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(2): 111-117.
doi: 10.12299/jsues.23-0173
Abstract:
In the measurement process of aerospace milling parts, traditional image processing methods cannot effectively measure the size of guide holes in milling parts that contain interference factors such as chips and cutting fluid. To address this issue, a visual measurement method for workpiece aperture based on the TransUNet model was proposed to detect interference regions in the workpiece image, and a mixed pooling module was introduced to improve the model's feature recognition range for chips and cutting fluids. Then, an image direction texture repair method was used to repair the detection image, and the guide hole edge pixels were extracted by improving the edge detection algorithm. Combining the random sampling consensus algorithm and least squares method, the guide hole geometric size was obtained by filtering and fitting the edge pixel points. Finally, the effectiveness of the method was verified by an example of aerospace fixture plate. The measurement accuracy of the guide hole aperture is 0.03 mm, which can meets the requirements of quality inspection for aerospace milling parts.
In the measurement process of aerospace milling parts, traditional image processing methods cannot effectively measure the size of guide holes in milling parts that contain interference factors such as chips and cutting fluid. To address this issue, a visual measurement method for workpiece aperture based on the TransUNet model was proposed to detect interference regions in the workpiece image, and a mixed pooling module was introduced to improve the model's feature recognition range for chips and cutting fluids. Then, an image direction texture repair method was used to repair the detection image, and the guide hole edge pixels were extracted by improving the edge detection algorithm. Combining the random sampling consensus algorithm and least squares method, the guide hole geometric size was obtained by filtering and fitting the edge pixel points. Finally, the effectiveness of the method was verified by an example of aerospace fixture plate. The measurement accuracy of the guide hole aperture is 0.03 mm, which can meets the requirements of quality inspection for aerospace milling parts.
2024, 38(2): 118-122.
doi: 10.12299/jsues.23-0158
Abstract:
Fracture disease of fasteners and elastic strips is one of the risk sources of train operation safety. The fastener sling status detection is mainly based on manual inspection, which is difficult to detect in a timely manner, and there is a lack of effective non-destructive testing methods. The acoustic emission technology was applied to the damage detection of fastener sling, and a fastener acoustic emission signal acquisition system was developed; type B sling static load compression experiment system was built; the complete acoustic emission signal during the fracture and damage of the type B strip was acquired. Using the acoustic emission parameter analysis method to analyze the three damage stages of the slug fracture process, the crack extension stage acoustic emission events are more active and the amplitude is higher. The characteristics of the acoustic emission signal at the different damage stages were obtained by acoustic emission waveform analysis method, and the energy of the acoustic emission signal from the crack initiation to the extension to the fracture damage stage increased in the frequency band, and the later stage of damage, the higher frequency component of the acoustic emission signal.
Fracture disease of fasteners and elastic strips is one of the risk sources of train operation safety. The fastener sling status detection is mainly based on manual inspection, which is difficult to detect in a timely manner, and there is a lack of effective non-destructive testing methods. The acoustic emission technology was applied to the damage detection of fastener sling, and a fastener acoustic emission signal acquisition system was developed; type B sling static load compression experiment system was built; the complete acoustic emission signal during the fracture and damage of the type B strip was acquired. Using the acoustic emission parameter analysis method to analyze the three damage stages of the slug fracture process, the crack extension stage acoustic emission events are more active and the amplitude is higher. The characteristics of the acoustic emission signal at the different damage stages were obtained by acoustic emission waveform analysis method, and the energy of the acoustic emission signal from the crack initiation to the extension to the fracture damage stage increased in the frequency band, and the later stage of damage, the higher frequency component of the acoustic emission signal.
