Giancaspro
Carlo Giancaspro, Sacrofano IT
Patent application number | Description | Published |
---|---|---|
20110246551 | ADAPTIVE MULTIFUNCTION MISSION SYSTEM - The present invention concerns a mission system that comprises at least an operator station suitable for being operated by a human operator, at least a mission agent suitable, in use, for being used to carry out an operational mission and a mission control system. The mission control system comprises a server mission software module operatively coupled to the operator station and a client mission software module operatively coupled to the mission agent. The server mission software module is suitable, in use, for being operated by a human operator to define the operational mission by means of a mission plan comprising at least one mission activity to be carried out and at least one operating rule for carrying out the mission activity. The server mission software module is also able, in use, to communicate the mission plan to the mission agent. The client mission software module comprises at least a behaviour rule to be respected in order to carry out the mission activity and is able, in use, to receive the mission plan and to make the mission agent carry out the mission activity according to the operating rule and the behaviour rule. | 10-06-2011 |
James W. Giancaspro, Miami Beach, FL US
Patent application number | Description | Published |
---|---|---|
20110144924 | COMPUTATIONAL METHOD FOR LOAD ENHANCEMENT FACTORS - The computation of a Load Factor, a Life Factor or a Load Enhancement Factor using Modified Joint Weibull Analysis may include retrieving a test data set from at least one database and analyzing the data retrieved for fit with a Weibull distribution model for the data. The test data may be analyzed to determine if at least two coupons have been tested and if both the applied loads and duration of testing at the component-level were varied. At least one shape parameter may be calculated for the Weibull distribution model after which the shape parameter may be stored. At least one scale parameter may be calculated for the Weibull distribution of the data after which the scale parameter may be stored. A stress to life cycle relationship may also be calculated to account for scatter in the data through the Weibull distribution data. At least one of the Life Factor, the Load Factor and the Load Enhancement Factor may be calculated based on the stress to life cycle relationship to account for scatter in the Life Factor, the Load Factor or the Load Enhancement Factor. | 06-16-2011 |
Vincent J. Giancaspro, Wappingers Falls, NY US
Patent application number | Description | Published |
---|---|---|
20140121805 | AUTOMATED DATA-DRIVEN CLOSED-LOOP-FEEDBACK METHOD FOR ADAPTIVE & COMPARATIVE QUALITY CONTROL IN A DISCRETE DATA AGGREGATION ENVIRONMENT - A method for determining quality includes receiving supplier quality data from a supplier. The supplier quality data includes discrete quality data. The supplier quality data is for a quantity of a component supplied to a company or for a service provided on behalf of the company over a supplier measurement period. The method includes aggregating quality data from two or more suppliers. The quality data is for the supplied component or provided service over a baseline time period. The method includes determining a quality benchmark using the aggregated quality data and setting one or more alarm levels. The alarm levels are based on the quality benchmark of the aggregated quality data. The method includes determining supplier quality level for the supplier for the supplier measurement time period. The supplier quality is based on the supplier quality data. The method includes determining if the supplier quality data exceeds an alarm level. | 05-01-2014 |