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Showing papers by "National Institute of Technology, Meghalaya published in 2017"


Journal ArticleDOI
TL;DR: An aggregate model of EV fleets and improved version of fractional order (FO) controller is provided in all the areas for robust LFC considering bilateral transactions and Numerous simulations are conducted to validate the superiority of the proposed control strategy.
Abstract: Introduction of vehicle-to-grid technology offer electric vehicles (EVs) to participate in different ancillary services under competitive electric market. EVs provide an opportunity to grow new products and services for grid management. Particularly, EVs, which is a new form of distributed energy storage, can be used to compensate the uncontracted power in the local area if the contracts between the market players are violated. This paper presents the participation of EVs for load frequency control (LFC) under deregulated environment along with other conventional sources such as hydro, thermal, and gas turbine units. An aggregate model of EV fleets and improved version of fractional order (FO) controller is provided in all the areas for robust LFC considering bilateral transactions. Flower pollination algorithm, which is one of the new proven nature inspired algorithm employed to choose the optimal parameters of the FO controllers under several scenarios. Numerous simulations are conducted to validate the superiority of the proposed control strategy.

199 citations


Journal ArticleDOI
TL;DR: In this paper, a synergetic effect of molecular weight (Mn) and fluorine (F) on the performance of all-polymer solar cells (all-PSCs) is comprehensively investigated by tuning the Mn of the acceptor polymer poly((N,N′-bis(2-octyldodecyl)-naphthalene-1,4,5,8-bis (dicarboximide)-2,6-diyl)-alt-5,5′-(2,2′-bithiophene)) (P
Abstract: A synergetic effect of molecular weight (Mn) and fluorine (F) on the performance of all-polymer solar cells (all-PSCs) is comprehensively investigated by tuning the Mn of the acceptor polymer poly((N,N′-bis(2-octyldodecyl)-naphthalene-1,4,5,8-bis(dicarboximide)-2,6-diyl)-alt-5,5′-(2,2′-bithiophene)) (P(NDI2OD-T2)) and the F content of donor polymer poly(2,3-bis-(3-octyloxyphenyl)quinoxaline-5,8-dyl-alt-thiophene-2,5-diyl). Both Mn and F variations strongly influence the charge transport properties and morphology of the blend films, which have a significant impact on the photovoltaic performance of all-PSCs. In particular, the effectiveness of high Mn in increasing power conversion efficiency (PCE) can be greatly improved by the devices based on optimum F content, reaching a PCE of 7.31% from the best all-PSC combination. These findings enable us to further understand the working principles of all-PSCs with a view on achieving even higher power conversion efficiency in the future.

86 citations


Journal ArticleDOI
TL;DR: A scalable design flow for in-memory computing has been proposed, where a given multioutput logic function is synthesized as a netlist of NOT/NOR gates and then mapped to the crossbar using the Memristor-Aided loGIC (MAGIC) design style.
Abstract: Because of their resistive switching properties and ease of controlling the resistive states, memristors have been proposed in nonvolatile storage as well as logic design applications. Memristors can be fabricated in a crossbar and suitable voltages applied to the row and column nanowires to control their states. This makes it possible to move toward new non-von Neumann-type architectures, usually referred to as in-memory computing, where logic operations can be performed directly on the storage fabric. In this paper, a scalable design flow for in-memory computing has been proposed, where a given multioutput logic function is synthesized as a netlist of NOT/NOR gates and then mapped to the crossbar using the Memristor-Aided loGIC (MAGIC) design style. The memristors corresponding to the primary inputs are initialized a priori. Subsequently, the required gate operations are performed by applying suitable row and column voltages in sequence. Two alternate mapping schemes have been analyzed. The switching characteristics of MAGIC NOR gates have been evaluated using circuit simulation under the Cadence Virtuoso environment. Experimental evaluation on ISCAS'85 benchmarks reports the average improvements of 27.7%, 34.6%, and 26.2%, respectively over a recently published work with respect to the number of memristors, number of cycles, and total energy dissipation, respectively. It may be noted that the energy consumption of the gates used in the proposed approach (NOT and NOR) is significantly higher than that using CMOS technology.

