A Semantic Blend Feature Definition

نویسندگان

  • Paulos J. Nyirenda
  • Rafael Bidarra
  • Willem F. Bronsvoort
چکیده

In most current feature modelling systems, blends are modelled as a kind of features too. These systems use a boundary representation (Brep) to describe the shape of a product. It is shown that the practice of basing specification of blends on conventional Breps is ineffective. A solution to this problem is introduced in which blends are described at a higher level. Blends are defined in a feature class, and instances of such a class can be added to a feature model containing relations between all features in the model. Such a semantic description of blends has several merits. In particular, constraints can be defined on them to specify important functional properties, and these properties can be maintained during the whole modelling process through validity maintenance. A new method to determine the shape of a blend, based on its properties, is also demonstrated.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Feature Engineering in Persian Dependency Parser

Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, data-driven dependency parser has been developed with the help of phrase-structure parser fo...

متن کامل

Semantic Feature Analysis Treatment for Anomia of Two Nonfluent Persian-Speaking Aphasic Patients

Objectives: Semantic Feature Analysis was designed to improve lexical retrieval of aphasic patients via activation of semantic networks of the words. In this approach, the anomic patients are cured with semantic information to assist oral naming. The purpose of this study was to examine the effects of Semantic Feature Analysis treatment on anomia of two nonfluent aphasic patients. Methods: A...

متن کامل

The Impact of L2 Semantic Tasks (L2 Collocation versus L2 Definition) on Iranian Intermediate EFL Learners’ Vocabulary Achievement

This study investigated the relationship between teaching L2 semantic tasks (collocation vs. definition) in vocabulary achievement of Iranian intermediate EFL learners. To this end, 60 students at intermediate level studying in the Simin Institute were selected from a total number of 100 participants based on their performance on Oxford Placement Test. After ensuring the criterion of homogeneit...

متن کامل

Bridging the semantic gap for software effort estimation by hierarchical feature selection techniques

Software project management is one of the significant activates in the software development process. Software Development Effort Estimation (SDEE) is a challenging task in the software project management. SDEE is an old activity in computer industry from 1940s and has been reviewed several times. A SDEE model is appropriate if it provides the accuracy and confidence simultaneously before softwa...

متن کامل

Semantic Preserving Data Reduction using Artificial Immune Systems

Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007