Novel view generation from two reference images based on the same optical axis
As hopping and walking through different cylindrical panoramic viewpoints, we can feel the view-field jumping between the former and the subsequent view. Based on the same optical axis in the general planar-pinhole camera model, an algorithm is proposed for generating novel views from the two reference images in this paper. On the supposition that the two reference images have the same intrinsic parameter matrix, a warping equation is derived to map points from a reference image to a desired image. The point correspondences can be determined between the two reference images by using the method based on the pairs of feature line segments. The sequence of warping images from each reference image can be computed. Then the corresponding warping images are cross-dissolved to generate the novel views. The problems such as seams, holes, folds and irregular points are analyzed and resolved to generate convincing novel views.

title: Equivalent Inertia Moment in Linear Stability Calculation of Stepped Beam
abstract: In the process of simplifying the stability calculation for light main boom of crawler crane, the structure can be considered as non-symmetrical one with variable cross-section beam. The equivalence of the simply supported beam with asymmetrical cross-section has not been solved. This paper attains the equivalent inertia moment of the stepped beam with the small deformation by using the differential and energy methods. In addition, comparing with the software ANSYS, the results of differential method is better than energy method. Then the results of differential errors are amended and reduced. Then, the paper presents the equivalent inertia moment coefficients curves, which greatly simplifies the calculation process of critical load and provides the reference for boom design.

title: The Cluster Distribution of Regulatory Motifs of Transcription in Yeast Introns
abstract: A comparative analysis of olignucleotide frequencies in two sets of introns of genes highly-transcribed and lowly-transcribed respectively has suggested that the existence of potential positive regulatory motifs of transcription in yeast introns. To further reveal the distribution feature of these motifs, we detected significant clusters of these motifs (mainly pentanucleotides) in introns by r-scan analysis. The results showed that there are more clusters of regulatory motifs in the introns of ribosomal protein genes (highly-transcribed genes) than in lowly-transcribed introns. Experimental studies show that the transcription factors function cooperatively in transcriptional activation and the corresponding binding sites for factors generally cluster in DNA. Accordingly, we speculated that the cluster distribution of regulatory motifs of transcription in yeast introns could becorrelated with the cooperative action of transcription factors and the transcriptional rates of genes could be improved by the cooperativity.

title: C-SAW and genAWeave: a two-level aspect weaving toolsuite
abstract: This demonstration will feature overviews of the C-SAW and GenAWeave projects. The first half of the presentation will introduce the concept of two-level aspect weaving, which unites a <i>model transformation</i> tool with a <i>program transformation</i> engine. From models representing an avionics application, it will be shown how changes to model properties trigger corresponding adaptations to the related source code. The second half of the demonstration is focused on using a program transformation engine to perform the task of aspect weaving. In particular, several crosscutting concerns will be woven into an Object Pascal application.

title: Do You Know Where Your Data's Been? - Tamper-Evident Database Provenance
abstract: Database provenance chronicles the history of updates and modifications to data, and has received much attention due to its central role in scientific data management. However, the use of provenance information still requires a leap of faith. Without additional protections, provenance records are vulnerable to accidental corruption, and even malicious forgery, a problem that is most pronounced in the loosely-coupled multi-user environments often found in scientific research. 
 
This paper investigates the problem of providing integrity and tamper-detection for database provenance. We propose a checksum-based approach, which is well-suited to the unique characteristics of database provenance, including non-linear provenance objects and provenance associated with multiple fine granularities of data. We demonstrate that the proposed solution satisfies a set of desirable security properties, and that the additional time and space overhead incurred by the checksum approach is manageable, making the solution feasible in practice.

title: Leopard Image Retrieval using Region of Interest and Texture Feature
abstract: In content based image retrieval system, texture based natural image retrieval can not extract texture feature efficiently and accurately, because the nature image is very complex and most of method extract feature use the whole nature image. In this paper, a new method is proposed for leopard texture image retrieval. Usually, the habitat of leopard is grass or tree, there is large difference between leopard image background and foreground, so it is easy to separate the leopard region from background using Canny edge detection, and then extract region of interest of foreground. The similarity of two images will be determined by the similarities between pairs of region of interest. The experimental results on the leopard texture image database demonstrate that the proposed method is encouraging with an average successful retrieval rate of 95.66%

title: ROI Based Natural Image Retrieval Using Color and Texture Feature
abstract: Region of interest(ROI) plays an important role in image analysis. In this paper, an efficient approach for content based image retrieval combining both color and texture features using three ROIs is proposed. Firstly, segment image to three parts using K-means algorithm. Secondly, select three ROIs from the three parts and then extract color features and texture features of ROIs. The similarity of two images will be determined by the similarities between pairs of ROIs. The experimental results demonstrate that the proposed method is encouraging with a successful retrieval rate.