With the increasing requirement of a higher living quality and the growing awareness of energy saving, how to improve the indoor comfort level and to reduce the expenditure of energy and slow down the rate of natural ...With the increasing requirement of a higher living quality and the growing awareness of energy saving, how to improve the indoor comfort level and to reduce the expenditure of energy and slow down the rate of natural resource consumption is becoming increasingly important. The theory of open-plan housing is able to provide a more flexible and adaptive space for the users and bring sustainable and economic benefit in the way of making full use of construction materials. Sustainable architecture design, as a method to respond the phenomenon, is able to low down the building＇ s energy consumption and has enormous potentials in creation of sustainable living environment and a high-quality dwelling condition. The primary aim of this research is to create a new sustainable architecture design method for occupancy by integrating openplan housing theory and application of sustainable technologies. Numerical simulation by computer program is applied in order to investigate and evaluate the possibility of this method in teruas of improving indoor comfort level and energy-saving capacity.展开更多
This paper discusses a design method for the control system of a weigh feeder that supplies powder and granular material at a constant rate. Most weigh feeders employed in industry are controlled by proportional and i...This paper discusses a design method for the control system of a weigh feeder that supplies powder and granular material at a constant rate. Most weigh feeders employed in industry are controlled by proportional and integral （PI） compensation, and the control performance is decided by the selection of parameters. To attain advanced control performance by PI control, the PI parameters are designed on the basis of generalized minimum variance control （GMVC）. In this study, to achieve user-specified control performance by GMVC-based PI control, the design parameters of GMVC are automatically adjusted using a performance-adaptive method. The control performance discussed in this study consists of the variance of the control error and that of the difference in the control input. In a conventional performance-adaptive method, the variance of the control error is reduced. In this study, to reduce energy consumption and to achieve user-specified control performance, the variance of the difference in the control input is specified and the design parameter is determined. To demonstrate its effectiveness, the proposed method is applied to an actual weigh feeder.展开更多
In this paper,we introduce a novel approach to automatically regulate receptive fields in deep image parsing networks.Unlike previous work which placed much importance on obtaining better receptive fields using manual...In this paper,we introduce a novel approach to automatically regulate receptive fields in deep image parsing networks.Unlike previous work which placed much importance on obtaining better receptive fields using manually selected dilated convolutional kernels,our approach uses two affine transformation layers in the network’s backbone and operates on feature maps.Feature maps are inflated or shrunk by the new layer,thereby changing the receptive fields in the following layers.By use of end-to-end training,the whole framework is data-driven,without laborious manual intervention.The proposed method is generic across datasets and different tasks.We have conducted extensive experiments on both general image parsing tasks,and face parsing tasks as concrete examples,to demonstrate the method’s superior ability to regulate over manual designs.展开更多
文摘With the increasing requirement of a higher living quality and the growing awareness of energy saving, how to improve the indoor comfort level and to reduce the expenditure of energy and slow down the rate of natural resource consumption is becoming increasingly important. The theory of open-plan housing is able to provide a more flexible and adaptive space for the users and bring sustainable and economic benefit in the way of making full use of construction materials. Sustainable architecture design, as a method to respond the phenomenon, is able to low down the building＇ s energy consumption and has enormous potentials in creation of sustainable living environment and a high-quality dwelling condition. The primary aim of this research is to create a new sustainable architecture design method for occupancy by integrating openplan housing theory and application of sustainable technologies. Numerical simulation by computer program is applied in order to investigate and evaluate the possibility of this method in teruas of improving indoor comfort level and energy-saving capacity.
文摘This paper discusses a design method for the control system of a weigh feeder that supplies powder and granular material at a constant rate. Most weigh feeders employed in industry are controlled by proportional and integral （PI） compensation, and the control performance is decided by the selection of parameters. To attain advanced control performance by PI control, the PI parameters are designed on the basis of generalized minimum variance control （GMVC）. In this study, to achieve user-specified control performance by GMVC-based PI control, the design parameters of GMVC are automatically adjusted using a performance-adaptive method. The control performance discussed in this study consists of the variance of the control error and that of the difference in the control input. In a conventional performance-adaptive method, the variance of the control error is reduced. In this study, to reduce energy consumption and to achieve user-specified control performance, the variance of the difference in the control input is specified and the design parameter is determined. To demonstrate its effectiveness, the proposed method is applied to an actual weigh feeder.
基金supported by the National Natural Science Foundation of China (Nos.U1536203,61572493)the Cutting Edge Technology Research Program of the Institute of Information Engineering,CAS (No.Y7Z0241102)+1 种基金the Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of the Ministry of Education (No.Y6Z0021102)Nanjing University of Science and Technology (No.JYB201702)
文摘In this paper,we introduce a novel approach to automatically regulate receptive fields in deep image parsing networks.Unlike previous work which placed much importance on obtaining better receptive fields using manually selected dilated convolutional kernels,our approach uses two affine transformation layers in the network’s backbone and operates on feature maps.Feature maps are inflated or shrunk by the new layer,thereby changing the receptive fields in the following layers.By use of end-to-end training,the whole framework is data-driven,without laborious manual intervention.The proposed method is generic across datasets and different tasks.We have conducted extensive experiments on both general image parsing tasks,and face parsing tasks as concrete examples,to demonstrate the method’s superior ability to regulate over manual designs.
