bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exclusive and dissociative J/ψ production with collinear-improved Balitsky-Kovchegov equation *
Authors: Zhang Shiyi , Cai Shaohong , Xiang Wenchang , Cai Yanbing , Zhou Daicui 
Published: April 2021

Abstract
We extend the hotspot model to include the virtuality dependence and use it to study the exclusive and dissociative

production combined with the dipole amplitude in the target rapidity representation. We determined that virtuality takes effect on a number of hotspots, thus providing a better description of the

production data at HERA. The collinear improved Balitsky-Kovchegove equation in the target rapidity representation is numerically solved and used to fit the

experimental data with a series of hotspot sizes. We infer that virtuality significantly influences the number and size of hotspots. The expression

resulting from the fit with the collinear improved dipole amplitude in the target rapidity representation is more reasonable than the corresponding

originating from the leading order fit, which indicates that the collinear improved evolution equation in the target rapidity representation can provide a relatively good depiction of the exclusive and dissociative HERA data.
AdS/Deep-Learning made easy: simple examples *
Authors: Song Mugeon , Oh Maverick S. H. , Ahn Yongjun , Kima Keun-Young 
Published: April 2021

Abstract
Deep learning has been widely and actively used in various research areas. Recently, in gauge/gravity duality, a new deep learning technique called AdS/DL (Deep Learning) has been proposed. The goal of this paper is to explain the essence of AdS/DL in the simplest possible setups, without resorting to knowledge of gauge/gravity duality. This perspective will be useful for various physics problems: from the emergent spacetime as a neural network to classical mechanics problems. For prototypical examples, we choose simple classical mechanics problems. This method is slightly different from standard deep learning techniques in the sense that we not only have the right final answers but also obtain physical understanding of learning parameters.
Prognosis of stroke upper limb recovery with physiological variables using regression tree ensembles
Authors: Carino-Escobar Ruben I , Valdés-Cristerna Raquel , Carrillo-Mora Paul , Rodriguez-Barragan Marlene A , Hernandez-Arenas Claudia , Quinzaños-Fresnedo Jimena , Arias-Carrión Oscar , Cantillo-Negrete Jessica 
Published: April 2021

AbstractObjective.This study assesses upper limb recovery prognosis after stroke with solely physiological information, which can provide an objective estimation of recovery.Approach.Clinical recovery was forecasted using EEG-derived Event-Related Desynchronization/Synchronization and coherence, in addition to Transcranial Magnetic Stimulation elicited motor-evoked potentials and upper limb grip and pinch strength. A Regression Tree Ensemble predicted clinical recovery of a stroke database (n= 10) measured after a two-month intervention with the Fugl-Meyer Assessment for the Upper Extremity (FMA-UE) and the Action Research Arm Test (ARAT).Main results.There were no significant differences between predicted and actual outcomes with FMA-UE (p= 0.29) and ARAT (p= 0.5). Median prediction error for FMA-UE and ARAT were of 0.3 (IQR = 6.2) and 3.4 (IQR = 9.4) points, respectively. Predictions with the most pronounced errors were due to an underestimation of high upper limb recovery. The best features for FMA-UE prediction included mostly beta activity over the sensorimotor cortex. Best ARAT prediction features were cortical beta activity, corticospinal tract integrity of the unaffected hemisphere, and upper limb strength.Significance.Results highlighted the importance of measuring cortical activity related to motor control processes, the unaffected hemisphere’s integrity, and upper limb strength for prognosis. It was also implied that stroke upper limb recovery prediction is feasible using solely physiological variables with a Regression Tree Ensemble, which can also be used to analyze physiological relationships with recovery.
Surface modification of carbon dots by UV laser radiation
Authors: Stepanova M , Dubavik A , Skurlov I , Zakharov V , Rogach A 
Published: April 2021

Abstract
Carbon dots have been modified using UV irradiation (405 nm laser light). UV irradiation of carbon dots has led to various changes in optical properties, which in turn means photomodification of the carbon dots surface. With an increase in light transmission, we have obtained the increasing intensity of photoluminescence and a blue shift by the laser irradiation of the carbon dots. The proposed method can help to adapt and improve the optical properties of carbon dots and can be used in applications, for example, in the optical encryption field.
Research on Resistance Characteristics of the Self-circulating Evaporative Cooling System for Traction Transformer
Authors: Yan Jing , Xiong Bin , Wen Zhiwei , Liu Ding 
Published: April 2021

Abstract
Compared with the tradition cooling technology, the evaporative cooling technology has the advantage of energy-saving, safety and reliability. So a self-circulating evaporative cooling structure was proposed. The narrow flow channels were designed between disk-type windings. The evaporative coolant flows in the narrow flow channels and takes away the heat loss through phase transition. In this paper the resistance characteristics of the system were studied through experiment based on the 900kVA transformer prototype.
A Study on Key LPWAN Technologies
Authors: Xu Zhiwei , Ni Jie 
Published: April 2021

Abstract
In the ever-changing world of technology, various communication technologies have penetrated people’s daily lives, which has greatly improved people’s work efficiency and quality of life. By means of the Internet and various LAN technologies, users can remotely control their smart home appliances. In addition, the commercial use of 5G networks has contributed to the integration of communication technologies with people’s work and life. Meanwhile, each communication technology has its own advantages and disadvantages. For wireless network technologies, distance and power consumption are always contradictory. LPWAN (Low-Power Wide-Area Network) is a wireless network technology designed to allow long-range communication with low power consumption. Therefore, this paper studied key LPWAN technologies with a focus on the LoRa technology.
Research on Container-Oriented Isolation Control Technology
Authors: Zhao Baohua , Wang Zhihao , An Ningyu , Ren Chunhui 
Published: April 2021

Abstract
Container technology has a series of advantages such as low physical resource consumption, fast startup speed, high concurrency, and can run in a variety of environments. It is widely used in scenarios such as big data and cloud computing. Container technology has certain advantages in performance, but there are some shortcomings in security. The container technology shares the kernel with the host, and its security mainly depends on the host. Once the attacker breaks through the host’s defense, he can easily access the files deployed in the container, steal or tamper with the file data, and cause losses to users and users. In response to the above problems, this paper proposes a container-oriented isolation control technology, which realizes further isolation of files inside the container by adding domain names to programs and files. If the program domain name matches the file part, the files in the current container cannot be accessed, and the security of the files in the container can be effectively ensured after the host is compromised.
Simulation analysis on vibration characteristics of 220kV vertically arranged double bundled conductors
Authors: Xu Zhiqing , Gao Fan , Wang Lihuan , Ren Yaning 
Published: April 2021

Abstract
In order to analyze the adhesion vibration characteristics of vertically arranged double bundled conductors, the vibration equation of adhesion conductor under the coupling action of aerodynamic force and electromagnetic force is established. Firstly, the electromagnetic force on the conductor with different splitting spacing is simulated by COMSOL software. Then, based on the Runge-Kutta numerical calculation method and the vibration mathematical model, the displacement time history curve and amplitude value of the adhesive wire under different wind speed, span and initial spacing are obtained. Finally, a 220kV laboratory model is built, and the real-time monitoring of the wire vibration data is carried out to verify the accuracy of the mathematical model and simulation results. The results show that the coupling effect of aerodynamic force and electromagnetic force is the main reason for the vibration of the wire. The larger the aerodynamic force and electromagnetic force, the larger the amplitude of the wire.
Power System State Estimation Based on PLS-ELM
Authors: Guo Yang , Zhang Yongmei , Fang Rui , Zhao Kui , Sha Yuanyuan 
Published: April 2021

Abstract
In order to effectively improve the computational accuracy and robustness of state estimation, a power system state estimation method based on partial least square (PLS) and extreme learning machine (ELM) is proposed in this paper, which combines artificial intelligence technology with grid data. In order to solve the problem of strong correlation between measurements, PLS is used to extract important information and select variables for each measurement, and the optimal variables are input into the ELM model, thus the PLS-ELM model of state quantities is established. Finally, this method is compared with other methods. Experimental results show that the proposed method reduces the complexity of the model, and has high estimation accuracy and strong robustness.
Design of multi-ellipse broadband metamaterial absorber
Authors: Li Can , Zhou Kun , Cheng Qiang 
Published: April 2021

Abstract
In this paper, two types of ellipse-pattern broadband metamaterial absorbers with high absorptivity are designed and analyzed. The single-ellipse periodic absorber can achieve more than 90% absorption in the range of 8.8 to 12.5 μm, and the average absorption in this range is 96.5%. Further exploration of its electromagnetic field’s distribution revealed that the coupling of propagating surface plasmon resonance and localized surface plasmon resonance is responsible for its character. An optimized four-ellipse periodic absorber can achieve 89.5% average absorption in the range of 8 to 15 μm, and the absorption is insensitive to the incident angle. The variations of absorption of the absorber under different polarization and incident angles are also discussed. This design has potential application value in uncooled infrared detectors and other fields.
Comparative Study on Performance of Aeronautical ISG Based on Brushless Synchronous Generator and PMSG
Authors: yan Li , xuejun Su , di Liu 
Published: April 2021

Abstract
In this paper, the simulation analysis and research on the starting and generating system based on two-stage brushless synchronous motor and permanent magnet synchronous motor are respectively carried out, and the brushless synchronous motor AC/DC mixed excitation scheme is proposed. The starting operation adopts vector control, and the output voltage precision is improved by adjusting the excitation voltage of the exciter. A permanent magnet synchronous motor starting and generating system is constructed, and the control of starting and generating is realized by using vector control based on SVPWM, the results show that the permanent magnet synchronous motor has fast starting speed, good dynamic and static performance, high power supply quality and simple hardware composition, which reduces the complexity of the control system and is convenient for engineering implementation.
Research on control method of three-phase inverter based on LQR optimal tracking control
Authors: Lei Kang , Shao Ying , Zhang Yinfeng , Sun Pan , Wang Kongxian 
Published: April 2021

Abstract
According to the linear quadratic optimal control principle, the idea of optimal tracking control is applied to the three-phase inverter control system, which can effectively improve the output characteristics of the system. Based on the establishment of mathematical model, the nonlinear load and load mutation are regarded as the uncertain factors affecting the performance of three-phase inverter, and the parameter optimization design of state feedback and input feedforward is carried out based on the linear quadratic optimal control method. The simulation results show that the LQR optimal tracking control can better adapt to the adverse effects of nonlinear load and load mutation than the traditional quasi-PR control, and the system has good harmonic performance, dynamic performance and the ability to resist load disturbance.
Sdgan: Improve Speech Enhancement Quality by Information Filter
Authors: Guo Xiaozhou , Liu Yi , Mao Wenyu , Li Jixing , Li Wenchang , Gong Guoliang , Lu Huaxiang 
Published: April 2021

Abstract
The speech denoising model based on adversarial generative network has achieved better results than the traditional machine learning model. In this paper, for the short cut connection in the generator, we discuss its influence on the information transfer between encoder and decoder, and propose SDGAN at target. SDGAN sets linear and convolution filters in the short cut connection which adaptively learn the optimal information processing. The information filter still enables the generator to solve the gradient vanishing problem, and it can also avoid information redundancy and improve expression ability. In addition, SDGAN replaces the L1 regularization term in loss function with the L2 regularization term, which not only makes the output speech of the generator closer to the clean speech, but also avoids sparsity. In the experiments, SDGAN significantly performs better than other traditional GAN in five performance metrics (such as PESQ), and the effect of convolution filter is better than that of linear filter.
Multimodal Fusion for Image and Text Classification with Feature Selection and Dimension Reduction
Authors: Liu Xinran , Wang Zhongju , Wang Long 
Published: April 2021

Abstract
Internet has become an important information platform, and it is very important to accurately understand the multimedia information of the Internet. In this paper, our main task is to do classification based on pictures and texts collected from the Internet, which is a classification problem of multimodal fusion in practice. However, when multimodal data is put together, there may occur the dimension disaster problem. We apply feature selection (FS) and dimension reduction (DR) in feature levels both in later fusion and early fusion to solve this problem. The classification accuracies in different models obtain improvements in different levels respectively. We also discuss the relation between single modals and multimodal in later fusion. In our experiments, images and text can be classified by multimodal models under FS/DR, and of which with the help the multimedia information from the Internet can be analysed better to help enterprises provide better services and products, and then carry out better network marketing and promotion.
Analysis on application scheme of electronic fence technology in power grid infrastructure project based on Beidou Navigation Positioning Technology
Authors: Zheng Chenhong , Zhang Chengwei , Liu Qin , Chen Binqian , Ye Minquan , Ma Sheng 
Published: April 2021

Abstract
This paper takes the electronic fence technology of power grid infrastructure project based on Beidou Positioning Technology as the research object, summarizes the use situation and characteristics of this type of electronic fence technology, carries out technical and economic comparison, comprehensively considers the different use needs in the whole life cycle process of substation project infrastructure construction, operation and maintenance, expansion and technological transformation, and considers the purchase cost, installation difficulty, etc. This paper summarizes the technical advantages and engineering pilot application experience of this type of electronic fence technology. Taking one 220kV substation construction project as an example, this paper comprehensively considers other types of electronic fence technology, carries out technical analysis and economic comparison, and provides guidance for the deepening application of electronic fence technology in power grid infrastructure project based on Beidou Positioning Technology in the future.
A Graph Neural Network for superpixel image classification
Authors: Long Jianwu , yan Zeran , chen Hongfa 
Published: April 2021

Abstract
The classification of superpixel images by graph neural networks has gradually become a research hotspot. It is a crucial issue to embed super-pixel images from lowdimensional to high-dimensional so as to turn complex image information into graph signals. This paper proposes a method for image classification using a graph neural network (GNN) model. We convert the input image into a region adjacency graph (RAG) composed of superpixels as nodes, and use residual and concat structure to extract deep features. Finally, the loss function that increases the distance between classes and compactness within classes is used as supervision. Experiments have been tested with different numbers of superpixels on multiple datasets, and the results show that our method has a great performance in superpixel images classification.
Research on the communication mechanism between entities based on end-to-end credible state assessment
Authors: Zhao Baohua , Wang Zhihao , An Ningyu , Ren Chunhui 
Published: April 2021