2024, 38(2): 123-131.
doi: 10.12299/jsues.23-0164
Abstract:
In order to improve the accuracy and stability of unmanned vehicle trajectory tracking, a vehicle motion control method based on weighted variable time domain model predictive control (MPC) was proposed. The grey relational analysis method was used to determine the optimal time domain under different speed conditions, and the Fourier approximation method was used to fit the time domain parameters. Taking the controller calculation time as the weight coefficient, a weighted variable time domain MPC semi-empirical model with time domain parameters varying with vehicle speeds was obtained. The model can select the relative optimal time domain according to the change of vehicle trajectory tracking speed, and improve the tracking accuracy and stability of the controller under different vehicle speeds. Selecting 50 and 100 km/h as representative vehicle speeds, the control effects of the traditional time-domain MPC controller and the weighted time-domain MPC controller were compared by simulation experiments. The results show that the weighted variable time domain controller can effectively improve the tracking performance of the controller, the maximum lateral deviation is reduced by 1.98%, the maximum yaw angle deviation is reduced by 60%, and the controller solution time is reduced by 7.2%. And it also has strong adaptability to different target speed conditions.
In order to improve the accuracy and stability of unmanned vehicle trajectory tracking, a vehicle motion control method based on weighted variable time domain model predictive control (MPC) was proposed. The grey relational analysis method was used to determine the optimal time domain under different speed conditions, and the Fourier approximation method was used to fit the time domain parameters. Taking the controller calculation time as the weight coefficient, a weighted variable time domain MPC semi-empirical model with time domain parameters varying with vehicle speeds was obtained. The model can select the relative optimal time domain according to the change of vehicle trajectory tracking speed, and improve the tracking accuracy and stability of the controller under different vehicle speeds. Selecting 50 and 100 km/h as representative vehicle speeds, the control effects of the traditional time-domain MPC controller and the weighted time-domain MPC controller were compared by simulation experiments. The results show that the weighted variable time domain controller can effectively improve the tracking performance of the controller, the maximum lateral deviation is reduced by 1.98%, the maximum yaw angle deviation is reduced by 60%, and the controller solution time is reduced by 7.2%. And it also has strong adaptability to different target speed conditions.
2024, 38(2): 132-138, 204.
doi: 10.12299/jsues.23-0184
Abstract:
Based on the evolutionary game theory and considering the new relationship between the leasing parties as parent-subsidiary companies, a tripartite evolutionary game model of the government, airlines and leasing companies was constructed, the system dynamics (SD) method was used to conduct dynamic simulation of strategies, and sensitivity analysis was conducted on key factors affecting evolutionary strategies. When the government enhances social benefits and actively regulates, the penalty imposed on leasing companies by airlines adopting an 'antagonistic' strategy increases, and so does the additional revenue of leasing companies, thereby accelerating the maturity of the aviation leasing market. The research results can provide the direction for the leasing market to accelerate its maturation under the new relationship, and also a theoretical basis for the government to formulate regulatory policies for aircraft leasing affiliates.
Based on the evolutionary game theory and considering the new relationship between the leasing parties as parent-subsidiary companies, a tripartite evolutionary game model of the government, airlines and leasing companies was constructed, the system dynamics (SD) method was used to conduct dynamic simulation of strategies, and sensitivity analysis was conducted on key factors affecting evolutionary strategies. When the government enhances social benefits and actively regulates, the penalty imposed on leasing companies by airlines adopting an 'antagonistic' strategy increases, and so does the additional revenue of leasing companies, thereby accelerating the maturity of the aviation leasing market. The research results can provide the direction for the leasing market to accelerate its maturation under the new relationship, and also a theoretical basis for the government to formulate regulatory policies for aircraft leasing affiliates.
2024, 38(2): 139-145.
doi: 10.12299/jsues.23-0172
Abstract:
The degradation of organic pollutants by transition metal activated peroxymonosulfate (PMS) has important application value in the field of advanced oxidation. MnO2/SiC composite catalyst was prepared by hydrothermal method on the surface of silicon carbide (SiC), which was used to activate PMS to degrade and remove methylene blue (MB) from water. The results show that MnO2 is uniformly attached to the surface of SiC in the form of particles, and the removal rate of MB by MnO2/SiC-PMS system reaches 99% within 40 min. The MnO2/SiC-PMS system can achieve high degradation efficiency of MB over a wide pH range (5.0~9.0), while 5 mmol/L Cl−and NO− 3 had no significant effect on the MnO2/SiC-PMS system. Phosphate and bicarbonate have quenching effect on oxidative free radicals, leading to a decrease in the degradation efficiency of MB in the MnO2/SiC PMS system. The results of free radical quenching experiments indicate that$ {\text{O}}_{\text{2}}^{{-·}} $ plays a major role in the MnO2/SiC-PMS system. In addition, MnO2/SiC has good recyclability.
