Volume 10 | Issue 5 |

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Existentialism, Indian Drama, Indian dramatists, western Philosophy, Human Existence

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Even-though technologies and organizations evolve, some technological paradigms remain in the developing stage. Image Classification, Image Recognition, and Image Detection are yet some other fields that are been in the research and development stage and have been the most fundamental, popular, and crucial research direction. Image Classification technology based on Machine-Learning (ML) has been broadly used in featured Image Classification, Segmentation, and Recognition, and is a hot trend that developing rapidly in various fields. This paper proposed an ML Model which recognizes the image that the user feeds and predicts the image class to which it belongs. This paper mainly focused on methods and algorithms used to build the model and improve the accuracy. The Model proposed uses the most famous and powerful libraries TensorFlow (TF), Keras, etc to build the Sequential Model that predicts and classifies the given image using a Convolutional Neural Network (CNN). CNN is specifically designed for Image Recognition and Processing (It is a type of Artificial Neural Network - ANN).

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Machine Learning, Deep Learning, Sequential Model, Convolutional Neural Network

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The present investigation gives report on the sedges of the rural areas around Aurangabad district during the year 2012 for the first time. Total 5 genera and 25 species of sedges were growing around rural areas of Aurangabad district which were collected and identified and presented in the form of genera and species key and checklist shown in Table-1 with their phenology and status. Genus Cyperus found dominant having 9 species followed by Fimbristylis 7 species, Pycreus 3 species while Fuirena and Kyllinga have 3 species each. Species were distributed widely in marshy places, pond and in wetlands. The species were used as crop for animal food, medicine and as ornamental purposes.

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Cyperaceae, Taxonomy, Aurangabad District, Diversity

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The basic idea of this paper to show how the normal working of the automatic watering of plants takes places for such the normal plants . In this paper we are only working on the normal plants not specific to any of the plants and not specific to any category of the plants . We will work on the normal soil. Soil moisture will be related to water content which a factor will be affect on the growth and development of the plant . Then the normal processing of watering plants is generally done manually regardless of the how much volume of water needed by plants. Already many research paper have been discussed in some of the paper and the system are also being created to detect the soil moisture level. Just for taking the area of plants we are normally taking the ratio 25% only. If soil moisture value is detected on 25% - 30%, then the device activates the watering function by opening the valve from the solenoid valve to drain water to the pipe. When the soil moisture detected more then 50% , the device stops the watering function. platform, used to display moisture percentage data in graphical form, so the system has the potential to be used in the process of watering the plants automatically.

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Automatic Watering of plants

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Creative Commons Attribution 4.0 and The Open Definition

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At present, a microscopic corona virus has not yet emerged from the terror that has created in America, the most powerful country in the world, as well as other countries like: - England, Italy, Germany, Spain, France, Russia, China, India The economies of other Asian and African countries have staggered. No country in the world has been untouched by this. People all over the world have become victims of death due to this coronavirus. Still its havoc continues, its terror has not stopped in almost the whole world. Day by day it is posing challenges to the entire world community and it is posing health and livelihood problems in front of us in new and dangerous forms. The whole world community is plagued by coronavirus.

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Pandemic,Corona,Diseases,Epidemic,Effective,Suggestion)

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Aim: The aim of study was to assess the knowledge and attitude regarding prevention of substance abuse among young adults (male). Methodology: Quantitative research approach with Non-Randomized Pre-test Post-test control group design was used for this study. Sample and sampling technique: This study included 100 samples of young adults (Male) recruited into experimental group (n=50) and control group (n=50) and the samples were selected by using Non-Probability Convenient Sampling Technique. Tools and Techniques: The tools used for data collection were Demographic Variables, Structured Knowledge Questionnaire (39 Questions) to assess knowledge, and Five point Likert Scale (24 statements) to assess attitude. Result: In Experimental group Before the administration of Structured Teaching Programme regarding prevention of substance abuse in experimental group with relation to knowledge Majority of Young adults (male) 38 (76%) had moderate knowledge, 11 (22%) had inadequate knowledge and 1 (2%) had adequate knowledge and with relation to attitude 49 (98%) had moderately favorable attitude and 1 (2%) had favorable attitude. After the Administration of Structured Teaching Programme regarding prevention of substance abuse in experimental group with relation to knowledge Majority of Young adults (male), 32 (64%) had moderate knowledge and 18 (36%) had adequate knowledge and with relation to attitude 42 (84%) had moderately favorable attitude and 8 (16%) had favorable attitude. Conclusion: It was concluded that the majority of Young adults (male) exhibited Adequate knowledge score and favorable attitude score in Post-test. The knowledge was increased and attitude was changed of young adults (male) after administering Structured Teaching Programme. This showed that Structured Teaching Programme was effective to increase the knowledge and to change the attitude regarding prevention of substance abuse among young adults (male).

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KEYWORDS: Assess, Effectiveness, Structured Teaching Programme (STP), Knowledge, Attitude, Prevention of substance abuse, Young adult (males)

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As we all know, Bone plays an important part in our body, basically being strong enough to support our body, help us to form our shape, as well as protecting organs. Among these, femur bone is one of the most important parts since it is responsible for weight bearing and stability of gait. In normal day to day activities, our body is subjected to numerous complicated loads exerted by different loading conditions. The loading modes on the femur bones includes compressive, tensile, bending and torsional forces applied to the joint head part of bone. In this project we have perform FEA Analysis on different material such as PLA and ABS. Furthermore, after analysis we had developed artificial bone with 3D Printing technology. Then we compared the characteristics and properties of the FEA Analysis for this certain dimension of bone based on the above-mentioned materials to the standard values of specimens generally used for testing. The aim of this study is to analyze the property of different materials which can be used to manufacture the head portion of human femur bone using Additive Manufacturing.

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Analysis of Human Femur bone, 3D Printing, Artificial human femur bone, Human Femur Bone at Head Portion, Additive Manufacturing.

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Now a days, natural disasters are increasing due to factors like global warning, pollution, and ozone depletion, deforestation etc., among many disasters, flood can be predicted and intimated priory. Though there are several types of natural disaster, one of the most vulnerable is Flood Disaster, which will have large consequences for individuals & Communities. Whenever, flooding happens, people living near the riverbank and downstream area are affected severely than others. They need to be alerted much earlier to have extra time to evacuate immediately. The main objective of the proposed system is to develop an early warning system to detect flood and send notifications to the authority so that they can evacuate people earlier and avoid loss of life and property. This project is designed on the IoT based platform, where data from the sensor is collected at the Microcontroller and alert is generated and transmitted as SMS to smart phones.

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Internet of Things, Flood Level, Water Level Sensor, Water Flow Sensor, Disaster Management

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Bowlers, Cricket, anthropometry, Physiological variables

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There is no denying that India is equally hard-hit by the pandemic, COVID-19, more in economic than in terms of human toll-comprising deaths, infected and suspected. India had also been witnessing a pre-pandemic slowdown and unprecedented shock. The economic impact of the COVID-19 pandemic in India has been largely disruptive. India was bound to be affected not only because of its domestic slowdown but also because of its international recession. The Central Government of India has announced a variety of measures to tackle from this pandemic from healthcare, food security, tax deadline extensions, sector related incentives and many more. This study describes the impact of this pandemic on various sector and revealed various opportunities for India to arrive on the international stage afresh and assert itself as a global power in its own right.

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 Keywords

COVID-19, Pandemic, Indian Economy, Impacts.

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Creative Commons Attribution 4.0 and The Open Definition