Hybrid Approach to English-Hindi Name Entity Transliteration

Machine translation (MT) research in Indian languages is still in its infancy. Not much work has been done in proper transliteration of name entities in this domain. In this paper we address this issue. We have used English-Hindi language pair for our experiments and have used a hybrid approach. At first we have processed English words using a rule based approach which extracts individual phonemes from the words and then we have applied statistical approach which converts the English into its equivalent Hindi phoneme and in turn the corresponding Hindi word. Through this approach we have attained 83.40% accuracy.Comment: Proceedings of IEEE Students' Conference on Electrical, Electronics and Computer Sciences 201

Detection of Brain Tumor in MRI Image through Fuzzy-Based Approach

The process of accurate detection of edges of MRI images of a brain is always a challenging but interesting problem. Accurate detection is very important and critical for the generation of correct diagnosis. The major problem that comes across while analyzing MRI images of a brain is inaccurate data. The process of segmentation of brain MRI image involves the problem of searching anatomical regions of interest, which can help radiologists to extract shapes, appearance, and other structural features for diagnosis of diseases or treatment evaluation. The brain image segmentation is composed of many stages. During the last few years, preprocessing algorithms, techniques, and operators have emerged as a powerful tool for efficient extraction of regions of interest, performing basic algebraic operations on images, enhancing specific image features, and reducing data on both resolution and brightness. Edge detection is one of the techniques of image segmentation. Here from image segmentation, tumor is located. Finally, we try to retrieve tumor from MRI image of a brain in the form of edge more accurately and efficiently, by enhancing the performance of diffe rent kinds of edge detectors using fuzzy approach

Classifier-Based Text Simplification for Improved Machine Translation

Machine Translation is one of the research fields of Computational Linguistics. The objective of many MT Researchers is to develop an MT System that produce good quality and high accuracy output translations and which also covers maximum language pairs. As internet and Globalization is increasing day by day, we need a way that improves the quality of translation. For this reason, we have developed a Classifier based Text Simplification Model for English-Hindi Machine Translation Systems. We have used support vector machines and Na\"ive Bayes Classifier to develop this model. We have also evaluated the performance of these classifiers.Comment: In Proceedings of International Conference on Advances in Computer Engineering and Applications 201

A Novel Approach to Improve Sobel Edge Detector

AbstractAn improved edge detection algorithm based on k-means clustering approach. Being a fundamental tool in image processing, edge detection aims to identify the points in an image at which image brightness changes sharply or regularly. In Medical Science, edge detection is very useful, such as in segmentation of MRI image. Magnetic resonance imaging (MRI) produces a detailed image of any human body part, by using the natural magnetic properties of the body tissues. Since body tissues contain hydrogen atoms, which made to emit radio signals. These radio signals are then detected by a scanner. Magnetic Resonance imaging is a medical test used to diagnose tumors of the brain on the basis of high quality images produced by it. In this paper edge detection is made to determine the location of a tumor. The edge detection technique presented in this paper uses k-means clustering approach to generate the initial groups. These groups are then input to the mamdani fuzzy inference system, which generates different threshold parameters. When these parameters are fed into the classical sobel edge detector, it is found that images obtained are more enhanced and provide exact location of a tumor in a brain

Experiential versus traditional pedagogy: A study of primary school in Delhi NCR

The Indian education system has been struggling with forming a foundational sense of numeracy among children. The draft of the Indian National Education Policy (NEP) that was released in early June 2019 makes a very clear statement about the "severe learning crisis." The long policy document states thatthere are a significant number of children in elementary school who don't have the basic reading and math skills and recommends a "pedagogical shift" to change this. Therefore, theresearch will focus on understanding whether a pedagogical shift from traditional pedagogy to experiential pedagogy will lead to better learning outcomes among primary school students. Using a pre-and post-test, we divided forty students (n = 40) from grade one into two groups. The first group experienced traditional pedagogy, while the second group experienced experiential pedagogy. Using SPSS 19, a t-test was administered. The result indicates students in experiential learning have better pre-test scores than students in traditional learning. The outcome stipulates that experiential learning provides holistic learning with better understanding that students can connect to their lives

Experiential versus Traditional Pedagogy: A study of primary school in Delhi NCR

The Indian education system has been struggling with forming a foundational sense of numeracy among children. The draft of the Indian National Education Policy (NEP) that was released in early June 2019 makes a very clear statement about the "severe learning crisis." The long policy document states that there are a significant number of children in elementary school who don't have the basic reading and math skills and recommends a "pedagogical shift" to change this. Therefore, the research will focus on understanding whether a pedagogical shift from traditional pedagogy to experiential pedagogy will lead to better learning outcomes among primary school students. Using a pre- and post-test, we divided forty students (n = 40) from grade one into two groups. The first group experienced traditional pedagogy, while the second group experienced experiential pedagogy. Using SPSS 19, a t-test was administered. The result indicates students in experiential learning have better pre-test scores than students in traditional learning. The outcome stipulates that experiential learning provides holistic learning with better understanding that students can connect to their live

Natural Reserves of Water on Earth

The fact that the United Nations has realized the importance of safe drinking water as SDG6 imposes a great responsibility on man to urgently realize the ways and means of conserving water in its natural reserves in pristine form. The chapter describes the geography and geology of sources of water emphasizing their role in the preservation of water in nature. It also suggests ways and means of reducing the ‘water footprint' so that people participate in choosing optimal and judicious patterns for using water. </jats:p