bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measurement and prediction of granite damage evolution in deep mine seams using acoustic emission
Authors: Du Sunwen , Feng Guorui , Li Zhixong , Sarkodie-Gyan Thompson , Wang Jianmin , Ma Zhenjun , Li Weihua 
Published: July 2019

Abstract
With unceasing increase of mining depth and development intensity, mining disasters such as rock burst have been increasing frequently, which often result in catastrophic accidents. Therefore, it is imperative to accurately forecast underground disasters. Previous research has suggested that the combination of drill-hole pressure relief and acoustic emission (AE) monitoring serves as an effective measure method towards the forecasting and prevention of disastrous accidents. However, the AE evolution mechanism of underground rock damages remains a challenge; more specifically, the relationships among the drilling hole positions, depths and diameters, and the stress–strain and AE characteristics of the rocks are discussed little in the literature. In order to bridge this research gap, the particle flow code (PFC2D) is employed to systemically investigate the hidden patterns among the mechanical properties, AE and damage evolution of the rock mass with different positions, depths and diameters of the drilling holes. Analysis results demonstrate that the drilling position influences the rock stress–strain and AE characteristics in the plastic deformation stage and the residual stage while the hole depth affects the drilling process. More specifically, the initial AE strength, AE impact at the peak moment, AE fluctuations and induction time are significantly influenced by the drilling position and depth. Furthermore, the drilling position and depth change the evolution law in the damage acceleration and stable development stages, while the hole diameter has little effect on the AE signal during the rock drilling process.
Physics of laser-driven tin plasma sources of EUV radiation for nanolithography
Authors: Versolato Oscar O 
Published: July 2019

Abstract
Laser-produced transient tin plasmas are the sources of extreme ultraviolet (EUV) light at 13.5 nm wavelength for next-generation nanolithography, enabling the continued miniaturization of the features on chips. Generating the required EUV light at sufficient power, reliability, and stability presents a formidable multi-faceted task, combining industrial innovations with attractive scientific questions. This topical review presents a contemporary overview of the status of the field, discussing the key processes that govern the dynamics in each step in the process of generating EUV light. Relevant physical processes span over a challenging six orders of magnitude in time scale, ranging from the (sub-)ps and ns time scales of laser-driven atomic plasma processes to the several μs required for the fluid dynamic tin target deformation that is set in motion by them.
Sensitivity of parameter estimation near the exceptional point of a non-Hermitian system
Authors: Chen Chong , Jin Liang , Liu Ren-Bao 
Published: July 2019

Abstract
The exceptional points (EPs) of non-Hermitian systems, where n different energy eigenstates merge into an identical one, have many intriguing properties that have no counterparts in Hermitian systems. In particular, the

ϵ

1

/

n

dependence of the energy level splitting on a perturbative parameter ϵ near an nth order EP stimulates the idea of metrology with arbitrarily high sensitivity, since the susceptibility dϵ
1/n
/dϵ diverges at the EP. Here we theoretically study the sensitivity of parameter estimation near the EPs, using the exact formalism of quantum Fisher information (QFI). The QFI formalism allows the highest sensitivity to be determined without specifying a specific measurement approach. We find that the EP bears no dramatic enhancement of the sensitivity. Instead, the coalescence of the eigenstates exactly counteracts the eigenvalue susceptibility divergence and makes the sensitivity a smooth function of the perturbative parameter.
Elite Adaptive Particle Swarm Optimization for Target Coverage Problem in High-density Wireless Sensor Networks
Authors: Xu Mengying , Zhou Jie , Lu Yi 
Published: July 2019

