bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clone detection in student programs based on lexical analysis of source codes
Authors: Polovikova O N , Ivanova V E 
Published: August 2020

Abstract
This article presents the development of automatic clone detection for verification students programs - the Detector of Clones. The Levenshtein Distance is used for the initial assessment of the similarity of the two token sequences which is calculated by the Wagner-Fisher algorithm. Verification of two programs is carried out by the fingerprint method and by the winnowing method. To improve the results of plagiarism assessment, an additional calculation was added to the implementation of the winnowing method: the detector compares not only the labels themselves, but also the sequences near the matching labels. The detector of clones is formed for the cycle of disciplines Object Oriented Programming, Object Oriented Analysis and Design on the Moodle platform. These tools support C-like languages (C++ and C#). In general, the work of the detector undoubtedly made it possible to increase the consistency in verification of student programs.
Analysis of seed quality indicators based on neural network
Authors: Barysheva N N , Guner M V , Baryshev D D , Pronin S P 
Published: August 2020

Abstract
The paper presents a neural network study of the data of wheat seed quality. It is established that the analysis of bioelectrical signals of wheat seeds based on a neural network can be used in practice for the solution of two problems - diagnostics of seed material quality and the evaluation of cleaning line quality (separation into fractions). The paper presents the results of initial data preparation, formation of a neural network, analysis of training data for two practical problems of classification. It was established using a neural network that there is a nonlinear dependence of the membrane potential maximum value and the signal rise time on the seed yield. The model makes it possible to predict yield in terms of the seed material quality. A nonlinear dependence of the maximum membrane potential, the signal rise time of wheat seeds and the seeds variety to one or another faction (speed of separation into the fractions in this example) was also established in this paper. Studies have shown that the seeds variety is an important informative feature for solving the problem of classifying seeds by fractions. Therefore, it is necessary to conduct additional studies with other wheat seeds varieties to apply this method in practice.
Description of the control system algorithm for the concurrent production of concentrates of MD1 and MD2 nanostructures in terms of providing thermal vortex enrichment
Authors: Gorovoy V O , Kolosov A D , Nebogin S A , Govorkov A S , Kononenko R V 
Published: August 2020

Abstract
As part of a series of works on the processing of aluminum and silicon waste products, including the project to create a comprehensive resource-saving technology for the production of nanostructure concentrates along the way, the algorithm of the automated system for controlling the technological process for producing concentrates of MD1 and MD2 nanostructures in part providing thermal vortex enrichment is described. Algorithms have been developed for the automated processing of incoming raw whole data into a real format in the parameter range, for controlling the three-position regulator (RO) with open/close commands with a built-in automatic step-by-step PI controller. The purpose and characteristics of the processes, the information used, the results of the solution, the decision algorithms, the requirements for the test example are described.
Registration and processing of experimental data in research of martensitic transformations in TiNi alloys by acoustic emission method
Authors: Gryaznov A S , Plotnikov V A , Makarov S V 
Published: August 2020

Abstract
The characteristics of the software and hardware system for recording acoustic emission in a wide frequency range are given. This system is used in studies of structural and phase transformations of metals and alloys under complex thermo-mechanical loading. The software and hardware system is the author’s development of the team and provides an affordable solution for recording and processing data in real time, which is a determining factor in the choice of technology for the study of structural-phase transformations of metals and alloys by method of acoustic emission. The requirements for acoustic emission technique differ slightly from the approaches common in the field of non-destructive testing. The hardware complex consists of a standard ADC with a sampling rate of at least 10 MHz, which provides spectrum registration in the range up to 1 MHz. The cascade of amplifiers are provides requirements for study by method of acoustic emission. The set includes a low-noise heater, an Arduino-based recording unit for related experimental parameters (temperature, mechanical stress, strain), and a personal computer. The software part of the system is a light scientific open source shell for conducting a physical experiment - the “dotScope”, developed by the author’s team. The program includes an extensible plugins system for working with various ADCs, plugins for real-time data processing, and plugins for post-processing.
Polyhedral programming and optimization of discrete control processes with polyhedral performance criterions
Authors: Filimonov A B , Filimonov N B , Matvienko V T 
Published: August 2020

Abstract
The elements of polyhedral programming theory considering the extreme tasks with polyhedral both goal and limiting functions are presented. The authors discuss the application of polyhedral programming device for optimal control tasks by discrete dynamic objects with polyhedral performance criterions. The decision of two optimization tasks of discrete control processes is reduced. They are the control task by finite state and the task of terminal stabilization.
Computational procedure for preparing the technical conditions for stowage and securing cargo in rail cars and containers
Authors: Olentsevich V A , Upyr’ R Yu , Gladkih A M 
Published: August 2020

