bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physicochemical characteristics of the wide fraction of the coal tar from ArselorMittal Temirtau, JSC
Authors: Ordabayeva A T , Meiramov M G , Gazaliev A M 
Published: August 2020

Abstract
Gas-liquid chromatography was used to establish the composition of the wide fraction with a final boiling point of up to 410 °C that includes high-boiling—primarily polyaromatic—compounds. Binary composite iron- and cobalt-based catalysts were synthesized on the substrate from synthetic zeolites and carbon carrier for hydrocatalytic processing of the wide fraction of the tar. The paper elucidates the conversion degree and quantitative composition of the forming products to be different and dependent on the activity and selectivity of the catalysts that, in their turn, are connected with the surface area, dimension and porous structure. When hydrogenating the tar wide fraction in the presence of composite catalysts, such as Fe-Co/CaA, Fe-Co/C and Fe-Co/ZSM, the content of naphthalene derivatives reduces as compared to their initial content in the fraction. This is due to the hydrogenation of naphthalene during the hydrocatalytic processing of the tar fraction, which yields tetraline. It was established that the iron-containing binary composite catalyst on the carbon carrier manifests higher catalytic activity and selectivity as compared to the catalysts based on synthetic zeolites.
Simulation the time response to ultra-short pulse excitation of two cascaded modal filters with a passive conductor in the reference plane
Authors: Samoylichenko M A , Zabolotsky A M 
Published: August 2020

Abstract
The paper considers protection of radio electronic equipment against conductive excitation of an ultra-short pulse (USP) by using a serial connection of two modal filters (MF) of the same length, which have a passive conductor in the cutout of the reference plane. The amplitude at the output was reduced by 12.5 times in relation to the half of the e.m.f. with 50 Ω resistors at the ends of the passive conductors. The influence of boundary conditions at the ends of the passive conductors of two MFs was considered. For OC-SC, OC-SC the amplitude reduction by 70 times was achieved.
The impact of trauma of the mucous membrane of the nasal septum in rats on behavioral responses and changes in the balance of the autonomic nervous system (pilot study)
Authors: Kastyro I V , Inozemtsev A N , Shmaevsky P E , Khamidullin G V , Torshin V I , Kovalenko N , Pryanikov P D , Guseinov I I 
Published: August 2020

Abstract
The nasal cavity surgery are usually traumatic surgery. Septoplasty leads to reactive inflammation, edema and hypoxemia. In the present study, we study the response of the autonomic nervous system (ANS), its role in changing behavioral reactions, as well as possible mechanisms of impairment of cognitive and adaptive reactions in rats after trauma to the nasal septum mucosa. The nasal septum mucosa was scarified in 10 adult mongrel male rats. The day before surgery and 2 days after surgery animals were tested in the square-shaped “open field” (OF) and electrocardiogram (ECG) in 1 hour before OF. ANS condition was analyzed by the high-frequency component of the heart rate (HF) and the low-frequency component of the heart rate (LF). The correlation of HF & LF with rat behavior in the open field before and after surgery was performed. Simulation of septoplasty in rats provokes a powerful stress response in the form of a sharp imbalance of ANS towards its PNS on the 2 postoperative day. Changes in behavioral and research reactions of rats in OF are manifested in a decrease in research activity, a display of uneasiness, depression-like state, as well as anxiety.
Diagnostic of Cystic Fibrosis in Lung Computer Tomographic Images using Image Annotation and Improved PSPNet Modelling
Authors: Francis N J , Francis N S , Axyonov S V , Aljasar S A , Xu Y , Saqib M 
Published: August 2020

Abstract
The research deals with the development of an algorithm for detecting pathological formation in cystic fibrosis using the PSPNet model with focal loss. The model allows data sets to be entered in accordance to their similarities based on their pathological diagnostic signs. The simple and effective algorithm structure groups annotated images, processes them in a multi-scale CNN, and localizes areas of cystic fibrosis in the lungs with high accuracy.
Design of turbomachinaries using numerical simulation results
Authors: Gurina E 
Published: August 2020

Abstract
Computer simulation is the most modern method in the field of evaluating the parameters of a developed product in engineering problems. The essence of this method is to replace the real physical process that occurs during the operation of turbomachinery, with its mathematical model, and solve the problem with the help of modern computers. An approach with the replacement of a long (from several months to a year) and expensive development cycle by a numerical experiment (from several days to a month) will allow us to detect and eliminate the main flaws at the stage of product design, without realizing intermediate prototypes. Distributions of the main gas-dynamic parameters of the process studied (airflow velocity and pressure, mass flow rate) were obtained.
Using N-norms for analysing a device with a single modal reservation
Authors: Zhechev Y S , Zhecheva A V , Medvedev A V , Gazizov T R 
Published: August 2020

