this paper we give an overview of the language and discuss the prototype tool set which has been developed to support the use of interworkings. 1. Introduction

PROGRAM PROJECT TASK IWORK UNIT ELEMENT NO. NO. NO jACCESSON NO.

Prototyping is an important technique to reduce the cost and risk involved in developing complex software systems [Rudd 94]. It essentially involves building a small scale version of a complex system in order to acquire critical knowledge required to build the system. Even though prototyping

Abstract not found

with the proposed system, which incorporates rapid prototyping software development tools, a user-friendly graphical user interface (GUI), a DC motor with feedback, a motor drive, and a low-cost digital signal processor (DSP) to carry out the control algorithm. This workstation provides a flexible, low-cost control

for this emerging research domain, no description that can be followed during the creation of these types of interactions. As a result, designers face limitations in prototyping these systems. In this thesis, we share our systematic approach to envisioning, prototyping, and iteratively developing these interaction

“A good design is better than you think ” (Rex Heftman, cited by Raskin, 2000). Design is about making choices. In many fields that require creativity and engineering skill, such as architecture or automobile design, prototypes both inform the design process and help designers select the best

Abstract. We make the suggestion that instead of implementing cus-tom index structures and query evaluation algorithms, IR researchers should simply store document representations in a column-oriented rela-tional database and write ranking models using SQL. For rapid prototyp-ing

This paper describes work on the automatic localization and correction of pronunciation errors; this work was part of a project aimed at integrating speech recognition technology into a pronunciation training system for adult, intermediate level learners. Although the technologies described here are in principle valid for any language pairs, the current system focuses on Italian and German learners of English. The first goal of the system is—given a successfully-recognized utterance from the student—to find areas that are likely to contain pronunciation errors. This so-called localization of errors is carried out using the confidence scores provided by the HMM-based recognizer for each word and phone. These confidence scores are computed using Gaussian classifiers that use predictors for broadphonetic classes to compare the acoustic likelihoods of the recognized phones vs the likelihoods of the most likely state in the model and of the background model. Phones (or words) can be classified as correct or incorrect (localized) by comparing the confidence score to a threshold. Diagnosis follows as a second stage; diagnosis means trying to discover how each localized word varied from the canonical pronunciation. A set of mother-tongue specific letter-to-phone and phoneto-phone rules is applied to the word in order to produce candidate mispronunciations. Each of these

We describe a prototype tool for flow analysis. The purpose of the tool is to statically analyse C programs in intermediate code format, and to calculate flow information, like loop bounds. This information will be used by a subsequent low-level analysis to calculate a final worst case execution