Volume 9 | Issue 7

 Abstract

Farming is the backbone of India. Agriculture in India is major source of income for a majority of the population and can never be underrated. Government Schemes are intended to help all farmers across the country.We aim to develop an android based mobile application which provides information regarding the various Government Schemes.The already existing applications provides outdated information and have lot of security risks.Moreover, these apps provide information only in one language (either only English, or Hindi). In this paper, we made a universal multilingual mobile application which any farmer can use conveniently irrespective of their native language it will provide multiple language support. Our system is implemented using Neural Machine Translation (NMT) which uses an Encoder-Decoder Architecture. The Encoder takes the sequence of sentences and feeds it to the Neural Network, then the Decoder generates the decoded output (translated sentence)

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Neural Machine Translation (NMT), React Native, Multilingual Mobile Application

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 Abstract

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Phyllanthus niruri Linn., aluminium toxicity, silicon, aluminium uptake, hematoxylin.

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Optical Character Recognition, Raspberry pi, Image Acquisition, Pre-processing and Gray Scale Conversion

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With the enhancement in the banking sector lots of people are applying for bank loans but the bank has its limited assets which it has to grant to limited people only, so finding out to whom the loan can be granted which will be a safer option for the bank is a typical process. So in this project, try to reduce this risk factor behind selecting the safe person so as to save lots of bank efforts and assets. This is done by mining the Big Data of the previous records of the people to whom the loan was granted before and on the basis of these records/experiences the machine was trained using the machine learning model which gives the most accurate result. The main objective of this project is to predict whether assigning the loan to a particular person will be safe or not. Here Machine learning techniques are used to predict the person who is reliable for a loan, based on the previous record of the person to whom the loan amount is accredited before. The Four machine learning algorithms like Logistic Regression, Decision Tree, Random Forest and XGBoost are compared and the algorithm with highest accuracy is applied to predict the loan approval of customers.

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 Keywords

Machine learning, Logistic Regression, Decision Tree, Random Forest, XGBoost, Loan prediction, Python

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Nowadays, it has become a hobby of watching birds for human beings. Due to the different features of the bird with their color, size, and viewing angle of humans are unable to identify and classify the bird species. In this paper, we present a new image classification method for bird species identification. we are extracting the features of a bird and with novel preprocessing and data augmentation methods, we train a convolutional neural network on the biggest publicly available dataset. Our network architecture achieves a mean average precision score of 0.95 when predicting the main species of each image file and scores 0.96, 0.99 chances of bird species from the dataset.

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 Keywords

Deep learning, Bird Species, Convolutional Neural Network, Image classification, ResNet152

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 Abstract

Session control in distributed web services is traditionally based mostly on username and password, specific logouts and mechanisms of user session expiration using conventional timeouts. Emerging biometric alternatives allow substituting username and password with biometric data throughout session establishment, but in any such method though a single verification is deemed sufficient, and the identity of a user is appeared immutable throughout the entire session. Additionally, the duration of the session timeout may also additionally have an effect at the usability of the service and consequent customer satisfaction. This project explores promising alternatives offered via utilizing biometrics in the management of sessions. A secure protocol is defined for perpetual authentication via continuous user verification. The protocol determines adaptive timeouts primarily based totally mostly on the quality, frequency and sort of biometric data transparently acquired from the user. Finally, the current prototype is discussed.

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Security, web servers, multi-modal authorization , authentication.

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 Abstract

The driver drowsiness detection is based on an algorithm, which begins recording the driver's steering behavior the moment the trip begins. It then recognizes changes over the course of long trips, and thus also the driver's level of fatigue.

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Fatigue,Driver Drowsiness.

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Diabetic retinopathy is spreading at very faster rate across the globe. The opthalmic appearance of diabetes is called as Diabetic retinopathy, and the people who have diabetes are at high risk to lost their visual sense by this diabetic retinopathy. If a people have diabetes over a long time then up to 80% of people lean to evolve diabetic retinopathy. Micro vascular complication is also the most frequent cause of diabetic retinopathy. Micro vascular damage becomes manifest,is the very first point in the eye. All though there are number of techniques for diabetic retinopathy treatment like lase treatment. But primal detection of this play a vital tole in the successful and complete treatment. Human eye consist of number of component like cornea,pupil,lens,fovea,optic nerve,retina iris etc. All the component have their importance but Retina is the most essence part of the human eye. Diabetic retinopathy affect the retina and their functioning. Retina has blood vessels for blood circulation in the eye. In diabetic retinopathy blood vessels are deform and have some defects that cause the complete blindness and vision-threatening. The changes in vessels due to diabetic retinopathy bring forth lesions, which posterior the functioning of the photo acceptive cells . Fovea has the larger photosensitive cells, when the affected region reach to near the fovea serious condition occurs. At this stage vision-threatening is occurs because of eye pressure increases every time. Diabetic retinopathy detection in early stage is a great challenge because it does not have any symptoms and signs by which patient can know about it. The symptoms are shown at the stage where treatment is not useful and gave good results. There is need of high accuracy software which can detect the diabetic retinopathy at early stage, currently there is unavailability for screening software, the scanning is done by eye specialized doctor. In this paper we are proposing the solution for early stage detection of DR. DIARETDB1 database is used for all experiment and testing. In the process of DR detection steps like preprocessing, candidate extraction and feature extraction used.

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 Keywords

Diabetic retinopathy, Image-processing, Microaneurysm, Machine learning,Python

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 Abstract

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Key words: SCI, proficiency, students, speaking, ability.

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Electricity is an essential commodity for modern and technologically developed world and it is very important for the future development of the society. Electricity must be supplied on a continuous basis in order to cover daily requirements. Power plants are the only way to ensure the daily production of electricity, however they contribute significantly in environmental pollution since they consume fossil fuels. This project investigates a way to operate "Solar hybrid PMSM drive" to lower the dependency on conventional power sources. Thus the use of renewable sources we can reduce the CO2 emissions. In this project we are using solar panel to generate 12V output to charge the lead acid battery through "Solar hybrid charger" also the battery can be charge using 12V DC source. Then the charged battery can be used to run the "Permanent magnet synchronous motor" by PMSM drive. The PMSM along with the Solar hybrid charger can be use in multipurpose way. e.g. It can drive the emergency fans, motor pumps, some household loads, etc.

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Arduino UNO, Battery, PMSM Drive, Solar Hybrid Charger, Solar photovoltaic System.

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This Research focuses on developing a puncture proof coating on the inner liner of the tire by incorporation of nanoparticle in to the polysiloxane. Automobile has played a crucial role in the upliftment of society. This is also an important prerequisite for the progress of modern society Nanotechnology has paved new ways for innovative products. Carbon nanotubes (CNTs) are one of the ideal reinforcement phase because of their aspect ratio. This study focuses on the development of thin film composed of silicone sealant and multi-walled CNT over the rubber surface that acts as puncture resistant coating this process is carried out by mechanical agitation technique. Based on the results it can be observed that incorporation of MWCNTs has led to increase in the life of tire. Optimum results were obtained in terms of tensile and hardness for the developed coating. Fourier-Transform Infrared Spectroscopy (FTIR) was employed to identify inorganic materials in the matrix that might influence the mechanical properties under study

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Tensile test; Hardness tes; Puncture test; Carbon nanotubes; Fourier-Transform Infrared Spectroscopy (FTIR); silicone sealant; Nanocomposites

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Spectroscopy is branch of science dealing with the study of interaction of electromagnetic radiation with matter. Spectroscopy is the exact study of color as it applies to all bands of the electromagnetic spectrum, including visible light. Spectroscopy is one of the most powerful tools available for the study of atomic and molecular structure and is used in analysis of wide range of sample. Many type of spectroscopy analysis are used different types of fermentation process like UV Visible, Infrared, and Raman Spectroscopy. Dairy products that were fermented have a long history of manufacture. Ayurveda has a variety of medications, including fermented forms such as arishtas (fermented decoctions) and asavas (fermented powders).This study explains the fundamentals and recent advanced study in fermented biomedical spectroscopic analysis. The goal of this review is to describe and analyze commonly fermented foods (kefir, kombucha, aristha, asava, yoghurt, and sourdough bread), their modes of action (including the influence of spectroscopic analysis), and the evidence for impacts on human digestive health and diseases.

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Introduction, Methods of spectroscopy analysis, Fermented biomedicine, Application and example of spectroscopy analysis of fermented biomedicine etc.

