Abstract: A method and system of evaluating a turbine component comprises obtaining data relating to respective surface conditions at a plurality of different surface locations of the turbine component and calculating the total profile efficiency loss for the turbine component based on the data. Calculating the total profile efficiency of the turbine component may include calculating the local profile efficiency loss percentage for each of the surface conditions at the different surface locations (and/or sub-areas of the different surface locations) and calculating an average of the local profile efficiency loss percentages, each of the local efficiency loss percentages being weighted by respective predetermined weight factors. The turbine component may be a nozzle or a bucket and each of the turbine component's surface locations may be an admission suction surface, an admission pressure surface, a discharge suction surface or a discharge pressure surface.

Abstract: Computerized systems and methods for acquiring and disseminating information using a mail client system including an application operable for generating and incorporating a plurality of messages and one or more message handlers in communication with the application and the mail client system, the one or more message handlers operable for attaching identifying information to each of the plurality of messages. The systems and methods also including a definition operable for translating each of the plurality of messages such that each of the plurality of messages may be understood by the one or more message handlers and a communications network operable for transmitting each of the plurality of messages between the application, the one or more message handlers, and the mail client system.

Abstract: A scheduling method provides for the placement of promotions within a broadcast schedule for providing maximum effect. Broadcast networks typically allow a set amount of time per hour in order to broadcast promotions for their own shows. A goal when scheduling these promotions is to reach the largest audience of the desired demographic. For example, it is advantageous to schedule promotions for dramatic shows during other dramatic shows and promotions for comedies during comedies. Other criteria may be employed in order to maximize the effect. The method described herein, calculates a reward function for every promotion against each show in the schedule, and through further analysis automatically schedules promotions during television shows to provide an optimal effect.

Abstract: A system and method for predicting the timing and costs of future service events. A scheduler determines a list of future service events for the product. A simulator simulates each of the listed future service events for the product and predicts the costs associated with the events. The list of the future service events and the total of the predicted costs are aggregated into a prediction that may be used in offering long term service agreements to maintain the product.

Abstract: A method and system for matching new customer records to existing customer records in a database. The new customer records are validated for quality and normalized into a standard form. A hash key is selected to generate a candidate set of records from the existing records in the database that likely matches the new customer records. The new customer records are then matched to each of the records in the candidate set. Once the matching has been performed, a decision is made on whether to create a new customer record, update an existing record, or save the new record in a pending file for resolution at a later time. In another embodiment, there is a methodology for learning matching rules for matching records in a database. The matching rules are then used for matching a new customer record to existing records in a database.

Abstract: In this invention there is a method and system for matching new customer records to existing customer records in a database. The new customer records are validated for quality and normalized into a standard form. A hash key is selected to generate a candidate set of records from the existing records in the database that likely matches the new customer records. The new customer records are then matched to each of the records in the candidate set. Once the matching has been performed, a decision is made on whether to create a new customer record, update an existing record, or save the new record in a pending file for resolution at a later time. In another embodiment, there is a methodology for learning matching rules for matching records in a database. The matching rules are then used for matching a new customer record to existing records in a database.