bluuebunny/crossref_metadata_2025_split huggingface dataset:
Residual Shuffle Attention Network for Image Super-Resolution
Authors: Li Zhiwei , Zhang Yaping , Yang Yuwei 
Published: September 2021

Abstract
In order to improve the accuracy of the super-resolution network and reduce the number of model parameters, this paper improves its RCAB module on the basis of RCAN, and builds a reconstruction network RSAN that can improve the quality and efficiency of image super-resolution reconstruction. By replacing the original channel attention module with a more efficient and lightweight shuffle attention, it is mainly used to reduce the number of parameters, supplemented by improving the accuracy; and replacing part of the ordinary convolution in RCAN with split convolution is mainly used to improve accuracy, supplemented by reducing feature redundancy and parameters. The experimental results show that RSAN in this paper can not only obtain better subjective visual evaluation and objective quantitative evaluation, but also reduce the number of network model parameters and improve the efficiency of the network to a certain extent.
Estimation of Nitrogen Content in Citrus Leaves Using Stacking Ensemble Learning
Authors: Wu Tong , Li Yong , Ge Ying , Xi Shunzhong , Ren Mengjie , Yuan Xiaohui , Zhuang Cuizhen 
Published: September 2021

Abstract
Nitrogen is an essential biochemical component of citrus growth, and also an important indication to determine the quality and yield of citrus. The traditional method to obtain Leaf Nitrogen Content (LNC) is costly and time-consuming. Therefore, the rapid and accurate acquisition of nitrogen content information by satellite remote sensing is of great significance for citrus cultivation and production. Empirical models based on vegetation indices (VIs) have been widely used to estimate LNC, while individual model only extracts limited information. The ensemble learning strategy has shown great potential in machine learning, so Landsat8 OLI satellite remote sensing images and ground sample data are used to construct a two-layer Stacking ensemble learning framework for estimating the nitrogen content of citrus leaves in this study. In the proposed model, K-Nearest Neighbors (KNN), Random Forest (RF) and Support Vector Regression (SVR) are utilized as base-models. Linear Regression (LR) is employed as the meta-model. Results show that Stacking model can obtain better estimation results of citrus LNC, thus providing scientific decision support for orchard planting and production.
Dynamic Scheduling Framework of the Flexible Mixed-Model Assembly Line Based on the Internet of Manufacturing Things
Authors: Shi Lei , Zhong Yinghao , Yao Jianfeng , Dai Xiang , Guo Gang 
Published: September 2021

Abstract
In mass customization (MC), the assembly operations of modular products tend to be organized as the form of flexible mixed-model assembly line (FMMAL). The dynamic scheduling problem of FMMAL is quite complex with product sequencing, station allocation, material delivery, disruption events of station failure, product inserting and product reworking. To solve these problems, a comprehensive framework combining the architecture of Internet of Manufacturing Things (IoMT) with the dynamic scheduling algorithms is proposed. Firstly, the IoMT-based FMMAL are constructed via the multi-agent system (MAS) and ubiquitous environment. Secondly, a mathematical model of FMMAL is formulated with the decision variables, optimization objectives and constraint conditions. Thirdly, the IoMT-oriented algorithms for dynamic scheduling are proposed including the fuzzy analytic hierarchy process (FAHP) for normalization, weighted sum of properties-improved genetic algorithm (WSP-IGA) for prescheduling, priority weights search-simulated annealing (PWS-SA) for rescheduling. Lastly, a discrete event simulation of a numerical case is conducted to demonstrate the practicality and validity of proposed theories and algorithms. The results show that the proposed hyper-heuristics (WSP-IGA and PWS-SA) can respectively realize the prescheduling and rescheduling of FMMAL in four modes including the synthesized mode, time-efficient mode, just-in-time mode and energy-saving mode, which are superior to the four referenced meta-heuristics.
Robust ILC of Nonlinearly Parametric Time-Delay Systems with Input Deadzone
Authors: Wang Xidan , Ma Yuhan , Yan Qiuzhen , Zhang Yuntao , Guan Xiaohui 
Published: September 2021

