bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Acoustic Emission Source Localization in the Pipeline Network with consideration of Radial Position of Defect
Authors: Li Hongyu , Geng Lei , Zhang Lu , Shi Yajun 
Published: February 2022

Abstract
Pipeline as one important mode of transportation, its safety is a very critical public concern. the acoustic emission (AE) played a very important role in pipeline safety inspection and monitoring due to its Many advantages. Moreover, AE is capable of localizing the defects in complex geometry in a real time, which is one of the most significant merits of this technique. For the localization algorithm, the 1D or 2D localization is most commonly used in AE measurement. The pipeline has been simplified as “axial line” without consideration of radial direction; however, in large-diameter pipelines, if the radial or circumferential direction across the certain position was ignored, it can cause the negative impact on the accuracy of the AE localization of pipeline defects. Therefore, this study explores the influence of radial position of the defects associated with the pipeline diameter on AE localization. Six typical pipe schedules were selected and modelled by COMSOL Multiphysics5.5 software. the tone burst wave and pencil lead break was used as the artificial AE source. The numerical model has been validated experimentally. By parametric study, it has been concluded that with the increase of diameter, the wave propagation path cannot be simply considered as the straight line anymore. Otherwise, the error of the localization will increase. Therefore, it is necessary to consider the influence of the radial position and real path of wave propagation for the precise localization of the defects in the large diameter-pipeline.
An Approach to Calculate Inverse of LR-Trapezoidal Fuzzy Matrix
Authors: Zhuo Quanxiu , Guo Xiaobin 
Published: February 2022

Abstract
In this paper, we devised a numerical algorithm for calculating the inverse of trapezoidal fuzzy numbers matrix. By analysing the existence of fuzzy inverse, the sufficient conditions are restricted. Furthermore, through calculating the approximate fuzzy inverse, the algorithm can be widely used in solving fully fuzzy linear system and it is validated by some given examples.
Metamaterials Design Method based on Deep learning Database
Authors: Zhou Xiaoshu , Xiao Qide , Wang Han 
Published: February 2022

Abstract
In recent years, deep learning has risen to the forefront of many fields, overcoming challenges previously considered difficult to solve by traditional methods. In the field of metamaterials, there are significant challenges in the design and optimization of metamaterials, including the need for a large number of labeled data sets and one-to-many mapping when solving inverse problems. Here, we will use deep learning methods to build a metamaterial database to achieve rapid design and analysis methods of metamaterials. These technologies have significantly improved the feasibility of more complex metamaterial designs and provided new metamaterial design and analysis ideas.
Design of Heartbeat Monitoring Based on Serial Port and its Implementation in QNX
Authors: Li Xukan 
Published: February 2022

Abstract
Today, with the rapid development of information technology, the stability of information systems is the guarantee for the normal operation of business systems and data security. Heartbeat monitoring technology enables high system availability and a high degree of system security at a lower cost. In order to ensure the stability of the information system, the heartbeat monitoring technology has been studied. Firstly, the principle of heartbeat monitoring technology is discussed. The basic heartbeat monitoring method is implemented between the main system and the standby system or any two connected systems through the serial port. Then the QNX is used as the technology to implement the carrier to RS-232-C. Finally, for the related modules such as heartbeat sending, heartbeat receiving and processing, the program working flow chart is presented, some examples are given, and interfaces are reserved for function expansion for reference by relevant engineering and technical personnel. In practical applications, based on the actual situation, emergency procedures and recovery procedures can be designed to improve the emergency response capability and reliability of the overall system.
Demand-side Response User Selection Based on Improved BPSO
Authors: Chen Jun , Bu Feifei , Wang Yuanyuan , Bai Hongkun , Hua Yuanpeng , Han Ding , Sun Yi 
Published: February 2022

