Volume 9 | Issue 7 |

 Abstract

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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

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fatigue,Driver Drowsiness.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition