用于多普勒测风雷达的单频全固态激光器稳频

采用Pound-Drever-Hall技术，对用于多普勒测风雷达的种子注入激光器的主动激光器进行稳频，将其频率锁定在一个特殊设计的法珀腔上。该法珀腔总体采用零膨胀微晶玻璃材料制成，具有极高的温度稳定性。使用计算机采集鉴频信号并且进行处理。锁定后，1秒内激光器的相对频率漂移为±25kHz，一小时内的相对频率漂移为±55kHz，满足多普勒测风雷达的要求。

基于PowerPC的嵌入式计算机的研究与开发

嵌入式计算机在通信设备、军事、航空航天等领域有着广泛的应用。高端嵌入式计算机平台的国产化，对促进国内计算机系统向高性能、实时性、低功耗的方向发展，具有重要的意义和军事、民用应用价值。跟踪国外高端嵌入式计算机的发展，研究和研制更能适合我国实际系统需要的高端嵌入式计算机是本科题研究的主要内容。为了更及时的跟踪国外技术的发展，本文研究的侧重点在于如何利用国外的微处理器芯片，开发满足我国特殊需求的嵌入式计算机平台。 本文在分析国内嵌入式计算机特殊需求的基础上，在国内首次提出了基于PowerPC G4的高性能、宽温、低功耗嵌入式计算机的解决方案。研制具有自主知识产权的产品，填补国内在这一应用领域的空白。 如何从硬件设计、底层软件和结构等方面提高嵌入式计算机的高可靠性设计是本文研究的一项重要内容。在硬件设计的基础上，讨论了如何利用边界扫描BIT技术进行板级BIST设计的方法。为了提高设计的效率和一次成功率，如何通过仿真分析方法对嵌入式计算机进行了预设计是本文研究的另一项重要内容。为此，本文在硬件设计过程中分析了高端嵌入式计算机PCB设计中的关键网络，通过SI仿真分析方法，结合Cadence PCB工具，解决了信号完整性和电源完整性等问题。结合所设计的硬件系统，完成底层软件移植和驱动开发和系统的软硬件调试，解决调试中遇到的问题也是嵌入式计算开发过程的一项重要内容。本文利用BDI2000仿真器和Tornado开发环境完成了这一过程。 本论文提出的基于PowerPC的嵌入式计算机采用的是CPCI总线架构，包含多种外部接口，所设计和实现的系统能满足海量运算需求，具有高可靠性、强扩展性和实时性。具有较好的应用前景。

城市交通中车队状态观测器的一种新算法

本文阐述了离散时间点过程理论,时变马尔科夫链及鞅差分序列在城市交通车队状态观测器中的应用。并在此基础上,改进了[5]中的估计算法。用本文提出的非线性最小方差估计算法,对提供的交通状态进行估计,所得结果比[5]中算法精度有明显提高。在大连市某交通干线计算机控制系统中初步应用,取得了令人满意的结果。

火成岩储层裂缝识别、预测理论与方法研究－以济阳坳陷火成岩油藏为例

Since 1970s, igneous reservoirs such as Shang741, Bin674 and Luol51 have been found in Jiyang depression, which are enrichment and heavy-producing. Showing good prospect of exploration and development, igneous reservoirs have been the main part of increasing reserves and production in Shengli oilfield. As fracture igneous reservoir being an extraordinary complex concealed reservoir and showing heavy heterogeneity in spatial distribution, the study of recognition, prediction, formation mechanism and the law of distribution of fracture is essential to develop the reservoir. Guided by multiple discipline theory such as sedimentology, geophysics, mineralogy, petroleum geology, structural geology and reservoir engineering, a set of theories and methods of recognition and prediction of fractured igneous rock reservoir are formed in this paper. Rock data, three-dimensional seismic data, log data, borehole log data, testing data and production data are combined in these methods by the means of computer. Based on the research of igneous rock petrography and reservoir formation mechanism, emphasized on the assessment and forecast of igneous rock reservoir, aimed at establishing a nonhomogeneity quantification model of fractured igneous rock reservoir, the creativity on the fracture recognition, prediction and formation mechanism are achieved. The research result is applied to Jiyang depression, suggestion of exploration and development for fractured igneous rock reservoir is supplied and some great achievement and favourable economic effect are achieved. The main achievements are gained as follows: 1. The main facies models of igneous rock reservoir in JiYang depression are summarized. Based on data and techniques of seism, well log and logging,started from the research of single well rock facies, proceeded by seismic and log facies research, from point to line and line to face, the regional igneous facies models are established. And hypabyssal intrusion allgovite facies model, explosion volcaniclastic rock facies model and overfall basaltic rocks facies model are the main facies models of igneous rock reservoir in JiYang depression. 2. Four nonhomogenous reservoir models of igneous reservoirs are established, which is the base of fracture prediction and recognition. According to characteristics of igneous petrology and spatial types of reservoir, igneous reservoirs of Jiyang depression are divided into four categories: fractured irruptive rock reservoir, fracture-pore thermocontact metamorphic rock and irruptive rock compound reservoir, pore volcanic debris cone reservoir and fracture-pore overfall basaltic rock reservoir. The spatial distribution of each model's reservoir has its features. And reservoirs can be divided into primary ones and secondary ones, whose mechanism of formation and laws of distribution are studied in this paper. 3. Eight geologic factors which dominate igneous reservoirs are presented. The eight geologic factors which dominates igneous reservoirs are igneous facies, epigenetic tectonics deformation, fracture motion, intensity of intrusive effect and adjoining-rock characters, thermo-contact metamorphic rock facies, specific volcano-tectonic position, magmatic cyclicity and epigenetic diagenetic evolution. The interaction of the eight factors forms the four types nonhomogenous reservoir models of igneous reservoirs in Jiyang depression. And igneous facies and fracture motion are the most important and primary factors. 4. Identification patterns of seismic, well log and logging facies of igneous rocks are established. Igneous rocks of Jiyang depression show typical reflecting features on seismic profile. Tabular reflection seismic facies, arc reflection seismic facies and hummocky or mushroom reflection seismic facies are the three main facies. Logging response features of basic basalt and diabase are shown as typical "three low and two high", which means low natural gamma value, low interval transit-time, low neutron porosity, high resistivity and high density. Volcaniclastic rocks show "two high and three low"-high neutron porosity, high interval transit-time, low density, low-resistance and low natural gamma value. Thermo-contact metamorphic rocks surrounding to diabase show "four high and two low" on log data, which is high natural gamma value, high self-potential anomaly, high neutron porosity, high interval transit-time and low density and low-resistance. Based on seismic, well log and logging data, spatial shape of Shang 741 igneous rock is described. 5. The methods of fracture prediction and recognition for fractured igneous reservoir are summarized. Adopting FMI image log and nuclear magnetic resonance log to quantitative analysis of fractured igneous reservoir and according to formation mechanism and shape of fracture, various fractures are recognized, such as high-angle fracture, low-angle fracture, vertical fracture, reticulated fracture, induced fracture, infilling fracture and corrosion vug. Shang 741 intrusive rock reservoir can be divided into pore-vug compound type, pore fracture type, micro-pore and micro-fracture type. Physical properties parameters of the reservoir are computed and single-well fracture model and reservoir parameters model are established. 6. Various comprehensive methods of fracture prediction and recognition for fractured igneous reservoir are put forward. Adopting three-element (igneous facies, fracture motion and rock bending) geologic comprehensive reservoir evaluation technique and deep-shallow unconventional laterolog constrained inversion technique, lateral prediction of fractured reservoir such as Shang 741 is taken and nonhomogeneity quantification models of reservoirs are established.

