Optimal placement of multi-distributed generation units including different load models using particle swarm optimization Abstract?This study proposes a multi-objective index-based approach to optimally determine the size and location of multi-distributed generation (DG) units in distribution system with non-unity power factor considering different load models. It is shown that load models can significantly affect the optimal…
Paddy Rice identification using polarimetric SAR data in Southern China Abstract? Rice is one of the largest food grains in the world, providing food for more than one third of globe population. The radar remote sensing has been proved as an effective tool for rice mapping. With the emergence of spaceborne polarimetric SAR satellite,…
Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Cla Abstract?The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell changes before they progress to invasive carcinoma. In this…
PART-BASED PEDESTRIAN DETECTION AND FEATURE-BASED TRACKINGi Abstract?Detecting pedestrians is still a challenging task for automotive vision systems due to the extreme variability of targets, lighting conditions, occlusion, and high-speed vehicle motion. Much research has been focused on this problem in the last ten years and detectors based on classifiers have gained a special place…
Pedestrian Detection Based On Blob Motion Statistics Abstract? Pedestrian detection based on video analysis is a key functionality in automated surveillance systems. In this paper, we present efficient detection metrics that consider the fact that human movement presents distinctive motion patterns.< Final Year Projects > Contrary to several methods that perform an intrablob analysis…
PMSE: A Personalized Mobile Search Engine Abstract?We propose a personalized mobile search engine (PMSE) that captures the users’ preferences in the form of concepts by mining their clickthrough data. Due to the importance of location information in mobile search,< Final Year Project > PMSE classifies these concepts into content concepts and location concepts. In addition,…
Predictive HaCloud Computing based Forensic Analysis for Collaborative Network Security Management Systems handling of Asynchronous Concept Drifts in Distributed Environments Abstract?Predictive HaCloud Computing based Forensic Analysis for Collaborative Network Security Management Systems handling of Asynchronous Concept Drifts in Distributed Environments Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete…
Predictive Handling of Asynchronous Concept Drifts in Distributed Environments Abstract-In a distributed computing environment, peers collaboratively learn to classify concepts of interest from each other.< Final Year Projects > When external changes happen and their concepts drift, the peers should adapt to avoid increase in misclassification errors. The problem of adaptation becomes more difficult when…
Principal Component Analysis for Hyperspectral Image Classification Abstract? we have applied supervised probabilistic principal component analysis (SPPCA) and semi-supervised probabilistic principal component analysis (S2PPCA) for feature extraction in hyperspectral remote sensing imagery.< Final Year Projects > The two models are all based on probabilistic principal component analysis (PPCA) using EM learning algorithm. SPPCA only…
Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing Abstract? To improve the accuracy of learning result, in practice multiple parties may collaborate through conducting joint Back-Propagation neural network learning on the union of their respective data sets. During this process no party wants to disclose her/his private data to others. Existing…
Privacy-Enhanced Web Service Composition Abstract? Data as a Service (DaaS) builds on service-oriented technologies to enable fast access to data resources on the Web. However, this paradigm raises several new privacy concerns that traditional privacy models do not handle.< Final Year Project > In addition, DaaS composition may reveal privacy-sensitive information. In this paper,…
Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases Abstract? purred by developments such as cloud computing, there has been considerable recent interest in the paradigm of data mining-as-a-service. A company (data owner) lacking in expertise or computational resources can outsource its mining needs to a third party service provider (server). However, both the…
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