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Showing papers by "Indian Institute of Technology Bhubaneswar published in 2012"


Journal ArticleDOI
TL;DR: Some novel pre-hydrolysed coagulants such as Polyaluminium chloride (PACl), Polyal aluminium ferric chloride (PAFCl), Polyferrous sulphate (PFS) and Polyferic chloride (PFCl) have been found to be more effective and suggested for decolourisation of the textile wastewater.

1,501 citations


Journal ArticleDOI
TL;DR: In this paper, a surface plasmon resonance based affinity biosensor comprising of 2S2G (Ge20Ga5Sb10S65) chalcogenide prism, graphene-multilayer and gold as a plasm active metal is proposed for sensing over a broad wavelength range in visible and near infrared regime.
Abstract: Surface plasmon resonance based affinity biosensor comprising of 2S2G (Ge20Ga5Sb10S65) chalcogenide prism, graphene-multilayer and gold as a plasmon active metal is proposed for sensing over a broad wavelength range in visible and near infrared regime. We have investigated and carried out detailed analysis to design high performance affinity biosensor by exploiting the unique optical properties of chalcogenide glass and graphene. The performance of the biosensor has been quantified in terms of sensitivity and detection accuracy. The sensitivity of proposed biosensor increases significantly due to the presence of graphene where as the detection accuracy increases by more than 100% because of high index chalcogenide glass as compared to silica glass. Also, the detection accuracy of the proposed sensor in near IR is 16 times more as compared to that in visible. Adequate values of crucial design parameters have been optimized to achieve the best possible sensing performance over a broad wavelength range.

212 citations


Journal ArticleDOI
TL;DR: A new multiobjective evolutionary algorithm (MOEA) is proposed by extending the existing cat swarm optimization (CSO) and finds the nondominated solutions along the search process using the concept of Pareto dominance and uses an external archive for storing them.
Abstract: Highlights? A new multiobjective cat swarm optimization (MOCSO) algorithm is proposed. ? MOCSO is more efficient than MOPSO and NSGA-II. ? This algorithm is tested using benchmark functions. ? Sensitivity analysis of different parameters of MOCSO algorithm is carried out. This paper proposes a new multiobjective evolutionary algorithm (MOEA) by extending the existing cat swarm optimization (CSO). It finds the nondominated solutions along the search process using the concept of Pareto dominance and uses an external archive for storing them. The performance of our proposed approach is demonstrated using standard test functions. A quantitative assessment of the proposed approach and the sensitivity test of different parameters is carried out using several performance metrics. The simulation results reveal that the proposed approach can be a better candidate for solving multiobjective problems (MOPs).

175 citations


Journal ArticleDOI
TL;DR: This paper investigates the trade-off between the accuracy and the transparency of data-mining-based models in the context of catastrophe predictors for power grid response-based remedial action schemes, at both the protective and operator levels.
Abstract: In all areas of engineering, modelers are constantly pushing for more accurate models and their goal is generally achieved with increasingly complex, data-mining-based black-box models. On the other hand, model users which include policy makers and systems operators tend to favor transparent, interpretable models not only for predictive decision-making but also for after-the-fact auditing and forensic purposes. In this paper, we investigate this trade-off between the accuracy and the transparency of data-mining-based models in the context of catastrophe predictors for power grid response-based remedial action schemes, at both the protective and operator levels. Wide area severity indices (WASI) are derived from PMU measurements and fed to the corresponding predictors based on data-mining models such as decision trees (DT), random forests (RF), neural networks (NNET), support vector machines (SVM), and fuzzy rule based models (Fuzzy_DT and Fuzzy_ID3). It is observed that while switching from black-box solutions such as NNET, SVM, and RF to transparent fuzzy rule-based predictors, the accuracy deteriorates sharply while transparency and interpretability are improved. Although transparent automation schemes are historically preferred in power system control and operations, we show that, with existing modeling tools, this philosophy fails to achieve the “3-nines” accuracy figures expected from a modern power grid. The transparency and accuracy trade-offs between the developed catastrophe predictors is demonstrated thoroughly on a data base with more than 60 000 instances from a test (10%) and an actual (90%) system combined.

99 citations


Journal ArticleDOI
TL;DR: An ultra-high bit-rate inter-satellite optical wireless communication (IsOWC) system is proposed, which uses coherent optical quadrature phase-shift keying (QPSK) modulation technique and the authors have proposed a novel QPSK modulation technique for the design of IsOWC system for achieving higher coverage distance and data rate.
Abstract: An ultra-high bit-rate inter-satellite optical wireless communication (IsOWC) system is proposed in thisstudy. The system is designed and simulated up to the bit-rate of 400 Gbps. The proposed system is a non-diffused link or line-of-sight setup, which uses coherent optical quadrature phase-shift keying (QPSK) modulation technique. The performance of the system is analysed in terms of Q -factor, bit-error rate, eye opening and so on. The coverage distance observed with an input power level of 30 dBm for a bit-rate of 400, 160 and 100 Gbps are 4767, 7542 and 9532 km, respectively. Finally, the maximum bit-rate that can be communicated, for inter-satellite link at different orbits such as low-Earth orbit, medium-Earth orbit and geostationary Earth orbit are presented. To the best of the authors knowledge for the first time they have proposed a novel QPSK modulation technique for the design of IsOWC system for achieving higher coverage distance and data rate, which was not been addressed in any current or earlier publications.

84 citations


Journal ArticleDOI
TL;DR: In this article, a robust FsLMS algorithm is proposed for a functional link artificial neural network (FLANN) based active noise control (ANC) system which is least sensitive to such disturbances and does not call for any prior information on the noise characteristics.

80 citations


Journal ArticleDOI
TL;DR: In this article, a two-loop proportional-integral-derivative (PID) controller for an inverted cart-pendulum system via pole placement technique, where the (dominant) closed-loop poles to be placed at the desired locations are obtained from an Linear Quadratic regulator (LQR) design.
Abstract: This study designs a two-loop proportional-integral-derivative (PID) controller for an inverted cart-pendulum system via pole placement technique, where the (dominant) closed-loop poles to be placed at the desired locations are obtained from an Linear quadratic regulator (LQR) design. It is seen that in addition to yielding better responses (because of additional integral action) than this LQR (equivalent to two-loop PD controller) design, the proposed PID controller is robust enough. The performance and robustness of the PID compensation are verified through simulations as well as experiments.

75 citations


Journal ArticleDOI
TL;DR: This paper proposes a functional-link-artificial-neural-network-based (FLANN) multichannel nonlinear active noise control (ANC) system trained using a particle swarm optimization (PSO) algorithm suitable for nonlinear noise processes.
Abstract: This paper proposes a functional-link-artificial-neural-network-based (FLANN) multichannel nonlinear active noise control (ANC) system trained using a particle swarm optimization (PSO) algorithm suitable for nonlinear noise processes. The use of PSO algorithm in a multichannel ANC environment not only reduces the local minima problem but also removes the requirement of computationally expensive modeling of the secondary-path transfer functions. A decentralized version of a multichannel nonlinear ANC is also developed, which facilitates scaling up of an existing ANC setup without rederiving the learning rules. This is possible as the controller module of each channel is independent of others. Simulation study of the two new multichannel ANC systems demonstrates comparable mitigation performance. However, the decentralized one is preferred to as it possesses the added advantage of scalability.

74 citations


Journal ArticleDOI
TL;DR: A simple direct solution is proposed that significantly reduces the inherent difficulties of finding the solution and ensures optimum solution at the same time and the concept of principle of optimality is effectively used to make the proposed technique more computationally efficient and useful.
Abstract: Much of the research has been focused on developing the optimization techniques, varying from classical to nontraditional soft computing techniques, to solve the distribution system planning problem. Most of the methods preserve the distinctions and niceties, but dependent on complex search algorithm with a lot of convergence related issues that require more time to reach a firm conclusion at planning stage. This paper proposes a simple direct solution that significantly reduces the inherent difficulties of finding the solution and ensures optimum solution at the same time. Moreover, the concept of principle of optimality is effectively used to make the proposed technique more computationally efficient and useful. The effectiveness of the developed planning technique has been verified with different test cases.

60 citations


Journal ArticleDOI
TL;DR: The proposed PSO-based ANC algorithm does not require the estimation of secondary path transfer function unlike FXLMS algorithm and, hence, is immune to time-varying nature of the secondary path.
Abstract: In this paper, particle swarm optimization (PSO) algorithm, which is a nongradient but simple evolutionary computing-type algorithm, is proposed for developing an efficient active noise control (ANC) system. The ANC is conventionally used to control low-frequency acoustic noise by employing a gradient-optimization-based filtered-X least mean square (FXLMS) algorithm. Hence, there is a possibility that the performance of the ANC may be trapped by local minima problem. In addition, the conventional FXLMS algorithm needs prior identification of the secondary path. The proposed PSO-based ANC algorithm does not require the estimation of secondary path transfer function unlike FXLMS algorithm and, hence, is immune to time-varying nature of the secondary path. In this investigation, a small modification is incorporated in the conventional PSO algorithm to develop a conditional reinitialized PSO algorithm to suit to the time-varying plants of the ANC system. Systematic computer simulation studies are carried out to evaluate the performance of the new PSO-based ANC algorithm.

60 citations


Journal ArticleDOI
TL;DR: The data suggest that acetylation of αA-crystallin occurs in the human lens and that it affects the chaperone function of the protein.

Journal ArticleDOI
TL;DR: In this article, a new technique for high impedance fault (HIF) detection in power distribution network using ensemble decision trees (random forest) is presented, which gives the randomness in the ensemble of decision trees stacked inside the random forest (RF) model, it provides effective decision on HIF detection.

Journal ArticleDOI
01 Aug 2012
TL;DR: An energy efficient sensor deployment based on multiobjective particle swarm optimization algorithm is proposed here and compared with that of non-dominated sorting genetic algorithm.
Abstract: Deployment of sensor nodes is an important issue in designing sensor networks. The sensor nodes communicate with each other to transmit their data to a high energy communication node which acts as an interface between data processing unit and sensor nodes. Optimization of sensor node locations is essential to provide communication for a longer duration. An energy efficient sensor deployment based on multiobjective particle swarm optimization algorithm is proposed here and compared with that of non-dominated sorting genetic algorithm. During the process of optimization, sensor nodes move to form a fully connected network. The two objectives i.e. coverage and lifetime are taken into consideration. The optimization process results in a set of network layouts. A comparative study of the performance of the two algorithms is carried out using three performance metrics. The sensitivity analysis of different parameters is also carried out which shows that the multiobjective particle swarm optimization algorithm is a better candidate for solving the multiobjective problem of deploying the sensors. A fuzzy logic based strategy is also used to select the best compromised solution on the Pareto front.

Proceedings ArticleDOI
16 Jan 2012
TL;DR: The results based on extensive study indicate that the differential energy based protection scheme can reliably protect the microgrid against different fault situations.
Abstract: A differential energy based fault protection in microgrid is presented in this paper. Initially the currents at the respective buses are retrieved and processed through a novel time-frequency transform known as S-transform to generate time-frequency contours. Spectral energy content of the time-frequency contours of fault current signals are calculated and differential energy is computed to register the fault patterns in the microgrid at grid-connected and islanded mode. The proposed scheme is tested for different shunt faults (symmetrical and unsymmetrical) and High Impedance Faults (HIF) in the microgrid with radial and loop structure. The results based on extensive study indicate that the differential energy based protection scheme can reliably protect the microgrid against different fault situations.

Journal ArticleDOI
TL;DR: A novel filtered-su LMS (FsuLMS) algorithm based ANC system which employs a convex combination of an adaptive IIR filter with a functional link artificial neural network (FLANN) is proposed in this paper.

