The paper sheds light on the idle lean blow off(LBO)problem for high fuel air ratio(FAR)com⁃bustor,which is impossible to be addressed with traditional aero combustor design.A significant improvement in aero combustor...The paper sheds light on the idle lean blow off(LBO)problem for high fuel air ratio(FAR)com⁃bustor,which is impossible to be addressed with traditional aero combustor design.A significant improvement in aero combustor design is required to resolve the idle LBO issue.The authors detailed a practical and efficient solu⁃tion,which not only solved the idle LBO issue but also defined the aero-thermal design for high-FAR combustor.The design will usher in a new era of aero combustor.展开更多
In order to improve the steady and dynamic characteristic of the idle speed control and study the performance of the fuzzy control method for the idle speed control, a fuzzy control system is developed to control the ...In order to improve the steady and dynamic characteristic of the idle speed control and study the performance of the fuzzy control method for the idle speed control, a fuzzy control system is developed to control the idle speed of gasoline engine. The construction and working principle of the fuzzy controller are described, and the design procedure of the fuzzy controller is given in detail. The control parameters are determined by computer simulation. The simulation and experiments on the engine test bench show that the idle speed is controlled accurately both in stationary and in dynamic states, and the fuzzy control method is robust to the changes of engine parameters.展开更多
A novel steady-state optimization (SSO) of internal combustion engine (ICE) strategy is proposed to maximize the efficiency of the overall powertrain for hybrid electric vehicles, in which the ICE efficiency, the ...A novel steady-state optimization (SSO) of internal combustion engine (ICE) strategy is proposed to maximize the efficiency of the overall powertrain for hybrid electric vehicles, in which the ICE efficiency, the efficiencies of the electric motor (EM) and the energy storage device are all explicitly taken into account. In addition, a novel idle optimization of ICE strategy is implemented to obtain the optimal idle operating point of the ICE and corresponding optimal parking generation power of the EM using the view of the novel SSO of ICE strategy. Simulations results show that potential fuel economy improvement is achieved relative to the conventional one which only optimized the ICE efficiency by the novel SSO of ICE strategy, and fuel consumption per voltage increment decreases a lot during the parking charge by the novel idle optimization of ICE strategy.展开更多
A neural-network-based adaptive variable structure control methodology isproposed for the tracking problem of nonlinear discrete-time input-output systems. The unknowndynamics of the system are approximated via radial...A neural-network-based adaptive variable structure control methodology isproposed for the tracking problem of nonlinear discrete-time input-output systems. The unknowndynamics of the system are approximated via radial basis function neural networks. The control lawis based on sliding modes and simple to implement. The discrete-time adaptive law for tuning theweight of neural networks is presented using the adaptive filtering algorithm with residueupper-bound compensation. The application of the proposed controller to engine idle speed controldesign is discussed. The results indicate the validation and effectiveness of this approach.展开更多
Objective] The alm was to study the high-yield cuItivation technique of fodder soybean(Glycine max (L.) Merr.) in autumn idIe Iand. [Methods] Such five in-fIuencing factors as Iine spacing, pIanting density, nitro...Objective] The alm was to study the high-yield cuItivation technique of fodder soybean(Glycine max (L.) Merr.) in autumn idIe Iand. [Methods] Such five in-fIuencing factors as Iine spacing, pIanting density, nitrogen (N), phosphorus (P) and potassium (K) of fodder soybean seeding in autumn idIe Iand were compared using orthogonal experiment method and LSD method of PASW 18 statistics software. [Results] The resuIts showed that density, Iine spacing and K2O had important ef-fects on bioIogical yield of fodder soybean in autumn idIe Iand. Moreover, the opti-mum proposal for high-yield matching cuItivation technique of fodder soybean in au-tumn idIe Iand was determined as foI ows: pIanting density was 75 ×104 pIants/hm2;300 kg/hm2 N, 112.5 kg/hm2 P2O5 and 375 kg/hm2 K2O were viewed as basic fertiIiz-ers; the seedIing styIe was sowing in driI with the Iine spacing of 50 cm. In the proposal, fresh and hay grass yields were 6 661.67 and 2 723.64 kg/hm2, respec-tiveIy, which increased by 24.17% and 27.63% respectiveIy compared to the second fine combination. [Conclusions] The resuIts provided a theoretical basis and technical support for the production of fodder soybean in autumn idIe Iand.展开更多
Workflow scheduling is a key issue and remains a challenging problem in cloud computing.Faced with the large number of virtual machine(VM)types offered by cloud providers,cloud users need to choose the most appropriat...Workflow scheduling is a key issue and remains a challenging problem in cloud computing.Faced with the large number of virtual machine(VM)types offered by cloud providers,cloud users need to choose the most appropriate VM type for each task.Multiple task scheduling sequences exist in a workflow application.Different task scheduling sequences have a significant impact on the scheduling performance.It is not easy to determine the most appropriate set of VM types for tasks and the best task scheduling sequence.Besides,the idle time slots on VM instances should be used fully to increase resources'utilization and save the execution cost of a workflow.This paper considers these three aspects simultaneously and proposes a cloud workflow scheduling approach which combines particle swarm optimization(PSO)and idle time slot-aware rules,to minimize the execution cost of a workflow application under a deadline constraint.A new particle encoding is devised to represent the VM type required by each task and the scheduling sequence of tasks.An idle time slot-aware decoding procedure is proposed to decode a particle into a scheduling solution.To handle tasks'invalid priorities caused by the randomness of PSO,a repair method is used to repair those priorities to produce valid task scheduling sequences.The proposed approach is compared with state-of-the-art cloud workflow scheduling algorithms.Experiments show that the proposed approach outperforms the comparative algorithms in terms of both of the execution cost and the success rate in meeting the deadline.展开更多
The aim was to explore the linear regression prediction models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. [Method] The relationships between sowing tim...The aim was to explore the linear regression prediction models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. [Method] The relationships between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum were simulated and compared by employing field plot experiment and linear regression analysis. [Result] The sowing time had a great impact on plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. With the delay of sowing time, the plant height and DW/FW ratio of forage sorghum decreased, while the leaf stem ratio increased. The regression models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum were established: plant height and sowing time, yheight = 234.725- 5.005X; leaf stem ratio and sowing time,ylcaf= 0.096 + 0,019x; DW/FW ratio and sowing time, ydry= 0.305-0.002X. From July 23rd to August 30th, the plant height of forage sorghum was reduced by 5.005 cm, the leaf stem ratio was increased by 0.019 and the DW/FW ratio was reduced by 0.002 in average when hhe sowing time was delayed by one day. [Conclusion] This study provides a theoretical support for the production of forage sorghum in autumn idle land.展开更多
Abstract-The development of asynchronous brain-computer interface (BCI) based on motor imagery (M1) poses the research in algorithms for detecting the nontask states (i.e., idle state) and the design of continuo...Abstract-The development of asynchronous brain-computer interface (BCI) based on motor imagery (M1) poses the research in algorithms for detecting the nontask states (i.e., idle state) and the design of continuous classifiers that classify continuously incoming electroencephalogram (EEG) samples. An algorithm is proposed in this paper which integrates two two-class classifiers to detect idle state and utilizes a sliding window to achieve continuous outputs. The common spatial pattern (CSP) algorithm is used to extract features of EEG signals and the linear support vector machine (SVM) is utilized to serve as classifier. The algorithm is applied on dataset IVb of BCI competition Ⅲ, with a resulting mean square error of 0.66. The result indicates that the proposed algorithm is feasible in the first step of the development of asynchronous systems.展开更多
[Objective]The aim was to establish the linear regression prediction models between sowing time and plant productivity, biological yield of forage sorghum in autumn idle land.[Method]The relationships between sowing t...[Objective]The aim was to establish the linear regression prediction models between sowing time and plant productivity, biological yield of forage sorghum in autumn idle land.[Method]The relationships between sowing time and plant productivity, biological yield of forage sorghum were simulated and compared by using field experiment and linear regression analysis.[Result] The sowing time had an important influence on the plant productivity and biological yield of forage sorghum in autumn idle land. The plant productivity and biological yield of forage sorghum both decreased with the delay of sowing time.The regression model between plant fresh weight and sowing time was ?fresh=0.618-0.015x; the regression model between plant dry weight and sowing time was ?dry=0.184-0.005x; and the regression model between biological yield and sowing time was yield=29 126.461-711.448x. During July 23rd to August 30th, when the sowing time was delayed by 1 day, the plant fresh weight of forage sorghum was reduced by 0.015 g, the plant dry weight was reduced by 0.005 g, and the yield was reduced by 711.448 kg/hm2. [Conclusion] The three regression models established in this study will provide theoretical support for the production of forage sorghum.展开更多