Abstract
The trajectory tracking problem for a class of nonlinearly parametric systems with input deadzone and time-delay is studied in this work. An adaptive iterative learning control (ILC) scheme is developed by using Lyapunov synthesis. The alignment condition is applied to solve the initial position problem of ILC. Robust control and ILC are used to deal with input deadzone, delay and nonlinearly parametric uncertainties, together. As the iteration learning cycle increases, the system state may precisely track the reference signal over the whole interval. A numerical simulation is presented to verify the efficacy of the proposed adaptive iterative learning control method.
String Stability Control Strategy Analysis of Mixed Traffic Flow with the CIVs and NCVs
Authors: Zhang Junjie , Yang Can , Yu Haiyang , Zhang Jun , Wang Zixiao 
Published: September 2021

Abstract
With the development of vehicle-to-infrastructure cooperation system, a mixed traffic phenomenon with non-connected vehicles (NCVs) and connected and intelligent vehicles (CIVs) will exist over a long period of time. Therefore, the mixed traffic flow stability control has become a hot topic in the future. In order to improve the string stability in the complex and changeable internet of vehicles environment, it is necessary to propose the optimal control method of string stability in the mixed traffic flow. In this paper, NCV and CIV car-following modes are employed to propose a local platoon control method of the connected vehicle, which can achieve the purpose of optimizing the mixed traffic flow stability. Two types of local mixed platoon are considered when the effective communication distance with two vehicles in the vehicle-to-vehicle (V2V) communication. Numerical simulations results show that our proposed string stability control strategy has the effectiveness in the improvement of the mixed traffic flow stability.
Reverse Logistics Enterprise Performance Research Based on Super-Efficiency DEA and LMBP Neural Network
Authors: Pan Junlin , Li Guanliang , Luo Haiyan 
Published: September 2021

Abstract
On the basis of considering the characteristics of reverse logistics enterprises, this paper uses stakeholder theory to establish an evaluation system containing 36 indicators in five dimensions, based on the balanced scorecard, and adopts PCA optimization index. In view of the performance evaluation problem, first, the performance data is obtained by using the super-efficiency DEA, then the enterprise performance of A company is fitted by LMBP neural network to obtain the quantitative model of performance evaluation, and finally, according to the resulting weight reference performance benchmark, the direction of reverse logistics enterprise performance improvement is given. The simulation results show that the index system can react to the reverse logistics characteristics very well, and the BP neural network based on LM algorithm can accurately and efficiently evaluate the performance of reverse logistics enterprises which has better generalization, and can find out the key performance indicators and give reasonable optimization direction for enterprises by reverse tracking the weights of the neural network.
Research on Factors Influencing Smart Library Users’ Use Intention in the Era of Artificial Intelligence
Authors: Liu Jingwen , Song Dan , Li Weimo 
Published: September 2021

Abstract
The arrival of the era of artificial intelligence has promoted the development of smart libraries and endowed them with new features such as autonomy, autonomous learning, context perception, and multi-function. Analyzing how these new features affect users’ behavior is of great significance to the application of artificial intelligence and the optimization of services. Based on the TTF model, the four dimensions of product intelligence (autonomy, adaptability, reactivity, and multifunctionality) are introduced to represent the technology characteristics, and the research model is constructed. And the method of SEM is used to conduct empirical analysis. The results show that technology characteristics and individual characteristics are the main factors affecting the task-technology fit (TTF), while the effect of task characteristics on TTF is not significant. Among them, the impact of technology characteristics is greater than the individual characteristics. The relative importance of the four dimensions of technology characteristics is “Autonomy >Multifunctionality, Reactivity> Adaptability”. The TTF significantly positively affects users’ intention to use smart libraries. Therefore, the suggestions on optimizing smart services are put forward.
The Intelligent Robot Path Planning and Navigation System Based on Openlayers3 Online Map
Authors: Yang Liu , Yu Limin , Tao Sha , Yang Zhenghong , Gao Wanlin , Ren Yanzhao 
Published: September 2021

