Advances in Simulation and Process Modelling

A[aut]Bai, Shan decision support system that performs a comprehensive analysis on risks of the COVID-19 pandemic and its subsequent medium- and long-term impacts is highly desirable, especially in view of the still ongoing pandemic in the world. This paper focuses on the modeling process of such a decision support system. The modeling process includes the following steps: generating appropriate strategies that suit the specific situation concerned, where each strategy is composed of measures and each measure consists of a static (textual) part relating to the contexts abstracted from existing literature via techniques inspired by natural language processing and a dynamic part adapted by using scenario planning method and agent-based simulation; generating utility-based recommender based on soft systems methodology and recommending the Top-N strategies to the group of stakeholders based on the scores of the strategies using multiple-criteria decision analysis method. The proposed model is highly flexible in that it recommends appropriate strategies in respect of the various scenarios concerned and may thus be applied to various types of risk management.

In[aut]Ma, Chi this[aut]Wang, Shaofan paper[aut]Lu, Shengliang, time[aut]Han, Guojing series of numerical correlations and morphological similarities are analyzed. It is proposed to combine the correlation coefficient with a time-weighted dynamic time warping (DTW) distance to emphasize timeliness as a stock linkage numerical formula. Therefore, the problem of finding the connection relationship between stocks can be converted into a numerical representation problem of stock linkage, and a stock linkage prediction optimized model based on long short-term memory (LSTM) can be established. At the same time, in order to improve the prediction performance of the LSTM model for the time series of stock interconnection values, wavelet transform and denoising autoencoder are used to denoise and reconstruct the input samples, thereby achieving more accurate prediction and analysis of stock linkage.

Nowadays[aut]Deng, Yuanyuan, the[aut]Gao, Zhijun globally[aut]Wang, Zhuhan integrated circuit industry is developing rapidly. With the progress of information technology, an integrated circuit has become a new pillar industry in China. EDA technique is the development of modern electronic design, which must be grasped by a modern electronic engineer. More and more electronic information courses choose EDA simulation design as the course content. Numerical analysis theory and computational geometry are the most widely used theoretical and technical methods among various EDA technology tools. In this paper, the numerical analysis method is applied to the teaching research of EDA design method. By applying the numerical calculation teaching content into the EDA simulation design teaching content, students’ ideas are broadened, their innovation ability will be improved, and China’s talent building process of in the integrated circuit industry can be completed. It will also cultivate students’ practical ability and train them to have a strong level of innovation and scientific research.

It[aut]Cao, Jianzhao was[aut]Ma, Ruwei proposed[aut]Pang, Renning, in[aut]Qi, Yuanwei this paper, an algorithm based on machine vision to deal with the problems of low efficiency and large error in profile detection of industrial steel plates. The image filtering operation is used to remove the noise of the steel plate picture, and a method for judging the image filtering effect is proposed. And an image segmentation method combining OTSU and Canny algorithm is designed to achieve dynamic segmentation of steel plate images to obtain the best segmentation effect. In order to fit steel plates with head and tail deformation or camber, a sub-pixel edge fitting method based on cubic B-spline interpolation was proposed to obtain the sub-pixel coordinates of steel plate contour, which provides data basis for crop shearing. The experimental results show that this method has high detection speed and precision and can meet the actual production needs.

Efficient[aut]Gao, Zhijun utilization[aut]Wang, Xin and energy saving of spectrum is a crucial technology in 5G, and spectrum sensing is an important foundation and core of efficient utilization of spectrum resources. At present, good results have been achieved for spectrum sensing in Gaussian channels, but in dynamic fading channels, due to fading and multi-path transmission factors, the spectrum sensing performance is poor. To solve this problem, this paper first proposes a perceptive system model under dynamic fading channel, and on the basis of this model, a spectral sensing algorithm based on the random forest is proposed. The algorithm extracts the fading amplitude gain, the energy value of the received signal, and the characteristic parameters of the signal cycle spectrum in the scene of the dynamic fading channel as the sample parameters to construct the random forest and then senses and classifies the constructed random forest signals to determine the state of the channel occupancy.

With[aut]Zhang, Yi the[aut]Liu, Tianqi development[aut]Wang, Chi of[aut]Xie, Chenlei urbanization and the rise of commercial center, the complex internal structure of public commercial buildings and the high density of people make the evacuation of people more aimless, and accurate path planning plays an important role in escape and evacuation. Dijkstra algorithm can only satisfy the single point to single point shortest path planning situation and cannot actually solve the shortest path planning problem with many source points and sink points. Thus, this paper studies the shortest path of escape with multi-source/multi-sink, and proposes an improved Dijkstra algorithm, which can solve the shortest path planning task of escape from multi-source point to multi-sink point and has fast and efficient characteristics of the original Dijkstra algorithm, thus improving the escape efficiency of personnel. In the end, this paper simulates the improved algorithm using the data of different distribution density of different people. The experimental results show that the proposed algorithm is more practical for the shortest path planning from multi-source to multi-sink under the condition of relatively dispersed personnel.

