bluuebunny/crossref_metadata_2025_split huggingface dataset:
Who are the dominant players in the experimental field of quantum entanglement? A bibliometric analysis
Authors: Xie Y.D. , Wu Q. , Li X.C. , Gao Y. , Zhang P. , Wu S.J. , Liu Y.Y. , Zhang N. 
Published: July 2021

Abstract
Quantum entanglement is a major research resource in quantum information science, which has obtained increasing attention and has been intensively studied experimentally in recent years. Based on 7089 research papers in the experimental field of quantum entanglement obtained from the Web of Science Core Collection database, this study investigates the 400 top-cited papers which were written by 498 first or corresponding authors from188 institutions in 32 countries/territories. This study not only relies on traditional methods with first author full counting and corresponding author full counting to present the critical authors, institutions, and countries as designers or executors but also uses distinctive methods with first/corresponding author full counting and first/corresponding author fractional counting to find the dominant players in the experimental field of quantum entanglement. Considering authors, A. Zeilinger and J.W. Pan are the most dominant scientists in this field. The University of Vienna has the best institutional performance in this field, and other institutions such as the University of Science and Technology of China also do fairly well. The results show that the USA, Germany, Austria, the UK, and mainland China fit their reputations as dominant players in the field.
Asymptotic stability of viscous shocks in the modular Burgers equation
Authors: Le Uyen , Pelinovsky Dmitry E , Poullet Pascal 
Published: July 2021

Abstract
Dynamics of viscous shocks is considered in the modular Burgers equation, where the time evolution becomes complicated due to singularities produced by the modular nonlinearity. We prove that the viscous shocks are asymptotically stable under odd and general perturbations. For the odd perturbations, the proof relies on the reduction of the modular Burgers equation to a linear diffusion equation on a half-line. For the general perturbations, the proof is developed by converting the time-evolution problem to a system of linear equations coupled with a nonlinear equation for the interface position. Exponential weights in space are imposed on the initial data of general perturbations in order to gain the asymptotic decay of perturbations in time. We give numerical illustrations of asymptotic stability of the viscous shocks under general perturbations.
Minimal constraints in the parity formulation of optimization problems
Authors: Lanthaler Martin , Lechner Wolfgang 
Published: July 2021

Abstract
As a means to solve optimization problems using quantum computers, the problem is typically recast into an Ising spin model whose ground-state is the solution of the optimization problem. An alternative to the Ising formulation is the Lechner–Hauke–Zoller model, which has the form of a lattice gauge model with nearest neighbor four-body constraints. Here we introduce a method to find the minimal strength of the constraints which are required to conserve the correct ground-state. Based on this, we derive upper and lower bounds for the minimal constraints strengths. We find that, depending on the problem class, the exponent ranges from constant α = 0 to quadratic α = 2 scaling with the number of logical qubits.
Low-cost dual-stage offset-cancelled sense amplifier with hybrid read reference generator for improved read performance of RRAM at advanced technology nodes
Authors: Wang Qiao , Zhang Donglin , Zhao Yulin , Liu Chao , Xu Xiaoxin , Yang Jianguo , Lv Hangbing 
Published: July 2021

Abstract
In this work, two process-variation-tolerant schemes for a current-mode sense amplifier (CSA) of RRAM were proposed: (1) hybrid read reference generator (HRRG) that tracks process-voltage-temperature (PVT) variations and solve the nonlinear issue of the RRAM cells; (2) a two-stage offset-cancelled current sense amplifier (TSOCC-SA) with only two capacitors achieves a double sensing margin and a high tolerance of device mismatch. The simulation results in 28 nm CMOS technology show that the HRRG can provide a read reference that tracks PVT variations and solves the nonlinear issue of the RRAM cells. The proposed TSOCC-SA can tolerate over 64% device mismatch.
Targeted transfer of self-assembled CdSe nanoplatelet film onto WS2 flakes to construct hybrid heterostructures
Authors: Song Zeguo , Wang Yunkun , Zhu Yunke , Bai Peng , Hu An , Gao Yunan 
Published: July 2021

