bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unsupervised stereo image depth estimation of midan recovery structure
Authors: lixianwei  , leidian  
Published: December 2020

Abstract
The stereo image depth estimation is an important fileld in computer vision. At present, most of the researches on depth estimation based on deep learning make use of the mathematical characteristics of the image, such as left-right consistency and pixel distribution characteristics. In this paper, we pay attention to the relationship between the grid representation, which is a distance representation mode of biological system, and the depth representation. Inspired by the concept of Fourier decomposition, we propose a median recovery network structure. The Experiment shows that this network structure has a certain effect on depth estimation.
EfficientNet based recognition of maize diseases by leaf image classification
Authors: Liu Jiangchuan , Wang Mantao , Bao Lie , Li Xiaofan 
Published: December 2020

Abstract
For the research on the recognition and classification of maize leaf disease pictures, this paper proposes a method of fine-tuning model parameters based on transfer learning EfficientNet, which can improve the accuracy and speed of network recognition for a small sample of maize disease dataset. First of all, perform data cleaning and data augmentation on the dataset to obtain richer image data; then, transfer the pre-trained model obtained by EfficientNet training on ImageNet to this model method; finally, the last layer of EfficientNet classifier replace with 8 classes of softmax classifier, and train the entire network to obtain a training model for maize disease prediction. In order to verify the robustness and accuracy of the method proposed in this paper, test verification was carried out in the test dataset with VGG-16, Inception-v3 and Resnet-50, respectively. The experimental results show that the training speed of the network model proposed in this paper has been significantly improved, and its recognition accuracy is far better than other networks with a maximum of 98.52%, which can realize agricultural production applications.
A Military Named Entity Recognition Method based on pre-training language model and BiLSTM-CRF
Authors: Lu Yiwei , Yang Ruopeng , Jiang Xuping , Yin Changsheng , Song Xiaoyu 
Published: December 2020

Abstract
Military named entity recognition is the basis of the military intelligence analysis and operational information service. In order to solve the problems of inaccurate word segmentation, diverse forms and the lack of corpus in military texts, the author proposes a method of military named entity recognition based on Pre-training language model. On this basis, and taking advantage of Bi-directional Long Short-Term Memory (BiLSTM) neural network in dealing with the wide range of contextual information, the BERT-BiLSTM-CRF named entity recognition model was constructed. The experimental results on the tagged military text corpus show that the extraction effect of this method is better than that of the traditional methods.
A Fast Image Template Matching Algorithm Based on Normalized Cross Correlation
Authors: Cui Zhongjie , Qi Wenfa , Liu Yuxin 
Published: December 2020

Abstract
Image matching algorithms based on image gray value are commonly used, which can achieve high matching accuracy. Among them, the Normalized Cross Correlation (NCC) method has high accuracy and strong adaptability, however it has the disadvantages of high computational complexity and slow calculation speed. By using dynamic programming strategy, a fast template matching algorithm based on NCC is proposed in this paper. At the same time, by calculating the cumulative sum of pixel values and the sum of squares of pixel values, and using the down sampling process, the calculation time and complexity are greatly reduced. Experimental results show that the proposed method has the same matching accuracy as the existing algorithms, and further improves the image matching efficiency.
An improved ORB-SLAM2 algorithm based on image information entropy
Authors: Ren Xiaokang , Wang Yongye , Wang Hongxiang , Li Xingzhen , Liu Xingxing 
Published: December 2020

Abstract
Aiming at the feature point extraction process in visual ORB-SLAM2, a visual SLAM method based on information entropy is proposed. In the process of ORB-SLAM2, due to the uncertainty of illumination and surrounding environment information, when the environment information is reduced, the number of feature points is likely to decrease dramatically, which results in the failure of SLAM process. In order to solve the above problems, a visual SLAM method based on image information entropy is proposed. According to the information entropy of the image, the amount of information is determined, and the image with low contrast and small gradient change is screened. The image is enhanced, and the feature points that can represent the image information are extracted as much as possible as the correlation basis of adjacent frame matching and key frame matching. In order to improve the performance of the mobile robot system, the local and global optimization of cumulative error of position and attitude is carried out by combining the optimization method of attitude graph.
The Research of Single Image Super-Resolution Based on the Generative Adversary Networks
Authors: Duanmu Chunjiang , Zheng Zhe 
Published: December 2020

Abstract
In order to enhance the visual effects of the reconstructed images in the single image super-resolution, and solve the problem of instability of the training phase of super-resolution with generative adversary network (SRGAN), a new super-resolution model is built with more depth and width, and the corresponding super-resolution algorithm is proposed. The network structure of the original SRGAN is modified, so that deeper and wider convolutional networks can be used with high efficiency. Furthermore, the loss function is employed to balance the training of the generative network and the discriminator network, and solve the instability problem in the training phase. The training images for the network are obtained from the database of ImageNet on the web as other researchers. Experimental results show that images reconstructed by the proposed algorithm has better visual effects than those by the original SRGAN. In addition, the objective measures of PSNR and SSIM of the reconstructed images have also been improved.
Statistical Method of Bubble Distribution in Ship Wake Based on Digital Image
Authors: Zhai Yuting , Wu Feng , Cheng Zhanxin 
Published: December 2020

