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In interference-limited wireless networks where simultaneous transmissions on nearby links heavily interfere with each other, power control alone is not sufficient to eliminate strong levels of interference between close-by links. In this case, scheduling, which allows close-by links to take turns to be active, plays a crucial rule for achieving high system performance. Joint power control and scheduling...
In this paper, we present a new method using fourth-order statistics for convolutive blind source separation. After a whitening process of the observed data, the separation of convolutive mixtures are transformed to find a semi-unitary demixing matrix. Then the semi-unitary demixing matrix is determined by joint diagonalization for a set of fourth-order joint cumulant matrices. Simulation results...
As the quality of life is rising constantly, the fitness industry has developed quickly, and the innovation and development of fitness equipment has been in high demand. In this paper, a new type of fitness bike is introduced. It is the so-called FDBFB (four-drive bionic fitness bike) which can be driven by either hands or legs, or any combination of any hand and leg as the user likes. By changing...
Currently there are many problems in the engineering education in China, mostly due to that the collaborations between universities and enterprises are so insufficient that the students are always lack of necessary engineering practice. Consequently, reformation of engineering education is needed in order to address this issue, in the background of which the project discussed in this paper is carried...
In multi-cell networks where mobile stations perceive different channel gains to different base stations (BS), it is critical to associate a mobile station with the proper BS to maintain good communication quality with limited bandwidth resources. Oftentimes, the already-challenging BS association problem is further complicated by the need of transmission power control, which is an essential component...
The three-dimensional elastic frictional finite element model of the wheel/rail interaction is put forward to investigate effect of the curve radius and superelevation on the contact stress and contact force of the rail. The interaction between left and right wheels is considered. The rail model includes 60 kg/m standard rail, sleeper, rail fastening, rubber tie plate and ballast bed. The elastic...
Based on the analysis of the first prototype of an assisting robotic arm (ARA) for minimally invasive thoracic surgery, an improved design is presented. A self-gravity compensation mechanism is developed to resist joint torques caused by the weight of the robot and to reduce the force exerted on the end-effector by the surgeon. With a motor built into the arm, the design of the ball-socket-joint is...
In this paper a novel reconfigurable robot is introduced, which is composed of a 4-DOF hybrid module and a 2-DOF rotating head. Compared with the well-known Tricept robot, an active prismatic limb is properly connected to the constrained passive limb of the 3-DOF spherical-coordinate parallel module so as to enlarge the workspace/volume ratio. To ensure better performance of the virtual prototype...
This paper proposes an elastodynamic modelling method for a 3-degree-of-freedom (3-DOF) parallel kinematic machine (PKM) manipulator. Firstly, the architecture of the manipulator is described and its inverse kinematics is analyzed. Then, the manipulator is divided into limb subsystems and moving platform subsystem, whose dynamic equations are derived, respectively. The method of kineto-elastic-dynamics...
A novel method for the detection of multiple moving objects is proposed in this paper. In order to get the detailed information of the objects, fast level set method which is only based on the evolution of single link list is mainly used to detect the boundaries of moving objects. The whole process consists of two main procedures: the coarse detection and the fine localization. During the coarse detection...
Video scene classification and segmentation are fundamental steps for multimedia retrieval, indexing and browsing. In this paper, a robust scene classification and segmentation approach based on support vector machine (SVM) is presented, which extracts both audio and visual features and analyzes their inter-relations to identify and classify video scenes. Our system works on content from a diverse...
This paper describes a new technique for training feedforward neural networks. We employ the proposed algorithm for robust neural network training purpose. Conventional neural network training algorithms based on the gradient descent often encounter local minima problems. Recently, some evolutionary algorithms are getting a lot more attention about global search ability but are less-accurate for complicated...
Kernel approach has been employed to solve classification problem with complex distribution by mapping the input space to higher dimensional feature space. However, one of the crucial factors in the kernel approach is the choosing of kernel parameters which highly affect the performance and stability of the kernel-based learning methods. In view of this limitation, this paper adopts the eigenvalue...
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