Airborne[aut]Liu, Maohua LiDAR[aut]Li, Manwen is[aut]Liang, Jiahua a new technology that can quickly obtain high-precision 3D information on the ground and ground objects. The accurate 3D spatial coordinate information and DSM data it obtains provide a new and effective observation method for the establishment of a smart city 3D model. How to obtain useful terrain information and feature information, and to study the application of point clouds in the construction of smart cities is a problem we need to solve. According to these problems, we propose a method for building extraction and 3D reconstruction using LiDAR point clouds. First, we process the airborne laser point cloud and then fit the roof plane by clustering the roof plane point cloud, and finally determine the outer boundary of the roof and the boundary of each plane, and use the boundary to obtain the three-dimensional coordinates of each corner of the roof to reconstruct three-dimensional model of the building. In addition, it explores the design methods and operations of different building 3D models and compares the effects of the two modeling methods.

Based[aut]Yang, Xudong on[aut]Gu, Fan the[aut]Zhang, Yuyu constitutive[aut]Jiang, Yuhan relation of shape memory alloy (SMA) proposed by Auricchio and Taylor, a numerical simulation study was carried out on the connection performance and the functional failure mechanism of SMA pipe coupling, and the effect of interference magnitude, the wall thickness of SMA connector on the stress distribution and tensile strength was investigated. The simulation result shows that with the increase of interference magnitude, the Mises stress of the SMA pipe coupling increases accordingly, as well as the ultimate pullout load increases. With the increase of the wall thickness of SMA connector, the Mises stress of the SMA connector decreases, whereas the Mises stress of connected steel pipe increases. Furthermore, it is suggested that the gradual internal chamfer should be machined at both ends of SMA connector to alleviate the stress concentration. To improve the connection performance and the tensile strength of SMA pipe coupling, it should take into consideration concurrently to the increase of the wall thickness and the length of the SMA connector to avoid the yield failure of steel pipe.

Since[aut]Li, Peng the[aut]Qiao, Tianling traditional[aut]Guang, Yongxing Shingling[aut]Zhang, Lan algorithm removes duplicate text in Chinese web pages, the amount of data that needs to be processed is particularly large, the efficiency of the algorithm is low. In this paper, a new text duplicate checking algorithm is constructed by changing the traditional Shingling algorithm. The meaningless dummy words are deleted in the text. Then the text is segmented according to semantics. Finally, the text similarity calculation formula is used to calculate the text similarity. The above work focuses on removing meaningless words from the text. In this way, the calculation rate of text similarity can be improved, and the accuracy of the text query and the complete query rate can be improved. The simulation results show that the algorithm is simple and feasible and has good text similarity calculation effect and certain advantages.

In[aut]Wang, Rui this[aut]Li, Yahui paper, a Kalman consensus filtering algorithm is proposed based on the status updates scheduling scheme (US-KCF) to estimate the concentrations of pollutants in the cabin. By introducing the concept of age of information (AoI), the freshness of status updates and the average AoI of wireless sensor network (WSN) are measured. Under the condition of network energy constraint, this paper designed a status updates scheduling scheme to minimize the average AoI of the network by selecting the status updates that need to be transmitted on the cluster head which can improve the convergence speed and energy saving performance of KCF algorithm. Simulation results show that compared with other consensus algorithms, this algorithm can get the estimation value of the target state more quickly and capable of reducing the network energy consumption effectively.

The[aut]Ren, Shuwen reinforcement[aut]Chen, Shizhong framework[aut]Liu, Zijin is[aut]Xia, Zhongxian welded[aut]Wang, Yonghua by[aut]Li, Songhua the closed stirrup and the main reinforcement. The welding sequence of different welding points on the same stirrup has an important impact on the welding quality of the reinforcement framework. In order to optimize the welding sequence of reinforcement framework, the three-dimensional finite element model of reinforcement framework of six main reinforcement is established to simulate the maximum stress of reinforcement skeleton under three different welding schemes (Scheme 1: welding the upper and lower four welding points first and then welding the middle two welding points; Scheme 2: welding the middle two welding points first and then welding the upper and lower four welding points; Scheme 3: simultaneous welding of six welding points) Residual stress and strain are analyzed and compared to select the best welding scheme. The results show that the residual stress mainly occurs at the solder joint after welding, and the maximum stress value of the solder joint closest to the clamping end is 216.20 MPa. The thermal deformation caused by welding has little effect on the overall size. Compared with Scheme 1 and Scheme 3, the reinforcement framework welded under Scheme 2 has better welding quality.

