bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fast Path Planning for Firefighting UAV Based on A-Star algorithm
Authors: Gao Jianfeng , Zheng Yu , Ni Kai , Mei Qiliang , Hao Bin , Zheng Long 
Published: September 2021

Abstract
When the long distance oil-gas pipeline accident occurs, the fire UAV can give priority to the place where the accident occurs. Emergency investigation and fire rescue, greatly reduces the harm of the accident. However, due to the limitation of the UAV navigation system, the UAV will accumulate the positioning errors over time in the flight process. If the positioning errors can not be corrected in time, it will make the UAV unable to reach the intended destination, thus leading to the failure of the rescue mission. In view of this phenomenon, we propose a UAV path planning scheme considering positioning errors. Taking the UAV’s total flight path as short as possible and errors correction points as few as possible, a multi-objective programming model is established considering errors correction constraints and path constraints. The Euler distance with coefficient is selected as the estimated cost function of A-Star algorithm, and the optimal flight path of UAV is quickly planned through heuristic search. Taking the data of a certain flight area as an example, we have simulation results showing that the A-Star algorithm can quickly and effectively solve the problem of UAV flight path planning considering positioning errors.
A Novel Approach of Interface Stiffness Identification Based on Wave Propagation Method
Authors: Yuan Bo , Mu Xiaokai , Wang Yunlong , Zhang Chao , Sun Qingchao , Sun Wei 
Published: September 2021

Abstract
The contact joint in mechanical system will bring uncertainty, which leads to the uncertainty of dynamic response. Identification of interface stiffness is particularly important in the assembly process, such as bolt connection and rivet connection. In this paper, the contact joint can be regarded as a kind of structural discontinuity, and the contact joint in two beams is modeling with shear stiffness and bending stiffness. The wave theory is integrated into the Euler-Bernoulli beam theory to establish the relationship between the power reflection coefficient and the interface stiffness. The proposed method is verified by establishing a finite element model. The results show that the interface stiffness is accurately identified. In addition, the influence of interface stiffness on power reflection coefficient is discussed. This method has better local characteristics and avoids the disadvantages of identification by natural frequency method.
Knowledge graph based System model configuration design
Authors: Fu Chao , Liu Jihong , Zhang Longxi , Mao Yinxuan , Jin Jie 
Published: September 2021

Abstract
When solving the complexity problem between different fields, traditional document-based system engineering (TSE) is difficult to meet current research and development needs, and model-based system engineering (MBSE) is the best choice. With the implementation and application of MBSE in enterprises, the system model files are gradually accumulated. Therefore, this paper studies the reusability of the system model and builds the system model knowledge graph to achieve efficient reuse of the existing system model. A product configuration method based on subgraph matching is proposed and by configuring the product, the designer can obtain more feasible solutions, and then get the best design solution. Finally, an example of remote sensing satellite design is given to verify the effectiveness of the method.
Research on Fast Estimation Method of Fuzzy Parameters for Motion Blurred Images
Authors: Luo Jinhui , Bo Tao 
Published: September 2021

Abstract
Motion blur distortion is the most common type of image distortion in daily life. the research on motion-blurred image restoration technology has developed more mature. Classical algorithms such as Wiener filter and Kalman filter and various improved algorithms can achieve better results, but they take a long time and have great limitations in actual image restoration application scenarios. To solve this problem, this paper proposes an algorithm for fast restoration of image motion blur, an improved algorithm based on Randon transform to judge the image motion blur angle, and studies the algorithm for estimating the blur length under the condition that the blur angle is determined, and obtains two motion blur parameters of blurred image. Experimental results show that the fast image restoration method proposed in this paper has shorter time consumption, stronger anti-noise interference ability and better practicability.
Research on the influence mechanism of assembly stress on reliability of space deployable mechanism
Authors: Zeng Ting , Wang Huaiming , Chen Lihui , Li Yun 
Published: September 2021

Abstract
The on-orbit performance of spaceborne SAR satellite mainly depends on the unwrapping precision of antenna panel, which is determined by its supporting pole system. The assembly stress of the pole system affects the antenna deployable precision in the assembly process of SAR antenna deployable mechanism. Aiming at this problem, this work presents a efficient method that the three-dimensional model of the deployment mechanism of SAR antenna is established, and the method of finite element simulation analysis is adopted. Prestress is applied to the pole system to simulate its assembly stress, and then we study the deformation law of the antenna panel under different assembly stress combinations of the mast system, and the mapping relationship is determined between the mast system and the flatness of the antenna panel. The most sensitive pole affected by the antenna panel deformation is obtained. The results show that the flatness of the antenna panel is related to the dimensional tolerance and position of the pole system, especially Large dimensional tolerance results in large deformation of antenna panel. In addition, the deformation area of antenna panel is determined by the assembly stress of different pole combinations. According to this research, it is concluded that the poles which should be controlled are obtained in the assembly process of the antenna deployable mechanism, which lays a theoretical foundation for the high precision assembly of the truss space deployable mechanism.
Finite Element Analysis for the High Pressure Rotary Cylinder Block
Authors: Tu Gongyi , Li Jianguo , Jiang Yanling , Zhang Xiancheng 
Published: September 2021

Abstract
As a pneumatic actuator, high pressure rotary cylinder has been successfully used in some ships, which can provide large torque output and is small and easy to install. The finite element method is used to calculate the cylinder block of high pressure rotary cylinder, and the stress and deformation of the cylinder block are analyzed by using the real stress-strain curve of metal materials. The distribution of stress and deformation is obtained. Moreover, the influence of 1 ~ 7MPa gas pressure on stress and deformation of the cylinder block is investigated. The maximum stress and deformation of the cylinder block under different pressure loads are obtained. The analysis results provide a basis for the design and operation of high pressure rotary cylinder.
Preparation and properties of magnesium oxysulfide inorganic microwave absorbing coating
Authors: Zhao Xu , Hao Wanjun , Zhao Feng , He Nan 
Published: September 2021

Abstract
This paper mainly introduces the harm of electromagnetic radiation pollution, and based on the electromagnetic wave absorption theory, the microwave absorption performance of single-layer microwave absorbing coating with magnesium oxysulfide cementitious material as matrix material and iron tailings as microwave absorbing agent is studied. The experimental results show that the absorbing effect of the absorbing coating mixed with 0.5 proportion iron tailings is the best, and the absorbing performance increases obviously with the increase of thickness. The maximum absorption value of 3mm thick coating sample is - 6.0 dB. The prepared microwave absorbing coating has certain application value in electromagnetic protection.
Research on path Planning algorithm of Unmanned ship in narrow Water area
Authors: Sun Liang , Zhao Yue-lin , Zhang Jian 
Published: September 2021

Abstract
Aiming at the problems of strong random search characteristics and high volatility of planning path in bi-directional Rapidly-exploring Random Tree (bi-RRT) algorithm, a new random tree growth strategy is proposed, the connection between random trees is improved to improve the path-finding speed of the algorithm, and the improved bi-RRT algorithm is used to design a path planning algorithm for unmanned ships in narrow waters. At the end of this paper, the unmanned ship path planning experiment in the island and reef area is carried out, and the experimental results show that the unmanned ship path planning algorithm based on the improved bi-RRT algorithm can quickly provide a safe path for the unmanned ship in narrow waters, and has advantages over the traditional bi-RRT algorithm in terms of time performance, planning path length and volatility, which can provide relevant reference for the research of unmanned ship intelligent navigation.
Research on Electronic Bill of Lading of Container Shipping Based on Blockchain Technology
Authors: Shi Hankun , Wang Xuelin 
Published: September 2021

