ABV Indian Institute of Information Technology and Management

www.iiitm.ac.in
Gwalior, India

Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior , commonly known as the Indian Institute of Information Technology and Management, Gwalior or ABV-IIITM is a university located in Gwalior, Madhya Pradesh, India, and one of India's Institutes of Information Technology. Established in 1997 and named for Atal Bihari Vajpayee, the institute obtained the status of Deemed University in 2001 and was recognized as an Institute of National Importance. The university campus is spread over 160 acres in the foothills of the Gwalior Fort. Wikipedia.


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Srivastava A.,ABV Indian Institute of Information Technology and Management
Journal of molecular modeling | Year: 2014

Stability and electronic properties of zigzag (3 ≤ n ≤ 16) gallium phosphide nanotubes (GaP NTs) have been analyzed by employing a systematic ab-intio approach based on density functional theory using generalized gradient approximation with revised Perdew Burke Ernzerhoff type parameterization. Diameter dependence of bond length, buckling, binding energy, and band gap has been investigated and the analysis shows that the bond length and buckling decreases with increasing diameter of the tube, highest binding energy of (16, 0) confirms this as the most stable amongst all the NTs taken into consideration. The present GaP NTs shows direct band gap and it increases with diameter of the tubes. Using a two probe model for (4, 0) NT the I-V relationship shows an exponential increase in current on applying bias voltage beyond 1.73 volt.


Jain S.K.,ABV Indian Institute of Information Technology and Management | Srivastava P.,ABV Indian Institute of Information Technology and Management
Computational Materials Science | Year: 2011

We have employed density functional theory calculations in generalized-gradient approximation to investigate electronic and optical properties of single walled boron nanotubes. We have calculated binding energy per atom, band structure, partial density of states, dielectric function, absorption spectra and loss function for armchair (3, 3), zigzag (5, 0) and chiral (4, 2) nanotubes. Our calculations show that (4, 2) nanotube is highly stable and semiconducting with direct band gap of 0.40 eV followed by armchair (3, 3) and zigzag (5, 0) nanotubes depicting metallic nature. The optical properties of periodic nanotubes were performed for parallel and perpendicular polarized light. It is found that all the three nanotubes are anisotropic in nature and chiral (4, 2) nanotube showing single peak for both absorption spectra as well as loss function irrespective of polarization direction. © 2011 Elsevier B.V. All rights reserved.


Srivastava A.,ABV Indian Institute of Information Technology and Management | Tyagi N.,ABV Indian Institute of Information Technology and Management
Materials Chemistry and Physics | Year: 2012

Present paper discusses the structural stability and electronic properties of AlX (X = P, As and Sb) nanowires in its linear, zigzag, ladder, square and hexagonal type atomic configurations. The structural optimization has been performed in self consistence manner by using generalized gradient approximation with revised Perdew, Burke and Ernzerhof type parameterization. The study observes that in all the three nanowires, the square shaped atomic configuration is the most stable one. The calculated electronic band structures and density of states profile confirms the semiconducting behaviour of linear and zigzag shaped nanowires of AlP, whereas for AlAs and AlSb nanowires are metallic. The ground state properties have also been analysed in terms of bond length, bulk modulus and pressure derivative for all the nanowires along with their bulk counterpart. The lower bulk modulus of all the linear shaped geometries of AlX nanowires in comparison to its bulk counterpart indicates softening of the material at reduced dimension. © 2012 Elsevier B.V. All rights reserved.


Jaiswal N.K.,ABV Indian Institute of Information Technology and Management | Srivastava P.,ABV Indian Institute of Information Technology and Management
Solid State Communications | Year: 2012

We have investigated the stability and electronic properties of Co-doped zigzag graphene nanoribbons (ZGNR) by employing first principles calculations based on density functional theory. The results show that Co impurities settled in antiferromagnetic ground state which is ∼2 meV favourable than ferromagnetic state. The formation energy indicates spontaneous formation of one-edge and centre doped structures, however, one-edge doping is found to be the most energetically favourable configuration. A charge transfer takes place from C to Co atoms which shows the formation of chemical bonding between C and Co. Binding energy also confirms the strong bonding of dopant Co impurity with C. The calculations show that band structures of all the ZGNR is substantially modified due to CoC charge transfer and the characteristic edge states of ZGNR are completely lost. Co-doping induces site independent enhanced metallicity irrespective of the ribbon widths. The broken degeneracy of electronic states in one-edge and centre doped ZGNR is important for spintronic applications. © 2012 Elsevier Ltd. All rights reserved.


Dhar J.,ABV Indian Institute of Information Technology and Management | Jatav K.S.,ABV Indian Institute of Information Technology and Management
Ecological Complexity | Year: 2013

In most models of population dynamics, diffusion between two patches is assumed to be either continuous or discrete, but in reality, many species diffuse only during a single period, and diffusion often occurs in regular pulses. Further, in forest habitats, the highest-level predator species are restricted to a specific territory, but prey can impulsively move between territories. Therefore, in this paper, we consider a delayed stage-structured predator-prey model with impulsively diffusive prey between two patches; in the model, patches represent the territories of two different predator populations. Here, we analytically obtain the global attractivity condition of predator-extinction periodic solutions for the system by using the concepts of Hui and Chen (2005); a numerical simulation is also included to illustrate this result. Further, we establish permanence conditions for the coexistence of the species using the theory of impulsive delayed differential equations. Finally, we explore the possibilities of the permanence of the system by using the growth rates of immature predators and the impulse period as critical parameters, and we also obtain the parameters' threshold limits using numerical experimentation. © 2012 Elsevier B.V.