Solenoid[aut]Yao, Fang-Hua active[aut]Fan, Rang-Lin control[aut]Qi, Song-Qiang mount is excellent in vibration isolation, but the complex nonlinear relationship between electromagnetic force and exciting voltage/current makes it difficult to be controlled. The nonlinearity in solenoid actuator was studied by combining methods of theory, simulation, and experiment. Two theoretical equations for electromagnetic suction on voltage/current were obtained, then the equation with voltage was modified through electromagnetic simulation, and the test data were used to get the fitted parameters in equation with current. The results of simulation and theoretical calculation are consistent, and the fitted curve is close to the test, indicating the two equations are reliable. This reveals the nonlinear relationship between solenoid actuator and excitation and promotes follow-up control research.

During[aut]Li, Xuefeng the[aut]Song, Lijuan 13th Five Year Plan period, China's economic development has entered a new stage. “Green,” “low carbon,” and “ecology” in the construction field have become the global development trend. Based on the development status of green building economy in China, this paper expounds the meaning of green building economy and analyzes the necessity of its development. Then, combined with the current situation of China and developed countries, this paper summarizes and analyzes the shortcomings of green building economic development in China. Finally, through the method of investigation and literature review, it gives the opinions of sustainable development of green building economy. This paper has practical significance.

Mixed-flow[aut]Ge, Qi production[aut]Shao, Qianqian technology[aut]Zhang, Yunfeng is[aut]Zhang, Siqi widely used by automobile manufacturers to cope with the fierce global competition. In order to improve the production efficiency of the mixed-flow assembly line in the assembly workshop of an automobile production company, the relevant parameters are determined. The 0–1 integer programming model with the smallest number as the objective function, linear interactive and general optimizer (LINGO), is used to deal with the model and verify the effect of the optimized balance scheme through FLEXSIM simulation software. The simulation results show that the rearrangement of each station makes the mixed-flow production line more stably, and the production efficiency is greatly improved, which provides a corresponding improvement plan for the production decision of the enterprise.

Aiming[aut]Sun, Liangliang at[aut]Lu, Tianyi the[aut]Sha, Shuya problem[aut]Zhu, Wanying of[aut]Qu, Qiuxia uncertain[aut]Yuan, Baolong scheduling of molten steel hit rate in the steel refining process, taking into account the multi-stage, multi-equipment, and multi-constrained production process conditions of refining production and the process of refining process due to the uncertainty of molten steel hit rate during the refining process, in order to obtain a scientific and feasible approximate optimal scheduling plan in a short period of time, the system state and system state transfer rules of the steel production process are defined, and the random evolution scheduling optimization system model of steel production refining based on the discrete-time Markov chain is established. At the same time, in the refining process scheduling optimization problem, the complexity of the solution will increase exponentially with the increase of the number of reprocessing processes, and a stochastic dynamic programming algorithm based on heuristic simulation strategy and improved Q learning is designed to solve the problem. Aiming at the uncertain scheduling problem of molten steel hit rate under different process production paths, simulation experiments using actual production data of a large domestic steel mill verify the effectiveness of the proposed model and algorithm.

Building[aut]Zhao, Shengkai Information[aut]Sun, Haiyi Modeling[aut]Huang, Zhe (BIM)[aut]Li, Ning, as[aut]Guo, Mingze one[aut]Li, Xiaohu of the emerging technologies in the development of the construction industry, is tried to be applied in the operation and maintenance of projects. The project operation and maintenance based on BIM technology is limited by various obstacles and has not been widely promoted. By reading relevant literature and combining with expert opinions, this paper has sorted out 13 independent influencing factors from five dimensions of industry, economy, policy, technology, and law. In this study, questionnaire survey and key interview were used to obtain preliminary data. Principal component analysis has been used to reduce the dimension of obstacle factors, and social network has been used to further analyze the centrality of obstacle factors. The data analysis results show that the deep influencing factors that hinder the operation and maintenance of BIM are insufficient technology and lack of policies, while “supervision intensity,” “scientific research support,” “compatibility,” and “integrity” are important factors that hinder the development of BIM operation and maintenance. The results of this study can provide effective reference for the promotion and development of project operation and maintenance based on BIM technology, help improve the maintenance level of building equipment, and promote the efficient and sustainable operation of intelligent buildings.

In[aut]Shao, Qianqian most[aut]Zhang, Xiaojing of[aut]Zhang, Yunfeng the[aut]Zhang, Siqi leading research on pork supply chain (PSC) analysis, only a certain part of PSC is studied qualitatively or quantitatively. While they analyze the transmission of price in PSC, connection between price and operation of PSC has not been established. In this paper, system dynamics (SD) and supply chain theory are used to analyze the system behavior of PSC. The model takes into account the natural elimination of slaughtered pigs during feeding and the perishable nature of pork as fresh food. Based on the analysis of the logical relationship and data transfer between the links of PSC, the SD model of Shenyang pork supply chain system is formulated, and the corresponding flow diagram and the equations expressing the relationship between variables are developed. The simulation experiments are designed with step demand as the boundary condition of the system. The fluctuation trend of pork price in Shenyang is analyzed, and the robustness of Shenyang PSC is further discussed.

