bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model of interaction with foreign and national scientific, profit and non-profit organizations, as well as individual scientists within the framework of research infrastructures established in the territory of the Russian Federation
Authors: Malyshev A S , Kolesnikova E A , Nurakhov N N , Balyakin A A , Nurbina M V , Tsvetus N Yu , Zaplatina T S 
Published: March 2022

Abstract
The article considers the issues of methodological and regulatory support for interaction with foreign and national scientific, profit and non-profit organizations, as well as individual scientists in the framework of research infrastructures established in the Russian Federation. The research infrastructures in the neutron field serves as an example, based on which a promising model of international cooperation, aimed at mitigating the negative impact of basic factors that arise when organizing effective interaction with foreign scientific organizations, is considered. The model represents the mechanisms that determine the properties and states of interactions between subjects and describes the processes of forming connections within the framework of the research infrastructure. The article also examines the successful experience of implementing multilateral scientific and technical cooperation within the framework of the activities of existing platforms, associations, forums, etc.
Problems of legal regulation of the protection of the results of scientific activity and technological transfer: the experience of the European Organization for Nuclear Research
Authors: Ponomareva D V , Kubyshkin A V 
Published: March 2022

Abstract
In this article, the authors have made an attempt to identify the main problems associated with the legal regulation of the protection of the results of scientific activities and technological transfer on the example of the experience of the European Organization for Nuclear Research (CERN). The authors formulate the key directions of the development of intellectual property law in relation to the protection of the results of scientific activity, especially objects of the “megascience” class. In conclusion, the possibility of using the European experience of legal regulation of the protection of intellectual property rights to these objects in the Russian Federation is considered, including in the context of technology transfer.
Protection of the results of scientific activity: ethical and legal aspects
Authors: Barabashev A G , Ponomareva D V 
Published: March 2022

Abstract
Within the framework of this article, the authors make an attempt to analyze the ethical and legal foundations of regulating the issues of protecting the results of scientific activities, including those created by artificial intelligence systems. In the introduction, the authors analyze the general issues of regulating the protection of scientific results created through the use of the latest advances in technology. The article also draws attention to the experience of foreign states and supranational organizations in the field of patenting the results of scientific activities created by artificial intelligence systems, patent trolling as a vivid manifestation of the ethical and legal issues of protecting intellectual property rights, with particular emphasis on relevant judicial practice. In conclusion, the authors note the main trends in the development of legislation in the field under study, formulate recommendations to the domestic legislator based on the study of foreign experience in the legal regulation of artificial intelligence. This article will be useful for researchers, legal practitioners, graduate students, students and everyone who is interested in the problems of intellectual property rights in the context of using the latest technologies.
Megascience, Metascience and Genomic Research – Convergence, Synergy and Correlation. Common points in legal regulation
Authors: Kubyshkin A V , Ponomareva D V 
Published: March 2022

Abstract
The article is devoted to the analysis of the interaction of various branches of knowledge from the point of view of their convergence, the achievement of a synergistic effect and correlation. Metascience in Western sources is often viewed as a methodological discipline, a kind of science about science, which contributes to increasing the authenticity and reliability of scientific results. Nevertheless, metascience can also be viewed as a result of the transition from quantity to quality in one or several branches of knowledge. Both the first and second approaches are methodologically promising. The authors trace the relationship between megascience and genomic research, for example, in the technological basis of these areas of scientific research - the latest and rapidly developing technologies, the use of complex and expensive scientific complexes that allow for unique research of a high degree of complexity. The conclusion is made that the similarity of the technological basis gives rise to the similarity of the emerging social relations and the challenges facing the legal regulation of these relations. Based on the results of the research, the authors offer recommendations on the formulation of principles and approaches to legal regulation.
Improving the legal mechanisms of interaction between national, international and foreign entities in the implementation of the Megascience projects
Authors: Gorlova E 
Published: March 2022

