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Urban-scale SALSCS, Part II: A Parametric Study of System Performance 期刊论文  OAI收割
AEROSOL AND AIR QUALITY RESEARCH, 2018, 卷号: 18, 期号: 11, 页码: 2879-2894
作者:  
Pui, DYH (Pui, David Y. H.)[ 1,2,4 ];  Cao, JJ (Cao, Junji)[ 3 ];  Tao, WQ (Tao, Wen-Quan)[ 2 ];  Shen, L (Shen, Lian)[ 1 ];  Kuehn, TH (Kuehn, Thomas H.)[ 1 ]
  |  收藏  |  浏览/下载:66/0  |  提交时间:2018/11/21
Urban-scale SALSCS, Part II: A Parametric Study of System Performance 期刊论文  OAI收割
AEROSOL AND AIR QUALITY RESEARCH, 2018, 卷号: 18, 期号: 11, 页码: 2879-2894
作者:  
Shen, L (Shen, Lian)[ 1 ];  Cao, JJ (Cao, Junji)[ 3 ];  Tao, WQ (Tao, Wen-Quan)[ 2 ];  Pui, DYH (Pui, David Y. H.)[ 1,2,4 ];  Cao, QF (Cao, Qingfeng)[ 1 ]
  |  收藏  |  浏览/下载:30/0  |  提交时间:2018/11/21
Micro-electro-mechanical systems capacitive ultrasonic transducer with a higher electromechanical coupling coefficient 期刊论文  OAI收割
Micro & Nano Letters, 2015, 卷号: 10, 期号: 10, 页码: 4
作者:  
Miao, J(苗静);  Shen, WJ(沈文江);  He, CD;  Xue, CY;  Xiong, JJ
收藏  |  浏览/下载:86/0  |  提交时间:2015/12/31
silicon  elemental semiconductors  silicon-on-insulator  wafer bonding  electromechanical effects  ultrasonic transducers  capacitive transducers  micromechanical devices  micromachining  vibrations  membranes  finite element analysis  reliability  capacitance  electromechanical coupling coefficient  capacitive micromachined ultrasonic transducer  impedance matching  propagation medium  microelectromechanical system capacitive ultrasonic transducer  silicon on insulator  wafer bonding  optimum geometric dimensions  membrane mechanical vibration  electrical characteristics  finite-element analysis  operation mode  device safety  device reliability  equivalent stress  operation-collapse voltage  bottom electrodes  glass substrate surface  parallel parasitic capacitance  Si  SiO2  
Some observations on the size effects in nanotwined metals and their theoretical explanation 会议论文  OAI收割
23rd International Congress of Theoretical and Applied Mechanics, 中国北京/Beijing, China, 2012-08-19
作者:  
Wei YJ(魏宇杰)
收藏  |  浏览/下载:14/0  |  提交时间:2014/04/02
Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE) 会议论文  OAI收割
2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China
作者:  
Wang D.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
In feature-level fusion recognition system  the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general  there are two main missions. One is improving the recognition correct rate as soon as possible  the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions  this paper presents a more rational and accurate optimization  Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition  we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last  we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points  while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.  
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.; Ma D.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task  for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type  the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP  but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly  we use frame grabber to capture the 4-bar target image data. Then according to image gray scale  we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets  along with known target visibility  are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm  demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.  
THEORY OF THE EXTENDED HUBBARD-MODEL AT HALF FILLING 期刊论文  OAI收割
PHYSICAL REVIEW B, 1993, 卷号: 48, 期号: 10, 页码: 7140
YAN, XZ
收藏  |  浏览/下载:22/0  |  提交时间:2013/09/23
ELECTRIC-FIELD EFFECT ON THE FRACTIONAL QUANTUM HALL CONDUCTIVITY 期刊论文  OAI收割
COMMUNICATIONS IN THEORETICAL PHYSICS, 1992, 卷号: 17, 期号: 3, 页码: 269-274
CAI, J; LEI, XL(雷啸霖); SHEN, SQ
收藏  |  浏览/下载:19/0  |  提交时间:2012/03/25