Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
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2024, 38(1): 1-6.
doi: 10.12299/jsues.23-0083
Abstract:
Aiming at the problem that there is no obvious symptom of capacitance performance degradation on subway vehicles, a capacitance status identification method based on optimized variational mode decomposition (VMD) and energy relative entropy was proposed. By establishing a Matlab circuit model, the output voltage signals of the capacitance at normal status or different degradation conditions were extracted, then the characteristic samples were obtained by decomposition of optimized VMD. And the relative entropy analysis of the energy eigenvectors of the eigenmode components at the above status was carried out to obtain the identification threshold of capacitance degradation. In practical application, the relative entropy value of the energy of the circuit under test and the normal status was compared with the identification threshold to complete the capacitance status identification. The analysis result shows that this method can identify the capacitance status simply and effectively, and the accuracy is 93.3%.
Aiming at the problem that there is no obvious symptom of capacitance performance degradation on subway vehicles, a capacitance status identification method based on optimized variational mode decomposition (VMD) and energy relative entropy was proposed. By establishing a Matlab circuit model, the output voltage signals of the capacitance at normal status or different degradation conditions were extracted, then the characteristic samples were obtained by decomposition of optimized VMD. And the relative entropy analysis of the energy eigenvectors of the eigenmode components at the above status was carried out to obtain the identification threshold of capacitance degradation. In practical application, the relative entropy value of the energy of the circuit under test and the normal status was compared with the identification threshold to complete the capacitance status identification. The analysis result shows that this method can identify the capacitance status simply and effectively, and the accuracy is 93.3%.
2024, 38(1): 7-14.
doi: 10.12299/jsues.22-0282
Abstract:
Aiming at the problems that traditional iterative closest point (ICP) algorithm depends on initial position, long matching time and poor matching accuracy in the process of point cloud matching, a vehicle location method based on laser odometry improved point cloud registration algorithm was proposed. Firstly, point clouds were ordered and distorted point clouds were compensated in point cloud preprocessing. Then the static feature points were extracted stably after removing the dynamic feature points of the point cloud. Finally, in the process of point cloud registration, the point cloud was coarse registered to reduce the dependence of point cloud on the initial position, and then the bidirectional k-dimensional tree ICP algorithm was proposed for point cloud precise registration. Through the open source KITTI dataset and self-driving car platform for experimental test and analysis, the results show that compared with the traditional algorithm, the improved point cloud registration algorithm has faster matching speed and accuracy, small cumulative error of odometer trajectory.
Aiming at the problems that traditional iterative closest point (ICP) algorithm depends on initial position, long matching time and poor matching accuracy in the process of point cloud matching, a vehicle location method based on laser odometry improved point cloud registration algorithm was proposed. Firstly, point clouds were ordered and distorted point clouds were compensated in point cloud preprocessing. Then the static feature points were extracted stably after removing the dynamic feature points of the point cloud. Finally, in the process of point cloud registration, the point cloud was coarse registered to reduce the dependence of point cloud on the initial position, and then the bidirectional k-dimensional tree ICP algorithm was proposed for point cloud precise registration. Through the open source KITTI dataset and self-driving car platform for experimental test and analysis, the results show that compared with the traditional algorithm, the improved point cloud registration algorithm has faster matching speed and accuracy, small cumulative error of odometer trajectory.
2024, 38(1): 15-22, 69.
doi: 10.12299/jsues.23-0111
Abstract:
In order to further determine the metro express stopping station, an optimization model of express stopping scheme based on origin-destination (OD) pair of passenger flow was established. Firstly, a road cost function was constructed to allocate OD passenger flow according to route cost. Secondly, taking the shortest travel time of passengers and the lowest operating cost of enterprises as the optimization objective, and taking multiple objective factors such as the cross section full rate, the station passenger flow demand, the number of times of the optimization period constraints as the model constraints, an express stop optimization model was builted according to passenger flow allocation. Finally, based on the basic data of metro line 16 in S city, the genetic algorithm with elite strategy and non dominated sorting, as well as GA hybrid (GA-NSGA-II) were used to solve the optimization model of stopping plan. The optimization results show that in peak hours, the per capita travel time of passengers is saved by 1.074 min, and the number of vehicles under each operation day is reduced by 6 columns.
