Loading...
Search for: behnoudfar--diba
0.021 seconds

    Video Scene Recognition

    , M.Sc. Thesis Sharif University of Technology Diba, Ali (Author) ; Ghanbari, Mohammad (Supervisor)
    Abstract
    Scene classification and understanding is one of the most important fields in computer vision. Its applications are such as exploring robot navigation enviroment, content-based image retrieval (CBIR), organization in image databases, highly semantic describing images and videos and content extraction of videos.Many methods and algorithm are proposed till today to deal with diversity of this field by emphesizing on feature based methods or machine learning based methods. In this research we have focoused on proposing a new algorithm which is using principals of NBNN image classification method but major changes in how to exract distance metric from Nearest neighbour and how to use local... 

    Fabrication and Characterization of PVA/PLA Composites

    , M.Sc. Thesis Sharif University of Technology Behnoudfar, Diba (Author) ; Frounchi, Masoud (Supervisor) ; Dadbin, Susan (Supervisor)
    Abstract
    Poly (vinyl alcohol) (PVA) hydrogel is a biocompatible material, which has been widely applied in drug delivery applications. Microspheres, nanospheres, and other types of particle-based drug delivery vehicles have proven capacity for long-term release. There is growing interest to overcoming the inherent pharmacological limitations of hydrogels by formulating particulate systems into the hydrogel matrix to form new delivery platforms. We here describe a simple composite system based on poly (vinyl alcohol) (PVA) hydrogels containing entrapped drug-loaded poly (lactic acid) (PLA) microspheres for controlled delivery over extended period of time. Gamma-Irradiation and freeze-thawing was...