58 citations


Journal ArticleDOI
TL;DR: In this article, the effect of the side-chain regiochemistry of TVT skeletons on the intrinsic properties of these polymers remains unclear, and they quantitatively characterized the aggregation, crystallization, and backbone orientation of both polymer films, which were then correlated to the charge-carrier mobilities.
Abstract: The π-extended (E)-2-(2-(thiophen-2-yl)-vinyl)thiophene (TVT)-based polymers are an interesting class of semiconducting polymers because of their excellent mobilities and unique film microstructures. Despite these properties, the effect of the side-chain regiochemistry of TVT skeletons on the intrinsic properties of these polymers remains unclear. To investigate this, in this study, hexyl-substituted TVT subunits with a “tail in (TI)” or “tail out (TO)” regiosymmetrical arrangement were first introduced into diketopyrrolopyrrole (DPP)-based copolymer main chains to afford “isomeric” polymers PI and PO, respectively. By combining optical spectroscopy, atomic force microscopy (AFM), and grazing incidence X-ray diffraction (GIXD) data, we quantitatively characterized the aggregation, crystallization, and backbone orientation of both polymer films, which were then correlated to the charge-carrier mobilities. The PI film exhibited a bimodal packing motif comprising a mixture of edge-on and face-on orientations...

51 citations


Journal ArticleDOI
TL;DR: In this paper, a rotary drum composting of paper mill sludge (PMS) for 20 days was carried out to determine the variation in bioavailable and leachable fraction of heavy metals (Cd, Cu, Fe, Ni, Pb, Cr, Zn, Hg and Mn).

48 citations


Journal ArticleDOI
TL;DR: In this paper, a small capacity liquid desiccant evaporative cooling system for small office application is developed, which consists of a dehumidifier, a regenerator, regenerative evaporative cooler, heat exchangers (solution-solution, air-water, and solution-water) and non-concentrating solar collectors.

47 citations


Journal ArticleDOI
TL;DR: In this paper, a compact ultrathin quad-band polarization-insensitive metamaterial absorber with a wide angle of absorption is proposed, where the unit cell of the proposed structure comprises conductive cross dipoles loaded with split-ring resonators.
Abstract: In this letter, a compact ultrathin quad-band polarization-insensitive metamaterial absorber with a wide angle of absorption is proposed. The unit cell of the proposed structure comprises conductive cross dipoles loaded with split-ring resonators. The proposed absorber exhibits simulated peak absorption of 96.15%, 99.17%, 99.75%, and 98.75% at 3.68, 8.58, 10.17, and 14.93 GHz, respectively. The proposed multiband absorber is ultrathin and compact in configuration with a thickness of 0.0122 λ and a unit cell size of 0.122 λ (corresponding to the lowest frequency). Moreover, by understanding the interaction of the unit cell with incident electromagnetic radiation, a conceptual equivalent circuit model is developed, which is used to understand the influence of coupling on the quad band of absorption. The simulated response of the proposed design demonstrates that it has quad-band polarization-insensitive absorption characteristics. In addition, the proposed absorber shows high absorption for an oblique incidence angle up to 60° for both transverse-electric and transverse-magnetic polarizations.

47 citations


Journal ArticleDOI
TL;DR: This paper presents an analytical study and hardware-in-loop (HIL) cosimulation design of a grid-connected inverter system with a combinational robust observer-based modified repetitive current controller, which is compared with traditional proportional integral, proportional resonant, and MRC under both normal and fault conditions.
Abstract: This paper presents an analytical study and hardware-in-loop (HIL) cosimulation design of a grid-connected inverter system with a combinational robust observer-based modified repetitive current controller. In this study, main attention is paid to improve power quality and tracking performance of a distributed generation (DG) interfacing system under various perturbations. The inherent delay in convergence of conventional repetitive controller (RC) is reduced by introducing a low pass filter in delay line and this configuration is named as modified RC (MRC). By adding an observer with MRC, system states can be reconstructed, which improve the system dynamic response. Robust stability and convergence criterion are derived in terms of linear matrix inequality using combined Lyapunov function and singular value decomposition technique, which determine the suitable parameters of feedback control and state observer gains. By utilizing these gains, the switching signals are generated to operate the DG interfacing inverter effectively. The performance of proposed controller is compared with traditional proportional integral, proportional resonant, and MRC under both normal and fault conditions. Finally, HIL cosimulation is performed by realizing the power circuit in MATLAB/Simulink as a simulation model and a control structure using Xilinx system generator platform as burnt in hardware Virtex-6 field programmable gate array (FPGA) ML605 evaluation kit.

