Volume 10 | Issue 8 |

 Abstract

These days research has investigated to extricating helper statistics as of dissimilar biometric procedures, for instance, fingerprints, face, iris, palm, voice and so on. This information contain a few highlights like orientation, age, facial tresses, beard, scar, stage, hair, skin tone, glasses, heaviness, facial trace, tattoos plus so forth. This statistics offers increasingly through identifiable evidence. The noteworthy alter to goes over face recognition is to track downhill age as well as orientation of the individual. This document contributes a enormous review of dissimilar face recognition method for tracking down the age plus orientation. The current strategy is examine in view of their exhibition. This dissertation moreover gives future heading to additional assessment. Age as well as orientation, two of the vital facial credit, play a very essential job in forthcoming infrastructure, making age as well as orientation assessment as of a solitary face depiction a noteworthy responsibility in keen application, for instance, access control, human-PC link, policing, awareness as well as visual reconnaissance. This undertaking depends on PC vision the dissimilar wordings used to handle depiction as well as distinguish age plus orientation of individual as of depiction. A Convolutional Neural work is deep neural network (DNN) frequently utilize for reasons for depiction recognition plus management and NLP(Natural Language Processing).

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 Keywords

CNN, NLP. DNN, Deep Learning, Open CV

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The unimpeded growth of greenhouse gas emissions is raising the earth's temperature. The consequences include melting glaciers, more precipitation, more and more extreme weather events, and shifting seasons. The accelerating pace of climate change, combined with global population and income growth, threatens food security everywhere. Agriculture is extremely vulnerable to climate change. Higher temperatures eventually reduce yields of desirable crops while encouraging weed and pest proliferation. Changes in precipitation patterns increase the likelihood of short-run crop failures and long-run production declines. Although there will be gains in some crops in some regions of the world, the overall impacts of climate change on agriculture are expected to be negative, threatening global food security. Populations in the developing world, which are already vulnerable and food insecure, are likely to be the most seriously affected. 75 percent of the world's poor live in rural areas. This Food Policy Report presents research results that quantify the climate-change impacts mentioned above, assesses the consequences for food security, and estimates the investments that would offset the negative consequences for human well-being. This paper reviews recent literature concerning a wide range of processes through which climate change could potentially impact global-scale agricultural productivity, and presents projections of changes in relevant meteorological, hydrological and plant physiological quantities from a climate model ensemble to illustrate key areas of uncertainty. Few global-scale assessments have been carried out, and these are limited in their ability to capture the uncertainty in climate projections, and omit potentially important aspects such as extreme events and changes in pests and diseases. There is a lack of clarity on how climate change impacts on drought are best quantified from an agricultural perspective, with different metrics giving very different impressions of future risk. The dependence of some regional agriculture on remote rainfall, snowmelt and glaciers adds to the complexity. Indirect impacts via sea-level rise, storms and diseases have not been quantified. Perhaps most seriously, there is high uncertainty in the extent to which the direct effects of CO2 rise on plant physiology will interact with climate change in affecting productivity.

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IMPACT OF GLOBAL WARMING AND CLIMATE CHANGE ON AGRICULTURAL PRODUCTIVITY

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The sentimental analysis is a process of extracting human feelings from data. It is an application of natural language processing, computational linguistics, text analysis. Its basic idea is to classify human emotions in different moods such as happy, sad, neutral, etc. It uses the pattern of movement of both the lips and the eye shape that it takes during different feelings of human. It has a huge variety of applications because of its ability to extract insights from data sets and the social media. It will be using machine learning algorithms for the detection of emotions and it will be trained on the huge dataset with varying sample size. It will also use facial recognition to perform a specific analysis of a person after identifying their face. This will provide a separate report for each person on their emotional state. This report then will be used for the expression mining in different modern systems such as online streaming, video interviews, etc. This report will help to empower the existing tools to perform multi task and gives a lot of data to work with

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 Keywords

Opinion Mining,Sentiment Analysis, Face Recognition ,Data Visualization, Customer Reviews

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Creative Commons Attribution 4.0 and The Open Definition

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Bilaspur is district of Chhattisgarh and is situated between 210 37, to 3707, north latitude and 81012, to 81040, east longitude. The texture of soil varies from matasi to kanhar and pH range from 5.9 to 7.1 with a mean value of 6.2. A climatic condition is favorable to weed and crop growth. Climate is generally wet and humid. Paddy is the main crop grown in this area. The crop is heavily infested with the weeds. The losses caused by weed flora of the two rice cultures i.e. dry seeded and transplanted. Present study has been carried out with the view and floristic diversity of weeds of DSR and TPR were studied during 2021-22. Eighty weed species belonging to 64 genera of Angiosperms, 01 genus of pteridophytes and 03 genera of Algae are found to be associated with paddy crop. Fourty one and 39 weed speices were found associated with DSR and TPR respectively. The most dominating families in term of their weediness were Poaceae,Cyperaceae and Asteraceae. Four genera of family Cyperacere were distributed in 09 species, and 10 genera having 12 species of poaceae were recorded. Echinochloa colona, Cyperus iria, Cyperus flavidus, Cyperus rotundus, Ageratum conyzoides, Cynodon danctylon and Saccharum spontaneum were commonly distributed weed species. Dicot/Monocot ratio 1.13 (genera wise) and 0.818 (species wise) was obtained.

