bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of regions with the least impact on true and fake image classification through reinforcement learning
Authors: Li Wei , Qiao Peng , Dou Yong 
Published: December 2020

AbstractWith the development of artificial intelligence [1-3], convolutional neural networks (CNNs) have made significant progress in image generation and manipulation. The generated images using facial image synthesis methods, e.g., Faceswap [4], Deepfakes [5], Face2face [6], NeuralTextures [7], are very realistic and even difficult to distinguish by human eyes. It poses serious challenges to social and personal security. There are many methods that can detect synthetic facial images with an accuracy rate of over 99%. But the synthetic facial image classification model can only give a true or fake result, and it is impossible to know which part is the discordant area. Therefore, we propose and experimentally verify a method that using reinforcement learning to select the region in the image that has the least impact on the classification model.
Research on Contextual Recommendation System of Agricultural Science and Technology Resource Based on User Portrait
Authors: Zhang Hui , Qin Xiaojing , Zheng Huaiguo 
Published: December 2020

Abstract
Under the new situation of rapid development of information technology and increasingly diversified demands of farmers, agricultural information service is also faced with many problems, such as the traditional information service system is difficult to quickly and accurately find the information required by users in the mass information, and the universal information service form cannot meet the growing personalized needs of users. In view of the above problems, this paper explores the application of user portrait technology in agriculture. Through in-depth analysis of the purpose of drawing portrait of agricultural users, characteristics of the agricultural industry and actual needs of agricultural information service, it builds a user portrait model in the agricultural field. At the same time, the situational recommendation system of agricultural science and technology resources based on user portraits is constructed by comprehensively considering the influence of multidimensional situational factors such as the time, geographical location, categories of agricultural production and changes in users’ interests on the demand for agricultural information resources. Through practical application, the system realizes the individualized recommendation of agricultural information resources based on situational awareness and user interest adaptation, and satisfies the individualized demand of agricultural users for agricultural information better.
Integrated software design of dispersive spectrometer imaging system
Authors: Wang Xiaoyan , Peng Bangping , Li Jie , Sun Li 
Published: December 2020

Abstract
Hyperspectral imaging technology is a new means of ground observation technology, which can simultaneously obtain the geometric image of the target and spectral information. It is the main instrument of high spectral remote sensing data acquisition. In order to facilitate the analysis of the motion imaging degradation mechanism of dispersive spectrometer and the high-precision real-time correction effect, we have developed a software system integrating motion imaging degradation of dispersive spectrometer, restoration correction and quality evaluation. Given the powerful image data processing function of Matlab and C# written form of the structure of the interface height flexibility and convenience, this system is compiled with the C# and Matlab mixed mode. Practical applications show that the software system has the characteristics of reasonable structure, complete functions, stable performance, and open system. It provides technical support for establishing a fast hyperspectral high-precision restoration correction processing platform and improving the accuracy of hyperspectral data, which will speed up the practical application of hyperspectral data.
Identifier and Locator Mapping Service Research
Authors: Liu Feng , Gong Cheng , Tu Rui , Tang Huatao 
Published: December 2020

Abstract
The original TCP/IP architecture has faced some critical challenges from scalability, mobility, security and so on. It also hampered the development of some new network technologies such as multi-homing, traffic engineering. One of the most important reasons is IP address semantic overloading. Academy commonly considered that we should give a clean-slate design for the naming and addressing architecture of the future Internet. “Locator/ID Split” is one of the most important research areas. The scalable flat-labels based mapping service is the kernel of “Locator/ID Split”. HLIM uses hash-based routing to provide a deterministic mapping resolution for the edge network through distributed mapping servers. HLIM satisfies the scalability of the flat-labels mapping service, and can adapt mapping nodes’ dynamic join and exit.
Development of automatic arrange system for disordered components in bulk
Authors: Honglei Ran , Kui Zhang , Yaru Cui , Shengbiao An , Jie Huang 
Published: December 2020