45 citations


Journal ArticleDOI
TL;DR: In this article, the effect of the feed, frequency of rotation, drill geometry, and modulation amplitude on the force and subsequently damage of carbon fiber reinforced plastic (CFRP) laminates has been investigated using both conventional and modulation assisted drilling techniques.

44 citations


Journal ArticleDOI
01 Aug 2017
TL;DR: The proposed technique for distribution of packets along different routes is very elegant with a better performance than the existing load-balanced routing protocols like Fibonacci Multipath Load Balancing and Multiple AODV, as established from a theoretical analysis as well as through simulation results.
Abstract: In this paper, we propose a new routing protocol called the Least Common Multiple based Routing (LCMR) for load-balanced multipath routing in Mobile Ad hoc NETworks (MANETs) First, we find multiple paths between a source to a destination, when those exist, along with the estimates of the time to route a packet along each of these paths The data packets originating from the source to the destination are then distributed along these multiple paths in such a way that the number of data packets sent along any such path is inversely proportional to the routing time through this path This distribution strategy keeps the load balanced along all the paths so that the overall routing time for sending the data packets is minimized Routes between a given source-destination pair are discovered in a way similar to that in the Ad hoc On-demand Distance Vector (AODV) routing protocol with the difference that instead of the number of hops, the routing time for reaching the destination along every route is measured, and multiple routes, if those exist, will also be determined by the route discovery process Our proposed technique for distribution of packets along different routes is very elegant with a better performance than the existing load-balanced routing protocols like Fibonacci Multipath Load Balancing (FMLB) and Multiple AODV (MAODV), as established from a theoretical analysis as well as through simulation results

43 citations


Journal ArticleDOI
TL;DR: It is concluded that it is better to estimate wavelet coefficients rather than pixels, which allows a CNN with far fewer samples and lesser training time to achieve better reconstruction quality with lesser run time compared to a recent state-of-the-art technique that directly estimates the HR pixels using a CNN.

Journal ArticleDOI
TL;DR: An anomalous nature of Raman spectral asymmetry has been reported from silicon nanowires (SiNWs) prepared from a heavily doped p-type Si wafer using a metal induced etching technique as discussed by the authors.
Abstract: An anomalous nature of Raman spectral asymmetry has been reported here from silicon nanowires (SiNWs) prepared from a heavily doped p-type Si wafer using a metal induced etching technique. Raman spectra of SiNWs prepared from two p-type Si wafers with different doping levels show different behaviors in terms of asymmetry as characterized by the asymmetry ratio. The SiNWs prepared from high doped p-type wafer show an anomaly in asymmetry in addition to the red shift and broadening of the Raman line shape due to the presence of the “FAno-quaNTUM” (FANTUM) effect. The heavy doping in the wafer provides a continuum of energy states to be available to interact with confined optic phonons which results in electron–phonon interaction. SiNWs prepared from low doped p-type wafer show a red shift and asymmetric broadening due to the quantum confinement effect alone. Careful analysis has been provided to clearly understand the role of Fano and quantum effects in p-type SiNWs with high doping and their relative contr...

Journal ArticleDOI
TL;DR: In this paper, the entropy generation analysis of couple stress fluid flow in an annulus between two concentric rotating vertical cylinders is studied, and the effect of relevant parameters on the flow and entropy generation rate are discussed and depicted through graphs.
Abstract: An attempt has been made to study the entropy generation analysis of couple stress fluid flow in an annulus between two concentric rotating vertical cylinders. There is a porous lining attached to the inside of an outer cylinder. The flow is under the influence of a radial magnetic field. The flow in the annular gap is caused by rotation of the cylinders. The Stokes couple stress flow model is employed. The flow in the porous sleeve is governed by Darcy's law. The velocity, temperature, entropy generation number, Bejan number, wall shear stress and heat transfer rate at the inner and outer cylinders are obtained numerically by employing a finite difference scheme with vanishing of couple stresses on the boundary. The effect of relevant parameters on the flow and entropy generation rate are discussed and depicted through graphs.

