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1. 发明申请

US20130272829A1 METHOD AND SYSTEM FOR TRACKING MATERIAL 有权
标题翻译：跟踪材料的方法和系统
公开(公告)号：US20130272829A1
公开(公告)日：2013-10-17
申请号：US13824313
申请日：2011-10-28
申请人： Chris Innes , Eric Nettleton , Hugh Durrant-Whyte , Arman Melkumyan
发明人： Chris Innes , Eric Nettleton , Hugh Durrant-Whyte , Arman Melkumyan
IPC分类号： G01N33/24 , B65G67/04
CPC分类号： G01N33/24 , B65G67/04 , G01G19/08
摘要： Methods and systems are described for tracking material through a production chain or operational process chain in which the material is transferred via a plurality of spatially distinct lumped masses of material (12, 14, 16, 18). A dynamic state space (430) is maintained descriptive of the plurality of spatially distinct lumped masses of material, wherein a quantity of entries in the dynamic state space is augmented or diminished dependent on a quantity of spatially distinct lumped masses being tracked. Measurements relating to an observed lumped mass of material are fused into the dynamic state space and a dynamic covariance matrix to provide an updated estimate of material in the plurality of spatially distinct lumped masses of material.
摘要翻译：描述了用于通过生产链或操作过程链跟踪材料的方法和系统，其中材料经由多个空间上不同的集体质量的材料（12,14,16,18）转移。动态状态空间（430）被维持描述多个空间上不同的集中质量的物质，其中动态状态空间中的条目数量被增加或减少，取决于被跟踪的空间上不同的集中质量的数量。与观察到的材料的集体质量有关的测量融合到动态状态空间和动态协方差矩阵中，以提供多个空间上不同的集中质量块中材料的更新估计。

2. 发明授权

US08438121B2 Method and system for data analysis and synthesis 有权
标题翻译：数据分析与综合的方法和系统
公开(公告)号：US08438121B2
公开(公告)日：2013-05-07
申请号：US12779922
申请日：2010-05-13
申请人： Arman Melkumyan , Fabio Tozeto Ramos
发明人： Arman Melkumyan , Fabio Tozeto Ramos
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/62
摘要： A system (100) for analyzing and synthesizing a plurality of sources of sample data (310, 320) by automated learning and regression. The system includes data storage (110) with a stored multi-task covariance function, and an evaluation processor (102) in communication with the data storage (110). The evaluation processor (102) performs regression using the stored sample data and multi-task covariance function and synthesizes prediction data for use in graphical display or digital control.
摘要翻译：一种用于通过自动学习和回归来分析和合成多个样本数据源（310,320）的系统（100）。该系统包括具有存储的多任务协方差函数的数据存储（110）和与数据存储器（110）通信的评估处理器（102）。评估处理器（102）使用所存储的采样数据和多任务协方差函数来执行回归，并且合成用于图形显示或数字控制的预测数据。

3. 发明授权

US09449351B2 Method of characterising a resource 有权
标题翻译：表征资源的方法
公开(公告)号：US09449351B2
公开(公告)日：2016-09-20
申请号：US13378964
申请日：2010-06-15
申请人： Arja Jogita Jewbali , Arman Melkumyan , Fabio Ramos
发明人： Arja Jogita Jewbali , Arman Melkumyan , Fabio Ramos
IPC分类号： G06Q50/02 , G01V1/30 , G01V11/00
CPC分类号： G06Q50/02 , G01V1/30 , G01V11/00 , G01V2210/66
摘要： The present disclosure provides a method of characterizing a resource in a block located in an area. The method comprises the step of providing information concerning a property of the resource for a plurality of sample positions in, at or in the environment of the block. The information is obtained from analyzes of samples from the sample positions. The method further comprises modelling a change in the property along a distance at or within the block using the provided information. The method also comprises calculating parameters associated with the modelled change using Bayes' theorem and calculating a property characteristic of the resource for the block using the calculated parameters.
摘要翻译：本公开提供了表征位于区域中的块中的资源的方法。所述方法包括以下步骤：提供关于所述资源的属性的信息，所述信息在所述块的环境中，在该环境中或在该环境中的多个采样位置。从样品位置的样品分析获得信息。该方法还包括使用所提供的信息来建模在块处或内部的距离处的属性变化。该方法还包括使用贝叶斯定理计算与建模变化相关的参数，并使用计算的参数计算块的资源的属性特征。

