despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. in this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. using this framework, first the moving foreground is separated from the background and its scale is equalized. then, a ...

The transition from classical B [2] to the Event-B language and method [3] has seen the removal of some forms of model structuring and composition, with the intention of reinventing them in future. This work contributes to that reinvention. Inspired by a proposed method for state-based decomposition and refinement [5] of an Event-B model, we propose a familiar parallel event composition (over d...

Feature-based conditional statistical methods are essential for the analysis of complex, large-scale data. We introduce two shape-based conditional analysis algorithms that can be deployed in complementary settings: local methods are required when the phenomena under study comprise many small intermittent features, while global shape methods are required to study large-scale structures. We pres...

Cohesion is a measure of relatedness or consistency in functionality of a software component. It is a highly desirably design characteristic because it measures separation of responsibilities, independence of components, and control of complexity. Cohesion has a significant effect on a design’s understandability, effectiveness and adaptability. An early evaluation of design components for cohes...

This paper presents initial efforts in the implementation of innovative methods in teaching engineering, in particular using the Problem Based Learning (PBL) approach. This paper elaborates the current practice of the PBL teaching method within the Department of Electrical Engineering, University of Malaya. Pertaining issues include the integration of the PBL method into the overall teaching me...

In real-world applications, it has been often observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifier performance, in particular with patterns belonging to the less represented classes. This effect becomes especially significant on instance-based learning due to the use of some dissimilarity measure. We analyz...

Background: One way of developing nursing education is using of new teaching methods. One of this student based method that has been introduced recently is case-based teaching method. So the aim of this study was to assess the opinion of nursing student about case-based Teaching method and comparison with lecture in Zanjan Faculty of Nursing and Midwifery in 2011.   Methods: This is a quasiexpe...