Abstract
The electronic map becomes more and more popular due to its convenience and powerful functions. This paper aims to use map information to build a system for path planning and navigation of an intelligent robot. It can provide a basis for field autonomous identification of crop diseases and insect pests with the robot as the carrier. The open source Openlayers is used as a tool to link online maps. And Dijkstra algorithm is used to obtain the shortest path. And then it can simulate a robot moving along the path by creating a moving point. In addition, it could accomplish a series of fundamental operations of controlling movement and the display of route details. The feasibility of the functions is verified by experiments and it lays a solid foundation for subsequent work.
The Construction Parameter Optimization of High-Speed Pantograph
Authors: Wang Jianpu , Ren Chenglong , Hong Lei 
Published: September 2021

Abstract
The composition structure of high-speed pantograph is analyzed, which is transformed into a four-rod mechanism, and the relative motion relation and its position coordinate equations are built by constructing a kinematics model. Based on the equations of motion of pantograph and the simulation of motion pattern between elevation height and transverse deviation of bow head, angle of balance arm is obtained by programming and running program in Matlab. The main parameters which are affecting high-speed pantograph lateral offset and balance arm rotation angle are analyzed. The relevant parameters are optimized by using the sequential quadratic programming (SQP) algorithm in Matlab. We compare the results after optimization with the results before optimization. Finally, according to the optimized results, the pantograph is modeled in Solidworks. The pantograph model is imported into the finite element analysis software to load, and the displacement cloud diagram of the pantograph bow head is obtained, and compared with the theoretical value to verify the optimization results.
Scheduling Data Flow between Data Centers Based on Software Defined Network
Authors: Hu Siquan , Huang Zhao , Shi Zhiguo 
Published: September 2021

Abstract
For intelligent control of network traffic, to solve the problem of low utilization of public network bandwidth, we put forward scheduling data flow between data center based on SDN technology. First, we connect the data center distributed in different locations by wide area network and exchange or share the research data of high performance. Then, the system can sense the utilization and performance of the network bandwidth resources between the data center. Based on the results of perception, we can dynamically adjust and optimize the path of data and maximize the utilization of network link. SDN is a new software based network structure. This paper uses SDN network architecture to schedule the traffic of data center, and constructs a two-layer network suitable for cloud computing and virtualization environment. It realizes the global, dynamic and intelligent data flow.
Research on Evolutionary Construction Method of Software Service Architecture Based on ACP
Authors: Gao Tilei , Yang Ming , Jia Xiaohui , Zhang Tao 
Published: September 2021

Abstract
In the open-source computing environment, the software service individuals that constitute the system are highly independent. The construction of software system is changed into combination and iteration, which puts forward higher requirements for the system architecture. Based on algebra of communication process, this paper abstracts the individual software service into service items, and uses the operation rules in communication algebra to realize the construction and modification of software architecture, thus ensuring the preciseness of the construction process and the stability of the architecture. Finally, a system with 12 sub services is used as a case to demonstrate the evolution process of service adding, deleting and replacing operation, which also verified the effectiveness and feasibility of the proposed method.
Research on regenerative braking system for linear control chassis platform
Authors: Gao Guowei , Li Xiaopeng , Xu Zheng 
Published: September 2021