Journal ArticleDOI
TL;DR: A multimetallic piano-stool complex having Ir-Sn(3) motif has been synthesized from Cp*IrCl(2)](2) and SnCl( 2), catalytically promotes the nucleophilic substitution reaction of γ-hydroxylactams generated from phthalimidals to obtain decorated isoindolinones in excellent yields.
Abstract: A multimetallic piano-stool complex [Cp*Ir(SnCl3)2{SnCl2(H2O)2}] (1) having Ir–Sn3 motif has been synthesized from [Cp*IrCl2]2 and SnCl2. The multimetallic complex catalytically promotes the nucleophilic substitution reaction (here after α-amidoalkylation reaction) of γ-hydroxylactams generated from phthalimidals to obtain decorated isoindolinones in excellent yields. Succinamidals, however, lead to the substituted pyrrolidinones (thermodynamic control product) via SN1-type path as well as eliminated pyrrolinones (kinetic control product) via an E1-type path, depending on the reaction parameters. A straightforward application of this methodology is to synthesize benzo-fused indolizidine alkaloid mimics.

Journal ArticleDOI
17 Jan 2012-PLOS ONE
TL;DR: The data suggest that MGO-modification of the conserved R12 in αA-crystallin to hydroimidazolone may play an important role in reducing protein aggregation in the lens during aging and cataract formation.
Abstract: Methylglyoxal (MGO) is an α-dicarbonyl compound present ubiquitously in the human body. MGO reacts with arginine residues in proteins and forms adducts such as hydroimidazolone and argpyrimidine in vivo. Previously, we showed that MGO-mediated modification of αA-crystallin increased its chaperone function. We identified MGO-modified arginine residues in αA-crystallin and found that replacing such arginine residues with alanine residues mimicked the effects of MGO on the chaperone function. Arginine 12 (R12) is a conserved amino acid residue in Hsp27 as well as αA- and αB-crystallin. When treated with MGO at or near physiological concentrations (2–10 µM), R12 was modified to hydroimidazolone in all three small heat shock proteins. In this study, we determined the effect of arginine substitution with alanine at position 12 (R12A to mimic MGO modification) on the structure and chaperone function of these proteins. Among the three proteins, the R12A mutation improved the chaperone function of only αA-crystallin. This enhancement in the chaperone function was accompanied by subtle changes in the tertiary structure, which increased the thermodynamic stability of αA-crystallin. This mutation induced the exposure of additional client protein binding sites on αA-crystallin. Altogether, our data suggest that MGO-modification of the conserved R12 in αA-crystallin to hydroimidazolone may play an important role in reducing protein aggregation in the lens during aging and cataract formation.

Journal ArticleDOI
TL;DR: This formal three-component coupling involves a Suzuki reaction followed by nucleophile assisted tandem ring closure and the sequential synthesis of substituted heterocycle-fused indenes, benzofluorene, and fluorenes was accomplished.

Journal ArticleDOI
TL;DR: Comparison of performance between the two proposed models reveals that both provide almost identical performance but the later involved low computational complexity and hence is preferable over the WANN model.
Abstract: This paper introduces two robust forecasting models for efficient prediction of different exchange rates for future months ahead. These models employ Wilcoxon artificial neural network (WANN) and Wilcoxon functional link artificial neural network (WFLANN). The learning algorithms required to train the weights of these models are derived by minimizing a robust norm called Wilcoxon norm. These models offer robust exchange rate predictions in the sense that the training of weight parameters of these models are not influenced by outliers present in the training samples. The Wilcoxon norm considers the rank or position of an error value rather than its amplitude. Simulation based experiments have been conducted using real life data and the results indicate that both models, unlike conventional models, demonstrate consistently superior prediction performance under different densities of outliers present in the training samples. Further, comparison of performance between the two proposed models reveals that both provide almost identical performance but the later involved low computational complexity and hence is preferable over the WANN model.

Journal ArticleDOI
TL;DR: In this paper, a direct search technique is applied for optimum planning which ensures only minimisation of planning cost, and the concept of principle of optimality theorem makes the direct method more computationally efficient, reducing total numbers of radial paths.
Abstract: The work presents an investigation on the role of reliability consideration in distribution system configuration and planning cost of radial distribution system. A direct search technique is applied for optimum planning which ensures only minimisation of planning cost. Furthermore, the concept of principle of optimality theorem makes the direct method more computationally efficient, reducing total numbers of radial paths. Reliability indices are computed to evaluate the reliability of systems with different feeder configurations. The proposed approach is also tested for optimal feeder routing with variation in number of substations, which provides the information on trade-off between optimality and reliability of the system configuration. Thus, the proposed approach is found to be highly effective in optimal feeder routing considering complex feeder configuration with multiple substations.

