Extracting common design patterns from a set of solid models

In mechanical design, designers often consciously or unconsciously create some engineering-rich local shape structures repeatedly in parts by combining regular design features. Identification of these local structures with high appearance frequencies is helpful for design-rule mining, design feature library customization and model data compression. In this paper, an approach is developed for extracting common local structures as design patterns from a set of B-rep models. Here, B-rep models are first transformed into a representation of Volume Relational Graphs (VRG), in which each volume is generated from a face shell in a boundary partition of a solid along specially selected cutting loops. Then, two kinds of code, Face Shape Code (FSC) and Face Location Code (FLC), are introduced to describe shapes of the volumes. After this, based on equality of the codes between volumes, isomorphic subgraphs among VRGs are identified as design patterns with a greedy search method, whose objective is to find precise expressions in the patterns for the original solid models.     

The Structure of a Semantic Neural Network Extracting the Meaning from a Text

A clocked linear tree is considered as the structure of connections between neurons of a semantic neural network that can extract the meaning from a text on a real-time basis. The process of extracting the meaning from a text in a natural language is represented by the propagation of waves of neuron activity through the semantic neural network, and the meaning itself is represented by the state of the network.     

Construction of Shapes Arising from the Minkowski Problem Using a Level Set Approach

The Minkowski problem asks a fundamental question in differential geometry whose answer is not only important in that field but has real world applications as well. We endeavor to construct the shapes that arise from the Minkowski problem by forming a PDE that flows an initial implicitly defined hypersurface to an approximation of the shape under the level set framework. Tools and ideas found in the various applications of level set methods are gathered to generate this PDE. Numerically, its solution is determined by incorporating high order finite difference schemes over the uniform grid available in the framework. Finally, we use our approach in various test cases to generate various shapes arising from different given data in the Minkowski problem.     

Reconstruction of a Word from a Finite Set of its Subwords under the unit Shift Hypothesis. I. Reconstruction without for Bidden Words1

The problem of reconstruction of a word from a set of its subwords is considered. It is assumed that the set is generated by unit shifts of a fixed window along an unknown word. For the problem without constrains on the unknown word, a method of reconstruction is proposed based on the search for Euler paths or Euler cycles in a de Bruijn multidigraph. The search is based on symbolic multiplication of adjacency matrices with special operations of multiplication and addition of edge names. The method makes it possible to find reconstructed words and the number of reconstructions.     

基于移动IP实现无线自组网络的接入分析

本文首先分析了移动IP技术在无线自组网络中的工作原理，然后探讨一种将自组网技术和移动IP技术融合的无线移动网络体系结构．并分析了其工作过程和服务性能。     

基于移动IP实现无线自组网络的接入分析

本文首先分析了移动IP技术在无线自组网络中的工作原理,然后探讨一种将自组网技术和移动IP技术融合的无线移动网络体系结构,并分析了其工作过程和服务性能。     

Extracting discriminative information from the Padé-Z-transformed responses of a temperature-modulated chemoresistive sensor for gas recognition

The response patterns of a temperature-modulated chemoresistive gas sensor were transformed to multi-exponential functions which facilitated the extraction of their discriminative features for gas diagnosis. The patterns were generated for air contaminated with different concentrations of various volatile organic compounds by applying a staircase heating voltage waveform to the microheater of a tin oxide-based sensor that modulated its operating temperature in the 50–400 °C range. Padé-Z transform was utilized for the transformation, and a novel heuristic procedure facilitated the extraction of the components of the feature vectors from the transformed data. These vectors were classified by the available techniques. The method differentiated the patterns generated for methanol, ethanol, 1-propanol, 1-butanol, and acetone contaminations in the wide concentration range examined. The method was also used to separately estimate the amount of the discriminative information in various steady state and transient response features; the results are anticipated to help design more elaborate temperature-modulated sensors for gas diagnosis.     

基于真实欧美软件外包项目的学期项目设计与实施

基于CDIO工程教育理念,选择一个真实的欧美软件外包项目,按照软件工程的特点,贯穿苏州工业园区服务外包职业学院软件技术专业.NET方向的课程体系和技能点要求,对项目过程和项目文档进行适度剪裁和改造后,设计和实施学期项目,从而让学生体验从产品研发到产品运行的整个生命周期,综合应用所学知识,并熟练掌握软件项目开发的所需技能。     

HTS Automation Study: Results from a 2001 Survey of the Current vs. Desired State of HTS Automation

A survey of directors of screening organizations was conducted in 2001 to evaluate their perceptions of the current vs. desired state of high-throughput screening (HTS) automation. The survey encompassed attributes such as automation flexibility, throughput and operation. These and other automation attributes were ranked based on importance to the respondent and/or the limitations these attributes imposed on the screening organization.     

Alpha(1) adrenoceptor subtype selectivity. 3D-QSAR models for a new class of alpha(1) adrenoceptor antagonists derived from the novel antipsychotic sertindole

Receptor-binding affinities for the alpha(1) adrenoceptor subtypes alpha(1a), alpha(1b) and alpha(1d) for a series of 39 alpha(1) adrenoceptor antagonists derived from the antipsychotic sertindole are reported. The SAR of the compounds with respect to affinity for the alpha(1a), alpha(1b) and alpha(1d) adrenoceptor subtypes as well as affinity obtained by an alpha(1) assay (rat brain membranes) were investigated using a 3D-QSAR approach based on the GRID/GOLPE methodology. Good statistics (r(2)=0.91-0.96; q(2)=0.65-0.73) were obtained with the combination of the water (OH2) and methyl (C3) probes. The combination of steric repulsion and electrostatic attractions explain the affinities of the included molecules. The adrenergic alpha(1a) receptor seems to be more tolerant to large substituents in the area between the indole 5- and 6-positions compared to the adrenergic alpha(1b) and alpha(1d) receptor subtypes. There seems to be minor differences in the position of areas in the alpha(1b) receptor compared to alpha(1a) and alpha(1d) receptors where electrostatic interaction between the molecules and the receptor (OH2 probe) contribute to increased affinity. These observations may be used in the design of new subtype selective compounds. In addition, the model based on biological data from an alpha(1) assay (rat brain membranes) resembles the model for the alpha(1b) adrenoceptor subtype.     

Vibration data analysis for a commercial aircraft: Multivariable vibration data from an aircraft is analyzed using modern system identification tools. The identified linear vibrational model accurately describes the measured motion.

Using data from extensive vibrational tests of the new Saab 2000 aircraft, a combined method for vibration analysis is studied. The method is based on a realization algorithm followed by standard prediction error methods (PEM). We find that the realization algorithm gives good initial model parameter estimates that can be further improved by the use of PEM. We use the method to get insights into the vibrational eigenmodes.