bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Temperature Effect and Calculation Method of Steel-Concrete Composite Bridge
Authors: Xiang W , Zhang H , Zheng ZY , Ding JK , Zhao Q 
Published: April 2023

Abstract
In order to investigate the mechanical performance of the steel-concrete composite beam bridge under temperature, the stress and shear distribution of the three-span composite continuous beam bridge under temperature are investigated by combining finite element and theoretical methods. The results show that the maximum error ratios of the longitudinal stress obtained by the two calculation methods are 8.7% and 9.4% under the system temperature and temperature gradient, respectively. The maximum errors of the stress curves are less than 5%, which is in the acceptable range. The reasonableness of the finite element calculation results is proved and a basis for the mechanical performance analysis of the combined continuous girder under temperature is provided.
Seismic Performance Assessment of Girder Bridges with Composite Rubber Bearings
Authors: Zhong HQ , Dang XZ , Deng XW , Guo JJ , Yuan WC , Wang ZQ 
Published: April 2023

Abstract
The objective of this study is to analytically assess the effectiveness of a novel composite rubber bearing (CRB), which is proposed to enhance both the displacement and damping capacities of the laminated natural rubber bearing (LNB), in improving the seismic performance of girder bridges. Four numerical bridge models respectively with the unbonded and bonded LNBs and CRBs (i.e. ULNB, BLNB, UCRB, BCRB) are established based on the bearing restoring force models. Then, incremental dynamic analyses (IDAs) are performed to obtain the fragility functions and the estimated economic costs. The results show that the bearing fragilities of the two CRB bridges are between those of the two LNB ones, but the pier damage is obviously mitigated by the CRBs, leading to the lower system vulnerabilities and economic costs. Allowing bearing sliding can further reduce the damage probability of the piers, but enlarge that of the bearings especially for the collapse limit state.
Sensitivity Analysis of Design Parameters of Prefabricated Cantilever Structure
Authors: Cao XX , Yang DH , Wu CF , Yang K 
Published: April 2023

Abstract
Prefabricated cantilever structure is a new type of structure in mountain expressway construction. In this paper, a new numerical simulation model of prefabricated cantilever structure is established. The model takes into account the modularization and assembly of components and the interaction between structure and soil. Based on the developed model, the effects of two design parameters (steel plate thickness between column and cantilever and column concrete grade) on the mechanical properties of the structure were evaluated. The modeling and simulation results show that the two design parameters have a slight impact on the mechanical properties of the main components (such as columns and cantilevers), but the steel plate between columns and cantilevers can significantly improve the mechanical properties of the connection structure. The thickness of steel plate can only be set according to the structure and stress distribution at the connection position
Experimental study on the flexural performance of steel-concrete composite section of self-anchored suspension bridge
Authors: Huai CZ , Ren ZM , wang L , Zhao CX , zhao FL , Luo J 
Published: April 2023

Abstract
In order to study the flexural performance of the steel-concrete composite section of self-anchored suspension bridge, a test model of the steel-concrete composite section was fabricated according to the scale of 1 : 3 based on the Wushui Bridge, and a four-point negative bending test was carried out. The results show that the residual displacement ratio is 0.7%, and the experimental model is in the elastic stage under the design load condition, which incidate that the component is safe under normal service condition. Under the overloading condition, the residual displacement ratio is 19%, the experimental model is in the elastic-plastic stage, but the stress of materials still meets the requirements. Under the two conditions, the deformation angle of the composite section is small and the stiffness transition is stable. The relative slip between the steel plate and concrete in the composite section is small (no more than 0.25 mm). The stress in the top steel plate and bottom steel plates of the composite section are gradually decreases during the transfer from the steel stiffening beam to the concrete side. The design of the steel-concrete composite section is reasonably loaded, and the mechanical properties are smoothly transferred.
RLS Channel Estimation Combined with Channel Equalization in Oversampled Frequency Domain for FBMC-QAM Systems
Authors: Sun HY , Li SY 
Published: April 2023

Abstract
In order to reduce the bit error rate and improve the anti-interference performance, this paper proposes a channel estimation algorithm based on RLS. RLS channel estimation algorithm obtains the current estimation data by modifying the final estimation data. First, the first data is estimated by least squares (LS), and then the date is adjusted in real time through forgetting factor and recursive formula to obtain all estimated data. The results show that RLS channel estimation algorithm can reduce the computation, improve the accuracy of channel estimation, and suppress noise interference. As the number of iterations increases, the channel estimation will be more accurate, effectively reducing the bit error rate.
Intention Recognition Method Based on Resting-state and P300 Task-state Dynamic Brain Functional Network Features
Authors: Yi X , Wang ZM , Heng X 
Published: April 2023