Abstract
In order to use the demand-side response activities to stabilize the peak load, ensure the balance of power supply and demand, and promote the quality and efficiency of the power grid, this paper constructs the demand-side response user competition models in different stages. The improved BPSO algorithm is used to optimize the subsidy cost weighted model in the saturated user competition model, and the algorithm is implemented automatically based on the blockchain intelligent contract. Simulation and experimental results show that, compared with other user selection schemes, these models can improve the actual user response and reduce the subsidy cost of the demand response centre. It can be seen that in the case of saturated user competition, the improved BPSO algorithm is feasible in the application of demand-side response to user selection and optimization of demand-side management.
Study on Personnel Detection Based on Retinex and YOLOv4 in Building Fire
Authors: Li Wei , Li Sen , Wang Yeheng , Yun Junying 
Published: February 2022

Abstract
When a fire occurs in a building, the internal environment is full of dense smoke, which will greatly hinder the evacuation and rescue of the trapped persons. If the evacuation and rescue are not in time, the life safety of the trapped persons will be seriously threatened. In response to this problem, this paper proposes a method for quickly detecting trapped persons in building fires. This method uses a combination of multi-scale Retinex image sharpening algorithm and YOLOv4 person detection algorithm. First obtain the image information of the fire scene, use the multi-scale Retinex algorithm based on the Gaussian pyramid to perform the sharpening process, and then use the YOLOv4 model to perform the personnel detection on the sharpened fire scene image. The experimental results show that the confidence of image person detection after Retinex sharpening processing has been significantly improved.
Efficient Local Level Set Algorithm Combined with Bidirectional Evolutionary Criterion Using Discrete Variables and its Appliance to Topology and Shape Optimization
Authors: Zhang Wenhui , Liu Jing , Xia Zhenhua , Zhang Yaoting , Yu Niuben 
Published: February 2022

Abstract
Many level set methods (LSMs) have been used for topology and shape optimization. An efficient topology optimization algorithm is proposed by combining a new bi-directional evolutionary criterion (BEC) with the local LSM (LLSM). The BEC is established using multiple discrete variables (DVs) and introduced into the bi-directional evolutionary structural optimization (BESO) method so that the DV-BESO method obtained can be applied to topology optimization. The LLSM is used instead of the global LSM due to its high efficiency. In the LLSM, the computational efficiency can be further improved by solving a distance regularized equation without the re-initialization procedure. Two benchmarks show the high efficiency of this proposed combined algorithm for topology and shape optimization.
Simulation of Automatic Conveying System for Steel Frame of Bridge Box Girder
Authors: Yu Fuhua , Bian Xuhui , Shen Jiandong , Yue Qi , Zhang Ying 
Published: February 2022

Abstract
Aiming at the inefficiency of processing steel frame of the bridge box girder, to improve the automation degree of the production process, the intelligent manufacturing is applied to the automatic conveying system. The configuration control technology is used to simulate the automatic conveying system for the steel frame of bridge box girder. The control layer based on the PLC and the monitoring layer based on the WinCC communicates through TCP-IP protocol. The monitoring layer includes screen configuration, data monitoring, alarm designing, and other functions. Through the system coordination, the simulation of the automatic conveying system for the steel frame of the bridge box girder is carried out.
Development of New Energy Vehicle Teaching System Based on Mixed Reality Technology
Authors: Wu Huibo , Lan Tianwen , Wang Xiaohua 
Published: February 2022

Abstract
There are many high-pressure parts in new energy vehicles, and the structure of the vehicle is basically closed. These bring great trouble to the training and learning of new energy vehicles. With the rapid development of mixed reality and computer control technology, virtual reality teaching technology emerges at the historic moment. But the current system needs to be improved in performance, especially in the combination of virtual and real. This paper developed a new energy vehicle teaching system based on virtual mixed reality (MR) technology. In the system, there are system hardware basics, basic layer, management, system application layer, professional application layer and so on. The system achieves the effect of combining the virtual and the real, and operates the virtual model by Gesture movement. This system is very convenient and practical. Users can teach and train the structure and working principle of new energy vehicle parts, by operating the new energy vehicle model in this system.
Feasibility Analysis of Dispersion Curves in Calculating Equivalent Parameters of Honeycomb Pentamode Metamaterials
Authors: Luo Ziyin , Zhou Qizheng , Guo Peng 
Published: February 2022

