classification techniques with the appropriate knowledge base’s application are considered. Under the work, existing approaches and automated web-data extraction methods have been analyzed; social media API’s functions and limits, as well as ways of semistructured data storage system organization, have been studied. The planned result’s application area is automation and informational support of sociological research based on the social media content analysis techniques namely a content propagation simulation in interconnected groups; social and personal anomy study; clarification of the weak linkage’s strength concept.
An investigation of novel active phased array components
Authors: Alekseytsev S A , Gorbachev A P , Parshin Y N 
Published: January 2021

Abstract
This paper deals with a novel approach for designing dual-band dipole radiators. The brief explanation of the basic antenna characteristics obtained is given in the paper. The approach proposed is based on the exact analytical solution for the overall input impedance of a system which consists of two ends-fed dipoles. Then, based on this solution the comparison of the analytical and the simulated results is derived and shown in the paper. In the printed model of the system proposed we compensate huge capacitance occurring in the input impedance of a stand-alone ends-fed dipole by decreasing the gap between the dipoles and the ground plane. Besides, the mathematical model of the phase shifter for phased antenna arrays designing, which is designed for improving the linearity of the phase shifting performance is presented below. Thirdly, the crossed dipole-like antenna fed by rectangular waveguide is also proposed in the paper.
System for automated environmental monitoring using remote sensing data of the Earth from open data sources
Authors: Maslov K A , Tokareva O S 
Published: January 2021

Abstract
Environmental monitoring using remote sensing data requires an analyst to perform a large amount of routine work related to downloading, processing and analyzing data, especially in cases when the study area is covered with a large number of satellite imagery. The paper presents the results of the design and software implementation of the system that automates downloading and processing of remotely sensed data according to developed scenarios and, thus, greatly simplifies the processing of satellite imagery. It provides the description of tools for accessing data from the archive of the United States Geological Survey (USGS) and describes the data flow in the system. The paper gives an analysis of results obtained using the developed system on the example of monitoring the state of Siberian pine forests of the Tomsk region.
Adaptive frequency islanding system for distributed generation energy districts
Authors: Abeuov R B , Aryutina E A , Vassilyeva Yu Z 
Published: January 2021

Abstract
This paper presents the developed Adaptive frequency islanding system for distributed generation energy districts. The research is initiated due to the changes of power system structure, increasing the share of distributed generation. At the same time the existing islanding systems have a number of disadvantages, which leads to generation-shedding of distributed generation objects while allocating them for isolated operation. This is primarily due to the low speed of existing islanding systems. The solution to this problem can be an Adaptive frequency islanding system, which is high-speed and evens out the power balance in the distributed generation energy districts at the time of its allocation to isolated operation. The operating principle of this system is to determine the amount of control actions and their issuance at the substation of distributed generation energy districts based on the assessment of the electric power system mode and energy district real-time parameters.
Resilient satellite navigation empowers modern science, economy, and society
Authors: Filjar R , Damas M C , Iliev T B 
Published: January 2021

Abstract
Established on the exact mathematical principles, understanding of radio-wave propagation, and statistical signal processing and information theory, satellite navigation has become an essential cornerstone of modern civilisation, and an indispensable component of the national infrastructure. The increasing number of both navigation and non-navigation applications of the Global Navigations Satellite System (GNSS) utilise its Positioning, Navigation, and Timing (PNT) service for technology and business development, daily operation of technology and socio-economic systems, and improvement of the quality of life. The inherent shortcomings and limitations of GNSS ask for a transition towards the GNSS resilient to natural and artificial detrimental effects, which degrade the GNSS positioning performance. Here a systematic overview of the causes of the GNSS positioning performance degradation is outlined. Recent developments in mathematics and computer science are discussed as fundamental in the GNSS resilience development. Formulation of the Satellite-Positioning-as-a-Service (SPaaS) is outlined, as the new fundamental paradigm for resilient GNSS. Finally, the effects of the SpaaS on the wide range of GNSS applications in science, economy, and society are discussed. The contributions to SPaaS concept and the related developments through the application of statistical learning, mathematical methods and models development, and applications discussed result from the author’s involvement in numerous international strategic, technology, regulatory, standardisation, business, and academic education development and collaboration activities.
Performance of free-space optical systems in the presence of receiver imperfections
Authors: Djordjevic G T , Milic D N , Radojkovic I D 
Published: January 2021

Abstract
We present a review of papers considering the subcarrier intensity modulation free-space optical (FSO) communication systems in the presence of phase noise. This phase noise is a consequence of imperfect reference signal extraction in electrical domain after photodetector. We illustrate the effects of this phenomenon on the system symbol-error rate performance. The examples show that receiver imperfections, presented through phase noise, can degrade the FSO system performance to a large extent.
Deployment of mesh network in an indoor scenario for application in IoT communications
Authors: Angelov K K , Sadinov S M , Kogias P 
Published: January 2021

Abstract
The need for digital transformation in the industry and the related development of the Internet of Things (IoT) has led to the rapid development of various communication technologies and approaches for the implementation of flexible and intelligent communication networks. The main direction is wireless technologies, which make it possible to accelerate the wide range of new applications and services related to smart cities, industry, e-government and others. The possibilities are wide - use of different licensed or unlicensed frequency bands, channel bandwidths, modulation formats, power efficiency, reliability and security. Different network topologies could be applied for the access and collection of data from the sensor networks - star topology, mesh topology, tree topology, each of which has different advantages and disadvantages. This paper discusses the possibilities for deploying low-power mesh networks in an indoor scenario based on IQRF technology. Important communication parameters, approach advantages, and technological limitations will be highlighted. As an example, a study of network behaviour and efficiency in an indoor scenario will be considered.
Security of the sensory data in the cloud
Authors: Tsvetanov F A , Pandurski M N 
Published: January 2021

Abstract
The integration between the clouds and the sensor networks makes it possible to solve the problem of the limited computing power and the limited capacity of the sensor networks, as well as for the storage and processing of the collected data, without unnecessarily increasing the cost of the sensor networks. A significant challenge is the security of the data transmission connection between the sensors and the cloud. An algorithm has been proposed that ensures security in the transmission of data from the sensor network to the cloud via the DLS security protocol. The algorithm is implemented through the ThingSpeak cloud, and the connection between the sensor network and the cloud is implemented through the MQTT protocol, creating the flow that will gather sensor data, using Node-RED and Generate a self-signed certificate with OpenSSL. The algorithm was tested with Wireshark software, which confirmed that the data packets sent from the sensor network to ThingSpeak use the MQTT data transfer protocol and connect to communication port 8883, which is protected/encrypted via TLS / SSL protocol.
Voice control and management in smart home system by artificial intelligence
Authors: Balabanova I S , Kostadinova S S , Markova V I , Sadinov S M , Georgiev G I 
Published: January 2021

Abstract
The paper provides a 3D architectural model of Smart Home system. An information data sets of parameters in sound analysis of test voice commands were collected. The following analyzed indicators are included, respectively LZE, LZeq, LZF, LZS, LZI, LAE, LAeq, LAF, LAS, LAI, LCE, LCeq, LCF, LCS, LCI and LEX8h. Backpropagation and Hybrid algorithms based Artificial intelligence (AI) and Adaptive neuro-fuzzy interface system (ANFIS) were synthesized. Selected architectures are integrated in intelligent automated voice control system for human access control, power switching and lighting, air conditioning systems and home appliances. In the process of synthesis, different criteria for network performance in the analysis of activation type in the output layers in AI and input layer in ANFIS are applied. About all considered voice categories for functional control an accuracy of 100.0% was established. Verification procedures concerning reliability of the achieved results were performed for correct confirmation.
Storing data from sensors networks
Authors: Tsvetanov F A 
Published: January 2021

Abstract
Sensor networks generate a massive amount of heterogeneous and multidimensional data with specific characteristics, for the storage, processing and visualisation of generated sensor data most often used specially designed databases for sensory data, which can integrate into cloud structures. This paper presents a diagram of the integration of data from sensor networks in the cloud, which solves essential issues about the cost of sensor networks and the possibilities for storing sensor data in specialised cloud databases. The peculiarities of the sensory data and the specific requirements for their storage and processing are analysed. Through which approaches and models in the storage are identified, as well as the possibilities for their application. TSBD time-series database and cloud databases suitable for storage of sensor data are systematised, and recommendations for the selection made.
Study the influence of intermodulation products on navigation signals
Authors: Iliev T B , Stoyanov I S , Mihaylov G Y , Ivanova E P 
Published: January 2021

Abstract
The work examines terrestrial radio broadcasting using frequency modulation (FM), which interferes with the ILS (Instrument Landing System), VOR (VHF Omnial Radio range) and VHF communications systems, which is a widespread problem among aircraft users. In the case of ground/air communication receivers, this interference problem involves disturbing of audio communications and distorted reception of signals from the RV range. In aircraft ILS locators and VOR receivers, the interference problem is associated with interference of audio communications and errors related to course deviation and flag modes of control. Interference in these navigation receivers is considered as a more serious problem than errors in course deviation or impaired communication, especially in the approach and landing phases.
An industrial IoT edge node for buffer level detection in a cardboard production line
Authors: Avramidis G , Karampatzakis D 
Published: January 2021

