bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Improved Weighted Differential Evolution Algorithm Based on the Chaotic Mapping and Dynamic Reverse Learning Strategy
Authors: Wu Fengbin , Li Shaobo , Zhang Junxing , Lv Dongchao , Wu Xuefang , Li Menghan 
Published: December 2022

Abstract
The weighted differential evolution algorithm has the disadvantage of slipping into local optima and low convergence. To address these problems, an extended weighted differential evolution algorithm based on the chaotic mapping and optimal-worst dynamic opposite learning strategy is proposed. Firstly, the chaotic sequence generated by improved one-dimensional Logistic-Chebyshev mapping is employed to modify the starting population generated uniformly within the original algorithm, which aids in broadening the richness of the population. Secondly, to augment the probability of obtaining global optimum, an optimal-worst dynamic reverse learning strategy is used. Finally, a new evolutionary step size generation method is incorporated into the algorithm, which helps to acquire better solutions. The experimental outcomes obtained by testing 10 benchmark functions in CEC 2020 indicate that the proposed method has been greatly improved in accuracy.
Data-driven Decision-making Approach of Laser Cladding Parameters for Low Carbon
Authors: Zhang Yingtao , Tang Zirong , Zhao Lijuan , Lv Guangming , Duan Mingming 
Published: December 2022

AbstractThe machining performance, such as carbon emission, dilution ratio rate, and powder utilization rate, can be improved by selecting appropriate process parameters in laser cladding. However, the importance evaluation of machining performance by users is often fuzzy. How to make a reasonable decision about laser cladding parameters under this condition? To resolve the problem, a multi-objective fuzzy decision-making approach of laser cladding parameters is proposed using support vector regression (SVR), multi-objective dragonfly algorithm (MODA), and fuzzy TOPSIS. Firstly, SVR is used to build the correlation model among laser cladding dilution rate, powder utilization rate, carbon emission, and process parameters. Secondly, MODA is applied to search non-dominated process parameters (non-dominated solution) based on the model. Finally, the non-dominated process parameters are sorted by fuzzy TOPSIS according to the user’s evaluation, the process parameter ranking first is the laser cladding process parameters that best meet the requirements of users, and the feasibility and effectiveness of the approach are verified via the experiments. The low-carbon decision-making problem of laser cladding parameters under the fuzzy evaluation can be well solved by the proposed approach.
Robust visual odometry based on image enhancement
Authors: Gao Wenxiang , Yang Guizhi , Wang Yuzhang , Ke Jiaxin , Zhong Xungao , Chen Lihua 
Published: December 2022

Abstract
With the rise of augmented reality and autonomous driving, visual SLAM (simultaneous localization and mapping) has become the focus of research again. Visual odometry is an important part of visual SLAM. Too dark or too strong light will reduce the image quality, resulting in a large deviation in the visual odometry trajectory. Therefore, this paper proposes a visual odometry with image enhancement. Identify the lighting state of the image by estimating the brightness value of the input image. Gamma correction based on truncated cumulative distribution function modulation is used to enhance images that are too dark. For too strong images, negative image strategy is used. An improved algorithm can boost the detailed texture of the image in a poor lighting environment accurately, thereby improving the accuracy of feature point matching and the precision of the pose estimation. Tests on the public EuRoC dataset demonstrate that the presented algorithm has better localization precision and robustness.
Pallet Stamping Die Design
Authors: Dong Weian , Li Chunxu , Xu Xiaokui , Li Shaoxiang 
Published: December 2022