Abstract
Due to the increasingly thin, chip, miniaturized and high-precision electronic components, the samples in many links of the production and testing process of components are scattered and disordered. Meanwhile, the low efficiency of manual testing and the instability of detection accuracy make the intelligent material discharging detection of components extremely urgent. In this paper, intelligent requirements for detection are comprehensively analyzed, and technologies such as machine vision imaging optimization, deep learning feature matching, and tiny sample grasping and placement are deeply studied. An automatic discharging system integrating counting module, defect detection module and automatic discharging module is developed to realize intelligent discharging detection of tiny bulk disordered devices.
Target Locating and Grabbing Algorithm for Robot Prosthesis Based on PSO-RBF
Authors: Zhou Jianbo , Wang Chuanjiang , Sun Xiujuan , Wang Kunpeng , Feng Zhengkai 
Published: December 2020

Abstract
Aiming at the target locating and grabbing problem for a five-degree-of-freedom intelligent robot prosthesis worn by the disabled, an algorithm is proposed. Firstly, the laser rangefinder and attitude sensor installed at the head of the wearer are used to simulate the motion of the human eye to realize the position of the target in the prosthesis workspace. Secondly, the laser ranging information is obtained by the 3D attitude sensor installed at the wearer’s shoulder to obtain the position coordinates of the target relative to the prosthesis shoulder, so as to obtain the position coordinates of the target in the prosthesis workspace. Finally, the PSO-RBF neural network is used to train the samples to obtain the nonlinear mapping relationship between the position coordinates and the joint angle, thus predicting the joint angle and grabbing the target. The simulation and experimental results show that this method can locate the target accurately and calculate the angle of each joint of the prosthesis in real-time, so as to complete the action of target grabbing.
Inverse solution of slave hand for single-port laparoscopic surgery robot based on hybrid Particle Swarm Optimization
Authors: Han Shu , Wang Chuanjiang , Tian Zhaohui , Fan Binghui 
Published: December 2020

Abstract
Because of the particularity of the slave hand of the single hole laparoscopic surgery robot configuration, it cannot meet Pieper criterion, and its inverse kinematics solution cannot be obtained by traditional kinematics model. In order to solve the problems, the screw theory is used to establish the kinematics model for the slave hand of the single hole laparoscopic surgery robot. On this basis, the inverse kinematics is converted into a minimum solution problem. The optimal solution of each joint variable is obtained by using the hybrid particle swarm optimization (HPSO), and then the accuracy of pose matrix is analysed to verify the effectiveness of this method.
Two-stage Topology Control Strategy for Software-defined UAV Networks Against Jamming Attack
Authors: Li Zhiwei , Qiao Wenxin , Lu Yu , Zhao Donghao , Shi Runze 
Published: December 2020

Abstract

Software-defined network (SDN) technology brings new methods to the autonomous control of UAV networks. Aiming at the deterioration of UAV network wireless communication quality caused by jamming attacks, we propose a two-stage topology control algorithm to improve network service quality. The first stage is the redeployment of the control plane consisted by the relay UAVs. We calculate the position of the jammers based on Received Signal Strength Indication (RSSI), and then we first redeploy the position of the Relay UAVs. The second stage is the redeployment of the data plane consisted by the mission UAVs. Mission UAVs that lose control links due to jamming are redeployed according to the historical state of controllers, and other UAVs are redeployed according to the new state of controllers. The performance metric is the weighted average of load balancing, redeployment delay and Signal to Interference plus Noise Ratio (SINR). The experimental results show that compared with the Distance Closest Migration (DCM) strategy and the Distributed Hopping Algorithm (DHA), the comprehensive performance of the proposed algorithm is better.
Multi-feature automatic abstract based on LDA model and redundant control
Authors: Dan Tang , Yu Sun 
Published: December 2020

