Showing papers by "Motilal Nehru National Institute of Technology Allahabad published in 2013"
TL;DR: An extensive literature review on load-frequency control (LFC) problem in power system has been highlighted in this article, where various configuration of power system models and control techniques/strategies that concerns to LFC issues have been addressed in conventional as well as distribution generation-based power systems.
Abstract: In this paper an extensive literature review on load–frequency control (LFC) problem in power system has been highlighted. The various configuration of power system models and control techniques/strategies that concerns to LFC issues have been addressed in conventional as well as distribution generation-based power systems. Further, investigations on LFC challenges incorporating storage devices BESS/SMES, FACTS devices, wind–diesel and PV systems etc have been discussed too.
485 citations
TL;DR: The synergistic effects of nano dressing such as good antibacterial ability, high swelling properties, high water vapour transmission rate (WVTR), excellent hydrophilic nature, biocompatibility, wound appearance, wound closure rate and histological study through in vivo test makes it a suitable candidate for wound healing applications.
378 citations
TL;DR: The synergistic effects of nanocomposite dressing material like good antibacterial ability, high swelling properties, high WVTR, excellent hydrophilic nature, biocompatibility, wound appearance and wound closure rate through in vivo test makes it a suitable candidate for wound healing applications.
297 citations
TL;DR: This research presents a novel probabilistic procedure that allows for direct measurement of the response of the immune system to earthquake-triggered landsliding.
Abstract: This paper reports the structural and optical properties and comparative photocatalytic activity of TiO2 and Ag-doped TiO2 nanoparticles against different bacterial strains under visible-light irradiation. The TiO2 and Ag-doped TiO2 photocatalysts were synthesized by acid catalyzed sol–gel technique and characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), UV–vis spectroscopy and photoluminescence (PL). The XRD pattern revealed that the annealed sample of TiO2 has both anatase and rutile phases while only an anatase phase was found in Ag-doped TiO2 nanoparticles. The decreased band-gap energy of Ag-doped TiO2 nanoparticles in comparison to TiO2 nanoparticles was investigated by UV–vis spectroscopy. The rate of recombination and transfer behaviour of the photoexcited electron–hole pairs in the semiconductors was recorded by photoluminescence. The antimicrobial activity of TiO2 and Ag-doped TiO2 nanoparticles (3% and 7%) was investigated against both gram positive (Staphylococcus aureus) and gram negative (Pseudomonas aeruginosa, Escherichia coli) bacteria. As a result, the viability of all three microorganisms was reduced to zero at 60 mg/30 mL culture in the case of both (3% and 7% doping) concentrations of Ag-doped TiO2 nanoparticles. Annealed TiO2 showed zero viability at 80 mg/30 mL whereas doped Ag-TiO2 7% showed zero viability at 40 mg/30 mL culture in the case of P. aeruginosa only.
270 citations
TL;DR: This review will focus on preparative methods and physicochemical and biological properties of carboxymethyl chitosan with particular emphasis on biomedical and pharmaceutical applications of this derivative of chitOSan.
256 citations
TL;DR: In this paper, the improved tensile properties of natural fibers extracted from Borassus fruit were reported for green composites using a 5% concentration sodium hydroxide solution for different periods (1, 4, 8 and 12 hours).
Abstract: Borassus fine fibers possess superior tensile properties and are an important renewable, natural reinforcement material for composites. This paper reports the improved tensile properties of natural fibers extracted from Borassus fruit. Changes occurring in Borassus fibers when treated with a 5% concentration sodium hydroxide solution for different periods (1, 4, 8 and 12 h) were characterized using tensile testing, chemical analysis, Fourier transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy and thermogravimetric analysis. The tensile properties (strength, modulus and % elongation) of the fibers improved by 41, 69 and 40% respectively, after 8 h of alkali treatment. Based on the properties determined for the Borassus fibers, we expect that these fibers will be suitable for use as a reinforcement in green composites.
235 citations
TL;DR: In this paper, the particle swarm optimization (PSO) based loop shaping of H-infinity controller is used and compared with those obtained by genetic algorithm (GA) to minimize the frequency deviation.