Journal ArticleDOI
TL;DR: In this paper, a nucleophilic substitution of allylic alcohols with carbon (arene, heteroarene), allyltrimethylsilane, and 1,3-dicarbonyl compound, sulfur (thiol), oxygen (alcohol), and nitrogen (sulfonamide) nucleophiles has been demonstrated using an in house developed [Ir(COD)(SnCl 3 )l(μ-Cl)] 2 heterobimetallic catalyst in 1,2-dichloroethane to afford the corresponding allylic products in moderate to

Journal ArticleDOI
TL;DR: Arenes, heteroarenes, 1,3-dicarbonyls and organosilicon nucleophiles undergo highly efficient alkylation with allylic, propargylic and benzylic alcohols in the presence of a new 'Pd-Sn' bimetallic catalyst in nitromethane; water being the sole byproduct.
Abstract: Arenes, heteroarenes, 1,3-dicarbonyls and organosilicon nucleophiles undergo highly efficient alkylation with allylic, propargylic and benzylic alcohols in the presence of a new ‘Pd–Sn’ bimetallic catalyst in nitromethane; water being the sole byproduct. The plausible mechanism of alkylation and the intermediacy of ether has been enumerated.

Journal ArticleDOI
06 Feb 2012-Analyst
TL;DR: Experimental results reveal that abstraction of an acidic proton of S by the fluoride ion, leading to the formation of anionic species, is responsible for the spectral changes.
Abstract: A new easy-to-synthesize chemosensor, 3,3'-bis(indolyl)-4-chlorophenylmethane (hereafter S), was designed, synthesized and employed as a selective optical chemosensor for fluoride ions.(1)H NMR and density functional studies on the system have been carried out to determine the nature of the interaction between S and X(-) (X = inorganic anions) responsible for the significant fluoride-induced changes in the absorption properties of S. The experimental results reveal that abstraction of an acidic proton of S by the fluoride ion, leading to the formation of anionic species, is responsible for the spectral changes. These changes allow signaling for the fluoride ion to detect and estimate the concentration of fluoride ion present even at the submicromolar level, accurate up to 2 μM. Calculations of the transition energies of S, S(-), and S···F(-) (hydrogen bonded complex) show that only S(-) is responsible for the long-wavelength absorption band in the presence of F(-).

Journal ArticleDOI
TL;DR: In this article, a spectral energy function for fault detection during a power swing using a novel time frequency transform known as the S-transform, a variable windowed short-time Fourier transform, which combines the elements of short time Fourier and wavelet transform is presented.
Abstract: Fault during a power swing is a challenging task for the distance relay functioning This article presents a spectral energy function for fault detection during a power swing using a novel time frequency transform known as the S-transform, a variable windowed short-time Fourier transform, which combines the elements of short-time Fourier transform and wavelet transform Initially, the current signal is preprocessed using S-transform to generate the S-matrix and corresponding S-contours (time–frequency contours) The spectral energy content of the S-counters is used to register symmetrical and unsymmetrical faults during a power swing and, based on a set threshold on the spectral energy, the relay blocks during a power swing and issue of the tripping signal during fault The proposed technique is tested for different fault conditions during a power swing with possible variations in operating parameters, including the ability to identify the faults with a response time of 125 cycles from the fault