Abstract
The paper investigates the results of N-norm calculations for a device with a single modal reservation. Using a quasistatic approach, we obtained a time response at the far end of the reserved and reserving conductors for the structure with and without losses. The authors analyse N-norms of decomposed pulses at the far end of the reserved and reserving conductors. The results show that the probability of failure of the reserving equipment is lower than that of the reserved equipment.
Optimization of fuzzy classifier parameters with a combination of gravitational search algorithm and shuffled frog leaping algorithm
Authors: Bardamova M B , Hodashinsky I A 
Published: August 2020

Abstract
In the present article, we analyse the effectiveness of combining two metaheuristic algorithms for tuning parameters of a fuzzy classifier. To work with imbalanced data, a fitness function is used based on a compromise between the overall accuracy and the geometric mean of accuracy of each class. The experiment was performed on data sets from the “Knowledge Extraction based on Evolutionary Learning” repository with different imbalance coefficients.
Designing LBP-descriptor for reconfigurable computing environments
Authors: Shashev D V , Taganov A A , Mondal M , Okunsky M V 
Published: August 2020

Abstract
The article outlines a new approach to constructing Local Binary Patterns (LBP-descriptors) for implementation on computers with parallel-pipeline architectures. This approach can be effectively applied to pedestrian detection. The new algorithm is optimized for the original model of the reconfigurable computing environment, which allows it to be implemented in the form of combinational logic with high speed. A mathematical model for the new LBP - descriptor is also presented.
Analysis of the statistical characteristics of the discrete breater in CuPt7 crystal by the method of molecular dynamics by GPU-calculations
Authors: Eremin A M , Zakharov P V , Starostenkov M D 
Published: August 2020

Abstract
The article uses the molecular-dynamic method to calculate the statistical characteristics of a quasi-breather in a CuPt7 model crystal. In the calculations, a high-performance computing complex based on a GPU accelerator was used, which provided the necessary speed and accuracy of calculations. The phonon spectrum of this model crystal was calculated, and the dependences of the standard deviation, coefficient of variation, and average frequency of the model quasi-breather on its lifetime were revealed. The analysis of statistical data allows concluding that in the model under consideration, using the interatomic interaction potential obtained by the immersed atom (EAM) method, the quasi-breather model solution does not differ significantly from the corresponding exact breather. Moreover, the final destruction of the quasi-breather occurs at a time when the standard deviation of the frequencies exceeds the difference between the average frequency of the quasi-breather and the upper boundary of the phonon spectrum of the crystal. At this moment, the delocalization of vibrations and the dissipation of energy through the crystal in the form of low-amplitude thermal vibrations of the lattice occur. This may indicate the stability of the obtained discrete breather and the possibility of excitation in real alloys of the considered composition.
Analysis of city transport network based on geoinformation systems in transport zones of industrial city
Authors: Lebedeva O A , Poltavskaya J O 
Published: August 2020

Abstract
The analysis of transport accessibility is a standard task requiring the search for the optimal solution, the solution of which is necessary for the harmonious development of the urban environment in general, and the effective organization of the transportation process in particular. The article discusses the indicators necessary for determining transport accessibility based on analysis of the urban transport system and calculation methods using geographical information systems. The main parameter is time-based accessibility from the central part of the city to other transport zones. To determine the rank of the transport zone, the following statistical characteristics are required: road network density in urban areas; a number of jobs, a number of equipped parking spaces; the number of objects of gravity in transport zones. A decision support system based on geographic information systems can be carried out by two methods: the choice of a relatively ideal solution and simple additive weighing. Analysis of transport zones can improve the quality of statistical data on urban transport medium. The article presents the models, the use which is necessary for efficient operation of urban transport, as well as indicators necessary for the stable functioning of the infrastructure. It can be integrated into planning systems and sustainable development of urban transport and planning.
Designing a knowledge base for the development of intelligent models based on the conceptual structure of activity act
Authors: Sorokin A B , Brazhnikova E V , Zheleznyak L M 
Published: August 2020

Abstract
This article discusses the development of intelligent models based on the conceptual understanding of a dynamically complex environment. The method proposed in this work allows solving these problems based on a synthesis of the activity approach and situational analysis. As a result, the conceptual structure of the act of activity is realized. The combination of these structures leads to the construction of a decision matrix, which represents a knowledge base about a dynamically complex environment. An analysis of these interrelated aspects leads to the construction of four conceptual plans: the functional structure, processes, context and regularity. Conceptual plans make it possible to combine model ideas about the subject area, thereby simplifying the choice of intelligent modules for decision support systems. Recognition of the task of constructing conceptual structures as non-trivial, complex and time-consuming led to the idea of implementing the software system “Designer + Solver + Interpreter”. The software toolkit allows not only visualization of conceptual structures and implementation of knowledge bases for intelligent models, but also the studies for completeness and adequacy.
High-speed algorithms for automatic manipulators control systems
Authors: Osokin Yu A 
Published: August 2020