Abstract
The rapid development of intelligent sensing, micro electro-mechanical systems and communication has made it feasible to equip low computational complexity, low energy consumption, autonomous, and intelligent sensor nodes. High-density wireless sensor networks (HDWSNs) have information acquisition and communication abilities. HDWSNs are widely used in a number of areas including traffic avoidance, homelands security, target monitoring and so on. One of the major challenges in HDWSNs is to maximize the point coverage percentage. It is important since it is known that obtaining an optimal coverage target for HDWSNs is an NP-hard problem. In this paper, we use an elite adaptive particle swarm optimization (EAPSO) to solve the issue of target coverage in HDWSNs. In order to improve the effectiveness of system, a system model is provided to evaluate the monitored rate for HDWSNs. The proposed EAPSO with an efficient particle swarm optimization in discrete mode has the advantages of both adaptive as well as elite strategy. Numerical simulations are conducted with a number of nodes and targets using EAPSO, evolutionary algorithm (EA) and simulated annealing (SA). In the simulations, a better performance of EAPSO is given when it is compared with EA and SA with the same computational complexity.
Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification
Authors: Zhang Wei , Ding Qingqing , Zeng Chao , Wang Chao 
Published: July 2019

Abstract
The quad-rotor UAV (Unmanned aerial vehicle) has a wide application market for its simple structure, easy operation and strong adaptability. During the flight, the endurance of UAV is an important parameter for flight planning, and it is of great significance to master the endurance capability of UAV. The endurance of UAV is mainly decided by the remaining capacity of the battery and the future energy consumption which changes with flight conditions. In this paper, a Flight Condition-Energy Consumption Model is established by analysing a large number of flight data with machine learning method, and the effects of different regression algorithms are compared. The validity of the model is verified by the actual flight. The endurance of the aircraft can be estimated using this model with the given remaining capacity of the battery and the future flight tasks.
RGB-D Indoor Object Recognition Algorithm Based on Fusion Convolutional Neural Network
Authors: Wang Decheng , Yi Hui , Zhao Feng 
Published: July 2019

Abstract
Aiming at the problems of insufficient network fusion and low detection efficiency in current object recognition using RGB-D images, a recognition algorithm based on the medium-level layer-by-layer fusion of dual-channel networks is proposed. First of all, the RGB and Depth networks are trained with ten labelled RGB-D indoor objects respectively, and then determine the fusion coefficients according to the identify accuracy of two types networks. Finally, two kinds of features are merged in convolutional layers step by step to obtain the final weights. By testing on the challenging NYU Depth v2 dataset, we found that the recognition accuracy of our method is 92.85%, and average detection time is 61.03ms per image. Through comparison experiments, we got the conclusion that average accuracy of the RGB-D layer-by-layer fusion network is 5.22% higher than that of the RGB network.
The Spread Behavior Analysis of a SIQR Epidemic Model under the Small World Network Environment
Authors: Liu Yuan , Zhao Yan-Yong 
Published: July 2019

AbstractIn this paper, we focus on the behavior of virus spreading on complex networks. A SIQR epidemic model on small-world network is established. We find the spread of infectious diseases threshold, which can determine the dynamic behavior of the system in a positive invariant set. If R0>1, there are two equilibriums in the system, the disease-free equilibrium and the endemic equilibrium. If R0<1, There is only the disease-free equilibrium in the system. It is globally stable in the positive invariant set. Furthermore, we analyze the equilibrium and its stability. Finally, some numerical simulation studies are provided to illustrate the effectiveness of the results.
An Improved Vision-Based Lane Departure Warning System under High Speed Driving Condition
Authors: Liu X T , Zou Y , Guo H W 
Published: July 2019

Abstract
Recently, Lane departure warning system has attracted great attention as it contributes to vehicle active safety. In this paper, a vision-based lane departure warning system under high-speed driving is proposed. The system consists of two functional parts: lane markings detection and vehicle departure identification. The Hough Transform is applied to detect lane boundaries, which is a most effective detection method with high reliability. Based on the road line, a method using several Euclidean-distance-related parameters to calculate vehicle’s position and its deviating status is proposed, which addresses the problem of efficient detection of lane departure under high-speed driving condition. The algorithm is tested and verified in various real driving conditions and proved a reliable and steady performance.
A Dynamic Hand Gesture Recognition Algorithm Based on CSI and YOLOv3
Authors: Zhang Qiang , Zhang Yong , Liu Zhiguo 
Published: July 2019

