Volume 10 | Issue 5

 Abstract

The monthly rainfall projections are compared to actual data after training and testing to confirm the model's accuracy. When particular parameters are employed, the model can accurately anticipate monthly rainfall data, according to the findings of this study. Rainfall prediction is one of the most studied areas since it affects the lives and property of many people. Previous rainfall prediction models used a complicated combination of mathematical instruments, but these were insufficient to reach a higher categorization rate. In this study, we propose novel ways for calculating monthly rainfall using Machine Learning Algorithms. Rainfall forecasts are based on quantitative information about the current state of the atmosphere. Complex input-to-output mappings can be learned using a variety of machine learning approaches. The dynamic structure of the atmosphere makes precise rainfall prediction difficult. To forecast future rainfall conditions, the variation in previous year's circumstances must be used. We supported the use of machine Learning Algorithms based on a variety of factors such as temperature, humidity, and wind. Because the suggested algorithm forecasts rainfall based on prior data for a specific geographic area, this prediction will be extremely accurate. When compared to standard rainfall prediction techniques, the model's performance is more accurate.

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 Keywords

Machine Learning, Linear Regression, Random Forest, Ridge Regression, Lasso Regression, Support Vector Machine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Mathematics Teachers, Interaction with students, Student related Activities, Secondary School level.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Fingerprint Identification, Automatic marking and storing of attendance, GSM module.

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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

Retrofitting, Compressive strength, Flexural strength, Basalt Fiber Reinforced Polymer (BFRP), Aramid Fiber Reinforced Polymer (AFRP), Compression Testing Machine (CTM), Universal testing machine (UTM)

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Creative Commons Attribution 4.0 and The Open Definition

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The main goal of the paper is to obtain quantitative describing the actuality of internet shopping in the case of the India in order to explain the development of internet shopping and its impact on consumer behavior. The paper build on the relevant literature and at the same time examines consumer behavior by questionnaires. Furthermore, the future development of internet shopping will be measured and deep comparison of consumer behavior between different countries. This paper support the research questions that including recent trends and various issues in internet shopping, and principle factors for consumer behavior. Also, the result of the study shows that internet consumer trust and perceived risk have strong impacts on their purchasing decisions. Consumer`s trust, privacy concerns, security concerns are the major factors for using internet for shopping, the trust on websites influence to the purchasing decision of any consumer. More specifically, the empirical result suggests how the E-commerce companies make marketing strategies according the research data and analyzing result.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-commerce, internet shopping, World Wide Web, consumer behavior, privacy and security, consumer trust.

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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

Artificial Intelligence, Virtual Manufacturing, Machine learning, Deep learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Humankind has met its basic need for food production through agriculture. Decades ago, farmers mostly grew food for their consumption or sale with others in the same village or neighborhood. They were mostly independent. However, in the present era, the manufacturing environment is changing significantly from self-sufficiency to commercialization. Scientific advances in crops, the use of fertilizers, pesticides, pesticides, and mechanization of agriculture have resulted in a significant increase in agricultural production and thus an increase in commodities and commodity surpluses. Advanced production is accompanied by increased urbanization, changes in incomes, consumer lifestyles and eating habits, and strengthening ties with external markets. Consumers today are not limited to rural areas where food is produced. In addition, as the demand for processed food or semi-finished products increases, the cost of agricultural products is required to rise. These changes require food commodities to move from producers to consumers in the form of value-added products. As one of the most important fields for human endurance. Farmers are people who support agriculture. Agriculture has proven disadvantageous to small farmers as there are agents who earn significantly more than farmers.

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 Keywords

Agricultural sector, Trading, Local market, weather forecasting, yield prediction, authentication, Middleman problem.

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 Abstract

Kaziranga National Park of Assam has witnessed a long successful conservation history for which the earlier game sanctuary of Kaziranga becomes Kaziranga National Park subsequently and further to the present high status of world heritage site and tiger reserve. Despite such tremendous success in conservation process, the park for its survival and thriving is, however, bound to fight against a number of challenges. Some challenges originate from the natural disaster caused by the perennial floods while some others are caused by human activities. In this academic work, a modest and sincere attempt has been made to examine various challenges/threats confronted by the park and the conservative strategies and measures adopted by the park management for addressing such challenges.