Journal ArticleDOI
TL;DR: This paper proposes a hybrid system to diagnose ailments using optimizing individual classifier parameters for two classifier techniques, namely, support vector machine (SVM) and multilayer perceptron (MLP) technique.
Abstract: With the widespread adoption of e-Healthcare and telemedicine applications, accurate, intelligent disease diagnosis systems have been profoundly coveted. In recent years, numerous individual machine learning-based classifiers have been proposed and tested, and the fact that a single classifier cannot effectively classify and diagnose all diseases has been almost accorded with. This has seen a number of recent research attempts to arrive at a consensus using ensemble classification techniques. In this paper, a hybrid system is proposed to diagnose ailments using optimizing individual classifier parameters for two classifier techniques, namely, support vector machine (SVM) and multilayer perceptron (MLP) technique. We employ three recent evolutionary algorithms to optimize the parameters of the classifiers above, leading to six alternative hybrid disease diagnosis systems, also referred to as hybrid intelligent systems (HISs). Multiple objectives, namely, prediction accuracy, sensitivity, and specificity, have been considered to assess the efficacy of the proposed hybrid systems with existing ones. The proposed model is evaluated on 11 benchmark datasets, and the obtained results demonstrate that our proposed hybrid diagnosis systems perform better in terms of disease prediction accuracy, sensitivity, and specificity. Pertinent statistical tests were carried out to substantiate the efficacy of the obtained results.

Journal ArticleDOI
TL;DR: In this article, the effects of radiative heat transfer on entropy generation in flow of two immiscible non-Newtonian fluids between two horizontal parallel plates are investigated, where both the plates are maintained at constant temperatures higher than that of the fluid.
Abstract: An analysis is presented to investigate the effects of radiative heat transfer on entropy generation in flow of two immiscible non-Newtonian fluids between two horizontal parallel plates. Both the plates are maintained at constant temperatures higher than that of the fluid. The Stokes’ couple stress flow model is employed. The flow region consists of two zones with the flow of the heavier fluid taking place in the lower zone. The classical “no-slip” condition is prescribed at the plates and continuity of velocity, vorticity, shear stress, couple stress, temperature and heat flux are imposed at the interface. The original partial differential Navier–Stokes equations are converted to ordinary differential equations by assuming velocity and temperature are functions of vertical distance and solved mathematically by usual classical methods. The derived velocity and temperature profiles are used to compute the expressions for the entropy generation number and Bejan number. The effects of relevant parameters on velocity, temperature, entropy generation number and Bejan number are investigated. The computations show that the entropy production decreases with thermal radiation, whereas it increases with viscous dissipation. The effect of viscous dissipation is justified since it significantly affects heat transfer and entropy generation characteristics and therefore should not be ignored.

Journal ArticleDOI
TL;DR: In this paper, the entropy generation rate and Bejan number of a reactive third grade fluid through a channel with convective heating is examined. But the authors did not consider the effects of various important parameters on entropy generation.
Abstract: Inherent irreversibility in the flow of a reactive third grade fluid though a channel with convective heating is examined. It is well known that heat dissipated from the exothermic chemical reaction passes through fluid in an irreversible manner and as a result entropy is generated continuously within the channel. Analytical solutions of the resulting dimensionless nonlinear boundary-value-problems arising from the governing equations were obtained by using perturbation method. These solutions are utilized to obtain the entropy generation rate and Bejan number for the system. The influence of various important parameters on the entropy generation rate and Bejan number are shown graphically and discussed accordingly.