Abstract
Honeycomb material is one of the basic structures of two-dimensional pentamode materials. Dispersion curve, as a common method for analyzing crystal properties, is widely used in the study of pentamode materials. It is necessary to study the probability that using dispersion curves to calculate the equivalent parameters of honeycomb materials. In this paper, compared with the improved Gibson formula, the accuracy of the equivalent parameters calculated by dispersion curves of honeycomb pentamode materials with different structures is studied. The study found that the calculation error of dispersion curve for the homogeneous material equivalent parameters is lower than 1%; The error for anisopathic honeycomb pentamode materials is 10% to 20%, and it decreases with the ratio of wall thickness to edge length; Calculating anisotropic honeycomb pentamode material equivalent parameters by dispersion curves is inapplicable. But dispersion curves can be used to predict the degree of anisotropy of honeycomb materials, such as the ratio of volume modulus in the X and Y directions, with less than 5% errors.
Study on Seismic Risk Exposure and Vulnerability of Buildings in Southwest China Based on AI Technology
Authors: Li Changlong , Lyu Hongshan 
Published: February 2022

Abstract
In this paper, we made building taxonomy for Southeastern Tibet in Southwest China and attempted to apply the 3D image pattern recognition technology in UAV aerial image processing and pattern recognition, for the statistics of building types and numbers, and explore more applications of AI technology in geoscience research. We compared our vulnerability models with parts of vulnerability models of buildings in Nepal in the research of Nepal’s seismic hazard and risk assessment. The comparison between our vulnerability models and Nepal ones shows that public and private houses have better seismic resistance than the houses in Nepal.
Green Building Energy Efficiency Evaluation and Optimization
Authors: Wang Weilai , Hu Zhi 
Published: February 2022

Abstract
This paper analyzes the influencing factors of energy saving benefits of green buildings, and summarizes six types of influencing factors of energy saving benefits, including lighting performance and ventilation performance. Through Bayesian network machine learning, the Bayesian network evaluation model of green building energy efficiency is constructed, and the comprehensive evaluation index system of green building energy efficiency is established. Combined with practical case analysis, the core influencing factors with high degree of influence are obtained by Bayesian network reasoning.
Review on Research Progress of MICP Technology
Authors: Cui Meng , Xiong Huihui , Lü Suying 
Published: February 2022

Abstract
MICP technology is a new technology proposed for soil reinforcement research in recent years, which has the advantages of environmental protection and sustainability. Through the review and analysis of domestic and foreign literature, the mechanism of microbial mineralization reaction and the research progress of domestic and foreign scholars were comprehensively summarized. This paper introduces the basic principle of urea hydrolysis in MICP technology, and expounds the control factors of microbial mineralization experiment and the practical application of this technology in engineering. Finally, the future development prospect of MICP technology is forecasted.
A Practical Study of Green Building Energy Efficiency Solutions for Public Building Projects
Authors: Song Yiwen , Chang Cheng 
Published: February 2022

Abstract
Under the background of ecological civilization construction, this article aims at the Qingdao Shooting Sports Center project, with the specific technical scheme, and energy consumption calculation adopted in green construction and energy saving. Combining the theoretical knowledge of green buildings with actual projects, through the energy-saving assessment of the project, the type and quantity of energy consumption of the project are grasped, the energy consumption level of the project is analyzed, and the rationality of the energy utilization of the project and the feasibility of energy-saving measures are evaluated. This article provides some reference data and research for preparing the green and energy-saving design and evaluation report of public building projects.
Experimental Study on the Strength of Coal Gangue Aggregate Concrete with Basalt Fiber
Authors: Yang Guowei , Zha Wenhua 
Published: February 2022

