bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantum particles and the ergosphere of the Kerr metric
Authors: Neznamov V P
Published: December 2020

The existence of the ergosphere of the Kerr metric does not manifest itself in quantum equations for particles of different spins.To justify the Penrose process with energy extraction from the ergosphere, it is necessary to substantiate and prove its existence within the framework of the consistent quantum theory.
Interaction between superconductors and weak gravitational field
Authors: Gallerati A
Published: December 2020

We consider the interaction between the Earth gravitational field and a superconductor in the fluctuation regime. Exploiting the weak field expansion formalism and using time dependent Ginzburg-Landau formulation, we show a possible short-time alteration of the gravitational field in the vicinity of the superconductor.
Impact of weak annihilation contribution on rare semileptonic B
+ → π
+
ℓ
+
ℓ
− decay
Authors: Ali Ahmed , Parkhomenko Alexander , Parnova Irina
Published: December 2020

In the Standard Model, b → s and b → d flavor-changing neutral currents (FCNCs) are not allowed at the tree level and are induced by loop effects. We consider the rare semileptonic B
+ → π
+
ℓ
+
ℓ
− decay, where ℓ = e, μ is a charged lepton. The dilepton invariant-mass spectrum and decay rate for B
+ → π
+
ℓ
+
ℓ
− are calculated in the effective Hamiltonian approach in two cases — by taking into account the weak annihilation diagrams and without this contribution. Our predictions for the branching fraction of the B
+ → π
+
ℓ
+
ℓ
− decay, being dependent on the choice of the B → π form factors, are in agreement with the existing LHCb results within experimental uncertainties. Moreover, accounting for the weak annihilation contributions allows us to get a better agreement with the experimental data on the entire q
2-distribution in the kinematically allowed region, in particular, in its lowest q
2-part. This provides an alternative description of the data than a previous analysis, in which the low-q
2 enhancement seen experimentally was obtained through the long-distance contributions from the light vector mesons.
Spin-parity assignments of excited

Ωb−

-baryons in the Quark-Diquark Model
Authors: Ali A , Dobrynina A , Oleinik E , Parkhomenko A
Published: December 2020

Recently the LHCb Collaboration have found four baryonic states called Ω
b
(6316), Ω
b
(6330), Ω
b
(6340), and Ω
b
(6350) in the

Ξ
b
0

K
−

invariant mass spectrum. Possible spin-parity assignments of these resonances in the Quark-Diquark Model as P-wave baryons are discussed. Parameters of the effective Hamiltonian are determined from the observed spectrum of

Ω
b
−

-baryons and compared with the ones extracted from the mass spectrum of

Ω
c
*

-baryons. Alternative interpretation, in which the three lowest-mass states have the spin-parities JP
= 3/2−, 3/2−, 5/2−, predicts an

Ω
b
−

-baryon with the mass M ≃ 6304 MeV which is not yet seen experimentally.
Optimal observables as a probe of CP violation in the

qq¯→Zγ→vv¯γ

process
Authors: Belyaev N L , Soldatov E Y
Published: December 2020

A possible CP violation effects in neutral currents are predicted in a wide class of theories Beyond the Standard Model (BSM). If such a violation will be discovered, it may shed light on the problem of the baryon asymmetry of the Universe. In this paper, an Effective Field Theory (EFT) approach is used to parameterize the BSM Zγ interaction. The optimal observables technique is applied to probe the CP-even and CP-odd anomalous EFT operator within the NTGC phenomenological model. Additional cut requirements on the photon transverse momentum pT
were considered in order to enhance the possible BSM signal.
What can the CNO neutrinos flux measurement done by Borexino say about 40K geoneutrino flux?
Authors: Sinev V , Bezrukov L , Karpikov I , Kurlovich A , Mezhokh A , Silaeva S , Zavarzina V
Published: December 2020

