Alumni Interaction System
The main aim of the project is to build an interaction between alumni, admin and the students .A system that will be able to manage alumni data of a college and provide easy access to the same. The alumni will also be interested to maintain relations with their institutions. Alumni can communicate to the students regarding job opportunities and the students can share the department technology activities to the alumni. The alumni and the student can communicate only through the admin permission. A system that will be able to manage alumni data of a college and provide easy access to the system. Final year students will be initially given a student login ID. Access to the system can help them in building connections to their projects or for placements. The system will automatically list all Alumni information their graduation and their status will be transferred from the student module to the alumni module.
Published by: Arpit Jain, Abhishek Gupta
Author: Arpit Jain
Paper ID: V4I2-1366
Paper Status: published
Published: March 23, 2018
A Movie Recommendation System using Neural Networks
A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the "rating" or "preference" that a user would give to an item in use. There has been a lot of theorizing among the members of the artificial intelligence community concerning the way AI can help with the problem of successful information search in the reservoir of knowledge available on the Internet. Nowadays, deep learning’s advances have gained significant attention in the field of speech recognition, image processing, and natural language processing. Meanwhile, several recent studies have shown the utility of deep learning in the area of recommendation systems and information retrieval as well. Recommendation systems provide a solution to this problem by giving individualized recommendations. Content-based and Collaborative Filtering is usually applied to predict these recommendations. A combination of the results of these two techniques is used in this work in order to construct a system that provides more precise recommendations concerning movies. Also, deep learning methods are being increasingly used by popular media sites. The Movie Lens data set was used to test the recommendation system.
Published by: Ajay Kaushik, Shubham Gupta, Manan Bhatia
Author: Ajay Kaushik
Paper ID: V4I2-1373
Paper Status: published
Published: March 23, 2018
Impact of Next Generation Transportation Infrastructure Economy in Delhi-NCR
In the proposed study, Infrastructure of Delhi-NCR with transportation domain is considered. For intelligent transportation, infrastructure is required. Infrastructure is the foundation of the Indian economy and a vital contribution to each economic output. Enhancing mobility and decreasing traffic congestion are some of the biggest challenges facing smart cities today. Traffic congestion impacts the day to day lives of commuters, and additionally businesses and visitors to the city. To address this difficulty National Capital Region Planning Board organizers are hoping to smart transport solutions to decrease clog and additionally to advance the utilization of city open transport. Intelligent Transportation System usage for NCR will basically offer an exceptionally fit and mechanized travel administration stage to redesign benefit conveyance models and operational proficiency. This study will center around economics as a Tool for Transportation decision-making, Civil Infrastructure Development, advantages of Rapid Rails to associate Metro Rails, Economic Impact of Relief Routes, Costs and Benefits of Transportation, Pricing of Transportation Services, Engineering Economic Analysis, Bridges on Runnels, Impact of Tunnel streets in the foundation of Delhi-NCR to ease activity.
Published by: Samreen Nasir
Author: Samreen Nasir
Paper ID: V4I2-1387
Paper Status: published
Published: March 23, 2018
Automated Reminder System for Cervical Cancer Patient
Cervical cancer is one of the leading cancer killers among women all over the world. Cervical cancer is the most common female cancer in developing countries, a woman dies of cervical cancer every two minutes. Its contribution to cancer burden is significant across all cultures and economies. However, in India, this disease is still killing up to 8,000 women annually. Fortunately, this cancer is preventable by screening for premalignant lesions but this is rarely provided and hardly utilized. So, to make them take screening test daily reminder must be sent and aware them about cervical cancer. The aim of this process is to assess the knowledge of cervical cancer screening among India women. An automated reminder is designed to send an automated message to the patient and remind them about the test and encourage them to take the regular test. These result in use of taking regular check-up and get knowledge about cervical cancer. These help to reduce the painful death of the women and get aware of the symptoms and causes of cervical cancer.
Published by: Pooja Tetu, Tejashree Shendre, Vaishnavi Giri, Utkarsha Ghyar
Author: Pooja Tetu
Paper ID: V4I2-1355
Paper Status: published
Published: March 23, 2018
Design and Analysis of IoT based LPG Cylinder Leakage and Weight Detection System
The main purpose of this paper is to portray a method of showing the level of gas in a gas cylinder so that it gives us an idea of the level of gas remaining in a cylinder. It can be used in homes as well as industries where gas cylinders are big and are almost impossible to detect the level of the gas. It enables the user to book a gas right on time so that user doesn’t have to worry about an empty cylinder. Furthermore, sometimes the leakage in the gas cylinder cannot be detected by human nose and requires more sophisticated equipment to detect these gases in order to avoid any mishap, in this project whenever Gas leakage is detected, there is a display on the LCD(3) along with a message sent through GSM(2) modules to our GSM(2) module alarming the user about this Leakage so that some action can be taken. It avoids accidents caused by GAS Leakage in cylinders. Furthermore, this project also includes Analysis of the gas used in every month, and will indicate which month has a high gas usage and similarly would also indicate months of lower gas consumption, it will help companies who manufacture gas cylinders for both domestic as well as Industrial purpose.
Published by: Manisha Varma, Shreyanka Manekar, Shraddha Paithankar, Amruta Amle, Yogesh Narekar
Author: Manisha Varma
Paper ID: V4I2-1316
Paper Status: published
Published: March 22, 2018
5G Technology: Future of Mobile Communication Outlook
In the future outlook of mobile communication technology, the various requirements are to be fulfilled as main objective which are high data rate, low latency, increased capacity and better Quality of Service (QoS). This paper presents a brief survey of 5th Generation (5G) network architecture and arising technologies to enhance the overall improvement in existing mobile technology. The backhaul concept is introduced to make the connection of dense small cells with core network.
Published by: Rashmi Verma, R. L. Sharma
Author: Rashmi Verma
Paper ID: V4I2-1249
Paper Status: published
Published: March 22, 2018