184 citations
TL;DR: The influence of calcination temperature on crystallite size, morphology, band gap and luminescence properties of resultant material have been investigated in this paper, where different trends were observed in the phase transformation, particle growth, shift in energy band gap, and in luminecence with the change in tensile strain to compressive strain of the prepared nanomaterial.
160 citations
TL;DR: In this paper, a study was conducted with the aim of discovering the factors which maximally discriminate between those employees who intend to leave the organization and those who intention to stay with the organization, and the primary motive was to find those factors which are strong predictors of intention to leave, so that employees who intention quitting are identified in advance, and remedial measures are taken to retain them, especially if they are key performers.
Abstract: Purpose – The study was conducted with the aim of discovering the factors which maximally discriminate between those employees who intend to leave the organization and those who intend to stay with the organization. The primary motive was to find those factors which are strong predictors of intention to stay, so that employees who intend quitting are identified in advance, and remedial measures are taken to retain them, especially if they are key performers.Design/methodology/approach – A questionnaire covering several aspects relating to employee retention was designed and distributed amongst a sample of 100 employees chosen through incidental sampling. Data thus collected was subjected to factor analysis, which yielded seven factors: Goal Clarity, Autonomy, Employee Engagement, Affective Commitment, Organizational Culture, Compensation and Benefits, and Normative Commitment. Discriminant analysis was done on these factors to identify the best predictors of employees' intention to leave or stay, by creat...
142 citations
TL;DR: In this paper, a simple and economical modification for the basin type solar still is proposed, where porous fins made up of blackened old cotton rags were partially dipped in the basin water, while the rest of the part extended above the basin surface.
116 citations
TL;DR: In this article, a clear evidence of structural transformation from pure anatase to anatase-rutile mixed phase structures has been confirmed by X-ray diffraction (XRD).
TL;DR: In this paper, the power quality disturbances in terms of statistical features are classified distinctly by use of modular probabilistic neural network (MPNN), support vector machines (SVMs), and least square support vector machine (LS-SVM) techniques.
Abstract: The interconnection of the renewable-resources-based distributed generation (DG) system to the existing power system could lead to power quality (PQ) problems, degradation in system reliability, and other associated issues. This paper presents the classification of PQ disturbances caused not only by change in load but also by environmental characteristics such as change in solar insolation and wind speed. Various forms of sag and swell occurrences caused by change in load, variation in wind speed, and solar insolation are considered in the study. Ten different statistical features extracted through S-transform are used in the classification step. The PQ disturbances in terms of statistical features are classified distinctly by use of modular probabilistic neural network (MPNN), support vector machines (SVMs), and least square support vector machines (LS-SVMs) techniques. The classification study is further supported by experimental signals obtained on a prototype setup of wind energy system and PV system. The accuracy and reliability of classification techniques is also assessed on signals corrupted with noise.
TL;DR: In this article, the performance of a modified basin type solar still, incorporating multiple low thermal inertia porous absorbers, floated adjacent to each other on the basin water with the help of thermocol insulation, was analyzed.
TL;DR: This review focused on different classes of antimicrobial nanoparticles, including metal, metal oxide and others along with their mechanism of action and their potential use against the infections, giving an overview about modern nanoparticle based therapeutic strategies against the infection.
Abstract: Despite the fact that many new drugs and technologies have been developed to combat the infectious diseases, these have continued to be global health challenges. The use of conventional antimicrobial agents against these infections is always associated with problems such as the development of multiple drug resistance and adverse side effects. In addition, the inefficient traditional drug delivery system results in inadequate therapeutic index, low bioavailability of drugs and many other limitations. In this regard, antimicrobial nanoparticles and nanosized drug delivery carriers have emerged as potent effective agents against the infections. Nanoparticles have unique properties owing to their ultra small and controllable size such as high surface area, enhanced reactivity, and functionalizable structure. This review focused on different classes of antimicrobial nanoparticles, including metal, metal oxide and others along with their mechanism of action and their potential use against the infections. The review also focused on the development of nanoparticle systems for antimicrobial drug delivery and use of these systems for delivery of various antimicrobial agents, giving an overview about modern nanoparticle based therapeutic strategies against the infections.