To[aut]Li, Songhua solve[aut]Wang, Kechong the[aut]Sun, Jian problems of low efficiency, high cost, and high difficulty of full-ceramic bearing ring grinding machining, the effect of process parameters such as grinding wheel grain size, grinding wheel speed, workpiece speed, grinding wheel feed rate, and Z-axis oscillation rate on the value of ceramic ring surface roughness Ra was studied by MK2710 NC grinding machine. The results show that grinding parameters have different influences on the value of Ra. The value of ceramic ring surface roughness Ra decreases with the grain size becoming smaller. As the grinding wheel speed and workpiece speed increases, the value of Ra decreases. The value of ceramic ring surface roughness Ra increases with the increase of grinding wheel feed rate and Z-axis oscillation rate. The determination of the best grinding process will provide the basis for full-ceramic bearing ring precision machining.

Traffic[aut]Zhang, Lei impact[aut]Bai, Zhu assessment is to evaluate the potential effects of a particular development on the traffic network in the affected area. It aims to test the interaction degree of various traffic and discuss whether the new contradictions and the negative effect of traffic are brought. This article first determined the basic parameters of the traffic impact assessment. After determining the study area, the traffic flow of each intersection within the scope of the study was counted, and the specific conditions of the roads involved were investigated. On the basis of the data obtained from the survey, TransCAD software was used in the estimation of The OD matrix to predict the background traffic, and then superimposed the traffic volume to obtain the traffic assignment result. Finally, a traffic impact assessment was carried out according to the relevant regulations, and proposed relevant improvement measures for each specific problem.

In[aut]Xing, Yan order[aut]Xing, Yingwen to[aut]Liu, Weidong improve[aut]Li, Zongze the[aut]Fan, Shanshan efficiency of an urban combined transportation travel system and solve the problem of urban residents’ “last mile” travel, this paper used the analytic hierarchy process to study the factors that affect travelers’ choice of bicycle-sharing and urban public transportation combined travel systems. We chose twelve factors that may have an impact on travelers’ choice behaviors based on the past experience. Taking into account of three characteristics of personal attributes, travel attributes and transfer traffic attributes. We sorted the twelve possible influencing factors according to the three characteristics to conduct an in-depth analysis based on the ranking results obtained. It is found that transfer characteristics have the greatest impact on travelers’ travel choice. Based on the above research, we provided suggestions on the configuration of combined transportation and travel systems to improve the attractiveness of combined travel system and increase the probability of travelers choosing combined travel system. The research results have guiding significance for guiding urban residents to choose travel modes and can improve the current status of urban traffic congestion.

Displaced left-turn (DLT) intersections, which[aut]Zheng, Yingcheng solve[aut]Shao, Qianqian the[aut]Zhang, Yunfeng conflict[aut]Zhang, Siqi between left-turn traffic and opposing-through traffic are currently the most efficient innovative intersection design. There are no T-shaped DLT intersections in use due to few researches have proposed the implementation of DLT design at T intersections. This paper proposes an improved design method for DLT intersections suitable for two types of intersections, which considering the demand of pedestrian and non-motorized vehicles crossing the street, the phase scheme of the improved DLT, the length of the storage section of the left-turn vehicle and lane-changing length is designed. The operational performance of two types of the improved DLT intersection is validated using the VISSIM simulation. Besides, a sensitivity analysis is demonstrated to compare two types of DLT with conventional intersections under different left-turn ratios. The results demonstrate the effectiveness of the proposed method and provide a basis for the design of DLT intersections geometric layout and signal timings.

The[aut]Peng, Xuezhao multiple[aut]Guan, Feng traveling[aut]Wang, Zhongpu salesman[aut]Gao, Shushida problem (mTSP) is an obviously NP-Hard problems in the optimization of complex planning. By adding much more conditions and meanings to the objective function of the mTSP, the vehicle routing problem (VRP) and trajectory optimization problem of the drones can be further evolved. This paper focuses on the multi-UAV route planning problem which is one of the typical mTSP. But traditional algorithms include genetic algorithm and particle swarm optimization are premature in varying degrees and easy to fall into local optimization. Therefore, this paper adds the crossover operator and mutate operator in the genetic algorithm to the particle swarm optimization, and proposes a hybrid particle swarm optimization to solve the multi-UAV route planning problem. The algorithm can make the particles cross the optimal value, and the particles can mutate themselves to strengthen the interchange between the particles. So it can enrich the diversity of the population. Meanwhile, it can improve the global optimality of the algorithm. Finally, it proves that the hybrid particle swarm optimization has better performance when compared with the simulation results of genetic algorithm.