Taking the case of Enshi City,we survey the supply of public services in rural areas from education,health,culture and social security; reveal the relationship between the use of idle school buildings in rural areas a...Taking the case of Enshi City,we survey the supply of public services in rural areas from education,health,culture and social security; reveal the relationship between the use of idle school buildings in rural areas and the improvement of public services in rural areas. On the basis of expounding the status quo of idle school buildings and public services in rural areas of Enshi City,the following recommendations are put forward: using the idle school buildings to develop rural public education; using the idle school buildings to develop rural public health and medical services; using the idle school buildings to develop public cultural undertakings in rural areas; using the idle school buildings to develop social security undertakings in rural areas.展开更多
[Objective] This study was performed to explore the correlation between sowing time and biological yield of forage sorghum in autumn. [Method] In field trials,forage sorghum was sown on six different dates( July 23,Ju...[Objective] This study was performed to explore the correlation between sowing time and biological yield of forage sorghum in autumn. [Method] In field trials,forage sorghum was sown on six different dates( July 23,July 29,August 6,August 14,August 22 and August 30). Then,seedling emergence stage,jointing stage,booting stage,heading stage,filling stage,fresh weight and dry weight in each plot were observed or measured. Finally,linear regression analysis on these data was carried out to deduce the correlation between sowing date and biological yield of forage sorghum. [Result]Sowing time showed a significant influence on biological yield of forage sorghum in idle land,and the biological yield of forage sorghum linearly decreased with the postponement of sowing time. The relationship between sowing time and biological yield of forage sorghum can be represented by the regression equations y_(fresh)= 196. 646-4. 625 x and y_(dry)= 58. 253-1. 423 x,wherein,x is sowing date,y_(fresh)and y_(dry)are the fresh weight and dry weight of forage sorghum. On average,the fresh weight of forage sorghum was reduced by 4. 625 kg/20 m^2,and dry weight by 1. 423 kg/20 m^2,when the sowing date was delayed by one day from July 23 to August 30. [Conclusion]The regression models built in this study will provide a theoretical basis for improving the yield of forage sorghum in autumn idle land.展开更多
The existence of a large number of idle homesteads in rural areas not only causes waste of land resources,but also injures farmers' property rights and hinders the implementation of rural revitalization strategy. ...The existence of a large number of idle homesteads in rural areas not only causes waste of land resources,but also injures farmers' property rights and hinders the implementation of rural revitalization strategy. The emergence and vigorous development of rural leisure agriculture provides a new way of utilization and method for the development and utilization of rural homesteads. From the perspective of leisure agriculture,this paper analyzed the characteristics,advantages and disadvantages of the overall development model of rural idle homestead,farmstay model and characteristic industry development model,and discussed the actual case to enrich the research on the development and utilization of idle homestead. It pointed out that there are problems such as insufficient tourism resources and single management content,lack of legal basis for revitalizing the homestead,lagging reform of rural land property rights system,and difficulty in expanding the space for leisure tourism development in the process of developing rural idle homestead. It is recommended to provide reference for the effective improvement of the efficiency of idle homestead utilization,increase farmers' income,and promote the rural revitalization strategy.展开更多
文摘The paper sheds light on the idle lean blow off(LBO)problem for high fuel air ratio(FAR)com⁃bustor,which is impossible to be addressed with traditional aero combustor design.A significant improvement in aero combustor design is required to resolve the idle LBO issue.The authors detailed a practical and efficient solu⁃tion,which not only solved the idle LBO issue but also defined the aero-thermal design for high-FAR combustor.The design will usher in a new era of aero combustor.
