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1. 发明申请

WO2022192204A1 SYSTEM AND METHOD FOR INVERSE TREATMENT PLANNING FOR RADIATION THERAPY 审中-公开
公开(公告)号：WO2022192204A1
公开(公告)日：2022-09-15
申请号：PCT/US2022/019275
申请日：2022-03-08
申请人： THE GENERAL HOSPITAL CORPORATION , TILBURG UNIVERSITY
发明人： BORTFELD, Thomas , AJDARI, Ali , EIKELDER, Stefan, Ten , HERTOG, Dirk, Den
IPC分类号： A61N5/00 , A61N5/06 , G06F7/60 , G06F17/10
摘要： Systems and methods are provided for determining a treatment plan for a radiation therapy system. The method includes dividing a three-dimensional volume of a patient into a grid of dose voxels, wherein at least a portion of said dose voxels are designated to belong to at least one target or to at least one critical structure. The method also includes modeling an ionizing radiation dose as delivered by a plurality of beamlets each having a beamlet fluence, to create a modeled radiation dose fluence map. The method also includes determining a voxel-based fluence map optimization (FMO) model for the modeled radiation dose a fluence map. The method also includes determining a conic optimization formulation for the FMO model to create a determined conic optimization solution and generating an optimized fluence map by updating the modeled radiation dose fluence map with the determined conic optimal fluence map.

2. 发明申请

WO2022140156A1 METHOD AND APPARATUS TO DELIVER THERAPEUTIC ENERGY TO A PATIENT USING MULTI-OBJECTIVE OPTIMIZATION 审中-公开
公开(公告)号：WO2022140156A1
公开(公告)日：2022-06-30
申请号：PCT/US2021/063813
申请日：2021-12-16
申请人： VARIAN MEDICAL SYSTEMS, INC.
发明人： KHUNTIA, Deepak , ZANKOWSKI, Corey E. , AMBEKAR, Paritosh , MASLOWSKI, Alexander E.
IPC分类号： G06F7/60 , G06N3/12
摘要： These teachings include accessing (201, 202) energy dosing information along with at least one quality-of-care model that correlates at least one categorical energy-based treatment patient quality-of-care outcome with at least one resultant energy-based treatment description. The model can be created via probabilistic mapping that maps patient impact information to dose impartation information to infer non-biological impact to a patient. A patient treatment plan can be optimized for a particular patient (104) as a function of the foregoing information to provide corresponding resultant benefit trade-of evaluation information. This benefit trade-off evaluation information can be displayed (204) to a user to permit the user to explore the benefit trade-off evaluation information to thereby identify a resultant energy-based treatment plan (113) having a selected balance between dosing a treatment target (105) with energy and a quality-of-care impact on the particular patient (104).

3. 发明申请

WO2022086791A1 DETECTING INFINITE LOOPS IN A PROGRAMMABLE ATOMIC TRANSACTION 审中-公开
公开(公告)号：WO2022086791A1
公开(公告)日：2022-04-28
申请号：PCT/US2021/055050
申请日：2021-10-14
申请人： MICRON TECHNOLOGY, INC.
发明人： BREWER, Tony M.
IPC分类号： G06F9/46 , G06F9/30 , G06F7/60 , G06F15/78 , G06F15/163
摘要： Disclosed in some examples are systems, methods, devices, and machine-readable mediums to detect and terminate programmable atomic transactions that are stuck in an infinite loop. In order to detect and terminate these transactions, the programmable atomic unit may use an instruction counter that increments each time an instruction is executed during execution of a programmable atomic transaction. If the instruction counter meets or exceeds a threshold instruction execution limit without reaching the termination instruction, the programmable atomic transaction may be terminated, all resources used (e.g., memory locks) may be freed, and a response may be sent to a calling processor.

4. 发明申请

WO2022046889A1 FLEX REPRESENTATION IN COMPUTER AIDED DESIGN AND COMPUTER AIDED ENGINEERING 审中-公开
公开(公告)号：WO2022046889A1
公开(公告)日：2022-03-03
申请号：PCT/US2021/047528
申请日：2021-08-25
申请人： COREFORM LLC
发明人： SCOTT, Michael A.
IPC分类号： G06F7/60
摘要： Embodiments are presented for Flex Representation in Computer Aided Design (CAD) and Computer Aided Engineering (CAE). The Flex Representation Method (FRM) leverages unique computational advantages of splines to address limitations in the process of building CAE simulation models from CAD geometric models. Central to the approach is the envelope CAD domain that encapsulates a CAD model. An envelope CAD domain can be of arbitrary topological and geometric complexity. Envelope domains are constructed from spline representations, like U-splines, that are analysis-suitable. The envelope CAD domain can be used to approximate none, some, or all of the features in a CAD model. This yields additional simulation modeling options that simplify the model-building process while leveraging the properties of splines to control the accuracy and robustness of computed solutions. The potential of the method is illustrated through several carefully selected benchmark problems.