Borexino collaboration announced the observation of CNO neutrinos flux. Its value appeared larger than expected in case of the Sun high metallicity model. This could be regarded as evidence of large potassium content inside the Earth. The potassium abundance can reach (1.5 ± 1.0)% in the whole Earth and the Earth heat flux can be at the level of 200-300 TW. To resolve the problem a new experiment is demanded with a detector similar to Borexino one but better in backgrounds or a detector with another techniques of neutrino measurement, for example on base of 115In.
Status and Future of Neutrino Astronomy and the Global Neutrino Network
Authors: Spiering C
Published: December 2020

Attempts to build neutrino telescopes at the cubic kilometre scale date back to the 1970s. It took until 2010 when the first detector of this size, IceCube, started data taking. In 2013, IceCube has detected a diffuse flux of cosmic neutrinos, and in 2017 first evidence for an individual source has been obtained. In-depth exploration of the landscape of the high-energy neutrino universe requires even larger detectors, and it requires detectors on both hemispheres of the Earth. Two devices on the Northern hemisphere are currently under construction and started data taking with initial configurations. Further progress in the field calls for global coordination. The instrument to achieve worldwide cooperation and coordination is the Global Neutrino Network, GNN. This review includes a sketch of goals and achievements of GNN.
Intellectual property protection of big data
Authors: Lu Meng
Published: December 2020

With the rapid development of artificial intelligence technology, the application of big data becomes more and more popular in the 21st century. Through unremitting efforts, China has successfully joined the ranks of the big data countries and entered the big data era. However, while people enjoy the convenience of global big data, the problem of intellectual property protection of big data remains to be solved. Based on the analysis of the current situation, difficulties and causes of the intellectual property protection of big data, this paper puts forward the suggestion that the new big data should be an independent object of intellectual property within the framework of the existing intellectual property protection system, in order to provide better protection for big data.
Design of Gamified Tool to make workshops Effective
Authors: Xiong Zhiyong , Xie Jiawen
Published: December 2020

Few organizations have combined workshops with gamification to help to save costs, improve the enthusiasm and output efficiency of participants and reduce various deficiencies. According to the theory of Octalysis, this article proposes Experience-Externalize-Combine-Internalization (EECI model) gamification tool design strategy for organizing concept workshops, and takes a domestic appliance company in China as an example to use the tool in its concept workshop. According to the EECI model, the interaction among participants will promote the externalization of their ideas.
DS-Bit: Delay-Sensitive BitTorrent-Based Data Synchronization Protocol
Authors: Zhu Genwei , Wang Yongli
Published: December 2020

The main purpose of BitTorrent is to download files for individual users, and there are problems such as slow startup speed, insensitive to time delay, and slow synchronization of large-scale network data. This paper analyzes the bottleneck of BitTorrent’s technical framework, and proposes delay-sensitive BitTorrent-based data synchronization protocol (DS-Bit). With the Pre-Connect strategy, we significantly reduces the impact of the delay between nodes in the system on the data synchronization time by sending messages in advance, and the delay-considered TFT rule (DCTFT) that considers the delay optimizes the choice of nodes to send data. Because the transmission rate of DS-Bit is too fast, if it is used for file downloads for individual users, the node that completed the first will exit the system early, which will reduce the total download rate of the system. Therefore, DS-Bit is mainly used for data synchronization between distributed servers.
MixedCache: Enabling Flow Directed Rule-Caching Scheme based on Heterogeneous Cache for OpenFlow
Authors: Yang Jialun , Yang Yi , Liu Jiahao , Liu Rulin , Qiao Peng , Wang Baosheng
Published: December 2020

OpenFlow switches in SDN use Multiple Flow Tables (MFTs) for fine-grained flow control. Commodity switches integrate hardware storage resources such as SRAM and TCAM to store flow tables to achieve high-speed lookups. Many increased flow tables are rapidly exhausting these hardware storage resources, which makes the switches have to balance high-speed search and massive storage. The rule-caching scheme is a popular method to solve this problem, which caches the most commonly used rules into hardware storage resources. The existing rule-caching schemes are based on single hardware storage resources, and they cannot flexibly adjust the caching strategy according to the traffic characteristics. Simultaneously, the deployed commodity switches face the problem of difficulty in changing the size of SRAM and TCAM. This paper innovatively proposes the MixedCache scheme, which makes full use of the hardware storage resources in the switch according to the skewed characteristics of network traffic. MixedCache stores the large flows in SRAM by exact match and stores the small flows in the TCAM by wildcard match. MixedCache does not need to change the size of the deployed switch hardware storage resources, but makes full use of existing resources. Compared with the rule-caching scheme based on the exact match, the cache hit rate can increase by up to 15.61%. Compared with the rule-caching scheme based on the wildcard match, the cache hit rate can increase by up to 29.69%.
Study on multimodal network expansion for hazardous materials based on disruption
Authors: Yu Lutong , Song Liying
Published: December 2020

