(SoE) School of Engineering

<p>Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.</p>

Shiv Nadar University

In the present work, a surface acoustic wave (SAW) interdigital transducer (IDT) has been modeled as a resistance-inductance-capacitance (RLC) network. The model includes the effects of metal shorting and energy storage at metal discontinuities, as well as an arbitrary polarity sequence of fingers. A C ++ program generates the equivalent electrical circuit, which is directly simulated by Simulation Program with Integrated Circuit Emphasis (SPICE), a popular electrical circuit simulator. Simulations compare well with reported experimental results, validating the proposed model.

World University root node

Electrical Engineering

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

A circuit simulation compatible surface acoustic wave interdigital transducer macro-model

An electrical modelling and analysis is presented for thermal nondestructive evaluation of materials by stepped infrared thermography. A one-dimensional electrical analysis based on the Laplace transform technique of network-analysis and time delay in an RC ladder network is given for defect depth estimation. Defect depth is evaluated based on the time instants at which surface temperature evolution over the defect and nondefect regions of the material deviates from its constant initial slope, corresponding to the response of a semi-infinite material under similar conditions of step heating. The method is applicable even for three-dimensional geometries of materials having unknown thermal properties and variable surface emissivity. Experimental and simulated results validate the proposed method and give good estimation of defect depth, even under noisy conditions for a thermally anisotropic material and a nonflat bottom type of defect. © IEE, 2004.

IEE Proceedings: Science, Measurement and Technology

Electrical approach to defect depth estimation by stepped infrared thermography

The paper presents an information extraction system that takes input from Hindi texts and improves the information content retrieved by using anaphor/pronoun resolution mechanism. The information extraction system developed consists of three major modules: The language Parser, Resolution System and Information Extractor. The language parser used is HPSG (Head-Driven Phrase Structure Grammar) based that provides both syntactic and semantic information to the anaphor resolution system. HPSG was chosen because it provides a set of constraint on the co-referential structures in the language, which bounds the search for an antecedent to a more precise location in the discourse. The semantic information included in its parsing may be helpful for removing ambiguity in anaphor/pronoun resolution. The anaphor resolution system uses few heuristic rules to resolve intrasentential references while centering theory is used for intersentential resolution.

Computer Science and Engineering

Proceedings of the 4th International Conference on Language Resources and Evaluation, LREC 2004

Information extraction from Hindi texts

The accident at the Union Carbide Plant in Bhopal on the night of December 2-3, 1984 was the worst accident resulting in the immediate death of approximately 4,000 and the subsequent death, over the years, of another over 16,000 with life long injuries suffered by over 200,000 followed by genetic mutations to affect several generations of offsprings. The pollution of water bodies is affecting several hundred thousand more. No other recorded accident anywhere in the world has produced even 10% of the above casualties and life-long effects. In this paper, we will briefly describe the accident and the significant effects it has had on regulations, process development and design, training, teaching, RD, etc., all impacting process safety.

Chemical Engineering

Progress in Safety Science and Technology Volume 4:Proceedings of the 2004 International Symposium on Safety Science and Technology

Bhopal accident and its effect on process safety worldwide

In this paper, we propose FRID (Fuzzy-Rough Interactive Dichotomizes); a methodology for the induction of decision trees using rough set based measures to capture cognitive uncertainties inherent to databases. These measures are: 1) Fuzzy-roughness and 2) Fuzzy-rough entropy. Developed FRID algorithms have been initially applied to various real-world benchmark datasets, and experimentally compared with the three fuzzy decision tree generation algorithms reported so far. Simulation results confirm that the use of proposed strategy leads to smaller decision trees and as a result better generalization performance.

IEEE International Conference on Fuzzy Systems

FRID: Fuzzy-rough interactive dichotomizers

Civil Engineering

University of Mississippi

Study of Complete Freeze-thaw and Moisture Induced Degradation for Polyester/e-glass Composites

We consider the efficient initialization of structure and parameters of generalized Gaussian radial basis function (RBF) networks using fuzzy decision trees generated by fuzzy ID3 like induction algorithms. The initialization scheme is based on the proposed functional equivalence property of fuzzy decision trees and generalized Gaussian RBF networks. The resulting RBF network is compact, easy to induce, comprehensible, and has acceptable classification accuracy with stochastic gradient descent learning algorithm.

International journal of neural systems

On the structure and initial parameter identification of Gaussian RBF networks.

Today an average transmission line is loaded more heavily than ever before and this has given rise to serious problem of voltage instability. A noble method for power system voltage instability estimation and improvement using ANN is presented The method is based on the fan that reactive power injections at critical buses of the power system help to steer the system away from a developing voltage collapse. The location and quantum of reactive power support has been computed based on sensitivity. The sensitivity matrix is formulated by cascading the output/input sensitivity of multiplayer perceptron model with that of input features versus reactive power injections. The effectiveness of the proposed method is demonstrated on Ward-Hale 6-bus, IEEE14-bus and IEEE 30-bus test systems. The method can be effectively used to make the system secure against voltage collapse condition in system planning and on-line operation.

Journal of the Institution of Engineers (India): Electrical Engineering Division

Sensitivity based approach for voltage instability alleviation using ANN

Fabrication of Micro-Electro-Mechanical-System (MEMS) using bulk silicon micromachining technology and semiconductor power devices often requires wafer processing from both the front and the back side of the silicon wafer. While transferring patterns onto one side of the wafer using photolithography, it is a requirement to align these with respect to already-formed patterns on the other side of the wafer. In order to do this, very expensive infrared mask aligners are generally used, which enables "viewing" of the patterns on one side of the wafer from the other side for the purpose of accurate pattern registration. In the present paper, a new technique is presented for front-to-back alignment. In this technique, identical square-shaped patterns called a "reference frame", having sides greater than the wafer diameter, are created on both the mask plates and used for pattern transfer on the two sides of the wafer. The regular device patterns are placed within this reference frame using the corners of the square as origins of coordinates. The detailed procedure of mask design and wafer-to-mask alignment is described. The technique has been successfully used to form common MEMS structures such as diaphragm and cantilever beams. Copyright © 2004 American Scientific Publishers. All rights reserved.

Sensor Letters

A new technique of front-to-back alignment for MEMS

The advent of e-commerce has brought about a radical change in the process of auctions. There is a trend towards automation in the process of auctions. Agents are widely used in this automation process. Case-based reasoning is a process which provides a user a method to automate the process of bidding. This process has an inherent learning component. CBR combined with a bidding agent for strategizing the bidding functionality provides a flexible solution for automating the bidding process for any type of auction in any domain. This paper proposes a generic bidding agent which can participate in the auction. The proposed solution is based on CBR learning technique and software agents.