Abstract

With the continuous popularization of computer application technology and the rapid development of Internet technology, there has been an explosion of information in every field, and more and more information is transmitted and stored on the Internet in the form of electronic text. Automatic summarization can solve the problem that the speed of traditional hand-written summaries cannot keep up with the speed of electronic text information generation. Automatic summarization can use a computer to generate a comprehensive and accurate coherent short essay on one or more documents, so people can quickly understand the main content of the text, which greatly improves the efficiency of people’s learning and work. Nowadays, automatic summarization technology has achieved rich results, but Chinese document summarization is still in the shallow semantic analysis of text, and there are problems such as redundancy of summarization and poor quality of abstract content. In view of the above problems, this article is in the research and implementation of Chinese automatic summarization technology. On the one hand, LDA is used to mine the topic distribution of documents to obtain high-quality abstracts; on the other hand, the similarity between the sentences to be extracted is calculated to remove redundant information.
Calculation of the Shortest Path for Robot to Avoid Obstacles
Authors: Qi Li-hua , Xing Dong-qiu , Li Yan-ni , Cui Jing-na , Gao Xin-wei 
Published: December 2020

Abstract
Obstacle avoidance path was widely used in real life, such as rescue and search, through battle field, robot through obstacles. In this paper, the obstacle avoidance problem of robot was studied. By establishing a mathematical model and considering the speed change of robot when turning, the selection principle and calculation of the shortest path for robot to pass through the obstacle area were discussed.
Global Agricultural Robotics Research and Development: Trend Forecasts
Authors: Zhao Jingjuan , Yang Yanping , Zheng Huaiguo , Dong Yu 
Published: December 2020

Abstract
Agricultural robots have been recognized as one of the emerging technologies with the highest potential in agriculture. Through grasping the research and development trend of international agricultural robots and analyzing the technical hot spots, the strategy or plan of agricultural robots in China can be formulated with a decision-making support. This paper applies the methods of expert consultation, qualitative investigation and quantitative analysis to analyze and summarize the hot spots and frontier of agricultural robot research and the future development trend by tracing the development course of agricultural robots at home and abroad. Based on the analysis of China’s strategic needs and key development directions for the next few years, this paper provides references and suggestions for China’s forefront planning on basic research, technological R&D and industrial layout of agricultural robots in the future.
Spectral evolution of long gamma-ray bursts observed with Konus-Wind
Authors: Svinkin D S , Temiraev Yu R , Frederiks D D , Tsvetkova A E , Ulanov M V , Demin A G 
Published: December 2020

Abstract
We present a preliminary analysis of spectral evolution of 35 long bright gamma-ray bursts (GRBs) detected by Konus-Wind instrument. From the temporal and spectral analyses of the sample, we investigate the evolution of parameters of the smoothly joined broken power-law spectral model (the Band “GRB” function), in particular, we analyse hardness-intensity correlation within a burst. We show that the bulk of bursts exhibit Ep
∝ F

γ
relation with the slope γ ∼ 0.3−0.5, where Ep
is the vFv
spectrum peak energy and F is the energy flux; while a number of events have the smooth initial phase with strong spectral evolution with γ ≳ 1. Finally, we discuss derived the Band function parameters and their evolution pattern in the framework of GRB emission models.
Possible influence of solar and astronomical factors on a climate of Northern Fennoscandia
Authors: Ogurtsov M G , Veretenenko S V , Helama S , Jalkanen R , Lindholm M 
Published: December 2020

Abstract
Eleven proxy records of Northern Fennoscandia and North Atlantic climate variability were analyzed. Correlation of climatic records with (a) a quasi 11-year solar cycle of Schwabe, (b) a quasi 22-year solar cycle of Heil, (c) a quasi 20-year planetary-tidal cycle, related to wobbling of the Sun around the baricenter of the solar system, has been studied. A weak but stable and statistically significant correlation between the climatic proxies of Northern Fennoscandia and a double solar cycle was found to be present through the AD 1700–2000. No evidence of a connection between climatic records and both solar Schwabe cycle and quasi 20-year astronomic cycle were found. Possible physical mechanisms behind the revealed effect are discussed.
The X-ray polarimeter of solar flares for the Interhelioprobe mission: experimental determination of the response of the physical model to polarized x-ray radiation
Authors: Savchenko M I , Kruglov E M , Lazutkov V P , Skorodumov D V , Shishov I I 
Published: December 2020

