Aquincum Institute of Technology

In the present world scenario, due to global warming and abnormal climate changes there is challenging situation in field of agriculture. This field of Agriculture is the backbone of the Indian economy. The development of agriculture sector in terms of area of land under cultivation, use of modern e

Facial expressions are the most visual method to convey emotions. Facial expressions of a person at different instances are not same. Automatic recognition of facial expressions is important for natural human-machine interfaces. Although human recognize facial expressions without delay, however expression reorganization by computer is still a challenge. In this proposed method Log Gabor filter bank of 5 scales and 8 different orientations is used. To reduce the dimensionality PCA (Principal Component Analysis) is then applied to Log- Gabor filtered images. The database used was JAFFE (Japanese female facial expression). The process involves detection of face, feature extraction using Log-Gabor filter, dimensionality reduction by PCA and classification of emotion using Euclidean distance metric. The work had been carried out in two stages. In stage I firstly, all the 7 emotions were detected using Log Gabor filter bank of 5 scales and 8 orientations. Secondly PCA was applied to compress 8 orientations and finally PCA was applied to compress 5 scales. In this stage the images of the training persons were included in the Test database. In stage II, 5 emotions angry, disgust, happy, neutral and surprise were detected by using Log Gabor filter bank of 5 scales and 8 orientations. In this stage images of training persons were not included in the Test database.

The presented “Scalable Advanced Ring-based passive Dense Access Network Architecture” transparently integrates WDM metro and PON access technologies, implementing ring protection, 100Km reach and up to 1024 users served at 10Gbps, with passive highly-shared infrastructure.