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In this paper, we consider two-dimensional bin packing problem with a variant variable sized constraint, where the width of the bin is continuously changed and the height of the bin is discretely changed, with the further restrictions that packing can be rotated and done in two stages. A column generation-based algorithm is proposed when the first cutting stage is the vertical direction. The problem...
Spherical volumetric parameterization is a basic and important problem in the fields of digital geometry processing and computer graphics. It is beneficial to the texture mapping and reconstruction of volume mesh. But some methods of spherical volumetric parameterization cannot guarantee the triangles and tetrahedrons without distortion after parameterization. Therefore, this paper presents an efficient...
Since it is difficult to obtain a closed-form solution of inverse-kinematics for a humanoid robot hand with coupled joints due to its nonlinearity induced by trigonometric transcendental function, most solutions achieved in early studies were numerical ones. In this paper, an inverse-kinematics algorithm based on the power series is presented, by which the nonlinear equation including trigonometric...
Volumetric parameterization is a basic and important problem for digital geometry processing and computer graphics. This paper presents a volumetric parameterization approach which is based on bounded-distortion harmonic energy. We take the tetrahedral mesh as input data and maps it to a solid sphere, in that way we can acquire a bijective simplicial map. Then we project the bijective simplicial map...
The main idea of image de-fencing refers to removing fence-like obstacles in the image and recovering the image. In this paper, rather than using a common RGB camera, we propose a novel image de-fencing algorithm with the help of a hyperspectral camera. Our algorithm consists of two phases: (1) automatically finding the location of the fence in the image, (2) image inpainting to reveal a fence-free...
Distributed file systems such as Google File System and Hadoop Distributed File System have been used to store large volumes of data in Cloud data centers. These systems divide data sets in blocks of fixed size and replicate them over multiple machines to achieve both reliability and efficiency. Recent studies have shown that data blocks tend to have a wide disparity in data popularity. In this context,...
An important real-world optimization problem in manufacturing industry is to determine optimal workpiece setups for 4-axis NC machining. In this paper we reveal some interesting relations between this optimal workpiece setup problem and the two classic NP-hard problems in complexity theory (i.e, the vertex cover problem and the set cover problem). These relations immediately show the following results...
We investigate the problem of clustering on distributed data streams. In particular, we consider the k-median clustering on stream data arriving at distributed sites which communicate through a routing tree. Distributed clustering on high speed data streams is a challenging task due to limited communication capacity, storage space, and computing power at each site. In this paper, we propose a suite...
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