In order to further determine the metro express stopping station, an optimization model of express stopping scheme based on origin-destination (OD) pair of passenger flow was established. Firstly, a road cost function was constructed to allocate OD passenger flow according to route cost. Secondly, taking the shortest travel time of passengers and the lowest operating cost of enterprises as the optimization objective, and taking multiple objective factors such as the cross section full rate, the station passenger flow demand, the number of times of the optimization period constraints as the model constraints, an express stop optimization model was builted according to passenger flow allocation. Finally, based on the basic data of metro line 16 in S city, the genetic algorithm with elite strategy and non dominated sorting, as well as GA hybrid (GA-NSGA-II) were used to solve the optimization model of stopping plan. The optimization results show that in peak hours, the per capita travel time of passengers is saved by 1.074 min, and the number of vehicles under each operation day is reduced by 6 columns.
2024, 38(1): 23-29.
doi: 10.12299/jsues.23-0108
Abstract:
Electric power steering (EPS) system is a commonly used steering actuator for vehicles at present, and its failure will seriously affect the safety of drivers and passengers. A safety redundancy mechanism for the EPS system was established based on functional safety standards. Based on ISO26262, the EPS system was studied. Through the item definition, hazard analysis and risk assessment, the safety goal and functional safety requirements of the system were obtained and allocated. The architecture and fault-tolerant mechanism of EPS system were designed to improve the security of the system. Finally, the designed safety redundancy mechanism was tested on the bench. The results show that the system can achieve the expected response and meet the functional safety goal under the condition of fault injection such as unilateral bridge driver IC fault, unilateral motor position sensor fault and bilateral motor position sensor fault, which verifies the effectiveness of the designed safety redundancy mechanism.
Electric power steering (EPS) system is a commonly used steering actuator for vehicles at present, and its failure will seriously affect the safety of drivers and passengers. A safety redundancy mechanism for the EPS system was established based on functional safety standards. Based on ISO26262, the EPS system was studied. Through the item definition, hazard analysis and risk assessment, the safety goal and functional safety requirements of the system were obtained and allocated. The architecture and fault-tolerant mechanism of EPS system were designed to improve the security of the system. Finally, the designed safety redundancy mechanism was tested on the bench. The results show that the system can achieve the expected response and meet the functional safety goal under the condition of fault injection such as unilateral bridge driver IC fault, unilateral motor position sensor fault and bilateral motor position sensor fault, which verifies the effectiveness of the designed safety redundancy mechanism.
2024, 38(1): 30-37.
doi: 10.12299/jsues.22-0241
Abstract:
The flow channel structure of a proton exchange membrane fuel cell (PEMFC) has a significant impact on gas flow, diffusion and electrochemical reaction. By building the proposed three-dimensional PEMFC model of a pyramid-shaped baffle and running numerical simulations, the effects of different pyramid baffle ratios and baffle numbers on mass transfer and output performance of fuel cells were investigated. The results show that incorporating a pyramid baffle into the flow path can increase the vertical velocity component of the gas by up to 93.7% when compared to a flow path without baffle, thereby improving gas transfer performance from the flow path to the catalytic layer. When the pyramid baffle ratio is 0.25 and the number of baffles is 1, the net power of the fuel cell can reach a maximum of 0.107 W. Furthermore, increasing the baffle ratio and number of baffles can continuously improve mass transfer performance, but the flow path pressure drop can increase by up to 18.5%, which will reduce PEMFC output performance.
The flow channel structure of a proton exchange membrane fuel cell (PEMFC) has a significant impact on gas flow, diffusion and electrochemical reaction. By building the proposed three-dimensional PEMFC model of a pyramid-shaped baffle and running numerical simulations, the effects of different pyramid baffle ratios and baffle numbers on mass transfer and output performance of fuel cells were investigated. The results show that incorporating a pyramid baffle into the flow path can increase the vertical velocity component of the gas by up to 93.7% when compared to a flow path without baffle, thereby improving gas transfer performance from the flow path to the catalytic layer. When the pyramid baffle ratio is 0.25 and the number of baffles is 1, the net power of the fuel cell can reach a maximum of 0.107 W. Furthermore, increasing the baffle ratio and number of baffles can continuously improve mass transfer performance, but the flow path pressure drop can increase by up to 18.5%, which will reduce PEMFC output performance.
2024, 38(1): 38-43.
doi: 10.12299/jsues.23-0175
Abstract:
To better the wear condition of the piston/bushing interface, the fluid-structure model was created, the interaction between fluid domain and solid domain was studied, the elastic deformations of the piston and bushing were considered, the impact of different thickness of bushing and material with different elastic moduli on the film thickness and deformations of bushing was discussed. The results show that the deformations of bushing decrease with increasing modulus of elasticity, bushing of copper lining materials with smaller elastic modulus or increasing of thicknesses of the bushing properly can improve lubrication conditions of the piston/bushing interface and the service life of the piston pump. Elastic deformations of piston and bushing have significant influences on the film thickness. The results provide a reference for the optimization design of the piston pumps.
To better the wear condition of the piston/bushing interface, the fluid-structure model was created, the interaction between fluid domain and solid domain was studied, the elastic deformations of the piston and bushing were considered, the impact of different thickness of bushing and material with different elastic moduli on the film thickness and deformations of bushing was discussed. The results show that the deformations of bushing decrease with increasing modulus of elasticity, bushing of copper lining materials with smaller elastic modulus or increasing of thicknesses of the bushing properly can improve lubrication conditions of the piston/bushing interface and the service life of the piston pump. Elastic deformations of piston and bushing have significant influences on the film thickness. The results provide a reference for the optimization design of the piston pumps.
2024, 38(1): 44-49.
doi: 10.12299/jsues.23-0152
Abstract:
The welding thermal cycle has many interfering factors, fast changing speed and wide influence range, so it is often necessary to predict and control them immediately to ensure the welding quality. Taking the temperature distribution and change of weld center as the research object, and it was simplified to the transient heat conduction problem of one-dimensional welding heat cycle. Based on Lagrange-Galerkin finite element method, a lightweight welding thermal cycle algorithm was developed to study the immediate changes of the temperature distribution curve and change curve of the weld center at different times. The results show that the calculation time is about 0.41~0.72 s, which meets the requirements of data and lightweight calculation.
The welding thermal cycle has many interfering factors, fast changing speed and wide influence range, so it is often necessary to predict and control them immediately to ensure the welding quality. Taking the temperature distribution and change of weld center as the research object, and it was simplified to the transient heat conduction problem of one-dimensional welding heat cycle. Based on Lagrange-Galerkin finite element method, a lightweight welding thermal cycle algorithm was developed to study the immediate changes of the temperature distribution curve and change curve of the weld center at different times. The results show that the calculation time is about 0.41~0.72 s, which meets the requirements of data and lightweight calculation.
2024, 38(1): 50-56.
doi: 10.12299/jsues.23-0060
Abstract:
Smoothed particle hydrodynamics (SPH) is a meshless method based on Lagrangian. ABAQUS software was used to simulate the friction stir welding of AZ31B magnesium alloy based on the SPH method. By changing the rotation speed of the stirring too, the distributions of residual stress and temperature were studied. The results show that the distribution of residual stress on both sides of the weld is asymmetrical, and the stress on the retreating side is greater than that on the advancing side; the stress curve has bimodal characteristics, showing tensile stress in the welding area; as the rotational speed increases, the stress distribution of the workpiece becomes more uniform; the temperature distribution on both sides of the weld is asymmetrical, and the advancing side is higher than the retreating side, and the temperature rises with the increase of the rotational speed; the longitudinal temperature curve presents an M-shaped distribution. The simulation results have certain reference significance for the selection of welding parameters in the actual welding process.
Smoothed particle hydrodynamics (SPH) is a meshless method based on Lagrangian. ABAQUS software was used to simulate the friction stir welding of AZ31B magnesium alloy based on the SPH method. By changing the rotation speed of the stirring too, the distributions of residual stress and temperature were studied. The results show that the distribution of residual stress on both sides of the weld is asymmetrical, and the stress on the retreating side is greater than that on the advancing side; the stress curve has bimodal characteristics, showing tensile stress in the welding area; as the rotational speed increases, the stress distribution of the workpiece becomes more uniform; the temperature distribution on both sides of the weld is asymmetrical, and the advancing side is higher than the retreating side, and the temperature rises with the increase of the rotational speed; the longitudinal temperature curve presents an M-shaped distribution. The simulation results have certain reference significance for the selection of welding parameters in the actual welding process.
2024, 38(1): 57-62.
doi: 10.12299/jsues.23-0174
Abstract:
A traditional Chinese medicine (TCM) massage robot based on visual guidance was designed. By building a visual guidance platform, the massage robot platform was established based on the Franka multi-degree of freedom robotic arm, and the data mapping model between the two platforms was constructed. The robot arm was connected to the PC through the robot operating system (ROS) system to achieve real-time control. By integrating the optical motion capture technology with the multi-degree of freedom robotic arm, the learning and reproduction of TCM massage techniques were realized.
A traditional Chinese medicine (TCM) massage robot based on visual guidance was designed. By building a visual guidance platform, the massage robot platform was established based on the Franka multi-degree of freedom robotic arm, and the data mapping model between the two platforms was constructed. The robot arm was connected to the PC through the robot operating system (ROS) system to achieve real-time control. By integrating the optical motion capture technology with the multi-degree of freedom robotic arm, the learning and reproduction of TCM massage techniques were realized.
2024, 38(1): 63-69.
doi: 10.12299/jsues.23-0082
Abstract:
Aiming at the problem of variable parameters and external disturbance in force feedback control system of master-slave vascular interventional surgery robot, a terminal sliding mode control method with continuous function characteristics was proposed. The parameters and changes of the force feedback control system of vascular interventional surgery were analyzed based on the calculation and force measurement methods. Then, a terminal sliding mode controller with continuous characteristic function was designed based on the terminal sliding mode control method, and the stability of the controller was proved by using the Lyapunov stability analysis method. Finally, simulation verification was carried out. It shows that from the two perspectives of tracking effect and controller output, the improved terminal sliding mode control method can not only effectively suppress chattering, but also improve the tracking accuracy of the signal, which proves that the strategy has important application value in improving the robustness and the control accuracy of variable parameter system.
Aiming at the problem of variable parameters and external disturbance in force feedback control system of master-slave vascular interventional surgery robot, a terminal sliding mode control method with continuous function characteristics was proposed. The parameters and changes of the force feedback control system of vascular interventional surgery were analyzed based on the calculation and force measurement methods. Then, a terminal sliding mode controller with continuous characteristic function was designed based on the terminal sliding mode control method, and the stability of the controller was proved by using the Lyapunov stability analysis method. Finally, simulation verification was carried out. It shows that from the two perspectives of tracking effect and controller output, the improved terminal sliding mode control method can not only effectively suppress chattering, but also improve the tracking accuracy of the signal, which proves that the strategy has important application value in improving the robustness and the control accuracy of variable parameter system.
2024, 38(1): 70-74.
doi: 10.12299/jsues.23-0147
Abstract:
Most bolt axial force monitoring devices have complex structure, high cost, and are difficult to achieve real-time and effective judgment. A new type of anchor force monitoring device was proposed, that can judge the anchor force at this time by listening to the sound of different frequencies. Pro-E software was used to establish the entity model of the monitoring device was studied, ANSYS software was used to carry out statics and modal calculation of the monitoring device, and LMS Virtual.lab software was used to carry out acoustic simulation analysis of the device. The results show that the device is feasible and effective, and suitable for practical promotion and use.
Most bolt axial force monitoring devices have complex structure, high cost, and are difficult to achieve real-time and effective judgment. A new type of anchor force monitoring device was proposed, that can judge the anchor force at this time by listening to the sound of different frequencies. Pro-E software was used to establish the entity model of the monitoring device was studied, ANSYS software was used to carry out statics and modal calculation of the monitoring device, and LMS Virtual.lab software was used to carry out acoustic simulation analysis of the device. The results show that the device is feasible and effective, and suitable for practical promotion and use.
2024, 38(1): 75-82.
doi: 10.12299/jsues.23-0037
Abstract:
Accurate identification of weeds is the primary prerequisite for achieving machine replacement of manual weeding. The target of nascent weeds is small, making identification difficult. YOLOv5-SPD has good performance in small target recognition, but its robustness and accuracy still need to be improved. Adding channel attention mechanism on the basis of YOLOv5-SPD can strengthen the weight value of effective features, making the learning of the network more targeted. At the same time, replacing the generalized intersection over union (GIoU) loss function with complete intersection over union (CIoU) can effectively solve the problem of border coincidence, the height width ratio of the target box and the prediction box, and the relationship between the center point, there by making the weed prediction box closer to the real box. The experimental results on the weed dataset show that the improved network detection accuracy reaches 70.3% with an accuracy rate of 94.1% which is 4.7% and 2.8% higher than the original YOLOv5-SPD.
