bluuebunny/crossref_metadata_2025_split huggingface dataset:
An efficient approach for guided wave structural monitoring of switch rails via deep convolutional neural network-based transfer learning
Authors: Liu Weixu , Tang Zhifeng , Lv Fuzai , Chen Xiangxian 
Published: November 2022

Abstract
Data-driven approaches in structural health monitoring have received increasing attention, especially advances in deep learning-based methods, which have further driven the development of data-driven damage detection. Due to the limited availability of guided wave samples and the imbalance between data classes, this study proposes a deep convolutional neural network-based transfer learning (DCTL) approach for the structure monitoring of switch rails using guided wave monitoring signals. A pretrained model based on Inception-ResNet-V2 was adopted and fine-tuned. Different methods for converting 1D signals into 2D images were investigated to find the optimal approach that meets practical monitoring requirements. Affine transformations were used for data augmentation to improve generalization ability and to avoid the overfitting of the training model. Two types of guided wave monitoring experiments on the foot and web of switch rails were conducted to evaluate the proposed method against different conventional methods in the field of switch rails. In addition, the DCTL method was investigated, with and without pretrained weights, along with different frozen layers. The classification results show that the proposed method can identify damage in challenging situations and outperforms conventional methods.
A parametric study on the subharmonic isolas in a bistable dielectric elastomer actuator
Authors: Cao Chongjing , Chen Lijin , Hill Thomas L , Wang Lei , Gao Xing 
Published: November 2022

Abstract
Resonant actuation of dielectric elastomer actuators (DEAs) greatly improves their output power densities and energy efficiencies. However, their outstanding performance usually accompanies complex dynamics which hinder the robust applications of DEAs. Isolated frequency responses, or isolas, are branches of resonant curves that are isolated from the main frequency response curve, hence can be easily overlooked during the dynamic analyses of DEAs. Once triggered, however, isolas can lead to dramatic changes in frequency responses, which pose great threats to system stability. As a critical step towards controlling the isolas within DEAs, this work adopts a bistable cone DEA (BCDEA) configuration and conducts dedicated numerical and experimental parametric studies on its isolas to uncover the physical mechanisms that create them. The effects of potential barriers, equilibrium positions and excitation level on the evolutions of isolas are studied with the aim of finding the critical parameters that determine their evolutions. The outcomes of this paper help to gain more insights into the complex isola phenomena in BCDEAs, which may offer guidelines for eliminating undesired isolas within BCDEAs or for exploiting isolas for applications in, e.g. energy harvesting, soft robotic locomotion and vibro-tactile feedbacks.
Multiparameter transmission estimation at the quantum Cramér–Rao limit on a cloud quantum computer
Authors: Goldberg Aaron Z , Heshami Khabat 
Published: November 2022

Abstract
Estimating transmission or loss is at the heart of spectroscopy. To achieve the ultimate quantum resolution limit, one must use probe states with definite photon number and detectors capable of distinguishing the number of photons impinging thereon. In practice, one can outperform classical limits using two-mode squeezed light, which can be used to herald definite-photon-number probes, but the heralding is not guaranteed to produce the desired probes when there is loss in the heralding arm or its detector is imperfect. We show that this paradigm can be used to simultaneously measure distinct loss parameters in both modes of the squeezed light, with attainable quantum advantages. We demonstrate this protocol on Xanadu’s X8 chip, accessed via the cloud, building photon-number probability distributions from 106 shots and performing maximum likelihood estimation (MLE) on these distributions 103 independent times. Because pump light may be lost before the squeezing occurs, we also simultaneously estimate the actual input power, using the theory of nuisance parameters. MLE converges to estimate the transmission amplitudes in X8’s eight modes to be 0.392 02(6), 0.307 06(8), 0.369 37(6), 0.287 30(9), 0.382 06(6), 0.304 41(8), 0.372 29(6), and 0.286 21(8) and the squeezing parameters, which are proxies for effective input coherent-state amplitudes, their losses, and their nonlinear interaction times, to be 1.3000(2), 1.3238(3), 1.2666(2), and 1.3425(3); all of these uncertainties are within a factor of two of the quantum Cramér–Rao bound. This study provides crucial insight into the intersection of quantum multiparameter estimation theory, MLE convergence, and the characterization and performance of real quantum devices.
Elusive exotic structures and their collisional dynamics in (2+1)-dimensional Boiti-Leon-Pempinelli equation
Authors: Radha R , Singh Sudhir , Senthil Kumar C , Lou Senyue 
Published: November 2022