Abstract
The transition of the railway industry from information management systems to systems with full management can be achieved by combining automated information systems integrated into production processes in the railway network. Russian Railways OAO acts as a driver for the development of modern technologies in the transport sector, aiming to increase efficiency in organizing the transportation process. Monitoring changes in customer needs, as well as focusing on increasing the value of services and products for consumers, including service quality improvement by digitalizing individual operations related to the cargo handling during loading, is becoming increasingly important. The introduction of the developed automated system for the preparation of technical specifications for the stowage and securing of cargo in rail cars and containers will increase production system organization quality in railway transport, as it will eliminate the incompetence, negligence and irresponsibility of workers associated with the handling, stowage and securing, reduce the time for preparing technical documentation, and improve the transport system operation quality. To achieve the stated goal, based on the studies, the author developed a computational decision-making procedure for the stowage and securing of cargo in the rail car, taking into account a possible two-coordinate shift. The procedure allows employees responsible for accepting cargo for transportation to assess the quality of the cargo securing according to the criterion of permissible shift at the initial stage of the transportation process. The developed automated system has many positive aspects. The security of the system significantly increases, the risk of errors is reduced, and the influence of the human factor is minimized. The complexity of the process of compiling a sketch of the stowage and securing of the cargo in the rail car loaded in accordance with the Technical Specifications is reduced. Most of the work is done by automated software, the cargo shipper has more time to control the loading process; time limits of various works and projects generally decrease.
Simulation of measuring transducers based on interconnected piezoresonators
Authors: Sedalishchev V N , Sergeeva Ia S 
Published: August 2020

Abstract
The article presents the results of simulation of the operating modes of measuring transducers based on interconnected piezoresonators. The article discusses modulation options as a function of the measured effects of the parameters of equivalent electrical equivalent circuits of piezoresonators and coupling elements between them. The article describes the features of using coupled oscillations in systems with two degrees of freedom for constructing differential-type sensors with a frequency and amplitude output. The article gave examples of the practical implementation of measuring devices based on coupled oscillations of piezoresonators.
Solution algorithms of an automated control system for a technological process of thermal vortex enrichment
Authors: Kondrat’ev V V , Gorovoy V O , Kolosov A D , Govorkov A S , Kononenko R V 
Published: August 2020

Abstract
As a part of the development of a comprehensive resource-saving technology and the organization of high-tech production of nanostructures based on carbon and silicon dioxide to improve the properties of building and structural materials, the algorithms for the software package Automated Control System for the Technological Process for Obtaining Concentrates of MD1 and MD2 Nanostructures are described in part providing thermal vortex enrichment. Algorithms have been developed for controlling an analog value according to the PID control law, stopping the production line in emergency mode, and regenerating bag filters as they become clogged. The purpose and characteristics of the processes, the information used, the results of the solution, the decision algorithms and the requirements for the test example are described.
Internal Control of Accounting Information System in Regional Chain Technology
Authors: Jia Xu 
Published: August 2020

Abstract
In the current enterprise development process, the accounting information system is widely used in the application of regional chain technology. The regional chain technology can effectively solve some problems in the accounting information system, and has certain positive significance for improving the level of solidified transactions and processing. However, there are still some limitations in the application of regional chain technology. Therefore, we need to study and analyze the application of regional chain technology in the current internal control process of accounting information system, so that we can further improve the application effect of regional chain technology
Street Lamp Intelligent Monitoring System Design Based on NB-IoT Technology
Authors: Tian Ye , Wang Yali 
Published: August 2020

Abstract
In view of the problems in the practical application of traditional urban Lighting systems, such as inconvenient centralized control of street lamps, untimely information monitoring, and low efficiency of human inspection methods, a design scheme for street lamp monitoring systems based on narrow-band Internet of Things (NB-IoT) technology is proposed. In this solution, the STM32L431 RCT6 chip is used as the main control chip, and the NB-IoT module is used as the communication module. It is connected to the Huawei Internet of Things management platform, and an application program is developed on the application side to remotely monitor the street lights in real time. The experimental results show that the system realizes real-time monitoring and intelligent control of street lamps.
ENMFM Algorithm Applicable for the Multi-Source Heterogeneous Data Source Model of Power Grid Regulatory Cloud Platform
Authors: Haibo Lan , Linpeng Xiao , Yongzheng Mu , Liangjing Cao , Huiyong Liu , Tianyue Lou 
Published: August 2020

