With respect to large-scale quantum computing, it is important know precisely and quickly how much computational resources are necessary study components the whole system. If such provided, performance a computer provides also critical issue. Unfortunately, practically infeasible deal with problems conventional methods based on non-structured description about algorithm. To overcome problems, w...

In the fields of wind tunnel measurement and aerospace, real-time pose information aircraft is an important index. this paper, we propose a large-scale estimation system, in which depth cameras are used to scan entire model multiple directions. Using principal component analysis (PCA) featuring vectors as target coordinate system through transformation matrix for point cloud calibration aircraf...

nowadays, soil reinforcement using polymer elements have been investigated by a number of researchers in order to increase the load capacity of soils. reinforcing soils using fibers is a method of soil improvement, which offers a homogenous mixture in combination with soils, regarding their tensile strength. this combination maintains pressure loading capacity and properties in mutual resistant...

Most image processing and computer vision algorithms assume knowledge of the proper spatial scale in the image. We propose an automatic technique that adaptively sets the proper spatial scale based on the size of local features in the image. We discuss an analog VLSI circuit implementation that uses this method to automatically determine the proper scale based on a dynamical system model that c...

from ancient times, governments have laid emphasis – albeit with varying degrees – on large-scale plans and their impact on society and have thus resorted to them. the iranian government is of course no exception; both before and after the 1979 revolution, the different administrations of the country maintained that employing large-scale plans was fruitful and applied them accordingly. although...

Many real-world problems modeled by stochastic games have huge state and/or action spaces, leading to the well-known curse of dimensionality. The complexity of the analysis of large-scale systems is dramatically reduced by exploiting mean field limit and dynamical system viewpoints. Under regularity assumptions and specific time-scaling techniques, the evolution of the mean field limit can be e...