Abstract
In this paper, we investigate the (2+1) dimensional Boiti-Leon-Pempinelli (BLP) equation employing truncated Painlevé expansion approach and extract a plethora of localized nonlinear waves, including multi-dromions, multi-lumps, multi-rogue waves, generalized-breathers etc. The dromions are characterized as bright, dark and mixed (bright-dark) based on their intensity. The collisional dynamics of dromions shows that they change their shape or form upon interaction in addition to undergoing a phase change. The lump solutions of orders one and two are also extracted through appropriate test functions and observed to be non-interacting in nature. Also, the first-order and second-order rogue waves are also obtained through rational polynomials and shown to be unstable. The generalized breathers are obtained by utilizing the three-wave test function. The highlights of our investigation is that one encounters a strange coherent structure called ‘dromion filter’ which contains a dynamic and a stationary dromion. In addition, we are also able to unearth a ‘coexistent dromion-line soliton’.
Stability of exact solutions of the (2 + 1)-dimensional nonlinear Schrödinger equation with arbitrary nonlinearity parameter κ
Authors: Cooper Fred , Khare Avinash , Charalampidis Efstathios G , Dawson John F , Saxena Avadh 
Published: November 2022

Abstract
In this work, we consider the nonlinear Schrödinger equation (NLSE) in 2+1 dimensions with arbitrary nonlinearity exponent κ in the presence of an external confining potential. Exact solutions to the system are constructed, and their stability as we increase the ‘mass’ (i.e., the L
2 norm) and the nonlinearity parameter κ is explored. We observe both theoretically and numerically that the presence of the confining potential leads to wider domains of stability over the parameter space compared to the unconfined case. Our analysis suggests the existence of a stable regime of solutions for all κ as long as their mass is less than a critical value M*(κ). Furthermore, we find that there are two different critical masses, one corresponding to width perturbations and the other one to translational perturbations. The results of Derrick’s theorem are also obtained by studying the small amplitude regime of a four-parameter collective coordinate (4CC) approximation. A numerical stability analysis of the NLSE shows that the instability curve M*(κ) versus κ lies below the two curves found by Derrick’s theorem and the 4CC approximation. In the absence of the external potential, κ = 1 demarcates the separation between the blowup regime and the stable regime. In this 4CC approximation, for κ < 1, when the mass is above the critical mass for the translational instability, quite complicated motions of the collective coordinates are possible. Energy conservation prevents the blowup of the solution as well as confines the center of the solution to a finite spatial domain. We call this regime the ‘frustrated’ blowup regime and give some illustrations. In an appendix, we show how to extend these results to arbitrary initial ground state solution data and arbitrary spatial dimension d.
Detection of d
1 ⨂ d
2 dimensional bipartite entangled state: a graph theoretical approach
Authors: Kumar Rohit , Adhikari Satyabrata 
Published: November 2022

Abstract
Braunstein et al have started the study of entanglement properties of the quantum states through graph theoretical approach. Their idea was to start from a simple unweighted graph G and then they have defined the quantum state from the Laplacian of the graph G. A lot of research had already been done using the similar idea. We ask here the opposite one i.e can we generate a graph from the density matrix? To investigate this question, we have constructed a unital map ϕ such that ϕ(ρ) = L

ρ
+ ρ, where the quantum state is described by the density operator ρ. The entries of L

ρ
depends on the entries of the quantum state ρ and the entries are taken in such a way that L

ρ
satisfies all the properties of the Laplacian. This make possible to design a simple connected weighted graph from the Laplacian L

