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Convex Analysisの二,三の進展について

It is shown that, particularly for terrestrial cellular telephony, the interference-suppression feature of CDMA (code division multiple access) can result in a many-fold increase in capacity over analog and even over competing digital techniques. A single-cell system, such as a hubbed satellite network, is addressed, and the basic expression for capacity is developed. The corresponding expressions for a multiple-cell system are derived. and the distribution on the number of users supportable per cell is determined. It is concluded that properly augmented and power-controlled multiple-cell CDMA promises a quantum increase in current cellular capacity. >

On the capacity of a cellular CDMA system

This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.

Coverage control for mobile sensing networks

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Flow The Psychology Of Optimal Experience

Thank you very much for downloading biomechanics and motor control of human movement. Maybe you have knowledge that, people have search hundreds times for their favorite books like this biomechanics and motor control of human movement, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some malicious virus inside their laptop.

Biomechanics And Motor Control Of Human Movement

In this paper, a Spiking Neural Network (SNN) based controller is designed to fulfill the task of formation control of multiple mobile robots. The neural network contains three layers with different neuron model for different layer: the input layer encodes the inputs including sensor and task-related information by leaky integrate-and-fire (LIF) neurons, the hidden layer uses the approximate coincidence detection coding to fuse the information from the input layer and the spike response model (SRM model) is applied to the output layer to fire spikes to drive the motors. By the leader-follower strategy and the SNN controller, the multiple mobile robots system can realize the formation control. The validity of this controller is testified by the simulations.

Formation control for multiple mobile robots based on the Spiking Neural Network

Recently, much more attention has been paid to the development of minimally invasive vascular surgery. Simulating behaviors of a catheter/guide wire in a realistic 3D vascular model for minimally invasive vascular surgery is a challenging subject. One of the main problems for an 3D computer-based virtual reality simulator is how to design a software toolkit primarily targeted to medical simulation. In this paper, we describe an 3D interactive virtual reality software toolkit and present an example of application to a virtual minimally invasive vascular surgery procedure. Finally, experimental results are given to show that the 3D interactive virtual reality software toolkit is effective and promising.

An 3D interactive virtual reality software toolkit for minimally invasive vascular surgery

In this paper, the firing rate of the neuron based on temporal coincidence coding is estimated for correlation detection. Two cases are considered: the independent inputs are stochastic spike trains that are modeled by the homogeneous Poisson process or the renew process. The situation that the inputs are correlated is also considered and the conditions for the neuron to detect the correlation among inputs are discussed. The results are demonstrated by the simulations.

Correlation detection with firing rate estimation based on temporal coincidence coding

This paper presents the design of an optimal controller which is applied to control the actuator force of the semi-active vibration isolator in order to suppress vibration effectively. The controller design technique is based on dual heuristic dynamic programming (DHP), which is one of the structures in adaptive dynamic programming (ADP). Least mean square (LMS) algorithm is applied to the learning rules of the action network and the critic network. The update equations for the weights based on backpropagation algorithm are illustrated in detail. A single-stage training process is also demonstrated as a useful training strategy. Two types of vibrations are utilized to verify the effectiveness of this control design. Simulation results show that, compared with the passive system, the semi- active vibration isolator can significantly improve the system's performances in acceleration, velocity and displacement.

Semi-active vibration isolation control using dual heuristic dynamic programming

Gait training has been proved effective for recovery of walking ability for nerve injury patients caused by stroke, spinal cord injury (SCI), traumatic brain injury (TBI), etc. The traditional gait training methods, usually carried out by hands, are laborious and time-consuming, and hence, the training intensity is difficult to be maintained and the rehabilitation results are not satisfactory. To overcome the limitation, lower limb rehabilitation robots (LLRRs) have been developed for clinical gait training, the typical ones of which including Lokomat, ReoAmbulator, and Rewalk.

Zeng-Guang Hou

Papers

Formation control for multiple mobile robots based on the Spiking Neural Network

An 3D interactive virtual reality software toolkit for minimally invasive vascular surgery

Correlation detection with firing rate estimation based on temporal coincidence coding

Semi-active vibration isolation control using dual heuristic dynamic programming

GPR and SPSO-CG based gait pattern generation for subject-specific training