Encouragement of Indian banks on female entrepreneurship
Gone are those days when women were considered as no match for all those powerful men in this world. The new generation of women across the world have overcome all negative notions and have proved themselves beyond doubt in all spheres of life including the most intricate and cumbersome world of entrepreneurship. Women have come a long way from just being a homemaker. This article deals with challenges and concerns faced by women and how the Indian banks trying to encourage and play their role to Develop Women Entrepreneurs in India.
Published by: Ranjitha Meesala
Author: Ranjitha Meesala
Paper ID: V5I3-1573
Paper Status: published
Published: May 23, 2019
Natural language to SQL
In this research, an intelligent system is designed for the users to access the database using natural language. It accepts natural language input and then converts it into an SQL query. Using query language for dealing with databases has always been a professional and complex problem. The system currently handles single sentence natural language inputs and concentrates on MySQL database system. The system accommodates aggregate functions, multiple conditions in WHERE clause, join operations, advanced clauses like ORDER BY, GROUP BY and HAVING. The natural language statement goes through various stages of Natural Language Processing like morphological, lexical, syntactic and semantic analysis resulting in SQL query formation. Intelligent Interface is the need of database applications to enhance efficient interaction between user and DBMS. The research focuses on making the system more dynamic.Improvements have been introduced to the system by incorporating preprocessing of text, named entity recognition, building hierarchical relations, semantic similarity and negation handling using dependency graphs.
Published by: Ankita Makker, Gaurav Nayak
Author: Ankita Makker
Paper ID: V5I3-1525
Paper Status: published
Published: May 23, 2019
Alternative approach to women safety using IoT
The raising questions on the security of women and children in our country is an obstacle that we need to overcome towards a safer India for its citizens. In such scenarios, women and children feel very helpless. In reference to the unfortunate set of events which opened the eyes of the nation towards the lack an immediate need for the safety of women in the country, there have been multiple efforts to implement different techniques to protect and thereby, assist the victims in such situations. Hence, there must be a system which can protect them with the least amount of complexity and involvement of the individual. The following project aims at improving the existing system by implementing automatic responses instead of the conventional manual method as, in such situations, the victim hardly has any time to provide a manual pre-designed operation. The device requires the following elements; Arduino UNO, GSM, Heart Beat Sensor, Temperature and Humidity sensor along with IOT. In critical situations, the victims have an increased heart rate along with an abrupt increase in body temperature and humidity (body sweat). Hence, the sensors can be used to monitor the following factors until it breaches a predefined value. Upon breaking the set limits, the GSM module will send a pre-defined message to the police and/or family member along with the GPS location which can be coupled with third-party apps like Google Maps. However, for improved functionality, the criteria for emergency contact can be a complex combination of body temperature, humidity and heart beat of the user. Such method is very helpful for women and children as the device does not require manual operation.
Published by: Zeeshan Shaikh
Author: Zeeshan Shaikh
Paper ID: V5I3-1572
Paper Status: published
Published: May 23, 2019
Smart fire detection system for building using image processing
Fire detection is the main objective of this project besides surveillance. The aim of the project is too early detection of fire apart from preventive measures to reduce the losses due to fire. The project mainly is based on image processing and Controllers serial communication. In this project, at the user end, the fire images will be feeder in the form of video frames. These images will be further processed by using the software, MATLAB. The proposed system uses RGB and CMY color space. The advantage of using CMY color space is that it can separate the luminance from the chrominance more effectively than RGB color space. Along with this smoke, motion, area detection is also performed using its color characteristics. The proposed system consists of hardware such as Controller, Camera, LED, and Buzzer. There is a camera for surveillance. This camera will give a real-time video output to the user on the laptop or computer via a small GUI-graphic user interface which is to be built in MATLAB. Thus the fire will be detected using this model. In this project, we include some condition regarding fire i.e. small, medium, and high fire with or without the person. If the fire is without person then automatic message sends to fire brigades. And if the fire is med and high with human means any person surrounded by fire or trapped in a fire then automatically message send to fire brigades and Ambulance using Wi-Fi modules.
Published by: Akash Vitthal Thorat, Suyog Shah, Pavan Rajesh Sharma, Baliram Baburao Suryawanshi
Author: Akash Vitthal Thorat
Paper ID: V5I3-1510
Paper Status: published
Published: May 23, 2019
Clustering on uncertain data based on probability distribution similarity using Kullback-Leibler divergence
Cluster analysis is one in all the necessary knowledge analysis strategies and could be a terribly advanced task. it's the art of a sleuthing cluster of comparable objects in massive data sets while not requiring such teams by suggests that options or knowledge information bunch on unsure knowledge could be the toughest task in each modeling similarity between uncertain data objects. The foremost of the previous technique for a bunch unsure knowledge extends partitioning clustering algorithms and Density-based mostly clustering algorithms. These strategies are supported by the geometric distance between two unsure knowledge objects. Such technique unable to handle unsure objects, that are cannot distinguishable by victimization geometric characteristics and Distribution associated with object itself isn't thought-about. likelihood distribution could be the most vital characteristic of the unsure object isn't taking under consideration throughout measurement the similarity between 2 uncertain objects. The very fashionable technique Kullback-Leibler divergence won't to measures the distribution similarity between two unsure knowledge objects. Integrates the effectiveness of KL divergence into each partition and density based mostly bunch algorithms to properly cluster unsure knowledge. Calculation of KL-Divergence is extremely expensive to resolve this drawback by victimization well-liked technique kernel density estimation and use the quick Gauss remodel technique to any speed up the computation to decrease execution time
Published by: Vanashri Shrirang Shinde, C. M. Jadhav
Author: Vanashri Shrirang Shinde
Paper ID: V5I3-1581
Paper Status: published
Published: May 23, 2019
Productivity improvement in tyre manufacturing plant
This paper focuses on studying the production processes at Tyre manufacturing plant in order to understand the current productivity and suggesting the ways to improve the same. In any production processes, the major factors affecting the productivity are the non-value added activities and defects/non- conformities generated plus the rework done to eliminate the defects. DMAIC methodology is used to carry out the study. Initially, the current performance of the system is studied and measured using techniques like Time study and Process Capability. Next techniques like FMEA and Root Cause analysis are implemented to analyze and identify the sources of non-conformities. Improvement in the Loading and Unloading Efficiency is achieved from 58.835% to 100 %. Since 4 seconds were saved for every batch which resulted in saving 940 seconds or 15.677 minutes per shift. This resulted in increasing the batch number from 235 to 245 batches per shift per mixer. Also, the 3M/4M condition is suggested to reduce the major defect from potentially occurring in both Tyre building and Tyre Curing department.
Published by: Kaushik Amonkar, Dr. Jayant K. Kittur
Author: Kaushik Amonkar
Paper ID: V5I3-1408
Paper Status: published
Published: May 23, 2019