Jaiswal N.K.,ABV Indian Institute of Information Technology and Management | Srivastava P.,ABV Indian Institute of Information Technology and Management
Journal of Computational and Theoretical Nanoscience | Year: 2012

We have performed a systematic study to investigate how transition metal (TM) atoms affect the electronic properties of zigzag graphene nanoribbons (ZGNR). We considered the interaction of ZGNR and TM taking Ni as a terminating element as well as a substitutional dopant at single vacancy sites. Present calculations revealed that all the considered ribbons have ferromagnetic ground state. The calculated binding energy varies from ?6.86 eV to ?10.55 eV for Ni-termination and ?4.07 eV to ?10.35 eV for Ni-doping that shows a rather strong binding. The present calculations revealed that edge doped ribbons are energetically more favourable than the center doping. Ni-termination enhances the metallicity with a little distortion in the characteristics band structure of ZGNR whereas in Ni-doping, the characteristics band structure is lost and a dispersive band appears at Fermi level. The position of this dispersive band is independent of the ribbon width and thus equalizing the metallicity in ZGNR. Width independent metallicity is crucial at nano regime. Copyright © 2012 American Scientific Publishers.


Saraswat M.,ABV Indian Institute of Information Technology and Management | Arya K.V.,ABV Indian Institute of Information Technology and Management
Micron | Year: 2014

Automatic quantification and classification of leukocytes in microscopic images are of paramount importance in the perspective of disease identification, its progress and drugs development. Extracting numerical values of leukocytes from microscopic images of blood or tissue sections represents a tricky challenge. Research efforts in quantification of these cells include normalization of images, segmentation of its nuclei and cytoplasm followed by their classification. However, there are several related problems viz., coarse background, overlapped nuclei, conversion of 3-D nuclei into 2-D nuclei etc. In this review, we have categorized, evaluated, and discussed recently developed methods for leukocyte identification. After reviewing these methods and finding their constraints, a future research perspective has been presented. Further, the challenges faced by the pathologists with respect to these problems are also discussed. © 2014 Elsevier Ltd.


Jaiswal N.K.,ABV Indian Institute of Information Technology and Management | Srivastava P.,ABV Indian Institute of Information Technology and Management
Solid State Communications | Year: 2011

The size dependent electronic properties of armchair graphene nanoribbons (AGNR) with Ni doped atoms have been investigated using spin-unrestricted density functional theory. We predict antiferromagnetic (AFM) ground states for Ni-termination and one edge Ni-doping. The computed formation energy reveals that one edge Ni-terminated AGNR are energetically more favourable as compared to pristine ribbons. One edge substitutional doping is energetically more favourable as compared to centre doping by ∼1 eV whereas both edge doping is unfavourable. The bond length of substitutional Ni atoms is shorter than that of Ni adsorption in GNR, implying a stronger binding for substitutional Ni atoms. It is evident that binding energy is also affected by the coordination number of the foreign atom. The results show that Ni-interaction perturbs the electronic structure of the ribbons significantly, causing enhanced metallicity for all configurations irrespective of doping site. The band structures reveal the separation of spin up and down electronic states indicating towards the existence of spin polarized current in Ni-terminated and one edge doped ribbons. Our calculation predicts that AGNR containing Ni impurities can play an important role for the fabrication of spin filters and spintronic devices. © 2011 Elsevier Ltd. All rights reserved.


Saraswat M.,ABV Indian Institute of Information Technology and Management | Arya K.V.,ABV Indian Institute of Information Technology and Management | Sharma H.,ABV Indian Institute of Information Technology and Management
Swarm and Evolutionary Computation | Year: 2013

An automatic segmentation of leukocytes can assist pharmaceutical companies to take decisions in the discovery of drugs and encourages for development of automated leukocyte recognition system. Segmentation of leukocytes in tissue images is a complex process due to the presence of various noise effects, large variability in the images and shape of the nuclei. Surprisingly, rare efforts have been made to automate the segmentation of leukocytes in various disease models on hematoxylin and eosin (H&E) stained tissue images. The present work proposes a novel strategy based on differential evolution (DE) algorithm to segment the leukocytes from the images of mice skin sections stained with H&E staining and acquired at 40×magnification. The proposed strategy is a first inline report used in such type of image database. Further, the proposed strategy is compared with well-known segmentation algorithms. The results show that the proposed strategy outperforms the traditional image segmentation techniques. © 2013 Elsevier B.V.


Saraswat M.,ABV Indian Institute of Information Technology and Management | Arya K.V.,ABV Indian Institute of Information Technology and Management
Engineering Applications of Artificial Intelligence | Year: 2014

Automated leukocytes segmentation in skin section images can be utilized by various researchers in animal experimentation for testing anti-inflammatory drugs and estimating dermatotoxicity of various toxic agents. However, complex morphological structure of skin section degrades the performance of leukocytes segmentation due to the extraction of vast number of artifacts/noise along with leukocytes. Rare works have been done to reduce such artifacts. Therefore, in this paper, a supervised methodology for leukocytes segmentation from the images of inflamed mice skin sections is introduced. The method is based on threshold based binary classifier to reduce the artifacts. The optimum values of thresholds are calculated using multi-objective optimization technique, non-dominated sorting genetic algorithm-II (NSGA-II) and receiver operating characteristic (ROC) curve. The experimental results confirm that the proposed method is prompt and precise to segment the leukocytes in highly variable images. © 2013 Elsevier Ltd.

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