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Showing papers by "Indian Institute of Technology Indore published in 2011"


Journal ArticleDOI
TL;DR: In this article, the analog properties of nMOS junctionless (JL) multigate transistors are compared with those exhibited by inversion-mode (IM) trigate devices of similar dimensions.
Abstract: This paper presents the evaluation of the analog properties of nMOS junctionless (JL) multigate transistors, comparing their performance with those exhibited by inversion-mode (IM) trigate devices of similar dimensions. The study has been performed for devices operating in saturation as single-transistor amplifiers, and we have considered the dependence of the analog properties on fin width Wfin and temperature T. Furthermore, this paper aims at providing a physical insight into the analog parameters of JL transistors. For that, in addition to device characterization, 3-D device simulations were performed. It is shown that, depending on gate voltage, JL devices can present both larger Early voltage VEA and larger intrinsic voltage gain AV than IM devices of similar dimensions. In addition, VEA and AV are always improved in JL devices when the temperature is increased, whereas they present a maximum value around room temperature for IM transistors.

242 citations


Journal ArticleDOI
TL;DR: It has been shown that the area measure of the IMFs has given good discrimination performance and the area measured from the trace of the analytic IMFs, which have circular form in the complex plane, has been used as a feature in order to discriminate normal EEG signals from the epileptic seizure EEG signals.

227 citations


Journal ArticleDOI
01 Feb 2011-Energy
TL;DR: In this paper, the experimental results of chemical dehumidification of air by aqueous CaCl2 liquid desiccant were presented in terms of change in specific humidity, rate of moisture removal and tower effectiveness.

48 citations


Journal ArticleDOI
TL;DR: In this article, the reaction of [Ti(OPri)4] with various oximes, in anhydrous refluxing benzene yielded complexes of the type [Ti{OPri}4−n{L}n], where, n = 1-4 and LH = (CH3)2C NOH (1-4), C9H16C NoH (5-8), C 9H18C NoHo (9-12), and C9h18C NOHo (10-12).

33 citations


Journal ArticleDOI
TL;DR: Spectra of directed networks with inhibitory and excitatory couplings are studied and eigenvector localization properties of various model networks for different values of correlation among their entries are investigated to understand the origin of localization.
Abstract: We study spectra of directed networks with inhibitory and excitatory couplings. We investigate in particular eigenvector localization properties of various model networks for different values of correlation among their entries. Spectra of random networks with completely uncorrelated entries show a circular distribution with delocalized eigenvectors, whereas networks with correlated entries have localized eigenvectors. In order to understand the origin of localization we track the spectra as a function of connection probability and directionality. As connections are made directed, eigenstates start occurring in complex-conjugate pairs and the eigenvalue distribution combined with the localization measure shows a rich pattern. Moreover, for a very well distinguished community structure, the whole spectrum is localized except few eigenstates at the boundary of the circular distribution. As the network deviates from the community structure there is a sudden change in the localization property for a very small value of deformation from the perfect community structure. We search for this effect for the whole range of correlation strengths and for different community configurations. Furthermore, we investigate spectral properties of a metabolic network of zebrafish and compare them with those of the model networks.

27 citations


Journal ArticleDOI
TL;DR: In this paper, the effective thermal conductivity (ke) of a MmNi4.5Al0.5 hydride powder bed was measured using an one-dimensional steady-state axial heat transfer comparative method.
Abstract: The effective thermal conductivity (ke) of a MmNi4.5Al0.5 hydride powder bed was measured using an one-dimensional steady-state axial heat transfer comparative method. The experiments showed that ke lies between 0.1 and 1.2 W/m K in the pressure and the temperature ranges of 0–50 bar and 0–100 °C, respectively. While hydrogen pressure and concentration showed strong influence on ke over the complete range, the temperature effects were minimal. Thermal conductivity of the solid materials, MmNi4.5Al0.5 alloy and its hydrides, was also back calculated from the experimentally measured ke values.

