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Institution

Budge Budge Institute of Technology

EducationBaj Baj, India
About: Budge Budge Institute of Technology is a education organization based out in Baj Baj, India. It is known for research contribution in the topics: Steganography & Plasmon. The organization has 65 authors who have published 121 publications receiving 744 citations. The organization is also known as: BBIT.

Papers published on a yearly basis

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Book ChapterDOI
01 Jan 2023
TL;DR: In this article , the effect of varying layer thickness for each specimen on the tensile strength of 3D-printed objects, keeping every other parameter unaltered, has been experimented and analyzed.
Abstract: Three-dimensional printing is a rapid prototyping (RP) technology where layer-by-layer material addition is done in order to get the desired dimensional accuracy at a much faster rate. The paper looks into a very important property of a material, which is its tensile strength. In this regard, the thickness of each layer plays an important role for both conforming dimensional accuracy and to meet required mechanical properties. In this study, the effect of varying layer thickness for each specimen on the tensile strength of 3D-printed object, keeping every other parameter unaltered, has been experimented and analyzed. For this aim, three different printing layer thicknesses, i.e., 0.2, 0.25 and 0.3 mm, have been printed in three specimens of polylactic acid (PLA). The tensile strength of each specimen has been measured by a typical setup that includes a dial gauge and jig setup, which concluded about the applied load that the specimens can withstand before tearing. From the experimental outcomes and the geometrical design of the specimens, the tensile strength of each specimen has been determined. From the study, it is analyzed that ability of the PLA specimens to withstand the load gets significantly high with the lesser layer thickness.
Posted Content
TL;DR: A rough set based clustering method to identify the face region and a new algorithm that uses a novel skin color model, RGB-HSV-YCbCr very effectively for the detection and facial feature extraction of human face region are proposed.
Abstract: Face detection and facial feature extraction plays an important role in modern life Color face image is a useful piece of information in computer vision especially for skin detection In this paper, an efficient algorithm for human face detection and facial feature extraction technique has been described It proposes a rough set based clustering method to identify the face region and a new algorithm that uses a novel skin color model, RGB-HSV-YCbCr very effectively for the detection and facial feature extraction of human face region The experimental results have shown that the proposed algorithm is able to accomplish proper detection successfully and to mark the exact facial region in given image
Proceedings ArticleDOI
01 Jan 2016
TL;DR: In this article, a modified version of the hybrid function set is attempted to design a new theory, which approximates jump functions in a better manner and subsequently these principles are applied for the analysis and synthesis of control systems described by their state models.
Abstract: Jump discontinuities in control systems pose difficulties in mathematical modeling. This paper uses a set of orthogonal hybrid functions (HF) for analysing and identifying control systems with jump discontinuities. But with traditional hybrid function theory, the results obtained are not quite satisfactory. To obtain a more accurate as well as reliable result, a modified version of the hybrid function set is attempted to design a new theory. With this new theory, jump functions are approximated in a better manner and subsequently these principles are applied for the analysis and synthesis of control systems described by their state models. Relevant examples are treated and results are found to be far more acceptable than those obtained using traditional hybrid functions.
Proceedings ArticleDOI
01 Dec 2013
TL;DR: In this paper, a general theory of optical gain for QW laser of low band gap semiconductors has been developed, where wave vector equation dependence on optical matrix element (OME) has been incorporated in determining the laser gain for these semiconductor having nonparabolic energy band profile.
Abstract: Three energy band model of Kane has been used to develop a general theory of optical gain for Quantum Well (QW) laser of low band gap semiconductors. Wave vector equation dependence on optical matrix element (OME) has been incorporated in determining the laser gain for these semiconductors having nonparabolic energy band profile. The effect of nonparabolicity is seen to increase the monochromaticity of laser. Intraband scattering and auger recombination present in the system have been found to play a major role in shifting the gain peak towards shorter wavelength, reduce line width and decrease the peak gain.
Journal ArticleDOI
TL;DR: In this article, a differential method was established for suitably measuring rainfall intensity using the ground-based radiometric method, and the results showed that a 1½ h interval would be the optimal time period, providing a better accuracy than 30 min, 1 h, and 2 h intervals.
Abstract: Rainfall intensity retrieval from satellite data and its comparison with the meteorological sensors suffer from a lack of data for an optimal time period. The ground-based dual-frequency microwave radiometers at Vale do Paraiba (23° S) and Alcantara (2° S), Brazil, were installed under a project, CHUVA, during 1 November to 1 December 2011 and 7 March to 7 April 2010, respectively. The results show that a 1½ h interval would be the optimal time period, providing a better accuracy than 30 min, 1 h, and 2 h intervals. The differential method was established for suitably measuring rainfall intensity using the ground-based radiometric method. The results show that the coefficient of determination () values for Vale do Paraiba and Alcantara are 0.86729 and 0.90124; correlation coefficient (r) values are 0.9312 and 0.9493; reduced chi-square (χ2) values are 2.00815 and 21.4865, and the root mean square error (RMSE) values are 0.749 and 0.900, respectively. The differential method in finding the rainfall intensi...

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20221
202110
202010
201911
201813