Volume 8 | Issue 7 |

 Abstract

In 21th country Women are the part of our society but still they have facing same kind difficulties in getting their rights and duties, women are the key to sustainable development and quality of life in the family, society as well as for the economic development of the our country. The role of women�s has changed a hugs in amount and is making its greatest impact in our society today. Women�s empowerment and economic development are correlated as they move in positive direction. As and when women empowerment increases economy strengthening development plays a significant role by driving down inequality between men and women. Empowering women is one of the measures for economic development. World Economic Forum rightly said about Indian women�s power as they quoted; 9%-10% of change in women�s empowerment which may leads to increase27% -30%of GDP

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 Keywords

Women, Empowerment, World Forum, Development, Economic Development Etc.

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The education field always needs someone to enrich the field of education for learning in a better manner. Several Indian educationists contributed in it. Shri Aurobindo also contributed a lot for bringing changes so that the future generation can gain better system and ideas in education. It has been mentioned in this paper that it deals with his involvement in which his philosophy of life and social psychology influence spiritual education. It also has been dealt with the principles of educational philosophy on Mind, Knowledge, Intelligence and Consciousness that is a very essential part of spiritual education. He agrees believes that man is the maker of his own destiny and education is a big tool to achieve the target. This present paper tells about the philosophical contribution of Shri Aurobindo Ghosh in the education field of Education that relates the significance of Shri Aurobindo�s philosophy of education with different components like principles of teaching, aims of education, discipline, a relationship of teachers, curriculum, transaction, school and pupil, etc.

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 Keywords

Shri Aurobindo, Teaching, Philosophy, Curriculum and Education

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Many Driver Monitoring System (DMS) have been proposed to reduce the risk of human�caused accidents, but those systems will not guide users under critical or emergency conditions. So, a Real-Time accident prevention system has been proposed in which the drowsy condition of the driver can be detected and appropriate action will be performed automatically. In the current world, road accidents are fatal. In order to reduce such accidents and their brutality, we have introduced the Drowsy Driver Detection and Alert System. The main concept includes the recognition of face (facial features) and these features are taken as the input for the processing. The threshold features are set and after that the deviation from these thresholds would result in the alert system activation. Additionally, this system will alert with notification message for any of user needs or emergencies. This system shows the nearest service provider who can provide appropriate service. If the vehicle stops due to any problem such as repair or puncture, a notification will be sent to the nearby registered garages and repair zones. The garage or repair zone will send a request to the vehicle driver to offer solution for the problem. Any of the requests can be chosen and the respective garage or repair zone will send helpers to serve the vehicle driver. Similarly, one can send notifications to nearby fuel stations, food suppliers and health centers to get their respective service. Finally, this project prevents accident and also acts as a AI assistant to the driver.

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 Keywords

Drowsiness, Alert system, Image Processing, Face detection.

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 Abstract

Polyunsaturated fatty acids (?-3 fatty acids) have been related to healthy ageing all over life. A moment ago, from fish source ?- 3fatty acids DHA and EPA have been linked to fetal development in AD and cognition related problems. However, since human body does not effectively produce few ?-3 fatty acids, which obtain from marine sources. The brain is extremely augmented with lipid bilayers. Thus, it is accountable to undertake that the compounding of different fatty acids within brain ha importance for the brain functioning, counting neuropsychiatric and cognition development. To know the special effects form fatty acid consumption, we required to depend along the mutual evaluation of observational studies, observations and Interventional studies. The brain is enriched with lipid bilayers of ?-3 fatty acid constituents like DHA and EPA may cause heaps of effects on the mentality. The potential function of ?-3 fatty acids, DHA and EPA in the suppression of cognitive degeneration, including AD have involved key importance for the past two decades. Additionally, AD has delivered the utmost positive sign to backing the situation that inflammation contributes to neurodegenerative disorder. It is assumed that primarily, management or prevention of inflammation may delay the indications of AD. Ordinarily, switches the brain physiology with increased age, making up a reduction of elongated chain ?-3 fatty acids and brain of AD patients have reduced the DHA presence. Provided supplementary DHA can decrease the indications of inflammations. The health related benefits of ?- 3 fatty acids are very appreciable. Currently, there is no any evidence of maintenance or confirmation of that modifiable risk parameters like herbal medicines, nutritional supplements, modified diet etc. Are associated with reduced the risk elements of AD or the cognition failure. Even though, multiple studies are demonstrating that lifestyle and diet related parameters are the chief risk factors for AD and cognition behavior. This chapter basically focused on the different functions of ?-3 fatty acids, mainly DHA and EPA in different neurodegerative diseases and disorders.