Abstract
With the rapid development of the intelligent grid technology and the arrival of the informationalized big data era, the application of computing method to power grid specialty will be a key step for the value of power grid data. Grid data record is not standard, the confusion caused by a device with multiple recording, professional equipment for power grid name recognition and use of data and algorithm based on identification service work will gradually replace artificial recognition, this paper presents a ENMTM algorithm with the grid raw data, which can identify accurately the same equipment with different names.
The equipment name record is an important data of power grid business scenario, however, the same device is easy to describe in different situations or staff’s records, which causes data redundancy and equipment confusion caused by error identification of equipment name. The name recognition is to segment the device name string into a structured element unit which can be calculated by the computer, so as to realize the identification of multiple words with one meaning and devices with different names. In this paper, we study the recognition algorithm of recognition, the establishment of professional word library, segmentation and calculation of similarity recognition. The results show that the ENMFM result error rate is only 3.13%, on the basis of segmentation results and the confusion matrix of device name similarity can be seen that the positive samples has good prediction. In addition, in the experiment, the Top N items of higher similarity were given, which provided the staff with professional judgment to ensure the rigor of work.
The calculation method to solve the name recognition of power equipment can greatly reduce the human work of identifying equipment, improve the work efficiency of power professional business scenarios, and lay a solid foundation for the unified data environment of intelligent grid.
CIM/G graphics automatic generation in substation primary wiring diagram based on image recognition
Authors: Peng Zhang , Yan Geng , Zhongshan Qu , Huiyong Liu , Mouying Li , Shengnan Liu 
Published: August 2020

Abstract
With the further development of smart grids, people put forward more requirements for the intelligent level of the dispatching automation system, and the demands for unified substation standard, realization of unified association and sharing of models, data and graphics are gradually increasing. Relying on the CAD, PDF and other graphic format files of the substation, we use grid recognition technology based on image recognition and OCR to identify standard primitives, topological connections, device names and other information, and automatically draw standard CIM/G files. For the identified CIM/G file, we use related technologies of natural language to associate the primitives in the CIM/G file with the model data, and form the overall solution for a grid substation wiring diagram primitive recognition, text recognition, topology recognition, model association. We also construction substation graphic file recognition and construction system based on the image recognition to support the maintenance of the substation graphic inside the control center. Through the system deployment application, it is verified that the method can effectively reduce the workload of manual maintenance and improve work efficiency.
Refractive Index Sensing Based on Terahertz Spoof Surface Plasmon Polariton Structure
Authors: Chen Xinda , Xiao Huaibao , Lu Guizhen , Zhao Ruiqi 
Published: August 2020

Abstract
Surface plasmon resonance sensing technology has many advantages, such as high sensitivity, no interference to samples and real-time monitoring. It has been widely used in biomedical detection, food safety testing and environmental protection etc. How to increase the measurement sensitivity is a key technology in these applications. In this paper, a stepped surface plasmon resonance sensing structure is proposed, which is easy to be machined. The influence of its structure parameters on the sensing sensitivity is simulated and analyzed. The results show that the sensitivity can be increased to 2.44THz/RIU by optimizing the structure parameters when the refractive index of the liquid to be measured is between 1.33 and 1.36.
A new clustering and sorting algorithm for radar emitter signals
Authors: Li MingWei , He MingHao , Han Jun , Tang YuWen 
Published: August 2020

Abstract
The traditional k-means clustering algorithm needs to set parameters manually in radar signal sorting application, which is sensitive to isolated points and prone to “batch” phenomenon, and the selection of initial clustering center has a direct impact on clustering effect. In order to solve the above problems, a radar signal sorting algorithm based on data field and improved k-means clustering is proposed. Firstly, the potential values of all data samples are calculated according to the theory of data field. After the isolated points are removed, the maximum local potential values are found. The nearest sample data is selected as the initial clustering center, and the maximum number of local potential values is selected as the clustering number. Finally, the improved k-means clustering algorithm is used to complete the radar signal sorting. The algorithm can automatically obtain the initial clustering center and the number of clusters, and the clustering results have larger inter cluster distance and smaller intra cluster distance, so the clustering results are better. Simulation results verify the feasibility of the algorithm.
Reconstruction of power fault signal based on big data fusion
Authors: Huijuan Shen , Guoqing Xin , Weiguang Dong , Xiaoqiang LV 
Published: August 2020