At[aut]Guan, Feng present[aut]Cao, Yi, the[aut]Peng, Xuezhao global[aut]Wang, Yongbao climate continues to warm. The Arctic shipping routes have become a reality. The opening of the Arctic route will greatly reduce the sea distance between Asia-Europe and Asia-America. It will effectively reduce the shipping cost and achieve the goal of mutually promoting regional economic development. The routes have quite high economic benefit value for all users. Take Dalian port to Rotterdam port for example. Calculate route costs and benefits. Collect relevant data through the SP survey. The discrete selection model—the Logit model is established. The transport sharing rate between the Arctic route and the traditional route is obtained. The Monte Carlo method was used to simulate the data, and the decision probability was obtained, and the error analysis was carried out with the Logit model results. It is believed that Arctic routes will increase their share of the freight market.

With[aut]Yang, Jingxuan theBao, Longsheng development[aut]Xu, Qicheng of[aut]Liu, Junjie the[aut]Wang, Yang civil aviation market, how to improve the operating efficiency of airport taxis while ensuring a balanced income for drivers has become an important task. This paper recommends using a hybrid strategy model for analysis. It is analyzed, in this paper, the factors influencing the driver’s decisions to obtain the qualitative relationship between the driver’s income and costs such as time cost and no-load cost. We simplified the problems that are a game between driver groups whether or not to wait to establish a hybrid strategy model and to provide references in the selection of the two schemes for drivers. A scheme to give priority to short-distance passenger-carrying drivers is proposed. The two sides of the game are re-determined as short-distance passenger-carrying drivers and long-distance passenger-carrying drivers and income equilibrium of both parties are obtained. The results showed that under the new scheme, both parties have equal expectations of income so the new scheme is feasible.

A[aut]Dai, Guanghui dynamic[aut]Shao, Qianqian route[aut]Zhang, Yunfeng optimization[aut]Zhang, Siqi scheme based on short-term traffic flow prediction is designed. The overall idea of this paper is to use the real-time information of each section of the urban road communication network to predict the short-term traffic speed of the road in the next 5 min, in order to reflect the changes of the road traffic state of each section of the urban road traffic network. Then, the speed prediction information of each section in the urban road traffic network is converted into the estimated average travel time of each section by using the speed-time conversion formula, and then the road weight of each section in the urban road traffic network is set. Finally, the optimal route at the current time is calculated by using the improved algorithm based on the traditional Dijkstra algorithm. Before the traffic participant arrives at the destination, the scheme will cycle through the short-term prediction and route optimization of the traffic flow until the traffic participant arrives at the destination. And then achieve the balance of traffic conditions of various sections in the urban road traffic network, improve the situation of urban road traffic congestion, and avoid the emergence of bad road traffic conditions such as “navigation congestion”.

In[aut]Chen, Yifan this[aut]Qiao, Feng paper[aut]Guo, Lingzhong, an[aut]Liu, Tao optimization algorithm is presented to deal with the issue of traffic signal timing in an isolated intersection in rush hour aiming at reducing traffic congestion. It selects the traffic capacity, number of stops, and delay time as the objective of the optimization, and the genetic algorithm (GA) is integrated with the particle swarm optimization (PSO) algorithm to obtain optimized traffic signal timing plan to upgrade the performance of intersection with faster convergence and higher accuracy. A numerical simulation study is conducted on MATLAB as a case study with a genetic algorithm particle swarm optimization (GAPSO), and the simulation results show that the proposed GAPSO algorithm outperforms the conventional PSO algorithms. In addition, with the presented isolated intersection multi-objective optimization model, intersection capacity is improved effectively.

In[aut]Liu, Tao this[aut]Qiao, Feng paper[aut]Guo, Lingzhong, multi-objective[aut]Chen, Yifan optimization is used to solve the signal synchronization problem in arterial traffic roads, where a traffic dispersion module is introduced to further expand the solution space. By incorporating the models of delay time, queue length and stop times into the optimization, a first model called M1 is established. In the second model M2, the free flow speed assumption is replaced by a traffic dispersion module for better estimating the link travel time. A simulation study is then carried out on an arterial road, and the results show that the proposed strategy improves the performance of the traffic system compared to the current timing scheme and M2 has the best performance among all solutions in this paper, and the delay is reduced for about 24%.