This paper studies the multimodal network expansion problem for hazardous materials. In this study, the transportation characteristics of hazardous materials and disruption are considered, the mixed integer probability robust model is established with risk and cost as the objective. A numerical case is solved by CPLEX, and the decision of network expansion and flow distribution is obtained. Through the comparison between the robust model and the traditional model, it is proved that the robust model can complete the transport of hazardous materials in the network with lower cost-risk. The paper also provides advice to decision-makers with different risk preferences through the Pareto frontier.
Research on the Influence of Online Learning on Students’ Desire to Learn
Authors: Shi Gengwei
Published: December 2020

Due to the coronavirus pandemic, many students are learning online. Because of the particularities of the online environment, the different study habits of each student and the different teaching characteristics of instructors, the evaluation of online learning differs widely. This paper uses questionnaire to examine the situation of college students’ online learning in China and abroad and the factors influencing their desire for online learning. The study found that the main factors affecting students’ learning desire in the process of online learning are students’ self-learning abilities, teachers’ ICT literacy and hardware equipment conditions.
Key node mining algorithm for directed weighted air quality network based on propagation characteristics
Authors: Song Chen , Zhang Xiankun , Liu Xinqian , Ren Dawei , Dong Mei
Published: December 2020

The decline of air quality seriously affects human life and ecological environment. The blind allocation of governance resources leads to poor improvement. In order to allocate resources reasonably and improve treatment efficiency, a new key nodes mining algorithm for air quality system based on network structure and the characteristics of pollutant transmission is proposed, aiming at resource investing guidance. Firstly, the air quality network is established and its structural characteristics are analyzed. Secondly, according to the diffusion and attenuation mechanism of air pollutants in the network, a bidirectional transmission key node mining algorithm is proposed which takes both the in-links and out-links into consideration. Thirdly, a dynamic independent threshold propagation model in directed weighted network is proposed, and the number of activated nodes is used as evaluation criterion for key node mining results. Finally, experiment is executed on Jing-Jin-Ji PM2.5 air quality network. Experiment results show that the bidirectional transmission key node mining algorithm can get accurate results and good applicability in air quality network.
A Coherence Analysis Model for English Essay Based on Sentence Semantic Graph
Authors: Huang Guimin , Tang Hui , Wang Jiahao , Ye Xuan
Published: December 2020

Aiming at the problem that cannot be solved by the entity-based graph model, we propose a new discourse coherence quality analysis model (sentence semantic graph) by merging entity graph and semantic similarity graph of the text. Firstly, we use an improved coreference resolution module to process the coreference phenomenon in the text, and build a new type of entity graph with the processed results; secondly, we merge the entity graph and the semantic similarity based on the semantic space and get our sentence semantic graph lastly, we analyze the average outdegree of sentence semantic graph to indicate the degree of text coherence. Experiments show that this model is superior to the entity-based graph model and has a good effect on the automatic evaluation of English essay.
Sentiment Analysis Of Movie Reviews Based On Improved Word2vec And Ensemble Learning
Authors: bao Xiaoan , Lin Shasha , Zhang Ruilin , Yu Zechuan , Zhang Na
Published: December 2020

