به نام خدا
Title: Design for rebirth (DFRb) and data structure
Author: Christian Mascle
Abstract: In this paper, rebirth, the methodology of design for rebirth antedate structure which it requires will be examined. Rebirth is a global strategy of product analysis for sustainable development. A methodology is developed to conceive a product according to objectives defined by its end of life and its generic engineering requirements, and this methodology is implanted in a framework. Our data structure is based on topological information from a boundary representation (B-rep) model and it processes all information relative to the life cycle of the product. The software, based on this data structure, allows predefining certain characteristics based on knowledge of the company or on the data base. This facilitates its use for a wide range of applications.
Publish Year: 2013
Published in: International Journal of Production Economics - Science Direct
Number of Pages: 12
موضوع: پایگاه داده
ایران سای – مرجع علمی مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: A Machine Learning-based Usability Evaluation Method for eLearning Systems
Authors: Asil Oztekin, Dursun Delen, Ali Turkyilmaz, Selim Zaim
Abstract: The research presented in this paper proposes a new machine learning-based evaluation method for assessing the usability of eLearning systems. Three machine learning methods (support vector machines, neural networks and decision trees) along with multiple linear regression are used to develop prediction models in order to discover the underlying relationship between the overall eLearning system usability and its predictor factors. A subsequent sensitivity analysis is conducted to determine the rank-order importance of the predictors. Using both sensitivity values along with the usability scores, a metric (called severity index) is devised. By applying a Pareto-like analysis, the severity index values are ranked and the most important usability characteristics are identified. The case study results show that the proposed methodology enhances the determination of eLearning system problems by identifying the most pertinent usability factors. The proposed method could provide an invaluable guidance to the usability experts as to what measures should be improved in order to maximize the system usability for a targeted group of end-users of an eLearning system.
Publish Year: 2013
Published in: Decision Support Systems - Science Direct
Number of Pages: 4
موضوع: یادگیری ماشین (Machine Learning) – آموزش الکترونیک (eLearning)
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان