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77 results about "Deterministic method" patented technology

Deterministic Methods. In practice, the deterministic methods are the simplest and most common methods for establishing the cost contingency reserve fund. The term “deterministic” implies that the cost contingency is determined as a single point estimate, typically as a percentage of the base cost estimate.

Distributing fault indications and maintaining and using a data structure indicating faults to route traffic in a packet switching system

Methods and apparatus are disclosed for distributing fault indications and maintaining and using a data structure indicating faults to route traffic in a packet switching system. In one embodiment, a packet switching system detects faults and propagates indications of these faults to the input interfaces of a packet switch, so the packet switch can adapt the selection of a route over which to send a particular packet. Faults are identified by various components of the packet switching system and relayed to one or more switching components to generate a broadcast packet destined for all input ports (i.e., to each I / O interface in a packet switch having folded input and output interfaces). Other embodiments, generate one or more multicast or unicast packets. The I / O interface maintains one or more data structures indicating the state of various portions of the packet switching system. In one embodiment, an output availability table is maintained indicating over which path a particular destination may be reached, as well as a link availability vector indicating which output likes of the input interface may be currently used. Using these as masks against possible routes in a fully functional system, the packet switching component (e.g., I / O interface) can identify which routes are currently available for reaching the destination of the received packet. These routes can then be selected between using one of numerous deterministic and non-deterministic methods.
Owner:CISCO TECH INC +1

Deterministic computation of radiation doses delivered to tissues and organs of a living organism

Various embodiments of the present invention provide methods and systems for deterministic calculation of radiation doses, delivered to specified volumes within human tissues and organs, and specified areas within other organisms, by external and internal radiation sources. Embodiments of the present invention provide for creating and optimizing computational mesh structures for deterministic radiation transport methods. In general these approaches seek to both improve solution accuracy and computational efficiency. Embodiments of the present invention provide methods for planning radiation treatments using deterministic methods. The methods of the present invention may also be applied for dose calculations, dose verification, and dose reconstruction for many different forms of radiotherapy treatments, including: conventional beam therapies, intensity modulated radiation therapy (“IMRT”), proton, electron and other charged particle beam therapies, targeted radionuclide therapies, brachytherapy, stereotactic radiosurgery (“SRS”), Tomotherapy®; and other radiotherapy delivery modes. The methods may also be applied to radiation-dose calculations based on radiation sources that include linear accelerators, various delivery devices, field shaping components, such as jaws, blocks, flattening filters, and multi-leaf collimators, and to many other radiation-related problems, including radiation shielding, detector design and characterization; thermal or infrared radiation, optical tomography, photon migration, and other problems.
Owner:TRANSPIRE

Radiation shielding calculation method based on monte carlo self-adaptive variance reduction

The invention discloses a radiation shielding calculation method based on monte carlo self-adaptive variance reduction. Based on a traditional monte carlo method based on weight window variance reduction, according to the specific condition that a deterministic method of the traditional monte carlo method accompanies the flux calculation result, importance parameters are worked out, the parameters are written into an input file of a radiation shielding calculation program based on the monte carlo, and then radiation shielding calculation is conducted. In the process of radiation shielding calculation based on the monte carlo, when the importance parameters obtained in the previous step conduct bias transport on particles while a particle track is stored, that is, lattice cells where all the particles pass are given, a user is helped to automatically interfere with and adjust the set of geometric regional importance parameters in the simulation process, new lattice cell importance parameters are used in the subsequent calculation, and automatic bias is achieved. By means of the radiation shielding calculation method based on monte carlo self-adaptive variance reduction, using of the traditional monte carlo method based on the experimental weight window variance reduction is avoided, and the effects of conducting radiation shielding calculation accurately and rapidly are achieved.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI

System and method for rendering images using a strictly-deterministic methodology for generating a coarse sequence of sample points

A system and method for generating sample points that can generate the sample points in parallel. The sample points can be used in processing in parallel, with the results subsequently collected and used as necessary in subsequent rendering operations. Sample points are generated using a coarse Halton sequence, which makes use of coarse radical inverse values Φbi,M(j) as follows:
Φbi,M(j)=Φb(jM+i)
where base “b” is preferably a prime number, but not a divisor of “M,” and “i” is an integer. Using this definition, the s-dimensional coarse Halton sequence USCHal,i,M, which may be used to define sample points for use in evaluating integrals, is defined as
UsCHal,i,M=(Φb1i,M(j), . . . , Φb<sub2>s</sub2>i,M(j))
where b1, . . . , bs are the first “s” prime numbers that are not divisors of “M.” Each value of “i” defines a subsequence that is a low-discrepancy sequence, and so can be used in connection with processing. Similarly, the union of all subsequences for all values of “i” between “zero” and “M−1” is also a low-discrepancy sequence, so results of processing using the coarse Halton sequences for all such values of “i” can be collected together and used in the same manner as if the results had been generated using a Halton sequence to define the sample points.
Owner:MENTAL IMAGES
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