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Implementation of wireless farming using IoT

As we know there are many issues surrounding our agriculture sector today lack of proper technology has caused a decline in production in the recent years. As in other countries, we see that there are many technological advancements that have helped in the increase in Production. IoT is one of the technologies that can make a very large impact on the agriculture sector. IoT stands for Internet of things it means that things will be connected to the internet and communicate with each other. In our system we have designed a system that can monitor parameters like temperature, humidity, Gas levels, Light detection, etc. all these parameters will be monitored locally, our system will be connected to the internet via a Wi-Fi module. All the data that has been collected by the system then will be uploaded to the server where it will be displayed using graphs and will be available for analysis.

Published by: Shradha Padmakar Rachcha, Atul Shrivastava

Author: Shradha Padmakar Rachcha

Paper ID: V5I3-1328

Paper Status: published

Published: May 16, 2019

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Research Paper

Optimized short text embedding for bilingual similarity using Probase and BabelNet

Most existing methodologies for text classification represent text as vectors of words, to be specific "bag-of-words." This content portrayal results in a high dimensionality of feature space and much of the time experiences surface jumbling. When it comes to short texts, these become even more serious because of their shortness and sparsity and with the bilingual similarity of text it gets more difficult. This paper proposes an approach to deal with both sparsity and computational complexity of bilingual similarity of short text. English short text is mapped with Probase and Hindi short text is mapped with BabelNet a knowledge base with coverage of words and concepts for 248 languages. A semantic network is created to manipulate the word to word and concept to concept correlation. Unlike the earlier approaches of embedding, words and concepts from both English and Hindi short texts are treated separately to yield word embedding (Word2Vec) and concept embedding (Concept2Vec) respectively. The similarity between bilingual short texts is computed using the skip-gram based word embedding and concept embedding. When evaluated with Pilot and STSS 131 short text benchmark datasets, the proposed optimized bilingual short text embedding gives better similarity score

Published by: Natasha J., Vijayarani J.

Author: Natasha J.

Paper ID: V5I3-1327

Paper Status: published

Published: May 16, 2019

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Research Paper

Shopping guide

The main objective of this project is Sales prediction,which is forecasting the future sales of a product.The attributes used as an input is weekly sales and dates of sale.This paper proposes a machine learning model to predict sales sales of a product.The machine learning technique used is linear regression.The successful prediction of sales will maximize the shopkeeper's gains.

Published by: Riya Mate, Aditi Patil, Isha Bansod, Neha Khare, P. V. Khandare

Author: Riya Mate

Paper ID: V5I3-1418

Paper Status: published

Published: May 16, 2019

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Thesis

An experimental study on high performance fibre reinforced concrete

Concrete is the most extensively used construction material in the world. The main ingredient of conventional concrete is Portland cement. However, the conventional concrete is of low compressive strength, split tensile strength, flexural strength. In current research is going to carry out the test on latex modified steel fiber reinforced concrete. According to various research papers, it has been found that steel fiber gives maximum strength as compare to other fiber. Hence, steel fiber(straight) of two different percentage i.e 0.5% and 1% with incorporation of styrene butadiene rubber(SBR) latex polymer in concrete modified with a percentage 10% of M25 grade, two different mix proportion is cast. The comparison between conventional concrete and HPFRC were found out by different test above. The various parameter s like load carrying capacity, ductility character, and stress-strain variation has to be analyzed.

Published by: Vikalp Singh Thakur, Swati Agrawal

Author: Vikalp Singh Thakur

Paper ID: V5I3-1428

Paper Status: published

Published: May 16, 2019

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Research Paper

Wearable asthma prediction device

The paper presents the design for a wearable device to predict asthma attacks for all age groups. The design is developed based on environmental conditions and patient attack history. The wearable device uses temperature/humidity, dust sensors that monitor the surrounding atmospheric conditions and incorporates a machine learning algorithm (decision trees) for prediction of an attack in advance. Concepts of the Internet of Things are used for cloud storage and wireless connectivity with a handheld device, such as a smartphone.

Published by: Savitha S., Sarjana O. S., M. S. Praveen Kumar, Dr. S Radha

Author: Savitha S.

Paper ID: V5I3-1368

Paper Status: published

Published: May 16, 2019

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Research Paper

Financial security among transgenders in India: An introduction to trans-inclusion model

The transgender community has been looked down upon for generations owing to societal stigma and plain ignorance. This has resulted in a community, brimming with potential, being grossly underutilized. If nudged in the right direction and given impetus in so far as education and equal opportunities are concerned, we would have a solid block in the working class of our country, proactively contributing to the economy and the society in general. The paper has explored the living conditions of transgenders in our country, the prejudice and bias they battle and the limited options they have for sustenance by means of the research. The objective is to understand the existent state of transgenders and inquire into ways of alleviating poverty among them by the encouragement of formal education, spreading awareness on diseases plaguing the community and sensitization of common public to enable equal job opportunities, thereby directly surging their self-esteem and productivity in the society

Published by: Alan Homes, Joseph John, Abhijith Sreevalsan

Author: Alan Homes

Paper ID: V5I3-1383

Paper Status: published

Published: May 16, 2019

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