Abstract
Nowadays, the level of stamping dies in the world has been greatly improved, and stamping technology has also developed greatly. Based on the analysis of the pallet parts, it is determined that the required processes are punching and blanking. The compound dying for punching and blanking was chosen for processing after the processing method was examined. Specific design process: analyze the material used for the part, calculate the required punching force, and select the required press according to the punching force, the closing height of the die, and the size of the die handle hole. The parts required by the die, such as convex and concave die, stripper plate, fixed plate, and other components, should also be designed so that the processing of the parts can be completed after the assembly is completed. In the design process, CAD drawing software, three-dimensional drawing software, etc., can be used to complete the drawing of two-dimensional and three-dimensional drawings of parts, improve the efficiency of our drawing, and can also quickly solve problems existing in the drawing, which makes the design process simpler.
Mechanism Design and Mechanical Analysis of Reconfigurable Wheel-track Wheel Based on Offset Guide Rod Mechanisms
Authors: Li Zelin , Xu Linsen , Liu Jinfu , Sui Xiang 
Published: December 2022

Abstract
According to different terrain characteristics, combined with the motion characteristics of wheeled and tracked mobile mechanisms, a reconfigurable wheel-track hybrid deformable wheel with multiple motion forms is proposed and developed. It is composed of a track, wheel body, slewing bearing, and conductive slip ring. In the wheel body, the deformation mechanism, braking mechanism, and turnover locking mechanism can make it realize four kinds of motion forms, such as wheeled form and triangular-tracked form. Based on the corresponding parameter model, the static and dynamic analysis of the deformation mechanism is carried out. Among them, the dynamic analysis puts forward two solutions to the rigid impact problem in the deformation process, and the second solution is systematically modeled. It is found that it can be expressed as a standard second-order system, and the simulation parameters are set according to its characteristics to verify the feasibility of the scheme.
Structural Design and Spatial Geometric Error Modeling of the Machine Tool for Implant Denture
Authors: Zhao Gang , Zhao Gang , Shao Hua , Huang Bo , He Kai 
Published: December 2022

Abstract
Implant denture is the most essential method of oral repair, and its processing depends heavily on the precision machining center. Most special denture machine tools do not take into account the requirement of automatic machining of parts. During processing, the parts need to be double-clamped, which changes the geometry of the parts. In this paper, a small special machine tool with seven axes has been developed to realize the automatic processing of implant dentures. Firstly, the processing technology of implant dentures is introduced, and the function of a special machine tool is analyzed. Then, the mechanical structure of the machine tool is established. It has seven moving axes and two cylinders, with the capability of five-axis linkage and combined turning and milling. Uniquely, it has a backside machining unit, which allows the entire automated machining process to be completed after only one clamping. The topological movement chain of the machine tool under different working modes is introduced emphatically. The results show that the machine structure can satisfy the automatic machining process of denture parts. Meanwhile, the spatial geometric error model under each topology is established, which provides a theoretical basis for the error compensation of the machine tools.
Test and Analysis of Loading Resistance of Loader
Authors: Tan Cheng , Chen Yanhui , He Weitong , Hong Qiangang 
Published: December 2022

Abstract
In this paper, the resistance of the bucket and the change of the resistance during the loading process of the loader are studied. In the automatic shovel loading test, the bucket tip trajectory during shovel loading is planned reasonably by matching the shovel loading method (moving arm cylinder displacement and steering cylinder displacement with the linkage of the vehicle). The gravel material in the shovel loading test is analyzed. The shovel-loading process can be divided into the bucket insertion and shovel digging stages, and the resistance in the two stages was analyzed separately in terms of trajectory. It is obtained that the horizontal insertion resistance is proportional to the insertion depth of the shovel, the change of the resistance, the change of the resistance direction, and the trajectory of the shovel during the shovel excavation stage.
Continuous Estimation of Upper Limb Joint Angle Based on Stacked Denoising Autoencoder
Authors: Wen Liqun , Li Donglin , Pei Xinglong , Zhang Yan , Wang Jianhui 
Published: December 2022