Journal ArticleDOI
TL;DR: A self-controlled precharge-free CAM (SCPF-CAM) structure is proposed for high-speed applications and is useful in applications where search time is very crucial to design larger word lengths.
Abstract: Content-addressable memory (CAM) is a hardware search-engine used for parallel lookup that assures high-speed match but at the cost of higher power consumption. Both low power NAND-type and high-speed NOR-type match-line (ML) schemes suffer from requirement of the precharge prior to the search. Recently, a precharge-free ML structure has been proposed but with inadequate search performance. In this brief, a self-controlled precharge-free CAM (SCPF-CAM) structure is proposed for high-speed applications. The proposed architecture is useful in applications where search time is very crucial to design larger word lengths. The proposed $128 \times 32$ -bit SCPF-CAM structure has been implemented using predictive 45-nm CMOS process and simulated in SPECTRE at the supply voltage of 1 V. The ML delay using the proposed SCPF-CAM architecture has been reduced by 88% and 73% compared to the precharge-free and traditional NAND-type ML structure.

Journal ArticleDOI
TL;DR: In this article, an unsupervised band extraction method for hyperspectral images has been proposed, which integrates the nonlinear characteristics, as well as, the advantages of principal component analysis and extract higher order statistics of data.
Abstract: The ‘curse of dimensionality’ is a drawback for classification of hyperspectral images. Band extraction is a technique for reducing the dimensionality and makes it computationally less complex for classification. In this article, an unsupervised band extraction method for hyperspectral images has been proposed. In the proposed method, kernel principal component analysis KPCA is used for transformation of the original data, which integrates the nonlinear characteristics, as well as, the advantages of principal component analysis and extract higher order statistics of data. The KPCA is highly dependent on the number of patterns for calculating kernel matrix. So, a proper selection of subset of patterns, which represent the original data properly, may reduce the computational cost for the proposed method with considerably better performance. Here, density-based spatial clustering technique is first used to group the pixels according to their similarity, and then some percentages of pixels from each cluster are selected to form the proper subset of patterns. To demonstrate the effectiveness of the proposed clustering-and KPCA-based unsupervised band extraction method, investigation is carried out on three hyperspectral data sets, namely, Indian, KSC, and Botswana. Four evaluation measures, namely classification accuracy, kappa coefficient, class separability, and entropy are calculated over the extracted bands to measure the efficiency of the proposed method. The performance of the proposed method is compared with four state-of-the-art unsupervised band extraction approaches, both qualitatively and quantitatively, and shows promising results compared to them in terms of four evaluation measures.

Journal ArticleDOI
TL;DR: In this article, synchronisation and anti-synchronisation between a hyperchaotic and chaotic system using nonlinear active control (NAC) scheme, its analogue circuit design and a...
Abstract: The objectives of this paper are synchronisation and anti-synchronisation between a hyperchaotic and a chaotic systems using nonlinear active control (NAC) scheme, its analogue circuit design and a...


Journal ArticleDOI
TL;DR: In this paper, various properties and different methods of estimation of the unknown parameters of the Transmuted Rayleigh (TR) distribution from the frequentist point of view are derived.
Abstract: This article addresses the various properties and different methods of estimation of the unknown parameters of the Transmuted Rayleigh (TR) distribution from the frequentist point of view. Although, our main focus is on estimation from frequentist point of view, yet, various mathematical and statistical properties of the TR distribution (such as quantiles, moments, moment generating function, conditional moments, hazard rate, mean residual lifetime, mean past lifetime, mean deviation about mean and median, the stochastic ordering, various entropies, stress-strength parameter and order statistics) are derived. We briefly describe different frequentist methods of estimation approaches, namely, maximum likelihood estimators, moments estimators, L-moment estimators, percentile based estimators, least squares estimators, method of maximum product of spacings, method of Cram\'er-von-Mises, methods of Anderson-Darling and right-tail Anderson-Darling and compare them using extensive numerical simulations. Monte Carlo simulations are performed to compare the performances of the proposed methods of estimation for both small and large samples. Finally, the potentiality of the model is analyzed by means of two real data sets which is further illustrated by obtaining bias and standard error of the estimates and the bootstrap percentile confidence intervals using bootstrap resampling.