The [aut]Wang, Bing Bohai[aut]Liu, Fei Economic[aut]Li, Yu Peng Rim is a very important political and economic area, but Bohai Strait is a bottleneck and hinders this region’s development. This paper studied the influence of the Bohai Strait tunnel on transferred traffic volume of Bohai Economic Rim. The influencing parameters included the network flow assignment, cargo volume, transferred traffic volume and tunnel toll. The results indicated that the Bohai Strait tunnel can undertake large proportion of traffic volume and attract vast cargo volume. Large cargo volume is transferred to the routes of direct transportation and undersea tunnel, which relieves traffic congestion of Circum-Bohai-Sea region. Cargo volume in undersea tunnel is sensitive to the tunnel toll. When tunnel toll is larger than the critical value, there is no advantage for undersea tunnel, and the tunnel toll should be taken into full consideration.

Many[aut]Lu, Zhengran old[aut]Guo, Chao concrete-filled[aut]Li, Guochang steel tube (CFST) arch bridges use consisted of ordinary concrete and spiral-welded steel tubes. However, low strength of spiral-welded seams (SWS) and cap gaps of concrete due to fluidity composed composite defects in CFST arch bridges. In the current work, a finite element analysis has been performed using ultrasonic scanning field tests on the bearing capacity of a serviced CFST arch bridge rib with a cap gap and reduced SWS strength exposed to a weak eccentric axial compression. The nonlinear behaviors of different components and composite defect influence on CFST performance were also studied. Composite defect influences on the bearing capacity of CFSTs were also experimentally studied. This research proposed a theoretical analysis method for the maintenance and restoration strategy of CFST arch bridges.

In[aut]Li, Ziyang this[aut]Yang, Lijian paper[aut]Wu, Zhengtian, it[aut]Jiang, Baoping is[aut]Fu, Baochuan developed a control strategy based on sliding mode scheme to deal with the issue of variable air volume system (VAV) with the characteristics of multiple-input and multiple-output and strong nonlinearity. Besides, fuzzy control is employed to suppress chattering caused by sliding mode control. The proposed control strategy overcomes the limitations of traditional control methods in this kind of systems.

The[aut]Wu, Nana composition[aut]He, Yang of[aut]Liu, Qiang the[aut]Tan, Youchen cutting[aut]Zhang, Licheng fluid[aut]Huang, Na wastewater[aut]Gan, Yulin is complex, the chromaticity is high, the liquid is grayish white, and the visibility is poor. In this research work, it used a multiphase Fenton system composed of catalysts CuO/CeO2 and H2O2 to treat the organic wastewater chromaticity, and various influencing factors were studied. The optimal conditions of the experiment would be: The dosage of the catalyst was 1.6 g/L, the dosage of H2O2 was 0.5 mol/L, the reaction time was 180 min, the initial pH was 8, and the reaction temperature was 25 °C. At this time, the removal efficiency of chromaticity could reach 70%.

Performances[aut]Zhang, Qiang of[aut]Ma, Yue the[aut]Feng, Jin steel[aut]Wang, Zhanfei ring restrainer (SRR) as a typical steel structural component can be impaired due to a presence of initial geometrical defects or metallic corrosion. In this paper, finite element (FE) models of the SRRs with a sectional defect were optimized, and then a convenient and effective method was proposed to establish FE models. By comparing the force–displacement, stress distribution, stress triaxialities and analysis duration, it is found that analytical results of optimized models are good agreement with analytical results of models with solid elements, and meanwhile, optimized models present the higher calculation efficiency. The monotonic loading tests of SRRs were conducted to further verify the effectiveness of the optimized models. The optimized method of the FE model was proposed, and it can provide a reference for the research of related topics. The experimental results also show that the proposed method can obtain accurate analytical results in a relatively short time.

BasedLi, Tao onCheng, Lei theLi, Huanlin RoboMasterWu, Yanjie AI ChallengeLi, Guang, a solution is proposed to use robots to replace epidemic prevention personnel to perform tasks. The epidemic prevention robots are designed for schools, office buildings and other public places to complete the monitoring of the body temperature of the entering personnel and disinfect the environment, etc. The robot designed in this study can go through deep learning to allow the body temperature of the entering person to be more accurately measured. The study introduces the working principle of the intelligent anti-epidemic disinfection robot and mainly explains the control of the gimbal to spray disinfectant and the autonomous path planning of the robot. The simulation experiment results show that these anti-epidemic robots can effectively complete their tasks. This has laid a good foundation for the next step of research on the epidemic prevention robot system.

Based[aut]Yang, Xudong on[aut]Gu, Fan the[aut]Liu, Liqiang sequential[aut]Li, Qinghe coupling method and the temperature rise curve according to ISO-834, the ABAQUS numerical models of grout sleeve splicing joint was established. At a different fire exposure time, the temperature field and ultimate tensile strength of splicing joint were numerically analyzed. Meanwhile, by means of the stress distribution analysis of grouting material, the failure mechanism of splicing joint was put forward. Numerical simulation result shows that under the action of ultimate tensile load, the Mises stress of rebar decreases gradually along axial direction from uploaded end to non-loaded end, the Mises stress of sleeve increases gradually along axial direction from sleeve end to middle cross section, and the stress distribution of grouting material is relatively uniform. Furthermore, with the increase of fire exposure time, the stress state of grouting material changes from trip-direction compressive state to trip-direction tensile state gradually, which leads to the ultimate tensile load of grout sleeve splicing joint decreases.

