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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

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Research Paper

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

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Research Paper

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

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Research Paper

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

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Review Paper

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

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Review Paper

Privacy-Preserving Multi Keyword Search in Cloud Computing

The current study is intended to present an in-depth analysis of literature relative to privacy preserving multi-keyword search over encrypted cloud data. The multi-keyword ranked search that the study proposes has the capacity to post the exact matching documents only. This paper essentially seeks to fill the perceived research gaps from previous studies in multi-keyword search in cloud computing. To be precise, the current paper considers three peer-reviewed research articles concerning multi-keyword search in cloud computing. As such, it analyses the methods, approaches and techniques that have been proposed in each of the three studies while presenting viewing these aspects in a critical limelight. The central problem focused by each of the three selected articles is keyword privacy. This draws from the fact that despite the capacity of perceived approaches to generate cryptic trapdoors which conceals keywords, there is a possibility that cloud service providers through statistical analysis can estimate the keywords. The second concern that has been discussed in these research articles is trapdoor un-linkability. This arises mostly from deterministic trapdoor generation functions which gives the cloud service provider an easy avenue of accumulating keyword frequency. Lastly, surveyed studies also reveal concerns relating to access patterns whereby although a many of encryption techniques can be deployed to conceal the access pattern, there remains efficiency concerns with such encryption.

Published by: Mansour Alshaikhsaleh, Prof. Mohamed Zohdy

Author: Mansour Alshaikhsaleh

Paper ID: V4I2-1307

Paper Status: published

Published: March 22, 2018

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