Journal ArticleDOI
TL;DR: In this article, the approach of machining ceramics with electrical discharge machining process is a great challenge till date due to its low electrical conductivity and long micro-cracks are obtained during machining that leads to the workpiece breakage.
Abstract: The approach of machining ceramics with electrical discharge machining process is a great challenge till date due to its low electrical conductivity. Machining is made possible by reinforcing with a conductive phase which increases the overall electrical conductivity. Present work focuses on machining of multi walled carbon nanotubes filled alumina composites. Samples with concentrations ranging from 2.5 to 12.5 vol.% are considered for machining. At lower concentration of 2.5 vol.%, effective machining is not possible. Wire lag phenomena is observed during machining at 5 vol.% sample concentration. Proper machinability is observed with concentration of 7.5 vol.% or more. Also, long micro-cracks are obtained during machining that leads to the workpiece breakage. Spalling effect is observed as the most dominating material removal mechanism. A comparison between alumina composites and conducting metallic alloys were carried out for surface characteristics.


Journal ArticleDOI
TL;DR: In this paper, an analytical investigation of convective heat transfer and entropy generation analysis of flow of micropolar fluid is presented, where the infinite channel is assumed to be saturated with porous material and the walls are maintained at different constant temperatures.
Abstract: In this study, an analytical investigation of convective heat transfer and entropy generation analysis of flow of micropolar fluid is presented. The infinite channel is assumed to be saturated with porous material and the walls are maintained at different constant temperatures. The Eringen thermo-micro-polar material model is used to simulate the rheological flow in the channel. The fluid is assumed to be gray, absorbing, emitting but non-scattering medium, and the Rosseland’s approximation is utilized to simulate the radiative heat flux component of heat transfer in energy transport equation. The resulting governing equations are then solved under physically viable boundary conditions at the channel walls using the Adomian decomposition method. The influences of emerging thermophysical parameters are addressed through graphs. The computations show that the increase in the Grashof number and radiation parameter causes to increase the entropy generation. Further, the effect of viscous dissipation was taken into account since it significantly affects heat transfer and entropy generation characteristics and cannot be ignored.

Journal ArticleDOI
TL;DR: The drawbacks of Fisher's linear-discriminant-analysis-based feature extraction (FE) methods are addressed and a proposal is made to overcome it as well as to reduce the Hughes phenomenon and computational complexity of the system.
Abstract: Dimensionality reduction is an important task where the aim is to reduce the number of features and make the system less time consuming for classification. Here, the drawbacks of Fisher’s linear-discriminant-analysis-based feature extraction (FE) methods are addressed and a proposal is made to overcome it as well as to reduce the Hughes phenomenon and computational complexity of the system. The proposed FE technique initially partitions the complete set of features into several highly correlated subgroups. Then a linear transformation is performed using a maximal margin criterion over each subgroup. The proposed method is supervised in nature, because prior information about the class label of data is required to calculate the maximum margin criterion based on interclass and intraclass scatter matrices. Experiments are conducted with the PaviaU and Indian pine data sets, and the results are compared with five state-of-the-art techniques, both qualitatively and quantitatively, to demonstrate the effectiveness of the proposed method.

Journal ArticleDOI
TL;DR: In this paper, the effects of combined buoyancy forces, thermal radiation, chemical reaction, velocity slip, magnetic field and porous medium permeability on unsteady mixed convection flow of electrically conducting fluid past a stretching sheet embedded in a porous medium are investigated.
Abstract: This paper studies the effects of combined buoyancy forces, thermal radiation, chemical reaction, velocity slip, magnetic field and porous medium permeability on unsteady mixed convection flow of electrically conducting fluid past a stretching sheet embedded in a porous medium. Appropriate governing equations are procured and also reduced to set of nonlinear coupled ordinary differential equations by means of suitable similarity transformations. The boundary valued problem is numerically tackled using the fourth-fifth order Runge-Kutta-Fehlberg integration approach with shooting outline. Various controlling parameters effects on the fluid velocity, temperature and kinds concentration profiles together with local skin friction, Nusselt number and Sherwood number are presented diagrammatically and deliberated upon quantitatively. It is found that buoyancy forces increment enhance both heat and mass transfer rate while thermal and concentration boundary layer denseness diminished.