Abstract
Object detection algorithms based on convolutional neural networks are generally suitable for static gesture recognition. For actual hand gesture scenes, dynamic gestures are also widely used. A dynamic hand gesture recognition algorithm based on Channel State Information (CSI) and You Only Look Once: Version 3 (YOLOv3) is proposed for continuous dynamic hand gesture recognition. The data acquisition adopts a CSI-based radio frequency method. The adaptive weighted fusion, Kalman filtering, threshold segmentation and data conversion are used to generate gray value images. Finally, the YOLOv3 object detection algorithm is used to train and identify the grayscale image which include the information of continuous dynamic hand gestures. The effectiveness of the proposed method is verified by the recognition confusion matrix. And the proposed method has an average recognition accuracy of 94% for four custom dynamic hand gestures.
Research and Application of Target Tracking Algorithm in Ship Safety
Authors: Lin Bailin , Xiao Zheng’an 
Published: July 2019

Abstract
Target tracking is often used in tasks such as video surveillance. Its purpose is to obtain the target of interest in the sequence image accurately, robustly and in real time, and to establish the connection between the moving objects in each image. In recent years, with the continuous development of the global shipping economy, ships have gradually developed into large-scale and high-speed, and how to ensure the safety of ships sailing in these sports has become an important issue. Based on the principle of particle filter and mean shift algorithm, this paper takes the moving ship as the research object and uses the polynomial fitting method to analyse the performance of the two algorithms. A large number of experimental results show that the mean shift algorithm has higher accuracy, and the particle filter method has better real-time performance. And as the number of particles increases, the accuracy of particle filtering will gradually increase.
Force Balanced Axial Piston Motor Power Loss and Leakage Analysis
Authors: Wen Desheng , Sui Guangdong , Lv Shijun , Gao Junfeng , Li Dexiong 
Published: July 2019

Abstract
Aiming at the axial imbalance force when the traditional axial piston motor works, the force balanced axial piston motor utilized the concept of double stator to improve the structure of the traditional axial piston motor. Because of the special structure, the motor can not only achieve the axial force balance, but also output a variety of torque and speed. The working efficiency of the motor was an important indicator for evaluating the performance of the motor. Therefore, the power loss and leakage of the motor were analyzed in detail, and the prototype was tested. The experimental results showed that: (1) When the corresponding two single motors in the motor worked at the same time, theoretically, the leakage between the distribution cylinder and the cylinder accounts for the largest percentage of total leakage, reaching 56%. When the whole motor worked normally, the total leakage reaches 9.55L/min theoretically, and the leakage between the plunger and the plunger hole accounts for the largest percentage of the total leakage, which is 44% of the total leakage, and the distribution cylinder and cylinder the percentage of leakage between bodies has decreased, but its specific leakage has not changed. (2) The volumetric efficiency of the motor decreased as the pressure at the inlet of the motor increased, and the mechanical efficiency and overall efficiency increased accordingly. (3) When the motor inlet pressure was the same, the volumetric efficiency of two single motors at the same time was lower than the volumetric efficiency of the entire motor.
Calibration and Measurement Study on Density of Selective Laser Sintered 3D Printing Powder Bed
Authors: Li Jianqiang , Gao Guohua , Zhang Shuo , Du Yunsong 
Published: July 2019

Abstract
The commonly used method for measuring the density of a selective laser sintered powder bed is to extract a certain volume of powder bed powder, measure the mass of the powder, and then calculate the density of the powder bed using the mass formula. Aiming at the shortcomings of the existing methods, such as complex operation and low measurement accuracy, this paper proposes a method based on plumb bob method for selective laser sintering powder bed density measurement. The method can measure the density of the powder bed without causing large damage to the powder bed, and the measurement efficiency and precision are higher than the existing measurement methods. In this test, the most commonly used ABS powder was used, and its density was calibrated using the plumb method. The function of the depth between the depth of the plumb bobbin and the density of the powder bed was fitted to the density of the powder bed. The measurements provide data support.
Maloperation Prevention Filter for Touchscreen Used in Robot Arm
Authors: Yang L. , Ichikawa T. , Miyawaki Y. , Sakamoto R. , Kato N. , Yano K. , Shimada S. 
Published: July 2019