The degradation of organic pollutants by transition metal activated peroxymonosulfate (PMS) has important application value in the field of advanced oxidation. MnO2/SiC composite catalyst was prepared by hydrothermal method on the surface of silicon carbide (SiC), which was used to activate PMS to degrade and remove methylene blue (MB) from water. The results show that MnO2 is uniformly attached to the surface of SiC in the form of particles, and the removal rate of MB by MnO2/SiC-PMS system reaches 99% within 40 min. The MnO2/SiC-PMS system can achieve high degradation efficiency of MB over a wide pH range (5.0~9.0), while 5 mmol/L Cl−and NO− 3 had no significant effect on the MnO2/SiC-PMS system. Phosphate and bicarbonate have quenching effect on oxidative free radicals, leading to a decrease in the degradation efficiency of MB in the MnO2/SiC PMS system. The results of free radical quenching experiments indicate that
2024, 38(2): 146-152.
doi: 10.12299/jsues.24-0144
Abstract:
Plug is the key tool for cross-piercing, its lifespan has a significant impact on the quality and cost of the hollow bloom. The methods of etallographic microscope, scanning electron microscope, Gleeble thermal simulation, and friction and wear tester were used to study the microstructure, hardness, deformation resistance, and friction and wear performance, and the typical failure modes of piercing plugs of high alloy tube were summarized. Research results show that the micro-structure of the plug is sorbite, the Vickers hardness (HV) is approximate 258, the friction and friction factor is approximate 0.45. Within the range of 900~1250 ℃, as the temperature increases, the deformation resistance of the plug decreases from 290 to 77 MPa. The typical failure modes of plugs used for high alloy tube piercing include nose collapse, wearing a hat, loss of flesh, sticking, and longitudinal cracks. The causes of failure mode are that the plug is subjected to great axial force, compressive stress and shear stress in the environment of quenching and hot rolling.
Plug is the key tool for cross-piercing, its lifespan has a significant impact on the quality and cost of the hollow bloom. The methods of etallographic microscope, scanning electron microscope, Gleeble thermal simulation, and friction and wear tester were used to study the microstructure, hardness, deformation resistance, and friction and wear performance, and the typical failure modes of piercing plugs of high alloy tube were summarized. Research results show that the micro-structure of the plug is sorbite, the Vickers hardness (HV) is approximate 258, the friction and friction factor is approximate 0.45. Within the range of 900~1250 ℃, as the temperature increases, the deformation resistance of the plug decreases from 290 to 77 MPa. The typical failure modes of plugs used for high alloy tube piercing include nose collapse, wearing a hat, loss of flesh, sticking, and longitudinal cracks. The causes of failure mode are that the plug is subjected to great axial force, compressive stress and shear stress in the environment of quenching and hot rolling.
2024, 38(2): 153-157.
doi: 10.12299/jsues.23-0155
Abstract:
The pyrolysis temperature and pyrolysis rate are important factors affecting the products of wheat straw. To investigate the effects of temperature and rate on the pyrolysis process of wheat straw, a kinetic and thermodynamic model of wheat straw during pyrolysis was established in Fluent simulation software, and its thermal behavior was analyzed to simulate the pyrolysis process of wheat straw under different heating rates and pyrolysis temperatures. The simulation results show that the higher the pyrolysis rate and temperature, lower the yield of solid products such as coke, and the higher the yield gas products.