4. 发明申请

US20110035346A1 METHOD AND SYSTEM FOR DATA ANALYSIS AND SYNTHESIS 有权
标题翻译：用于数据分析和合成的方法和系统
公开(公告)号：US20110035346A1
公开(公告)日：2011-02-10
申请号：US12779922
申请日：2010-05-13
申请人： Arman Melkumyan , Fabio Tozeto Ramos
发明人： Arman Melkumyan , Fabio Tozeto Ramos
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/62
摘要： A system (100) for analysing and synthesising a plurality of sources of sample data (310, 320) by automated learning and regression. The system includes data storage (110) with a stored multi-task covariance function, and an evaluation processor (102) in communication with the data storage (110). The evaluation processor (102) performs regression using the stored sample data and multi-task covariance function and synthesises prediction data for use in graphical display or digital control.
摘要翻译：一种用于通过自动学习和回归来分析和合成多个样本数据源（310,320）的系统（100）。该系统包括具有存储的多任务协方差函数的数据存储（110）和与数据存储器（110）通信的评估处理器（102）。评估处理器（102）使用存储的样本数据和多任务协方差函数进行回归，并合成用于图形显示或数字控制的预测数据。

5. 发明授权

US08849622B2 Method and system of data modelling 有权
标题翻译：数据建模方法与系统
公开(公告)号：US08849622B2
公开(公告)日：2014-09-30
申请号：US12650444
申请日：2009-12-30
申请人： Arman Melkumyan , Fabio Tozeto Ramos
发明人： Arman Melkumyan , Fabio Tozeto Ramos
IPC分类号： G06F17/10 , G06F7/60 , G06F17/18
CPC分类号： G06F17/18
摘要： A system for large scale data modelling is described. The system includes at least one data measurement sensor (230) for generating measured data, a training processor (240) to determine optimized hyperparameter values in relation to a Gaussian process covariance function including a sparse covariance function that is smooth and diminishes to zero outside of a characteristic hyperparameter length. An evaluation processor (260) determines model data from the Gaussian process covariance function with optimised hyperparameter values and measured data. Also described is methods for modelling date, including a method using a Gaussian process including a sparse covariance function that diminishes to zero outside of a characteristic length, wherein the characteristic length is determined from the data to be modelled.
摘要翻译：描述了一种用于大规模数据建模的系统。该系统包括用于产生测量数据的至少一个数据测量传感器（230），训练处理器（240），用于确定与高斯过程协方差函数相关的优化超参数值，所述高斯过程协方差函数包括平滑的稀疏协方差函数，并且在特征超参数长度。评估处理器（260）从具有优化的超参数值和测量数据的高斯过程协方差函数确定模型数据。还描述了用于建模日期的方法，包括使用包括在特征长度之外减小到零的稀疏协方差函数的高斯过程的方法，其中根据要建模的数据确定特征长度。

6. 发明申请

US20120205963A1 METHOD OF CHARACTERISING A RESOURCE 有权
标题翻译：表征资源的方法
公开(公告)号：US20120205963A1
公开(公告)日：2012-08-16
申请号：US13378964
申请日：2010-06-15
申请人： Arja Jogita Jewbali , Arman Melkumyan , Fabio Ramos
发明人： Arja Jogita Jewbali , Arman Melkumyan , Fabio Ramos
IPC分类号： E21C41/00 , G06F17/10
CPC分类号： G06Q50/02 , G01V1/30 , G01V11/00 , G01V2210/66
摘要： The present disclosure provides a method of characterising a resource in a block located in an area. The method comprises the step of providing information concerning a property of the resource for a plurality of sample positions in, at or in the environment of the block. The information is obtained from analyses of samples from the sample positions. The method further comprises modelling a change in the property along a distance at or within the block using the provided information. The method also comprises calculating parameters associated with the modelled change using Bayes' theorem and calculating a property characteristic of the resource for the block using the calculated parameters.
摘要翻译：本公开提供了表征位于区域中的块中的资源的方法。所述方法包括以下步骤：提供关于所述资源的属性的信息，所述信息在所述块的环境中，在该环境中或在该环境中的多个采样位置。从样品位置的样品分析获得信息。该方法还包括使用所提供的信息来建模在块处或内部的距离处的属性变化。该方法还包括使用贝叶斯定理计算与建模变化相关的参数，并使用计算的参数计算块的资源的属性特征。

7. 发明授权

US09678052B2 Method and system for tracking material 有权
公开(公告)号：US09678052B2
公开(公告)日：2017-06-13
申请号：US13824313
申请日：2011-10-28
申请人： Chris Innes , Eric Nettleton , Hugh Durrant-Whyte , Arman Melkumyan
发明人： Chris Innes , Eric Nettleton , Hugh Durrant-Whyte , Arman Melkumyan
IPC分类号： G06F17/50 , G01N33/24 , G01G19/08 , B65G67/04
CPC分类号： G01N33/24 , B65G67/04 , G01G19/08
摘要： Methods and systems are described for tracking material through a production chain or operational process chain in which the material is transferred via a plurality of spatially distinct lumped masses of material (12, 14, 16, 18). A dynamic state space (430) is maintained descriptive of the plurality of spatially distinct lumped masses of material, wherein a quantity of entries in the dynamic state space is augmented or diminished dependent on a quantity of spatially distinct lumped masses being tracked. Measurements relating to an observed lumped mass of material are fused into the dynamic state space and a dynamic covariance matrix to provide an updated estimate of material in the plurality of spatially distinct lumped masses of material.

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