5. 发明申请

WO2020234557A1 STATISTICAL MODE DETERMINATION 审中-公开
公开(公告)号：WO2020234557A1
公开(公告)日：2020-11-26
申请号：PCT/GB2020/050793
申请日：2020-03-25
申请人： ARM LIMITED
发明人： ÖZER, Emre , KUFEL, Jedrzej , EYOLE, Mbou , BIGGS, John Philip
IPC分类号： G06F7/544 , G06F7/22 , G06F7/60
摘要： Apparatuses, methods of operating apparatuses, and corresponding computer programs are disclosed. In the apparatuses input circuitry receives input data comprising at least one data element and shift circuitry generates, for each data element of the input data, a bit-map giving a one-hot encoding representation of the data element, wherein a position of a set bit in the bit-map is dependent on the data element. Summation circuitry generates a position summation value for each position in the bit-map, wherein each position summation value is a sum across all bit-maps generated by the shift circuitry from the input data. Maximum identification circuitry determines at least one largest position summation value generated by the summation circuitry and output circuitry to generate an indication of at least one data element corresponding to the at least one largest position summation value. The statistical mode of the data elements in the input data is thereby efficiently determined.

6. 发明申请

WO2016069498A1 TEMPORAL PROCESSES FOR AGGREGATING MULTI DIMENSIONAL DATA COLLECTION FROM DISCRETE AND DISTRIBUTED COLLECTORS USING MACHINE-TO-MACHINE NETWORKS AND SMARTPHONES TO PROVIDE ENHANCED SPACE-TIME PERSPECTIVE FOR MONITORING CHANGES USING ALGORITHMIC TECHNIQUES 审中-公开
标题翻译：使用机器到机器网络和智能网络来提取分散式收集器的多维数据采集的时间过程，以提供使用算法技术监测变化的增强空间时间视图
公开(公告)号：WO2016069498A1
公开(公告)日：2016-05-06
申请号：PCT/US2015/057421
申请日：2015-10-26
申请人： GALILEO GROUP, INC.
发明人： BARNES, Donald, Michael , GRICHNIK, James, Michael
IPC分类号： G06T3/00 , G06T5/00 , G06T7/00 , G06T7/40 , G06F7/60 , G06T15/00 , G06T17/00 , G06F17/30 , H04N5/232
CPC分类号： G06T15/08 , G01C19/5776 , G06T7/40 , G06T7/74 , G06T15/04 , G06T17/20 , G06T2200/04 , G06T2200/08 , G06T2207/10028 , G06T2207/30196 , G06T2207/30241 , G06T2207/30244 , G06T2215/16 , H04N5/23206 , H04N5/23219
摘要： At a central controlling system, a composite map is constructed based on a previous dataset that includes (A) images of a target obtained by imaging devices at a first time, and (B) respective meta data associated with the images. Imaging devices collect image data during a second time after the first time. In accordance with the composite map, the imaging devices obtain images of the target and associate meta data with the images. The images and respective meta data are communicated to the central controlling system. The positions and orientations of the imaging devices when the respective images were obtained, and when the images were obtained, are used to index the images against the target, thereby aggregating multi-dimensional data for the target. Temporal information about a characteristic of the target over time is then extracted from the aggregated multi-dimensional data.
摘要翻译：在中央控制系统中，基于先前的数据集构建复合图，所述数据集包括：（A）通过第一时间成像设备获得的目标的图像，以及（B）与图像相关联的各个元数据。成像设备在第一次第二次之后收集图像数据。根据复合图，成像装置获取目标图像并将元数据与图像相关联。图像和各个元数据被传送到中央控制系统。获得各图像时的成像装置的位置和取向，以及当获得图像时，用于将图像与目标进行索引，从而聚合目标的多维数据。然后从聚合的多维数据中提取关于目标随时间变化的特征的时间信息。

7. 发明申请

WO2015157798A1 METHOD OF PROCESSING STATISTICAL DATA 审中-公开
标题翻译：处理统计数据的方法
公开(公告)号：WO2015157798A1
公开(公告)日：2015-10-22
申请号：PCT/AU2015/000218
申请日：2015-04-14
申请人： BIOMETIX PTY LTD
发明人： DUNSTONE, Edward, Simon
IPC分类号： G06F17/30 , G06F17/40 , G06F7/60 , G06K9/00
CPC分类号： G06F17/18 , G06F17/30554 , G06K9/6284 , G06N99/005
摘要： A method of performing statistical analysis, including outlier detection and anomalous behaviour identification, on large or complex datasets. Multiple analyses may be performed rapidly, on the complete dataset, without sub-sampling or approximations. Large statistical datasets (which may be distributed) may be analysed, assessed, investigated and managed in an interactive fashion as a part of a production system or for ad-hoc analysis. The method involves first processing the data into histograms and storing them. Then these histograms can be manipulated to provide conventional statistical results in an interactive manner. The method also provides a method whereby these histograms can be updated over time, rather than being reprocessed each time they are to be used. It has particular benefit to two class probabilistic systems, where results need to be assessed on the basis of false-positives and false-negatives. A method of displaying, interacting and collaborating with derived statistical data is also disclosed.
摘要翻译：在大型或复杂数据集上执行统计分析的方法，包括异常值检测和异常行为识别。可以在完整的数据集上快速执行多个分析，无需进行子采样或近似。可以以交互方式分析，评估，调查和管理大型统计数据集（作为生产系统的一部分）或进行特别分析。该方法包括首先将数据处理成直方图并存储它们。然后可以操纵这些直方图以便以交互方式提供常规的统计结果。该方法还提供了一种可以随时间更新这些直方图的方法，而不是每当它们被使用时被重新处理。它对两类概率系统特别有好处，其中结果需要根据假阳性和假阴性进行评估。还公开了一种显示，交互和与导出的统计数据进行协作的方法。