TL;DR: In this paper, the authors present the extraction and effect of alkali treatment on the physical, chemical, tensile, and thermal characteristics of fiber strands obtained from Napier grass, a renewable biomass.
TL;DR: The results are obtained by using the fixed point technique and solution operator on a complex Banach space and showing the existence, uniqueness and continuous dependence of mild solution for an impulsive neutral fractional order differential equation with infinite delay.
TL;DR: In this paper, the development of Al/SiCp (10% weight) metal matrix composite through a conventional casting process and studied its machinability characteristics in turning using multilayer TiN coated carbide insert under dry environment based on Taguchi's L 9 orthogonal array.
TL;DR: In this paper, a coupled methodology of Finite Element Method (FEM) and Artificial Neural Network (ANN) was used to predict hole taper and material removal rates for laser-beam percussion drilling.
Abstract: Modeling and optimization of machining processes using coupled methodology has been an area of interest for manufacturing engineers in recent times. The present paper deals with the development of a prediction model for Laser Beam Percussion Drilling (LBPD) using the coupled methodology of Finite Element Method (FEM) and Artificial Neural Network (ANN). First, 2D axisymmetric FEM based thermal models for LBPD have been developed, incorporating the temperature-dependent thermal properties, optical properties, and phase change phenomena of aluminum. The model is validated after comparing the results obtained using the FEM model with self-conducted experimental results in terms of hole taper. Secondly, sufficient input and output data generated using the FEM model is used for the training and testing of the ANN model. Further, Grey Relational Analysis (GRA) coupled with Principal Component Analysis (PCA) has been effectively used for the multi-objective optimization of the LBPD process using data predicted by the trained ANN model. The developed ANN model predicts that hole taper and material removal rates are highly affected by pulse width, whereas the pulse frequency plays the most significant role in determining the extent of HAZ. The optimal process parameter setting shows a reduction of hole taper by 67.5%, increase of material removal rate by 605%, and reduction of extent of HAZ by 3.24%.
TL;DR: In this paper, X-ray diffraction (XRD) and transmission electron microscopy (TEM) analyses of Zn-doped SnO 2 nanoparticles were carried out for structural and morphological studies.
TL;DR: In this paper, the non-linear flexural and dynamic response of CNT reinforced laminated composite plates using fast converging finite double Chebyshev polynomials is analyzed.
Abstract: The paper presents the non-linear flexural and dynamic response of CNT reinforced laminated composite plates using fast converging finite double Chebyshev polynomials. Halpin–Tsai model is used for evaluating the properties of matrix by dispersing CNT in it. Thereafter, CNT reinforced polymer matrix is treated as new matrix and then reinforced with E-Glass fiber in an orthotropic manner. Mathematical formulation of the laminated plate is based on first order shear deformation theory and von-Karman non-linear kinematics. Houbolt time marching scheme and quadratic extrapolation techniques are used for temporal discretization and linearization, respectively. The effects of CNT % and its aspect ratio on the non-linear flexural and dynamic response of the laminated composite plates are presented.
TL;DR: In this paper, the classification of islanding and power quality (PQ) disturbances in grid-connected distributed generation (DG) based hybrid power system is presented, where five different types of disturbances are considered for the classification problem.
TL;DR: In this article, the bit error rate (BER) performance and power spectral density of Discrete Fourier Transform (DFT) based OFDM system with wavelet-based OFDM systems were compared.
Abstract: In this paper we have compared the bit error rate (BER) performance and power spectral density of Discrete Fourier Transform (DFT) based OFDM system with wavelet based OFDM system. We also compared the performance of Least Square (LS) and Linear Minimum Mean Square Error (LMMSE) channel estimation technique for wavelet based OFDM system as well as DFT based OFDM system.
TL;DR: In this article, the authors describe the response surface methodology (RSM) and artificial neural network (ANN) based mathematical modeling for average cutting speed of SiCp/6061 Al metal matrix composite (MMC) during wire electric discharge machining (WEDM).