Abstract
A large number of bubbles are formed in the wake of a ship when it is sailing. Statistical analysis of the wake bubbles can infer the important information of the ship such as draft, ship width and speed, which is of great significance in the military field. The experimental device is used to simulate the actual wake bubbles in this paper, and the detection method combining the sobel operator and the regionprop function is used to make effective statistics on the wake distribution. Experiments show that this paper can perform distribution statistics of wake bubbles in different situations and obtain better statistical results.
Hyperspectral Image Dimension Reduction and Target Detection Based on Weighted Mean Filter and Manifold Learning
Authors: Jiang Yihe , Wang Tao , Chang Hongwei , Su Yanzhao 
Published: December 2020

Abstract
Hyperspectral images have many bands, resulting in a high data volume, which complicates subsequent data processing. Using manifold learning methods to reduce the dimension of data is conducive for subsequent use. However, traditional manifold learning methods are easily disturbed by spectral uncertainty, and are primarily used for hyperspectral image classification. This paper proposes an improved manifold reconstruction preserving embedding algorithm based on weighted mean filter (WMF-IMRPE), that is not easily affected by spectral uncertainty and has excellent target detection performance. The original hyperspectral image is processed by the weighted mean filter to eliminate the influence of noise and reduce spectral differences between the homogeneous ground objects. The spectral angular distance then replaces the Euclidean distance in the original MRPE algorithm to select neighbourhood pixels, reducing spectral uncertainty interference. The experimental results show that the low dimensional features extracted by the WMF-IMRPE algorithm have better distinguishability, and the algorithm further improves the target detection accuracy. The WMF-IMRPE algorithm’s hyperspectral image target detection performance is superior to other similar algorithms.
Design of a dual-issue RISC-V processor
Authors: Hongsheng Zhang , Jiang Zekun , Li Yong 
Published: December 2020

Abstract
A dual-issue 32-bit RISC-V processor is designed and reported. In order to evaluate the performance of the dual-issue processor, a single-issue processor based on the open source RISC-V instruction set architecture is first designed for reference and it is also the base of the dual-issue processor. The single-issue reference processor, which has a 5-stage pipeline, supports base integer instruction set, integer multiplication and division and compressed instructions, has passed the corresponding functional and compliance tests. The dual-issue processor extends the pipeline to dual-issue and introduces additional processing to solve data hazards in the pipeline. The evaluated result of the dual-issue processor shows that it has significant performance improvement than the single-issue processor.
Research and Implementation of Seq2Seq Model Chat Robot Based on Attention Mechanism
Authors: Luo Weiyao , Wu Di 
Published: December 2020

Abstract
With the continuous development of deep learning technology, computers can not only understand the natural language input by users, but also reply to the sentences used for input. This paper designs an intelligent chat robot based on Attention mechanism and Seq2Seq model. It uses jieba word segmentation tool and Word2vec to convert sentences in corpus into semantic vectors, and then trains and tests the model through TensorFlow platform. The experiment compares whether the Attention mechanism is added or not, and proves that the model added with Attention mechanism has better effect than the traditional Seq2Seq model, and performs better in actual dialogue.
Construction of intelligent testing system for electronic components
Authors: Kui Zhang , Yaru Cui , Hailong Zhao , Shengbiao An , Jie Huang 
Published: December 2020

Abstract
In order to solve the problems such as unreasonable plan, opaque process, insufficient flexibility and excessive manual participation in the process of screening, identification and quality consistency inspection of electronic components in China, a software and hardware construction scheme of intelligent detection system for electronic components is proposed, which integrates the cutting-edge technologies such as machine vision, deep learning, IOT(internet of things), data mining. Relying on the National Semiconductor Device Quality Supervision and Inspection Center, part of the construction work has been completed, and the information, automation and intelligence of the testing business have been realized.
Research on Control Positions Allocation Based on Controller Workload
Authors: Jin Shazhou , Zhang Yong , Yan Danqing 
Published: December 2020

Abstract
With the rapid development of the civil aviation industry, more and more aircraft sorties operate within limited airspace resources. It is necessary to finely manage the equipment resources of sectors/control areas and control units to ensure the safety of aircraft operations. In order to ensure the safety of the control operation, each job of the control position of the air command should be reasonably allocated to achieve the purpose of optimizing the allocation of control resources. Firstly, the factors that affect the control positions for air command and the various components that constitute the workload of the controller are studied. Then, the three-scale Analytic Hierarchy Process (AHP) is used to determine the weight of each factor that affects the position allocation. It is to establish the workload system that affects the control position allocation. Finally, a control position allocation method for air command based on the workload of the controller is proposed in the case of ensuring the safety of the control operation.
Entrainment matrix for BSk energy-density functionals
Authors: Kantor E M , Gusakov M E 
Published: December 2020