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Rice weeds, Bilaspur district, Chhattisgarh, Weed Species

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In today scenario Covid-19 diseases become the world wide pandemic because this disease spread human to human. Firstly a case of pneumonia has been reported in December, 2019, from the Wuhan city of China with a new type of pathogen. After that WHO named this virus as Novel Corona virus (Covid-19) and declared health emergency on 31 January 2020.This virus gives an adverse effect on human body, as well some body parts; like throat, lungs kidney and heart are mainly affected. In the situation of Covid-19 the yoga becomes a panacea to boost human immunity in pandemic over all worldwide. Pranayama improve naturally breathing process by deep inhalation and exhalation. Some particular asana are beneficial in sheath of all human body as results in strong immunity. The aim of this work is to provide a detailed review of the individual and particular yoga and breathing practice effect on the human life in the situation of pandemic. Particular focus is given on effects of breathing capacity or lung capacity of yoga therapy during Covid-19. This paper simply presents an idea to promote the new elaboration that may also put-on a vision for new researcher.

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Covid-19, Yoga-therapy, Asana, Pranayama, Ayurveda and Naturopathy

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Our research is based on the Study of various data mining techniques and tools that are used and in Medical Science. In this study we have conclude the techniques, breast cancer and Chronic and kidney Disease. The major goal of the classification technique is to predict the target class accurately for each case in the data. The present study is focused on the usage of classification techniques in the field of medical science and bio informatics .The goal of data mining application is to turn that data are facts, numbers, or text which can be processed by a computer into knowledge or information. The main purpose of data mining application in healthcare systems is to develop an automated tool for identifying and disseminating relevant healthcare information. Breast cancer is one of the leading cancers for women in developed countries including India. It is the second most common cause of cancer death in women. The high incidence of breast cancer in women has increased significantly in the last years. Chronic- Kidney-Disease prediction using weka data mining tool and its usage for classification in the field of medical bioinformatics. It firstly classifies dataset and then determines which algorithm performs better for diagnosis and prediction of Chronic- Kidney-Disease. Prediction begins with identification of symptoms in patients and then identifying sick patients from a lot of sick and healthy ones. presents a comparative study of different data mining applications, techniques and different methodologies applied for extracting knowledge from database generated in the healthcare industry. Finally, the existing data mining techniques with data mining algorithms and its application tools which are more valuable for healthcare services are discussed in detail.

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USING DATA MINING TECHNIQUES IN HEALTHCARE SECTOR

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The aim of this paper is to introduce the concept of bipolar quadripartitioned neutrosophic soft set and its properties are studied.

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neutrosophic set, neutrosophic soft set, quadripartitioned neutrosophic set, quadripartitioned neutrosophic soft set, bipolar neutrosophic set, bipolar quadripartitioned neutrosophic soft set.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Data Security, Cloud, integrity, confidentiality, outsourcing

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Creative Commons Attribution 4.0 and The Open Definition

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The quality of drinking water is one of the essential factors which affects the human health. Drinking water quality in most of the countries, basically in developing countries is undesirable as a result of which many water borne diseases occurs. Hygienic drinking water is essential for human health, till yet millions of people worldwide do not access to clean water source. in rural areas it is a major challenge to provide safe drinking water. this paper is based on the analysis of providing safe drinking water through packaged drinking water. The paper also indicates that how the packaged drinking water industries mobilizes the payment for water services.

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Packaged, hygienic, fresh water, disease, health, compound annual growth rate, PET, profitable, recycling.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract The purpose of the study was to compare and find out significant differences between athletic and football performers in psychological characteristics.Eighty youth performers i.e 40 football players and forty athletes in the age group of 14-24 years were the subjects for the study. . The goal of the study was to reveal the relationship between psychological skills and performance level with possible effects on the type of sports and gender difference.Youth competitors between the ages of 14-24 years were selected as subjects for the study .Two groups were formed i.e 40 football players and 40 athletes who were regional level participants.The psychological skills inventory for sports was used to collect data.Data were analysed by SPSS 2019 software and for comparison between both games independent T-test SPSS was used. To accomplish the analysis, collected data on the selected dependent variables were compared with computerized software SPSS version 10. It was concluded that Athletic male and football male were different on psychological characteristics of motivation, Athletic female and football female were different on psychological characteristics of motivation and Men and women players in football were different on psychological characteristics of motivation and mental preparation.

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 Keywords

Youth performers,athletes,football players,psychological characteristics

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Creative Commons Attribution 4.0 and The Open Definition