Abstract
This article presents options for implementing high-speed algorithms for controlling automatic manipulators operating as part of robotic complexes (RTCs). Software control systems for automatic manipulators with the use of noise-resistant coding algorithms are considered in the conditions of operation in production conditions, when there is instability in the supply of energy resources, the presence of sources of network interference, interference that violates the safe working conditions of radio-electronic equipment. Examples of implemented control algorithms with different software cycles are given, regarding into account the peculiarities of production. A comparative analysis is made with analogs that have similar technological characteristics.
Extraction of structured data from unstructured medical records using text data mining technologies: process automation
Authors: Moskalev I V , Krotova O S , Khvorova L A , Bobkova D G 
Published: August 2020

Abstract
The paper discusses technologies for processing text-based medical data stored in the Microsoft Word text format. Processing such data is aimed at data mining the text for new, potentially useful knowledge that can later be used to study various diseases and to form a personalized approach to diagnosis and treatment. During the study, 3244 depersonalized medical records of children and adolescents in Altai Krai suffering from diabetes mellitus were processed. Information is stored in the records in both structured and unstructured forms. Most of the valuable data, such as the dynamics of the disease course, patient complaints, patient’s life history, etc. are kept in natural language. The difficulty of processing text medical records is associated with a great number of abbreviations, synonyms and misprints, which makes it impossible to use a unified template. Therefore, the study is aimed at minimizing information losses while extracting knowledge by means of applying various text data mining methods. The practical outcome of this study is a database containing a large amount of valuable information on diabetes mellitus, various types of its clinical course and complications. The obtained data will be further used to build mining models for diagnosing and predicting the disease and its complications. To reach the goal of the research, we used the PostgreSQL DBMS and modern linguistically oriented software created within the framework of the Python programming language and its libraries: python-docx, natasha, Natural Language Toolkit (NLTK).
Finite Element Dynamic and Static Analysis of Agaricus bisporus Picking Robot Mobile Platform
Authors: Chen Hao , Yu Tao , Chai Jianfei 
Published: August 2020

Abstract
In response to the design needs of the spore mushroom picking robot mobile platform, SolidWorks software was used to build the model and ANSYS software as the analysis tool. The static and modal analysis of the mobile platform of the Agaricus bisporus picking robot was carried out, and the stress cloud diagram, displacement cloud diagram and vibration mode diagram were obtained. The resulting stress from the stress diagram is less than the yield stress of the material, but the stress concentration is large. After the improvement of the connection method of the mobile platform parts, the stress concentration of the mobile platform becomes significantly smaller, which is more in line with the design requirements. This is of great significance to the researchers of picking robot mobile platforms.
New Energy Power Prediction Optimization Based on Improved TF-IDF Single Machine Information Feature Extraction
Authors: Meng Liu , Ranjie Liu , Yidan Ren , Yue Qi , Jingjie Bai , Manshuai Wang 
Published: August 2020

Abstract
In order to lean management of new energy consumption, based on the characteristics of wide range and complex structure of unstructured data including dispatch and maintenance logs in the power grid system, based on the idea of improving TF-IDF, a DF-IDF data reflecting time slots is proposed Feature extraction algorithm, taking wind power in a power grid in the northern region as an example, extracts keyword and part-of-speech features from unstructured power grid dispatch logs and maintenance data to achieve single-machine state data screening and eliminate irrelevant state data. With the help of the effectiveness of the stand-alone information feature extraction algorithm, the management methods of new energy power prediction optimization are then studied. The results show that in the case of highly complex data, the average accuracy of the DF-IDF-processed feature extraction method is 8% and 7% higher than the traditional TF-IDF method and the One-Hot method. At the same time, it also provides pre-processing methods for stand-alone power prediction calculation, accuracy analysis, and summary station power prediction optimization in new energy power prediction and optimization, improving the rationality, accuracy, and effectiveness of data collaborative processing, and laying new energy lean. Contain the foundation of management level.
Deep Learning Methods in Communication Systems: A Review
Authors: Liao Feifan , Wei Shengyun , Zou Shun 
Published: August 2020