Abstract
In recent years, robot arms are being developed for self-reliance supporting for those who are unable to move without using an electric wheelchair or live a bedridden life. For example, mounting a robot arm on an electric wheelchair or bedside could help the limb disabled people to perform daily activities without nursing. However, the existing robot arms are mainly using traditional operation interfaces like keyboards or joysticks. Under different scenarios, some patients with upper limb disabilities such as contracture cannot operate such interfaces smoothly. In this study, in order to reduce the difficulty in operating robot arms, we developed a new kind of operation system using smartphone touchscreen as screen joystick operating interface. Meanwhile, the system includes a filter which detects and adjusts maloperation due to the capacitive touchscreen panel with high maloperation rate. Finally, an operating test was conducted by a patient with upper limb disabilities, and the effectiveness of this study was shown from the evaluation of the trajectory of robot hands from the initial position to the aim position. In the future, we are planning to develop an innovate operation system for a robot arm which is mounted on the wheelchair, with the effectiveness confirm by several operation tests.
The Optimal Control Problems of Exponentially Damped System
Authors: Xiu Guozhong , Bao Shi , Zhou Gang , Wang Liying 
Published: July 2019

Abstract
The optimal control problems of exponentially damped system are considered in this paper. Exponentially damped system involves convolution integrals over exponentially decaying functions, which is used as damping models in viscoelastically damped structures. The dynamic constraint is in the form of a differential equation that includes integer derivatives and the “integral” term. The performance index considered is a function of both the state and the control variables. The traditional state-space approach is extended to the optimal control problems of exponentially damped system, A direct numerical technique is used to solve the resulting equations. Numerical simulations are provided to illustrate the above control design.
Multi-Identification and Motion Control of a Two-Axis Pan-Tilt Platform
Authors: Fan Yihui , Zheng Xingyan , Ye Bin , Yang Yuzhe , Zhao Da 
Published: July 2019

Abstract
The two-axis pan-tilt platform (PTP) has been widely used in industrial control systems. The control performance of the PTP is sharply affected by the load variations, which are more significant on the pitch axis. Moreover, the PTP control system is sensitive to sensor noise and the friction moment. To achieve rapid and precise control, we build a pan-tilt platform model using the method of multiple system identification and design a speed controller and position controller on both the yaw and the pitch axes. The proposed method avoids the need to measure a large number of mechanical and electrical parameters. The experimental result shows that the proposed control system has small overshoot, fast response and suitable robustness. Relative to a controller designed and adjusted by experience, the designed system increases the bandwidth by approximately 50% on the yaw axis, and the settling time is decreased.
Design and Simulation of PI Controller with Two Degrees of Freedom
Authors: Yuyu Wang 
Published: July 2019

Abstract
Aiming at the fully coupled problem of steady state and dynamic performance of a PI controller with one degree of freedom, two kinds of two DOF PI controllers were designed based on the setpoint filter structure and the setpoint feed-forward structure, and the design method of compensation link was introduced.On this basis, a variable structure two-degree-of-freedom PI controller was designed with reference to the idea of variable gain PI controller.Finally, the simulation results show that the controller can not only simplify the process of setting control parameters, but also take into account the steady-state performance, dynamic performance and anti-jamming performance of the system, and realize the function of output fast, no overshoot, no error tracking input signal changes.
Semantic Segmentation based Dense RGB-D SLAM in Dynamic Environments
Authors: Zhang Jianbo , Liu Yanjie , Chen Junguo , Ma Liulong , Jin Dong , Chen Jiao 
Published: July 2019

