Volume 8 | Issue 12 |

 Abstract

Since they supply the expert information with the expected incorporated and accommodated information from changed and dissipated information sources, ETL strategies are the spine part of an information distribution center. In any case, the development of an ETL interaction, particularly the plan stage, is as yet viewed as a tedious undertaking. This is expected fundamentally to the reality thatETL activities are regularly evolved in light of a particular innovation from the beginning. As a consequence, it's challenging to interchange and reuse techniques and best practises across projects usingvarious technologies We have done our best to the best of our abilities. There has been no attempt to coordinate the development of ETL processes by presenting a standard and integrated development plan. To address this issue, this article introduces a paradigm for model-driven ETL process creation. Our framework has two advantages: (i) utilization of merchant autonomous models for a uniform plan of ETL processes in light of the expressive and notable BPMN, and (ii) A substantial stage might be made via naturally changing over these models into the seller explicit code expected to do an ETL methodology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ETL, BPMN, Design, Model-Driven Engineering.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the emergence of coronavirus in December 2019, a new frightening chapter began in the world as the virus shook the world. India was no exception to this, no region of India remained untouched by this virus, it affected all the 8 union territories and 28 states of India. As a safety measure, the lockdown was imposed by the government and all this development not only brought a change in the lifestyle of the common people but also had an effect on the socio-economic condition of every citizen. Its impact was evident in various sectors such as political, religious, educational, health, psychological, etc. As a result of the economic instability, market-induced volatility has further widened the inequality gap. sharp rise in unemployment, cost cutting, stress on supply chains, collapse of tourism and hospitality industry, reduced consumer activity along with market, plunge in fuel consumption led to decrease in government income. All these impacts were experienced by Hindi Print Media of Himachal Pradesh. This paper mainly deals with the three leading Hindi newspapers of Himachal Pradesh namely Amar Ujala, Punjab Kesari and Dainik Jagran and analyzed their market share before lockdown and post lockdown i.e., print order during the pandemic. The paper is based on secondary data. It's an attempt towards highlighting the changing outlook of Hindi Print Media under the impact of COVID 19 with special reference to the Himachal Pradesh.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID, Hindi Print media, Lockdown.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ಮೈಸೂರು ಮಲ್ಲಿಗೆ ಕವನ ಸಂಕಲನದ ಮೂಲಕ ಜನಪ್ರಿಯತೆಯನ್ನು ಗಳಿಸಿರುವ ಕವಿ ಕೆ.ಎಸ್. ನರಸಿಂಹ ಸ್ವಾಮಿ ಅವರ ವಿಶಿಷ್ಟವಾದ ಕವನಗಳಲ್ಲಿ 'ತೆರೆದ ಬಾಗಿಲು 'ಒಂದಾಗಿದೆ. ಇದು ನವ್ಯ ಪರಂಪರೆಯ ಕವಿತೆಯಾಗಿದೆ. ಆಧುನಿಕ ಬದುಕಿನ ಅವಘಡ ,ಅಸ್ತವ್ಯಸ್ತತೆ; ದುರಂತಗಳನ್ನು ಅತ್ಯಂತ ಪರಿಣಾಮಕಾರಿಯಾಗಿ ಕಟ್ಟಿಕೊಡುವ ಈ ಕವನ ,ಅಸಂಬದ್ಧತನ ಅಥವಾ ವರ್ತನೆ ಸ್ಥಿತಿ ತೀರಾ ವೈಯಕ್ತಿಕವಾದ ಲೌಕಿಕಾಸಕ್ತಿ ಬದುಕಿನ ಬಗೆಗಿನ ಅನನ್ಯ ನಿರಾಸಕ್ತಿ , ತನ್ನನ್ನೇ ಗುರುತಿಸಿಕೊಳ್ಳದ ಅವ್ಯಕ್ತ ಸ್ಥಿತಿ , ತನ್ನತನದ ಅಸ್ತಿತ್ವ ಹೀನತೆ ನಲ್ಲಿಯೇ ನೀರೇ ಗಂಗಾ ಸ್ನಾನ ವಾದ ಅವಗಡ ಸ್ಥಿತಿ ,ಸಾವಿನ ಭೀತಿಯ ಹಿನ್ನೆಲೆಯಲ್ಲಿ ಬೆನ್ನು ಬಿಡದೆ ಮೂಢನಂಬಿಕೆ ಹಾಗೂ ವ್ಯರ್ಥ ಸಾಂಪ್ರದಾಯಿಕ ಆಚರಣೆ ಹೀಗೆ ಹನುಮನ ಬಾಲದಂತೆ ಬೆಳೆಯುವ, ಆಧುನಿಕತೆಯ ಅಥವಾ ನವ ನಾಗರಿಕತೆಯ ದುರಂತಗಳ ಚಿತ್ರಣವನ್ನು ಈ ಕವನದಲ್ಲಿ ಕಾಣಬಹುದು.

