http://dlib.iit.ac.lk/xmlui/handle/123456789/438 2026-04-06T22:09:30Z http://dlib.iit.ac.lk/xmlui/handle/123456789/440 Facial expression recognition using active shape models and support vector machines Sarnarawickrame, K; Mindya, S Facial Expression Recognition is the subsequent step after Face Detection and Real time recognition of facial expressions is a challenging task. Various technologies of Facial Expression Recognition has been experimented by researchers over the past few years. In this paper, it has been observed the accuracy and effectiveness of employing Active Shape Models and Support Vector Machines to achieve higher recognition rates. Active Shape Model is used to locate the facial feature deformations of a face detected by using Haar classifiers. These facial coordinates are fed into a Support Vector Machine and the trained system classifies the expressions into seven categories, namely happy, sad, anger, disgust, fear, surprise and neutral. The system was tested on JAFFE Database and Cross Validation had been used as a mechanism for analysing the results of the experiment. 2013-01-01T00:00:00Z http://dlib.iit.ac.lk/xmlui/handle/123456789/439 Review on state of art intrusion detection systems designed for the cloud computing paradigm Premathilaka, Nalaka Arjuna; Aponso, Achala; Krishnarajah, Naomi Cloud Computing is an emerging technology that enhances capability, usability and scalability of computer systems. On account of some exclusive features, cloud computing system always differs from the traditional computer system; not only the capabilities but also the vulnerabilities and threats. Intrusion Detection System (IDS) is a significant component of computer system security and compliance practices that protects computer systems from various types of malicious activities and attacks. Intrusion Detection Systems have been evolved over decades and various types of systems are currently available to identify and eradicate attacks based on different system conditions and different aptitudes. The main purpose of this paper is to review the state-of-art Intrusion Detection Systems available for cloud computing paradigm, which adhere to features of cloud computing architecture. Scalability, elasticity, reliability, performance, security and distributed nature of the Intrusion Detection Systems will be reviewed in order to identify suitable approaches for cloud computing. 2013-01-01T00:00:00Z