The pyrolysis temperature and pyrolysis rate are important factors affecting the products of wheat straw. To investigate the effects of temperature and rate on the pyrolysis process of wheat straw, a kinetic and thermodynamic model of wheat straw during pyrolysis was established in Fluent simulation software, and its thermal behavior was analyzed to simulate the pyrolysis process of wheat straw under different heating rates and pyrolysis temperatures. The simulation results show that the higher the pyrolysis rate and temperature, lower the yield of solid products such as coke, and the higher the yield gas products.
2024, 38(2): 158-164.
doi: 10.12299/jsues.23-0238
Abstract:
Selective laser melting (SLM) technology has broad application prospects in the fields of metal additive manufacturing, aerospace vehicles, etc. The research progress of SLM316 stainless steel materials in terms of process, structure, properties, and applications were summarized, and the existing problems and solutions were analyzed and explored. The problems in the production process, product quality, performance stability, and post-treatment process of SLM were analyzed. The microstructure and mechanical properties of 316 stainless steel additive were further studied. influences of the process on the microstructure and properties were analyzed. By reasonably controlling the laser additive manufacturing process, it can provide support for the application of the technology in the industry.
Selective laser melting (SLM) technology has broad application prospects in the fields of metal additive manufacturing, aerospace vehicles, etc. The research progress of SLM316 stainless steel materials in terms of process, structure, properties, and applications were summarized, and the existing problems and solutions were analyzed and explored. The problems in the production process, product quality, performance stability, and post-treatment process of SLM were analyzed. The microstructure and mechanical properties of 316 stainless steel additive were further studied. influences of the process on the microstructure and properties were analyzed. By reasonably controlling the laser additive manufacturing process, it can provide support for the application of the technology in the industry.
2024, 38(2): 165-170.
doi: 10.12299/jsues.23-0178
Abstract:
To explore the heating characteristics of a radiation air conditioning system, a radiation air conditioning system test bench was built, a 7-day intermittent operation test was conducted. The temperature and humidity of the air from two-stage fresh air unit, the heat output and efficiency of the air-source heat pump, as well as the energy use and efficiency ratio of the system were analyzed emphatically. The results show that under setting parameters, the stable supply air temperature and humidity of the two-stage fresh air are about 27 ℃ and 35%, respectively. The average heating capacity of the air source heat pump host is 4.5 kW, and the heating coefficient of performance (COPU) is 4.10. The power consumption of the radiation air conditioning system is 1.5 kW·h, and the system coefficient of performance (COPS) is 3.02. The results can provide reference for further optimization and promotion of the system.
To explore the heating characteristics of a radiation air conditioning system, a radiation air conditioning system test bench was built, a 7-day intermittent operation test was conducted. The temperature and humidity of the air from two-stage fresh air unit, the heat output and efficiency of the air-source heat pump, as well as the energy use and efficiency ratio of the system were analyzed emphatically. The results show that under setting parameters, the stable supply air temperature and humidity of the two-stage fresh air are about 27 ℃ and 35%, respectively. The average heating capacity of the air source heat pump host is 4.5 kW, and the heating coefficient of performance (COPU) is 4.10. The power consumption of the radiation air conditioning system is 1.5 kW·h, and the system coefficient of performance (COPS) is 3.02. The results can provide reference for further optimization and promotion of the system.
2024, 38(2): 171-178.
doi: 10.12299/jsues.23-0176
Abstract:
Aiming at the problem that industrial silt in settling tank was difficult to clean up, a crawler-type underwater dredging robot which can adapt to complex environment was designed. A crawler-type moving mechanism was used by the silt removal robot to adapt to soft mud layer. The stability of the dredging robot driving on flat ground and up and down slopes were analyzed, and the feasible region of the center of buoyancy of dredging robot running stably was obtained. The dynamic model of a dredging robot was built based on RecurDyn simulation software, and different types of terrain environment and working conditions were analyzed when the robot operating underwater. The results indicate that the buoyancy set in the center of buoyancy domain when the stability of the robot is higher. The height of the center of mass of the dredging robot can always remain stable and meet the design requirements. It is confirmed that the dredging robot can stably pass through 15° slopes and 100 mm obstacle, which proves that the design of the dredging robot can adapt to the complex underwater environment.
