National Institute of Technology, Silchar

About: National Institute of Technology, Silchar is a education organization based out in Silchar, Assam, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1934 authors who have published 4219 publications receiving 41149 citations. The organization is also known as: NIT Silchar.

Blade thickness effect on the aerodynamic performance of an asymmetric NACA six series blade vertical axis wind turbine in low wind speed

Abstract: Vertical axis wind turbine (VAWT) is an economic and widely used energy converter for converting wind energy into useful form of energy, like mechanical and electrical energy. For efficient...

Tannic acid intermediated surface functionalization of bamboo micron fibers to enhance mechanical performance of hybrid GFRP

Abstract: In this study, tannic acid (TA) mediated surface functionalization of bamboo micron fibers (BMFs) was done through a simple green process and subsequently compared with their counterpart based on silane treatment to use them as reinforcement in the hybrid laminated composite. The surface functionalized BMFs were characterized using XPS to reveal the attachment of the functional ligands. Introduction of TA-treated BMFs (TBMFs) in hybrid glass fiber reinforced plastics (GFRP) improves the σy and E of the composite over GFRP by ~48% and ~55%, respectively. Drastic improvement in flexural properties is also observed mainly attributed to the restriction to microcracks formation and fiber debonding at the inter-ply regions of the GFRP. TA provides a green alternative surface functionalization agent for highly porous natural fibers, making them a low-cost attractive reinforcement used in high-performance hybrid GFRP.

Comparison of MFCC and LPCC for a fixed phrase speaker verification system, time complexity and failure analysis

Abstract: This paper reports some of the observations perceived on uncontrolled environment database for comparison of the Mel Frequency Cepstral Coefficients(MFCC) and Linear Predictive Cepstral Coefficients (LPCC) for development of a robust fixed phrase speaker verification system. MFCC are Cepstral coefficients computed on a warped frequency scale based on known human auditory perception whereas LPCC are Cepstral coefficients that represents the human articulatory system based on linear prediction. This paper compares the accuracy level of both the systems based on MFCC and LPCC, also it compares the systems from an equal error rate point of view (EER). The result suggests that LPCC performs more accurately as compared to that of MFCC by 2.59% for authenticating a speaker. The study also suggests that on basis average time required for giving a decision, MFCC outperforms LPCC significantly by 3.73 sec. Furthermore, the paper includes an analysis for the failure of the system on some of the tests which are not correctly detected as genuine or imposter.

Megastability, Multistability in a Periodically Forced Conservative and Dissipative System with Signum Nonlinearity

Abstract: A sinusoidally-driven conservative and dissipative system with signum nonlinearity is presented in this paper. The proposed system exhibits strange attractors, multistability, and megastability. Th...