Abstract
In the information age, with the development of internet technology, there are more and more various business services, at the same time, network security issues are also increasing. However, traditional protection methods are gradually hard to cope with the complex network environment. Aiming at the credible connection establishment and data communication problems that need to be solved urgently in the credible network, an interentity communication mechanism based on end-to-end credibility assessment is proposed. This mechanism combines trusted computing with network access control mechanisms, integrates network access authority control technology, server identity authentication technology, communication subject measurement technology and network link transparent encryption technology, adopts real-time monitoring of terminal status, dynamic adjustment of access authorities, optimized network access control mechanism and data transmission method, to against security issues of the network communication. After security analysis, this mechanism improves the security of the connection and communication between the terminal and the network. It can effectively avoid security threats to information systems, and make the service of the information system safe and reliable.
The Design of a Virtual Reality Image Distortion Method for mobile devices
Authors: Wu Guanlin , Bao Weidong , Cao Jiang , Zhu Xiaomin , Ping Yang , Song Jia , xin Quan 
Published: April 2021

Abstract
How to predict a more accurate next frame according to the current frame is still a problem. In this study, a method of generating intermediate frames in VR is proposed, which can effectively reduce the image jitter in VR games and increase the user experience; on the other hand, the inverse matrix method proposed in this study has a small amount of calculation and a fast calculation speed, and can complete the calculation in a short time. Therefore, this method can help us to complete the insertion of frames in the specified time. In this paper, firstly, the algorithm is constructed based on the principle of inverse matrix, and then the simulation experiment is carried out. The experimental results show that the scheme is a viable and effective solution.
Cause analysis and improvement of 500 kV capacitive bushing end shield fault
Authors: Yang Shaoyuan , Yang Xuefei , Li Yinghong 
Published: April 2021

Abstract
Aimed at solving the problem of the end shield fault of 500 kV capacitive bushing which happened frequently in the main power grid in recent time, two faults are taken as examples to analyze the fault characteristics and reasons of the spring cap type end shield devices. On that basis, effective revention measures and modification schemes for the spring cap type end shield devices of 500 kV capacitive bushing are proposed from perspectives of the equipment security operation and maintenance, and personal safety.
Research on dynamic route selection method of D2D communication under multi hop transmission
Authors: Qu Huijie , Qiu Ming 
Published: April 2021

Abstract
In order to find the best path in wireless sensor networks, a dynamic energy-saving routing strategy based on multi hop transmission is proposed. The dynamic state transition optimization rules are designed to increase the search probability of new nodes reasonably, so as to find the global optimal solution quickly and effectively, so as to save the search time, increase the optimal path search probability and prolong the network survival time. Simulation results and analysis show that the dynamic route selection method of D2D communication under multi hop transmission greatly increases the search probability of the global optimal solution, achieves the global optimal solution quickly and effectively, saves the energy consumption of nodes, and is conducive to extending the network survival time.
Research on Tibetan-Chinese neural network machine translation with few samples
Authors: Sun Yidong , Yong Cuo 
Published: April 2021

Abstract
Machine translation is an important task in natural language processing, and the study of Tibetan-Chinese neural machine translation is of profound significance in promoting Tibetan-Chinese scientific and cultural exchanges and the development of education and culture. In this paper, we investigate the performance of these techniques and methods on Tibetan-Chinese NMT with few samples by using deactivated word lists, data augmentation (back translation), pre-training models (ELMO), and attention mechanisms for the techniques and methods widely used in NMT, using seq2seq and Transformer models as the baseline, and finally, the BLEU value of Tibetan-Chinese NMT is increased from the initial 5.53 to 19.03.
Design Challenges in Wikipedia-style Spotlight Annotation
Authors: Pang Kunyuan , Tang Jintao , Li Xinyi , Li Xiao , Li Shasha , Wang Ting 
Published: April 2021

Abstract
Wikipedia has set up a manual of style to provide the Wikipedian with guidelines to create links as spotlights in articles to help readers’ understanding. Wikification is coined following Wikipedia’s style guide as a task of automatically detecting mentions and linking to entities in plain-text articles. However, existing methods rely heavily on the mention-entity dictionary and focus on in-map entity precision. Some popular methods are limited to Named Entities. The comparison on the outcome of spotlight annotation is insufficient. We investigate the design challenges for constructing automatic annotating in Wikipedia-style systems. A dataset is built simulating real-world spotlight annotation problems in both the preparing and application phases. Popular methods are compared along with a straightforward framework we propose called WikiER. Experiments show that the performance of currently available systems varies a lot. It is important to train on the task-specific data. The best performance is achieved by WikiER.