Aiming at the problem that industrial silt in settling tank was difficult to clean up, a crawler-type underwater dredging robot which can adapt to complex environment was designed. A crawler-type moving mechanism was used by the silt removal robot to adapt to soft mud layer. The stability of the dredging robot driving on flat ground and up and down slopes were analyzed, and the feasible region of the center of buoyancy of dredging robot running stably was obtained. The dynamic model of a dredging robot was built based on RecurDyn simulation software, and different types of terrain environment and working conditions were analyzed when the robot operating underwater. The results indicate that the buoyancy set in the center of buoyancy domain when the stability of the robot is higher. The height of the center of mass of the dredging robot can always remain stable and meet the design requirements. It is confirmed that the dredging robot can stably pass through 15° slopes and 100 mm obstacle, which proves that the design of the dredging robot can adapt to the complex underwater environment.
2024, 38(2): 179-186.
doi: 10.12299/jsues.23-0181
Abstract:
To address the problem of pedestrian occlusion and messy background information in the task of pedestrian re-identification (Re-ID), the human body key point model was adopted to locate the key point information of the pedestrians to eliminate the background information, and the image was segmented into semantic information based on the key point information. In order to make the extracted features of backbone network more robust, enhanced attention module (EAM) was designed, which allows the network to automatically assign weights, and the more recognizable feature vectors were finally obtained. These parts and the overall image were fed into a neural network that incorporates the modified attention mechanism and optimized the network by combining multiple losses. Experiments on several pedestrian re-recognition datasets validate that the proposed method outperforms most state-of-the-art methods. In addition, the experimental results also show that the network has a positive effect on the cross-domain and occlusion problems.
To address the problem of pedestrian occlusion and messy background information in the task of pedestrian re-identification (Re-ID), the human body key point model was adopted to locate the key point information of the pedestrians to eliminate the background information, and the image was segmented into semantic information based on the key point information. In order to make the extracted features of backbone network more robust, enhanced attention module (EAM) was designed, which allows the network to automatically assign weights, and the more recognizable feature vectors were finally obtained. These parts and the overall image were fed into a neural network that incorporates the modified attention mechanism and optimized the network by combining multiple losses. Experiments on several pedestrian re-recognition datasets validate that the proposed method outperforms most state-of-the-art methods. In addition, the experimental results also show that the network has a positive effect on the cross-domain and occlusion problems.
2024, 38(2): 187-195.
doi: 10.12299/jsues.23-0187
Abstract:
In the service industry involving massage and health preservation, as well as the field of physical therapy for muscle strains, replacing manual labor with robotic arms can not only free up manpower, but also control the posture of physical therapy equipment more systematically and accurately. Shock wave therapy requires contact with the human body surface and operates in a certain posture, such as normal direction, and it is a major difficulty to control the robot posture to work from the normal direction of human body at all the times. The posture control of shock wave robot based on time-of-flight sensors was proposed, ranged sensor array with multiple VL6180X sensors was mounted on the end of the robot arm, and the distance from the robot to the human surface was measured to obtain the human surface position information. Based on this information, a human surface model was constructed in real time using the least squares method to control the robot posture and perform physiotherapy massage on the human body from the normal direction.
In the service industry involving massage and health preservation, as well as the field of physical therapy for muscle strains, replacing manual labor with robotic arms can not only free up manpower, but also control the posture of physical therapy equipment more systematically and accurately. Shock wave therapy requires contact with the human body surface and operates in a certain posture, such as normal direction, and it is a major difficulty to control the robot posture to work from the normal direction of human body at all the times. The posture control of shock wave robot based on time-of-flight sensors was proposed, ranged sensor array with multiple VL6180X sensors was mounted on the end of the robot arm, and the distance from the robot to the human surface was measured to obtain the human surface position information. Based on this information, a human surface model was constructed in real time using the least squares method to control the robot posture and perform physiotherapy massage on the human body from the normal direction.
