南京莫愁湖会所设计

我一直想在莫愁湖边上造一个房子，总算有了一个机会。但是，现场状况不太理想，房地产业已经从一侧包围了我们的湖面，使我们不得不在这个古典园林旁边做一个作风比较折衷的房子。好在面积不大，我们倔强的仍然是莫愁湖的尺度和周围的绿化景观。     

Springdale礁三分量地震资料的弹性偏移与反演

勘探专家们已经认识到S波在反射图象中表现为噪声。声波技术过去或现在都是为了考虑计算速度或因资料不全(即只有垂直分量的资料)而使用的。这里,我们介绍一种弹性反演技术.并且在礁勘探上说明了它的应用。由于资料中存在大量转换波,有偏VSP是需要弹性反演技术的极好例证。弹性反演技术也需要有好的横波速度。结果说明再作进一步的少量尝试是值得的。在所提出的例子中,我们开始看到礁体内的一些细节,而地面反射资料和VSP常规处理仅仅显示了盐B与碳酸盐A_2分界面上的特征。这个分界面并不是储层,而仅是与储层大致有关的。     

Mutual coherence function for a double-passage retroreflected optical wave in atmospheric turbulence

The mutual coherence function in the source-receiver plane of a reflected Gaussian beam wave from a retroreflector is calculated and analyzed for two refractive-index spectral models and compared with similar results for the case of a plane mirror. Specific expressions are calculated for the mean irradiance and spatial coherence radius based on a Gaussian model for the finite reflector. Results that we obtained here using a modified spectrum with a high wave-number rise and inner scale generally show greater amplitude enhancements in the reflected wave than predicted by the pure power-law spectrum of Kolmogorov. In contrast, a finite outer scale in the spectral model leads to a reduction in the amount of beam spreading caused by turbulence and, in the case of a retroreflector, also leads to a reduction in the peak amplitude enhancement on the optical axis. This last result is in contrast with a plane mirror reflector, in which outer scale effects tend to increase the peak amplitude enhancement on the optical axis. The theory also predicts that, except for small reflectors, the coherence radius associated with a retroreflector can be as much as 1.4 times larger than that associated with a plane mirror, and 1.2 times that of a bistatic configuration for a plane mirror. All calculations are based on weak fluctuation theory and generalized spectral representations that use complex ABCD ray matrices.     

Morphological resonances for multicomponent immunoassays

An immunoassay technique capable of detecting and identifying a number of species of microorganisms in a single analysis is described. The method uses optical-resonance size discrimination of microspheres to identify antibodies to which stained microorganisms are bound.     

Four-dimensional spectral-spatial imaging using projection reconstruction

An n-dimensional (n-D) filtered backprojection image reconstruction algorithm has been developed and used in the reconstruction of 4-D spectral-spatial magnetic resonance imaging (MRI) data. The algorithm uses n-1 successive stages of 2-D filtered backprojection to reconstruct an n-D image. This approach results in a reduction in computational time on the order of N(n-2) relative to the single-stage technique, where N(n) is the number of elements in an n-D image. The authors describe implementation of the algorithm, including digital filtering and sampling requirements. Images obtained from simulated data are presented to illustrate the accuracy and potential utility of the technique.     

Differentiation applied to lossless compression of medical images

Lossless compression of medical images using a proposed differentiation technique is explored. This scheme is based on computing weighted differences between neighboring pixel values. The performance of the proposed approach, for the lossless compression of magnetic resonance (MR) images and ultrasonic images, is evaluated and compared with the lossless linear predictor and the lossless Joint Photographic Experts Group (JPEG) standard. The residue sequence of these techniques is coded using arithmetic coding. The proposed scheme yields compression measures, in terms of bits per pixel, that are comparable with or lower than those obtained using the linear predictor and the lossless JPEG standard, respectively, with 8-b medical images. The advantages of the differentiation technique presented here over the linear predictor are: 1) the coefficients of the differentiator are known by the encoder and the decoder, which eliminates the need to compute or encode these coefficients, and 21 the computational complexity is greatly reduced. These advantages are particularly attractive in real time processing for compressing and decompressing medical images.