Odishi Music System: An Exclusive Musical Tradition of India
Peculiarities in the presentation of Odissi. The delivery style of Odissi Music: Of all the arts performing Art is of highest design and it is known when someone performs it before audience. The language originality and epical standard of music will be more as and when its recital style is developed and enchanting. Nice musical feeling is generated in our body when we hear a song being sung or an instrument being played. Then only we accept music. An artist enchants the audience through his concentrated tone. Therefore, epical Raga Sangeet is enriched by the beautiful language of artist and it is disciplined through the classical artists. As because the classical music is a loud tonic music, there are rules and regulations for its recital. The classical artists try their best to make the song hearty and touchy. Therefore the classical music will be more lively when it is disciplined and orderly.
Published by: Dr. Niladri Kalyan Das
Author: Dr. Niladri Kalyan Das
Paper ID: V8I2-1186
Paper Status: published
Published: March 21, 2022
Reliable communication using modified TCP over Wireless Network
Existing Transport Protocols like TCP is well-tuned to the traditional networks made up of wired links and fixed hosts. TCP provides reliable end-to-end delivery of packets between hosts in packet-switched computer communication networks. It provides reliability by retransmitting packets that are not delivered within a specific timeout interval. Because of the relatively low error rates on the wired network, TCP correctly manages the losses in a congested network. TCP reacts to packet losses by dropping the transmission window at the sender and initiating congestion control mechanisms like slow start that reduce the load on the network. TCP reacts to packet losses by dropping its window size and initiating congestion control or avoidance mechanisms in a network consisting of wireless links characterized by high bit-error rates, intermittent connectivity, and handoff-related losses. This is because it does not distinguish between transmission-related losses and losses due to congestion. Such a TCP reaction results in an avoidable reduction in the link bandwidth utilization and, consequently, significant degradation in performance in the form of poor throughput and high interactive delays. This paper presents some modifications to the existing TCP protocol. We have modified the TCP protocol to make it suitable for wireless communication environments. We have studied the performance of our modification in comparison to some other existing TCP protocols.
Published by: Subhasis Banerjee
Author: Subhasis Banerjee
Paper ID: V8I2-1193
Paper Status: published
Published: March 21, 2022
Digital Banking: Current trends and prospects in India
Today there is tremendous growth in the use of digital banking through mobile phones in India. The entire ecosystem for digital banking has been made possible by the initiative of the Government and has received a boost on account of the present Covid-19 Pandemic scenario. With the current pace of rapid ongoing technology intervention in the financial sector via digital banking activity one witness a very huge increase in the use of financial services via technology. This has been an eye-opener to all the commercial banking activity in the country to tap the huge potential of the unbanked market area that is available across India as well as the e-commerce space. It is conservatively estimated that about 60% of the Indian population has a mobile phone. With financial tools provided in the mobiles, a handheld bank is available in every corner of India covered by telecom services. Thanks to technology and digitization, various initiatives like Jan Dhan Yojana, Direct benefit transfers, RuPay card, account dormancy, Aadhar card, Unified payment interface, Demonetization, GST, New regulatory framework, New Payment Banks, Fintech, etc., we are witnessing an ongoing "digital financial inclusion" in the country. Thanks to the digital initiative, today in India the Financial inclusion concept has become very important and has touched all aspects of society. The consumer perception towards digital payment is an important element contributing to the success of digital banking. Whether the process of digital banking will sustain and become a standard practice for all payments across domains in India or is it only a passing fancy being adopted mainly by the younger generation is a question that needs to be examined. This research is directed to understand the development of digital banking in India as well as aimed at providing a glimpse of the user’s behavior in respect of the use of digital banking, the satisfaction level, and factors that affect its adoption.to understand the user perception and future intention. The research aimed at providing a glimpse of the user’s behavior in respect of the use of digital banking, the satisfaction level, and factors that affect its adoption. It has helped to identify the challenges in digital banking and predicts a successful future prospects for digital banking in India
Published by: Dr. Ramesh Raj Ayer, Karthik M.
Author: Dr. Ramesh Raj Ayer
Paper ID: V8I2-1178
Paper Status: published
Published: March 16, 2022
Artificial Intelligence based video games
Since Artificial Intelligence is primarily based on video games is usually specifically designed for every game. Video games A.I. Tools presently concentrate on permitting video games developers to quickly and with efficiency produce specific A.I. one issue with this approach is that it doesn’t with efficiency exploit the many similarities that exist between video games not only of a similar genre. however of the various genre too, leading to a problem to handle the various aspects of a fancy setting severally for every video game. Galvanized by the human ability to sight analogies between games and apply similar behavior on an abstract level. This paper recommends the associate degree approach of A.I. in Video games.
Published by: Rohit Singh Rawat, Fardeen Saifi, Jai Kumar Sharma, Vishawjyoti Rathi
Author: Rohit Singh Rawat
Paper ID: V8I2-1163
Paper Status: published
Published: March 16, 2022
Smart Garbage Bin
Garbage management is real trouble in society. The population and the garbage also are increasing proportionally. Many times, we see that the garbage bins are placed in public places are overflowing. The negligence of authorities and carelessness of the public create an unhygienic condition for the people, lead to health problems (some deadly diseases & human illness) and also create bad smell which causes damage to local ecosystems. Here we propose a smart garbage bin that can detect the level of garbage at various parts of the dustbin, level of garbage can be monitored via an app and sends message alert to respective authorities to collect that trash when it crosses a threshold level.
Published by: Debjit Ghorai, Shireen Samar, Chandan Hazra, Somraj Dutta, Dr. Sandhya Pattanayak
Author: Debjit Ghorai
Paper ID: V8I2-1173
Paper Status: published
Published: March 16, 2022
House price prediction using Machine Learning
The main purpose of the paper is to show the use of linear regression to estimate the house prices prediction in Hyderabad a city in Telangana state India. Nowadays, the home is a basic amenity for most human beings. The biggest dream of all middle-class people is to have their own home. But today, the prices of plots, flats, and homes have become so high that the general public could not afford them. On the coin second side, the sellers are unable to find genuine buyers and the prediction of house prices is a nightmare for middle-class people, these all issues are created because land brokers and land brokers sell land or homes or land for more money and take more commission. The applications like magic bricks and no broker are providing data to the public, that data is to estimate the current prices of any locality. In this article, the prediction of house prices is taken as a problem. A home price forecasting method that collects past home prices and predicts the current price of the house. Machine learning techniques are used in the analysis to estimate the prices of the future. The Python language is used to analyze the problem and various regression models to ensure accurate predictions. The Home Price Index usually represents the sum of price fluctuations in residential real estate. However, to predict the price of a home, based on location, house type, size, year of construction, local amenities, and some other factors that may affect the supply and demand of the house. We need a more accurate method in this analysis we developed a more accurate method by applying various algorithms.
Published by: V. V. Sai Pavan Pindiproli, A. Abhishek Reddy
Author: V. V. Sai Pavan Pindiproli
Paper ID: V8I2-1176
Paper Status: withdrawn
Submitted: March 16, 2022