Abstract
The work is devoted to the study of the characteristics of the PING-M hard x-ray polarimeter using its physical model (PING-P FM). The PING-M instrument is developed jointly by the Moscow Engineering Physical Iinstitute and the Ioffe Institute for the mission “Interhelioprobe”. The operation of the device is based on Compton scattering. The degree and direction of linear polarization are determined by measuring the asymmetry of the scattered radiation field. The device uses active scatterers that register the Compton recoil electron. A useful event is the case when two impulses in the detector-scatterer and in the detector-receiver of scattered radiation coincide. The physical model represents the detector part of the polarimeter. It contains three scatterers and six receivers of scattered radiation – a total of 18 pairs of detectors oriented at different azimuthal angles. As a result of the experiments, the dependences of counting rates in pairs of detectors on the positional angle of the polarization plane of the incident radiation were measured. The modulation depth of this dependence determines the sensitivity of the device to the polarization degree. The sensitivity of the device is estimated.
The nature of the storm activity in the northwest Atlantic during the Holocene and its possible connection with variations in the Earth’s magnetic field
Authors: Vasiliev S S , Dergachev V A 
Published: December 2020

Abstract
The data on the concentration of ions in the core of the Greenland Ice Sheet Project 2 (GISP2) were analysed to find the cause of storm activity in the north-west Atlantic during the Holocene. It was shown that there is cyclical transfer of ionic components with a period of ∼ 2700 years due to changes in storm activity. As a possible cause of storm changes, secular variations in the position of the geomagnetic pole over the past several thousand years have been considered. In particular, the periodicity of fluctuations in the longitude of the north geomagnetic pole was compared with the frequency of intensification of storm activity. It has been demonstrated that the spectra of these variations are similar, from which it is concluded that secular variations in the magnetic field are the basis of the processes that determine the variability of storm activity and climate in the north-west Atlantic during the Holocene.
Quasi-periodic oscillation of the γ-ray burst GRB 190114C
Authors: Dranevich V A , Dmitriyev P B 
Published: December 2020

Abstract
The data obtained by the BAT γ-ray telescope on board the SWIFT satellite in the energy range of 15-350 keV with a time resolution of 64 ms were used to study the temporal structure of the γ-ray burst GRB 190114C emission by means a modified spectral analysis technique. The analysis revealed quasi-periodic fluctuations with main periods of 3.84 s and 2.24 s. Both oscillations start simultaneously, continue throughout of the burst, and are equally modulated. Based on this evidence, it can be argued that all three episodes of the burst were controlled by one “central engine”.
Beam-plasma instability, the features of HXR spectra and polarization in solar flares
Authors: Charikov Yu E , Kudryavtsev I V 
Published: December 2020

Abstract
A one-dimensional quasi-linear beam relaxation leads to the formation of a plateau-like electron distribution function. Of greatest practical interest is the case when the initial velocity of the beam v0 greatly exceeds the thermal velocity of the plasma electrons VT, and the initial velocity spread in the beam ∼Δv0 is small compared with v0. These conditions are usually met for solar flares. The article deals with the features of the energy spectra and polarization of hard x-ray radiation (HXR) in the energy range of 20 -150 keV generated by electrons with a plateau-like electron distribution function. Calculations in the framework of a thick target take into account not only the energy losses of electrons interacting with plasma particles, but also changes in their angular distribution. It is shown that the break down energy of the electron spectrum leads to changes in HXR spectra, as well as the degree of linear polarization. There is a characteristic softening of the spectrum near the break-down energy. HXR polarization increases with quanta energy and can reach tens of percent.
Measurements of the 277 nm photon detection efficiency of the OnSemi MicroFJ-60035 silicon photomultiplier
Authors: Bogdanov A A , Tuboltsev Yu V , Chichagov Yu V , Losev S N , Sokolovskii G S , Krassilchtchikov A M , Kholupenko E E 
Published: December 2020

