基于遥感线性构造等密度图的姑婆山花岗岩体单元划分

采用姑婆山地区ETM＋遥感影像数据,运用ENVI进行图像预处理、MapGIS提取花岗岩体线性构造信息,制作出线性构造等密度图及线性构造走向-密度玫瑰花图。结果表明：姑婆山在NE和NW两个方位区域的线性构造为优势方向线性构造;姑婆山岩体的线性构造密度呈双环带分布,一是以里松单元为低值中心向外递增的环带状分布,二是以新路单元为高值中心向外递减的环带状分布。不同的密度区与姑婆山花岗岩体单元的划分存在对应关系。     

使用ObjectARX实现自动检查点线矛盾

地形图点线矛盾检查是一项费时费力的工作，本文探讨了一种用程序自动检查的高质高效的方法。     

Te Kopia geothermal system (New Zealand) — the relationship between its structure and extent

The Te Kopia geothermal system is one of several high-temperature systems in the Taupo Volcanic Zone (TVZ) of New Zealand. It is located along the Paeroa Fault Zone, a major active fault system trending NE in the central TVZ. Three independent studies, i.e. resistivity survey, magnetic interpretation, and detailed topographic analysis of faults and fractures, indicate the existence of another fault system, trending NW, that also significantly influences the Te Kopia geothermal system. Results from these studies also show that, at Te Kopia, a resistivity low and hydrothermally demagnetised rocks (both are indicators of a geothermal reservoir in volcanic rocks) clearly coincide with a zone of high fault and fracture density. Hence, the Te Kopia field is a good example of the significant influence that geological structures (major fault systems) have on the extent of a geothermal reservoir, by creating zones of fractured rocks that provide permeable paths for thermal fluids.     

Mapping multi-class cancers and clinical outcomes prediction for multiple classifications of microarray gene expression data

DNA microarray analysis of gene expression is useful for discriminating between the various subtypes of cancer, which is necessary for the accurate diagnosis and treatment of patients. Particularly, assigning biological samples into subclasses or obtaining detailed phenotypes is an important practical application for microarray gene expression profiles. In the present study, a hierarchical framework of a nonlinear mapping classification was developed for elucidating data and classifying multiclass cancers based on microarray data sets. This classification maps the gene expression profiles of multi-class cancers to the visualized latent space and predicts the clinical output through high-dimensional computational biology. The proposed method was used to interpret and analyze four leukemia subtypes from microarray data. The results demonstrate that, using a high-dimensional nonlinear mapping to extract biological insights from microarray data, the proposed method can identify leukemia subtypes on the basis of molecular-level monitoring and improve the interpretability of leukemia clinical outputs. Furthermore, this nonlinear mapping of cancer subtypes is used to establish a relationship between expression-based subclasses of leukemia tumors and leukemia patient treatment outcomes. The proposed method may be used to guide efficient and effective approaches for the treatment of leukemia subclasses.     

拓扑独立分量分析在方言特征提取中的应用研究

将基于Mel频率域能量(简称Mel能量)的拓扑独立分量分析算法(ME—TICA)用于方言特征提取。拓扑独立分量分析(11CA)算法能够实现同组信号之间存在高阶相关性时的盲分离,ME—TICA算法在保留这种性能的基础上,引入Mel能量相关的概念来体现人类听觉特征,实现了从无标注的方言语句集中提取包含基音频率和调长两种指标的方言声调特征。文中设计了完整的特征提取过程。英语和汉语两种方言特征提取和识别的仿真实验验证了ME—TICA算法所提取的方言特征具有精度高和鲁棒性强的优势。     