Abstract
Colloidal CdSe nanoplatelets are thin semiconductor materials with atomic flatness surfaces and one-dimensional strong quantum confinement, and hence they own very narrow and anisotropic emission. Here, we present a polydimethylsiloxane (PDMS) assisted transferring method that can pick up single layer CdSe nanoplatelet films self-assembled on a liquid surface and then precisely transfer to a target. By layer-by-layer picking up and transferring, multiple layers of CdSe films can be built up to form CdSe stacks with each single layer having dominant in-plane transition dipole distribution, which both material and energic structures are analogous to traditional multiple quantum wells grown by molecular-beam epitaxy. Additionally, with the great flexibility of colloidal nanoplatelets and this transferring method, CdSe nanoplatelets films can be combined with other materials to form hybrid heterostructures. We transferred a single-layer CdSe film onto WS2 flakes, and precisely studied the fast energy transfer rate with controlled CdSe nanoplatelet orientation and by using a streak camera with a ps time resolution.
Observation of self-organized FRC formation in a collisional-merging experiment
Authors: Asai Tomohiko , Kobayashi Daichi , Seki Taichi , Tamura Yasuaki , Watanabe Tatsuhiro , Sahara Naoto , Takahashi Tsutomu , Morelli Jordan , Gota Hiroshi , Roche Thomas , Magee Richard , Binderbauer Michl , Tajima Toshiki , Inomoto Michiaki , Takahashi Toshiki 
Published: July 2021

Abstract
Self-organized field-reversed configuration (FRC)-like formation was observed after the super-sonic/Alfvénic collisional merging of two FRCs in the FAT-CM device at Nihon University. In this experiment, two FRCs were generated initially in two separate field-reversed theta-pinch type formation regions. Those two formation regions are coaxially connected to opposite ends of a cylindrical confinement chamber. The formed FRCs are oppositely-translated and collide in the middle of the confinement chamber at super-sonic/Alfvénic velocity. During the collision, the merged plasmoid experiences destructive disturbance and loses its fast toroidal flow and characteristic FRC property of having a field-reversed magnetic configuration to become a magnetized plasma without ordered structure. After this dynamic collision, a magnetic configuration of FRC with fast toroidal rotation is self-organized within a few tens of microseconds. This observation indicates robustness of the extremely high-beta, simple magnetic configuration.
Research on DDS-based Portable Signal Generation Testing Device
Authors: Hao Dawen 
Published: July 2021

Abstract
The signal generator has a wide range of applications in the fields of communication, measurement and control, navigation, radar, and medical treatment. At present, most of the signal generators in the laboratory are purchased precision instruments, which are not only expensive, but also can not fully perform their functions, resulting in a waste of resources [1]. Based on the analysis of the working principle of the existing signal generator, this paper takes the programmable DDS integrated chip as the core, and designs a sine wave and square wave signal generator that is simple in structure, high in accuracy, small in size, and suitable for laboratory requirements. The precision and error analysis are carried out on it. The signal generator is composed of a power supply system, a single-chip computer system, a DDS waveform generation module, an amplitude adjustment module, a square wave generation module, and a relay output module. A multiplier is used to multiply the sine signal and the analog signal of the single-chip microcomputer to achieve the purpose of amplitude modulation of the waveform. Compared with the general signal source, the signal generator has the advantages of small output signal frequency error, high resolution, full digital realization, easy integration, small size, light weight, convenient use, stable work, etc.
Liquid Level Detection of Syringe Pump and Syringe Based on Machine Vision
Authors: Liu Yunxi , Guo Miao , Gao Jingmin , Li Yue 
Published: July 2021

