SAE: Toward Efficient Cloud Data Analysis Service for Large-Scale Social Networks Abstract? SAE: Toward Efficient Cloud Data Analysis Service for Large-Scale Social Networks. Social network analysis is used to extract features of human communities and proves to be very instrumental in a variety of scientific domains. The dataset of a social network is often so…
Safe city for using gps and camera Abstract? Safe city for using gps and camera. Vehicle geo-localization in urban areas remains to be challenging problems. For this purpose, Global Positioning System (GPS) receiver is usually the main sensor. But, the use of GPS alone is not sufficient in many urban environments due to wave multi-path….
Safe Driving Using Mobile Phones Abstract? Safe Driving Using Mobile Phones. As vehicle manufacturers continue to increase their emphasis on safety with advanced driver-assistance systems (ADASs), we propose a device that is not only already in abundance but portable enough as well to be one of the most effective multipurpose devices that are able to…
SafeStack: Automatically Patching Stack- Based Buffer Overflow Vulnerabilities Abstract? Buffer overflow attacks still pose a significant threat to the security and availability of today’s computer systems. Although there are a number of solutions proposed to provide adequate protection against buffer overflow attacks, most of existing solutions terminate the vulnerable program when the buffer overflow occurs,…
Saliency based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis/strong> Abstract? Ulcer is one of the most common symptoms of many serious diseases in the human digestive tract. Especially for the ul-cers in the small bowel where other procedures cannot adequately visualize,wireless capsule endoscopy WCE < Final Year Projects 2016 > is increasingly being used in…
Saliency-based Lesion Segmentation via Background Detection in Dermoscopic Images Abstract– The segmentation of skin lesions in dermoscopic images is a? fundamental step in automated computer-aided diagnosis (CAD) of melanoma. Conventional segmentation methods, however, have difficulties when the lesion borders are indistinct and when contrast between the lesion and the surrounding skin is low. They also…
Salient Object Segmentation via Effective Integration of Saliency and Objectness Abstract– An effective salient object segmentation method via the graph-based integration of saliency and objectness. Based on the superpixel segmentation result of the input image, a graph is built to represent superpixels using regular vertex, background seed vertex with the addition of a terminal vertex….
Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support Abstract? A novel approach to automatically detect salient regions in an image. Our approach consists of global and local features, which complement each other to compute a saliency map. The first key idea of our work is to create a saliency map of an…
SanGA: A Self-Adaptive Network-Aware Approach to Service Composition Abstract? SanGA: A Self-Adaptive Network-Aware Approach to Service Composition. Service-Oriented Computing enables the composition of loosely coupled services provided with varying Quality of Service < Final Year Projects 2016 > QoS levels. Selecting a near-optimal set of services for a composition in terms of QoS is crucial…
SanGA: A Self-Adaptive Network-Aware Approach to Service Composition Abstract?SanGA: A Self-Adaptive Network-Aware Approach to Service Composition. Service-Oriented Computing enables the composition of loosely coupled services provided with varying Quality of Service (QoS) levels. Selecting a near-optimal set of services for a composition in terms of QoS is crucial when many functionally equivalent services are available….
SAR Image Denoising via Clustering-Based Principal Component Analysis Abstract?SAR Image Denoising via Clustering-Based Principal Component Analysis. The combination of nonlocal grouping and transformed domain filtering has led to the state-of-the-art denoising techniques. In this paper, < Final Year Projects > we extend this line of study to the denoising of synthetic aperture radar (SAR) images…
SAR Image Despeckling Based on Nonsubsampled Shearlet Transform Abstract? Synthetic Aperture Radar (SAR) Image despeckling is an important problem in SAR image processing since speckle may interfere with automatic interpretation. This paper presents a new approach for despeckling based on nonsubsampled shearlet transform. The approach introduced here presents two major contributions: (a) Translation-invariant Nonsubsampled Shearlet…