16656258
Robust Anisotropic Disparity Estimation with Perceptual Maximum Variation Modeling
We present a robust anisotropic dense disparity estimation algorithm which employs perceptual maximum variation modeling. Edge-preserving dense disparity vectors are estimated using a coarse-to-fine diffusive method on iteratively filtered images, i.e. the scale-space. While an energy-minimization framework adjusts local disparity, the edges are efficiently preserved by anisotropic disparity-field diffusion. However, the localization at weak image edges which have small brightness variations is fundamentally difficult. In this paper, perceptual maximum variation modeling prevents the delocalization flow over edges, e.g. over-diffusion and back-diffusion, computed by evaluating small variations. We perform disparity-field diffusion on a perceptually optimized color space, which combines the small differences in both brightness and chromaticity. Additionally a consistency constraint is employed in the modeling to avoid the influence of global color distributions and to enhance important edges as the human vision system does. The experimental results show the excellent localization performance preserving the disparity discontinuity of each object.
15382159
Hybrid recursive energy-based method for robust optical flow on large motion fields
We present a new reliable hybrid recursive method for optical flow estimation. The method efficiently combines the advantage of discrete motion estimation and optical flow estimation in a recursive block-to-pixel estimation scheme. Integrated local and global approaches using the robust statistic of anisotropic diffusion remove outliers from the estimated motion field. We separately describe the process with two frameworks i.e. an incremental updating framework and a robust energy minimization framework. With robust error norms of Perona and Marik anisotropic diffusion, the formulation usually leads to non-convex optimization problems. Thus, the solution has many local minima, and convergence to the global minima is not guaranteed. Our hybrid recursive energy-based method employs a hierarchical block-to-pixel estimation concept to prevent this problem. The experimental results prove the excellent performance on several large motion fields.
2891290
Sequence-driven features for prediction of subcellular localization of proteins
Prediction of the cellular location of a protein plays an important role in inferring the function of the protein. Feature extraction is a critical part in prediction systems, requiring raw sequence data to be transformed into appropriate numerical feature vectors while minimizing information loss. In this paper, we present a method for extracting useful features from protein sequence data. The method employs local and global pairwise sequence alignment scores as well as composition-based features. Five different features are used for training support vector machines (SVMs) separately and a weighted majority voting makes a final decision. The overall prediction accuracy evaluated by the 5-fold cross-validation reached 88.53% for the eukaryotic animal data set. Comparing the prediction accuracy of various feature extraction methods, provides a biological insight into the location of targeting information. Our experimental results confirm that our feature extraction methods are very useful for predicting subcellular localization of proteins.
10913816
A Web Services-enabled marketplace architecture for negotiation process management
As the eBusiness environment becomes more pervasive and dynamic, negotiations between companies are required more frequently than ever. Despite its potential value and the progress in research, the adoption of negotiation systems has been slow in practice. We believe one reason for this is insufficient consideration of process management aspects such as process design, description, and deployment. Business negotiations must be approached from the process management perspective since they take place in the context of corporate processes such as procurement or sales.In this paper, we study system support and automation of business-to-business (B2B) negotiations from the process management perspective. We propose a Web Services-enabled marketplace architecture for negotiation process management and refine it by adding pattern-based process composition. We validate the concept by implementing the proposed architecture using BPEL4WS and evaluating it from various perspectives.
12515507
Using content-addressable networks for load balancing in desktop grids
Desktop grids have evolved to combine Peer-to-Peer and Grid computing techniques to improve the robustness, reliability and scalability of job execution infrastructures. However, efficiently matching incoming jobs to available system resources and achieving good load balance in a fully decentralized and heterogeneous computing environment is a challenging problem. In this paper, we extend our prior work with a new decentralized algorithm for maintaining approximate global load information, and a job pushing mechanism that uses the global information to push jobs towards underutilized portions of the system. The resulting system more effectively balances load and improves overall system throughput. Through a comparative analysis of experimental results across different system configurations and job profiles, performed via simulation, we show that our system can reliably execute Grid applications on a distributed set of resources both with low cost and with good load balance.
16103417
Designs in Additive Codes over GF(4)
The purpose of this paper is to study designs in additive codes over GF(4). There are two types of designs. One is a classical t-design with repeated blocks. In this case we have an analog of the Assmus–Mattson Theorem for additive codes over GF(4). The other is a generalized t-design first introduced by Delsarte [4]. As an example, we consider the dodecacode, which is the unique additive even self-dual (12, 212, 6) code. We show that there exists a 5-(12, 6, 3) design in the dodecacode with either 3 distinct blocks or 3 repeated blocks covering a 5-set. We also find a new simple 3-(11, 5, 4) design in the shortened dodecacode by a computer search. Additionally we show that any extremal additive even self-dual code over GF(4) is homogeneous.
14647313
Energy-efficient disk replacement and file placement techniques for mobile systems with hard disks
Mobile systems have usually used hard disks as the secondary storage devices because of their high capacity per cost and high I/O throughput. However, their high power consumption is the main limiting factor for extending their adoptions in mobile systems. In this paper, we propose enhanced file placement techniques for mobile platforms with multiple smaller disks (instead of a single large disk). We investigate that how many smaller disks are necessary to obtain energy saving while maintaining the required performance using both a simplified energy model and a realistic trace-based simulator under the proposed multiple disk configurations. We also propose energy-efficient file placement techniques, which aggregate files with common attributes the same set of disks. By skewing I/O operations, the proposed techniques achieve additional energy saving. Experimental results show that the proposed techniques can reduce the energy consumption by up to 43% when eight 1" disks are used instead of a single 2.5" disk with an acceptable increase in the average response time.