Abstract
When a nurse uses a syringe pump to infuse the patient, the nurse needs to contact the patient several times at a close range. This article proposes a method to detect the infusion of the syringe pump to reduce the frequency of contact between the nurse and the patient and reduce the labour intensity of the nurse. Using machine vision technology, filter and Prewitt operator are combined to process the acquired syringe pump pictures to obtain the accurate liquid level position. The image is captured by an industrial camera. After grayscale processing and image filtering, the Prewitt edge detection algorithm is used to obtain a clear edge image, and then the corner detection algorithm and pixel coordinate display are used to detect the liquid level of the syringe without external auxiliary measuring equipment. After performing multiple tests on 26 different liquid level images of a 50ml syringe, the results show that proposed method is effective to measure the liquid level in a non-contact way. The test result shows that the relative error is When the scale is 2ml to 16ml, the relative error range is -66% to -0.63%. When the scale is 18ml to 50ml, the relative error range is -1.86% to -1.19%. Among the 26 pictures, the absolute error of 22 pictures is within ±1ml, and the absolute error of 19 pictures is within ±0.5ml.
Scale recognition of non-electronic thermometers based on image features
Authors: Si Yao , Guo Miao , Gao Jingmin , Li Yue 
Published: July 2021

Abstract
At present, in terms of clinical temperature measurement in China, most hospitals use traditional mercury thermometers to obtain patient temperature data through human readings and records. In order to improve the work efficiency of medical staff and reduce the frequency of their contact with patients, machine vision is adopted. A scale recognition method of non-electronic thermometer based on image features is proposed. The reading data of clinical thermometers is calculated through pixels. The automatic reading record of the clinical thermometer is realized, and the relative error does not exceed 0.25% in the temperature range of 35.5 to 37.5°C, which has certain practical significance for the research in the field of intelligent medical treatment.
Research on Mechanical Antenna Performance Based on Rotating Permanent Magnet Triangle Array
Authors: Bao Jianqiang , Tian Yanwei , Wang Yan , Yi Qiuping , Li Na 
Published: July 2021

Abstract
Traditional low-frequency antennas have larger volume and higher energy consumption. These characteristics make the traditional antennas easy to be destroyed by the enemy and expensive to maintain. In this paper, a mechanical antenna based on triangular array of rotating permanent magnets is introduced, and a prototype is made according to the proposed theoretical assumptions. Different from the traditional electric antenna, the mechanical antenna adopts the way of motor driving the permanent magnet to rotate, which realizes the miniaturization of the low-frequency transmitting antenna. In this paper, the analytical model of the rotating magnetic dipole is presented. By comparing the simulation results and the experimental data with the theoretical calculation results, it is proved that the mechanical antenna based on the rotating permanent magnet array can emit low-frequency sinusoidal electromagnetic waves, which has a broad application prospect in the Ultra-Low-Frequency/Very-Low-Frequency (ULF/VLF) communication field.
Improved 2D-MUSIC estimation for low intercept coprime MIMO radar
Authors: Zhao Xiaotong , Zhou Jianjiang , Fan Huang , Wu Jiale 
Published: July 2021

Abstract
In electronic warfare, airborne multiple input multiple output (MIMO) radar must not only accurately detect the Angle of moving target, but also ensure the low interception performance of radar. In order to solve this problem, a low interception bistatic MIMO radar with improved coprime array is proposed in this paper. By expanding the coprime array of the bistatic MIMO radar, the array spacing is further expanded to form a sparse array, which reduces the hardware and software cost and improves the anti-jamming capability. In addition, based on the two-dimensional MUSIC algorithm to detect the Angle of the maneuvering target, Taylor expansion method is added to realize the Angle estimation under low SNR. The research results show that, compared with the joint DOD and DOA estimation in a bistatic MIMO radar, the improved method in this paper increases the estimation accuracy, reduces the computational cost of the algorithm, applies to low SNR environment, and ensures low interception performance.
Driving collision detection method based on VMD-KICA
Authors: Han Xu , Jianbing Li , Xueyu Dong , Xutao  , Jianbang Sun 
Published: July 2021