Seeing things: Inventive reasoning with geometric analogies and topographic maps

This paper examines two seemingly unrelated qualitative spatial reasoning domains; geometric proportional analogies and topographic (land-cover) maps. We present a Structure Matching algorithm that combines Gentner’s structuremapping theory with an attributematching process. We use structure matching to solve geometric analogy problems that involve manipulating attribute information, such as colors and patterns. Structure matching is also used to creatively interpret topographic (land-cover) maps, adding a wealth of semantic knowledge and providing a far richer interpretation of the raw data. We return to the geometric proportional analogies, identify alternate attribute matching processes that are required to solve different categories of problems. Finally, we assess some implications for computationally creative and inventive models. Diarmuid P. O’Donoghue, Ph.D.: He received his B.Sc. and M.Sc. from University College Cork in 1988 and 1990, and his Ph.D. from University College Dublin. He has been a lecturer at the Department of Computer Science NUI Maynooth since 1996 and is also an associate of the National Centre for Geocomputation. His interests are in artificial intelligence, analogical reasoning, topology, and qualitative spatial reasoning. Amy Bohan, B.Sc, M.Sc.: She received her B.Sc. from the National University of Ireland, Maynooth in 2000. She received her M.Sc. in 2003 from University College Dublin where she also recently completed her Ph.D. She is a member of the Cognitive Science society. Her interests are in cognitive science, analogical argumentation, geometric proportional analogies and computational linguistics. Prof. Mark T. Keane: He is Chair of Computer Science and Associate Dean of Science at University College Dublin. He is also Director of ICT, at Science Foundation Ireland. Prof. Keane has made significant contributions in the areas of analogy, case-based reasoning and creativity. He has published over 100 publications, including 16 books, that are cited widely. He is co-author of a Cognitive Science textbook, written with Mike Eysenck (University of London) that has been translated into Portuguese, Hungarian, Italian and Chinese and is now entering its fifth edition. Prof. Keane is a fellow of ECCAI (European Co-ordinating Committee on Artificial Intelligence) and received the Special Award for Merit from the Psychology Society of Ireland, for his work on human creativity.     

Spatial inference with geometric proportional analogies

We describe an instance-based reasoning solution to a variety of spatial reasoning problems. The solution centers on identifying an isomorphic mapping between labelled graphs that represent some problem data and a known solution instance. We describe a number of spatial reasoning problems that are solved by generating non-deductive inferences, integrating topology with area (and other) features. We report the accuracy of our algorithm on different categories of spatial reasoning tasks from the domain of Geographical Information Science. The generality of our approach is illustrated by also solving geometric proportional (IQ-test type) analogy problems.     

Topographic effects on adhesive force mapping of stretched DNA molecules by pulsed-force-mode atomic force microscopy

Adhesive interaction between a tip and a sample surface was examined on a microscopic scale by pulsed-force-mode atomic force microscopy (PFM-AFM). The signal measured by monitoring pull-off force is influenced by various factors such as topography, elasticity, electrostatic charges, and adsorbed water on surfaces. Here, we focus on the topographic effects on the adhesive interaction. To clarify the topographic influence, the adhesive force measurement of a stretched DNA molecule with a smaller radius of curvature than that of a tip was carried out at low relative humidity (RH) with an alkanethiol-modified tip. The experimental conditions such as low RH and the use of the alkanethiol-modified tip were required to minimise the influence of water capillary force on hydrated DNA strands. The hydrophobic modification of a substrate surface was also important to minimise the adsorbed water effect. The DNA molecules were stretched on the substrate surfaces by an immobilisation process called a dynamic molecular combing method. The two-component vapour-phase surface modification with an alkylsilane mixed with a silane derivative containing an amino end group enhanced the DNA adsorption due to the electrostatic interaction. The experimental results for the topographic effects on the adhesive force mapping were reproducible.     

万安水库泥沙淤积分析

依据万安水库库区9个断面历年实测大断面资料以及万安水库坝址上下游5个水文站实测泥沙资料,分别采用地形对比法和沙量平衡法对库区泥沙淤积情况进行了分析计算,提出了万安水库泥沙淤积形态、淤积量、分布等结论.