ρ
. We show that the constructed unital map ϕ characterize the quantum state with respect to its purity by showing that if the determinant of the matrix ϕ(ρ) − I is positive then the quantum state ρ represent a mixed state. Moreover, we study the positive partial transpose (PPT) criterion in terms of the spectrum of the density matrix under investigation and the spectrum of the Laplacian associated with the given density matrix. Furthermore, we derive the inequality between the minimum eigenvalue of the density matrix and the weight of the edges of the connected subgraph of a simple weighted graph to detect the entanglement of d
1 ⨂ d
2 dimensional bipartite quantum states. Lastly, we have illustrated our results with few examples.
Properties of the Main Phases of the Super Geomagnetic Storms (ΔSYM-H ≤ −250 nT) with Different Heliolongitudes
Authors: Zhao Ming-Xian , Le Gui-Ming , Liu Yong-Hua 
Published: November 2022

Abstract
We studied the properties of the main phases of 24 super geomagnetic storms (SGSs) (ΔSYM-H ≤ −250 nT) since 1981. We divided the SGSs into two subgroups: SGSs-I (−400 nT <Δ SYM-H ≤ −250 nT) and SGSs-II (ΔSYM-H ≤ −400 nT). Of the 24 SGSs, 16 are SGSs-I and eight are SGSs-II. The source locations of SGSs were distributed in the longitudinal scope of [E37, W66]. 95.8% of the SGSs were distributed in the longitudinal scope of [E37, W20]. East and west hemispheres of the Sun had 14 and 10 SGSs, respectively. The durations of the main phases for six SGSs ranged from 2 to 4 hr. The durations of the main phases for the rest 18 SGSs were longer than 6.5 hr. The duration of the SGSs with source locations in the west hemisphere varied from 2.22 to 19.58 hr. The duration for the SGSs with the source locations in the east hemisphere ranged from 2.1 to 31.88 hr. The averaged duration of the main phases of the SGSs in the west and east hemispheres are 8.3 hr and 13.98 hr, respectively. ∣ΔSYM−H/Δt∣ for six SGSs with source locations distributed in the longitudinal area ranging from E15 to W20 was larger than 1.0 nT · minute−1, while ∣ΔSYM−H/Δt∣ for the rest 18 SGSs was lower than 1.0 nT · minute−1.∣ΔSYM−H/Δt∣ for SGSs-I varied from 0.18 to 3.0 nT · minute−1. ∣ΔSYM−H/Δt∣ for eight SGSs-II varied from 0.37 to 2.2 nT · minute−1 with seven SGSs-II falling in the scope from 0.37 to 0.992 nT · minute−1.
Early Weak Fault Diagnosis of Rolling Bearing Based on Duffing System and LMCD
Authors: Hu Chenyang , Shan Shijie , Li Ning , Li Jizhen , Li Zhao 
Published: November 2022

Abstract
The early weak fault signals of bearings are usually hidden in a large amount of noise, and the components of the noise are more complicated. Therefore, it is difficult to extract the early weak fault features of bearings using conventional time-frequency methods. In this paper, the traditional Holms-Duffing system has been improved to enhance the anti-noise performance of the system, and then the Duffing system can be used to detect the signal in a broadband frequency through time transformation. At the same time, the four Duffing systems array model has been used to solve the misjudgment problem of the Duffing system caused by the phase difference. When the Duffing system is in a large period state, the complexity of the displacement sequence is smaller than that in the chaotic state. According to this characteristic, a method for diagnosing weak bearing faults based on the Duffing system and LMC difference entropy(LMCD) is proposed. In this paper, simulation signal with strong noise components and the real fault signals have been used to verify the suggested method. The proposed methods in this paper have certain practical value in the field of fault diagnosis.
Optimization of cavitation characteristics of axial flow submersible pump
Authors: Pei Hansheng , Wang Xuemin 
Published: November 2022

Abstract
In view of the problem that the actual performance of axial-flow pump is less than the theoretical design value, Taking the axial-flow pump with a designed flow rate of 350L/s as the research object. The theoretical relationship between impeller head and outlet installation angle was studied. The influence of different blade angles on the external characteristics of the impeller was analyzed. Through the analysis of different external characteristics corresponding to different blade outlet installation angles, the influence of blade installation angles on shaft oil pump performance is verified, and the theoretical basis for the structural optimization of axial flow pump is provided.
Design and analysis of a climbing robot for weld detection
Authors: Li Zhongqin , Fan Jiaqing 
Published: November 2022

Abstract
The climbing robot is gradually applied to the safety weld detection on large metal walls to avoid manual operation. However, most robots are difficult to perform efficient operations for the poor performance on obstacle overcoming, flexible turning and motion stability. This paper presents a weld detection climbing robot, which integrates contact permanent magnet adsorption units and crawler chain mobile mechanism to obtain continuous, flexible and stable motion performance on large metal walls. By establishing the robot mechanical model, the minimum adsorption force can be calculated considering the instability conditions such as sliding, longitudinal overturning and lateral overturning. Combined with the Ansys Maxwell simulation, the magnet structure was optimized to obtain the structural size of a single permanent magnet adsorption unit. Experimental results show the robot can achieve stable motion and accurate detection on large metal walls with welds, and the maximum load of the robot can reach to 15.6 kg, which meets the engineering application requirements of weld detection on large metal walls.
Design of Intelligent Car Control Based on EEG Signal
Authors: Tang Lili 
Published: November 2022

Abstract
Based on the TGAM (ThinkGear Asic Module) EEG sensor, this paper mainly carried out the research and design of intelligent car control method. By collecting brainwave and analyzing TGAM output data, the required concentration parameters can be obtained. STM32F1 series MCU is used as the main controller to analyze data and control the car. The bluetooth module based on Bluetooth 4.0 technology is used to realize data communication. The power system includes L298N motor drive module, two independent DC motor and universal wheel. The software part mainly uses C language for development, the core part of the program is ThinkGear communication protocol analysis. Finally, the design realizes the control of the vehicle motion state through different values of concentration, which lays a foundation for further popularization and application.
Path Planning of Mobile Robot Based on Improved Genetic Algorithm
Authors: Wei Yongdong , Feng Jihe , Huang Yuming , Liu Kaiwei , Ren Bin 
Published: November 2022

Abstract
With the continuous development of science and technology, mobile robots are gradually applied to people’s routine life. As one of the key technologies of mobile robots, the performance of path planning algorithms is a significant factor affecting its efficiency. On the basis of using a traditional Genetic Algorithm for path planning, combined with specific application scenarios, this paper proposes a new path planning algorithm for mobile robots. The path smoothness and the number of path corners are added to the fitness function to evaluate the path, so as to select a more superior path. Simulation experiments in MATLAB show the validity and feasibility of the modified method. By comparison to the traditional GA and other classical path planning algorithms, the optimal path selected has fewer turning angles under the same path length, which has a better application effect and greatly improves the working efficiency and stability.
Design and calibration of the DC electric-field strength measuring instrument by horizontal vibration
Authors: Liu Fengchun , Tu Shan , Zhang Yifeng , Liu Yuhuan 
Published: November 2022

Abstract
The synthesis electric field is an important indicator to assess electromagnetic environment of DC transmission line, and field mill is often used in practical engineering. In order to solve the problem that the shielding plate in the field mill have unreliable grounding due to rotation and the electric field is distorted by accumulated charge, the structure of static shielding plate and moving induction plate are designed in this paper. On this basis, a complete synthetic electric field measuring device is developed. The instrument is calibrated under laboratory conditions, and the results show that calibration curve has good linear characteristic.
Design of Testing Device and Precision Assessment for Temperature Control Blanket in Medical Use
Authors: Xu Yang , Ren Tingting , Gong Wei , Luo Han , Zhang Tao 
Published: November 2022

Abstract
The temperature control blanket in medical use is a device that can help regulate the temperature of the human body by controlling the temperature of the circulating liquid in the blanket and physically warming or cooling the human body. This article presents a novel design of precision assessment method of temperature control blanket by studying the essential metrological parameters of the device and designing a testing device for load simulation. The experimental results show that the measurement method and the design of the simulated load presented in this article can establish the metrological traceability system of temperature control blanket in medical use in China in order to ensure the accuracy and reliability of the device, which is of great importance for the quality control of the device.
Research on impact localization method based on passive tomography of piezoelectric sensors
Authors: Yang Weixi , Cao Xin , Chao Hongxiao 
Published: November 2022