Abstract
Computer Science and Internet have evolved rapidly the last decades and equally impressive is the evolution of the Industrial Internet of Things technology into factories’ shop floors. Among other technologies: modern CPU Architectures, Edge Computing, Deep Learning, Computer Vision, and Low Power Wide Area Networks, are playing a key role in this new competitive environment. In this paper, we present an Industrial IoT Edge Node for level detection on an overhead bridge conveyor (buffer) which is part of a 5-ply corrugated cardboard production line. We focused on the Edge Node and the development of the system was accomplished by using state of the art technologies from disciplines of computer vision and deep learning. We present two implementations using contour detection and CNN techniques. Finally, we implemented a LoRaWAN solution in the IIoT node to send alert messages to the control room. Experimental results are presented for the proposed system implementations.
On numerical method for modeling oil filtration problems in piecewise-inhomogeneous porous medium
Authors: Nematov A , Nazirova E Sh , Sadikov R T 
Published: January 2021

Abstract
Oil and gas fields in natural conditions are rarely of homogeneous nature. Given the chaotic nature of changes in rock mass permeability within a single layer, its significant parts (areas) can be considered uniform in permeability. If significant in sizes homogeneous zones (regions) are distinguished within the formation, the parameters of such a macro-inhomogeneous formation significantly affect the characteristics of the filtration flows. The area of zonal inhomogeneity consists of the parts of different permeability. Within the same zone, the permeability is on average the same, but differs from the permeability of adjacent zones.
Comparative analysis of prototypes for two-touch finger interfaces of smartwatch
Authors: Dimitrov Y N , Aleksieva V P , Valchanov H G 
Published: January 2021

Abstract
Two factors are important when the Smartwatch interfaces are developing - the small size of the display and the limited area for input control. The proposed by the authors prototype take them into account and aim to solve the “fat finger” problem and the difficult observation that affects the usability of the touch screen. It propose two fingers touch interface for smartwatch. The paper presents a comparison study of it for with two other prototypes. The results of complex evaluation of prototypes are given.
Technique for storing and automated processing of weather station data in cloud platforms
Authors: Sokolov S , Vlaev S , Chalashkanov M 
Published: January 2021

Abstract
In this paper we present an approach for design of cloud-based systems for storing and processing of sensor data from weather stations. In recent years there are abundant IoT devices that are capable of fairly precise data acquisition of local atmospheric parameters and reliable transmission over wireless network. The used dataset is acquired from a modern weather station model from a superior European manufacturer. 17 parameters are used for training neural network based LSTM model. In our research we have also compared several models and approaches for modeling this type of data. We propose a design of container based system for automated processing of the received data, visualization and cloud storage technique. We are comparing two types of open-source container technologies for implementing data processing. We have evaluated the performance and provide the set of criteria for choosing a container platform. Storing the data in the cloud is an important part and we provide our consideration for implementing a particular open source platform that could reduce costs fulfil the requirements for weather data storage. The designed system is expected to be cloud-provider agnostic. The proposed features make the system especially suitable for purposes such as local weather forecast; disaster prediction: hurricane, severe storms, floods, tornadoes, etc.; severe droughts with fire dangers; prediction of landslides. Depending on the availability of additional sensors the future development of the system may be extended with parameters of the soil. Training the model on a freely available data set is in our future plans for system development.
Analysis of the energy recovery possibilities of energy from lavender straws after a steam distillation process
Authors: Chakyrova D , Doseva N 
Published: January 2021

Abstract
In recent years, the area sown with lavender has increased in Bulgaria, which is then processed to essential oils by steam distillation. Plant residues after the steam distillation process are a major environmental problem and, at the same time, a valuable source of biofuels. Thus, the processing of lavender waste solves the problem of environmental pollution and generates energy that can be used for various purposes. This paper analyzes the possibilities for obtaining energy from lavender biomass. The processes of direct combustion and pyrolysis with their advantages and disadvantages are analysed and the yields of the obtained products are predicted by analytical calculations. For the purposes of this study, an experiment was conducted to determine the pyrolysis products of lavender straws and their quantitative ratios, which were compared with analytical calculations. The results show that the energy obtained can ensure the implementation of the steam distillation process and the residual energy can be used for other purposes.