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
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
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
Robot Automation Framework for Implementing and Developing the Requirements of Network Elements
Telecommunication industry is growing exponentially with the network elements and its operation. As a result, managing network elements and its behaviors has become a challenging task and even time consuming. Integrating and verifying the network elements manually requires more time and human efforts to perform, therefore to increase the efficiency and decrease the efforts, time and errors, robot automation can be used. In this paper, the process, usage and importance of robot automation for network elements is explained. This keyword driven framework is highly extensible with reusable keywords, simple library packages are available in both python and java. In the output of the process, a detailed report and log files are generated in XML format for easy understanding and analysis. These features of robot framework help in getting quick and efficient result. The primary integration process is performed in the NetAct application that can be used for monitoring, analyzing and managing the network element operation and functionality verifications in all the phases. In this context, summary of robot automation framework utilization for integrating and verifying different types of network elements is discussed.
Published by: Yashaswini H. R., Poornima Kulkarni
Author: Yashaswini H. R.
Paper ID: V7I3-1475
Paper Status: published
Published: May 25, 2021
Hardware Implementation of Obstacle Detection for Autonomous Vehicle
this paper proposes a design variant of obstacle avoidance and voice control for the automobile’s car unit. The future advancement in this technology will help us in for the handicapped ones who cannot drive the vehicle on their own, transportation purposes, hazardous environment places where human interaction might be impossible and so on. Also, the use of sensors will provide greater safety from sudden hits. A Bluetooth module is used to create a communication link between the car and human voice commands via Android Application. The RF transmitter of the module can take human voice commands through the application which will then be converted into encoded digital data up to an adequate range of 100 meters from the robot. The receiver of the module decodes the input data before feeding it to the microcontroller to drive DC motors via motor driver L298D for necessary movements. An Arduino UNO which is the brain of our system is programmed to read voice commands and respond accordingly. Obstacle detection can be done by ultrasonic sensors interfaced with the Arduino UNO. Considering this feature, in the future it might prove a milestone in vehicle automation. Further the project can be developed using the Internet of Things, Artificial Intelligence technology where a user can control the car from any corner of the world.
Published by: Abhishek Bhikule, Shubham Mankame, Sanika Khot, Yogiraj Nhawkar, Shrikant Baste
Author: Abhishek Bhikule
Paper ID: V7I3-1473
Paper Status: published
Published: May 25, 2021
A study on Cloud Benchmarking
Sharing of files is a common functionality in cloud storage systems, which enable many users to concurrently use files in shared folders or workspaces. Current cloud storage systems, on the other hand, can deliver unexpected results to end users in the face of concurrency. Our research's aim is to identify the findings provided by existing cloud storage systems in concurrent environments and make these results publicly available, which could help both cloud storage end-users and service providers. Because of the large number of cloud computing providers and the various services each provides, cloud users need benchmark data that addresses the unique characteristics of the cloud computing world, such as dynamic scaling. Cloud Cmp, Cloud Stone, Hi Bench, YCSB, and Cloud Suite are five common tools that present workloads and/or methods for quantitatively comparing cloud computing offerings.
Published by: Suman M. J., Sharadadevi K.
Author: Suman M. J.
Paper ID: V7I3-1467
Paper Status: published
Published: May 25, 2021
