OU Computer Science Proposal Educated Design

A Deterministic Multiple Key Space Scheme for Wireless Sensor Networks via Combinatorial Designs

The establishing of a pairwise key between two nodes for encryption in a wireless sensor network is a challenging issue. To do this, we propose a new deterministic key pre-distribution scheme which has modified the multiple key space scheme (MKSS). In the MKSS, the authors define two random parameters to make better resilience than existing schemes. Instead of a random selection of these parame...

Experimental and Numerical Study of Preform Design in Multi Stage Deep Drawing of High Strength Thin Steel Sheet

In this paper, experimental results of a deep drawing process to produce a cylinder of high strength steel with a spherical head were compared with it’s simulation results and three proposal design types. Meanwhile, the amount of limiting draw ratio in some stages was determined. Accuracy and precision of the results of a finite element software to predicting the multi stage deep drawing proces...

Modélisation de la Sémantique Lexicale dans le cadre de la théorie des types. (Modelling lexical semantics in a type-theoretic framework)

This paper is part of the thesis by Bruno Mery advised by Christian Bassac and Christian Retore in the years 2006-2011, on the topic “Modelling lexical semantics in a type-theoretic framework”. It is a doctoral thesis in computer science, in the area of natural language processing, aiming to bring forth a formal framework that takes into account, in the parsing of the semantics of a sentence, o...

Faculty of Computer Science University of New Brunswick Thesis Proposal for MCS Degree Program Design and Implementation of a Distributed Query System Supporting Conference Organization Committees By Chaudhry

Machine learning for mask/wafer hotspot detection and mask synthesis

Machine learning is a powerful computer science technique that can derive knowledge from big data and make predictions/decisions. Since nanometer integrated circuits (IC) and manufacturing have extremely high complexity and gigantic data, there is great opportunity to apply and adapt various machine learning techniques in IC physical design and verification. This paper will first give an introd...