2024, 38(2): 196-204.
doi: 10.12299/jsues.23-0213
Abstract:
Zero-and-one-inflated geometric distribution model was investigated, the conditional distribution of latent variables were constructed, and a sampling algorithm was designed. On the basis of data expansion, the maximum likelihood estimation, expectation maximization (EM) algorithm and Bayesian method were employed to estimate the model parameters. Different sample sizes and parameter true values were setted, and the performance of these methods were evaluated through numerical simulations. Finally, the Detroit traffic accident deaths dataset in 1994 of United States were analyzed, the results indicate that zero-and-one-inflated geometric distribution model can fit the dataset better.
Zero-and-one-inflated geometric distribution model was investigated, the conditional distribution of latent variables were constructed, and a sampling algorithm was designed. On the basis of data expansion, the maximum likelihood estimation, expectation maximization (EM) algorithm and Bayesian method were employed to estimate the model parameters. Different sample sizes and parameter true values were setted, and the performance of these methods were evaluated through numerical simulations. Finally, the Detroit traffic accident deaths dataset in 1994 of United States were analyzed, the results indicate that zero-and-one-inflated geometric distribution model can fit the dataset better.
2024, 38(2): 205-211.
doi: 10.12299/jsues.23-0161
Abstract:
In the industrial production environments such as irregular shapes of text, high reflectivity and blurring, the existing text detection method have the problems of inaccurate border localization and the limitation of detecting text within rectangular boxes. Based on boundary learning, a unified, broad-to-fine detection framework was proposed. It mainly consists of a feature extraction backbone network, a boundary suggestion module, and an iterative optimized boundary transformer module. ResNet network was used in the feature extraction backbone network to extract features from images. The boundary suggestion module consisted of multi-layer dilation convolution was used to generate rough bounding boxes. Additionally, an encoder-decoder structure was used in boundary transformer module to gradually improve the rough bounding boxes by iterative deformation under the guidance of classification map, distance field and direction field. The results of experiments conducted based on the self-collected datasets show that the accuracy, recall and F-measure values of the model are 91.56%, 87.38% and 89.41% respectively. The efficiency and advantages of the algorithm in the date detection of edible oil drums are verified.
In the industrial production environments such as irregular shapes of text, high reflectivity and blurring, the existing text detection method have the problems of inaccurate border localization and the limitation of detecting text within rectangular boxes. Based on boundary learning, a unified, broad-to-fine detection framework was proposed. It mainly consists of a feature extraction backbone network, a boundary suggestion module, and an iterative optimized boundary transformer module. ResNet network was used in the feature extraction backbone network to extract features from images. The boundary suggestion module consisted of multi-layer dilation convolution was used to generate rough bounding boxes. Additionally, an encoder-decoder structure was used in boundary transformer module to gradually improve the rough bounding boxes by iterative deformation under the guidance of classification map, distance field and direction field. The results of experiments conducted based on the self-collected datasets show that the accuracy, recall and F-measure values of the model are 91.56%, 87.38% and 89.41% respectively. The efficiency and advantages of the algorithm in the date detection of edible oil drums are verified.
2024, 38(2): 212-217.
doi: 10.12299/jsues.23-0142
Abstract:
Haptic imagery provides consumers with sensory connection experiences between physical touch and online virtual touch in online shopping. Based on the S-O-R model and in conjunction with the literature, an empirical analysis was conducted to explore the influence of haptic imagery on apparel online purchase intention. The results show that in apparel online shopping, haptic imagery has a significant positive effect on perceived product quality, purchase intention and pleasure; pleasure and time risk significantly and positively affect purchase intention; pleasure has a mediating effect between haptic imagery and purchase intention; need for touch has a significant positive moderating role in the relationship between haptic imagery and perceived product quality, and between haptic imagery and pleasure. The results of the study can provide a basis for apparel companies to improve their online haptic marketing strategies.