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 Keywords

ತೆರೆದ ಬಾಗಿಲು : ಒಂದು ವಿವೇಚನೆ

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

SWAMI DAYANAND SARSWATI KE VICHARO KA VISHLESHNPARK ADHYAYAN

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Creative Commons Attribution 4.0 and The Open Definition

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SWAMI DAYANAND SARSWATI KE VICHARO KA VISHLESHNPARK ADHYAYAN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Maturity, Higher Secondary School Students, Gender, Joint Family, Nuclear Family, Sibling

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Development, growth and progress of the country are most important factors. India is known as one of the strong country at global who compete in International level in all fields, India has optimum, strong and useful environment, optimum human as well as natural resources. India's small and medium-sized industries can play a big role in making the country take the next big leap in manufacturing. India should be more focused towards novelty and innovation for these sectors. The government has to chart out plans to give special sops and privileges to these sectors. India should also be ready to tackle elements that adversely affect competitiveness of manufacturing. India should constantly keep up its strength so as to outpace China's supremacy in the manufacturing sector.

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 Keywords

Digital India and Make in India

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Business, Logistic, Model, process, middleware, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Along with the growing issues regarding global warming and reduction of reserves of fossil fuels, researchers all around the world are attempting to look for alternate resourced required for saving the planet for the coming future. For our requirement more and more plants are set up using the wind, hydro and solar generation of power. It is known that wind power generation owns its can provide power to some huge extent however this resource is also not predictable in terms of its presence in the atmosphere. In a similar manner power through sun cannot be dependent on, it can be present for whole day but can atmospheric conditions be never reliable and unexpected clouds, rains, trees can be factors of limitations related to such power generation. Most basic signs of climate especially in sun and wind systems are due to their irregular natures of appearance which makes there a very unreliable source of power. Although using the two resources in combination, by using algorithms such as MPPT: "Maximum Power Point Tracking", an effective transfer of power can be done to enhance the reliability and effectiveness of the power generation system.

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 Keywords

Solar Power, Wind Power, MPPT

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Creative Commons Attribution 4.0 and The Open Definition

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The present study is an attempt to highlight the economics of potato cultivation in village Sherpur of district Shimla of Himachal Pradesh. The study is primarily based on primary data but for physical, and socio-economic aspects of the village, secondary data are also utilized. The primary data regarding various agricultural operations or activities like land preparation, sowing, irrigation, manure application (farm yard manure), weeding, pesticide spray, harvesting, transportation, and marketing of the produce under potato cultivation as well as the cost involved in each activity is collected from the farmers of this village through field survey conducted in 2019 under which structured interview method was adopted. A comparative study regarding the cost-benefit analysis for potato cultivation per acre of land is exercised in the case of self/family members involved in potato cultivation in this village which highlights that the net return is 3.87 times more than the cost of cultivation of potato. The net return can be increased if the farmer adopts natural farming instead of doing conventional farming.

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 Keywords

Potato, conventional farming, manure application, cash crop, cost-benefit analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main aim of this research is to discuss how machine learning methods may be used to anticipate subterranean cavern displacement. This research presents a series of new machine learning-based deliverability prediction models for subterranean caves. One of the most dangerous occurrences that may lead to the collapse of buildings is the displacement of rock mass in tunnels and subterranean constructions. Underground engineering technologies are becoming more commonplace across the globe. Complex and unpredictable geology and geomechanics create obstacles and need novel strategies in underground geoengineering [1]. In addition to the massive overburden and extreme temperatures, these issues need complex engineering design. Oil engineering, nuclear waste disposal, energy storage and CO2 storage are only a few examples of additional environmental issues. Geotechnical data is frequently produced in enormous quantities during big projects. Using this data to make better decisions and enhance design and construction processes [1] may be very beneficial. As a result, consistent methods for gathering, organizing, and displaying collected data must be established. It is possible to examine this large data using machine learning algorithms. With regard to cavern displacement predictions, the research shows how machine learning approaches may be used.

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 Keywords

Machine learning, artificial neural network (ANN), support vector machine (SVM), Underground Caverns, rock caverns, underground space.

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Creative Commons Attribution 4.0 and The Open Definition