Abstract
In the human-robot interaction system of the rehabilitation robot for stroke rehabilitation, surface electromyography (sEMG) signal-based continuous joint angle estimation has essential significance and implementation value. However, the existing intra-subject mode is time-consuming and lacks generality, while the adoption of the new inter-subject mode tests the model’s generalization ability; at the same time, the often-adopted multi-feature fusion strategy makes the feature dimensionality too high and increases the computational pressure of the system. In this regard, firstly, four time-domain features of multi-channel sEMG are extracted as the initial features; then, a stacked denoising autoencoder (SDAE) network is constructed to encode the initial set of sEMG features in low dimensions and extract more robust low-dimensional features; finally, an LSTM network is introduced as the regression network between sEMG features and joint angles. The results indicate that the feature extraction method proposed is superior to other methods and can be used for the control of the rehabilitation robot with a stable and accurate continuous joint angle estimation during motion.
Test Study on Strength of Laser Additive Manufacture AF1410 Steel I-Shaped Beam
Authors: Zhuo Yi , Ma Lina , Li Sanyuan , Su Shaopu , Li Lei 
Published: December 2022

Abstract
The static and fatigue strength of laser additive manufactured AF1410 steel I-beam were tested by a four-point bending test, and the same method was used to test the conventional forged, machined AF1410 short steel beams. The fatigues test data of both short beams were analyzed by DFR method. The test and analysis results show that the static strength of laser additive short beams is close to conventionally fabricated short beams, and the fatigue performance is weaker than that of forged, machined short beams.
Design of Thermostat Controlled Electrical Heating Circuits on Manned Spacecraft
Authors: Zhang Li , Fu Yang , Tang Zixin , Chen Ling , Feng Maolong 
Published: December 2022

Abstract
A thermostat is a type of contact inductive device. It has the features of being compact, lightweight, and high temperature control precision. A scheme for using a thermostat as a control device in the active electrical heating and temperature control circuit of the spacecraft is proposed. It is in line with the design requirement of the spacecraft thermal control system when the computer controlled heater-system is limited. Compared with the computer-controlled heater system, the thermostat-controlled heater system has the advantages of simple configuration, easy implementation, and high reliability under certain conditions. The thermal design of the shunt regulator, manipulator, portable light, and emergency brake device is analysed given the characteristics of the demands on manned spacecraft. The use of a thermostat to solve the temperature control problem when a computer is not available is a common feature of these thermal designs. The temperature results of the on-orbit test and ground test prove that using a thermostat in the heater system of spacecraft can ensure equipment is within the range of index requirement reliably.
Comparative Analysis of Horizontal Vibrating Centrifuge and Vertical Scraper Centrifuge
Authors: Dong Xiaolei 
Published: December 2022

Abstract
Horizontal vibrating centrifuge and vertical scraper centrifuge are the main equipment for the dehydration of the final coal in the coal preparation plant. They are widely used. There are many misunderstandings in the actual selection of centrifuges, which brings unnecessary problems to the later use. In view of how to reasonably select the two kinds of equipment and improve the actual use effect of the centrifuges, the structural composition, working principle and later maintenance cost of the two centrifuges are compared and analyzed, to provide reference and guidance for the effective utilization, cost saving and use effect improvement of centrifuges, so as to improve economic and social benefits.
Metal-organic frameworks-based hydrogen storage strategies and applications
Authors: Li Alex 
Published: December 2022

Abstract
Against the backdrop of rising emissions of greenhouse gasses and the need for sustainable fuel, hydrogen storage has recently become a popular energy storage option due to its many benefits, such as high energy capacity, low concentrations of side products, and relative ease of access. However, hydrogen storage is not perfect and possesses some critical flaws that prevent it from reaching its full potential, which include volatility and flammability. There are many candidates for hydrogen storage and also extant technologies to target hydrogen storage. Among all the ways proposed to store hydrogen, metal-organic frameworks (MOFs) have become increasingly popular because of their exemplary high surface area and adaptable pore structure. This research explores the various developments of MOFs in the field of hydrogen storage and how they may be improved and compared to one another. It will discuss the issues with current MOFs and design procedures and elements, such as making use of void spaces in MOFs. Then it will proceed to explore how MOFs have been enhanced through impregnation, catenation, and open metal sites. Lastly, this review will feature some breakthrough MOFs that have been promising for hydrogen storage.
Assembly state detection technology based on virtual reality for key components of large space deployable mechanism
Authors: Liu Jianze , Zeng Ting , Wang Yan , Ren Mingyan , Li Yun , Zhang Zhiqiang 
Published: December 2022