Abstract
The entrainment matrix is an important parameter of superfluid hydrodynamics and is extensively used to model, e.g., neutron-star oscillations and glitches. Here we present a detailed step-by-step algorithm to calculate this matrix for a series of modern BSk energy-density functionals. Using it, both the entrainment matrix and equation of state can be determined self-consistently, within the same microscopic approach.
Analysis of analytical and numerical dynamic lunar ephemerides
Authors: Zagidullin A A , Usanin V S , Petrova N K , Nefedyev Y A , Andreev A O 
Published: December 2020

Abstract
This work considers the analysis of libration dynamics of the planets’ moons. To study such processes, it is necessary to use methods for investigating complex systems, as an influence from neighboring celestial bodies on spin-orbital motion of a moon should be taken into account. This fully applies to the Moon’s rotation about its axis. The construction of modern theories of the physical libration of the Moon (PhLM) is based on gravimetric, seismic, satellite observations, and lunar laser ranging, which in its turn has allowed to increase the accuracy by several orders of magnitude compared to the PhLM theories of the end of the 20th century. To satisfy the modern requirements for accuracy of the physical libration theory, it is necessary to apply a precise ephemeris of the Moon’s motion. In this paper, the DE421 modern numerical ephemeris is analyzed. The features of its construction and practical application are studied. The accurate values of ephemeris parameters are produced and an algorithm for determining the Moon’s center of mass coordinates and establishing the angles of physical libration on the basis of DE421 is developed. As a result, a comparative analysis of the physical libration angles with the values produced by the analytic theory of physical libration is conducted. The calculations are made over a time period of 800 years. The comparative analysis shows that significant differences in the ephemerides of 15 and 80 arc seconds in longitude and latitude respectively are caused by the planets’ gravity field, and those impacts should be considered when working with the analytic ephemeris.
The effect of change in entropy on primordial nucleosynthesis
Authors: Yurchenko Vlad Yu , Ivanchik Alexander V 
Published: December 2020

Abstract
One of the most important features of the Universe in studies of evolution of the early Universe is conservation of entropy of particles being in thermal contact with each other in comoving volume. Destruction of any particles (for example, annihilation of electrons and positrons) or thermalization processes lead to transfer or sharing of entropy. In this paper hypothetical process of occurrence of thermal contact between photons and axions in the early Universe is considered to examine the effect of the process on yields of D,4He and 7Li in Primordial Nucleosynthesis. It is found that change in photon entropy caused by thermalization of photons and axions lead to stronger overlapping between the intervals of acceptable values of η for 4He and 7Li. At the same time interval of acceptable values of η for D/H is shifted in opposite direction relatively to 4He.
The development of projective metric method for analyzing star positions
Authors: Kostina E Y , Andreev A O , Nefedyev Y A , Demina N Y 
Published: December 2020

Abstract
In this work, the projective geometry method was used for analyzing star clusters. When carrying out the calculation procedures, it was considered that non-linear distortion factors had been removed from the measured stars’ coordinates. Determination of stars’ proper motions is of great practical importance, as the inertial coordinate system relies on catalogues of star positions, and it is necessary to be aware of the stellar reference marks’ time shift. In the practical part of the work, the breadboard simulation of the use of the proposed method for determining stars’ proper motions is performed. At the same time, it is supposed that at 90”/mm breadboard image scale the absolute values of proper motions do not exceed 0.050” over a period of 50 years. As result, determined that the standard deviation of the calculated proper motions μα
, μβ
from their true value is 0.0065 arcseconds for the first model (when the proper motions of the reference “stars” are negligible and equal to 0) and 0.0072 arcseconds or the second model (when the reference stars do have real proper motions). These values indicate the high accuracy of the used method.
Probing ionospheric TEC near South Geomagnetic Pole by use of GNSS observations
Authors: Zheltova KV , Trofimov D A , Petrov SD , Smirnov SS , Chekunov IV , Serov Yu A , Troshichev O A 
Published: December 2020