Taking the field of movie review as an example, this paper proposes a sentiment analysis method based on improved word2vec and ensemble learning. The basic design idea is: firstly build the corresponding corpus through new word discovery and use the TF-IDF algorithm to exponentially weight the word2vec word vector, which is used to integrate the semantic relationship between words and the importance of vocabulary information into the model; secondly, to avoid the cumbersome problems of data labeling, the existing algorithms of automatic labeling reviews are improved to increase the adoption rate of data; finally, Stacking algorithm is used to train and classify the emotional data. The proposed model can simplify the domain text representation and improve the classification performance of the model. The experimental results show that compared with existing methods, the accuracy, precision and recall rate of the algorithm proposed in this paper have been improved on film review data.
An implementation of SM4 algorithm based on mask
Authors: Xinchao Li
Published: December 2020

Aiming at the problem of SM4 algorithm resisting power attack, this paper studies the implementation structure and S-box characteristics of SM4 algorithm, constructs the S-box realized by multiplication mask, and designs a semi random mask circuit implementation scheme of SM4 algorithm. In this scheme, the middle values of the first six rounds and the last six rounds of SM4 algorithm are completely random masked, and the intermediate values of the middle 24 rounds are fixed mask, which reduces the consumption of random masks. After security analysis, the scheme can resist the first-order power consumption attack, and has less random number consumption and lower implementation area.
A novel method of extracting geometric features of ships based on GrabCut algorithm
Authors: Zha Jiale , Chen Huaixin , Ren Chengjie , Wang Chenggang , Li Siqi
Published: December 2020

Using remote sensing images to accurately identify ships is of great significance in both military reconnaissance and civil surveillance. This paper presents a method of extracting geometric features of ships based on GrabCut image segmentation. Firstly, by establishing gaussian mixture model of image area, the problem of segmentation of suspected target area is transformed into graph minimum cut, then the suspected target is segmented by iteration energy minimization, and the moment method is used to extract the minimum enclosing rectangle of ship target, so as to obtain the geometric features of ship target. Experimental data analysis shows that compared with the traditional algorithms, the proposed method can quickly extract the geometric features of ships in different directions in remote sensing images, and has strong robustness, which can meet the requirements of target detection engineering.
Predict New App Quality By Using Machine Learning
Authors: Zhong Zhenghuan , Bao Yuhang , Shen Shiyao , Zhou Entong
Published: December 2020

Increasingly, individuals and companies are developing applications and selling them online. Competition between different companies has led to tens of thousands of applications being put on the market for users to choose from. There are numerous functions on the market to give app evaluation. For users, they do not need to contemplate how to select an app for a long time, because user comments and ratings can give them a clear instruction for user to select an app they need from abundant apps. As a result, we would like to explore the possibility. Hence, we think that we can make a prediction function for the prospect of the app market of whether we can make a prediction function for the app market, akin to a weather forecast or stock market forecast. Our group not only wants to know what the future of the app market is, but also want to find out why some high-quality apps are not getting the downloads they should. With the development of AR and VR technology, the future application will combine with these technology to bring user a immersive experience. In addition, high quality application without AR or VR are less competitive. We plan to answer these questions by using machine learning techniques.
A method of positioning and recognition of electronic scale characters based on deep learning
Authors: Xu Zhengguang , Wang Lutian , Niu Siqiang , Kan Guojin
Published: December 2020

Digital characters are widely used in fields such as industry, equipment display and detection. According to the application background of reading recognition of electronic scale in chemical experiment examination of middle school, in order to improve the application of artificial intelligence in the education field, meet the requirements of intelligent examinations, and save manpower, a character positioning and recognition method based on the combination of deep learning and traditional image processing is proposed, which can automatically and quickly identify the reading of digital tube display screen of electronic scale, and according to the test requirements and test sites can automatically determine whether the students’ weighing operation is correct. Firstly, the yolov3 target detection algorithm and deeplabv3plus semantic segmentation algorithm are used to locate the character area of the display screen, and then a single digital tube character is obtained by projection segmentation. Finally, the recognition algorithm based on support vector machine is used to recognize characters. The experimental results show that the method has a high accuracy of positioning and recognition, and can adapt to different lighting, digital tube size and character tilt angle, has certain anti-interference ability, meets the real-time requirements, and has high application value.
Research on Speech Synthesis Technology Based on Rhythm Embedding
Authors: Wu Tianxin , Zhao Lasheng , Zhang Qiang
Published: December 2020