Journal ArticleDOI
TL;DR: In this paper, a density functional theory study of substitutional carbon impurities in ZnO has been performed, using both the generalized gradient approximation (GGA) and a hybrid functional (HSE06) as exchange-correlation functional.
Abstract: A density functional theory study of substitutional carbon impurities in ZnO has been performed, using both the generalized gradient approximation (GGA) and a hybrid functional (HSE06) as exchange-correlation functional. It is found that the non-spinpolarized C$_\mathrm{Zn}$ impurity is under almost all conditions thermodynamically more stable than the C$_\mathrm{O}$ impurity which has a magnetic moment of $2\mu_{\mathrm{B}}$, with the exception of very O-poor and C-rich conditions. This explains the experimental difficulties in sample preparation in order to realize $d^{0}$-ferromagnetism in C-doped ZnO. From GGA calculations with large 96-atom supercells, we conclude that two C$_\mathrm{O}$-C$_\mathrm{O}$ impurities in ZnO interact ferromagnetically, but the interaction is found to be short-ranged and anisotropic, much stronger within the hexagonal $ab$-plane of wurtzite ZnO than along the c-axis. This layered ferromagnetism is attributed to the anisotropy of the dispersion of carbon impurity bands near the Fermi level for C$_{\mathrm{O}}$ impurities in ZnO. From the calculated results, we derive that a C$_{\mathrm{O}}$ concentration between 2% and 6% should be optimal to achieve $d^{0}$-ferromagnetism in C-doped ZnO.

Proceedings ArticleDOI
16 Mar 2012
TL;DR: In this paper, a Wavelet Energy (WE) based function for symmetrical fault detection during power swing is proposed. But, the proposed algorithm is not suitable for the case where the three-phase symmetric fault is created in the transmission line and proposed algorithm detects the fault with in one and half cycles.
Abstract: Fault during power swing is one of the challenging task for the distance relay functioning. This paper focuses on developing Wavelet Energy (WE) based function for symmetrical fault detection during power swing. The process starts at retrieving the current signal samples during power swing and processes it through Wavelet Transform to derive detailed coefficient of wavelet d1 to d7, used to find out energy of the signal, and called Wavelet Energy (WE). In the case study, the three-phase symmetrical fault is created in the transmission line and proposed algorithm detects the fault with in one and half cycles for 60 Hz system. Simulation results demonstrate the effectiveness of the proposed approach under time-varying conditions.

Journal ArticleDOI
TL;DR: In this paper, the solvation structure, dynamics and hydrogen bond properties of NaCl solutions of liquid N-methylacetamide (NMA) are calculated at 313 K with varying concentrations by using classical molecular dynamics simulations.

Journal ArticleDOI
TL;DR: It is found that HOCS captures heat transfer solutions accurately when compared to other conventional schemes at higher values of R e and P r and the angular variation of thermal boundary layer thickness is presented.

Proceedings ArticleDOI
11 May 2012
TL;DR: This work applies and compares two strategies to control the tip of the flexible link: state-feedback and linear quadratic regulator, designed to reduce tip vibrations and increase system stability due to the flexibility of the arm.
Abstract: this work presents a comparative study of two different control strategies for a flexible single-link manipulator. The dynamic model of the flexible manipulator involves modeling the rotational base and the flexible link as rigid bodies using the Euler Lagrange's method. The resulting system has one Degree-Of-Freedom (one DOF) and it provide freedom to increase the degree as well. Two types of regulators are studied, the State-Regulator using Pole Placement, and the Linear-Quadratic regulator (LQR). The LQR is obtained by resolving the Ricatti equation, in this work, we apply and compare two strategies to control the tip of the flexible link: state-feedback and linear quadratic regulator. These regulators are designed to reduce tip vibrations and increase system stability due to the flexibility of the arm.

Journal ArticleDOI
TL;DR: A Wilcoxon FxL MS (WFxLMS) algorithm is proposed and used in the design of an efficient ANC which is robust to outliers in the secondary path and immune to burst noise acquired by the error microphone.
Abstract: The conventional filtered-x least mean square (FxLMS) algorithm commonly employed for active noise control (ANC) is sensitive to disturbances acquired by the error microphone and yields poor performance in such scenario. To circumvent this problem, in this paper, a Wilcoxon FxLMS (WFxLMS) algorithm is proposed and used in the design of an efficient ANC which is robust to outliers in the secondary path and immune to burst noise acquired by the error microphone. It is demonstrated through simulation study that under such situation the proposed algorithm outperforms the traditional FxLMS algorithm. A particle swarm optimization (PSO) algorithm based robust ANC system, which does not require the modeling of the secondary path is also derived in the paper. Improved performance of the robust evolutionary ANC system over L2 norm based evolutionary ANC system is also shown.