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In this paper, we introduce integral sampling and study the reconstruction of signals based on non-uniform average samples in spline subspace. By using a new method, we obtain a new reconstruction formula.
This paper presents two very efficient sorting algorithms. MSL is an O(N*B) in-place radix sorting algorithm, where N is the input size and B is the keys length in bits. This paper presents an implementation of MSL that is sub-linear in practice, for uniform data, on Pentium 4 machines. We also present an O(N*logN) hybrid quicksort that has a non-quadratic worst case.
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing value, or different lengths. In this paper, a dimension reduction method is proposed that replaces the raw data with some global measures of time series characteristics. These measures are then clustered using a self-organizing...
With the development of the multicast technology, the real-time strategy among the group applications using the multicast routing is getting more important. An essential factor of these real-time applications is to optimize the Delay- and delay Variation-Bounded Multicast Tree (DVBMT) problem. In this paper, we propose Estimation of Selecting Core (ESC) algorithm for DVBMT solution. Furthermore, it...
Neural networks as data mining tools are becoming increasingly popular in business. In this paper, a hybrid mining model based on neural network and kernel smoothing technique is developed. The kernel smoothing technique is used to preprocess data and help decision-making. Neural network is employed to predict the long trends of stock price. In addition, some trading rules involving trading decision-making...
As a featured function of search engine, clustering display of search results has been proved an efficient way to organize the web resource. However, for a given query, clustering results reached by any user are totally identical. In this paper, we explored a user-friendly clustering scheme that automatically learns users’ interests and accordingly generates interest-centric clustering. The basis...
The article presents application of artificial immune algorithms in classification of vectorized medical data sets. Artificial immune network was created and trained for the purpose of arterial blood gasometry parameters (pH, pCO2, pO2, HCO3) classification. Training data originates from the Infant Intensive Care Unit of the Polish – American Institute of Pediatry, Collegium Medicum, Jagiellonian...
The more web data sources provide XML data, the greater information flood problem has been caused. Hence, there have been increasing demands for efficient methods of discovering desirable patterns from a large collection of XML data. In this paper, we propose a new and scalable algorithm, EFoX, to mine frequently occurring tree patterns from a set of labeled trees. The main contribution made by our...
Frequent pattern mining in real-time is of increasing thrust in many business applications such as e-commerce, recommender systems, and supply-chain management and group decision support systems, to name a few. A plethora of efficient algorithms have been proposed till date. However, with dense datasets, the performances of these algorithms significantly degrade. Moreover, these algorithms are not...
In order to remove neighboring abdominal organs of the liver, we propose an improved fully automatic liver segmentation using histogram tail threshold (HTT) algorithms. A region of interest of the liver is first segmented. A left HTT (LHTT) algorithm is performed to eliminate the pancreas, spleen, and left kidney. After the right kidney is eliminated by the right HTT (RHTT) algorithm, the robust liver...
In this paper, a method of line scan-conversion is presented by calculating the intersection point of straight line with the middle scan line of screen. With this method, the pixel’s screen coordinate of spatial line could also be obtained. Moreover, raster precision is exactly the same as that of Bresenham’s middle algorithm; and more than or at least one pixel could be obtained at a computational...
Sequential pattern mining is an important data mining problem with broad applications. Especially, it is also an interesting problem in virtual environments. In this paper, we propose a projection-based, sequential patterngrowth approach, called PrefixUnion. Meanwhile, we also introduce the relationships among transactions, views and objects. According to these relationships, we suggest two mining...
Pre-integrated volume rendering has become one of the most efficient and important techniques in three dimensional medical visualization. It can produce high-quality images with less sampling. However, two important issues have received little attention throughout the ongoing discussion of pre-integration: Skipping over empty-space and the size of lookup table for a transfer function. In this paper,...
Ncvtk is a visualization tool offering a high degree of interactivity to scientists who need to explore scalar and vector data on a longitude-latitude based grid. Ncvtk was born out of four recent trends: open source programming, the availability of a high quality visualization toolkit, the emergence of scripting, and the wide availability of fast and inexpensive hardware.
We propose a novel technique of multimodality volume fusion using graphics hardware that solves the depth cueing problem with less time consumption. Our method consists of three steps. First, it takes two volumes and generates sample planes orthogonal to the viewing direction following 3D texture mapping volume rendering. Second, it composites textured slices each from different modalities with several...
There are currently many methods for triangular local interpolation: Given triangular meshes P in three dimension space, the given flat triangles are based only on the three vertices and three normal vectors, or PN triangles, construct a smooth surface that interpolates the vertices of P. In this paper a completely local interpolation scheme is presented to guarantee to join patches G1 continuously...
This paper presents a novel method for estimating the coordinates of a 3D object using the four vertices of a quadrangle and the camera motion parameters. Estimation of 3D object coordinates from 2D images of video is a studied problem in augmented reality. However, most solutions are dependent on fiducial markers in video or known coordinate systems which are required with superimposition of virtual...
Campus grid storage service is to aggregate the storage resources in the servers of Campus Grid Center and colleges (or institutes, departments), and the storage resources of personal computers in the campus network. It provides storage resources registration, allocation, scheduling, and release services for users by three levels storage architecture. Due to the storage nodes’ dynamites, the total...
Grid computing environments can share resources and services in a large-scale. These environments are being considered as an effective solution for many organizations to execute distributed applications to obtain high level of performance and availability. However, the use of a grid environment can be a complex task for an ordinary user, demanding a previous knowledge of the access requirements from...
This paper presents the design and implementation of Distributed Object-oriented Wargame Simulation(DOWS) on Access Grid(AG). DOWS is an object-oriented distributed simulation system based on a director-actor model. DOWS on AG supports a collaborative environment by providing a virtual venue with high quality audio and real-time video interactive interface for remote users, and allows a groups of...
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