Study on bamboo reinforcement concrete structure
Bamboo is used as a construction material from earlier days of construction. It was used as reinforcement in a rural area and as formwork also. Concrete is a brittle material so it cannot be used as a single material in construction due to its low tensile strength. In this study, we tried to find out the properties of bamboos from past studies. and from the past study, we can find out the better way to improve the strengths of bamboo as a reinforcement in concrete structures.
Published by: Rajneesh Bhandari, Pooja Semwal
Author: Rajneesh Bhandari
Paper ID: V5I2-1186
Paper Status: published
Published: March 15, 2019
IoT based smart energy meter
In the recent digital era, technology starts to find new ways of improving and enhancing human lives, all the devices are getting smarter than we could expect it would be. In the same way, we have an idea of making the energy meters of Electricity Board highly smarter using the technology “Internet of Things (IoT)”. The smart energy meter is connected with Electricity Board, household appliances and the user through IoT and mobile application. We are focusing on making the smart energy meter too smartly connect with the household appliances through IoT and also to connect with the authorized persons through a mobile application to have control over it.
Published by: Ahin Shapiro R., Dr. A Balamurugan, D. Satheesh Kumar, G. Swaminathan
Author: Ahin Shapiro R.
Paper ID: V5I2-1265
Paper Status: published
Published: March 15, 2019
Smart helmet to detect and prevent accident
The impact when a motorcyclist involves in a high-speed accident without wearing a helmet is very dangerous and can cause the fatality. Wearing a helmet can reduce shock from the impact and may save a life. There are many countries enforcing a regulation that requires the motorcycle's rider to wear a helmet when riding on their motorcycle, Malaysia is an example. A smart helmet is a special idea which makes motorcycle driving safer than before. This is implemented using GSM and GPS technology. The working of this smart helmet in IoT is very simple, vibration sensors are placed in different places of the helmet where the probability of hitting is more which are connected to microcontroller board. So when the rider crashes and the helmet hit the ground, these sensors sense and gives to the microcontroller board, then controller extract GPS data using the GPS module that is interfaced to it. When the data exceeds minimum stress limit then GSM module automatically sends the message to ambulance or family members. It also has an alcohol detector sensor which detects whether the person is drunk and switches off the engine if the sensor output is high.
Published by: L. Sindhu, G. Swedha, G. Nandhini, S. J. Raffel, M. Rashika
Author: L. Sindhu
Paper ID: V5I2-1201
Paper Status: published
Published: March 14, 2019
Answer script evaluator: A literature survey
Every college, university, school conduct exams and most important part of exams are the results. In order to get these results, the exam papers have to be evaluated one by one manually. This process of evaluating the exam papers is time-consuming and requires more manpower. To overcome this solution, we have come up with a thought that removes the manual evaluation process. Our project focuses on developing a system that evaluates an answer script against a pre-uploaded marking scheme. Initially, the answers are taken in digital format and those digital answers are processed using algorithms such as word2vec where the word’s similarity index is extracted and the words similar to it are noted. Using this we can also get the meaning of the paragraph and we can match it with the answer key and get the match percentage. Using this percentage, we can calculate the marks to be awarded.
Published by: Sachin B. S., Shivaprasad K., Somesh T., Sumanth Hegde, Radhika A. D.
Author: Sachin B. S.
Paper ID: V5I2-1259
Paper Status: published
Published: March 14, 2019
Survey on generative adversarial networks
GAN stands for Generative Adversarial Networks.GANs are the most interesting topics in Deep Learning. The concept of GAN is introduced by Ian Good Fellow and his colleagues at the University of Montreal. The main architecture of GAN contains two parts: one is a Generator and the other is Discriminator. The name Adversarial stands for conflict and here the conflict is present between Generator and Discriminator. And hence the name adversarial comes to this concept. In this paper, the author has investigated different ways GAN’s are used in real time applications and what are the different types of GAN’s present.GAN’s are mainly important for generating new data from existing ones. As a machine learning model cannot work properly if the size of the dataset is small GAN’s are here to help to increase the size by creating new fake things from original ones.GAN’s are also used in creating images from the given words that are text-to-image conversion.GANs are also applied in image resolution, image translation and in many other scenarios. From this survey on GAN author aim to know what are the different applications of GAN that are present and their scope. The author has also aimed at knowing the different types of GAN’s available at present. The author has also aimed at knowing the different applications of GAN and different proposed systems by various authors.
Published by: N. Yashwanth, P. Navya, Md. Rukhiya, K. S. V. Prasad, Dr. K. S. Deepthi
Author: N. Yashwanth
Paper ID: V5I2-1198
Paper Status: published
Published: March 14, 2019
A text reader for the visually impaired using Raspberry Pi
In this paper, an innovative, efficient and real-time beneficial technique that enables the user to hear the contents of text images instead of reading through them has been introduced. It uses the combination of Optical Character Recognition (OCR) i.e. Tesseract and Text to Speech Synthesizer (TTS) in Raspberry Pi. This kind of system helps visually impaired people to interact with computers and day-to-day text effectively through vocal and keyboard interface. Text-to-Speech is a device that scans and reads English alphabets and numbers that are in the image using the OCR technique and changing it to voices. We are including obstacle detection via ultrasonic sensor and color detection. This device consists of three modules, image processing module, voice processing module and an object detecting module. The device was developed based on Raspberry Pi 3 Model R, Clock Speed of 1.2 GHz.
Published by: C. Ebenezer Durai, A. Selvarani, S. Siva Suthan, M. Anwin Kushal
Author: C. Ebenezer Durai
Paper ID: V5I2-1261
Paper Status: published
Published: March 14, 2019