Abstract
In order to study the effect of basalt fiber content, basalt fiber length and coal gangue activation on compressive strength and splitting tensile strength of concrete, 24 groups of orthogonal experiments were designed. The results show that the influence of various factors on the compressive strength and splitting tensile strength of concrete is coal gangue activation > basalt fiber content > basalt fiber length. The activation of coal gangue is conducive to the increase of concrete strength; the influence of fiber content on strength increases first and then decreases; the increase of fiber length is beneficial to compressive strength and unfavorable to splitting tensile strength; the best ratio of engineering practice is fiber content 0.10 %, fiber length 18 mm, activated coal gangue.
Experimental Study on Vibration Absorption Performance of Floating Slabs of Vibration Isolation Pads in Metro Shield Tunnels
Authors: Peng Guangzhao , Fu Kun , Zhang Fengdong , Bai Jian , Zeng Zhiping , Li Zhuang , Yin Huatuo , Huang Zhibin , Tang Qihui 
Published: February 2022

Abstract
The monolithic track bed with isolated damping pad and floating slab is a common design of urban subways in recent years.The type of track bed, urban subway lines usually pass through densely populated areas of the city, and subway trains.In the course of driving, it is inevitable that large track vibration noise will be produced. In order to reduce the impact of track vibration noise on the daily life of surrounding residents, noise reduction measures must be considered during track design. Isolated shock absorber floating board The monolithic track bed is one of them. Compared with the steel spring floating slab monolithic track bed, it has the technical characteristics of “low engineering cost, more convenient construction, and good noise reduction effect”. In order to study its damping effect, we selected two working conditions of straight line and curve for comparison. It can be seen from the comparison results with the ordinary track bed: (1) The acceleration level of the shock-absorbing cushion tunnel wall in the straight section is greater than the ordinary track bed section within 1∼10Hz, and is close to the ordinary track bed section within 12.5∼20Hz, at 25 It is smaller than the section of ordinary track bed within ∼1000Hz. (2) The maximum Z-vibration level measured from the tunnel wall is most suitable for evaluating the seismic source intensity of the subway, and the seismic source intensity of the subway line is 65.69 dB.
Simulation Analysis and Application of Super High-rise Tower Construction Process
Authors: Ou Yazhou , Chen Bao , Jia Hongxue , Yin Guanghua , Cao Jiang 
Published: February 2022

Abstract
Wenzhou Lucheng Square Phase IV project, whose main tower reaching 378.8m high, belongs to the super high-rise building structure. Considering the influence of shrinkage and creep characteristics of concrete on vertical deformation differences of components, Midas Gen was used to simulate and analyze the whole construction process of the main tower. The analysis results of different working conditions are compared, the rationality of the construction scheme is checked and a general conclusion is drawn.
Study on Treatment Technology of Rock Slope Landslide of an Expressway in Guizhou
Authors: Xiao Yuanlun , Li Shengting 
Published: February 2022

Abstract
A highway deep cutting slope is in Guizhou province, with a total length of about 258m and a maximum excavation height of 49.96m. after continuous heavy rainfall, groundwater seeped out on the slope, and cracks appeared. Based on calculation and engineering experience, the slope was reinforced by anchor ropes and anti-slide piles. After the treatment, the deformation of the slope was monitored by GNSS displacement monitors, and the results of displacement monitoring show that the three monitoring points No.1, No.2 and No.3 are relatively stable, and the daily accumulated horizontal displacement of monitoring point No.4 is relatively large, reaching 400mm on March 17th, but the change rate of displacement tends to slow down gradually.
Numerical Analyses of Liquid-Core Fiber Optic SPR Sensor with Nano-Porous Sio2 as Inner Coating
Authors: Meng Jinwei , Luo Wei , Yi Duo , Li Xuejin , Hong Xueming 
Published: February 2022

