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Network virtualization is critical for distributing cloud services over expanded distances and improving scalability and responsiveness. However many providers are very concerned about maintaining high availability, particularly under large catastrophic/disaster type conditions causing multiple failures. Now recent studies have looked at network virtualization for disaster recovery. However these...
Developing intuitive interface to control humanoid robots with high degrees-of-freedom (DOF) in real-time remains as an essential issue. Since most humanoid robots have at least sixteen DOF, achieving real-time performance in controlling humanoid robot posture is hard to accomplish. This paper proposes a method to calculate joint angles of humanoid robots according to human's joint locations tracked...
There is a recent interest in developing algorithms for the reconstruction of jointly sparse signals, which arises in a large number of applications. In this work, we study the problem of wide-band spectrum sensing for cognitive radio networks using compressed sensing to exploit the underlying joint sparsity structure in a distributed setting. In particular, we use the recently proposed Approximate...
This paper proposes a novel framework to calibrate cameras and model a scene simultaneously using both self-calibration constraints and geometric information on parallelograms. The proposed method is a factorization-based approach solving the problem by decomposing a measurement matrix into camera and parallelogram parameters. Since the factorizationbased approach recovers all camera poses simultaneously,...
This paper presents the image analysis method for raw shiitake mushroom from image to shiitake grading to develop an automated system for grading a raw shiitake. Analysis pieces are the size of mushroom and the level of opening cap. Proposed method calculates the size of shiitake by using area sum of shiitake area and the rate of lamella area. To extract lamella area in image, proposed method uses...
We consider the problem of communicating degraded message sets over multi-access channel with finite input and output alphabets that is controlled by an underlying i.i.d. state process. Inner and outer bounds are presented for the general case where encoders possess non-causal degraded state information. Two special cases of the general setup are then presented where the derived inner bound is shown...
A rate control algorithm for hierarchical B-pictures in Scalable Video Coding (SVC) is proposed in this work. The complex inter-frame dependency issue is effectively addressed by the Q-distance policy decision rule while the statistical smoothing effect enables the GOP-based precise bit rate control. The simplicity of the decision processes greatly reduces the encoder complexity providing an efficient...
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