8. 发明申请

WO2014209484A1 METHODS AND SYSTEMS FOR EVALUATING PREDICTIVE MODELS 审中-公开
标题翻译：用于评估预测模型的方法和系统
公开(公告)号：WO2014209484A1
公开(公告)日：2014-12-31
申请号：PCT/US2014/035661
申请日：2014-04-28
申请人： CITIGROUP TECHNOLOGY, INC.
发明人： RAMACHANDRAN, Raji , LUSTIG, Scott , JOYCE, H., Ian , JUGULUM, Rajesh , POLANCO, Eliud , VITHALA, Satya , GUGGGENHEIMER, Ron , HUOVILAINEN, Sami , SINGH, Jagmeet , GRANESE, Robert
IPC分类号： G06F7/60 , G06F17/10
CPC分类号： G06Q30/0202
摘要： Multidimensional methods and systems for evaluating and comparing predictive models involve, for example, receiving data related to predictions produced by each of a plurality of different predictive models and determining a score for each of a plurality of dimensions for each of the predictive models. A composite score may be calculated for each of the predictive models based at least partly on the dimension scores, and a recommendation may be generated based on comparing the composite scores.
摘要翻译：用于评估和比较预测模型的多维方法和系统涉及例如接收与由多个不同预测模型中的每一个产生的预测有关的数据，并为每个预测模型确定多个维度中的每一个的分数。可以至少部分地基于维度分数来计算每个预测模型的综合得分，并且可以基于比较复合分数来生成推荐。

9. 发明申请

WO2014200910A3 BIOINFORMATIC PROCESSES FOR DETERMINATION OF PEPTIDE BINDING 审中-公开
公开(公告)号：WO2014200910A3
公开(公告)日：2014-12-18
申请号：PCT/US2014/041523
申请日：2014-06-09
申请人： IOGENETICS, LLC
发明人： BREMEL, Robert D. , HOMAN, Jane
IPC分类号： A61K38/00 , A61K38/04 , A61K39/00 , G06F7/60 , G06E1/00 , G01N33/53
摘要： This invention relates to the identification of peptide binding to ligands, and in particular to identification of epitopes expressed by microorganisms and by mammalian cells. The present invention provides polypeptides comprising the epitopes, and vaccines, antibodies and diagnostic products that utilize or are developed using the epitopes.

10. 发明申请

WO2014092918A1 TECHNIQUES FOR ITERATIVE REDUCTION OF UNCERTAINTY IN WATER DISTRIBUTION NETWORKS 审中-公开
标题翻译：在水分配网络中迭代减少不确定度的技术
公开(公告)号：WO2014092918A1
公开(公告)日：2014-06-19
申请号：PCT/US2013/069874
申请日：2013-11-13
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： BA, Amadou , FUSCO, Francesco , VERSCHEURE, Olivier
IPC分类号： G06F7/60
CPC分类号： G06F17/5009 , G06F17/5004 , G06Q10/04 , G06Q10/043 , G06Q10/06 , G06Q50/06
摘要： In one aspect, a method for reducing uncertainty in a hydraulic model of a water distribution network due to uncertain parameters and faults in the water distribution network is provided which includes the steps of: (i) calculating an optimized placement of sensors throughout a given uncertain section of the water distribution network; (ii) collecting data from the sensors; (iii) partitioning the given uncertain section of the water distribution network into observable and unobservable sub-sections based on the hydraulic model and a) a position, b) a number, and/or c) a type of the sensors that are available; (iv) correcting uncertain parameters and identifying faults for each of the observable sub-sections; (v) calculating a global uncertainty value for each of the unobservable sub-sections; and (vi) repeating the steps (i)-(vi) iteratively, at each iteration selecting an uncertain sub-section of the water distribution network, until no uncertain sub-sections of the water distribution network remain.
摘要翻译：在一方面，提供了一种由于配水网络中不确定的参数和故障而降低配水网络的液压模型的不确定性的方法，其包括以下步骤：（i）计算传感器在给定不确定度下的优化布置配水网段; （ii）从传感器收集数据; （iii）基于液压模型将配水网络的给定不确定部分划分为可观察和不可观察的子部分，以及a）位置，b）数量和/或c）可用的传感器的类型; （iv）纠正每个可观察子部分的不确定参数和识别故障; （v）计算每个不可观察的子部分的全局不确定性值; 和（vi）迭代地重复步骤（i） - （vi），在每次重复选择配水网络的不确定子部分时，直到没有不确定的配水网络的子部分保持。

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