Accurate identification of weeds is the primary prerequisite for achieving machine replacement of manual weeding. The target of nascent weeds is small, making identification difficult. YOLOv5-SPD has good performance in small target recognition, but its robustness and accuracy still need to be improved. Adding channel attention mechanism on the basis of YOLOv5-SPD can strengthen the weight value of effective features, making the learning of the network more targeted. At the same time, replacing the generalized intersection over union (GIoU) loss function with complete intersection over union (CIoU) can effectively solve the problem of border coincidence, the height width ratio of the target box and the prediction box, and the relationship between the center point, there by making the weed prediction box closer to the real box. The experimental results on the weed dataset show that the improved network detection accuracy reaches 70.3% with an accuracy rate of 94.1% which is 4.7% and 2.8% higher than the original YOLOv5-SPD.
2024, 38(1): 83-89.
doi: 10.12299/jsues.23-0054
Abstract:
Aiming at the problems of unbalance of credit data and difficult acquisition of label data, a self-training credit evaluation integrated classification model based on data editing was proposed. Firstly, synthetic minority over-sampling technique (SMOTE) was used to sample labeled samples to alleviate data imbalance. Secondly, a Stacking integration model was constructed on a few labeled sample datasets and unlabeled samples were "falsified" to obtain label-like data. Finally, an improved semi-supervised double-weighted K-nearest neighbor algorithm was proposed, which was used to clip the pseudo-label data and expand the training set until the model converged. Simulation experiments of UCI and Kaggle credit evaluation dataset show that the model has better predictive performance and can identify a few types of samples more effectively.
Aiming at the problems of unbalance of credit data and difficult acquisition of label data, a self-training credit evaluation integrated classification model based on data editing was proposed. Firstly, synthetic minority over-sampling technique (SMOTE) was used to sample labeled samples to alleviate data imbalance. Secondly, a Stacking integration model was constructed on a few labeled sample datasets and unlabeled samples were "falsified" to obtain label-like data. Finally, an improved semi-supervised double-weighted K-nearest neighbor algorithm was proposed, which was used to clip the pseudo-label data and expand the training set until the model converged. Simulation experiments of UCI and Kaggle credit evaluation dataset show that the model has better predictive performance and can identify a few types of samples more effectively.
2024, 38(1): 90-95, 100.
doi: 10.12299/jsues.23-0029
Abstract:
The influence of magnetic shear parameters on the electron temperature distribution and heat transport in the magnetic island were studied by numerically solving the tokamak plasma energy transport equation. The results show that for different radial distributions of the safety factor, the magnitude of the magnetic shear parameter will affect the magnitude of the effective radial heat transport coefficient. The higher the shear degree, the greater the effective radial heat transport${\chi _r}$ coefficient. And when the magnetic field perturbation degree is high enough, the effect of high shear on radial heat transport ${\chi _r}$ will be reduced.
The influence of magnetic shear parameters on the electron temperature distribution and heat transport in the magnetic island were studied by numerically solving the tokamak plasma energy transport equation. The results show that for different radial distributions of the safety factor, the magnitude of the magnetic shear parameter will affect the magnitude of the effective radial heat transport coefficient. The higher the shear degree, the greater the effective radial heat transport
2024, 38(1): 96-100.
doi: 10.12299/jsues.23-0058
Abstract:
A mathematical model was established to optimize the acceptance ratio of the feed cabin of China's Eye of Heaven, the Five-hundred-meter Aperture Spherical Telescope (FAST), and the ideal parabolic equation of the reflector of FAST system was obtained. The adjustment scheme of the main cable node of the system was given based on the genetic algorithm. The numerical simulation shows that the reception ratio of the feed cabin is 61.43% when the observed celestial body's azimuth is 36.795° and elevation is 78.169°. The acceptance ratio of the feed cabin is about 55.97 percentage points higher than the base sphere.
A mathematical model was established to optimize the acceptance ratio of the feed cabin of China's Eye of Heaven, the Five-hundred-meter Aperture Spherical Telescope (FAST), and the ideal parabolic equation of the reflector of FAST system was obtained. The adjustment scheme of the main cable node of the system was given based on the genetic algorithm. The numerical simulation shows that the reception ratio of the feed cabin is 61.43% when the observed celestial body's azimuth is 36.795° and elevation is 78.169°. The acceptance ratio of the feed cabin is about 55.97 percentage points higher than the base sphere.