Abstract
The article describes a method for absolute calibration of the photon detection efficiency of the OnSemi/SensL MicroFJ-60035 silicon photomultiplier by the Newport Power/Energy Meter 841-PE with the 883-UV photodiode sensor head, and the PicoQuant PLS-270 fast diode source of 277 nm ultraviolet emission. The dependences of the power of the detected emission and the number of ultraviolet photons on the distance to the source were obtained. The photon detection efficiency of the silicon photomultiplier was measured to be approximately 8% compared to the 9.6% level claimed by the manufacturer. It was also shown that, within the experimental setup, absorption of the 277 nm emission at paths in the air shorter than 1 m is not significant, and the angular distribution of the emission source is homogeneous. The obtained three-dimensional calibration surface of the dependence of the irradiance on the distance to the detector and the source intensity will be employed for development of a novel camera of the TAIGA-IACT telescope array.
Creation of a theoretical simulation model of orbital referencing of lunar objects’ optical observations taken by space lunar satellite to the selenocentric coordinate system
Authors: Andreev A O , Nefedyev Y A , Nefediev L A , Demina N Y , Bagrov A V , Petrova N K , Zagidullin A A 
Published: December 2020

Abstract
This paper aims at the creation of a selenocentric catalogue of lunar objects’ positions (SCLOP) and development of a theoretical simulation model of orbital referencing of lunar objects taken by space lunar satellite to the selenocentric coordinate system defined by SCLOP. The data produced by the modern space lunar missions serve as the basis for multi-parameter and highly accurate digital simulation model. The results obtained in the work are important and relevant for the development of navigation technologies on creation and orienting of coordinate systems and the study of celestial bodies’ figures. To solve the problems stated in this work, the following new results are produced: a) reliability of coordinate data in modern systems of coordinate and time support for lunar objects is investigated by the robust analysis; b) a method and a software complex for transforming selenographic coordinates (TSC) are developed; c) the software package is tested for work with navigation data and determining planetary parameters; d) a method of adaptive regression modeling (ARM) for transforming coordinate systems and assessing structures and parameters of the selenocentric system (SS) is created; e) an algorithm of multi-parameter identification of SS based on ARM-approach is developed to carry out works on expansion and estimation of the reference selenocentric system; f) a global dynamic selenocentric system is constructed on the basis of optical observations taken at “Clementine”, “LRO”, and “Apollo” missions; g) as a result, a simulation digital model of orbital referencing of lunar objects optical observations, taken by star sensors of lunar satellite and on-board laser interferometer, to the selenocentric coordinate system is developed.
The analysis of Venus’ physical surface using methods of fractal geometry
Authors: Morena Carlos De La , Andreev A O , Nefedyev Y A , Akhmedshina E N , Nefediev L A 
Published: December 2020

Abstract
In this paper, the work on investigating fractal structures on Venus was performed on the basis of observations taken by the “Magellan” spacecraft (NASA). The uncertainties in some data produced by “Magellan” were filled by the information that had been collected before – in “Venera 15”, “Venera 16”, and “Pioneer” missions. During the implementation of the work a digital map of Venus’ surface was built, and its spatial model was created. It is worth noting that the choice of basic level surface on Venus is defined by a certain value of potential or a point on its surface through which the geoid passes. The model of Venus’ physical surface was created use the harmonic expansion into spherical functions of altimetry data the “Magellan” mission. In the present paper, for determining and analyzing fractal dimensions the Minkowski mathematical algorithm, which is a simplified option of Hausdorff-Besicovitch dimension and provides high reliability and accuracy, was used. As a result, fractal correlations of Venus’ geoid anomalies in both longitude and latitude as well as the mean value of fractal dimensions were calculated. The following values of mean fractal dimension for Venus surface are obtained: in latitude – Dβ = 1.003; in longitude – Dλ = 0.98. Based on these values, we may conclude that the topographic model of Venus’ physical surface is close to spherical figure. The comparison between the obtained Venus fractal parameters with the ones of the Earth shows the good agreement.