FEM Validation of Front End and Back End Defects Evolution in AA6063 and AA6082 Aluminum Alloys Profiles

Front − End Nodes Back − End Nodes SWITCH

Daniel M. Dias William Kish Rajat Mukherjee and Renu Tewari IBM Research Division T. J. Watson Research Center P.O. Box 704, Yorktown Heights, NY 10598 fdias, c1kish, rajatm, c1renu [email protected] Abstract We describe a prototype scalable and highly available web server, built on an IBM SP-2 system, and analyze its scalability. The system architecture consists of a set of logical front-end or...

Thermal Assessment of RF Integrated LTCC Front End Module (FEM)

The thermal performance of Front End Module (FEM) incorporating Low Temperature Co-fired Ceramic (LTCC) substrate is investigated. An Infrared Microscope System was used to measure device surface temperature with both RF and DC power at various duty cycles (25 to 100%). The maximum junction temperature (~112°C) occurs at the second stage. By powering the module with DC only, the comparison betw...

Reconciling Pronunciation Differences between the Front- End and Back-end in the Ibm Speech Synthesis System

In this paper, methods for reconciling pronunciation differences between a rule-based front-end and the pronunciations observed in a database of recorded speech are presented. The methods are applied to the IBM Expressive Speech Synthesis System [1] for both unrestricted and limited-domain text-to-speech synthesis. One method is based on constructing a multiple pronunciation lattice for the giv...

Front − Side Switch Middle − Tier Server Back − End Switch Clients Back − End − Tier Server � � � � � �

Front-end, Back-end and Integration Issues in Virtual Supply Chain Dynamics Modeling

In this paper we discuss the way in which dynamic modeling can be used to deal with front-end, back-end and integration issues in current high-tech virtual supply chains (SC). In a first part of the paper we review and propose dynamic modeling options to connect customer value to business targets. This is done by explaining how to characterize target market by formalizing what are often informa...