The[aut]Yang, Xudong seismic[aut]Gu, Fan performance[aut]Li, Qinghe of[aut]Liu, Liqiang grout sleeve splicing joint was investigated in this paper. Under the action of reversed cyclic loading, the numerical model of grout sleeve splicing joint was developed and was evaluated in terms of the variation of stress distribution, failure process, hysteresis loop, and energy dissipation. Numerical simulation result shows that the seismic performance of grout sleeve splicing joint mainly depends on the stress state of grouting material. In the first two loading cycles, the mechanical interaction with uneven distribution is the main load transmission mechanism from rebar to sleeve, and the fracture damage in grouting material near the end of sleeve is the main mode of energy dissipation. Between the second and the seventh loading cycles, through the stress redistribution, the grouting material in the area far from the end of sleeve gradually undertakes the energy dissipation function by means of fracture damage, and the obvious oblique compressive zone in grouting material is formed, which is the force transmission path from rebar to sleeve. Meanwhile, it decreases the elastic modulus of entire grouting material to a stable value.

In[aut]Sun, Jun order[aut]Li, Donghua to[aut]Lv, Lianjie detect gait by the elderly themselves at home and apply gait rules on pension industry, we designed experiments and used inertia motion capture device, Perception Neuron Pro, to capture motion data. In this paper, it tested the subject by Functional Ambulation Performance criterion, CALC data, and BVH were used data to increase the data extraction speed. Thirdly, we designed the process of extracting gait parameters, and it investigated the law of lower limb movement and the correlation between step length and lower limb movement. In this way, the elderly can know their physical condition and changes exactly. Accordingly, the elderly can take appropriate countermeasures timely.

In[aut]Liu, Jian this[aut]Ning, Shuyan paper[aut]Wang, Sanmu, a[aut]Yi, Jiarui novel[aut]Zhao, Mingrui classification algorithm combined convolutional neural network with support vector machine (CNN + SVM) is proposed for classifying abnormal audio indoors to solve the emerging problems, for which video surveillance may have obstacles, blind spots and therefore cannot protect the privacy under the scenarios. First of all, in the experiments, the quality of the audio signal is improved by pre-emphasis, framing, and windowing methods. Secondly, to obtain sufficient audio information, Mel frequency cepstral coefficient is selected as a parameter for feature extraction. Lastly, multilayer perceptron (MLP), convolutional neural network (CNN), support vector machine (SVM), and CNN + SVM are used to classify eight types of audio signals according to the complexities of the indoor environment. The result of the proposed experiments indicates that the CNN + SVM combination algorithm exhibits a higher accuracy rate for the classification of audio compared to that of the traditional single classification algorithm. It outperforms other methods for indoor abnormal audio classification in terms of applicability.

Computational Fluid Dynamics (CFD) has[aut]Cao, Zhenqiang become[aut]Niu, Tong one[aut]Sun, Haiyi of[aut]Lu, Xia the important methods of indoor environmental analysis. Because the indoor environment of the building has the characteristics of large space and complex structure, the calculation amount of directly using CFD to simulate the indoor temperature distribution is so huge that the simulation efficiency is too low for practical application. Based on the shortcomings of the existing building environment simulation methods, Solidworks Flow Simulation and MATLAB are used to carry out research on indoor temperature distribution simulation methods. The overall treatment is equivalent to a constant heat source, which simplifies the heat dissipation model and avoids simulating complex flow patterns. Compared with traditional simulation methods, it can greatly improve simulation efficiency and model solving speed while ensuring simulation accuracy. The overall method is well supported by the simulation results.

In[aut]Zhuang, Qiuyu view[aut]Liu, Meiju of the problem that there is no accurate optimal maintenance cycle for relay protection device, this paper is based on the Weibull distribution model. We firstly analyze the maintenance cycle data, assume and establish a distribution model, use the least square method combined with a genetic algorithm to estimate the parameters of the Weibull distribution. Then, we use MATLAB to determine the device failure rate function. Finally, we use the fuzzy decision method to get the optimal maintenance cycle for the devices. According to the optimal maintenance cycle, we can develop more appropriate state maintenance strategy and effectively support the state maintenance work.