Haptic imagery provides consumers with sensory connection experiences between physical touch and online virtual touch in online shopping. Based on the S-O-R model and in conjunction with the literature, an empirical analysis was conducted to explore the influence of haptic imagery on apparel online purchase intention. The results show that in apparel online shopping, haptic imagery has a significant positive effect on perceived product quality, purchase intention and pleasure; pleasure and time risk significantly and positively affect purchase intention; pleasure has a mediating effect between haptic imagery and purchase intention; need for touch has a significant positive moderating role in the relationship between haptic imagery and perceived product quality, and between haptic imagery and pleasure. The results of the study can provide a basis for apparel companies to improve their online haptic marketing strategies.
2024, 38(2): 218-222.
doi: 10.12299/jsues.23-0133
Abstract:
To explore the relationship between consumer expectation and repurchase intention, four variables that may affect repurchase intention, including price discount, waiting time, brand image and clothing product design were proposed. Clothing quality perception and value perception were considered as intermediary variables, and a theoretical model was constructed. Empirical analysis was conducted by using regression analysis, structural equation model, and Bootstrap test. The results show that price discount, waiting time, brand image and clothing product design have positive influence on repurchase intention. The clothing quality perception and clothing value perception play an intermediary role between consumer expectation difference and repurchase intention. The results provide a theoretical reference for clothing brand to improve positive expectations of consumers.
To explore the relationship between consumer expectation and repurchase intention, four variables that may affect repurchase intention, including price discount, waiting time, brand image and clothing product design were proposed. Clothing quality perception and value perception were considered as intermediary variables, and a theoretical model was constructed. Empirical analysis was conducted by using regression analysis, structural equation model, and Bootstrap test. The results show that price discount, waiting time, brand image and clothing product design have positive influence on repurchase intention. The clothing quality perception and clothing value perception play an intermediary role between consumer expectation difference and repurchase intention. The results provide a theoretical reference for clothing brand to improve positive expectations of consumers.
2024, 38(2): 223-230.
doi: 10.12299/jsues.23-0141
Abstract:
In response to the return dispute between buyers and sellers in online transactions, e-commerce platforms have introduced return freight insurance to share the risk of product returns, but lenient return policies can also contribute to excessive returns. Thus, third-party insurance companies were incorporated into the Stackelberg game, which was dominated by the manufacturer and followed by the online retailer. Taking into account return behavior and freight insurance sensitivity of risk-averse consumers, three pricing return models with the participation of multiple decision makers, namely, the seller's freight insurance, the buyer's freight insurance and the shared freight insurance, were developed to analyze pricing decisions and freight insurance strategies of the online retailer. The results show that consumers’ risk aversion attitudes benefit to reduce the product price and freight insurance price, thereby increase market demand and profits for all members involved. The co-sharing mechanism for freight insurance can be effective in mitigating customer loss, and when the return rate is low, consumer preferences for return freight insurance are advantageous for the profitability of the overall supply chain.
In response to the return dispute between buyers and sellers in online transactions, e-commerce platforms have introduced return freight insurance to share the risk of product returns, but lenient return policies can also contribute to excessive returns. Thus, third-party insurance companies were incorporated into the Stackelberg game, which was dominated by the manufacturer and followed by the online retailer. Taking into account return behavior and freight insurance sensitivity of risk-averse consumers, three pricing return models with the participation of multiple decision makers, namely, the seller's freight insurance, the buyer's freight insurance and the shared freight insurance, were developed to analyze pricing decisions and freight insurance strategies of the online retailer. The results show that consumers’ risk aversion attitudes benefit to reduce the product price and freight insurance price, thereby increase market demand and profits for all members involved. The co-sharing mechanism for freight insurance can be effective in mitigating customer loss, and when the return rate is low, consumer preferences for return freight insurance are advantageous for the profitability of the overall supply chain.
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:
2019, 33(3): 283-284,288.
doi: 10.3969/j.issn.1009-444X.2019.03.017
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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