In recent years, Text-To-Speech (TTS) technology has developed rapidly. People have also been paying more attention to how to narrow the gap between synthetic speech and real speech, hoping that synthesized speech can be integrated with real rhythm. A rhythmic feature embedding method for Text-To-Speech was proposed in this thesis based on Tacotron2 model, which has arisen in the field of TTS in recent years. Firstly, rhythmic feature extraction through World vocoder can reduce redundant information in rhythmic features. Then, rhythmic feature fusion based on Variational Auto-Encoder (VAE) network can enhance rhythmic information. Experiments are carried out on the data set LJSpeech-1.0, and then subjective evaluation and objective evaluation are carried out on the synthesized speech respectively. Compared with the comparative literature, the subjective blind hearing test (ABX) score increased by 25%. At that same time, the objective Mel Cepstral Distortion value (MCD) declined to 12.77.
Multi-Camera Panoramic Imaging System Based on Adaptive Brightness Uniformization For The Truck
Authors: Cheng Bang , Sun Tongyi , Cheng Jianghua , Liu Tong
Published: December 2020

With the development of science technology and logistics industry, the transportation of large trucks is also indispensable. It is also accompanied by many traffic accidents. The paper mainly focuses on the problem of blind spots in the parking of large trucks. A panoramic imaging system with six cameras is implemented to improve its safety performance. It mainly includes the realization of modules included simultaneous acquisition of images by multiple cameras, image calibration and correction, top view image generation, image stitching and image fusion. In view of the brightness difference of images acquired by different cameras, we proposed an adaptive brightness uniformization method based on γ-transformation. Meanwhile, we compared the proposed method with various image enhancement methods included histogram equalization, Laplace operator and logarithm transformation. The experimental results in the system demonstrate the superiority of our proposed method compared to others.
Unsupervised stereo image depth estimation of midan recovery structure
Authors: lixianwei  , leidian
Published: December 2020

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Fractal-like frontier structure of avalanches in a sandpile model
Authors: Buzykin A G , Kuznetsov I A , Ipatov A N , Parshin D A
Published: December 2020

The self-organized criticality (SOC) phenomena for dynamical systems with spatial degrees of freedom is commonly observed in application to different aspects of natural sciences. In our study we also consider our sandpile model as such a system. Since the first mention in 1987, a sandpile model, which is a common example of spatiotemporal evolution, became widely applied for avalanche-like processes. With a simple computer simulation we show that an avalanche as a result of natural system evolution has a fractal border structure, and approves SOC phenomena of a sandpile model. We also demonstrate Gutenberg-Richter dependence for avalanche process in a sandpile model.
Comparative analysis of the optical and physical properties of InAs and In0.8Ga0.2As quantum dots
Authors: Salii R A , Mintairov M A , Mintairov S A , Nadtochiy A M , Kalyuzhnyy N A
Published: December 2020

Heterostructures with embedded layers of single InAs and In0.8Ga0.2 As quantum dots (QDs) in a GaAs matrix have been obtained by metalorganic vapor-phase epitaxy. The photoluminescence spectra of these QDs have been measured in a wide temperature range and the analysis of the photoluminescence peaks behavior has been carried out. As a result, it have been found that the In0.8Ga0.2 As QDs has better size uniformity and contains a smaller number of defective islands in comparison with InAs QDs.
Influence of carbon in the sp1 hybridized state on the structure of PbSe thin films
Authors: Razina A G , Kazakov V A , Ashmarin A A , Kochakov V D , Balobanov R N
Published: December 2020

The optical reflection spectra of PbSe films and PbSe films coated with a layer of linear chain carbon were studied by IR Fourier spectroscopy in the wavelength range of 1-16 μm. In all IR spectra of the samples, two minima were observed, related to plasma fluctuations of free charge carriers and related to the PbSe and PbSeO3 phases. It was found that the PbSe film coated with a layer of linear chain carbon is less oxidized. This conclusion is confirmed by the results of x-ray structural studies of the samples. The results showed a decrease in the percentage of oxygen-containing phase PbSeO3 by 2-4 times.