http://103.99.128.19:8080/xmlui/handle/123456789/93 Proceedings Published in DEM 2026-04-19T10:32:50Z http://103.99.128.19:8080/xmlui/handle/123456789/151 Fabrication and Characterization of Self-Aligned ZnO and TiO2 Nanostructured Films Bashir Ahmmad*, Shogo Hayasaka, Kensaku Kanomata, Shigeru Kubota and Fumihoko Hirose Self-aligned nanostructured thin films of ZnO and TiO2 have been prepared by MOCVD and anodization method, respectively. The as-prepared films were characterized by XRD, SEM and XPS analysis. The deposition temperature and time have drastic effects on the crystallinity and morphology of the nanostructured ZnO films. On the other hand, films of TiO2 nanotube array (TNA) are markedly affected by the composition of electrolyte used during anodization process. The as-prepared TNA films are amorphous in nature but high crystallined anatase phase could be obtained at low temperature using hydrothermal treatment. 2014-04-07T00:00:00Z http://103.99.128.19:8080/xmlui/handle/123456789/150 An Effective Approach to Estimate Reverberated Channel of Speech Signal Arif Ahmed Tanim1, Samiul Hasan2, Md. Sharifur Rahman3 Nowadays the use of voice recognition system is increasing day by day. Dereverberation of speech signal is necessary to make this voice recognition system effective and smooth. Beamforming technique and an adaptive process are useful for blind channel estimation which can be used for dereverberation process. Reverberated channel estimation is a very important step for de-reverberation process. This paper emphasis on reverberated channel estimation and introduce a method that can accelerate the reverberated channel estimation process of existing blind channel estimation techniques. 2014-04-07T00:00:00Z http://103.99.128.19:8080/xmlui/handle/123456789/149 Multiple Regions Based Histogram Equalization Md. Moniruzzaman, Md. Shafuzzaman and Md. Foisal Hossain Image contrast enhancement is required to improve the visual appearance of the image. Histogram is an important tool for image processing. By equalizing the histogram the contrast of an image can be increased. A widely known contrast enhancement technique is histogram equalization (HE). In this paper, a histogram equalization technique has been proposed for image contrast enhancement. The input image is divided into multiple regions and each region is mapped into output region to get the equalized histogram. The proposed method is capable of preserving and maintaining the brightness and the quality of the image. The proposed method also brings out the edges which were not in the input image. Using some performance measuring tools, the proposed technique has been compared with other existing methods. From the experimental results it can be seen that the proposed technique dominates over other existing methods. 2014-04-07T00:00:00Z