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Social power; Social distance; Socio-pragmatics; Request strategies; Semantic formulas, Yemeni doctoral students, Arts, Non-Arts

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The United Nations, as an International Organization has been an active participant in the debates surrounding gender, security, development etc. As a global standard setter, as a forum for debate, and as an unparalleled source of comprehensive data on the status of women worldwide, the UN is a unique one. The UN Charter, the Universal Declaration on Human Rights, international conferences on women and the creation of women specific institutions like UN Women, encapsulates some of the efforts made by UN at the multilateral level on gender. The present paper examines in close detail as to how the UN organization has used addressed questions related to gender. Focusing on organizational initiatives and programmes, the paper looks at the dynamics which influence the ability of the UN to work in the area of gender.

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Gender, Security, Hard Core Politics, UN Women, UNIFEM, Gender mainstreaming, Hegemonic Masculinity Culture.

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Abstract: Occupational stress is unavoidable and there is a high number of working men and women struggling with it (Prasad, Vaidya, & Kumar, 2016). The teaching profession is considered one of the most stressful profession (Beers, 2011; Klassen et al 2013). Studies show that there is a global spread of teacher related stress and it has affected the well-being and keenness to work on this profession and when compared to other working population teachers have high risk of psychological distress and lower levels of job satisfaction (Hasan, 2014). Occupational stress affects not only the individual but the organization as well (Jeyaraj, 2009). Using a quantitative method this paper aims to identify the occupational stress levels among tribal primary teachers in urban Shillong. Stress levels among primary teachers are in the moderate and high levels. 75% reports moderate stress whereas 25% reports high stress. This shows that tribal primary teachers in Shillong have occupational stress.

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keywords: social support; occupational stress; tribal primary teachers

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Anaemia is a common concern in geriatric age group (more than 60 years of age). Anaemia is a major public health problem, especially in developing countries. Anaemia is associated with adverse outcomes among elderly such as reduced quality of life, depression, increased disability, higher risk of Alzheimer disease and increased risk of mortality regardless of the underlined cause of the low hemoglobin and its reduction in the number of circulating red blood cells or the heamoglobin concentration in the blood. Prevalence of anaemia in elderly has been found to range from 8 to 44 percent, with highest prevalence in man of 85 years and older. Anemia show a variety of symptoms, including facial pallor, edema resulting from decreased red blood cells, fatigability, malaise, headache, chest pain due to insufficient oxygen supply, palpitation or shortness of breath by compensatory mechanism. Older persons with anemia suffer disability, physical decline and hospitalization at higher rates than those without anaemia.

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Anaemia, Elderly, Hemoglobin

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Abstract Background Anterior pelvic tilt is an angle of inclination in which anterior superior iliac spine (ASIS) is inferior to the posterior superior iliac spine(PSIS) in relation to the horizontal plane. Aim The aim of the study was to compare the immediate effect of kinesio taping on abdominal muscles versus hamstrings muscles on pelvic tilt in healthy young female. METHODS The randomized clinical trial was performed in Nashik, India, during the time period from December 2020 to June 2021. 60 females aged between 18 to 30 years with anterior pelvic tilt more than 15?. Females were randomized into two groups (each 30). Abdominal muscle taping was performed for group A and group B went hamstring muscle taping. Anterior pelvic tilt was measured before taping, immediately after taping and after 24 hours. Repeated measure ANOVA was used to compare within group and Unpaired T-test was used to compare between two groups. RESULTS No significant results were detected between the Anterior pelvic tilt angle before and immediately after taping in both the groups (p >0.05). However a significant reduction in anterior pelvic tilt was observed in both the groups 24 hours after taping (p<0.05). CONCLUSION Taping on abdominal muscles and hamstring muscles was equally effective in reducing Anterior pelvic tilt angle after 24 hours

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Anterior pelvic tilt, pelvic angle, Palpationmeter, Kinesiotaping.

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 Abstract

As we know that our country population is rising day by day, so it leads towards the huge scarcity of land in future. So, focusing towards this major issue of land scarcity faced by the people in future we have tried to plan, design and analysis of residential building. We have also focused to provide more efficient and durable residential building focusing on the safety of the building by various loads acting on it which can cause deformation and fatigue. We have used different software like AutoCAD for planning and STAAD.pro for design and analysis purpose. With the help of this software, we can provide more efficient data in less efforts and time. In this we have also focused on the area we are using we have to give more appropriate building consuming less space.

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Residential Building, plan, AutoCAD, Design, analysis, STAAD.pro.

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Probiotics, cancer, Colon Rectal cancer, microorganisms

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