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Guralnik
Valerie Guralnik, Mound, MN US
| Patent application number | Description | Published |
|---|---|---|
| 20090307772 | FRAMEWORK FOR SCALABLE STATE ESTIMATION USING MULTI NETWORK OBSERVATIONS - A framework for state estimation using multi-network observation. Highly scalable qualitative probabilistic algorithms may be used to combine noisy, uncertain outputs having multi-modal event data from numerous networks into a relatively accurate and coherent estimate of the system state. Models of disparate networks may be pulled together to result in unified multi-modal event data. Information from multiple networks may be graphed and analyzed. | 12-10-2009 |
| 20100287130 | SIGNAL MANAGEMENT SYSTEM FOR BUILDING SYSTEMS - A system and approach for efficient algorithmic signal management for buildings. When a set of signals is received, attributes of the signals may be extracted from a database. The attributes of the signals may be matched against the rule conditions in the database. The matches may be compared to the rules to find the rules which have all of the conditions satisfied. These rules may be executed to modify the further processing of the signals. A signal for instance may be an alarm. | 11-11-2010 |
Valerie Guralnik, Orono, MN US
| Patent application number | Description | Published |
|---|---|---|
| 20080294374 | PRINCIPAL COMPONENT ANALYSIS BASED FAULT CLASSIFICATION - Principle Component Analysis (PCA) is used to model a process, and clustering techniques are used to group excursions representative of events based on sensor residuals of the PCA model. The PCA model is trained on normal data, and then run on historical data that includes both normal data, and data that contains events. Bad actor data for the events is identified by excursions in Q (residual error) and T2 (unusual variance) statistics from the normal model, resulting in a temporal sequence of bad actor vectors. Clusters of bad actor patterns that resemble one another are formed and then associated with events. | 11-27-2008 |
| 20100228692 | SYSTEM AND METHOD FOR MULTI-MODAL BIOMETRICS - A system and method relate to multi-modal biometrics. A single modality score is generated for each of a plurality of biometric modalities. A classifier is selected from a database of multi-modal classifiers, and a multi-modal fusion is applied to the single modality scores using the classifier. The single modality scores are then aggregated. A context dependent model is generated, and a measure of the context in which the biometric samples were obtained is applied to the aggregated single modality scores. It is then determined whether there is a match between two or more biometric samples. | 09-09-2010 |
Valerie Guralnik, Eden Prairie, MN US
| Patent application number | Description | Published |
|---|---|---|
| 20090063439 | System and Method for Efficiently Providing a Recommendation - A system and method for applying a first filter and a second filter, such as a recommendation and a constraint filter, to a plurality of items, including determining a cost of applying the first filter and the second filter to the plurality of items, and determining an order of applying the first and second filters based on the cost of applying the first and second filters. | 03-05-2009 |