文摘In order to improve the steady and dynamic characteristic of the idle speed control and study the performance of the fuzzy control method for the idle speed control, a fuzzy control system is developed to control the idle speed of gasoline engine. The construction and working principle of the fuzzy controller are described, and the design procedure of the fuzzy controller is given in detail. The control parameters are determined by computer simulation. The simulation and experiments on the engine test bench show that the idle speed is controlled accurately both in stationary and in dynamic states, and the fuzzy control method is robust to the changes of engine parameters.
基金National Hi-tech Research end Development Program of China (863 Program,No.2002AA501700,No.2003AA501012)
文摘A novel steady-state optimization (SSO) of internal combustion engine (ICE) strategy is proposed to maximize the efficiency of the overall powertrain for hybrid electric vehicles, in which the ICE efficiency, the efficiencies of the electric motor (EM) and the energy storage device are all explicitly taken into account. In addition, a novel idle optimization of ICE strategy is implemented to obtain the optimal idle operating point of the ICE and corresponding optimal parking generation power of the EM using the view of the novel SSO of ICE strategy. Simulations results show that potential fuel economy improvement is achieved relative to the conventional one which only optimized the ICE efficiency by the novel SSO of ICE strategy, and fuel consumption per voltage increment decreases a lot during the parking charge by the novel idle optimization of ICE strategy.
基金This project is supported by National Natural Science Foundation of China (No.59806007)
文摘A neural-network-based adaptive variable structure control methodology isproposed for the tracking problem of nonlinear discrete-time input-output systems. The unknowndynamics of the system are approximated via radial basis function neural networks. The control lawis based on sliding modes and simple to implement. The discrete-time adaptive law for tuning theweight of neural networks is presented using the adaptive filtering algorithm with residueupper-bound compensation. The application of the proposed controller to engine idle speed controldesign is discussed. The results indicate the validation and effectiveness of this approach.
基金Supported by Special Fund for Agro-scientific Research in the Public Interest-"Research and Demonstration of Forage&Feed Resources Development and Utilization Technology in Pasturing Areas"(20120304201)~~
文摘Objective] The alm was to study the high-yield cuItivation technique of fodder soybean(Glycine max (L.) Merr.) in autumn idIe Iand. [Methods] Such five in-fIuencing factors as Iine spacing, pIanting density, nitrogen (N), phosphorus (P) and potassium (K) of fodder soybean seeding in autumn idIe Iand were compared using orthogonal experiment method and LSD method of PASW 18 statistics software. [Results] The resuIts showed that density, Iine spacing and K2O had important ef-fects on bioIogical yield of fodder soybean in autumn idIe Iand. Moreover, the opti-mum proposal for high-yield matching cuItivation technique of fodder soybean in au-tumn idIe Iand was determined as foI ows: pIanting density was 75 ×104 pIants/hm2;300 kg/hm2 N, 112.5 kg/hm2 P2O5 and 375 kg/hm2 K2O were viewed as basic fertiIiz-ers; the seedIing styIe was sowing in driI with the Iine spacing of 50 cm. In the proposal, fresh and hay grass yields were 6 661.67 and 2 723.64 kg/hm2, respec-tiveIy, which increased by 24.17% and 27.63% respectiveIy compared to the second fine combination. [Conclusions] The resuIts provided a theoretical basis and technical support for the production of fodder soybean in autumn idIe Iand.