Abstract
A present-day scientific experiment requires organized and self-organizing interaction of hundreds and thousands of specialists. We can offer some recommendations for improvement of the legal mechanisms of international scientific and technical cooperation. The creation of a unified national infrastructure supporting international scientific and technical cooperation of Russian organizations and research teams should be singled out as a separate project within the framework of a federal target program. It seems necessary to develop a special contract system for organizations participating in the Megascience projects, as well as a procedure for selection, monitoring and reporting standards. The issues of recruitment and training of the personnel involved in the functioning of the infrastructure of the Megascience projects are of particular relevance: competency profiles of experts in the management of international research projects should be developed, and the issues of their educating should be resolved as well. An important mechanism of interaction between national, international and foreign entities within the framework of the implementation of the Megascience projects is the creation of a single specialized web portal that would combine the resources of all the participants, simplify and accelerate interaction between research teams, and provide users with the necessary methodological support, in the national language as well. The improvement of legal mechanisms for attracting international and foreign entities for the implementation of the Megascience projects should be based on the creation of an infrastructure that provides administrative, financial, organizational, and legal support for research teams. At the same time, this activity should take into account the opinion of scientists themselves and never directly interfere in scientific and technological processes, allowing for a flexible approach to solving various issues.
Research on Architecture of Local Domain Application Based on Radio Frequency Identification
Authors: Li Tingshun , Liu Zesan , Wang Dadi , Ma Suling 
Published: March 2022

Abstract
Along with the speedy improvement of sensing systems, wireless transmission technology, and faster and faster chip, the scope of application of the Internet of things (IoT) has substantially and rapidly increased, and research and innovation that integrate artificial intelligence. At same time, campus application construction as the foundation of intelligence education is being on the march, which demands newly emerging computer technologies support, such as IoT, AI, Big data and so on. In this study, we provide an architecture of smart campus based on Radio Frequency Identification (RFID) which can offer new solutions to solve some problems such as position, identification, store information and so on because of its strong anti-interference capability and non-intrusiveness, as core technology of IoT. Then based on this architecture, a kind of intelligent campus application system scheme is proposed, which can realize the function of automatic identity recognition, book reading, internal consumption, student positions. Moreover, for some special exact location demands, this paper proposes a method to precisely measure RFID tag location based on triangulation principle, which is embedded in the architecture. The application of Internet of things technology can better promote some origination or company efficiency, such as more efficient service for teachers’ and students’ work, study and life.
Hierarchical Attention Networks for Multimodal Machine Learning
Authors: Liang Haotian , Wang Zhanqing 
Published: March 2022

Abstract
The Visual Question Answering (VQA) task is to infer the correct answer to a free-form question based on the given image. This task is challenging because it requires model handling both visual and textual information. Most successful attempts on VQA task have been achieved by using attention mechanism which can capture inter-modal and intra-modal dependencies. In this paper, we raise a new attention-based model to solve VQA. We use question information to guide model concentrate on special regions and attribute and hierarchically reason the answer. We also propose multi-modal fusion strategy based on co-attention method to fuse both visual and textual information. Under the same experimental conditions, extensive experiments on VQA-v2.0 dataset illustrate our method performance exceeds the performance of some state-of-the-art methods of the same experimental conditions.
Design of Large Monitoring System Based on Heterogeneous Network
Authors: Liu Shuai , Tang Xubo , Zang Chunhua 
Published: March 2022

Abstract
In order to ensure the quality of tobacco products, it is necessary to strictly control the environment of tobacco during storage. In order to save manpower and material resources and realize accurate monitoring of the storage environment, a large-scale tobacco storage monitoring system based on heterogeneous network was designed. Combining the cross-regional characteristics of NB-IoT and low-frequency characteristics of LoRa, NB-IoT was used as a wide area network and LoRa as a subordinate local area network to form a two-layer network structure. Its structure includes sensor node and gateway node, and the gateway node is composed of LoRa gateway and NB-IoT module. This paper introduces the composition and working mode of each part in detail.
An IoT Assisted Early Warning System for Smart Grid
Authors: Xie Jinglong , Xiao Xinxiu , Xu Yao , Jin Bing 
Published: March 2022

Abstract
Safety monitoring is an important component in early-warning system, and it is crucial to ensure safe operations in various industries. However, the majority of the existing safety monitoring system suffer some limitations, either they cannot cover the whole working area or their intelligence is inadequate to provide effective early warnings. In order to ensure safe operations in smart grid, we propose an IoT assisted early-warning system. The system employs some latest technologies, such as electronic fence, video surveillance, UWB positioning and the SVM model, to achieve real-time accurate positioning of operators. Moreover, it can detect the distance between operators and dangerous areas, and the system can alert the operators when they are approaching the dangerous areas. Our proposed approach helps to make the early warning system more intelligent and more automated, improving safety supervision and providing effective security management for smart grid.
Indoor Target Detection and Pose Estimation Based on Point Cloud
Authors: Zhang Di , Zhang Weimin , Li Fangxing , Guo Ziyuan , Nie Fuyu , Jin Jiahao , Wang Yang , Shi Yongliang , Huang Qiang 
Published: March 2022

Abstract
The indoor environment faced by service robots is complex, with plenty of objects and mutual occlusion, traditional algorithms cannot detect the target and estimate its pose accurately. We propose a set of target detection and pose estimation algorithm based on point cloud templates to solve the above problems. Through the segmentation and clustering of scenes, the application of the algorithm in complex scenes is realized. Based on the key points to estimate the pose of the target, we achieve the adaptation to mutual occlusion. Besides, we propose an improved RANSAC algorithm, which maintains the accuracy of the original algorithm while greatly improving the speed. Finally, we test the algorithm through the open source model library, simulated and actual scenarios, compared with the SAC-IA algorithm, our algorithm improves the time by 89%, and in the application of complex scenes, the error of the pose estimation is at the millimeter level.
Pattern Recognition and Analysis: Neural Network using Weighted Cross Entropy
Authors: Guo Bingting , Chen Shuixuan , Hong Zhaobin , Xu Guoqi 
Published: March 2022

Abstract
In order to identify arrhythmia more simply and efficiently, one-dimensional convolutional neural network is used to extract electrocardiogram signal features and a neural network model based on cardiac beat is established, which can identify eight major ECG arrhythmia types. The cross entropy loss function is weighted according with the data distribution to solve the data imbalance problem. Experiments verify the effectiveness of the weighted cross-entropy loss function in ECG recognition, which improves the accuracy of all kinds to more than 99.5% and the sensitivity of all kinds to more than 90%. Compared with other models, this model can improve the performance of ECG arrhythmia recognition.
Visual Pattern Recognition: Identity Authentication Technology Based on Eye Movement Patterns
Authors: Zhao Jingjing , Wang Xiaoming 
Published: March 2022

Abstract
Existing identity authentication techniques are primarily based on passwords or physical characteristics and are therefore prone to theft and forgery. This can lead to potential security risks for identity recognition. In this paper, we propose a new identity authentication technique based on reading eye movements by introducing eye tracking technology. In this approach, a deep neural network based on multi-input architecture is used to construct a computational model. The model uses the text sequence, the fixation point sequence, and the linguistic feature as inputs, and output the recognition by a neural network. The simulation results showed a recognition accuracy of 89.9%. The eye tracking technique developed in this study may be used as a new and efficient identity authentication method. The data set used in the experiment and the associated codes have been released on GitHub.
Research on an Improved Sliding Extracting Algorithm of Composite Deviation for Wind Turbine Gear
Authors: Zhang Bai , Liu Haofang , Gao Feng 
Published: March 2022

Abstract
One tooth radial composite deviation and one tooth tangential composite deviation are important parameters of wind turbine gears whose operation life cycle can be influenced. An improved sliding extracting algorithm of composite deviation is proposed. It just only calculates those parts that need to be recalculated, avoids a large number of invalid searching calculations, and greatly improves the efficiency. The experimental results show that the improved sliding extracting algorithm of composite deviation has the same results as the traditional extracting algorithm, and the efficiency of the extracting algorithm is improved nearly 100 times. The improved sliding extracting algorithm of total composite deviation is proposed in this paper, and theoretically the algorithm efficiency is one time than traditional algorithm. The algorithms proposed in this paper can improve the efficiency of radial composite deviation and tangential composite deviation, and can be applied to gear singleflank rolling tester and gear double-flank rolling tester, especially in wind turbine gear field.
Application of Similarity Theory and Dimensional Analysis for Helical Gear Fatigue Model Test
Authors: Zhu Chengli 
Published: March 2022

Abstract
Gear fatigue test is an important way to verify the reliability of gears, but the test period is too long and costly, especially for the high-speed and heavy-load helical gears, the working process of them are difficult to simulate in the laboratory. For reducing the cost of gear fatigue test, we can use the scaled similar model to replace full-size gear in the fatigue test, process and the results can be applied to the full-size gear according to the similarity principle. In this paper, the similarity principles of helical gears are established with dimensional analysis method. A scale-up and a scale-down similarity gear models are designed for a helical gear pair, and the fatigue damages of them are analysed under eight-stage load spectrum. The results show that the scaled similarity gear models and the full-size gears have nearly the same fatigue damages. This study can bring us an economic and effective fatigue test method for the helical gears.
Research on Microgrid Connected and Islanded Switching Control Based on Switched System
Authors: Sun Liying , Liu Yang 
Published: March 2022

