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On behalf of the Organizing Committee of the 2014 IEEE International Conference on Computer Science and Education (ICCSE 2014), we are very pleased to welcome you to beautiful Vancouver and to the Conference. This is the 9th ICCSE in a series of annual conferences, which began in 2006 in Xiamen, China. The Conference provides an international forum for presenting the most recent advances in the fields...
This position paper presents a synopsis of the imperative function artificial intelligence (AI) has partaken in software engineering (SE) as well as in software testing. In addition, the paper discusses how graphical user interface (GUI), and event driven software testing can derive benefits from the use of AI techniques. Artificial intelligence has significantly aided the process of the automation...
Unsupervised learning is used for analysing and clustering data when the expected cluster or class labels are not available, i.e., we are not aware of the type of information to be found. When we know only a little about the data labels, it is still challenging to make conclusions out of the data, although this may be the case for many real world data mining problems. We name the type of learning...
BioWorld is a computer-based learning environment that was designed to support novices in diagnosing medical diseases. In this study, we examine case summaries written in BioWorld. We explore the use of text classification techniques to mine case summaries written in BioWorld. In particular, we evaluate the accuracy of several text classification algorithms in Diagnosis Correctness and Novice-Expert...
Internationalization is widely accepted as the process of integrating international, intercultural or global employability dimensions into research, curricular and delivery of higher education. Internationalization is measured in several ways, including 1) What percentage of students have undertaken International study abroad/Internship opportunity? 2) What are the international networks the University...
Help-seeking is considered an important metacognitive strategy. For learners to benefit from help-seeking, they need to be engaged in effective search behaviors. Maladaptive search behaviors can lead to negative learning outcomes; thus, if learners are cognizant of such behaviors, they can engage in effective help-seeking leading to achieve better learner outcomes. To foster effective help-seeking,...
The 9th International Conference on Computer Science & Education (ICCSE 2014) will be held in UBC, Vancouver, Canada at August 22-24, 2014. The conference is organized by National Research Council of Computer Education in Colleges & Universities, China (CRC-CE), hosted by Department of Mechanical Engineering, UBC, and technically supported University of Bri tish Columbia and IEEE Vancouver...
To identify the crucial proteins in signal transduction networks, the first thing we must do is to know the protein's importance in signaling transduction networks. However, there are relatively few methods to evaluate the importance of proteins in signaling networks. We developed a novel method to evaluate the importance of proteins in signal transduction networks based on the concept of Minimax...
ICCSE aims to provide an open and effective platform to exchange the ideas for CS and Education field. Generally speaking, all accepted papers should be presented in one of the three methods: a. Oral Presentation, b. Poster Presentation, and c. Online Presentation.
Differential Evolution is used in global optimization over continuous spaces. In general, the task is to optimize certain properties of a system by pertinently choosing the system parameters. Differential evolutions have been widely used to solve difficult constrained optimization problem. Differential evolution gives good results with unconstrained problem. In this paper Differential evolution is...
This paper presents a classifier trained by a multiple kernel-learning support vector machine (MKL-SVM) to detect a human in sequential images from a video stream. The developed method consists of two aspects: multiple features consisting of HOG features and HOF features suitable for moving objects, and combined nonlinear kernels for SVM. For the purpose of real time application in autonomous navigation,...
With a growing global aging population, assistive robots are becoming increasingly important. This paper presents an integrated hardware and software architecture for assistive robots. This modular and reusable software framework incorporates capabilities of perception and navigation. The paper presents as well a system for three-dimensional (3D) vision-based simultaneous localization and mapping...
This paper describes the methodology for fault detection in autonomous mobile robots. In this, artificial immune system based approach; a set of fault detectors is generated using negative selection algorithm which is responsible for detecting faulty behavior of system. The idea is based on the self-non self-discrimination observed in biological immune system. The feasibility of scheme is implemented...
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