Abstract
With the rapid development of China’s transportation, higher requirements are put forward for the handling capacity of traffic accidents. Therefore, it is of great practical significance to study the effective monitoring methods of high-speed traffic accidents for timely guiding the traffic and saving the lives of the injured. The VMD is used to decompose the vehicle vibration signal, and the cross-correlation coefficient is used as the index to screen the components, and the KICA algorithm is used to extract the components of the screened component matrix, so as to further eliminate the environmental noise. The signal is recombined by the denoised components to highlight the time-domain statistical characteristics of the signal. The feature vector based on time-domain statistical parameters is constructed, and the recognition model is built by using the support vector mechanism optimized by genetic algorithm. The experimental results show that the accuracy of the method for vehicle driving state can be 95.5%.
Research on Simulation and Test of Antenna Isolation of Airplane and Spacecraft Platform
Authors: Yuan Wang , Rong Kong , Wei Tan , Lidong Cui 
Published: July 2021

Abstract
In order to discover in time the potential interference coupling relationship caused by the installation of multiple types of frequency-using equipment and antennas on an aircraft or spacecraft platform, and to improve the rationality and compatibility of the antenna layout. The antenna isolation must be simulated at the beginning of the aircraft or spacecraft platform design, and the antenna isolation must be tested before the antenna is installed. In this article, the simulation and test results of the real case show that the model construction error during simulation, the actual spatial attenuation, the actual diffraction attenuation, the actual occlusion factor and the test error during the test process have formed the preliminary error relationship between simulation results and test results.
New Adaptive Beamforming for Coherent Interference based on Covariance Matrix Reconstruction
Authors: Pu Mingang , Li Lichun , Jiang Heng 
Published: July 2021

Abstract
Conventional beamforming fail to derive the full-rank covariance matrix due to the existent of coherent interference in the spatial domain. Most of the existing methods suppress the correlation interference by sacrificing the degree of freedom (DOF). In this paper, we develop a new adaptive beamforming for coherent interference without the loss of DOF, and the process of this new algorithm is as follows. First, the steering vector of the interference signal is estimated through convex optimization. Then we estimate the interference signal power by decomposing the covariance matrix and reconstruct the interference plus noise covariance matrix (INCM). Finally, the array weights are obtained based on the maximum SNR criterion. The proposed method has no loss of DOF and the array gain is adjacent to the ideal value. The feasibility of the technique is proved by theoretical derivation, and the effectiveness of the method is also verified by numerical results.
Design and Analysis of a Series-Parallel Compliant Manipulator
Authors: Zhao JinZhi , Zhu ChunYi , Wang Wei , Ma ZiMeng , Sun WenPei 
Published: July 2021

Abstract
Because of friction and assembly clearance, the accuracy of traditional rigid parallel mechanism cannot be maintained for a long time. Compliant mechanism has the advantages of light weight, high precision and low wear. Combining the characteristics of the two mechanisms, this paper designs a series-parallel compliant manipulator structure, and studies its forward and backward kinematics. Finally, it uses MATLAB software to study its workspace. Motion analysis was carried out.
A WSN system for high-precision cable manhole cover movement detection uses TDOA ranging method
Authors: Luo Ping , Wang Huajun , Xiang Changcheng , Huang Chengbing 
Published: July 2021

Abstract
In the research of the power cable anti-theft problem, the demand for high-precision positioning of the cable manhole cover is proposed. For this reason, a wireless sensor WSN node with ranging function is studied. The system uses the Stm32 chip as the MCU core, uses 433MH radio frequency signals and ultrasonic signals to implement a ranging circuit based on the TODA principle of arrival time difference, and sends data to the cloud server through the NB-IoT module to achieve the purpose of alarming. The system has the characteristics of good real-time performance and high positioning accuracy. It can be applied to the theft prevention of cable manhole covers, and can also be extended to the detection of indoor moving objects.
Design of a Multi-Channel Expandable High-Precision Isolated Current Source Module
Authors: Chuanxi Jin , Minghui Liu , Panhui Chen 
Published: July 2021

Abstract
Small current source module has low accuracy, big ripple and cannot be used for multi-channel expansion and isolated output. In view of this, a high-precision isolated current source module for multi-channel expansion is designed. The current source module consists of an isolated power supply circuit, an A/D conversion circuit, a linear current stabilizer circuit, and a digital isolation circuit. MCU can implement control of the module through only three ordinary IO ports, and one MCU can simultaneously control multiple current source modules to complete multi-channel isolated output. The output accuracy of each channel can reach a level of 0.001mA.
Design and verification of SPI bus IP core
Authors: Wang Dawei , Yan Jiang , Qiao Ying 
Published: July 2021

Abstract
With the development of chip design technology, the complexity of the chip is getting bigger and bigger, and various IP (Intellectual Property) is integrated to form SoC (System on Chip). In order to improve the efficiency of designing SoC, IP reuse technology is often used, so the development of IP has a wide range of significance and use value. The SPI bus is a bus protocol often used in chip communication and has many application scenarios. Therefore, this research mainly develops the SPI bus IP. During the development process, the SPI bus design is carried out, then based on the UVM verification methodology the designed IP has been functionally verified, and finally, a fully functional SPI bus design is obtained.
Application of Multidimensional Features and GRNN in Electronic Nose for Detection of Hepatocellular Carcinoma
Authors: Lijun Hao , Min Zhang , Geng Zhu , Xuan Wang 
Published: July 2021

Abstract
A model based on multidimensional features and GRNN was designed for electronic nose (eNose) in the paper. It can be applied to distinguish hepatocellular carcinoma from normal controls. Hepatocellular carcinoma patients have altered composition of exhaled gas due to abnormal metabolism. Thus, we can detect them by the exhaled gas. In the paper, the exhaled gas signals of hepatocellular carcinoma patients and health controls were first collected with eNose. And then the features were extracted and the multidimensional combined features were achieved. Furthermore, the PCA method was applied to optimize the features. Next, the classification model based on GRNN was constructed for training and generalization ability testing. Finally, the constructed model was adopted to predict the test and the performance was calculated. The result shows that, with the limited training set, the performance of the GRNN model is better than the BPNN model. The prediction accuracy could reach to 91.3%. Therefore, the proposed model is well suited for the classification detection with small training set and this will contribute to the study of the practical application of the eNose in the clinic.
Unmanned Aerial Vehicle system layout based on two-layer interconnection model
Authors: Wang Qiwei , Liu Xinyu 
Published: July 2021

Abstract
Based on the Australian wildfire in 2019, this paper obtains the grid risk coefficient through the cellular automata model, and linear model and uses the cluster gravity method to select the location of EOC. Finally it gives the two-layer interconnection model constructed by SSA UAV and radio repeater UAV and the UAV system model of UAV two-layer interconnection coverage planning. It aims to create a safe and economic disaster monitoring system. The security, that is, the connectivity coverage rate of UAV system and the economy, that is, the total number of UAVs, are taken as the objective functions. The constraints are the minimum standard limit of coverage rate and connectivity rate, the limit of divided area, the limit of divided area inspection cycle, and the limit of the relationship between the built-in battery consumption and the number of on-the-job UAVs. According to the PSO-ACO fusion algorithm, the optimal number and combination of the two types of UAVs are obtained. The adaptability of the model to extreme fire events in the next ten years is verified by grey weight Markov prediction.
Indoor Positioning Experiment Based on Phase Ranging with Bluetooth Low Energy (BLE)
Authors: Lu Xingyu , Yin Yufang , Zhao Na , Wei Hua 
Published: July 2021

Abstract
In this paper, we propose and demonstrate an indoor positioning scheme based on phase ranging with Bluetooth low energy (BLE). It is to deal with the contradiction between the cost and accuracy of today’s indoor positioning system. The experiment is based on BLE multi-carrier phase ranging, and the DA14695 BLE module from Dialog Semiconductor is selected as the experimental hardware module. The linearized pseudo range observation equation and least square estimation are used to construct a positioning platform to verify its positioning effect. The experimental results show that the indoor positioning method based on BLE phase-based ranging has high positioning accuracy, and in view of the low-power and low-cost advantages of BLE itself, it shows that this indoor positioning scheme is feasible and has further research value.