金钱启动与道德的关系及道德认同的调节

In this article, we begin from the research about how money influences the behavior of people, and try to discuss how money influences people's moral judgment on the five degrees of morality (harm/care, fairness/reciprocal, loyalty/in-group, authority/respect, purity/sanctity). Meanwhile, we try to discuss whether the money priming is based on the mechanism of competition priming. Besides that, we want to find out whether moral identification and positive vocabulary could rescue the change of moral judgment after money priming. The money priming in this research is based on picture priming and syntax priming; the competition priming and moral identification priming are based on imagination priming. We chose the undergraduate, graduate student and adult as sample, combined the scale investigation with computer based experiment. This research contains five standard case experiments, which form three. Based on all the research above, we have some conclusions: 1. Money priming has impacts on moral judgment, which are not consistent on different degree of morality. But the total effect of money priming is that it changes moral judgment to a worse state. 2. Money priming is not complete competition priming, but social value orientation (including competition orientation) could mediate the influence of money priming on moral judgment. Generally, people with personal orientation or competition orientation could be influenced more easily by money priming. 3. After money priming, the moral judgment could be influence by moral identification and positive vocabulary. In all, both the moral judgment and positive vocabulary could make the moral judgment to a better state. But the function of them may be different, moral identification is more related to moral cognition and positive vocabulary is more related to moral emotional regulation. This research is based on priming method, and supports the money influence on psychology, the concept of morality and moral identification with experimental evidence. Also this research discusses the measurement of morality.

Spatial-temporal characteristics of siping urban expansion based on remote sensing and GIS

Based on the RS and GIS methods, Siping city is selected as a study case with four remote sensing images in 25 years. Indices of urban morphology such as fractal dimension and compactness are employed to research the characteristics of urban expansion. Through digital processing and interpreting of the images, the process and characteristics of urban expansion are analysed using urban area change, fractal dimension and compactness. The results showed that there are three terms in this period. It expended fastest in the period of 1979~1991, and in the period of 1992~2001, the emphases on urban redevelopment made it expended slower. And this is in agreement with the Siping Statistical Yearbook. This indicates that the united of metrics of urban morphology and statistical data can be used to satisfactorily describe the process and characteristics of urban expansion. © 2008 IEEE.

An in silico approach for screening flavonoids as P-glycoprotein inhibitors based on a Bayesian-regularized neural network

P-glycoprotein (P-gp), an ATP-binding cassette (ABC) transporter, functions as a biological barrier by extruding cytotoxic agents out of cells, resulting in an obstacle in chemotherapeutic treatment of cancer. In order to aid in the development of potential P-gp inhibitors, we constructed a quantitative structure-activity relationship (QSAR) model of flavonoids as P-gp inhibitors based on Bayesian-regularized neural network (BRNN). A dataset of 57 flavonoids collected from a literature binding to the C-terminal nucleotide-binding domain of mouse P-gp was compiled. The predictive ability of the model was assessed using a test set that was independent of the training set, which showed a standard error of prediction of 0.146 +/- 0.006 (data scaled from 0 to 1). Meanwhile, two other mathematical tools, back-propagation neural network (BPNN) and partial least squares (PLS) were also attempted to build QSAR models. The BRNN provided slightly better results for the test set compared to BPNN, but the difference was not significant according to F-statistic at p = 0.05. The PLS failed to build a reliable model in the present study. Our study indicates that the BRNN-based in silico model has good potential in facilitating the prediction of P-gp flavonoid inhibitors and might be applied in further drug design.