Topology Based Flow Analysis and Superposition Effects

نویسندگان

  • Julia Ebling
  • Alexander Wiebel
  • Christoph Garth
  • Gerik Scheuermann
چکیده

Using topology for feature analysis in flow fields faces several problems. First of all, not all features can be detected using topology based methods. Second, while in flow feature analysis the user is interested in a quantification of feature parameters like position, size, shape, radial velocity and other parameters of feature models, many of these parameters can not be determined using topology based methods alone. Additionally, in some applications it is advantageous to regard the vector field as a superposition of several, possibly simple, features. As topology based methods are quite sensitive to superposition effects, their precision and usability is limited in these cases. In this paper, topology based analysis and visualization of flow fields is estimated and compared to other feature based approaches demonstrating these problems.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Third-order Decentralized Safe Consensus Protocol for Inter-connected Heterogeneous Vehicular Platoons

In this paper, the stability analysis and control design of heterogeneous traffic flow is considered. It is assumed that the traffic flow consists of infinite number of cooperative non-identical vehicular platoons. Two different networks are investigated in stability analysis of heterogeneous traffic flow: 1) inter-platoon network which deals with the communication topology of lead vehicles and...

متن کامل

Superposition-Based Order Analysis

Topology preservation, the central feature of SOM, proves to be difficult to define and quantify. We propose new criteria and measurements for order preservation, based on the superposition of neuron cells in the input space. As an application, we establish a taxonomy of topological errors and disorder states and use it for error detection in 2-dimensional SOM during the first learning epochs.

متن کامل

Random Linear Intersession Network Coding With Selective Canceling

The network coding capacity of a single multicast traffic is characterized by the min-cut/max-flow (mcMF) theorem, which can be achieved by random linear network coding (RLNC). Nonetheless, the graph-theoretic characterization for multiple unicast/multicast traffic remains an open problem. This paper proposes and studies a new class of intersession-network-coding schemes: RLNC with selective ca...

متن کامل

Synthesis and recognition of biological motion patterns based on linear superposition of prototypical motion sequences

The linear-combination of prototypical views has been shown to provide a powerful method for the recognition and analysis of images of three-dimensional stationary objects. In this paper, we present preliminary results on an extension of this idea to video sequences. For this extension, the computation of correspondences in space-time turns out to be the central theoretical problem, which we so...

متن کامل

Construction of Hexahedral Block Topology and its Decomposition to Generate Initial Tetrahedral Grids for Aerodynamic Applications

Making an initial tetrahedral grid for complex geometry can be a tedious and time consuming task. This paper describes a novel procedure for generation of starting tetrahedral cells using hexahedral block topology. Hexahedral blocks are arranged around an aerodynamic body to form a flow domain. Each of the hexahedral blocks is then decomposed into six tetrahedral elements to obtain an initial t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006