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Use of software quality tools to analyse the problems of a large internet media company

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Published by: M Suraj Kumar, Anushree Daptardar, Biswanath Satpathy

Author: M Suraj Kumar

Paper ID: V4I4-1495

Paper Status: published

Published: August 28, 2018

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Review Paper

Literature review of Myanmar Optical Character Recognition techniques

Optical Character Recognition (OCR) is an active research area in the field of pattern recognition due to its application. OCR system converts document images into machine encoded text so that it can be easily accessed and preserved. This system is applied in data processing such as bank cheques, postal address reading, examination question papers, text-to-speech, reading aid for blind, etc. Myanmar OCR system is essential to convert numerous published books, newspapers and journals of Myanmar into editable computer text files. It is a challenge for recognizing Myanmar characters. During the last decades a lot of research has been done in the field of Myanmar optical character recognition (OCR). Myanmar characters recognition is still an open problem for the research community. This paper presents the review of Myanmar OCR system such as pre-processing, feature extraction, classification, post-processing etc. This paper may act as a supportive material for those who wish to know about Myanmar OCR.

Published by: Zu Zu Aung, Cho Me Me Maung, Yadana Htun

Author: Zu Zu Aung

Paper ID: V4I4-1397

Paper Status: published

Published: August 27, 2018

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Research Paper

How can we use recycle aggregate concrete in rural areas for building homes for the villagers

As we are in the stage of development In India, there are many old and undemolished buildings which can be demolished and the demolished buildings can be used for the constructions purpose. In India major cities are getting developed but the rural areas are not able to develop properly as most are from agriculture field in which there is not so much profit basically for farmers. So, they cannot build good homes for them and live in mud homes for their entire lifetime. We have to bring change in their lives so that they can get a good life which a normal people lives there, this problem can be solved by the Recycle Aggregate(RA), which can be used in order to construct homes for them, which will be very durable and less costly and more efficient. Doing this work most people will be able to make their dream home at less cost and they can live happily and peacefully.

Published by: Ashutosh Mishra, Souvik Kundu, S. Mukul Jain

Author: Ashutosh Mishra

Paper ID: V4I4-1549

Paper Status: published

Published: August 27, 2018

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Case Study

ECG signal preprocessing using Savitzky-Golay filter and Moving-average filter

The paper has discussed about the various types of biomedical signals and ventured deep in the topic of ECG signal preprocessing. MATLAB software was used for analysis and research work. Explanation of various types of errors while recording ECG is given in the paper. Various methods of removal of errors called as ECG preprocessing has been discussed such as removal of powerline interference and baseline wander.

Published by: Abhisang Janrao, Utsav Lal

Author: Abhisang Janrao

Paper ID: V4I4-1527

Paper Status: published

Published: August 27, 2018

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Research Paper

Convolutional Neural Network (CNN) based indoor scene recognition model

The indoor scene recognition is the process of recognizing the scene in focus, which can be either an office or home. The indoor scene recognition has many real-time applications, which includes the automatic camera mode selection, robotic mobility, automatic CCTV coverage and alert setting based upon region visiting frequency, etc. The proposed model is designed for the indoor scene recognition based upon the multiple features, which primarily involves the combination of textural and color-pattern based features. The scene recognition is entirely based upon the pattern & texture recognition, which includes the speeded up robust features (SURF), HOG and scale invariant feature transformation (SIFT) features to differentiate the different indoor scenes. The proposed model has coupled with Classify Neural Network (CNN) classification algorithm. The proposed model has achieved the perfect accuracy of nearly 94%, which has outperformed all other data models with individual features of SIFT, SURF or HOG. This shows the effectiveness of the proposed model based upon multi-feature combination in comparison with the individual feature based applications.

Published by: Harsimran Pal Singh, Dr. Vikrant, Dr. Balwinder Rai

Author: Harsimran Pal Singh

Paper ID: V4I4-1538

Paper Status: published

Published: August 27, 2018

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Review Paper

A concise review on cinnoline and its biological activities

Cinnoline is an aromatic heterocyclic compound having a wide range of pharmacological actions like antibacterial, antifungal, anti-inflammatory, anti-tuberculosis, antiepileptic, antidepressant, antitumor, antihypertensive, antianxiety activities. Cinnoline is a fused six-membered ring with two nitrogen atoms as heteroatoms which is an isosteric derivative to quinolone or isoquinoline. This heterocyclic nucleus is the least condensed one and is having a special interest in the synthetic research field. This review discusses the biological activities of cinnoline compounds with different substitutions.

Published by: Sony S, Mathew George, Lincy Joseph

Author: Sony S

Paper ID: V4I4-1531

Paper Status: published

Published: August 27, 2018

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