22 citations


Proceedings ArticleDOI
03 Jun 2011
TL;DR: A special type of crossover operation named as Fitness, Elitism, Depth limit & Size (FEDS) crossover to reduce bloat is proposed in which local elitism replacement is used in combination with depth limit and size of the trees to reduced bloat without a subsequent loss of performance.
Abstract: The concept of “bloat” in Genetic Programming is a well established phenomenon characterized by variable-length genomes gradually increasing in size during evolution. Bloat is basically a problem that occurs during crossover and mutation. In this paper we are proposing a special type of crossover operation named as Fitness, Elitism, Depth limit & Size (FEDS) crossover to reduce bloat in which we are using local elitism replacement in combination with depth limit and size of the trees to reduce bloat without a subsequent loss of performance. We are also using the point mutation technique together with the FEDS crossover in order to reduce the bloat. To demonstrate our approach we have designed a Multiclass Classifier using GP by taking few benchmark datasets. The results obtained show that by applying FEDS crossover together with point mutation reduces the problem of bloat substantially without compromising the performance.

18 citations


Proceedings ArticleDOI
08 Apr 2011
TL;DR: The performance of fixed boundary and flexible boundary is evaluated and performance for SVM is better than SVM for recognition of the digits and MLP based classifier is used.
Abstract: Various parameters available for human identification but hand written documents always proven its importance. Although many pieces of work had been done for recognition of roman script but only few attempts have been tried for Indian scripts. Hindi is the most popular language of India which is written and encoded using Devnagri script. Zoning is basically the superimposition of nxn grid on the image of character. In this paper we have compared the various zoning alternatives. The performance of fixed boundary and flexible boundary is evaluated. The average distance and average angle of black pixel of the skeleton of the image pattern is used as feature. For recognition of the digits MLP based classifier SVM based classifier is used. Performance for SVM is better than SVM.

8 citations


Proceedings Article
01 Jan 2011
TL;DR: A new method for discrimination between seizure and seizure-free EEG signals based on empirical mode decomposition (EMD) process and sample entropy is presented, which is better than sample entropy based approach for EEG signal discrimination.
Abstract: The electroencephalogram (EEG) is an invaluable measurement for the purpose of assessing brain activities. The detection of epileptic seizures based on EEG signal is very useful in diagnostics. In this paper, we present a new method for discrimination between seizure and seizure-free EEG signals. The proposed method is based on empirical mode decomposition (EMD) process. We investigated that the sample entropy of the intrinsic mode functions (IMFs) generated by EMD process have potential to discriminate seizure from the seizure-free EEG signals. We have shown that the sample entropy measurement of IMFs is able to characterize the irregularity of the seizure EEG signals. The sample entropy measured from the IMFs has been used as a feature in order to discriminate seizure and seizure-free EEG signals. The sample entropy measurement of IMFs has provided better discrimination performance. The proposed approach based on EMD and sample entropy is better than sample entropy based approach for EEG signal discrimination.

6 citations


Journal ArticleDOI
TL;DR: In this article, the oxyanions (NO3−, CO32−) and phenoxyacetate (PhOAc−) bridged three 1D-coordination polymeric chains.
Abstract: The oxyanions (NO3−, CO32−) and phenoxyacetate (PhOAc−) bridged three 1D-coordination polymeric chains, {[Cu2(μ-hep)2(μ-NO3)]2}n (1), {[Cu2(μ-hep)2(H2O)2]·2H2O(μ-CO3)}n (3) and {[Cu2(μ-hep)2(μ-PhOAc−)]2}n (2) (hep-H = 2-(2-hydroxyethyl)pyridine) have been synthesized. In 1–3 the alkoxide bridged dicopper building units, [Cu(μ-hep)]2 with Cu2O2 core, are linked via the respective anions. Detailed structural analysis reveals that in 1 or 2, two units of NO3− (1) or PhOAc− (2), respectively, bind with the four copper ions in two adjacent alkoxide bridged dimeric units in head-to-head and tail-to-tail fashion and the same binding mode continues along the polymeric chain. This in effect yields a 12-membered metallacyclic ring in between two dimeric core units. However, in 3 only one CO32−group bridges the two copper centres associated with the two neighbouring alkoxide bridged dimeric units in head-to-tail mode which in turn forms a zig-zag polymeric chain. Two coordinated and two lattice water molecules from two adjacent polymeric layers in the structure of 3 form water tetramers. Furthermore, the interaction of water tetramer with the uncoordinated –CO group of the bridging CO32− develops an additional zig-zag chain which is being trapped between the two outer zig-zag coordination polymeric chains in 3. The polymeric chains in 1–3 further develop a 2D-network pattern via an extensive non-covalent hydrogen bonding as well as C–H⋯π and π⋯π interactions.