TL;DR: The proposed biocompatible ChEt-ChOx/Ufm-Cu(2)O-CS/ITO bioelectrode shows fast response time, good reproducibility, and long-term stability, and is used to determine the total cholesterol levels in human serum samples.
Abstract: The ultrafine monodispersed cuprous oxide (Ufm-Cu(2)O) nanoparticles have been successfully synthesized by a facile wet chemical method using poly-N-vinylpyrrolidone (PVP) as a capping agent. This colloidal solution of Ufm-Cu(2)O and chitosan (CS) is electrophoretically deposited (EPD) onto the indium tin-oxide (ITO) glass substrate. Thus synthesized nanocomposite has been characterized by X-ray powder diffraction (XRD, ∼6 nm), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and Fourier transform infrared (FTIR) spectroscopic techniques. This novel biomedical nanocomposite platform has been explored to fabricate a cholesterol biosensor by immobilizing cholesterol esterase (ChEt) and cholesterol oxidase (ChOx) onto Ufm-Cu(2)O-CS/ITO electrode surface. The seed germination tests of these biomaterials (Ufm-Cu(2)O-CS nanocomposite and ChOx-ChEtUfm-CuO(2)-CS nanobiocomposite), conducted using the disc diffusion method, reveal strong activity against the common pathogens and crops, indicating biocompatibility of the nanocomposite. Under optimized conditions, the linearity between the current response and the cholesterol concentration has been obtained in the range of 10-450 mg/dL, with detection limit of 15.9 mg/dL cm(-2) and a high sensitivity of 0.895 μA/(mg/dL cm(-2)). The proposed biocompatible ChEt-ChOx/Ufm-Cu(2)O-CS/ITO bioelectrode shows fast response time (<5 s), good reproducibility, and long-term stability. This biocompatible biosensor has been used to determine the total cholesterol levels in human serum samples. Investigated antimicrobial activities of bienzyme-functionalized Ufm-Cu(2)O-CS nanocomposite are the potential platform for biomedical applications.
TL;DR: In this paper, a coupled methodology comprising of Finite Element Method (FEM) and Artificial Neural Network (ANN) has been used to develop a prediction model for the Laser Beam Percussion Drilling (LBPD) process.
TL;DR: In this article, the structural, optical and electrical properties of ZnO thin films were investigated and compared systematically using X-ray diffraction (XRD), XPS, scanning electron microscope (SEM), Raman spectroscopy, photoluminescence (PL) and UV measurements.
TL;DR: An attempt has been made to evaluate labor productivity in U-shaped line system and straight line systems and results show that the CPM based U- shaped approach performs better and improve the labor productivity of assembly line layout.
TL;DR: In this paper, a second order response surface model was developed for each Da and Ta using hybrid approach of Taguchi methodology (TM) and response surface methodology (RSM), and the effect of input process parameters on each cut quality (Da and Ta) was also studied.
TL;DR: In this paper, X-ray diffraction results showed that all the films are polycrystalline zinc oxide having hexagonal wurtzite structure and upon doping, the films exhibit reduced crystallinity as compared with the undoped film.
Journal Article•
TL;DR: The optimization of biomass loading enzyme loading, surfactant concentration and incubation time, using response surface methodology (RSM) and Box Behnken design for enzymatic saccharification of sugarcane tops (SCT) for maximum recovery of fermentable sugars using crude cellulases, resulted in 90.24% saccharization efficiency.
Abstract: The optimization of biomass loading enzyme loading, surfactant concentration and incubation time, using response surface methodology (RSM) and Box Behnken design for enzymatic saccharification of sugarcane tops (SCT) for maximum recovery of fermentable sugars using crude cellulases, resulted in 90.24% saccharification efficiency. Maximum saccharification yield of 0.376 g/g glucose as substrate for ethanol production was observed at optimal conditions of 10% biomass loading (pretreated), 100FPU/g of cellulase loading, 0.04% (w/w) surfactant concentration and 72 h of incubation time.