2024, 38(1): 101-110.
doi: 10.12299/jsues.22-0350
Abstract:
Taking fashion sharing as the research object, a theoretical model of fashion sharing influencing factors and acceptance willingness was constructed on the basis of literature review. Based on the questionnaire survey data, factor and regression analysis were used to verify the relationship and influence. The study shows that economic benefits, fashion participation, self-pleasure experience, social projection, past sustainable behaviors, and shared services all affect the willingness to accept fashion sharing positively; perceived risk does not play a mediating role, and perceived value has a positive impact on factors influencing fashion sharing and willingness to share. Gender has a positive moderating effect between economic interests, self-pleasure experience and willingness to accept fashion sharing. The research conclusions can provide practical inspiration for the development of fashion sharing market.
Taking fashion sharing as the research object, a theoretical model of fashion sharing influencing factors and acceptance willingness was constructed on the basis of literature review. Based on the questionnaire survey data, factor and regression analysis were used to verify the relationship and influence. The study shows that economic benefits, fashion participation, self-pleasure experience, social projection, past sustainable behaviors, and shared services all affect the willingness to accept fashion sharing positively; perceived risk does not play a mediating role, and perceived value has a positive impact on factors influencing fashion sharing and willingness to share. Gender has a positive moderating effect between economic interests, self-pleasure experience and willingness to accept fashion sharing. The research conclusions can provide practical inspiration for the development of fashion sharing market.
2017, 31(2): 174-177,182.
doi: 10.3969/j.issn.1009-444X.2017.02.016
摘要：
随着纺织印染行业的不断发展,纺织印染废水成分也日益复杂,大大增加了废水处理难度.针对纺织印染废水的来源和水质特点,综述了国内外纺织印染废水处理技术的研究进展,包括物理处理法、化学处理法和生物处理法,分析了各类处理方法的机制、处理效果及其优缺点.对纺织印染废水处理技术的发展前景进行了展望,指出优化组合废水处理工艺可提高纺织印染废水处理效果及综合回用率.
随着纺织印染行业的不断发展,纺织印染废水成分也日益复杂,大大增加了废水处理难度.针对纺织印染废水的来源和水质特点,综述了国内外纺织印染废水处理技术的研究进展,包括物理处理法、化学处理法和生物处理法,分析了各类处理方法的机制、处理效果及其优缺点.对纺织印染废水处理技术的发展前景进行了展望,指出优化组合废水处理工艺可提高纺织印染废水处理效果及综合回用率.
2018, 32(1): 64-67.
doi: 10.3969/j.issn.1009-444X.2018.01.014
摘要：
交通数据质量是影响交通控制方法有效实施的关键因素之一.为进一步提升交通数据的准确性和时效性,对比分析交通预处理方法,采用标准差公式对拉依达准则进行优化,设计一种适用于交通异常数据检测和修复的优化方法,并结合上海城市快速路实际数据对模型有效性和时效性进行检验.结果表明,基于拉依达准则的数据处理优化方法能够有效、实时地检测交通异常数据、改善数据质量,为道路交通状况的监测和预警提供数据支持.
交通数据质量是影响交通控制方法有效实施的关键因素之一.为进一步提升交通数据的准确性和时效性,对比分析交通预处理方法,采用标准差公式对拉依达准则进行优化,设计一种适用于交通异常数据检测和修复的优化方法,并结合上海城市快速路实际数据对模型有效性和时效性进行检验.结果表明,基于拉依达准则的数据处理优化方法能够有效、实时地检测交通异常数据、改善数据质量,为道路交通状况的监测和预警提供数据支持.
2020, 34(3): 238-246.
doi: 10.3969/j.issn.1009-444X.2020.03.006
摘要：
针对机械臂关节空间轨迹规划的时间优化问题,结合机械臂运动约束,提出基于非线性动态改变惯性权重的粒子群优化(NPSO)算法.根据传统3-5-3多项式插值方法,采用改进粒子群算法寻求最短关节运动时间,研究线性递减改变惯性权重(LPSO)算法和NPSO算法的性能,选用NPSO算法完成关节运动时间最优求解.研究结果显示,经时间优化后的3-5-3插值曲线连续光滑且具备更好的运动特性,整体运动时间缩短约26%,证实提出的方法具有可行性.