Abstract
In order to reconfigure its structure from the static state in the vision odd ball task, so as to realize the intention recognition based on the characteristics of the brain functional network. The thesis proposes the intention recognition method based on resting state and P300 task state dynamic brain functional network features. First, the brain connectivity in each time window is constructed into a brain functional network using phase lock value (PLV). Then, extract the global features (global efficiency, transitivity) of the brain functional network, and use Louvain algorithm to obtain the brain functional network community. The experimental results show that in the (100-200) ms of P300 task status, the core nodes are mainly concentrated in the forehead region and the central region, while in the (300-500) ms of P300, the core nodes are concentrated in the temporal lobe. The recognition accuracy based on this method reaches 93%.
Research on the Model of Rectifying the Longitude and Latitude of the Base Station in the Main Cell Based on the Adjacent Cell Data
Authors: Wang QS , Liu XC , Gao ZH , Gong YP 
Published: April 2023

Abstract
In order to solve the problem that the location prediction rate of the base station is low due to the insufficient MR data within the coverage range of the base station, based on the inspiration of the grip rule, the longitude and latitude correction model of the base station in the main cell based on big data is established by using the coarse positioning data and fine positioning data of adjacent cells. Taking Guangdong Telecom as an example, the experimental results show that the prediction rate of base station location is significantly improved from 69% to 92%.
Performance Analysis of Unslotted CSMA/CA Based On Channel Dedicated For VLC Networks
Authors: Yang Y , Feng ZY , Wang XB , Xu YW 
Published: April 2023

Abstract
Due to the advantages of rich frequency band, security and confidentiality, visible light communication technology is gradually regarded as an effective solution to the exhaustion of radio frequency(RF) spectrum resources. This paper designs a channel dedicated unslotted CSMA/CA algorithm, and analyzes the impact of collision probability, retransmission times, access failure probability, and normalized throughput on the network performance when transmitting non-real-time traffic. The results show that the collision probability is inversely proportional to the terminal payload packet arrival rate λ, as the number of terminals increases, the saturation collision probability of λ =1 is 0.501 and λ =2 is 0.382, The access failure probability increases nonlinearly with the increasing terminals numbers, but when the number of terminals exceeds 5, the access failure probability increases sharply, the normalized throughput decreases continuously and tends to saturate when the total channel traffic reaches the physical limit of bandwidth.
Mechanical System Structure Design of Transmission Line Maintenance Robot
Authors: Ma J , Li C , Zhang ZY , Jiang XH 
Published: April 2023

Abstract
Aiming at the problems of insufficient research and difficult control of existing transmission line maintenance robots, a modular four-wheel mobile robot mechanical configuration scheme is proposed. We analyze the working environment of the existing transmission line and the working requirements of the inspection robot. Then, the overall architecture design, function division and mechanical simulation of the robot are carried out, and a joint motion model that is easy to expand and universal is put forward. Finally, a prototype robot is developed, and corresponding software and hardware design of the control system is completed. The live line maintenance operation experiment is performed on simulated lines and actual transmission lines. The results show that the effective module division and reconstruction scheme of the configuration scheme are correct and feasible, and the joint motion trajectory of the robot is optimized, which also improves the work efficiency and safety.
Research on trajectory planning of mobile manipulator based on improved gradient projection algorithm
Authors: Wei LJ , Wu HB , Liu HL 
Published: April 2023

Abstract
This paper takes a 10 DOF mobile manipulator as the research object. Aiming at the problem of joint acceleration overrun in the trajectory planning of a 10 DOF Manipulator, firstly, the scale factor is obtained by the extremum method. Compared with the commonly used extremum method, the optimization degree and the self motion limit factor are introduced, and a new algorithm considering joint acceleration constraint is deduced and proposed. By comparing the simulation results of the inverse solution algorithm, the effectiveness of the new algorithm is verified. Finally, it is applied to a mobile manipulator with 10 degrees of freedom for example motion test. The test results meet the design requirements. The results will be actually applied in engineering projects.
Milling Simulation of NC System Based on 3D Modeling
Authors: Yi R , Xue MF 
Published: April 2023

Abstract
In order to avoid interference in NC milling process, a milling simulation design method of NC system based on 3D modeling technology is proposed. We use OpenGL technology and advanced object-oriented programming technology to perform a comprehensive object-oriented design of the NC milling simulation software system. On this basis, the tool motion parameters in the NC code are extracted and stored, the STL model is introduced as the data model of the machining object, and the interface mechanism between OpenGL and VC is provided. Finally, through the main interface of Visual C++ application program, the development of database and application system oriented to 3D end mill model is realized. The simulation results show that the method presented in this paper is more realistic for the establishment of the whole virtual milling machine profile, and it is suitable for general or more complex parts NC machining programming and simulation.
Modeling of the Mechanical Characteristics of the Prefabricated Cantilever Structure
Authors: Cao XX , Yin L , Peng C , Ryhuang  , Wu ZG 
Published: April 2023

