This paper presents a novel image enhancement algorithm using a multilevel windowed inverse sigmoid (MWIS) function for rendering images captured under extremely non uniform lighting conditions. MWIS based image enhancement is a combination of three processes viz. adaptive intensity enhancement, contrast enhancement and color restoration. Adaptive intensity enhancement uses the non linear trans...

In the realm of second language acquisition (SLA), task-based language teaching (TBLT) and input enhancement (IE) have been the focus of a great number of studies. However, the idea of investigating the effects of focus on form instruction through input-enhanced tasks along with pre-task planning time as one of the features of task-based language teaching has been rarely explored in the field o...

This paper proposed an efficient algorithm for contrast enhancement of natural images. The contrast of images is very important characteristics by which the quality of images can be judged as good or poor. The proposed algorithm consists of two stages: In the first stage the poor quality of an image is processed by modified sigmoid function. In the second stage the output of the first stage is ...

We propose in this paper an iterative method composed of three steps to derive architecture alternatives from quality requirements using a catalogue of patterns and styles. The solution candidates are chosen by answering a set of questions which reflects the requirements. We instantiate then the solution candidates using a UMLbased enhancement of the problem frame approach. To ensure that the i...

Recently, there has been much interest in multi-party session types (MPSTs) as a means of rigorously specifying protocols for interaction among multiple distributed participants. By capturing distributed interaction as series of typed interactions, MPSTs allow for the static verification of compliance of corresponding distributed object programs. We observe that explicit control flow informatio...

Effective, real time training of health-care professionals in invasive procedures is a challenging task. Furthermore, assessing in practice the acquisition of the dexterity and skills required to safely perform such operations is particularly difficult to perform objectively and reliably. The development of virtual reality (VR) simulators offers great potential towards these objectives, and can...

This paper presents an updated and systematic overview of the recent developments in studies on nucleation processes in diamond CVD. The nucleation mechanisms are discussed, and the nucleation enhancement methods developed to date are summarized. The effects of surface conditions and deposition parameters on the surface nucleation are described. Finally, a brief description of theoretical and m...

A fundamental aspect of everyday processing involves identifying discrete events within continuously unfolding sensory experience. However, the processes enabling determination of event boundaries remain poorly understood. Recently, inconsistent conclusions have emerged regarding attentional processes associated with detection of event boundaries. Use of the Dwell-Time Paradigm has indicated en...

This paper presents a system that can recover and track the 3D speech movements of a speaker’s face for each image of a monocular sequence. To handle both the individual specificities of the speaker’s articulation and the complexity of the facial deformations during speech, speaker-specific articulated models of the face geometry and appearance are first built from real data. These face models ...

Temporal feature binding in vision refers to the process by which features of objects presented one after the other at the same spatial location are correctly bound together. In this paper, we describe a computational model of putative neural mechanisms that would produce this behaviour. These simulations highlight the role of transient attentional enhancement in mediating the temporal binding ...