Abstract
Visual Simultaneous Location and Mapping (SLAM) based on RGB-D has developed as a fundamental capability for intelligent mobile robot. However, most of existing SLAM algorithms assume that the environment is static and not suitable for dynamic environments. This is because moving objects in dynamic environments can interfere with camera pose tracking, cause undesired objects to be integrated into the map. In this paper, we modify the existing framework for RGB-D SLAM in dynamic environments, which reduces the influence of moving objects and reconstructs the background. The method starts by semantic segmentation and motion points detection, then removing feature points on moving objects. Meanwhile, a clean and accurate semantic map is produced, which contains semantic information maintenance part. Quantitative experiments using TUM RGB-D dataset are conducted. The results show that the absolute trajectory accuracy and real-time performance in dynamic scenes can be improved.
Lunar Rover Path Planning Based on Comprehensive Genetic Algorithm Based on Slip Prediction
Authors: Lanfeng Zhou , Lina Yang , Hua Fang 
Published: July 2019

Abstract
Aiming at the problem that the lunar rover path planning algorithm generally has slow convergence rate, falls into local optimal solution, neglects the mutual applicability of environment modeling technology and path planning algorithm, a comprehensive genetic algorithm based on virtual three-dimensional model is proposed. By setting the genetic factor unchanged, the terrain comprehensive cost function is added to set the fitness function. Using genetic algorithm and improved comprehensive genetic algorithm, after 100 simulation experiments, the improved comprehensive genetic algorithm has good search performance, fast convergence and high stability. The key words of this paper are as follows: path planning, terrain comprehensive cost function, genetic algorithm.
Conversion of n-alkanes C11-C22 using a catalyst based on Ni-Al mixed oxides
Authors: Petrov S , Valieva A 
Published: July 2019

Abstract
During the work composition and properties of Ni-Al mixed oxides samples were investigated. These oxides were obtained from Ni-Al layered double hydroxide using thermal and hydrothermal methods. Catalytic cracking of a model mixture of alkanes was carried out in the presence of Ni-Al mixed oxides samples. Gas chromatography, chromatography-mass spectrometry, and IR-spectroscopy were used for the analysis of gaseous and liquid products. X-ray structural, X-ray fluorescence, IR-Fourier spectrometry, the specific surface analyzer, particle size analyzer, microphotographic analysis were used for the analysis of the composition and properties of catalytic systems. According to X-ray structural and X-ray fluorescence analyzes, the composition of the supporting structure of the catalyst Ni-Al mixed oxide did not change after catalysis. The content of their low-boiling homologs increases, alkanes of a branched structure is formed in the products of n-alkanes cracking in the presence of the obtained mixed Ni-Al oxide.
Features of heavy oil spraying with single evaporation
Authors: Petrov S , Nosova A , Bashkirtseva N , Fakhrutdinov R 
Published: July 2019

Abstract
Development of resources of heavy hydrocarbons is possible due to the evolution of technologies of their processing, including through the intensification of technological methods implemented in the field of their production at oil treatment plants. The research is devoted to the creation of a method of refining heavy hydrocarbon raw materials based on multiple increases in the working surface of the liquid phase during its intensive evaporation. The intensification of the single evaporation process is based on the fact that the heated raw material is sprayed in a hollow apparatus with the division of the final product into a distillate and a bottomless residue. Due to the spraying of raw materials, the interface of the phases is greatly increased, the supramolecular convective mass transfer becomes so large that it is comparable to the diffusion transfer. The aim of the study is to obtain the data necessary to create energy-saving technologies for the separation of heavy hydrocarbon resources. The paper discusses the possibility of improving the process of single evaporation of heavy oil due to the development of the working surface of the liquid phase, which is realized by spraying the latter. The process of crushing oil into droplets is considered in unity and interrelation with all phenomena occurring in the apparatus. The phase boundary increases several times, which makes supramolecular convective mass transfer comparable to diffusive transfer, which allowed for the separation of heavy oil to increase the distillate selection more than 3 times, with the weighting of the residual product.