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Chen L.-B.,Qingdao Technological University | Yang W.,Beijing Computational Science Research Center
Laser Physics Letters | Year: 2014

We propose a two-qubit optically controlled phase gate in quantum dot molecules via adiabatic passage and hole tunnelling. Our proposal combines the merits of the current generation of vertically stacked self-assembled InAs quantum dots and adiabatic passage. The simulation shows an implementation of the gate with a fidelity exceeding 0.98. © 2014 Astro Ltd. Source


Yang Z.,Qingdao Technological University
Computers and Mathematics with Applications | Year: 2011

This paper is concerned with the existence and multiplicity of positive solutions for the system of p-Laplacian boundary value problems -( (ui′)pi-1)′=fi(t, u1,⋯,un),ui(0)=ui′(1)=0,i=1, ⋯,n, where n2, pi>1, fi&C([0,1]×R+n, R+)(i=1,⋯,n,R+:=[0,∞)). Based on a priori estimates achieved by utilizing the Jensen integral inequalities and R+n-monotone matrices, we use fixed point index theory to establish the existence and multiplicity of positive solutions for the above problem. © 2011 Elsevier Ltd. All rights reserved. Source


Xu X.-K.,Qingdao Technological University
IEEE Transactions on Antennas and Propagation | Year: 2010

We exploit the joint fractal properties of sea clutter extracted from detrended fluctuation analysis (DFA) for targets detection. We find that two specific fractal statistics, i.e., the intercept at the crucial scale and the Hurst exponent of optimal scales provide valuable information for targets detection. The first statistic measures the discrepancy between sea clutter and low observable targets at the crucial fractal scale, and the second one evaluates the average fractal difference within the optimal multi-scales. A target detection method integrating these two statistics is proposed, which is validated by real-life IPIX radar datasets. We find that this joint fractal detection approach achieves more accurate results for low observable targets detection. © 2006 IEEE. Source


Wang H.,Qingdao University | Yang S.,Qingdao Technological University
Mechanical Systems and Signal Processing | Year: 2013

Noncircular pistons are becoming more and more popular in the automotive industry. The challenge of machining this kind of pistons (e.g., middle-convex and varying ellipse piston (MCVEP)), lies in the rigorous demand of the cutting feed mechanism for large force generation, high stiffness, fast response, long stroke and high accuracy. The conventional processing methods cannot meet the challenge so a new piezoelectric actuator (PEA) based fast tool servo (FTS) mechanism was developed to incorporate additional functions to a general CNC system that will facilitate the execution of MCVEP turning. Since the desired tool trajectories are approximately periodic signals in MCVEP turning, and the repetitive control can achieve asymptotic tracking and disturbance rejection of periodic signals, a plug-in repetitive control is designed to be added on the conventional PID controller. In the experiments, the designed prototype was used to machine a MCVEP for the gasoline engine, which was equipped with the PEA-based FTS system, as well as the plug-in repetitive controller. The machining test validated the effective of the designed noncircular turning system. © 2011 Elsevier Ltd. All rights reserved. Source


Patent
Qingdao Technological University | Date: 2012-08-14

A method for determining a seismic design for a structure includes setting performance objectives; inputting the performance objectives into a single degree of freedom system to carry out a simulation test; continuously adjusting the size of seismic waves applied to the system to determine a relationship between performance demand and the period of the structure under different performance objectives; obtaining a seismic demand spectrum curve between a seismic influence coefficient or a spectral accelation and displacement performance objective in the single degree of freedom system; analyzing the relationship between the base shear force and the displacement of the engineering structure; converting the relationship into the relationship between the capacity and the displacement in the single degree of freedom system; obtaining a capacity spectrum curve; comparing the capacity spectrum curve with the performance demand spectrum curve; and assessing the seismic capacity of the structure under different performance objectives.

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