Papers by Aman Jolly
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS)
International journal of health sciences, 2022
World energy consumption is quickly rising as a result of population and economic expansion, part... more World energy consumption is quickly rising as a result of population and economic expansion, particularly in big emerging economies, which will account for 90% of energy demand increase through 2035. Electric vehicles (EVs) are critical components of the electrification revolution aimed at reducing the carbon footprint. In this case study, a completely different side of EVs is explored where EVs can be used as an energy storage unit that has the potential to meet the demands of high energy needs in a variable electricity tariff setting. The study proposed in this work suggests that energy stored in EVs can also be used back in the smart grid at the time of high energy requirements which can significantly decrease the load shedding in both urban and rural areas. The simulation model presented on MATLAB shows a significant dip in energy demand after electricity stored in the Electric vehicles is used back in the smart grid. The study also proposed an ensemble model that is able to pre...
International Maritime Health, 2021
This article is available in open access under Creative Common Attribution-Non-Commercial-No Deri... more This article is available in open access under Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license, allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.
Industrial & Manufacturing Engineering eJournal, 2019
Continuous monitoring is both a process and technology used to analyze data associated with an op... more Continuous monitoring is both a process and technology used to analyze data associated with an operational environment. This is becoming a must now-a-days, as it provides an independence from an operative management. In this paper, we have carried out a survey of continuous monitoring and their application into various domains. We have prepared a tabular structure presenting its application into various domains.
Time-based data is efficiently managed by temporal database models whereas the conventional datab... more Time-based data is efficiently managed by temporal database models whereas the conventional database models are only capable of storing the present value, temporal database models not only stores historic values but also provide a roadmap to process future valid data. This paper briefly introduces some vital temporal database concepts. After that, various attribute time stamping models are examined in this domain. Finally, a comparative analysis of the various attribute timestamp models is prepared to discuss their strengths and weaknesses of their Implementations and provide useful and optimized results for solving the problems in the field of the temporal database model.
International Journal of Advanced Multidisciplinary Scientific Research, 2018
International Journal, 2011
In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants a... more In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants are applied have been given. Bee System was identified by Sato and Hagiwara in 1997 and the Bee Colony Optimization (BCO) was identified by Lucic and Teodorovic in 2001. BCO has emerged as a specialized class of Swarm Intelligence with bees as agents. It is an emerging field for researchers in the field of optimization problems because it provides immense problem solving scope for combinatorial and NP-hard problems. BCO is one of the benchmark systems portraying team work, collaborative work. BCO is a bottom-up approach of modeling where agents form global solution by optimizing the local solution.
Time based data is efficiently managed by temporal database models whereas the conventional datab... more Time based data is efficiently managed by temporal database models whereas the conventional database models are only capable of storing the present value, temporal database models not only stores historic values but also provide a roadmap to process future valid data. This paper briefly introduces some vital temporal database concepts. After that, various attribute time stamping models are examined in this domain. Finally, a comparative analysis of the various attribute timestamp models is prepared to discuss their strengths and weaknesses of their Implementations and provide useful and optimised results for solving the problems in the field of the temporal database model.
In today's world, face recognition has its application in many fields incorporating: Automotive s... more In today's world, face recognition has its application in many fields incorporating: Automotive sector, image enhancing, robotics, gaming & manufacturing.
Conference Presentations by Aman Jolly
In today's world, Data Analysis has become the integral part of development. it has its applicati... more In today's world, Data Analysis has become the integral part of development. it has its application in many fields incorporating: business, strategy planning, semantic web, robotics, Text Based Data e.g. Natural Language Processing & predictive modelling This paper demonstrates a Data analysing & interpreting system in JAVA environment using Jena API. The aim is to have automatized data analysis and interpretation using a given ontology with an intent to contribute to semantic web.
—In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants ... more —In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants are applied have been given. Bee System was identified by Sato and Hagiwara in 1997 and the Bee Colony Optimization (BCO) was identified by Lucic and Teodorovic in 2001. BCO has emerged as a specialized class of Swarm Intelligence with bees as agents. It is an emerging field for researchers in the field of optimization problems because it provides immense problem solving scope for combinatorial and NP-hard problems. BCO is one of the benchmark systems portraying team work, collaborative work. BCO is a bottom-up approach of modeling where agents form global solution by optimizing the local solution.
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Papers by Aman Jolly
Conference Presentations by Aman Jolly