Abstract
Total electron content (TEC) is one of the most important parameters of the Earth’s ionosphere. This parameter determines the degree of ionization and the dispersion properties of the ionosphere. Now the most affordable way to determine ionospheric parameters is the use of radio signals from the global navigation satellite systems GLONASS, GPS, GALILEO and BDS. TEC is now being routinely monitored by global GNSS networks almost everywhere on Earth except geomagnetic poles. The observations of TEC at the Vostok antarctic station were carried out jointly by Saint Petersburg State University and Arctic and Antarctic Research Institute. Observations were started in 2016 and continued to this day with small interruptions. In this work we have processed the GNSS observations with RTKLIB and GeNeSiS software packages. As a result of this processing we have estimated the TEC from code and phase observables. The resulting TEC time series were analysed and compared to the global TEC map. A reasonable accordance with previous results has been reached. However, our results are specific to the South Geomagnetic Pole and reflect ionospheric behaviour near it. It can be seen that TEC changes more abruptly near the Geomagnetic Pole than elsewhere. These results may potentially augment our knowledge about ionosphere structure and evolution near the geomagnetic poles.
Frequency-phase synchronization in visually induced MEG signals of the human cerebral cortex
Authors: Isaeva I G , Panischev O Y , Demin S A , Ildiryakova A R 
Published: December 2020

Abstract
In paper, using the Memory Functions Formalism, we carry out a comparative analyzing the induced neuromagnetic responses of the cerebral cortex of healthy people to the two visual flickering stimuli. At the first stage, based on the correlation coefficient, we determined the regions whose interaction (on average for the group) for different stimuli differs most strongly. Next, we analyze the phase portraits of dynamic orthogonal variables and the memory function power spectra. We have found the differences in dynamic, spectral and stochastic characteristics of the magnetoencephalogram signals of the cerebral cortex under the influence of the considered stimuli. The findings provide an opportunity for a deeper understanding of the processes of the spread of excitation in the cerebral cortex with visual stimuli.
Masers with selective excitation of Talbot-type supermode
Authors: Oparina Yu S , Savilov A V , Schegolkov D Yu 
Published: December 2020

Abstract
The concept of an electron maser based on the excitation of the single supermode formed by a fixed set of transverse eigenmodes is proposed. A possible approach to form a high-Q supermode inside a simple cavity is the use of the Talbot effect, namely, periodic reproduction of the transverse structure of a multimode wave field in an oversized waveguide.
Effect of passivation on the n-InP optical and electronic properties
Authors: Ivanova E V , Dementev P A , Lvova T V , Lebedev M V 
Published: December 2020

Abstract
The effect of sulphur surface passivation on the optical and electronic properties of InP was investigated. In the work, the approach of simultaneous measurement of the dynamics of the absorbed current and cathodoluminescence under continuous electron beam irradiation is used. This approach allows us to study the trapping of charge by traps and their influence on the luminescent properties. It was shown that hole traps are observed in the samples; moreover, the localization of a positive charge leads to an increase in the luminescence intensity. Passivation was found to significantly reduce the number of hole traps.
Strength of upstream and downstream chambers, collectors, heat exchange tubes of gas aerial cooler apparatus, and assessment of life extension
Authors: Makhmudov Khairullo , Saveliev Vladimir 
Published: December 2020

Abstract
The gas aerial cooler apparatus (ACA) were characterized. These ACA serves for cooling the service gas. The analysis of engineering documentation was carried out in order to establish the range of amenable to control parameters of the engineering status, to carry out the recognition of failures (if ever) and damages that could led to a failure. The applied method of acoustic emission (AE) yielded total and direct information on the defect growth (hazard rate) in materials of operational facilities. The AE control might be used as a determinative procedure for the selection of criteria needed for assessing the status of diverse structures as well as for release to continued operation the production facilities (with providing a necessary level of safety during the enterprise operation) because the AE control enables to detect a fault at early stage of its growth. By applying the AE method for elaboration of a control of specific objectives, complicated problems related to generation of elastic waves from growing cracks and their transformation during propagation up to sensors were successively resolved.
3C-SiC growth by sublimation in vacuum technology optimization
Authors: Shakhov L V , Davydov V Yu , Lebedev A A , Seredova N V , Nikitina I P , Zubov A V 
Published: December 2020

Abstract
Results of an epitaxial growth of 3C-SiC epilayers on hexagonal 6H-SiC, 4H-SiC substrates are described. The study of the obtained epitaxial layers grown on 6H substrates was made by photoluminescence and optical microscopy. Also, an image analysis of the interface of 3C-SiC epitaxial layers with 6H, 4H, and 15R substrates obtained by Transmission Electron Microscopy (TEM) are presented. Difference between the layers on the Si and C faces are discussed.
Regular black holes and self-gravitating solitons replacing naked singularities
Authors: Dymnikova Irina 
Published: December 2020

Abstract
We present a systematic review of the basic properties of regular black holes (RBH) and self-gravitating solitons replacing naked singularities including electrically charged RBHs and electromagnetic spinning solitons, predicted by analysis of regular solutions to dynamical equations with metrics of the Kerr-Schild class governing their behavior. We briefly outline observational cases which display and verify their fundamental generic features which are the de Sitter vacuum interiors and relation of their masses to spacetime symmetry breaking.