Abstract
In order to solve the storage difficulty of power failure signals under big data fusion, which leads to the waste of hardware resources, this paper proposed a Dice-gradient projection for sparse recovery (Dice-GPSR) algorithm based on the compressed sensing theory to reconstruct the fusion signals. Firstly, the algorithm optimizes the support set based on the Dice coefficient measure matching criterion, changes the search direction and iterative search path of the gradient projection sparse reconstruction algorithm, and improves the convergence speed. Secondly, the sparsity of the signal is estimated and the flow of Dice-GPSR algorithm is given. Finally, Dice-GPSR algorithm is used to reconstruct the original signal and compare the reconstruction performance with other reconstruction algorithms. The simulation results show that Dice-GPSR algorithm has higher reconstruction accuracy and reconstruction signal to noise ratio than other reconstruction algorithms.
Research on big data storage and compression method for dual core intelligent meter
Authors: Ming Wei , Xiang You Feng , Qiang Wang , Xiao Feng Shen 
Published: August 2020

Abstract
With the rapid integration and development of cloud computing, big data and smart grid, not only the type and accuracy requirements of the collected data are increasing, but also the storage depth is getting higher and higher. In hardware, the dual port RAM design is used to improve the real-time performance of reading and writing, digital filter is used for preprocessing in software, and “Equivalent Normalization (EN)” is used to improve storage depth. These schemes save hardware storage space and improve data transmission efficiency in practical application. So the advantages of dual-core intelligent power meter will be further exploited and brought into play.
Design and Application Analysis of Intelligent Low-voltage Switchgear Based on Internet of Things
Authors: Qi Jiajin , Wu Feifei , Zhong Hengqiang , Wang Liqun 
Published: August 2020

Abstract
Low-voltage switchgear is a key control device in the power distribution network, which integrates a large number of lines and power electronic components. Once a failure occurs, it will cause serious economic losses. With the continuous upgrade and expansion of the power system construction scale, the traditional low-voltage switchgear can no longer meet the requirements in terms of function or performance, and is replaced by a new type of intelligent switchgear. This paper designs an intelligent low-voltage switchgear based on the Internet of Things, real-time monitoring of temperature and key electrical parameters, and improves the reliability and maintainability of the switchgear.
A Computer Vision Based Detection System for Trash Bins Identification during Trash Classification
Authors: Yu Yue 
Published: August 2020

Abstract
In this study, an image based detection system is designed and applied to identify different trash bins for classification. The CCD industrial camera is used to obtain the RGB format images on the trash disposal line in real time. In order to reduce the effect of environmental brightness, the obtained RGB format images are transformed into HSI color format. According to the calculated saturation and hue values, the threshold of saturation and hue values is set for the following image segmentation, respectively. Then, accurate position information of trash bin is obtained for the subsequent classification processing. This detection system could overcome environmental constraints and improve efficiency for trash classification.
RSS Positioning Algorithm Based on Maximum Likelihood Recursive Estimation and CKF
Authors: Ning Xiao , Shuai Shi 
Published: August 2020

Abstract
In order to improve the positioning accuracy of indoor and dense obstacles, a positioning algorithm based on maximum likelihood recursive estimation and cubature Kalman filter is proposed for the positioning technology based on the received signal strength. The algorithm consists of two steps: initial position estimation and mobile location. Firstly, according to the principle of triangulation, the possible target region of mobile terminal is determined and the region is divided into smaller possible target region step by step. Then, based on the hybrid cooperation of the received signal strength and time of arrival, the nonlinear CKF filter is used to realize the mobile location. Finally, MATLAB is used to simulate the algorithm, and the simulation results show that the proposed method has better positioning performance even in the shadow area.
Simulation analysis of complex electromagnetic environment effect of helicopter engine
Authors: Yan Qiuying , Zhou Xiuqing , Jia Yunfeng , Chen Lei 
Published: August 2020

Abstract
With the improvement of equipment informatization, the adaptability of complex electromagnetic environment of airborne engine equipment is becoming increasingly important. The mechanism and degree of influence of complex electromagnetic environment on engine are quite different, which has seriously threatened flight safety. In order to predict and analyze part of electromagnetic environment faced by airborne engine, FEKO electromagnetic simulation software is used for simulation research. According to the relevant test methods of SAE-ARP5416, SAE-ARP5412, GJB-1389A and other standards of American Society of engineers, the field strength and cable coupling of airborne engine under lightning effect and high field intensity irradiation are predicted by simulation. The conclusion has certain guiding significance for further research on complex electromagnetic field protection of engine.