Manuscripts

Recent Papers

Research Paper

UNO-Phobia vs. Islam-Phobia

Equal & Opposite is the Apriori Framework of this Manifested Nature.

Published by: Jamir Ahmed Choudhury

Author: Jamir Ahmed Choudhury

Paper ID: V6I4-1355

Paper Status: published

Published: August 14, 2020

Full Details
Research Paper

Smart grid demand side management using hybrid combination of bat and firefly algorithm

A smart grid is the advanced power grid, and electricity demand is managed and controlled by it. The electricity demand is increased during the peak hours of the day. Thus, to fulfill the electricity demand either generate the extra electricity in the peak hours that increase the cost or reduce the load in the peak hours. The load during peak hours is reduced by adopting a demand-side management technique. These techniques reduce the generation cost, and the performance of the smart grid is improved. This paper provides proposed a new/latest approach known as a hybrid of BAT, and Firefly optimization is used to control the switching time of devices so that the overall load can be minimized. The experimental results are performed for different devices (3 and 5). The simulation results show that the proposed algorithm reduces the cost as compared to the original cost. In the last, we have compared the performance of the proposed algorithm over the existing Particle Swarm Optimization (PSO) algorithm and found that 47.02% and 36.48% cost reduction for 3 and 5 devices, respectively.

Published by: Kirtanpal Singh, Puneet Jain

Author: Kirtanpal Singh

Paper ID: V6I4-1377

Paper Status: published

Published: August 13, 2020

Full Details
Review Paper

Water demand prediction using Machine Learning

Water is one of the critical resource for sustainable economic and social development of a country. To maintain health & hygiene, energy & agricultural products, and the environment management water plays a key role. Water demand prediction is very much essential to analyze the requirement which indicates emergency state for water management decisions. The explores usage of water for dairy plants to understand the spatial and well as temporal patterns for future water requirements, to optimize the water demand estimation. It uses concept of Machine learning algorithms to compare and achieve an effective and reliable system for water prediction.

Published by: Disha A. P., Lahari T. K., G. Jananisri, Soniya R.

Author: Disha A. P.

Paper ID: V6I4-1375

Paper Status: published

Published: August 13, 2020

Full Details
Research Paper

A study on the effect of CBR value on the thickness of the pavement

Pavements are required for the smooth, safe, and systematic passage of traffic. Pavements are generally classified as flexible and rigid pavements. Flexible pavements are those which have low flexural strength and are flexible in their structural action under loads. Rigid pavements are those which possess noteworthy flexural strength and flexural rigidity.

Published by: K. Shreyas, Yathish G. D., Yashaswini G., Pavithra R., Shilpa Patil

Author: K. Shreyas

Paper ID: V6I4-1328

Paper Status: accepted

Submitted: August 13, 2020

Full Details Track Status
Research Paper

Approach to help choose right data warehousing tool for an enterprise

Data warehousing tool market space is currently filled with many tools each having its unique pros and cons making it very difficult for enterprises to make the choice of tool. The breadth of data warehousing has also moved beyond data integration, ETL, and presently encompasses data integration, data quality, master data management, metadata management, reference data management, big data Management. Enterprises expect the data warehouse tool providers to meet the requirements of all of these functionalities. This paper provides a point model approach using key performance indicators (KPI), Weightage and Scores to help choose the right data warehousing tool for enterprises.

Published by: Madhusudhan Reddy Sureddy, Prathyusha Yallamula

Author: Madhusudhan Reddy Sureddy

Paper ID: V6I4-1372

Paper Status: published

Published: August 13, 2020

Full Details
Research Paper

Candidate talent assessment through recommender systems using machine learning techniques

The world is moving towards complete automation where most of the systems are being automated, one of the examples of this trend is the automation of IT industry. The candidate recommender system helps in the selection of candidates for a company. The candidate recommender system looks into the various profile of the candidates chooses a Candidate whose profiles best matches that of the company and the job.

Published by: Swathi V., Suraksha S. Tasgaonkar, Shubhashri T. V., Prarthana T. V.

Author: Swathi V.

Paper ID: V6I4-1369

Paper Status: published

Published: August 13, 2020

Full Details