Ground target detection, classification and sensor fusion in distributed fiber seismic sensor network - art. no. 683015

This paper describes the ground target detection, classification and sensor fusion problems in distributed fiber seismic sensor network. Compared with conventional piezoelectric seismic sensor used in UGS, fiber optic sensor has advantages of high sensitivity and resistance to electromagnetic disturbance. We have developed a fiber seismic sensor network for target detection and classification. However, ground target recognition based on seismic sensor is a very challenging problem because of the non-stationary characteristic of seismic signal and complicated real life application environment. To solve these difficulties, we study robust feature extraction and classification algorithms adapted to fiber sensor network. An united multi-feature (UMF) method is used. An adaptive threshold detection algorithm is proposed to minimize the false alarm rate. Three kinds of targets comprise personnel, wheeled vehicle and tracked vehicle are concerned in the system. The classification simulation result shows that the SVM classifier outperforms the GMM and BPNN. The sensor fusion method based on D-S evidence theory is discussed to fully utilize information of fiber sensor array and improve overall performance of the system. A field experiment is organized to test the performance of fiber sensor network and gather real signal of targets for classification testing.

Cancer classification based on direction-basis-function neural networks

Automatic molecular classification of cancer based on DNA microarray has many advantages over conventional classification based on morphological appearance of the tumor. Using artificial neural networks is a general approach for automatic classification. In this paper, Direction-Basis-Function neuron and Priority-Ordered algorithm are applied to neural networks. And the leukemia gene expression dataset is used as an example to testify the classifier. The result of our method is compared to that of SVM. It shows that our method makes a better performance than SVM.

Seed bubbles stabilize flow and heat transfer in parallel microchannels

Seed bubbles are generated on microheaters located at the microchannel upstream and driven by a pulse voltage signal, to improve flow and heat transfer performance in microchannels. The present study investigates how seed bubbles stabilize flow and heat transfer in micro-boiling systems. For the forced convection flow, when heat flux at the wall surface is continuously increased, flow instability is self-sustained in microchannels with large oscillation amplitudes and long periods. Introduction of seed bubbles in time sequence improves flow and heat transfer performance significantly. Low frequency (similar to 10 Hz) seed bubbles not only decrease oscillation amplitudes of pressure drops, fluid inlet and outlet temperatures and heating surface temperatures, but also shorten oscillation cycle periods. High frequency (similar to 100 Hz or high) seed bubbles completely suppress the flow instability and the heat transfer system displays stable parameters of pressure drops, fluid inlet and outlet temperatures and heating surface temperatures. Flow visualizations show that a quasi-stable boundary interface from spheric bubble to elongated bubble is maintained in a very narrow distance range at any time. The seed bubble technique almost does not increase the pressure drop across microsystems, which is thoroughly different from those reported in the literature. The higher the seed bubble frequency, the more decreased heating surface temperatures are. A saturation seed bubble frequency of 1000-2000 Hz can be reached, at which heat transfer enhancement attains the maximum degree, inferring a complete thermal equilibrium of vapor and liquid phases in microchannels. Benefits of the seed bubble technique are the stabilization of flow and heat transfer, decreasing heating surface temperatures and improving temperature uniformity of the heating surface.

土壤种子库研究进展

在浏览国内外大量文献的基础上,从土壤种子库研究意义、国内外研究现状和目前研究的热点问题等方面论述土壤种子库的研究进展。针对目前土壤种子库研究的热点问题,主要从土壤种子库的分类、种子质量和种子休眠之间的关系、种子库的水平分布及种子库与地上植被的关系等方面进行讨论,指出其在遗传结构和扩散等研究内容及方法方面所存在的问题,并提出了相应的建议。

OPTICAL BISTABILITY IN A GAAS/GAALAS MULTI-QUANTUM-WELL (MQW) SELF-ELECTROOPTIC EFFECT DEVICE (SEED)

Based on a GaAs/GaAlAs MQW pin structure grown by a home-made MBE system, we have successfully fabricated a SEED. The optical bistability and related properties of the device under symmetric operation (S-SEED) and asymmetric operation are reported.

InGaAs/GaAs多量子阱SEED设计和特性研究

分析计算了InGaAs/GaAs多量子阱(SEED)的激子吸收行为,对器件的多量子阱及谐振腔结构进行了设计和理论分析, 用MOCVD系统生长了多量子阱外延材料,并且对器件的反射谱和光电流谱特性进行了测试。

InGaAs/GaAs多量子阱 SEED面阵结构特性与设计（英文）

讨论了谐振腔中的DBR对InGaAs/GaAs多量子阱SEED面阵光反射特性的影响。采用InGaAs/GaAs作为多量子阱SEED器件的有源区，从而获得了980nm工作波长。设计和分析了InGaAs/GaAs多量子阱SEED中的一种用于倒装焊的新型谐振腔结构。多量子阱材料是用MOCVD系统生长，利用微区光反射谱、PL谱以及X射线双晶衍射对多量子阱材料进行了测量和分析，测量结果表明多量子阱材料具有良好的质量，证明了器件结构的设计和分析是准确的。

Multiple Quantum Well SEED Arrays for Flip-Chip Bonding Optoelectronic Smart Pixels

于2010-11-23批量导入

GaAs/AlGaAs多量子阱FET-SEED灵巧象元

将GaAs/AlGaAs多量子阱光探测器、光调制器与GaAs场效应晶体管(FET)混合集成,构成FET-SEED灵巧像元光探测器和光调制器均为反射型自电光效应器件(SEED),光源为量子阱半导体激光器。光输入信号对光输出信号有明显的调制作用,可以导致光输出信号较大的变化。

Size and shape evolution of self-assembled coherent InAs/GaAs quantum dots influenced by seed layer

The size and shape Evolution of self-assembled InAs quantum dots (QDs) influenced by 2.0-ML InAs seed layer has been systematically investigated for 2.0, 2.5, and 2.9-ML deposition on GaAs(1 0 0) substrate. Based on comparisons with the evolution of InAs islands on single layer samples at late growth stage, the bimodal size distribution of InAs islands at 2.5-ML InAs coverage and the formation of larger InAs quantum dots at 2.9-ML deposition have been observed on the second InAs layer. The further cross-sectional transmission electron microscopy measurement indicates the larger InAs QDs: at 2.9-ML deposition on the second layer are free of dislocation. In addition, the interpretations for the size and shape evolution of InAs/GaAs QDs on the second layer will be presented. (C) 2001 Elsevier Science B.V. All lights reserved.

Flip-chip bonded hybrid CMOS/SEED optoelectronic smart pixels

Hybrid integration of GaAs/AlGaAs multiple quantum well self electro-optic effect device (SEED) arrays are demonstrated flip-chip bonded directly onto 1 mu m silicon CMOS circuits. The GaAs/AlGaAs MQW devices are designed for 850 nm operation. Some devices are used as input light detectors and others serve as output light modulators. The measurement results under applied biases show good optoelectronic characteristics of elements in SEED arrays. Nearly the same reflection spectrum is obtained for the different devices at an array and the contrast ratio is more than 1.2:1 after flip-chip bonding and packaging. The transimpedance receiver-transmitter circuit can be operated at a frequency of 300 MHz.