Abstract
In this paper, a novel type of liquid-core fiber optic SPR sensor with a nano-porous SiO2 inner coating is proposed. The nano-porous SiO2 is deposited on the inner wall of the quartz tube. Due to the flexible and adjustable refractive index of the deposited material, the RI detection range of the sensor is expanded. The simulation results show that the proposed sensor owns good responses in both low and high refractive index regions, with the corresponding RI sensitivities of 1043.71 nm/RIU and 1234.86 nm/RIU respectively, while the FWHM is only about 20 nm. There are some potential applications for the proposed sensor in environmental monitoring, biochemical detection, food safety etc.
UAV Base Station Site Selection Based on Spiral Algorithm in Complex Environment
Authors: Bian Qiang , Xu Donghui , Kang Kai , Liu Jiangliang 
Published: February 2022

Abstract
The Wireless broadband communication system is the wireless communication hub and the main means of communication under the background of actual combat.In complex environments such as terrain impact and external interference strikes, the on-board base station of wireless broadband communication system may not work properly. As an air base station, UAV ensures the continuity and reliability of communication.Aiming at the problem of UAV base station location in complex environment, this paper proposes a UAV base station location method based on spiral algorithm.Firstly, this paper establishes the air-to-ground propagation model based on the characteristics of the actual geographical environment.Secondly, the coverage capability of the UAV base station is obtained by link budget and the optimal height analysis of the UAV.Finally, the location planning of the U AV base station is completed by the spiral algorithm. The simulation results show that the spiral algorithm needs fewer UAV base stations than the k-means algorithm, which can reduce the cost of the network. The method proposed in this paper can select the appropriate site for the base station of the UAV under the complex environment.
An Event Analysis of Circuit Breaker Tripping Under Equipotential Operation Mode
Authors: Zhang Qionghua , Long Quanyu 
Published: February 2022

Abstract
Under the special operation mode of bypass generation equipotential supply, the equipment joint just repaired and treated forms a small impedance due to excessive antifouling and anti-oxidant. Because both ends of the impedance are equipotential, it cannot be broken down, resulting in the tripping event of standby protection action of the equal bypass circuit breaker.
An Infrared Image Based Asphalt Temperature Separation Evaluation Model
Authors: Li Jun , Peng Ting , Cheng Long , Wang Xiaoling 
Published: February 2022

Abstract
This article points out the shortcomings of the NACT assessment index based on infrared images. In order to develop a new method for evaluating temperature separation, this article proposes two influencing factors, namely, a different temperature interval and a low temperature zone based on NACT temperature difference. For the temperature interval, three kinds of asphalt mixtures, AC-13, AC-16 and AC-20, are used to study the change of void ratio at different molding temperatures and obtain the temperature separation evaluation method based on the difference of void ratio in the internal test and obtain the TIC (Temperature Influence Coefficient) for different temperature intervals by conversion; for the low temperature zone, the influence coefficient δ for the low temperature zone is obtained by simulation analysis. By combining TIC and δ, TSSI (Temperature Separation Status Index) is obtained.
Mechanical properties characterization of Ti6Al4V for artificial hip joint materials prepared by investment casting
Authors: Ismail R , Bayuseno A P , Fitriyana D F , Taqriban R B , Muhamadin R C , Al Hakim R A N , Siregar J P 
Published: February 2022

Abstract
The Investment Casting (IC) process is a type of casting that can produce the suitable shape and size of components by minimizing porosity and defects. However, research on ICs for the manufacture of artificial hip joints made from Ti6Al4V is still lacking. Therefore, the purpose of this study is to determine the mechanical properties of an artificial hip joint made from Ti6Al4V casted using the investment casting method. The stages of the investment casting process used in this research are wax injection, ejection of wax pattern, tree assembly, slurry coating, final sand mould, dewaxing, preheating, pouring, and final product. The characterization of IC products was carried out by tensile test, hardness test, and impact test. The yield strength, Ultimate Tensile Strength, Elongation (%), Hardness (HRC) and Impact Strength obtained in this study were 636 MPa, 687 MPa, 17%, 29 HRC, and 5.3 J, respectively. The lower oxygen content in Ti Alloy after IC resulted in a decrease in yield strength, ultimate tensile strength, hardness, and impact energy. However, the low oxygen content in Ti Alloy after IC resulted in increased ductility (% elongation).