针对机械臂关节空间轨迹规划的时间优化问题,结合机械臂运动约束,提出基于非线性动态改变惯性权重的粒子群优化(NPSO)算法.根据传统3-5-3多项式插值方法,采用改进粒子群算法寻求最短关节运动时间,研究线性递减改变惯性权重(LPSO)算法和NPSO算法的性能,选用NPSO算法完成关节运动时间最优求解.研究结果显示,经时间优化后的3-5-3插值曲线连续光滑且具备更好的运动特性,整体运动时间缩短约26%,证实提出的方法具有可行性.
2017, 31(4): 371-375.
doi: 10.3969/j.issn.1009-444X.2017.04.017
摘要：
老年人参与各项社会活动,能够延缓衰老,促进身体健康、提高生活质量.通过开展调研探究了老年人的社会参与意愿及其影响因素.调查发现,城市老年人对经济、政治、社区、文化等各项活动的参与意愿都较高,但是多数的参与停留在被动层面;年龄、性别、文化程度、健康状况等因素会影响参与意愿,且不同活动受影响的程度不同;参与意愿会受到现实条件的约束,如照看小孩,料理家务等.
老年人参与各项社会活动,能够延缓衰老,促进身体健康、提高生活质量.通过开展调研探究了老年人的社会参与意愿及其影响因素.调查发现,城市老年人对经济、政治、社区、文化等各项活动的参与意愿都较高,但是多数的参与停留在被动层面;年龄、性别、文化程度、健康状况等因素会影响参与意愿,且不同活动受影响的程度不同;参与意愿会受到现实条件的约束,如照看小孩,料理家务等.
Numerical Simulation Analysis on Air Distribution of Inter-Column Air Conditioning in a Machine Room
2018, 32(3): 244-249.
doi: 10.3969/j.issn.1009-444X.2018.03.009
摘要：
以上海某数据中心机房为研究对象,针对机房服务器散热量大的特点及传统封闭冷通道存在的问题,提出适合该机房的封闭热通道方案.采用计算流体动力学(CFD)模拟的方法,分析机房内封闭热通道与传统封闭冷通道的温度场和速度场分布特性.通过模拟分析得出:大散热量机房列间空调采用封闭热通道形式效果更佳.
以上海某数据中心机房为研究对象,针对机房服务器散热量大的特点及传统封闭冷通道存在的问题,提出适合该机房的封闭热通道方案.采用计算流体动力学(CFD)模拟的方法,分析机房内封闭热通道与传统封闭冷通道的温度场和速度场分布特性.通过模拟分析得出:大散热量机房列间空调采用封闭热通道形式效果更佳.
2018, 32(3): 214-220.
doi: 10.3969/j.issn.1009-444X.2018.03.004
摘要：
介绍功能纺织品的分类,分析功能纺织品的开发途径,主要阐述国内现代功能纺织品研究及开发进展,包括纳米光触媒多功能纺织品、防电磁辐射纺织品、超疏水多功能纺织品、阻燃纺织品、防蚊虫纺织品,并指出采用高新技术开发生态安全高附加值多功能纺织品是功能性纺织品的发展趋势.
介绍功能纺织品的分类,分析功能纺织品的开发途径,主要阐述国内现代功能纺织品研究及开发进展,包括纳米光触媒多功能纺织品、防电磁辐射纺织品、超疏水多功能纺织品、阻燃纺织品、防蚊虫纺织品,并指出采用高新技术开发生态安全高附加值多功能纺织品是功能性纺织品的发展趋势.
2021, 35(3): 237-242.
摘要：
针对传统光流法处理视频序列时存在运行效率低及跟踪偏移问题，结合粒子滤波模型提出一种改进光流法的视频目标跟踪技术. 该技术首先通过遍历法搜索运动点，采用质心定位方式捕获目标质心坐标，然后将得到的视频序列进行光流处理，最后经粒子滤波求解质心运动信息，以实现对视频中目标的精确检测与追踪. 在不同场景下对不同数量、不同类型目标进行仿真跟踪试验，并与光流法、ViBe算法及YOLO算法进行比较. 仿真结果表明，该跟踪技术可使目标跟踪的精准率有效提高5.2%，跟踪效率提高13.7%，同时表现出较好的鲁棒性.
