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Automatic Subtitle Generation for Sound in Videos

The last ten years have been the witnesses of the emergence of any kind of video content. Moreover, the appearance of dedicated websites for this phenomenon has increased the importance the public gives to it. In the same time, certain individuals are deaf and occasionally cannot understand the meanings of such videos because there is not any text transcription available. Therefore, it is necessary to find solutions for the purpose of making these media artifacts accessible for most people. Several software proposes utilities to create subtitles for videos but all require an extensive participation of the user. Hence, a more automated concept is envisaged. This report indicates a way to generate subtitles following standards by using speech recognition. Three parts are distinguished. The first one consists in separating audio from video and converting the audio in suitable format if necessary. These second phase proceeds to the recognition of speech contained in the audio. The ultimate stage generates a subtitle file from the recognition results of the previous step. Directions of implementation have been proposed for the three distinct modules. The experiment results have not done enough satisfaction and adjustments have to be realized for further work. Decoding parallelization, use of well-trained models, and punctuation insertion are some of the improvements to be done.

Published by: Anshul Ganvir, Kunal Pal, Sanket Jagtap, Pranita Katole, Mayur Bhalavi

Author: Anshul Ganvir

Paper ID: V4I2-1309

Paper Status: published

Published: March 21, 2018

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Review Paper

A Review Paper on Software Cost Estimation using Fuzzy Logic

With the pace of time software cost estimation is one of the most tedious works in project management. The entire process of estimation is uncertain in nature because it relies upon some attributes which cannot be predicted during the early stages of development. After studying various research papers given by different researcher we try to explore soft computing techniques which can be able to overcome the uncertainty and imprecision in estimation. The crucial focus of this article is to investigate the importance of fuzzy logic technique in enhancing the effort estimation accuracy, using COCOMO II by characterizing input parameters using various functions for example Gaussian, trapezoidal and triangular membership functions and comparing their results. In our study NASA (93) dataset will also be used in the evaluation of the proposed Fuzzy Logic COCOMO II. After that deep analysis will be done by various membership functions and then will declare which function gives better results for maximum criteria when compared with the other technique.

Published by: Nishi, Vikas Malik

Author: Nishi

Paper ID: V4I2-1323

Paper Status: published

Published: March 21, 2018

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Research Paper

Reading aid for visually impaired people

It is known that the technological advancements are increasing at a faster pace. But the utilization of technologies in various sectors is very low. Human communication today is mainly via speech and text. To access information in a text, a person needs to have vision. However, those who are deprived of vision can gather information using their hearing capability. It is known that most of the people find it difficult to detect the text from the paper and books. The proposed method is a camera-based assistive text reading to help a blind person in reading the text present on the text labels, printed notes from paper and books. The proposed project involves Text Extraction from the image and converting the Text to Speech converter, a process which makes blind persons to read the text. This is carried out by using Raspberry pi, where The Pi processes the text images and reads out the content using the speaker. Optical character recognition (OCR) is the identification of printed characters using photoelectric devices and Computer software. To use OCR for pattern recognition to perform Document image analysis (DIA). In this portability is the main aim which is achieved by providing a battery backup and can be implemented as a future technology. The portability allows the user to carry the device anywhere and can use anytime. This enables the use of text to speech conversion.

Published by: S. Muralidharan, D. Venkatesh, J. P. Pritmen, Purushothaman R, S. Jeya Anusuya, V. Saravanaperumal

Author: S. Muralidharan

Paper ID: V4I2-1320

Paper Status: published

Published: March 21, 2018

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Review Paper

Power Quality Compensation by using UPFC

This paper deals with the performance of UPFC to the power quality in the electrical system. UPFC is used to improve the transient stability in power system. UPFC can control the power flow in the electrical power system. Unified Power Flow Controller can easily control the real and reactive power flow. For getting without significant losses in the function of electrical system to synchronization of voltage frequency and phase. The following factors are affecting the power quality in electrical system they are voltage sag, voltage variation ,interruption ,swells ,brownout ,distortion, harmonic noise ,voltage spikes ,voltage flicker etc.Comparing to normal standards these factors can produced the deviation in the power. UPFC can control the parameters like series impedance, shunt impedance, line voltage, current, active power, reactive power, oscillation damping etc. UPFC is able to controlling the parameters affecting from power flow simultaneously or selectively. Power factor is increased by using UPFC instead of STATCOM. By installing UPFC in the system we can improve the reliability and quality of power supply .Using inverter and rectifier the circuit model is developed. Simulation and Matlab results are given to validate the performance of UPFC.

Published by: P. Madhumathi, V. Lavanya, K. Thamaraiselvi

Author: P. Madhumathi

Paper ID: V4I2-1311

Paper Status: published

Published: March 21, 2018

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Research Paper

Seaweeds as Biofertiliser

Seaweeds were collected from Bhatye beach, Ratnagiri. Seaweed Enteromorpha was taken and different doses of it were given to Fenugreek plants in different tubs. The doses given were 0.1%,0.2%,1%,2%,5% and control of Liquid seaweed fertilizer. The plants with 1% Liquid Seaweed Fertilizer showed proper growth as compared with others with 1%as constant growth of Liquid Seaweed Fertilizer Enteromorpha, Ulva and Mixture of both were given to the Fenugreek plants. Here the plants with Liquid Seaweed Fertilizer Ulva showed nice growth with plants of size 6.7-6.9cms.Soil parameter like pH, Electrical Conductivity, carbon, Sulphur, Potassium were analyzed before and after addition of Liquid Seaweed Fertilizer. Soil parameters after addition of Liquid Seaweed Fertilizer were found to be increased.

Published by: Archita Atul Khanvilkar

Author: Archita Atul Khanvilkar

Paper ID: V4I2-1315

Paper Status: published

Published: March 21, 2018

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Review Paper

Cloud Assisted Trend Analysis of Twitter Data using Hadoop

In today‘s highly developed world, every minute, people around the globe express themselves via various platforms on the Web and in each minute, a huge amount of unstructured data is generated. This data is in the form of text which is gathered from forums and social media websites, such data is termed as big data. User opinions are related to a wide range of topics like politics, latest gadgets and products. These opinions can be mined using various technologies and are of utmost importance to make predictions or for one-to-one consumer marketing since they directly convey the viewpoint of the masses. Here we propose to analyze the sentiments of Twitter users through their tweets in order to extract what they think and find out the most trending events happening around the globe. Hence we are using hadoop and amazon web services for sentiment analysis which will process the huge amount of data on an amazon ec2 hadoop cluster faster.

Published by: Aman Gupta, Ishaan Bhasin, Narinder Kaur

Author: Aman Gupta

Paper ID: V4I2-1329

Paper Status: published

Published: March 21, 2018

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