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 observer-based adaptive control of blood glucose in diabetic patients

Abstract: The objective of this paper is to design a robust observer-based adaptive controller for an intravenous glucose tolerance test (IVGTT) model of Type 1 Diabetes Mellitus (T1DM) patients. The model i...

Parametric Optimization for Photochemical Machining of Copper Using Grey Relational Method

Abstract: The purpose of work is to study the parametric effect and optimization for Photochemical machining (PCM) of copper. The PCM has been carried out on copper by using ferric chloride as an etchant. The photo tool has been selected based on the analysis for better overall quality and minimum edge deviation. The experiments have been performed varying the (control parameters) concentration of etchant, temperature and the etching time. The performance of PCM has been analyzed for material removal rate (MRR) and edge deviation (ED). The MRR should be higher while the ED should be lesser. For satisfying this condition, multi-objective optimization has been carried out. The concentration of etchant and temperature have a significant effect on the performance of PCM of copper. The optimum conditions for PCM of copper have been presented. The photo tool analysis for selection of photo tool is very significant for achieving better results in PCM. The optimum set of parameters for PCM of copper has been given which will be helpful for further research in this area.

An Intelligent Flow Measurement Technique using Ultrasonic Flow Meter with Optimized Neural Network

Abstract: Design of an intelligent flow measurement technique using ultrasonic flow meter is reported in this paper. The objective of the work are; (i) to extend the linearity range of measurement to 100% of the input range, (ii) to make the measurement system adaptive to variations in pipe diameter, liquid density, and liquid temperature, and (iii) to achieve the objectives (i) and (ii) by an optimal Artificial Neural Network ((ANN). An optimal ANN is considered by comparing various schemes and algorithms based on minimization of Mean Square Error (MSE) and Regression close to one. The output of ultrasonic flow meter is frequency. It is converted to voltage by using a frequency to voltage converter. An optimal ANN block is added in cascade to frequency to voltage converter. This arrangement helps to linearise the overall system for 100% of full scale and makes it adaptive to variations in pipe diameter, liquid density, and liquid temperature. Since the proposed intelligent flow measurement technique produces output which is adaptive to variations in pipe diameter, liquid density, and liquid temperature, the present technique avoids the requirement of repeated calibration every time there is change in liquid, and/or pipe diameter, and/or liquid temperature. Simulation results show that proposed measurement technique achieves the objectives quite satisfactorily.

Influence of Cu doping on the structural, electrical and optical properties of ZnO

Abstract: Pure and Cu-doped zinc oxide (ZnO) nanoparticles were prepared using a chemical method. The dopant concentration (Cu/Zn in atomic percentage (wt%)) is varied from 0 to 3 wt%. Structural characterization of the samples performed using X-ray diffraction (XRD) confirmed that all the nanoparticles of zinc oxide are having polycrystalline nature. Morphological studies were conducted using field emission scanning electron microscopy (FESEM) to confirm the grain size and texture. Electrical measurements showed that the AC conductivity initially decreases and then rises with increasing Cu concentration. The UV–Vis studies showed absorbance peaks in the 200–800 nm region. It is found that the absorbance does not significantly change with doping. This fact is further confirmed from the band-gap calculations using the reflectance graphs. When analysed in terms of Burstein–Moss shift, an increase of band gap from 3.42 to 3.54 eV with increasing Cu concentration is observed. In the Photoluminescence (PL) studies a red-shift is observed with increasing dopant concentration.

Fabrication and characterization of BiOBr-SnWO4 heterojunction nanocomposites with boosted photodegradation capability

Abstract: Novel BiOBr-SnWO4 heterojunction nanocomposites were fabricated by chemical precipitation method using as-prepared SnWO4 nanoparticles, bismuth nitrate as a source of bismuth, KBr as a source of Br, and ethylene glycol as solvent. The prepared BiOBr-SnWO4 heterojunction nanocomposites were examined for phase structure, chemical composition, surface morphology, optical properties, and charge transport by XRD, XPS, TEM, UV-Visible NIR, photoluminescence (PL), time-resolved fluorescence spectroscopy, electrochemical impedance spectroscopy (EIS), and Brunauer-Emmett-Teller (BET) analysis. X-ray diffractogram of BiOBr-SnWO4 nanocomposites revealed the diffraction peaks corresponding to orthorhombic SnWO4 nanoparticles in the tetragonal BiOBr which indicated that they exist in the mixed-phase in the composite. TEM pictures confirmed the existence of SnWO4 nanostructure in the BiOBr particles yielding core-shell particles. PL, fluorescence lifetime, and EIS investigations of the prepared samples showed a good charge separation efficiency in the BiOBr-SnWO4–1 nanocomposite. The application of BiOBr-SnWO4 nanocomposites as a photocatalyst was investigated via the decomposition of an aqueous solution of rhodamine B (RhB) and brilliant green (BG) dyes in the natural sunlight. Among the prepared materials, the BiOBr-SnWO4–1 nanocomposite presented robust photodegradation capability towards the degradation of RhB and BG dyes. The degradation efficiency touched to 97.85% and 95.5% for RhB and BG, respectively. The superior performance of BiOBr-SnWO4–1 is attributed to the existence of heterojunction between p-type BiOBr and n-type SnWO4 nanoparticles along with an improved visible light absorption capacity of heterojunction and the efficient interfacial charge transfer/ separation. The radical scavenger investigations showed that photogenerated h+, O2∙−, and ∙OH radicals generated by the photocatalyst were responsible for RhB and BG degradation.