Abstract
Impact monitoring of plate structures has always been a hot spot in structural health monitoring research. In order to improve the accuracy of impact monitoring, this paper proposes a beam-focusing impact localization algorithm based on passive tomography using a sensor arrangement method in a ring array. The impact damage monitoring of large-sized structures in different directions is performed by each linear array of the ring array and the impact damage localization distribution maps of the corresponding linear arrays are generated. The localization accuracy of the linear arrays in different directions is obtained experimentally to assign the weights of each linear array to achieve image reconstruction of the impact damage. The experimental results show that the method can achieve a more accurate visualization of the impact location, and the reconstructed impact laminar image can well reflect the impact location distribution information. It can be used for the localization of impact damage and extended monitoring.
A Remote Monitoring and Maintenance System for Industrial Robots
Authors: Zhou Jian , Ding Xiao-jian , Sun Li-Jun , Yang Yun-Fan , Wang Yuan-hang , Liu Wen-Wei 
Published: November 2022

Abstract
Technologies such as external sensors, data acquisition, trend analysis, and cloud services make remote operation and maintenance of equipment status monitoring more convenient and lower maintenance costs. In this paper, an industrial robot operation and maintenance system is designed. First, the online monitoring of the robot is realized by collecting the control parameters, state parameters, fault information and external sensor monitoring information of the industrial robot. Then, the health baseline of the industrial robot is established based on the historical operation data. The online data is compared with the baseline data to realize the online assessment of the robot’s health status. Finally, a visualization platform for remote operation and maintenance of the robot is built to realize the online display of parameters, health trend tracking and fault status early warning, which is convenient for maintenance personnel to take timely countermeasures.
Test Technology of Digital Prototype for Electric Resistance Equipment and Its Application in Simulation Platform
Authors: Zhu Zhijun , Qiang Lu , Yang Jian , Luo Siwei , Su Dongchu 
Published: November 2022

Abstract
The concept and technical principle of the digital prototype are introduced, and the test content and method of the digital prototype for reactance equipment are proposed. For typical communication countermeasure equipment, the content and essence of the digital prototype are discussed in detail. How to carry out the acceptance test and how to apply it in the simulation platform in the future are also discussed. A simple digital prototype, prototype test platform, and simulation platform are constructed to verify the concepts and methods proposed in this paper.
Research on Instrumentation Health Status Evaluation MethodBased on Neural Network
Authors: Jiang Wenrui , Lin Yiyong , Zhao Lifen , Wang Yi 
Published: November 2022

Abstract
Metrology support includes the management of measurement equipment and measurement process, which is an indispensable part of engineering construction. Aiming at the health status of instrumentation in use in enterprises metrological verification, BP and SOFM neural networks are introduced, the characteristics of the two neural networks are introduced, the sample data system and network algorithm are designed, and a set of scientific and complete evaluation methods are produced through algorithm practice and data analysis, which provides direction for the research on the health status of instrumentation in use.
Research on Fusion Algorithm of Beidou and AIS Based on Improved Federated Filter
Authors: Jia Jingjun , Huang Feijiang , Cao Yujun , Cao Hui , Bai Ming , Feng Bin , Chen Zhong 
Published: November 2022

Abstract
In order to solve the problem of insufficient accuracy and reliability of ship position display in AIS(Automatic Identification System) system, a federated Kalman filter is designed, an open algorithm architecture is built, AIS and BDS positioning information sources are selected for fusion, and the information fusion part of the federated Kalman filter framework is improved by IMMF algorithm and covariance crossover algorithm to obtain more accurate and reliable target position information and ship motion state. Simulation experiments are carried out, and the experimental results show that, compared with GPS positioning or BDS(Bei Dou Navigation Satellite) positioning in AIS alone, AIS/BDS combined positioning based on federated Kalman filter structure has higher system fault tolerance, positioning accuracy and stability, and improves the safety of ship navigation.