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 Keywords

: Kaziranga National Park, Challenges, Conservation practices, Park management, Flood.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To develop an AI based android app for society management system to make it more efficient , secure and enhanced workflow of society

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Android App, AI, Society, Management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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NEEDS ANALYSIS, TEACHING, LEARNING, UNDERGRADUATE, PROFESSIONAL DEVELOPMENT

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 Abstract

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 Keywords

livelihood, Government , Schemes, Undeveloped, Organization, Initiatives

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 Abstract

FASALO MEIN JAL KI AAVASHYAKATA EK BHAUGOLIK ADHYAYAN

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FASALO MEIN JAL KI AAVASHYAKATA EK BHAUGOLIK ADHYAYAN

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 Abstract

Gandhian Ideology has major effect on Indian writing in English . Raja Rao holds a prominent place in the realm of Indo-Anglican fiction. In his works , we find the Gandhian Ideology . Kanthapura is widely considered one of the best works of Raja Rao where he has tried depicting the influence that Gandhi and his ideology has on the masses- the mass which were in bound in the rigid shackles of existing evils. The plot of the story is interspersed with the Gandhian Ideology. This novel can be called a tribute to Gandhi and his philosophy. This paper is an attempt to analyse Raja Rao's Kanthapura in the light of the Gandhian ideals of non-violence , removal of untouchability and love for humanity.

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 Keywords

Kanthapura, Gandhi's ideology ,Non-violence,Untouchability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Acoustics, Acoustic Research areas, Environmental Sound classification.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For disaster recovery, data backup is critical. Cloud-based solutions already provide a secure infrastructure. However, data privacy cannot be guaranteed when it is stored in a single cloud. Multi-cloud technologies are another option. Although employing several clouds to save smaller chunks of data can improve data privacy, it also requires the edge device to maintain many accounts and manage connection with multiple clouds. Because of these flaws, this technology is rarely used. Using state-of-the-art Multi-Cloud and encryption techniques, we present DropStore as an easy-to-use, highly secure, and reliable backup system. Using a locally hosted device, DropStore creates an abstraction layer for the end-user to hide all system intricacies."The Droplet," which is completely controlled by the user. As a result, the user does not have to rely on any untrustworthy third parties. Fog Computing was used to do this. The combination of Multi-Cloud and Fog Computing principles gives DropStore its distinctiveness. The system is open-source and accessible via the internet. The suggested solution improves data protection in terms of reliability, security, and privacy preservation while keeping a simple and straightforward interface with edge devices, according to performance results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Infrastructure, Attribute Based Encryption, Cloud Service Provider, Ciper Text policy, Cloud Backup

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For the operation and administration of power systems, demand forecasting, or the projection of future energy demand, is required. Power supply and demand conflicts can be alleviated with effective electricity demand forecasting. Furthermore, accurate load forecasting may help power plants operate more efficiently while also ensuring grid safety. A drop of a few percentage points in forecast accuracy, it is believed, would have a considerable cost impact on enterprises competing in highly competitive power markets. We will use a Deep learning algorithm named Improved in our project to estimate power consumption. We can obtain accurate future predicted output by utilising improved hybrid ARIMA with LSTM.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

LSTM, ARIMA, Hybrid ARIMA, Deep Learning, forecast, energy demand

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract:- Concrete is a major component of building material. The application of concrete is rapidly increasing worldwide, and so is the use of cement which is responsible for global carbon dioxide emission. Concrete production causes a high energy burden on the environment. where bacterial self-healing concrete reduces cost in terms of detection of damage and maintenance of concrete structures. In this study we have investigated the crack filling concrete, using bacteria, it has a self-healing ability as well as is eco-friendly nature which increases the life span of the structure.The Bacillus megaterium bacteria is effectively used to improve strength by reducing the voids.Addition of an excess amount of water during the mixing of concrete results in the development of cracks. These cracks can be healed by using the innovative technique of addition of bacteria that act as self-healing bacteria namely BACILLUS MEGATERIUM.

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 Keywords

Keywords:- Bacteria, Concrete, Cracks, Cement, Bacillus Megaterium, Types Of Bacteria, Self Healing Concrete, Living Concrete.

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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

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Gastroretentive, Floatable, Mucoadhesive, Swellable, Nano fibrous, Expandable.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article deals with information about improvement of inventory by using the concept of milk run method.

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Inventory and milk run

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 Abstract

An experiment was conducted at Post Graduate Research Farm of Inter Faculty Department of Irrigation Water Management, M.P.K.V., Rahuri (Maharashtra) during the year 2014-15 to study the response of suru sugarcane to mulch, irrigation regimes and irrigation intervals under subsurface drip irrigation (SSDI) in respect to growth attributes and yield of sugarcane. The leaf area and dry matter production plant-1 was significantly influenced by irrigation regimes and maximum with 80% ETc irrigation regimes. However, in most of the growth parameters it was remained at par with 60% ETc irrigation regime. Periodical leaf area, dry matter and yield of cane were increased with increased irrigation regimes from 40% ETc to 80% ETc. The values of leaf area, dry matter at all days of observations and yield of cane with 2 days irrigation interval was remained at par with 3 days irrigation interval.

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 Keywords

Subsurface drip, mulching, irrigation regimes, dry matter, leaf area and sugarcane

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Creative Commons Attribution 4.0 and The Open Definition