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 Keywords

Cognitive disfunctioning, Eicosapentaenoic acid, neurodegeneration, Docosahexaenoic acid

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Landslide is the phenomena of sliding of upper loose soil surface over another soil surface.landslide study includes geological and Geo-technical properties of soil before and after landslide. Slope failures are common geo hazards in the near Panhala fort region during monsoon period.. In the present study an attempt is made to understand the mechanism of debris flow at Jambhaliwadi Panhala region. And to discuss the actual causes of failure in the area .The area is still failure prone, and may fail as number potential failure surfaces exist in the site. The Geo-technical analysis of the slopes were carried out to identify the type of failure happened on the slope and also to examine whether the chances of the profile to failure still exists in the site. Angle of internal friction (�), plastic limit, liquid limit and plasticity index of the samples were determined in the Geo-technical laboratory.

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Jabhaliwadi ,Panhala region, Debris Flow,Index properties,Plastic limit,Liquid limit.

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ABSTRACT The aim of the present study was carried out to determine the possible chemical compounds of methanolic extract of outer bark of Cynometra iripa (Fam. Leguminoceae) and Lumnitzera racemosa (Fam. Combetaceae). The phytochemical compound screened by GC-MS method from stem bark by using GCMS technique. The GCMS analysis revealed that the presence of bioactive compounds. The main constituents were 9-12 Octadecadienoic acid, 4-Methylmannose, 7-Tridecanone in higher Area % and , Sitosterol, Ergosta-8, 24(28)-dien-3-ol, 4, 14-dimethyl, Glycerin, 2 Heptanone-3 methyl, ?-L-Galactopyranoside, methyl6-deox, 3-O-Methyl-d-glucose in lower Area %. The bioactive compounds are found active against antimicrobial and anti-inflammatory activities.

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Antimicrobial Bark, Bioactive compounds, Mangroves.

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Prediction of the remaining life of high-voltage power transformers is an important issue for energy companies because of the need for planning maintenance and capital expenditures. Lifetime data for such transformers are complicated because transformer lifetimes can extend over many decades and transformer designs and manufacturing practices have evolved. In this system develop statistically-based predictions for the lifetimes of an energy company�s fleet of high-voltage transmission and distribution transformers. The company�s data records begin in 1980, providing information on the installation and failure dates of transformers. Although the dataset contains many units that were installed before 1980, there is no information about units that were installed and failed before 1980. Thus, the data are left truncated and right-censored. We use a parametric lifetime model to describe the lifetime distribution of individual transformers. We develop a statistical procedure, based on machine learning models, for computing a prediction interval for remaining life for individual transformers now in service. Then extend these ideas to provide predictions and prediction intervals for the cumulative number of failures, over a range of time, for the overall fleet of transformers. Using machine learning algorithms effectively got the power transformer loss values then it was sent through the mail to the server.

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 Keywords

Lifetime, Machine Learning, Prediction, Statistical Procedure, Transformer

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This study has been undertaken to investigate the parameters which are affecting the students to attend online classes or trainings, considering the covid 19 pandemic situation we analysed four parameters, firstly how supportive is the student�s environment next does they have gadgets which support present online platforms, instructor involvement during the sessions and lastly the impact of these online sessions on their personal life. For a long period, traditional teaching method which used a classrooms setup where the instructor explains the concepts to the students using a board has been a widely practised approach. Now days many of the educational institutions or training centres are continuously updating them with the latest technology and developing creative and effective online content to meet the demand and expectations of the students and to stay ahead in the market. In our investigation we found that maximum of the students showed interest towards online sessions with few improvements.

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Digital learning, Black board teaching, Online platforms, Gadgets, Instructor

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With the increase in crude oil prices use to day by day life, the need for development of economically attractive alternate fuels has increased. Production of biodiesel from all waste cooking oil is one such raw materials or alternative. The project involves setting up of a laboratory scale production unit for biodiesel Conversion from waste cooking oil, collected from different sources. Methanol, with sodium hydroxide nd other components as a catalyst, Reacts with the waste oil in the Transesterification process in the our laboratory producing fatty acid methyl ester (FAME) with glycerine as a by product. Properties of a our sample including density, viscosity, flash point, pour point, sulphur content, cetane index are tested according to ASTM standards and compared with those of petroleum diesel, establishing the sample as complete biodiesel. The project will also include blending of biodiesel with petroleum diesel and their properties to be tested and to be compared. The production of biodiesel from waste cooking oil offers economic and environmental solutions along with waste management. The project, thus aims at utilizing leftover cooking oil, for a possible conversion to biodiesel.

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 Keywords

Biodiesel, waste cooking oil, Transesterification, FAME (fatty acid methyl esters).

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Natural Language Processing (NLP) is nothing but the communication of the computer and the human as it spoken as own language. The paper proposes a way to give a password as safe, secure and authentication using message digest 5 algorithm. Here, the create login page like the username and password. The username and password is given as a speech and the speech is converted into text. The speech is converted to text with the help of webkit speech recognition API it is like a google assistant. Here, the username and password matches it result as a login successful, otherwise it results as login failed. This approach ensures the security and authentication of the password given by the user.

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 Keywords

Speech Recognition, Speech to Text, Authentication, MD5 algorithm and Webkit speech recognition

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