The[aut]Sun, Wei mortise[aut]Yang, Junshan and[aut]Li, Bing tenon (MT) joint which proposed in the early research works of authors of this article solves the difficulties in the construction of concrete-filled double-skin steel tubular (CFDST) columns effectively. The CFDST columns and steel beams constrained by MT joints can form a kind of mechanical system of the prefabricated frame, which expected to have a wide application prospect. In this paper, the finite element method was used to compare the hysteretic performance of the CFDST columns with different hollow ratio (χ) and axial compression ratio (n) under the constraints of ordinary joint and the MT joint. Through the comprehensive comparative analysis of the component stress cloud diagram, hysteresis curve and skeleton curve, it is concluded that the CFDST columns under the MT joint constraint have better energy dissipation performance and ductility than the columns under the ordinary joint constraint. The results show that the new frame system can meet the requirements of earthquake resistance.

The[aut]Cao, Jianzhao COVID-19[aut]Pang, Renning can[aut]Ma, Ruwei be[aut]Qi, Yuanwei transmitted by air droplets, aerosols, and other carriers, the spread of the virus can be effectively prevented by wearing masks in public. Therefore, it is meaningful to identify whether a mask is worn in particular places. In this paper, a method based on multi-task convolutional neural networks (MTCNN) and MobileNet algorithms is proposed to implement mask recognition on human face. Firstly, MTCNN is used to detect facial contours. Then the output image is used to train MobileNet model. By comparing the extracted facial feature data, the human with mask or not can be marked. The method has been tested in a 1.8 GHz Intel Core machine with 160 × 160 static images. Average accuracy rate of 94.73% and detection speed of 1.9 s are achieved.

In[aut]Zhang, Jianhua this[aut]Fei, Wenbo paper[aut]Li, Yang, the super-twisting sliding mode intelligent control is applied to the position and attitude of the underdrive quadcopter system. For this system, super-twisting sliding mode control has more advantages, which can solve the chattering problem of traditional sliding mode control and can converge in a finite time. Compared with other research results, this article provides a more accurate mathematical model of a quadcopter, which takes into account more influencing factors and is practical. Finally, numerical example verifies the effectiveness of the control algorithm.

Classical[aut]Wang, Xin impedance[aut]Sun, Jia control[aut]Gao, Zhijun methods[aut]Zhao, Languang use[aut]Liu, Jianshun Voigt[aut]He, Naifeng model to describe relationship between external force and displacement. It is a kind of viscoelastic model shows elastic mechanical properties. This feature always generates a repulsive force because spring plays a major role and make user uncomfortable. By contrast, Maxwell model shows plastic mechanical properties and it shows the plastic properties. This characteristic will improve the comfortableness of human robot interaction. Therefore, we present a Maxwell model-based Cartesian admittance control that uses input of position loop to the manipulator. We compared two methods by experiment and result shows that our method can provide a good comfortableness in the case of having same effect of traditional Cartesian admittance control.

Bearing[aut]Cheng, Pengyu is[aut]Li, Binbin the[aut]Jiao, Bin key component of rotating machinery. It is very important for the normal operation of the equipment to carry out accurate fault detection and analysis of the bearing. Aiming at this problem, this paper proposes a fault diagnosis model based on residual network (RESNET). By transforming one-dimensional vibration data into two-dimensional data, after successive operations such as convolution, pooling, activation, and the residual network module is used to deepen the network while effectively correcting the parameters behind, and finally realizes the improvement of the fault recognition ability. The experimental results prove that this method is compared with other methods the accuracy rate is greatly improved.

During[aut]Yuan, Shuai performing[aut]Chu, Tianshu AFM[aut] Hou, Jing-based nano-manipulations, traditional method is unstable, and the manipulation efficiency is low due to the uncertainty of the AFM tip position. As for these problems, this paper refers to the macro-robot caging strategy, proposes to plan the tip maneuvering trajectory using the “Z-shape” path to form a virtual nano-hand. Then, the model parameters are discussed and optimized through simulation. Meanwhile, the Monte Carlo method is used to illustrate the effectiveness of the optimization. The simulation result indicates that the optimized parameters can make the manipulation more stable and efficient. Finally, the AFM experiment with optimized parameters is carried out to verify the effectiveness and stability of the virtual nano-hand method.

AimingLi,Hongqing atWang, Juan theBai, Bing problemLu, Chuang of the reading of the eight-pointer water meter, it is proposed, in this paper, an automatic recognize reading algorithm based on deep learning and double centroid method. The YOLOv3 neural network is used to detect the object of the small dial. Based on the centers of small dial, the gesture of large dial is corrected by perspective transformation. Then, the whole region of pointers is segmented by U-net neural network. According to the segmented region, a new double centroid method of getting the angle of the pointer region is proposed. The angle of the pointer region can accurately be obtained by this method. Finally, in terms of people’s meter-reading method, a new reading rule is established. A large amount of experimental results show the proposed algorithm can guarantee the satisfying effect even when the dial is unclear or the shooting angle is sloped.