Abstract
Aiming at the highly reliable assembly demand of large space deployable mechanisms with complex interface relationships of components such as bars and hinges, the intelligent assembly state detection of components based on Mixed Reality technology was studied. We designed and built the assembly condition detection system of key components of large space deployable mechanisms, realized the installation position detection of key parts with the Histogram of Oriented Gradients and Support Vector Machine as the recognition algorithm of truss joint base and image processing of screws with truss joint. The detection system is applied to the assembly of the large space truss mechanism. The results show that the accuracy of part recognition is 100%. The system can reduce problems of missing or the wrong assembly and improve the automatic level of large space deployable mechanism assembly detection.
Modeling and Simulation of Torsional Resistance of Hollow Shaft with Small Diameter Based on ABAQUS
Authors: Liang Meiqin , Wang Shang , Ma Jinru 
Published: December 2022

Abstract
Torsional resistance is an important mechanical property of the shaft. The traditional torsional resistance measurement is based on the deformation of the strain gauge, which needs to be attached to the shaft under test. When the inner diameter of the hollow shaft is small, the stress measurement error of the inner wall of the shaft will be very large because the strain gauge has a certain size. To solve this problem and obtain more accurate data, this study adopts the finite element model simulation method to calculate the torsional resistance of a hollow shaft with a small diameter. The 3D finite element model is built and computed on the server. Rich data and colorful nephograms are acquired. The results show that the stress value of the same position increases with the increase of torque. When the torque is 6 kNm, the shaft is plastically deformed, and the maximum Mises stress reaches 432.2 MPa. The maximum Mises stress occurred on the outer surface of the shaft. When plastic deformation occurs on the outer surface, the stress on each part of the shaft increases. Finite element modeling and simulation can obtain rich data and visual nephograms, which is very helpful to the research of torsional resistance of shaft.
Data-driven model for calculating capacity efficiency margins for distribution substations
Authors: Huang Xin , Ding Juan , Zhang Jianyuan , Zhang Chunlin , Luo Hairong , Gao Bo 
Published: December 2022

Abstract
To solve the problem of the low recovery rate of critical loads in the capacity efficiency margin calculation model of the distribution substation area, a data-driven capacity efficiency margin calculation model for the distribution substation area is designed by identifying the data characteristics of customer-side resources in the distribution substation area, approximating the functional relationship between mechanical and electrical energy using segmentation functions, finding the equipment regulation strategies corresponding to historical load sequences from the database, designing a dynamic optimal tide framework using data-driven technology, discovering the shortcomings that limit the performance of network carrying capacity, and constructing a capacity efficiency margin calculation model. Test results: Under three different simulation scenarios, the average values of key load recovery rates of the distribution substation capacity efficiency margin calculation model and the other two models are 64.946%, 56.223%, and 55.024% respectively, indicating that the designed distribution substation capacity efficiency margin calculation model is more effective when fully combined with data-driven technology.
Research on Power Security in Key Areas of Urban Distribution Network
Authors: Tian Yongming , Mu Chenyu , Lu Jie , Ma Jianning , Du Jiancheng 
Published: December 2022

Abstract
To solve the problem that the voltage and current of power consumption in key areas of urban distribution networks exceed the safe range of power consumption, research on power consumption security in key areas of urban distribution networks is carried out. Under the condition of the feeder N-1 criterion, the maximum power supply capacity model of the urban distribution network is established. The theory of feeder interconnection is introduced to determine the security region of the distribution network. The security response is carried out for power users in key areas, and a new power security scheme is proposed. The example proves that the application of the safety guarantee scheme can control the voltage and current in the key areas of urban distribution networks within a safe range, and improve the overall operation safety of urban distribution networks.
Application of High-voltage Circuit Breaker Status Evaluation Method Based on Primary and Secondary Integrated Switch Detection Platform
Authors: Zhang Xinyu , Nie Yu , Zhao Chuanzong , Du Wei , Wang Yanan , Cai Zhiwei , Dong Wenhai , Liu Yanbing 
Published: December 2022

