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Computing frameworks have been widely deployed to support global-scale services. A job typically has multiple sequential stages, where each stage is further divided into multiple parallel tasks. We call the set of all the tasks in a stage of a job a cotask. In this paper, we aim to minimize the average Cotask Completion Time (CCT) in cotask scheduling. To the best of our knowledge, there is no prior...
Medical image segmentation plays an important role in digital medical research, therapy planning, and computer aided diagnosis. However, the existence of noise and low contrast make automatic liver segmentation remains an open challenge. In this work we focus on a novel variational semi-automatic liver segmentation method. First, we used the signed distance functions (SDF) representing pattern shapes...
There are many simulators to evaluate the performance of computer architecture, however they are commonly based on Software Architecture Model Execution (SAME). Due to hardly implement parallel execution on multicore platforms, their simulation speeds are slow. To solve the problem, we propose to improve simulation speed of SAME simulators on FPGA using SystemC synthesizable timing models. First,...
In this paper, we investigate the issue of minimizing data center energy usage. In particular, we formulate a problem of virtual machine placement with the objective of minimizing the total power consumption of all the servers. To do this, we examine a CPU power consumption model and then incorporate the model into an mixed integer programming formulation. In order to find optimal or near-optimal...
In this paper, the electromagnetic computation and simulation of a cavity filled with vacuum and dielectric are discussed. An efficient discontinuous Galerkin time domain (DGTD) method which employs an orthonormal basis (for spatial discretization) and Runge-Kutta method (for temporal integration) to solve Maxwell's equations is given in detail. Numerical experiments on different order of approximation...
In this paper, the issue on how a robot autonomously achieves its motion skills is addressed, and an alternative learning approach based on hierarchical motion modelling is proposed. Within the hierarchical model, each robot motion skill is firstly characterized by a family of trajectories that belong to different layers, where inherent constraints among layers will be great helpful in reducing the...
The propagation of a sinusoidal wave is simulated in a simplified model of two-dimensional (2-D) local ionosphere using a novel implicit auxiliary differential equation (ADE) finite-difference time-domain (FDTD) method combined with a layer smoothing (LS) technique. Impacts of both the diurnal variation and the natural geomagnetic field on the ionosphere model are taken into account. It is found that...
The dipole antennas are widely used for RF communication applications and usually provide a potential front-door path of coupling electromagnetic pulse (EMP). In this paper, the transient current response of dipoles exposed to EMP is calculated with an equivalent circuit based model, which consists of an equivalent pulse voltage source and an antenna equivalent circuit. A center-driven wire dipole...
In order to facilitate decentralized fuzzy controller designs for multi-input-multi-output (MIMO) processes, this paper presents a novel manner, called effective Takagi-Sugeno (T-S) fuzzy model (ETSM), to describe the interactions among the loops. For a certain control-loop of an MIMO process, in terms of relative normalized gain array (RNGA) based loop pairing criterion, simple calculating procedure...
To equip a robot with various required skills so that to serve human society, plenty of research have been performed and successfully applied from both theoretical and practical aspects for decades. Usually, a robot with several skills needs to recall a different controller or model parameters to fit the new circumstance as task to be fulfilled or environment changes. Therefore, how to smoothly shift...
A new technique for coupling the electromagnetic, thermal, and air-flow analysis is proposed especially for electric machines that exhibit a reduced dependency of core losses with temperature and load, and have low rotor losses. Within the overall iterative loop, another inner loop that cycles only the thermal calculations and employs a simplified model for estimating losses is introduced. The thermal...
Localization algorithm is an important and challenging topic in today's wireless sensor networks (WSNs). In order to improve the localization accuracy, a weighted centroid localization algorithm based on least square to predict the location of any sensor in a WSNs is proposed in this paper. The proposed algorithm proposes a Least-Square-based weight model which can reasonably weigh the proportion...
This paper addresses multi-view point cloud registration, which is one of the major techniques to develop a robust visual tracking system. The proposed algorithm first uses Kinect camera to capture point clouds of an object-of-interest or a complex environment with different view points. Then, a novel RANSAC RGB-D mapping algorithm is developed to efficiently and accurately align the multiple point...
Cloud computing is on demand as it offers dynamic flexible resource allocation for reliable and guaranteed services in a pay-as-you-use manner to public. In cloud computing, a cloud resource consumer can request a number of cloud resources simultaneously. So there must be a provision that all resources are made available to requesting cloud resource consumers in an efficient manner to satisfy their...
In wireless sensor networks, various applications involve learning one or multiple functions of the measurements observed by sensors, rather than the measurements themselves. This paper focuses on the computation of type-threshold functions which include the maximum, minimum, and indicator functions as special cases. Previous work studied this problem under the collocated collision network model and...
This paper presents a novel active contour model for simultaneous segmentation and bias field estimation of medical images. Based on the additive model of images with intensity in homogeneity, we characterize the statistics of image intensities belonging to each different object in local regions as Gaussian distributions with different means and variances. According to maximum a posteriori probability...
In terms of relative normalized gain array (RNGA) criterion, this paper presents an interaction analysis and loop pairing method for multi-input-multi-output (MIMO) processes described by Type-2 Takagi-Sugeno (T-S) fuzzy models. Type-2 fuzzy system offers a significant improvement on traditional (Type-1) fuzzy systems to handle the uncertainties. For each individual loop in the MIMO process, the steady-state...
A novel bayesian non-parametric method for tracking is proposed in this paper. The foreground appearance distribution is modeled by unbounded mixtures controlled through a Bayesian non-parametric process. Two posterior inference strategies are provided: Gibbs sampling and sequential importance sampling. Both of these two sampling strategy benefits from the conjugate prior/posterior pairs by factorizing...
This paper combines market-maker's inventory-based model and information-based model, using multi-agent technology to construct a group of informed traders, insiders and a market-maker, with market microstructure theory to build an artificially financial market under market-maker trading mechanism. By comparing different situations under which market-maker holds different initial stock positions,...
In order to improve the risk communication and emergency disposal capacity of trans-boundary water pollutions, a river basin risk communication model has been developed based on Multi-Agent, combined with WebGIS technology, which coordinate the relationship among government departments, the related enterprises and the general public. By the cooperation of the distributed agents, the risk information...
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