We study the scaling behavior of the linear response in the quench dynamics in the one-dimensional transverse-field Ising model.It is found that the leading response of the system scales linearly with the system size....We study the scaling behavior of the linear response in the quench dynamics in the one-dimensional transverse-field Ising model.It is found that the leading response of the system scales linearly with the system size.By considering the second derivative of the leading term of the response,we also found that it exhibits a non-trivial scaling behavior at the quantum critical point of the model.展开更多
We address the possibility of the classical Zeno effect in classical stochastic processes as sampled by transferring a digitized image through a classical channel with surrounding noise.It is shown that the the classi...We address the possibility of the classical Zeno effect in classical stochastic processes as sampled by transferring a digitized image through a classical channel with surrounding noise.It is shown that the the classical state of the image decays inevitably with the distance of the channel due to the interference of the surroundings.However,if there are enough repeaters,which can both check and recover the state’s information,the classical state’s decay rate will be significantly suppressed,then a classical Zeno effect might occur.展开更多
An advanced edge-based method of feature detection and extraction is developed for object description in digital images. It is useful for the comparison of different images of the same scene in aerial imagery, for des...An advanced edge-based method of feature detection and extraction is developed for object description in digital images. It is useful for the comparison of different images of the same scene in aerial imagery, for describing and recognizing categories, for automatic building extraction and for finding the mutual regions in image matching. The method includes directional filtering and searching for straight edge segments in every direction and scale, taking into account edge gradient signs. Line segments are ordered with respect to their orientation and average gradients in the region in question. These segments are used for the construction of an object descriptor. A hierarchical set of feature descriptors is developed, taking into consideration the proposed straight line segment detector. Comparative performance is evaluated on the noisy model and in real aerial and satellite imagery.展开更多
基金Supported by the Earmarked Grant Research from the Research Grants Council of HKSAR of China under Grant No HKUST3/CRF/09.
文摘We study the scaling behavior of the linear response in the quench dynamics in the one-dimensional transverse-field Ising model.It is found that the leading response of the system scales linearly with the system size.By considering the second derivative of the leading term of the response,we also found that it exhibits a non-trivial scaling behavior at the quantum critical point of the model.
基金Supported by the Earmarked Grant Research from the Research Grants Council of HKSAR,China(No CUHK 400807).
文摘We address the possibility of the classical Zeno effect in classical stochastic processes as sampled by transferring a digitized image through a classical channel with surrounding noise.It is shown that the the classical state of the image decays inevitably with the distance of the channel due to the interference of the surroundings.However,if there are enough repeaters,which can both check and recover the state’s information,the classical state’s decay rate will be significantly suppressed,then a classical Zeno effect might occur.
文摘An advanced edge-based method of feature detection and extraction is developed for object description in digital images. It is useful for the comparison of different images of the same scene in aerial imagery, for describing and recognizing categories, for automatic building extraction and for finding the mutual regions in image matching. The method includes directional filtering and searching for straight edge segments in every direction and scale, taking into account edge gradient signs. Line segments are ordered with respect to their orientation and average gradients in the region in question. These segments are used for the construction of an object descriptor. A hierarchical set of feature descriptors is developed, taking into consideration the proposed straight line segment detector. Comparative performance is evaluated on the noisy model and in real aerial and satellite imagery.
