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Local grid and photon encryption method in radiation energy propagation Monte-Carlo algorithm

An encryption method and radiant energy technology, applied in the field of thermal radiation computing, can solve problems such as no scientific basis and no reports, and achieve the effect of improving computing efficiency

Active Publication Date: 2015-06-10
上海积鼎信息科技有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows for efficient use of space by creating an algorithm that can encrypt data on specific areas within it based upon its geometry or shapes.

Problems solved by technology

Technical Problem addressed in this patents relates to developing a new way to visualize internal structures called radiance interference within opaque media such as living cells without being affected by external factors like temperature changes. Current techniques involve calculating multiple variables at once but they cannot accurately determine which parts of these objects should be treated differently due to their complexity.

Method used

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  • Local grid and photon encryption method in radiation energy propagation Monte-Carlo algorithm
  • Local grid and photon encryption method in radiation energy propagation Monte-Carlo algorithm
  • Local grid and photon encryption method in radiation energy propagation Monte-Carlo algorithm

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Embodiment Construction

[0023] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0024] The basic idea of ​​grid and photon encryption when using Monte Carlo method to calculate the propagation and absorption of medium radiation energy is: according to the shape, structure and optical parameters of each component of the medium (abbreviated as component), divide grids of different sizes for each component. For components with strong optical absorption and complex shapes, a smaller grid size should be selected. Subsequently, the number of photons required for Monte Carlo calculation is selected according to the largest grid in the calculation area. When a photon enters a finer grid area during operation, the photon is split into several sub-photons with the same weight to meet the requirements of the finer grid. Requirements for the number of photons in the Gneron Monte Carlo method.

[0025] The present invention at first starts f...

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Abstract

The invention provides a local grid and photon encryption method in a radiation energy propagation Monte-Carlo algorithm. The method includes firstly, selecting grids different in size for different components in propagation media according to optical characteristics and shape structures of the corresponding components; secondly, selecting a total photon number required by optical propagation computation in the propagation media according to the size of the sparsest grid, wherein the total photon number is bound to meet the statistics requirement of the photon energy distribution in the grid when computation is performed according to the size of the sparsest grid, and when entering a small-sized dense grid from a large-sized sparse grid, photons split. The local grid and photon encryption method is put forward according to the optical characteristics and the shape structures of the propagation media on the basis of 'a voxel-based Monte-Carlo method', so that computation efficiency of the Monte-Carlo method is improved greatly.

Description

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Claims

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Application Information

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Owner 上海积鼎信息科技有限公司
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