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Mobile cloud computing – Literature review

The high-speed development and renaissance in mobile devices have produced a fast-growing market. The remarkable progress made within the mobile applications allows the users to accomplish most of their tasks such as shopping, social networking, information gathering, and business through their mobile devices. However, there are some limitations in the mobile environment, which reduce the utmost benefits of using mobile devices. These devices are not as powerful as personal computers and lack high-level computational storage capabilities. Therefore, mobile cloud computing has been introduced as a possible enhancement for mobile services. Cloud computing is integrated into the mobile environment in order to beat the restrictions of mobile devices. In the paper, we describe the privacy and security issues faced by the Mobile Cloud Computing (MCC) technology. The issue faced in integrating green computing technology is discussed in this research paper.

Published by: Jai Mehta, Vishant Mehta, Onkar Sanap, Rachit Mehta, Viraj Joshi

Author: Jai Mehta

Paper ID: V7I3-1269

Paper Status: published

Published: May 26, 2021

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Research Paper

Opinion Mining for restaurant reviews using Naive Bayes Algorithm

A wealth of unstructured opinion data exists online. Every day, millions of consumers add to this data when they share their opinion on a range of things, including feedback about their experiences with products and services. This feedback is volunteered, it contains the raw, unsolicited views and opinions about a brand, individual or event. Opinion Mining finds out the drivers behind the sentiment. By understanding what is driving the sentiment and how one is performing based on Net Sentiment, opinion data can be used to expose critical areas of strength and weakness. This data allows decision-makers in business, from customer experience and marketing to risk and compliance teams, to make the targeted, strategic overhauls needed to reinvigorate profitability or reclaim slipping market share. It is practically impossible to analyze all this reviews manually, so and automated aspect-based opinion mining approach is used. This paper focuses on aspect level, shows a comparative study amongst existing algorithm and proposes a new syntactic based approach which uses dictionary, aggregate score for opinion words. The dataset used was for restaurant reviews. The proposed method achieved a total accuracy of 87.06%.

Published by: Rutik Pravin Ambre, Abhishek Sand

Author: Rutik Pravin Ambre

Paper ID: V7I3-1464

Paper Status: published

Published: May 25, 2021

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Research Paper

Fin-Tech in India

Fintech is financial technology; FinTech is about the introduction of recent technologies into the application and financial services of digital technology from the financial sector. The research topics are studied theoretically. the data has collected by KPMG, PwS, SSRN and RBI. The paper provides the historic evolution of FinTech and size of Market and growth. additionally, the advantages and disadvantages of FinTech, FinTech hub, and FinTech regulation of India.

Published by: Shreyas Barge

Author: Shreyas Barge

Paper ID: V7I3-1474

Paper Status: published

Published: May 25, 2021

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Research Paper

College Enquiry Chat-Bot

In colleges the existing system it is difficult to get proper information to users due to lack of communication.In this pandemic we have using lots of technology for learning the system of colleges still have to improve our proposed system “College Enquiry chat-Bot” is an agent like a real person is talking with users nowadays many service websites using chatbots for solving queries of users. “College Enquiry Chatbot” is a web based application where students can ask questions through text or voice and agent replies from stored databases.The system is very easy to operate for students and also for college staff.

Published by: Asmika Selvarajan Pillay, Bhagyeshree Meshram, Dhammajyoti Lale, Bhumika Patankar, Diksha Narnaware, Nitesh Godichor

Author: Asmika Selvarajan Pillay

Paper ID: V7I3-1471

Paper Status: published

Published: May 25, 2021

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Research Paper

Green cloud computing

Cloud computing is emerging technology as a critical information communication technology to heavily impact our day-to-day life in the future. As computing becomes increasingly pervasive, the energy consumption attributable to computing is climbing that marked the foundation of Green Cloud Computing. Green Cloud Computing', the word green with cloud computing denotes that this is environment-friendly. The concept is to reduce energy consumption and reduce the waste disposed to the environment. To reduce energy consumption, cloud computing is exploring energy-efficient ways of working. A Green Cloud System responds to peak utilization periods and adjusts the availability of resources based on expanding or shrinking the cloud as needed.

Published by: Kumar Kishan Chandra

Author: Kumar Kishan Chandra

Paper ID: V7I3-1449

Paper Status: published

Published: May 25, 2021

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Research Paper

Obstacle detection in automated driving using stereo vision images

Automated driving systems guarantee a protected, agreeable and effective driving experience. The effectiveness and uses in the business of self-driving/driverless/automated/robotized vehicles will reduce human work. Quite possibly the main highlights for any keen ground vehicle depend on how it is reliable and feasible to get the data about the environment. This paper surveys the critical innovation of a self-driving vehicle. In this, there are four key advancements in self-driving vehicles, to be specific, path planning, environmental perception for vehicle control, are tended to and overviewed. By getting the environmental factors precisely and rapidly is perhaps the most fundamental and testing undertakings for the independent framework. Obstacle avoidance information is gotten from the highly resolute cameras and profoundly exact sensors. The most widely recognized detecting frameworks, for example, RADAR and LIDAR are utilized for insight on self-driving vehicles today give a full 360◦ view to the vehicle making it more educated about the environmental factors than a human driver. In this, a strategy to utilize two 360◦ cameras to see obstacles all around the self-sufficient vehicle. By utilizing vertical direction, instead of the horizontal direction and camera displacement. The Key thought for obstacle identification is to focus on the points in the 3D medium dependent on height, width, and slope comparative with neighboring points. The obstacle points that are mapped to the planes help in planning the motion of the vehicle. And also describes the robot operating system middleware and its importance.

Published by: Apoorva K. R., Arjun Bhat

Author: Apoorva K. R.

Paper ID: V7I3-1477

Paper Status: published

Published: May 25, 2021

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