Abstract
The regenerative braking system of the electric vehicle with the linear control chassis plays an important role in improving the mileage of the vehicle, which mainly solves the problem of large electricity demand for the linear control chassis. After analyzing the structural characteristics of the linear control chassis, the constraints of regenerative braking and the existing regenerative braking control strategies, a new regenerative braking control strategy is proposed, and the control strategy is modified. The regenerative braking control strategy model is established by Simulink / Stateflow, and the braking effect and energy recovery efficiency are verified by changing the initial braking speed. The simulation results show that the strategy can well complete the braking task of the vehicle, and the braking energy recovery rate increases with the increase of the initial braking speed. Reasonable control strategy can effectively improve vehicle energy recovery efficiency.
Dynamic Modeling and Control Method of Dual-Body Satellite
Authors: Zhao Tongshuang , Zhang Jiyang , Wu Dengyun , Luo Ruizhi 
Published: September 2021

Abstract
For the attitude control problem of dual-body satellite with non-solid connection between payload module and platform module, this paper proposes a dual-body dynamics modeling and control method based on the concept of disturbance-free payload(DFP). The payload module is rotated in orbit with high precision, and its forces can be determined by performing a force analysis on it. The Euler equation is used to calculate the attitude information of the payload module, so that the motion of the payload module can be described more accurately. By designing the control algorithm and the control loop with the idea of DFP, the attitude accuracy of the payload module is better controlled. The simulation results show that the controller can keep the attitude accuracy of the payload module within “1.65”, the results meet the expectation.
Development of simulation platform for Automatic Storage production line
Authors: Wang Qinghua , Hu Yanhua , Fu Renxuan , He Junyong , Ma Xinzhou , Wang Jun 
Published: September 2021

Abstract
This paper develops a simulation platform of automatic storage production line based on 89C51 single chip microcomputer, which provides students with an interactive classroom learning and laboratory practical activities to assist the practical learning of industrial robot and programmable controller. The test shows that the transformation of the simulation code into the corresponding actual equipment is real, feasible, safe and reliable.
Engineering Optimization Method of Orbit Transfer Strategy for All-electric Propulsion Satellites
Authors: Han Mingren , Wang Yufeng 
Published: September 2021

Abstract
Nowadays, all-electric propulsion satellites have shown very good performance in missions such as geostationary communication and deep space exploration, and have been widely concerned by major aerospace companies around the world. Because the excellent performance of the electric thruster can enable the satellite to carry more payloads. While the use of electric thrusters for orbit transfer saves fuel consumption significantly, it also leads to the problem of long orbit transfer time. To solve this problem, a simplified low-thrust orbit transfer strategy is designed, which is simple in form, easy to store, while having few parameters to be optimized. In order to optimize the simplified transfer strategy, a bidirectional stochastic gradient descent method suitable for on-board calculation is proposed, with a simple algorithm process and small computation. It can be known from actual calculations that after 600 times of orbit extrapolation, it can converge to the optimal solution. Finally, we can draw a conclusion that the algorithm is feasible and effective by numerical simulation.
Simulation Experiment Analysis and Verification of Ship Resonance for Shipboard Helicopter
Authors: Zhu Yan , Lu Yuhui , Sun Fengnan , Cheng Qiyou , Wang Siwen , Li Zhenkun 
Published: September 2021

Abstract
According to the dynamic characteristics of shipboard helicopter landing, the time-domain load of ship movement on the fuselage under complex sea conditions, the nonlinear dynamic characteristics of rotor damper, and the influence of rotor blade flapping movement and aerodynamic force are considered. The fuselage, rotor lagging damper, blade flapping and lagging movement and aerodynamic model are modeled separately as sub-models, and then the subsystems are integrated according to mechanical principles to finally establish the ship resonance analysis model of helicopter. The method for simulation experiment of ship resonance is put forward. The whole process of ship resonance experiment is dynamically demonstrated by digital simulation technology, which simulates the excitation load on the fuselage caused by the rise and fall and rolling movement of the ship. Actually simulates the lifting collective pitch and conducts periodic excitation by disturbing the control stick. Based on the transient response of the time-domain simulation dynamic system under disturbance, the stability of ship resonance is analyzed. The accuracy of the simulation method is verified through project cases, and the simulation experiment analysis techniques for accurately predicting the unstable boundary of ship resonance are mastered, which provides design and analysis means instead of the experiment that cannot be carried out in model development.
Analysis on reducing eddy current loss of axial motor by permanent magnet segmentation
Authors: Bu Yuhang , Wang Aiyuan , Qin Yifei 
Published: September 2021