Abstract
This paper analyzes the electronic bill of lading technology of container shipping, and solves the key problems such as the loss of bill of lading during the circulation of paper bill of lading. Based on the optimization of the basic structure and core technology of electronic bill of lading, this study incorporates the blockchain technology, analyzes the fit between blockchain technology and electronic bill of lading, and constructs a new model of electronic bill of lading for container shipping based on blockchain technology, which improves the safety and stability of shipping transaction information and provides more effective solutions for the future practice of electronic bill of lading for container terminals.
An image reconstruction algorithm based on classified block
Authors: Zhang Yuanwei 
Published: September 2021

Abstract
This paper constructs a compression image reconstruction algorithm(ABCS-MMSE). ABCS-MMSE overcomes the defects of compression sensing sampling. It not only constructs the block measurement matrix at encoding end but also generates the block recovery matrix at decoding end. Experimental results show that the average reconstruction time of ABCS-MMSE is much lower than that of BCS-SPL-DDWT and that of BCS-SPL-DCT. At the same time, for the images with smooth information, the reconstruction quality of ABCS-MMSE is not much worse than that of BCS-SPL-DDWT and that of BCS-SPL-DCT.
A comparison of parameters optimized-type VMD methods used in bearing fault diagnosis
Authors: Xu Wang , Hu Jinfei 
Published: September 2021

Abstract
In the early fault stage of bearings, the impact component of the signal is easily submerged by strong noise. To solve this problem, some fault diagnosis methods have been developed based on the variational mode decomposition (VMD) with optimized parameters. In this paper, we compare the performance of three different VMD methods with parameters optimized by whale optimization algorithm (WOA), grey wolf optimization (GWO) and particle swarm optimization (PSO), respectively. The results show that under the same conditions, the performance of WOA-VMD is better than that of the other two optimized VMD methods.
Safety monitoring method of vehicle bridge stress structure based on wireless sensing technology
Authors: Lian Depan 
Published: September 2021

Abstract
In the safety monitoring of bridge stress structure, the influence of surrounding environment and noise interference will cause the change of monitoring node coverage and affect the monitoring accuracy. Based on wireless sensor technology, a safety monitoring method of vehicle bridge stress structure is proposed. The interpolation fitting method is used to calculate the stress value of the sensor, and the optimal layout of the sensor is determined with the minimum deflection transfer error as the objective function. Probability sensing model is used to establish wireless overlay network, and wireless sensing technology is used to collect monitoring data. Based on the monitoring data, the static and dynamic response equation is established to establish the finite element model of bridge stress structure. The first level early warning threshold is determined according to the monitoring data under the normal operation state of the bridge, and the second level early warning threshold is determined according to the most unfavorable load distribution of the finite element model, so as to complete the bridge safety monitoring. The experimental results show that the average deformation deviation of the monitoring method proposed in this paper is 0.26mm, which is 0.77mm and 1.22mm smaller than the monitoring methods based on machine vision and GPS differential positioning technology, indicating that the monitoring method in this paper is more accurate and meets the safety requirements of bridge engineering.
Modal and structural defect analysis for a new docking mechanism
Authors: Lan Weibin , Fan Shouwen 
Published: September 2021

Abstract
In medium or small-sized spacecrafts’ docking process, it’s feasible to adopt a flexible probe for the probe-cone docking mechanism instead a buffer to reduce the docking impact force. The governing equations of kinematics and dynamics are derived from Lagrange analytical method. The influence parameters of the impact force are separated by simplifying the impact mathematical modeling. The effects of the influence parameters in the impact force, such as the length of docking beam, and the material of the docking mechanism, are discussed by finite element method. The varation amplitude and varation frequency are obtained by docking experiment, and reliability and correctness of the analysis reuslts are verified.
Research on the New Type of Error Detection Platform for Photoelectric Encoder
Authors: Li Kun , Cao Guohua , Ding Hongchang , Hou Han 
Published: September 2021