Journal ArticleDOI
TL;DR: AutoSense is presented, a framework to automatically classify resilient (insensitive) program data versus the sensitive ones with probabilistic reliability guarantee, and achieves promising reliability results compared to manual annotations and earlier methods.
Abstract: In recent times, approximate computing is being increasingly adopted across the computing stack, from algorithms to computing hardware, to gain energy and performance efficiency by trading accuracy within acceptable limits. Approximation aware programming languages have been proposed where programmers can annotate data with type qualifiers (e.g., precise and approx) to denote its reliability. However, programmers need to judiciously annotate so that the accuracy loss remains within the desired limits. This can be non-trivial for large applications where error resilient and non-resilient program data may not be easily identifiable. Mis-annotation of even one data as error resilient/insensitive may result in an unacceptable output. In this paper, we present AutoSense , a framework to automatically classify resilient (insensitive) program data versus the sensitive ones with probabilistic reliability guarantee. AutoSense implements a combination of dynamic and static analysis methods for data sensitivity analysis. The dynamic analysis is based on statistical hypothesis testing, while the static analysis is based on classical data flow analysis. Experimental results compare our automated data classification with reported manual annotations on popular benchmarks used in approximate computing literature. AutoSense achieves promising reliability results compared to manual annotations and earlier methods, as evident from the experimental results.

Journal ArticleDOI
01 Dec 2017
TL;DR: A novel Most Cost Effective Providers’ Resources First (MCEPRF) algorithm is proposed and the simulation results presented herein demonstrate the superiority of the proposed approach over its non-coordinated counterparts.
Abstract: Cloud computing has been the enabling technology for shifting mass scale computation and storage requirements from individually owned clients towards an on-demand and utility styled alternative that provides many services. However, cost of maintaining datacenters, keeping the environmental ramifications of data centers at check, providing affordable computation alternative to users still needs to be addressed in a wholesome manner. One of the most exciting and recent research areas in cloud computing has been cloud federations that can mitigate the aforesaid problems. The past decade has seen immense efforts towards interoperability of clouds leading to realistic cloud federations. Motivated by these advancements and equipped with available technologies, this paper presents a detailed account of a cooperative cloud market. It delineates trading mechanisms of such cloud markets, extent of coordination among market players with illustrative examples. It also presents a novel two-phase coordinated resource reservation and provisioning (CRRP) approach that allocates cloud resources to users to meet the goal of minimizing users' cost. To that end, this paper proposes a novel Most Cost Effective Providers' Resources First (MCEPRF) algorithm. The efficiency of the proposed algorithm has been tested using synthetic data and the simulation results presented herein demonstrate the superiority of the proposed approach over its non-coordinated counterparts.

Journal ArticleDOI
TL;DR: In this article, an innovative tool point geometry that was designed, developed, and implemented for the purpose of investigating the drilling performance of composite laminates was presented and discussed about an innovative drill point geometry.
Abstract: Drilling of polymer composites by means of traditional tools does cause a significant amount of damage to the surface. The forces generated during drilling are the major factors that exert an influence on hole quality. This makes the design and development of the drill geometries an area of paramount importance. Over the years, several tools have been developed and commercialized to minimize the damage induced by drilling. In this technical paper, we presented and discussed about an innovative tool point geometry that was designed, developed, and implemented for the purpose of investigating the drilling performance of composite laminates. The performance of the developed drill bit is compared with extensively used twist drill bit in reference to the drilling induced forces and damage. The input parameters considered are tool point geometry, speed, and feed. Results of this investigation reveal that both forces and damage are significantly reduced when holes are produced using the developed drill bit.

Proceedings ArticleDOI
01 Oct 2017
TL;DR: The simulation results of PV integration reveal that the dynamic response of PV plants aids to meet the peak demands to enhance the reliability of smart electric grids.
Abstract: The integration of Renewable energy sources (RES) into the traditional electric grid infrastructure is a challenging task due to their intermittent nature as well as the technical and non-technical complexities. This paper presents the impacts of large scale Photovoltaic (PV) penetration into the IEEE 39-bus test system. The modeled PV plants are integrated at suitable locations to study the impacts of penetration using Siemens PSS/E (Power System Simulator for Engineers) software. The maximum PV integration capacity is determined based on the variation in slack bus generation with gradual increment in penetration levels. Furthermore, the simulations are carried to study the effect of sudden loss of PV plants, three phase faults at solar PV plant connected bus for different PV penetration levels. The simulation results of PV integration reveal that the dynamic response of PV plants aids to meet the peak demands to enhance the reliability of smart electric grids.