基金is with the School of Computing Science,Beijing University of Posts and Telecommunications,Beijing 100876,and also with the Key Laboratory of Trustworthy Distributed Computing and Service(BUPT),Ministry of Education,Beijing 100876,China(e-mail:zuoxq@bupt.edu.cn).supported in part by the National Natural Science Foundation of China(61874204,61663028,61703199)the Science and Technology Plan Project of Jiangxi Provincial Education Department(GJJ190959)。
文摘Workflow scheduling is a key issue and remains a challenging problem in cloud computing.Faced with the large number of virtual machine(VM)types offered by cloud providers,cloud users need to choose the most appropriate VM type for each task.Multiple task scheduling sequences exist in a workflow application.Different task scheduling sequences have a significant impact on the scheduling performance.It is not easy to determine the most appropriate set of VM types for tasks and the best task scheduling sequence.Besides,the idle time slots on VM instances should be used fully to increase resources'utilization and save the execution cost of a workflow.This paper considers these three aspects simultaneously and proposes a cloud workflow scheduling approach which combines particle swarm optimization(PSO)and idle time slot-aware rules,to minimize the execution cost of a workflow application under a deadline constraint.A new particle encoding is devised to represent the VM type required by each task and the scheduling sequence of tasks.An idle time slot-aware decoding procedure is proposed to decode a particle into a scheduling solution.To handle tasks'invalid priorities caused by the randomness of PSO,a repair method is used to repair those priorities to produce valid task scheduling sequences.The proposed approach is compared with state-of-the-art cloud workflow scheduling algorithms.Experiments show that the proposed approach outperforms the comparative algorithms in terms of both of the execution cost and the success rate in meeting the deadline.
文摘The aim was to explore the linear regression prediction models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. [Method] The relationships between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum were simulated and compared by employing field plot experiment and linear regression analysis. [Result] The sowing time had a great impact on plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. With the delay of sowing time, the plant height and DW/FW ratio of forage sorghum decreased, while the leaf stem ratio increased. The regression models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum were established: plant height and sowing time, yheight = 234.725- 5.005X; leaf stem ratio and sowing time,ylcaf= 0.096 + 0,019x; DW/FW ratio and sowing time, ydry= 0.305-0.002X. From July 23rd to August 30th, the plant height of forage sorghum was reduced by 5.005 cm, the leaf stem ratio was increased by 0.019 and the DW/FW ratio was reduced by 0.002 in average when hhe sowing time was delayed by one day. [Conclusion] This study provides a theoretical support for the production of forage sorghum in autumn idle land.
基金supported by the National Natural Science Foundation of China under Grant No. 30525030, 60736029, 60701015, and 30870655.
文摘Abstract-The development of asynchronous brain-computer interface (BCI) based on motor imagery (M1) poses the research in algorithms for detecting the nontask states (i.e., idle state) and the design of continuous classifiers that classify continuously incoming electroencephalogram (EEG) samples. An algorithm is proposed in this paper which integrates two two-class classifiers to detect idle state and utilizes a sliding window to achieve continuous outputs. The common spatial pattern (CSP) algorithm is used to extract features of EEG signals and the linear support vector machine (SVM) is utilized to serve as classifier. The algorithm is applied on dataset IVb of BCI competition Ⅲ, with a resulting mean square error of 0.66. The result indicates that the proposed algorithm is feasible in the first step of the development of asynchronous systems.
文摘[Objective]The aim was to establish the linear regression prediction models between sowing time and plant productivity, biological yield of forage sorghum in autumn idle land.[Method]The relationships between sowing time and plant productivity, biological yield of forage sorghum were simulated and compared by using field experiment and linear regression analysis.[Result] The sowing time had an important influence on the plant productivity and biological yield of forage sorghum in autumn idle land. The plant productivity and biological yield of forage sorghum both decreased with the delay of sowing time.The regression model between plant fresh weight and sowing time was ?fresh=0.618-0.015x; the regression model between plant dry weight and sowing time was ?dry=0.184-0.005x; and the regression model between biological yield and sowing time was yield=29 126.461-711.448x. During July 23rd to August 30th, when the sowing time was delayed by 1 day, the plant fresh weight of forage sorghum was reduced by 0.015 g, the plant dry weight was reduced by 0.005 g, and the yield was reduced by 711.448 kg/hm2. [Conclusion] The three regression models established in this study will provide theoretical support for the production of forage sorghum.
