SDM College of Engineering and Technology

About: SDM College of Engineering and Technology is a based out in . It is known for research contribution in the topics: Diesel fuel & Combustion. The organization has 350 authors who have published 351 publications receiving 2399 citations.

Comparative study of various biofuel combinations derived from agricultural residues on the performance and emissions of CI engine

Abstract: In this present work, performance and emission levels have been investigated using renewable and sustainable fuels derived from different agricultural residues. For the same injected pilot ...

Improvement to libor masek algorithm of template matching method for iris recognition

Abstract: Iris recognition has become a popular research in recent years due to its reliability and nearly perfect recognition rates. Iris recognition system has three main stages: Image preprocessing, Feature extraction and Template matching. In the preprocessing stage, iris segmentation is critical to the success of subsequent feature extraction and template matching stages. Most recent algorithm on template matching proposed by Libor Masek shows an improvement of 3.6 % over existing algorithm like Hamming Distance. This paper addresses for improvement to Libor Masek algorithm of Template matching method for Iris Recognition. The method evaluates on iris images taken from the CASIA iris image database version 1.0 and version 3. Experimental results show that the proposed approach has more efficient than to Libor Masek in terms of Template matching Time of about 99%, Creation of template is of about 10 % and False Rejection Ratio (FRR) is of about 10 %.

Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learning

Abstract: End-to-end text-to-speech (TTS) systems have been developed for European languages like English and Spanish with state-of-the-art speech quality, prosody, and naturalness. However, development of end-to-end TTS for Indian languages is lagging behind in terms of quality. The challenges involved in such a task are: 1) scarcity of quality training data; 2) low efficiency during training and inference; 3) slow convergence in the case of large vocabulary size. In our work reported in this paper, we have investigated the use of fine-tuning the English-pretrained Tacotron2 model with limited Sanskrit data to synthesize natural sounding speech in Sanskrit in low resource settings. Our experiments show encouraging results, achieving an overall MOS of 3.38 from 37 evaluators with good Sanskrit spoken knowledge. This is really a very good result, considering the fact that the speech data we have used is of duration 2.5 hours only.

Extraction of flat and nested data records from web pages

Abstract: This paper deals with studies the problem of identification and extraction of flat and nested data records from a given web page. With the explosive growth of information sources available on the World Wide Web, it has become increasingly difficult to identify the relevant pieces of information, since web pages are often cluttered with irrelevant content like advertisements, navigation-panels, copyright notices etc., surrounding the main content of the web page. Hence, it is useful to mine such data regions and data records in order to extract information from such web pages to provide value-added services. Currently available automatic techniques to mine data regions and data records from web pages are still unsatisfactory because of their poor performance. In this paper, we propose a new method to identify and extract the data records from the web pages automatically. Given a page, the proposed technique first identifies the data region based on the visual clue information. It then extracts each record from the data region and identifies it whether it is a flat or nested record based on visual information -- the area covered by and the number of data items present in each record. The experimental results show that the proposed technique is effective and better than existing techniques.

A study on thermodynamic and sound parameters of some nematics

Abstract: Measurements of ultrasonic velocity and density of solutes in dilute solutions as a function of concentration and temperature can be used to obtain several thermodynamic and acoustical parameters and their excess adiabatic compressibility. The physical parameters that can be determined through these are: molar sound velocity or Rao's number (R), molar compressibility or Wada's constant (B), characteristic acoustic impedance (Z), intermolecular or free length (L f), free volume (V f), available volume (V a) and adiabatic compressibility (β). These parameters play an important role in the phenomenon associated with intermolecular interaction and hence in sound transmission. For example, the parameter Z that is determined by the product of density (d) and ultrasonic velocity (c) has a greater significance as a characteristic property of the medium than does either the density or velocity individually so also in case of sound transmission the parameter of more concern is the molar sound volume (V m) rather th...