Abstract
The prefabricated cantilever composite subgrade structure is a special and new type of structure suitable for the construction of mountain roads or the renovation and widening of old roads, but its related research is less. In order to reveal the mechanical response performance of precast cantilever composite subgrade structure, ABAQUS finite element software was used to model the mechanical response of such a unique structure. The results demonstrated that using a prefabricated structure and the integral modeling method increases the security of the tranverse displacement response of the column. The primary stress components of the constructed cantilever structure are not significantly affected by changes in steel plate thickness. The main load-bearing elements of the prefabricated cantilever structure are not significantly affected by changes in column concrete strength grade.
Optimization Design of Bolt-on Exhaust Hood for Fire Fighting Robot
Authors: OuYang LG , Wang G , Wang HY , Wang L , Huang F , Long TM 
Published: April 2023

Abstract
To solve the problem of frequent cracks in the air-cooled engine exhaust hood of a fire fighting robot, the structure parameters are optimized based on Beam element.Firstly,the finite element model of the exhaust hood is analyzed for pre-stress modal analysis, compared with the choice of Beam unit to simulate the bolted connection, and the RSM is used to optimize it.Secondly, the sample points are generated by Latin hypercube sampling, and the Kriging response surface model with good fitting is constructed. The sensitivity analysis is used to screen the targeted parameters, and the response surface optimization model with the total deformation, mass and first natural frequency as the target is established.Finally, MOGA is used to optimize the exhaust hood, and the optimal results are rounded and verified.The results show that the total deformation of the optimized exhaust hood is reduced by 7.18 %, the mass is reduced by 4.68 %, and the first natural frequency is increased by 74.98 %.The stiffness of the exhaust hood increases, which avoids the resonance interval. The application of Beam element effectively improves the simulation efficiency and provides a reference for the structural optimization of bolted connections.
Design of An Intelligent Manipulator Controlled by Gestures Based on FPGA
Authors: Li HN , Cong GT , Zhang XX 
Published: April 2023

Abstract
With the development of science and technology, manipulators are increasingly used in industrial production and daily life. The manipulator with traditional control mode has high requirements for operators, complicated operation, and human-computer interaction is inconvenient. In this paper, an intelligent manipulator system based on gesture control is designed. FPGA is used as the control core of the system. We apply the improved Canny algorithm processing, which can automatically recognize gesture information. After judgment, the control signal is sent to the manipulator to control the manipulator to complete the specified action. Through experimental testing, the system can successfully recognize all kinds of gestures, and can well control the manipulator to complete all kinds of actions. The human-computer interaction is more real, which greatly improves the intelligence of the manipulator system and helps to improve the work efficiency.
Power Optimization of UOWC-MIMO-OFDM System Based on PSO-WF Algorithm
Authors: Bai JR , Li N , Nie J , Liang XY 
Published: April 2023

Abstract
Under the constraint that the total transmission power is constant, when multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) technology is applied to the signal transmission design in the underwater optical wireless communication system (UOWC), the traditional water-filling algorithm (WF) uses mathematical derivation to solve the optimization problem, which requires multiple Lagrangian optimization solutions. In order to reduce the computational complexity and accelerate the convergence speed, a particle swarm optimization (PSO-WF) algorithm for water injection is proposed. It randomly selects particles in the target area, calculates the fitness, and gradually approximates the optimal solution to avoid negative power distribution. The simulation results show that, compared with the average power allocation scheme, the algorithm improves the system capacity and operation efficiency by about 80%; Compared with WF algorithm, it greatly reduces the complexity.
Temperature Control for Mass Concrete Construction of Wentang Bridge 5# Pier Pile Cap in Winter Construction
Authors: Sun ZY , Zhou JJ , Wang DM , Zhang J 
Published: April 2023

Abstract
In order to ensure the construction quality of mass concrete structures in winter, and avoid and prevent harmful temperature cracks of mass concrete, a calculation method of temperature field of hydration heat in winter based on finite element method is proposed in this paper. First, the three-dimensional finite element model of the temperature field of hydration heat is established; Then, the temperature variation of winter hydration heat temperature field of Wentang Bridge is calculated through experiments. The results show that the maximum measured temperature of the core point is 44.2 °C, and the corresponding calculated temperature is 53.7 °C. The maximum internal and external temperature difference measured is 24.7 °C, and the corresponding calculated temperature is 22.4°C. The research results prove that the calculation model can better simulate the concrete hydration process.
Big Data Preprocessing Approach for Smart Grid Based on Partial Order Reduction
Authors: Zhao LQ , Zhu JW , Zhang YH , Huang ZL , Li LC 
Published: April 2023