Abstract
In order to realize the error detection of high precision optical encoder, an error detection method of optical encoder based on optical continuous closed loop (OCCL) was proposed, by the principle of small angle measurement of photoelectric autocollimator and single reflector. Firstly, the configuration of the OCCL error detection platform for optical encoder is designed. Then, the error detection principle of the OCCL optical encoder is analyzed. Finally, the OCCL photoelectric encoder error detection system is established, and the calibration auto-collimator and the regular 23-hedral polyhedron are used to calibrate the accuracy of the detection system. The experimental results show that the new photoelectric encoder error detection platform is frequent, convenient, stable and reliable, and the accuracy of the detection platform can reach 1.64” in the rated working speed range, which can meet the requirements of high precision (2”) and 360° full circle continuous error detection for the encoder.
A New Application of Taguchi Method: Matching and Optimization of Assembly Deviation of Mechanical System
Authors: Mu Xiaokai , Yuan Bo , Wang Yunlong , Sun Qingchao , Zhang Chao , Sun Wei , Liu Chong 
Published: September 2021

Abstract
In order to achieve high assembly accuracy on the basis of low manufacturing accuracy and low cost, a method of deviation factor matching and optimization based on Taguchi theory is proposed. Firstly, the specific process of multi factor matching and optimization is given based on Taguchi theory. Secondly, the orthogonal experiments were set from the aspects of performance index, influencing factors determination, orthogonal table selection and so on, and the best level combination of each deviation was selected to form the factor matching and optimization experiment scheme based on Taguchi method. Finally, taking the horizontal machining center as the object, the Taguchi method is used to match the deviation factors of each mating surface, and the best parameter combination of control factors is A1B2C2D1E1, which verifies the effectiveness and practicability of Taguchi method. The research method in this study provides a strong support for the realization of high assembly accuracy and performance without increasing cost.
Research on Ship Fire Monitoring and Alarm System
Authors: Han Huimin , Dai Wenjuan , Zhou Han , Sun Xinchun 
Published: September 2021

Abstract
This paper analyzed the application status of land fire protection system and the characteristics of ship fire protection, and analyzed the functional requirements of ship fire protection system according to the ship special environment with crowded escape routes and complex structure. Using distributed intelligent control mode and modular structure design, a monitoring and alarm system composed of sensor acquisition module, microprocessor, central server, audible and visual alarm module, liquid crystal display module and CAN bus communication is constructed. The designed system has simple structure, stable performance and high cost performance, and has certain application and promotion value.
Offshore drilling accident analysis based on Dynamic Bayesian Network
Authors: Wang Xingzhong , Kou Xinghua , Huang Jinfeng , Wang Wanli 
Published: September 2021

Abstract
Offshore drilling operations has the characteristics of far offshore, harsh environment, high risk and great technical difficulty. It is difficult to deal with offshore drilling accidents, and it is easy to cause serious social and economic problems. Based on the risk records of drilling engineering, this paper analyzes the forms and causes of offshore drilling accidents, and establishes a dynamic Bayesian network analysis model for offshore drilling accidents. With the dynamic Bayesian network, the prediction probability of drilling risk is calculated. According to the blowout accident in offshore drilling, the analysis results show that the risk of blowout accident is is as high as 50.6%. The research results show that the method and the model presented in the paper is contributed to analysis and prevention of offshore drilling accidents.
A novel detection method for signal disturbances in the ship distribution network based on morphological gradient
Authors: Zhang Yong , Li Chengjun 
Published: September 2021

Abstract
Aiming at the deficiencies of the current detection methods for signal disturbances in the ship distribution network, such as low accuracy and slow detection speed, a new detection method for signal disturbances in the ship distribution network based on morphological gradient is proposed. The effectiveness of the proposed method is verified by comparing its detection accuracy and speed with an existing method on five typical signal disturbances in the ship distribution network. The comparison results show that the proposed method can detect the signal disturbances in the ship distribution network quickly and accurately.
Research on the Application of Computer Aided Technology in Mechanical Innovation Design
Authors: Zhou Han , Zhao Feng , Chen Danping , Han Huimin 
Published: September 2021

