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.

First principles study of M2InC (M = Zr, Hf and Ta) MAX phases: The effect of M atomic species

Abstract: We have studied the physical properties of M2InC (M = Zr, Hf and Ta) MAX phases ternary carbides using density functional theory (DFT) methodology. The structural, elastic and electronic properties are revisited (and found to be in good agreement with recently reported results). The charge density distribution, Fermi surface features, Vickers hardness, dynamical stability, thermodynamics and optical properties have been investigated for the first time. The calculated single crystal elastic constants and phonon dispersion curves endorse the mechanical and dynamical stability of all the compounds under study. The calculated single crystal elastic constants Cij and polycrystalline elastic constants are found to increase with increasing atomic number of M species (M = Zr, Hf and Ta). The values of Pugh ratio and Poisson ratio revealed the brittleness of the compounds under study associated with strong directional covalent bond with a mixture of ionic contribution. Overlapping of conduction band and valence band at Fermi level notify the metallic nature of M2InC (M = Zr, Hf and Ta) MAX phases. Low values of Vicker hardness indicate the softness of the materials and easy machinability.. The thermodynamic properties, such as the free energy, enthalpy, entropy, specific heat capacity and Debye temperature are evaluated using the phonon dispersion curves and a good correspondence is found with the M atomic species. Electronically important optical properties, e.g., dielectric functions, refractive index, photoconductivity, absorption coefficient, loss function and reflectivity are calculated and discussed in detail in this study.

Optic Disc Segmentation Using Superpixel Based Features and Random Forest Classifier

Abstract: Superpixel based segmentation scheme offers less computation burden and hence low running time than pixel-wise or voxel-based techniques. In this paper, a superpixel-based technique is employed to segmentize optic discs from the retinal fundus images. Firstly, entropy-based filtering is utilized to select a region of interest(ROI) from the raw image. Then ROI is segmented into several superpixel regions. Statistical and textural features have been extracted from superpixels. The Random Forest-based classification method is implemented for precise segmentation of optic disc and a highly appreciable performance is found (accuracies of 0.9970, 0.9945 for IDRiD and DRIONS dataset respectively).

PD Care: A Framework for Advance Screening of Parkinson’s Patient from Vocal Dysphonia

Abstract: Parkinson’s Disease (PD) is a progressive neurological disorder that seeds dopamine loss in the brain and with decrement of dopamine, the traits of the disease become prominent. In 90% of cases, the voice impairment increases with the progression of the disease. There is no standardized test for early diagnosis of Parkinson’s Disease and conventional method of diagnosis encompasses observing daily actions, motor function, neurological factors to evaluate the progression of the disease. This study proposed a framework on applying classification model for early screening of Parkinson’s disease from the patient’s voice dataset and comparative analysis of applied algorithms to ascertain the best-performed algorithm. The dataset employed in this study provided by University of Oxford partnering with National Centre for Voice and Speech, Denver, Colorado. It is observed that K-Nearest Neighbors performed with 95.92% accuracy with 25% test data. In addition, the features such as MDVP: Jitter, RPDE, DFA, MDVP: Shimmer, contributes to higher accuracy, precision. We believe such frame-work and analysis will direct development of effective intelligent analytics-based system for early screening of Parkinson’s patient.

Study on Thin Airfoil Theory & Performance Test of Elliptical Wing as Compared to Model Mosquito Wing and NACA 64A012 Mod Airfoil

Abstract: Thin airfoil theory is a simple conception of airfoils that describes angle of attack to lift for incompressible, inviscid flows. It was first devised by famous German-American mathematician Max Munk and therewithal refined by British aerodynamicist Hermann Glauertand others in the 1920s. The thin airfoil theory idealizes that the flow around an airfoil as two-dimensional flow around a thin airfoil. It can be conceived as addressing an airfoil of zero thickness and infinite wingspan. Thin airfoil theory was particularly citable in its day because it provided a well-established theoretical basis for the following important prominence of airfoils in two-dimensional flow like i) on a symmetric shape of airfoil which center of pressure and aerodynamic center remain exactly one quarter of the chord behind the leading edge, ii) on a cambered airfoil, the aerodynamic center lies exactly one quarter of the chord behind the leading edge and iii)the slope of the lift coefficient versus angle of attack line is two pi ( ) units per radian. The fundamental equation of Prandtl’s lifting-line theory; simply states that the geometric angle of attack is equal to the sum of the effective angle plus the induced angle of attack. And also omitted the theory of elliptical wing theory which indicates that the Elliptical wing has better flight performance than any other airfoil. In this experiment we made a model of elliptical wing and test in wind tunnel to get experimental value. We also analyze the model in simulation software for further knowledge. Comparing this practical and experimental value to other airfoil like Mosquito wing and NACA 64A012 airfoil for further research.