Abstract
This paper proposes a high-voltage circuit breakers status evaluation method based on the primary and secondary integrated switch detection platform to cope with the poor effect of existing evaluation methods. A high-voltage circuit breaker status evaluation index system was determined in combination with the actual situation of high-voltage circuit breakers. The subjective weight of the status of the high-voltage circuit breaker was determined with the analytic hierarchy process, the objective weight of the status of the high-voltage circuit breaker was calculated by the entropy method, and the analog acquisition accuracy of the high-voltage circuit breaker was improved with the amplification circuit design of the genetic algorithm. After the weight was determined, the overall weighted evaluation was performed, and the status of the high-voltage circuit breaker was evaluated through primary and secondary integration. Through comparative experiments, it can be seen that the results of the weight proportion test on the high-voltage circuit breaker status evaluation based on the primary and secondary integration are greater than that of the traditional high-voltage circuit breaker status evaluation method. Therefore, the designed evaluation method based on the primary and secondary integration can be better applied to the distribution network and protect the circuit.
Research and application of detection platform for distribution primary and secondary fusion switchgear
Authors: Zhang Xinyu , Nie Yu , Zhao Chuanzong , Du Wei , Wang Yanan , Cai Zhiwei , Dong Wenhai , Liu Yanbing 
Published: December 2022

Abstract
China’s power enterprises are actively promoting the combinations of primary and secondary devices for distribution switchgear. However, these devices are still being tested separately, and the testing devices are bulky and occupy a large area. In this regard, we propose a new type of testing platform that can achieve three functions: testing for primary devices, testing for a system that integrates primary and secondary devices, and testing for distribution terminals. Hardware components, plug-in modules, and internal interfaces are designed in a standardized and compact manner, and genetic algorithms are used to automatically generate test samples. The integrated test platform for switch sets is miniaturized and portable, and its test environment is more in line with the field test, thus offering more efficient and reliable test results compared to traditional testing devices.
User-side integrated energy system efficiency assessment system and application
Authors: Wang Yongli , Teng Yue , Yuan Bo , Zhou Hanzhi , Huang Aixi , Li Yuanfei 
Published: December 2022

Abstract
In view of the lack of systematic investigation on the evaluation indexes of user-side integrated energy systems, a scientific and systematic evaluation index system is proposed from four aspects: energy efficiency, cost-effectiveness, energy supply quality and environmental protection, and the calculation methods of each index are given based on time-series simulation and sequential Monte Carlo simulation. The results indicate that the proposed evaluation index system can provide a foundation for the decision-making of the user-side integrated energy system planning scheme.
Energy Efficiency Optimization Technology of Integrated Energy System Based on Digital Twin Technology
Authors: Sun Shumin , Xing Jiawei , Yu Peng , Cheng Yan , Wang Ruiqi , Wang Yuejiao 
Published: December 2022

Abstract
At present, the energy efficiency optimization of an integrated energy system generally needs to optimize the allocation of each unit and structural resources of the system according to the real-time load data of the system to optimize the operation. However, the existing technology for system load forecasting is not accurate enough, resulting in the energy efficiency coefficient is still relatively low after system optimization. On this basis, this paper proposes an integrated energy system energy efficiency optimization technology based on digital twin technology. According to the actual situation of the system, the mathematical model is established. The equivalent analysis of the system is carried out, the digital twin technology is used to forecast the system load in real time, and constraint conditions and the objective function are constructed The optimal energy efficiency optimization strategy is obtained by rolling optimization. The experiment proves that the system energy efficiency coefficient is higher after the application of the design technology.