针对传统光流法处理视频序列时存在运行效率低及跟踪偏移问题，结合粒子滤波模型提出一种改进光流法的视频目标跟踪技术. 该技术首先通过遍历法搜索运动点，采用质心定位方式捕获目标质心坐标，然后将得到的视频序列进行光流处理，最后经粒子滤波求解质心运动信息，以实现对视频中目标的精确检测与追踪. 在不同场景下对不同数量、不同类型目标进行仿真跟踪试验，并与光流法、ViBe算法及YOLO算法进行比较. 仿真结果表明，该跟踪技术可使目标跟踪的精准率有效提高5.2%，跟踪效率提高13.7%，同时表现出较好的鲁棒性.
2017, 31(1): 90-94.
doi: 10.3969/j.issn.1009-444X.2017.01.019
摘要：
针对我国黄金期货价格预测问题,对影响我国黄金期货价格的5项指标进行灰色关联度分析,得出我国黄金期货价格与美国黄金期货价格之间的关联度最高.建立反向传播(BP)神经网络模型对我国黄金期货价格预测,并与GM(1,1)方法和ARIMA(0,2,1)模型下的预测结果进行对比.结果显示:与后两个模型相比,BP神经网络模型在黄金期货价格预测方面的精确性更高,具有较好的实用价值.
针对我国黄金期货价格预测问题,对影响我国黄金期货价格的5项指标进行灰色关联度分析,得出我国黄金期货价格与美国黄金期货价格之间的关联度最高.建立反向传播(BP)神经网络模型对我国黄金期货价格预测,并与GM(1,1)方法和ARIMA(0,2,1)模型下的预测结果进行对比.结果显示:与后两个模型相比,BP神经网络模型在黄金期货价格预测方面的精确性更高,具有较好的实用价值.
2017, 31(2): 126-130.
doi: 10.3969/j.issn.1009-444X.2017.02.007
摘要：
为满足读者的个性化需求,为其提供内容精准推送服务,有效提升期刊论文的传播与交流,设计了《计算机工程》内容精准推送系统.基于期刊采编系统的大量学者信息,利用语义分析及智能分词等技术,将读者—文章—标准关键词库进行匹配和过滤,为潜在读者主动推送相关论文摘要及下载链接.每期推送邮件约7 000封,发送成功率达99％,论文被下载次数较未运行该系统前明显增多,其中下载排名前列的均为已推送论文.科技期刊采用精准推送平台不仅可以为领域学者提供高效便捷的知识服务,也能够增强期刊论文的有效传播力度.
为满足读者的个性化需求,为其提供内容精准推送服务,有效提升期刊论文的传播与交流,设计了《计算机工程》内容精准推送系统.基于期刊采编系统的大量学者信息,利用语义分析及智能分词等技术,将读者—文章—标准关键词库进行匹配和过滤,为潜在读者主动推送相关论文摘要及下载链接.每期推送邮件约7 000封,发送成功率达99％,论文被下载次数较未运行该系统前明显增多,其中下载排名前列的均为已推送论文.科技期刊采用精准推送平台不仅可以为领域学者提供高效便捷的知识服务,也能够增强期刊论文的有效传播力度.
2017, 31(1): 20-24.
doi: 10.3969/j.issn.1009-444X.2017.01.005
摘要：
介绍了水性工业涂料用丙烯酸酯、聚氨酯、环氧和醇酸4种树脂水性化的最新研究进展.对水性工业涂料的成膜机制进行了总结,并对水分散型、水稀释型等工业涂料的成膜机制做出进一步探讨.总结了水性工业涂料在应用过程中出现的问题并提出解决办法,展望了工业涂料水性化技术面临的挑战与机遇.
介绍了水性工业涂料用丙烯酸酯、聚氨酯、环氧和醇酸4种树脂水性化的最新研究进展.对水性工业涂料的成膜机制进行了总结,并对水分散型、水稀释型等工业涂料的成膜机制做出进一步探讨.总结了水性工业涂料在应用过程中出现的问题并提出解决办法,展望了工业涂料水性化技术面临的挑战与机遇.
2003, 17(2): 83-86.
doi: 10.3969/j.issn.1009-444X.2003.02.001
Abstract:
2001, 15(1): 31-37.
doi: 10.3969/j.issn.1009-444X.2001.01.007
Abstract:
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Chinese Quarterly
Supervisor: Shanghai Municipal Education Commission
Sponsors by: Shanghai University of Engineering Science
Publisher: Editorial Department of Journal of Shanghai University of Engineering Science
Editor-in-Chief: WANG Yansong
Email: xuebao@sues.edu.cn
ISSN1009-444X
CN31-1598/T
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