Abstract
This paper focuses on the switching stability control of microgrid in the process of grid-connected and island operation. Firstly, the grid-connected operation model and island operation model are established, and they are regarded as two subsystems of switched system; then the cross backstepping method is used to design the switching controllers of the two subsystems, and the common Lyapunov function is constructed at the same time. Finally, matlab simulation verifies the effectiveness of the designed controller and switching law.
Inspection of Synchronous Belt in Lifting Appliances
Authors: Chen Hu , Hu Peng , Zhang Pengzhao , Lv Qin , Zhang Qin 
Published: March 2022

Abstract
Introduced the inspection requirements of the main transmission components in the hoisting machinery in the current special equipment regulation; Checked the technical requirements related to safety in the relevant standards of the synchronous belt. Based on the physical structure, failure mode and regulatory standard requirements of the synchronous belt, summarized the inspection method of the synchronous belt.
Design of New Charging Pile Based on Pro/E
Authors: Tan Fenfang , Tan Zhihang , Wu Song , Peng Youping 
Published: March 2022

Abstract
This paper uses Pro/E, CAD and 3Ds max software to complete the modeling design of the new charging post.Firstly, 3D modeling, process analysis and calculation of the new charging pile parts were carried out. Then a solid model was established, according to the injection capacity, clamping force and injection pressure, the injection machine was initially selected, the cycle diagram of injection molding production process was drawn, and the mold opening and closing simulation was carried out. Finally, mold flow software was used to analyze the manufacturing process of the charging pile, virtual simulation of the problems of the injection machine during the injection process, and checking the feasibility of the design.A new type of charging pile is designed which has certain guiding significance for actual production.
Simulation System of Aircraft Surveillance in Airport Terminal Area
Authors: Shen Xiaoyun , Zhai Haosong , Zhang Shuo , Cui Peng 
Published: March 2022

Abstract
Because ordinary users cannot quickly obtain the three-dimensional space position of aircraft in the airport terminal area through a two-dimensional display navigation map, the aircraft surveillance simulation system in the airport terminal area based on virtual reality technology is designed. Through analyzing the Automatic Dependent Surveillance-Broadcast (ADS-B) data, the aircraft motion model is established. The three-dimensional aircraft surveillance simulation system for the airport terminal area is realized by Unreal Engine 4 (UE4). Especially, the changes in flight track and flight attitude about aircraft in the three-dimensional scene are designed. The results show that the aircraft movements can be visualized smoothly and correctly based on ADS-B data. It is helpful for users to observe the aircraft of the airport terminal area and analyze the operation status of the plane.
Research on dynamic aerodynamic characteristics of flying wing model with low aspect ratio
Authors: Zeng Weiyi , Zhao Zhongliang , Yang Haiyong , Li Hao 
Published: March 2022

Abstract
The flying wing with low aspect ratio removes the horizontal and vertical tails and adopts configuration of wing-body fusion, which has better lift and drag characteristics and stealth than the traditional wing-body split configuration. In this paper, with the help of the semi-reflux transient transonic wind tunnel of China Aerodynamics Research and Development Center, a single-degree-of-freedom pitching dynamic force test is carried out on the standard model of flying wing with low aspect ratio, and the mechanism of some cases is analyzed through numerical calculation. The study found that when the fuselage is forced to pitch at f=1Hz: The normal force coefficient curve will form a hysteresis loop in the shape of a spoon; during the pitching process, the angle of attack of stall is delayed from the 40° which is the angle of attack of stall in static case to 45°; the pitching movement will delay the dissipation of the energy of leading edge vortex along the flow direction and increases the vortex suction at the rear of the wing; the flow pattern of the suction surface is similar during the upward elevation process, and spanwise flow is more severe than the static case under the same angle of attack.
A Relative Pose Estimation Method of Non-Cooperative Space Targets
Authors: Liu Ke , Wang Ling , Liu Hanhan , Zhang Xiang 
Published: March 2022

Abstract
In many space missions such as fly-around observing and approaching the targets, the relative pose estimation of non-cooperative space targets is one of the key technologies. In this paper, a relative pose estimation method of non-cooperative space targets based on a monocular camera and a laser rangefinder is proposed. The monocular camera is used to obtain the sequence image of the target. The laser rangefinder is used to solve the scale fuzziness problem of the monocular camera and construct the world coordinate system in real scale during initialization. The camera data and the laser rangefinder data are fused in a tightly coupled form to optimize the estimated pose in continuous pose estimation. The non-cooperative space target images generated by Blender are used for simulation. The results show that the method proposed in this paper has good real-time performance and can estimate the relative pose of non-cooperative space targets accurately and robustly. Compared with the existing methods based on monocular vision, the proposed method does not require the initial pose assumption and can effectively improve the accuracy of the pose estimation.