文摘Taking the case of Enshi City,we survey the supply of public services in rural areas from education,health,culture and social security; reveal the relationship between the use of idle school buildings in rural areas and the improvement of public services in rural areas. On the basis of expounding the status quo of idle school buildings and public services in rural areas of Enshi City,the following recommendations are put forward: using the idle school buildings to develop rural public education; using the idle school buildings to develop rural public health and medical services; using the idle school buildings to develop public cultural undertakings in rural areas; using the idle school buildings to develop social security undertakings in rural areas.
基金Supported by Special Fund for Agro-scientific Research in the Public Interest(20120304201)
文摘[Objective] This study was performed to explore the correlation between sowing time and biological yield of forage sorghum in autumn. [Method] In field trials,forage sorghum was sown on six different dates( July 23,July 29,August 6,August 14,August 22 and August 30). Then,seedling emergence stage,jointing stage,booting stage,heading stage,filling stage,fresh weight and dry weight in each plot were observed or measured. Finally,linear regression analysis on these data was carried out to deduce the correlation between sowing date and biological yield of forage sorghum. [Result]Sowing time showed a significant influence on biological yield of forage sorghum in idle land,and the biological yield of forage sorghum linearly decreased with the postponement of sowing time. The relationship between sowing time and biological yield of forage sorghum can be represented by the regression equations y_(fresh)= 196. 646-4. 625 x and y_(dry)= 58. 253-1. 423 x,wherein,x is sowing date,y_(fresh)and y_(dry)are the fresh weight and dry weight of forage sorghum. On average,the fresh weight of forage sorghum was reduced by 4. 625 kg/20 m^2,and dry weight by 1. 423 kg/20 m^2,when the sowing date was delayed by one day from July 23 to August 30. [Conclusion]The regression models built in this study will provide a theoretical basis for improving the yield of forage sorghum in autumn idle land.
基金Supported by Social Science Planning Project of Jiangxi Province(13GL42)Soft Science Project of Jiangxi Provincial Science and Technology Department(20141BBA10070&20141BBA10069)+2 种基金Science and Technology Research Project of Jiangxi Provincial Department of Education(GJJ14257)Project of Humanities and Social Science Foundation of Jiangxi Provincial Department of Education"The Guiding Mechanism and Policy Choice of Capital Management of Rural Land Management Rights in Jiangxi from the Perspective of Regional Differences"the Postgraduate Innovation Fund Project of Jiangxi Normal University in 2018"Evaluation and Policy Choice of Exit Mode of Right to Use Jiangxi Homestead under the Protection of Farmers'Rights and Interests"(YC2018-S174)
文摘The existence of a large number of idle homesteads in rural areas not only causes waste of land resources,but also injures farmers' property rights and hinders the implementation of rural revitalization strategy. The emergence and vigorous development of rural leisure agriculture provides a new way of utilization and method for the development and utilization of rural homesteads. From the perspective of leisure agriculture,this paper analyzed the characteristics,advantages and disadvantages of the overall development model of rural idle homestead,farmstay model and characteristic industry development model,and discussed the actual case to enrich the research on the development and utilization of idle homestead. It pointed out that there are problems such as insufficient tourism resources and single management content,lack of legal basis for revitalizing the homestead,lagging reform of rural land property rights system,and difficulty in expanding the space for leisure tourism development in the process of developing rural idle homestead. It is recommended to provide reference for the effective improvement of the efficiency of idle homestead utilization,increase farmers' income,and promote the rural revitalization strategy.