Abstract
This paper gives the causes of eddy current loss of permanent magnet in axial permanent magnet motor, and puts forward the method of reducing eddy current loss by circumferential and radial combined sectional insulation of permanent magnet. The principle analysis and analytical formula derivation of permanent magnet sectional insulation to reduce eddy current loss are carried out. Finally, Maxwell three-dimensional finite element simulation is used to verify that the circumferential and radial combined sectional insulation of permanent magnet can greatly and quickly reduce the eddy current loss of permanent magnet of axial motor.
Fingertip blood sampling robot navigation system based on binocular vision
Authors: Li Xi , Ji Jiajia , Zhou Qin 
Published: September 2021

Abstract
In the fingertip intelligent blood collection robot, we need to move the blood collection needle to the designated position quickly and accurately, but it is difficult to meet the two indicators of speed and accuracy at the same time. This paper proposes a fast navigation method based on binocular vision. This method obtains the coordinates of the fingertip blood sampling point through three-dimensional reconstruction and contour extraction, and guides the robotic arm to quickly move the blood sampling needle to a position near the blood sampling point according to the coordinate position. The method in this paper is used for the rough navigation of blood collection robots, and it is verified by experiments that this method can meet the needs of blood collection robots.
Air ionizers case study
Authors: Qian Cheng 
Published: September 2021

Abstract
Fresh air is essential for humans’ physical and mental health, and it helps us relaxed and relieve stress. Air ionizers can remove harmful gases in the air and absorb suspended particles in the air, especially various bacteria and viruses. This report investigates the nature and working principles of air ionizers and discusses their application in the indoor environment and the protection of human exposure. We used the ozone emission test, particle removal rate and clean air delivery rate to analyze the effectiveness of four selected air ionizers. Simultaneously, this report identifies the side effects of air ionizers and advice more further studies about air ionizers before promoting them into daily-life use.
High Accuracy Attitude Controlling of Vehicles for launching According to Deformation Reconstruction
Authors: Liang Zhuang , Zhang Yulin 
Published: September 2021

Abstract
To solve the problem that the curvature information of the large flexible rocket body affects the attitude controlling for rocket body, the present study proposes an attitude controlling approach by complying with reconstruction for deformation, which can realize the highly precise attitude controlling of the large flexible vehicle for launching. Firstly, the deformation parameters of the rocket were obtained by using the fiber grating sensing device. Then, the deformation information and attitude information were introduced into the increment-based dynamic inversing control loop at the same time, and the attitude controlling framework containing the deformation information of the rocket was established. Finally, the results achieved based on the simulation show that for flexible vehicles for launching with obvious vibration and deformation, this approach can compensate the faults attributed to elastic deformation and improve the accuracy and stability of attitude control.
Study on dynamic characteristics of bearing-rotor system under ship sway condition
Authors: Ding Kongxing , Zhu Faxin , Yang Qijiang , Teng Xianbin , Chen Wenxiang , Wang Zhaojian , Zhang Xiao 
Published: September 2021

Abstract
On condition that pans and tilts, ship bearing rotor system stability and security, as the change of ship swaying amplitude have influence, based on independent research and development of guangzhou maritime college design of vertical and horizontal swing test bench, simulate the real working condition of ships at sea, in the performance of bearing rotor system under rolling condition were studied. LMS_TEST. LAB modal tester software was used to analyze the dynamic characteristics and collect the experimental data of the bearing rotor system for analysis and research. In this paper, the influence of period and amplitude on the dynamic characteristics of the bearing-rotor system and the influence on the axis trajectory of the bearing-rotor system under different working conditions are analyzed mainly under the rolling condition.