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Agus Priatna, Ballwin, MO US
| Patent application number | Description | Published |
|---|---|---|
| 20100052675 | System for Image Acquisition With Fast Magnetic Resonance Gradient Echo Sequences - A system uses a three-dimensional spoiled gradient recalled echo sequence for fat suppression with reduced total acquisition time suitable for acquiring image data under breath-hold conditions using a reversed asymmetry during data acquisition on an opposed phase echo. A system reduces RF pulse repetition time in an MR imaging pulse sequence in an MR imaging device. The system includes an RF pulse generator for generating an RF excitation pulse sequence having a pulse repetition interval. A read-out gradient magnetic field generator generates an asymmetric read-out gradient magnetic field having a readout gradient mid-point occurring prior to an RF echo pulse peak. The RF echo pulse peak is received in response to a generated RF excitation pulse. | 03-04-2010 |
Agus Subagyo, Hokkaido JP
| Patent application number | Description | Published |
|---|---|---|
| 20110062419 | FIELD EFFECT TRANSISTOR AND METHOD FOR MANUFACTURING THE SAME - Provided is a carbon nanotube field effect transistor manufacturing method wherein carbon nanotube field effect transistors having excellent stable electric conduction property are manufactured with excellent reproducibility. After arranging carbon nanotubes to be a channel on a substrate, the carbon nanotubes are covered with an insulating protection film. Then, a source electrode and a drain electrode are formed on the insulating protection film. At this time, a contact hole is formed on the protection film, and the carbon nanotubes are connected with the source electrode and the drain electrode. Then, a wiring protection film, a conductive film and a plasma CVD film are sequentially formed on the insulating protection film, the source electrode and the drain electrode. In the field effect transistor thus manufactured, since the carbon nanotubes to be the channel are not contaminated and not damaged, excellent stable electric conductive property is exhibited. | 03-17-2011 |
Agus Subagyo US
| Patent application number | Description | Published |
|---|---|---|
| 20110180427 | Method for Sensing a Substance to be Detected in a Sample - A single-electron transistor comprising at least a substrate, a source electrode and a drain electrode formed on top of the substrate opposing to each other, and a channel arranged between the source electrode is disclosed wherein the channel is composed of ultra fine fibers. By having such a constitution, a sensor can have excellent sensitivity. | 07-28-2011 |
Agus Subagyo, Sapporo-Shi JP
| Patent application number | Description | Published |
|---|---|---|
| 20110183438 | Method for Sensing a Substance to be Detected in a Sample - A single-electron transistor comprising at least a substrate, a source electrode and a drain electrode formed on top of the substrate opposing to each other, and a channel arranged between the source electrode is disclosed wherein the channel is composed of ultra fine fibers. By having such a constitution, a sensor can have excellent sensitivity. | 07-28-2011 |
Agus Sudjianto, Matthews, NC US
| Patent application number | Description | Published |
|---|---|---|
| 20090063361 | Risk and Reward Assessment Mechanism - A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios. | 03-05-2009 |
| 20100293107 | Risk and Reward Assessment Mechanism - A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios. | 11-18-2010 |
Agus Sudjianto, Charlotte, NC US
| Patent application number | Description | Published |
|---|---|---|
| 20090327036 | DECISION SUPPORT SYSTEMS USING MULTI-SCALE CUSTOMER AND TRANSACTION CLUSTERING AND VISUALIZATION - Systems, methods and consumer-readable media for using multi-scale customer and transaction clustering and visualization according to the invention have been provided. Systems and methods according to the invention may use program code to obtain customer transaction data and categorize obtained customer transaction data. The systems and methods may also analyze the categorized customer transaction data in order to identify patterns among the data. The systems and methods may also use the identified patterns to isolate a selected number of behavioral factors and group customers into population segments based on the behavioral factors. | 12-31-2009 |