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.

Robust image hashing using ring partition-PGNMF and local features

Abstract: Background Image authentication is one of the challenging research areas in the multimedia technology due to the availability of image editing tools. Image hash may be used for image authentication which should be invariant to perceptually similar image and sensitive to content changes. The challenging issue in image hashing is to design a system which simultaneously provides rotation robustness, desirable discrimination, sensitivity and localization of forged area with minimum hash length.

Modeling and State-of-Charge Estimation of Supercapacitor Considering Leakage Effect

Abstract: Supercapacitors are receiving significant interest in wireless sensor network applications due to their high power density and longer lifespan. In such applications, consideration of the leakage effect is crucial for online control and management of supercapacitors. Motivated by this fact, in this paper we propose an online scheme to estimate the state-of-charge (SOC) of supercapacitors, taking the leakage effect into account. First, we propose a completely observable equivalent circuit model (ECM) of a supercapacitor, which captures the leakage effect. Then, we design an unscented-Kalman-filter-based SOC estimator on the proposed ECM. To illustrate the proposed scheme, we consider a commercially available 5 F supercapacitor (Maxwell BCAP0005) and conduct experimental studies to identify the ECM parameters. We also perform simulation and experimental studies to test the effectiveness of the proposed estimation scheme, in this paper. Finally, we evaluate the robustness of the proposed scheme under parametric and measurement uncertainties.

Surfactant effects on the synthesis of durable tin-oxide nanoparticles and its exploitation as a recyclable catalyst for the elimination of toxic dye: a green and efficient approach for wastewater treatment

Abstract: A green synthesis of SnO2 nanoparticles was successfully developed using urea by a microwave heating method. This method resulted in the formation of spherical, microcrystalline SnO2 nanoparticles with an average size of ∼4.0 nm. The role of cationic and non-ionic surfactants, namely cetyl pyridinium chloride (CPC) and triton X-100, in the synthesis of SnO2 nanoparticles are investigated. In this reaction, surfactants act as capping agents. The addition of a surfactant along with urea leads to the formation of spherical and microcrystalline SnO2 nanoparticles. The average particle size of the CPC assisted SnO2 nanoparticles is ∼4.5 nm, while that of triton X-100 assisted SnO2 nanoparticles is ∼5.8 nm. An increase in band gap energy is observed with a decrease in particle size because of three dimensional quantum confinement effect shown by synthesized SnO2 nanoparticles in their electronic spectra. The band gap energy of SnO2 nanoparticles synthesized using urea is ∼4.30 eV, whereas that of CPC assisted SnO2 nanoparticles and triton X-100 assisted SnO2 nanoparticles are ∼4.25 and ∼4.15 eV, respectively. The synthesized SnO2 nanoparticles were characterized by transmission electron microscopy (TEM), selected area electron diffraction (SAED) and Fourier transformed infrared spectroscopy (FT-IR). The optical properties were investigated using UV-visible spectroscopy. The synthesized SnO2 nanoparticles act to be an efficient photocatalyst in the degradation of rhodamine B and methyl violet 6B dye under direct sunlight. For the first time, methyl violet 6B and rhodamine B dye were degraded by solar irradiation using SnO2 nanoparticles as catalyst.

Control of Two-link 2-DOF Robot Manipulator Using Fuzzy Logic Techniques: A Review

Abstract: This paper reviews the literature on control of 2-DOF robot manipulator using fuzzy logic control (FLC). Different schemes of FLC laws are considered here. These are PID control, sliding mode control (SMC), and adaptive control. Importance of each control techniques with its advantages and disadvantages is discussed here. It is highlighted that the robustness of the system has improved considerably by using FLC than classical controller. A total of 65 papers were surveyed in this research area, covering contribution on each control technique for the 2-DOF robot manipulator for the time span of 1983–2014.