Abstract
In this paper, Creo technology as a means to achieve innovative suspension design smart shoe, for example, describes computer-aided 3D modeling technology in mechanical product design, kinematics analysis, application of intelligent control and other aspects. And through sample manufacturing verification, the shoe cabinet has stable performance and reliable operation, and summarizes the feasible application methods and advantages of computer-aided technology in the innovative design of mechanical products.
Analysis on Variation of Oxygen Loss Rate in AIP System
Authors: Shi Feng , Zeng Fan , Zhou Zuo 
Published: September 2021

Abstract
In view of the complex thermodynamic state inside the lox tank of SE/AIP oxygen supply system, the evaporation rate of liquid oxygen is proposed as the index of oxygen loss inside the oxygen tank (evaporation rate in short). A formula is derived from the thermodynamic point of view based on SE/AIP system usage record data calculate the evaporation rate of liquid oxygen, and on this basis, the influence law of evaporation rate is calculated and analyzed from three aspects.
Proper characterisation of the parol evidence rule and its applicability in international arbitration
Authors: Chan Darius , Lau Yi Hang Louis 
Published: September 2021

Abstract
Most arbitral statutes and institutional rules give great latitude to tribunals on the admissibility of evidence, and do not mandate application of domestic rules of evidence. In common law jurisdictions where the parol evidence rule applies, the issue that arises is whether the parol evidence rule is necessarily a procedural rule of evidence which tribunals are not bound to apply, especially in jurisdictions which have codified the rule under domestic evidence legislation. Notwithstanding any codification, this article argues that the parol evidence rule at common law is a substantive rule of contractual interpretation that should be applied as part of the lex contractus in international arbitration proceedings. Faithful application of the parol evidence rule as a substantive rule of contractual interpretation ensures that adjudicators arrive at the same interpretation on the same set of facts, thereby promoting uniformity, predictability, and consistency, regardless of the mode of dispute resolution.
Construction of Lightweight Authenticated Joint Arithmetic Computation for 5G IoT Networks
Authors: Hsu Chingfang , Harn Lein , Xia Zhe , Cui Jianqun , Chen Jingxue 
Published: September 2021

Abstract
The next generation of Internet of Things (IoT) networks and mobile communications (5G IoT networks) has the particularity of being heterogeneous, therefore, it has very strong ability to compute, store, etc. Group-oriented applications demonstrate its potential ability in 5G IoT networks. One of the main challenges for secure group-oriented applications (SGA) in 5G IoT networks is how to secure communication and computation among these heterogeneous devices. Conventional protocols are not suitable for SGA in 5G IoT networks since multiparty joint computation in this environment requires lightweight communication and computation overhead. Furthermore, the primary task of SGA is to securely transmit various types of jointly computing data. Hence, membership authentication and secure multiparty joint arithmetic computation become two fundamental security services in SGA for 5G IoT networks. The membership authentication allows communication entities to authenticate their communication partners and the multiparty joint computations allow a secret output to be shared among all communication entities. The multiparty joint computation result can be used to protect exchange information in the communication or be used as a result that all users jointly compute by using their secret inputs. A novel construction of computation/communications-efficient membership authenticated joint arithmetic computation is proposed in this paper for 5G IoT networks, which not only integrates the function of membership authentication and joint arithmetic computation but also realizes both computation and communication efficiency on each group member side. Our protocol is secure against inside attackers and outside attackers, and also meets all the described security goals. Meanwhile, in this construction the privacy of tokens can be well protected so tokens can be reused multiple times. This proposal is noninteractive and can be easily extended to joint arithmetic computation with any number of inputs. Hence, our design has more attraction for lightweight membership authenticated joint arithmetic computation in 5G IoT networks.