Biem
Alain Biem, Hawthorne, NY US
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20100265138 | DETERMINING A DIRECTION OF ARRIVAL OF SIGNALS INCIDENT TO A TRIPOLE SENSOR - A system to determine a direction of arrival of each of a plurality of constituent signals of a superimposed wave includes a tripole radio antenna, a sampling unit, a frequency determining unit, an amplitude and phase determining unit, and a direction determining unit. The sampling unit is configured to periodically sample an output of the tripole radio antenna to generate at least two samples. The frequency determining unit is configured to determine frequencies for each dimension of the constituent signals by performing a unitary matrix pencil method on the at least two samples. The amplitude and phase determining unit is configured to determine x, y, z amplitudes and x, y, z phases for each constituent signal using the determined frequencies. The direction determining unit is configured to determine a direction of arrival for each of the constituent signals from the determined frequencies, amplitudes, and phases. | 10-21-2010 |
Alain Biem, Yorktown Heights, NY US
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20150269157 | KNOWLEDGE DISCOVERY IN DATA ANALYTICS - A method for performing assisted knowledge discovery includes receiving a dataset. Each of a plurality of analytical techniques is applied to the received data set to generate a plurality of corresponding analytical results. A composite validation metric is applied to each of the plurality of analytical results. The composite validation metric is a single scoring/ranking function that is created from a plurality of different scoring/ranking functions. The plurality of analytical results is presented to a user arranged in accordance with the results of the applying the composite validation metric to each of the plurality of analytical results. A selection from the user from among the plurality of analytical results is recorded. The user's selection is used to modify the composite validation metric such that the analytical techniques responsible for generating the selected analytical result is scored/ranked more highly. | 09-24-2015 |
Alain E. Biem, Mount Kisco, NY US
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20090201817 | METHOD OF OPTIMIZING A FLOW OF VALUE IN A NETWORK - A method of modeling flow between first and second economic entities (EEs), where the first and second EEs interact either directly or indirectly with other, including defining a network to which the first and second EEs belong, expressing economic interactions of each of the EEs in the network and for each economic interaction, determining first and second value transfers, which are respectively defined as a total of a set of transfers of value from one EE to another, and vice versa, and expressing a flow based on an absolute value of a difference between the first and the second value transfers, determining a value of a wallet of each of the EEs in the network based on external information, and calculating a maximum flow from the first EE to the second EE. | 08-13-2009 |
Alain E. Biem, Yorktown Heights, NY US
Patent application number | Description | Published |
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20140006325 | DETECTING ANOMALIES IN REAL-TIME IN MULTIPLE TIME SERIES DATA WITH AUTOMATED THRESHOLDING | 01-02-2014 |
20140006330 | DETECTING ANOMALIES IN REAL-TIME IN MULTIPLE TIME SERIES DATA WITH AUTOMATED THRESHOLDING | 01-02-2014 |
20140046889 | HYPOTHESIS-DRIVEN, REAL-TIME ANALYSIS OF PHYSIOLOGICAL DATA STREAMS USING TEXTUAL REPRESENTATIONS - A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system. | 02-13-2014 |
20140046890 | HYPOTHESIS-DRIVEN, REAL-TIME ANALYSIS OF PHYSIOLOGICAL DATA STREAMS USING TEXTUAL REPRESENTATIONS - A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system. | 02-13-2014 |
20140358833 | DETERMINING AN ANOMALOUS STATE OF A SYSTEM AT A FUTURE POINT IN TIME - A prediction technique to predict an anomalous state of a processing environment at a future point in time. One or more values of one or more metrics of the processing system are obtained. For the one or more metrics, one or more predicted values are determined for one or more points in time in the future. Based the predicted values, one or more change values for one or more points in time are determined, and based on the one or more change values, a determination is made as to whether an anomalous state exists within the processing system. | 12-04-2014 |
20140359363 | IDENTIFYING ANOMALIES IN ORIGINAL METRICS OF A SYSTEM - An anomalous component within a processing system is identified. One or more transformed metrics of a processing system being monitored are analyzed, and an anomaly in the processing system is detected. Based on detecting the anomaly, at least one transformed metric is inversely transformed to obtain at least one suspect original metric. Using the at least one suspect original metric, the anomalous component is identified. | 12-04-2014 |
20150347217 | DETERMINING AN ANOMALOUS STATE OF A SYSTEM AT A FUTURE POINT IN TIME - A prediction technique to predict an anomalous state of a processing environment at a future point in time. One or more values of one or more metrics of the processing system are obtained. For the one or more metrics, one or more predicted values are determined for one or more points in time in the future. Based the predicted values, one or more change values for one or more points in time are determined, and based on the one or more change values, a determination is made as to whether an anomalous state exists within the processing system. | 12-03-2015 |
Alain E. Biem, Mt. Kisco, NY US
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20160112274 | REAL TIME SIMULATION MONITORING - A method for monitoring at least one simulation program includes capturing, by a computer, a plurality of simulation data from the at least one simulation program, the capturing is performed in real time while the at least one simulation program is continuously streaming the plurality of simulation data, analyzing, by the computer, the captured plurality of simulation data using a streaming data software, identifying a plurality of predefined criteria within the analyzed plurality of simulation data, the plurality of predefined criteria includes at least one of an event, a result and a variable, and providing feedback to the at least one simulation program to modify a plurality of simulation parameters according to the at least one identified event, result and variable. | 04-21-2016 |
Alain Ernest Biem, Mount Kisco, NY US
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20090182596 | METHOD AND SYSTEM OF ANALYZING CHOICES IN A VALUE NETWORK - A method and system of analyzing choices in a value network, includes applying real options analysis to one or more choices. The real options include a present cost and a call value. | 07-16-2009 |