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15 Dec 2014TL;DR: A novel lightweight user-adaptive online handwriting recognition scheme based on prior identification of the set of various strokes of different shapes used in writing the characters of the underlying alphabet utilizing a representative sample database is presented.
Abstract: In this article, a novel lightweight user-adaptive online handwriting recognition scheme has been presented. The present recognition approach is stroke order free. It is based on prior identification of the set of various strokes of different shapes used in writing the characters of the underlying alphabet utilizing a representative sample database. In this approach a very small number of prototypes of each stroke shape is used along with certain weighted DTW distance based nearest neighbour classifier to recognize the strokes in the input character. Individual characters are identified using a look-up table (LUT) each row of which corresponds to one character composed of a distinct set of stroke shapes. This LUT is formed using the representative sample set of the underlying character set. If a stroke does not find a close match in the training set or if the set of strokes for an input character does not find a corresponding entry in the LUT, user adaptation takes place using a modified Learning Vector Quantization (LVQ) method. The proposed scheme has been implemented in an Android-based Bangla handwriting recognizer [1] for handheld devices and its recognition performance is encouraging.
3 citations
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TL;DR: In this paper, the effect of radiative heat transfer on temperature distribution and formation of thermal NO in a methane-air diffusion flame under different reduced gravity environments was investigated and conservation equations of overall mass, species concentration, momentum and energy for the reactive flows have been numerically solved with the use of finite difference scheme.
Abstract: Combustion of hydrocarbon fuel is accompanied with the formation of nitric oxide (NO) amongst other harmful emissions. In this work, a numerical investigation has been made for understanding the effect of radiative heat transfer on temperature distribution and formation of thermal NO in a methane–air diffusion flame under different reduced gravity environments. Conservation equations of overall mass, species concentration, momentum and energy for the reactive flows have been numerically solved with the use of finite difference scheme. In addition to that a semi-empirical soot model and an optically thin radiation model have been incorporated in the simulation. Gravity level is varied by the changed values of acceleration due to gravity. A thermal NO model incorporated accounts for the NO formation process which is decoupled from the hydrocarbon combustion. The relevant conservation equations have been solved as a post combustion reaction process. The flame height drops marginally with the reduction of gravity. Temperature becomes more uniformly distributed at lower gravity. NO formation boosts up with the fall of gravity below normal level when no radiation effect is considered. However, when radiation is considered, NO formation declines marginally with the reduction of gravity levels. Also in this case, concentration values of NO compare substantially lower with those without radiation. The upsurge of NO formation due to decline in gravity; and on the other hand, a shrinkage in concentration values of NO due to radiation effect can be attributed mainly to the rise and fall of temperature respectively in the computational zone.
3 citations
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01 Nov 2012TL;DR: Experimental results on 14 different types of steel surface defects show that`haar' wavelet features with three decomposition levels performs better than two levels `haar' feature set or two and three decompose levels contourlet feature set.
Abstract: The automatic visual inspection systems (AVIS) are being obvious now-a-days in modern manufacturing industries for quality control, ease of documentation and reduced labor cost. The automatic detection of hot rolled steel surface defects in a real process is challenging due to the localization of it on a large surface and its rare occurrences. In this work an effort has been made to extract a set of features that can effectively address the problem of defect detection on hot rolled steel surface by using machine learning algorithm. It is intended to extract two types of features, namely wavelet and contourlet features with two and three resolution levels separately, and then make a comparison of performance of classification accuracy using these features. Here it is proposed to use state-of-the art support vector machine (SVM) classifier as the machine learning algorithm for detecting the defect surface and normal (defects free) surface. Experimental results on 14 different types of steel surface defects show that ‘haar’ wavelet features with three decomposition levels performs better than two levels ‘haar’ feature set or two and three decomposition levels contourlet feature set.
3 citations
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TL;DR: The authors' statistical models consistently establish a counter‐intuitive relation between repeat developer interaction and bug resolution times, and show that more instances of repeat developer interactions over bug fixing are associated with more time taken for the bugs to be fixed.
Abstract: Large‐scale software systems are being increasingly built by distributed teams of developers who interact across geographies and time zones. Ensuring smooth knowledge transfer and the perc...
3 citations
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TL;DR: It is reported that the medicinal plant Tinospora cordifolia contains substantial amounts of all disaccharidases required for intestinal digestion of carbohydrates, and the plant is also a rich source of saccharifying amylase.
Abstract: Disaccharide intolerance is the inability to digest certain carbohydrates due to a lack of one or more intestinal disaccharidases (e.g., lactase, maltase, isomaltase and sucrase). Symptoms include diarrhea, abdominal distention and flatulence. Management of the disorder by external enzymes supplementation has not yet been attempted. We report that the medicinal plant Tinospora cordifolia contains substantial amounts of all disaccharidases required for intestinal digestion of carbohydrates. The plant is also a rich source of saccharifying amylase. We recovered (units/100 g fresh stem) amylase: 49,000 + 500, maltase: 400 + 50, isomaltase: 130 + 50, sucrase: 4500 + 500, acid lactase: 350 + 30, cellobiase: 35 + 10 and trehalase: 40 + 10 by buffer extraction of the blended stem. Crude enzymes in the forms of stem powder, lyophilized aqueous extract and ethanol precipitated protein were found to be stable. Disaccharidases were optimally active at 50 0C in the pH range of 4–5. Lactase was an acid lactase similar to the type linked with human lactose intolerance. Enzymes were catalytically stable in the pH range of 2–7 and temperature range of up to 40 0C. T. cordifolia enzyme was non-toxic up to a dose of 200 mg protein/kg body weight. Copyright © 2012 John Wiley & Sons, Ltd.
3 citations
Authors
Showing all 581 results
Name | H-index | Papers | Citations |
---|---|---|---|
Debnath Bhattacharyya | 39 | 578 | 6867 |
Samiran Mitra | 38 | 198 | 5108 |
Dipankar Chakravorty | 35 | 369 | 5288 |
S. Saha Ray | 34 | 217 | 3888 |
Tai-hoon Kim | 33 | 526 | 4974 |
Anindya Sen | 29 | 109 | 3472 |
Ujjal Debnath | 29 | 335 | 3828 |
Anirban Mukhopadhyay | 29 | 169 | 3200 |
Avijit Ghosh | 28 | 121 | 2639 |
Mrinal K. Ghosh | 26 | 64 | 2243 |
Biswanath Bhunia | 23 | 75 | 1466 |
Jayati Datta | 23 | 55 | 1520 |
Nabarun Bhattacharyya | 23 | 136 | 1960 |
Pinaki Bhattacharya | 19 | 114 | 1193 |
Dwaipayan Sen | 18 | 71 | 1086 |