Abstract
In the age of big data, power grid data is characterized by large amount, fast speed and variable types. Traditional attribute reduction methods can no longer meet the needs of big data preprocessing. Therefore, this paper proposes a partial order attribute reduction method for power big data based on rough set. This method deeply analyzes the characteristics of the decision table, uses the parallelization algorithm to improve the attribute reduction algorithm, and effectively solves the efficiency problem in the computing process in the big data environment. Then it generates a series of MapReduce tasks corresponding to the generated Hive command, and obtains the decision rules through reduction. Finally, based on Hadoop platform, the incremental attribute reduction calculation of power fault data in certain area is designed according to the actual demand. The results show that the method has good performance in processing big data, and it can effectively process massive continuous power grid equipment monitoring data.
Ultrasonic Transducer-based Rebar Damage Monitoring Technology
Authors: Wang JY , Bu ZY , Qiu SL 
Published: April 2023

Abstract
In order to improve the accuracy of mechanical damage monitoring of steel bars, this paper proposes a method of mechanical damage monitoring of steel bars based on ultrasonic nondestructive testing technology. The influence of damage depth on ultrasonic was studied and analyzed, and the corresponding relationship between mechanical damage and ultrasonic characteristics was established. The test results show that the mechanical damage monitoring of steel bars based on ultrasonic nondestructive testing technology has higher accuracy and lower energy consumption and flexible installation.
Big Data Mining Analysis of Power Grid Based on Apriori Optimization
Authors: Zhao Liuqi , Feng Ziyan , Wang Ning , Zhu Jinwei , Li LinCheng 
Published: April 2023

Abstract
To ensure the safe and stable operation of the power grid system and strengthen the refined management level of the State Grid Corporation of China, a grid operation big data association analysis model based on Apriori association algorithm is proposed. This paper discusses the logic framework of the power big data platform, and describes the specific implementation from the functional architecture, technical architecture and other aspects. Aiming at the problem of massive heterogeneous power data and low sharing degree, the transaction matrix is pruned and compressed by setting the minimum support degree and establishing the frequent set matrix, and the implementation process of the improved algorithm on the MapReduce programming model of Hadoop platform is provided. Based on the research of Spark programming model, the improved algorithm is implemented in parallel style. The experimental results show that the efficiency of the algorithm after parallel processing has been greatly improved, which can also effectively improve the calculation amount and efficiency of power big data.
A Max-Min Scheduling Algorithm Based on TAS Mechanism
Authors: Guo J , Wang ZX , Wang HX , Cheng YZ 
Published: April 2023

Abstract
In order to solve the problem of too many guard bands and gate control lists (GCL) caused by time triggered (TT) flow scheduling per flow, this paper proposes a maximum minimum cycle scheduling algorithm based on time aware shaping (TAS) mechanism. At the same time, a period shift algorithm is proposed to overcome the excessive super period of TT flow. The results show that compared with the conventional scheduling methods, this method can ensure the deterministic transmission requirements of TT flows, and reduce the number of protection bands and GCLs.
MEMS-based Sensing Technology for the Gas Chromatograph Analysis
Authors: He Zilan , Hang Qingsha , Chen Baiquan , Chen Bangfa , Chen Sixiang 
Published: April 2023

Abstract
Device miniaturization based on MEMS technology is an important research direction in the field of MEMS. The gas chromatograph is a commonly used instrument for detecting complex gases, but due to its large size, high power consumption, and heavyweight, it is not convenient and cannot meet people’s needs for real-time, online, and rapid access to information. Therefore, the miniaturization of gas chromatographs combined with MEMS technology is a research trend. This paper first introduces the basic structure of the gas chromatograph. Then it studies the miniaturization of columns, detector miniaturization, and flow meter miniaturization based on MEMS technology, combined with cross-micro-nano scale integration technology to further improve sensitivity, and summarizes the prospects.
Research on HVDC Supplementary Two-Stage Transient Control and Smooth Switching
Authors: Hao Liangshou , Bai Leicheng , Peng Fukun , Lei Zhaoyu , Wang Di , Tang Li 
Published: April 2023

Abstract
HVDC additional transient control is an essential means to elevate the transient stability of AC/DC interconnected systems and the inevitable requirement of intelligent transmission. Two-stage transient additional control and a smooth switching strategy are proposed. By establishing an extended state observer for unbalanced power in the system disturbance, the real-time and accurate estimation of unstable power is realized, and an adaptive emergency power support controller is constructed. The mathematical model of the system is identified by using Total Least Squares-Estimation on Signal Parameters via Rotational Technique (TLS-ESPRIT). Based on the singular value reduction theory, the HVDC additional Active Disturbance Rejection Damping Controller (ADRDC) that can inhibit the low-frequency oscillation of the system is designed. Finally, two switching strategies are designed based on the change in the state of the network fault switch and the change in the power angle oscillation curve. The three-in-feed HVDC system is built in PSCAD, and the simulation analysis is carried out. The simulation results confirm the validity of the proposed method.