Chittagong University of Engineering & Technology

About: Chittagong University of Engineering & Technology is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Computer science & Renewable energy. The organization has 1200 authors who have published 1444 publications receiving 10418 citations. The organization is also known as: Engineering College, Chittagong & Bangladesh Institute of Technology, Chittagong.

Enhanced Edge Localization and Gradient Directional Masking for Moving Object Detection

Abstract: Moving object detection has been widely used in intelligent video surveillance system. This paper proposes a new moving object detection method based on enhanced edge localization mechanism and gradient directional masking. In our proposed method, initially gradient map images are generated from the input image and the background image using gradient operator. The gradient difference map is then calculated from gradient map images. Finally, the moving object is extracted by using appropriate directional masking and thresholding. Simulation results indicate that the proposed method outperforms conventional edge based methods under different illumination conditions including indoor, outdoor, and foggy cases to detect moving object. In addition, it is computationally faster and applicable for real-time processing.

Simultaneous simulation of microhollow cathode discharge and its sustained discharge with split third electrodes

Abstract: Simultaneous simulation of microhollow cathode discharge (MHCD) and its sustained discharge in argon is attempted with a two dimensional, self-consistent, continuum fluid model. Bell-shape enlarged volume discharge is simulated with a single third electrode, and further expansion in the discharge volume of the sustained discharge is demonstrated with split third electrodes. In the sustained discharge region, monomer metastable is a dominant species and the number density of dimer ions is higher than that of monomer ions. The expansion in the sustained discharge does not alter the characteristics of the MHCD observed with a single electrode. But electrons and metastables in the sustained discharge region are expanded when the third electrodes are turned on. The simulated distribution of metastable species shows a rake-like structure that is also observed in experiments. As the pressure increases, a ratio of dimer-to-monomer metastable number density increases.

Multiple strip photo mixing demodulator for 3D imaging implemented on high resistivity silicon

Abstract: In this paper a multiple strip photo mixing demodulator fabricated on high resistivity silicon is described. The performance such as DC characteristics, demodulation contrast and non-linearity problem of a test sample are simulated and experimentally estimated. The experimental results exhibit a good DC charge separation and good dynamic demodulation capabilities up to 30MHz. The influence of modulation frequency and voltage on this device is also discussed. This test device corresponds to the first step towards incorporating a high resolution Time of Flight (TOF) based 3D image sensor.

Speech Based Deception Detection Using Bispectral Analysis

Abstract: Speech is considered as one of the most efficient and effective way to communicate with each other. However, a deception is a very common phenomenon in speech communication. It is difficult to detect if anyone is actually telling the truth or not. This study proposes a neural response based novel technique to identify the true or false from speech. In this study, the speech signal is used as the input to the auditory nerve model. This technique applies the higher order statistics called bispectrum to the auditory neurogram to distinguish the true and false from speech. Different parameters of the bispectrum are used as a feature to detect a deception from speech. Deceptive speech can be detected accurately by using the 'normalized bispectral entropy' of the bispectrum feature parameters for the envelope information (ENV) data and the 'maximum bispectrum' of the bispectrum feature parameter for the temporal fine structure (TFS) data. Speech based deception detection is a speech processing method which provides better accuracy to detect deception than many other deception detection techniques. This technique could be applied effectively for the national security systems.