Abstract
With the rapid development of modern communication systems, the amount of data has exploded, the system structure has become increasingly complex, and existing communication theories and technologies are facing huge challenges. The successful application of deep learning technology in the fields of images, speech, natural language processing, and games provides a possible solution for the theory and technology of communication systems that goes beyond traditional ideas and performance. This article mainly summarizes the application cases of deep learning methods in channel estimation, signal detection, and modulation recognition, and shows their outstanding performance compared to traditional communication theory and technology. Finally, we analyze the opportunities and challenges faced by deep learning-based communication technologies.
Failure Analysis of a Chip Damaged by Electro-Static Discharge
Authors: Cheng Yaoqing , Huang Wei , Hang Li , Qian Lingli , Zhang Wei 
Published: August 2020

Abstract
A process of failure analysis of a COMS chip damaged by Electro-Static Discharge (ESD) is presented. The method of the thermal image was used to locate the failure spot. To find out the root of the failure, the circuit principle and the layout of the chip were analyzed, and it was found that the layout design was not unreasonable. An ESD test was carried out to confirm the analysis. This work has reference significance for the failure analysis and reliability improvement of the integrated circuit product.
Research on Development and Application of Underwater Acoustic Communication System
Authors: Tang Nvzhi , Zeng Qian , Luo Dongyan , Xu Qinyun , Hu Haiyang 
Published: August 2020

Abstract
Underwater acoustic communication technology is the core technology in the marine field, occupying a very important position, and has an important supporting role for underwater observation operations and military activities. Underwater acoustic technology is currently the most widely used and longest underwater wireless communication technology. With the increasing demand for development, the complexity of underwater acoustic channels, underwater environment and other factors make the communication speed, communication distance and communication stability of underwater acoustic communication greatly restricted. Despite these limitations, underwater acoustic communication is still valued by professionals from various countries and industries, and has been developed and applied to some extent. This article summarizes the basic content of underwater acoustic communication technology, leads to its general structure as a communication system, the current development of underwater acoustic communication technology, and the characteristics of underwater acoustic communication systems due to the characteristics of underwater acoustic channels. This article summarizes the development and some applications of the underwater acoustic communication system and the full text and some prospects for the future underwater acoustic communication.
Proportional model of constant temperature and humidity control
Authors: Xiaojuan Fu , Hongkun Wu 
Published: August 2020

Abstract
In this paper, we use the experimental data provided by an opto-electronic Technology Co., Ltd. in Xiamen to do mathematical modeling, find the dew point temperature under this environment requirement, and use it as the setting value of dew point control, and then establish a simple proportional model of dew point control, then, the actual dew point temperature DP is calculated in real time by the scale model, and compared with the set value, according to the comparison result, the cold water valve is controlled, and the ratio of the opening degree is

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; According to the Return Air’s temperature and Humidity to control the Hot Water Valve and Humidifying Valve Separately, the constant temperature and humidity control of the system is realized. The control system has high precision, temperature can reach ±0.5°C, humidity can reach RH±10%, strong stability and fast response.
Research on deep reinforcement learning multi-path routing planning in SDN
Authors: Wang Zheng , Lu Zhengyong , Li Chuanhuang 
Published: August 2020

Abstract
Based on the research of current SDN traffic scheduling technology, combining the advantages of reinforcement learning in strategy optimization and the characteristics of SDN network resource centralized control, and using the neural network of depth learning to fit the Q-value table, this paper proposes an intelligent multi-path routing planning method based on depth reinforcement learning. Experiments show that the method can use the characteristics of SDN to route the network traffic in multi-path according to the current state information and traffic characteristics of the network; using the advantages of reinforcement learning, it can find multiple forwarding paths for different flows that conform to their traffic characteristics, and improve the utilization rate of the network link bandwidth; and using the neural network of deep learning to fit the Q value in the traditional reinforcement learning algorithm Table.
DOA Based on Manifold Separation Technique and Dimensionality Reduction
Authors: Zhao Na , Wei Hua , Lu Xingyu 
Published: August 2020

Abstract
In this paper, we investigate the high resolution of arbitrary array applied to wireless positioning system and propose a Direction of Arrival (DOA) estimation algorithm based on the Manifold Separation Technique (MST). In order to reduce the error of MST model caused by noise, this algorithm uses the MST to decompose the steering vector into sampling matrix (only describing the array itself) and Vandermonde form (only relating to the direction of arrival), the steering vector of arbitrary array is represented by combining the Effective Aperture Distribution Function (EADF). In order to reduce the complexity of Multiple Signal Classification (MUSIC) algorithm of two-dimensional array, the 2D spectral peak search is decomposed into two one-dimensional spectral peak searches using dimensionality reduction methods. Simulation results show that the algorithm not only reduces the computational complexity, but also has good performance of low signal to noise ratio (SNR).