5 citations


Journal ArticleDOI
TL;DR: In this paper, a surface passivation of PbSe epitaxial layers by growing a thin CaF2 layer is proposed, and improvement in photoluminescence (PL) intensity is observed when the pbSe layer is passivated.


Journal ArticleDOI
TL;DR: In this paper, a mixture of (E)-4-iodo-2-(iodo(phenyl)-5-phenyl-1,3-ditellurofulvene (1) and (Z)-4-,iodo-,5-,phenyl-,1-(diiodo),3-,ditello-,3-deno-,4-,5,phenyl,1-3,ditella-,1-deletion (2) was used to construct molecular structures of 1 and 3.

Journal ArticleDOI
TL;DR: In this article, a triruthenium carbonyl was determined by single crystal XRD method and shown to have two lateral Ru(CO)3Br2 units attached via two PhSe bridges to a Ru (CO)4 center forming a chain-like Ru-Se−Ru-Se-Ru cluster core.

Journal ArticleDOI
TL;DR: In this article, the experimental data indicate a first-order phase transition, with a mixed phase stretching the energy density between 1 and 3.2 GeV/fm3 corresponding to SPS energies.
Abstract: A novel attempt has been made to probe the QCD phase boundary by using the experimental data for transverse momenta of ϕ mesons produced in nuclear collisions at AGS, SPS and RHIC energies. The data are confronted with simple thermodynamic expectations and lattice QCD results. The experimental data indicate a first-order phase transition, with a mixed phase stretching the energy density between ~1 and 3.2 GeV/fm3 corresponding to SPS energies.





Proceedings ArticleDOI
22 Apr 2011
TL;DR: A formulation to form cluster based on concept of bonding and bridging in social network is presented and minimum sum of diameters clustering for two clusters can be solved by reduction constraints into the 2-Conjunctive Normal Form statement.
Abstract: Social network analysis is a set of theories, tools, and processes for better understanding the relationships and structure of a network. Clustering with constraints is an active area of Social network analysis. Adding constraints to clustering improves the performance of a variety of algorithms. Cluster analysis is concerned with the problem of partitioning a given set of entities into homogeneous and well-separated subsets called clusters. Cluster Analysis aims at finding subsets, called clusters, which are homogeneous and/or well separated. Minimum sum of diameters clustering for two clusters can be solved by reduction constraints into the 2-Conjunctive Normal Form statement. This paper presents a formulation to form cluster based on concept of bonding and bridging in social network.

Proceedings ArticleDOI
22 Apr 2011
TL;DR: Current approaches addressing data mining and Security and that reduces 3-SAT problem from optimal sanitization in association rule hiding are reviewed.
Abstract: Large repositories of data contain sensitive information that must be protected against unauthorized access. The protection of the confidentiality of this information has been a long-term goal for the database security research community and for the government statistical agencies. Recent advances in data mining and machine learning algorithms have increased the disclosure risks that one may encounter when releasing data to outside parties. Association rule hiding is one of important privacy preserving data mining problems. This paper review current approaches addressing data mining and Security and that reduces 3-SAT problem from optimal sanitization in association rule hiding.



Proceedings ArticleDOI
22 Apr 2011
TL;DR: This paper uses the well formed computational result showing the solvability of 3SAT in polynomial time, and illustrates the security threats existing on such cryptosystem.
Abstract: In this paper we propose a methodology for breaking the hybrid cryptosystem[1] based on satisfiability problem. The hybrid cryptosystem use 3SAT, the NP Complete approach to perform the task of encryption. In this paper using the well formed computational result [2] showing the solvability of 3SAT in polynomial time, we illustrate the security threats existing on such cryptosystem.

Proceedings ArticleDOI
18 Dec 2011
TL;DR: The proposed Infinite DEcision Agent ensemble Learning (IDEAL) system can achieve better performance in term of sensitivity, specificity and overall accuracy in credit risk analysis.
Abstract: Considering the special needs of credit risk analysis, the Infinite DEcision Agent ensemble Learning (IDEAL) system is proposed. In the first level of our model, we adopt soft margin boosting to overcome over fitting. In the second level, the RVM algorithm is revised for boosting so that different RVM agents can be generated from the updated instance space of the data. In the third level, the perceptron kernel is employed in RVM to generate infinite subagents. Our IDEAL system also shares some good properties, such as good generalization performance, immunity to over fitting and predicting the distance to default. According to the experimental results, our proposed system can achieve better performance in term of sensitivity, specificity and overall accuracy.