Volume 9 | Issue 7 |

 Abstract

Axial piston pumps with constant pressure and variable flow have extraordinary possibilities for controlling the flow by change of pressure. Owing to pressure feedback, volumetric control of the pump provides a wide application of these pumps in complex hydraulic systems, particularly in aeronautics and space engineering.The major obstacle in application of the bent axis piston pump is extremely high cost ( minimum Rs90000/)- over that of the radial piston pump , it ranges in the range of 5 to 6 times the cost of radial piston pump. Hence there is a need to develop a modification in the radial piston pump design that will offer a variable discharge configuration in addition to the advantages of high efficiency and maximum pressure. Thus objective of project is defined to develop a variable displacement linkage that will enable to vary the stroke of an single cylinder axial piston pump , thereby offering to vary the discharge of the pump using manual control. The solution offered is in form of the linkage motion adjuster pump where in This mechanism shown above is to convert rotary motion of crank element into oscillatory output of the output element. The angle of oscillation of the output is a function of the position of pivot element. The pivot element position can be varied as it is placed on a slide . Thus adjustment of the stroke can be done by varying the position of the pivot element. This mechanism is selected with the view that it offers maximum stability and vibration-less performance owing to nature of mounting of the pivot element which is mounted on a screw slide with precise adjustment of pivot position an there by permitting continuously variable position change of pivot and thereby stroke of the output. This enable precise control of the output discharge from the pump linkage .3-D modeling of set-up will be done using Unigraphix Nx-8.0 and CAE of critical component and meshing using Ansys Work-bench 14.5. The experimental validation part of the pump will be done using a test rig developed to evaluate the performance characteristics of the pump.

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 Keywords

Design,Development, Linkage motion Adjuster

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BACKGROUND AND PURPOSE: Patellofemoral pain syndrome is the most common musculoskeletal condition. It is also important that patellofemoral pain is evident in 71-75% of patients with tenderness on palpation of the edges of the patella. It is seen in 15%-45% of all knee problems in 16-40 years age group, most commonly in adolescents and young adults. It is characterized by progressive pain, typically provoked by ascending or descending stairs, squatting and sitting with flexed knee for prolonged period of time. METHEDOLOGY: Total 30 females were randomly selected for both groups. In Group A (MFR Technique) 15 females and Group B (Stretching technique) 15 females with CONVENTIONAL exercises in Females with PFPS. The total treatment sessions 4 weeks, 3 sessions each week (12 Sessions) for both groups. RESULT: Result were statically analysed using paired t-test and unpaired t-test by using the SPSS version 25.0 and Excel version2019. There was significant improvement in pre and post assessment NPRS, AKPS and STEP DOWN score with p < 0.05 in both the group. Also, statistically significant p < 0.05 in post NPRS, AKPS AND STEPDOWN TEST in between both the groups. CONCLUSION: This study concluded that Myofascial technique is more effective than stretching for improving pain, functional ability and functional performance in females with patellofemoral pain syndrome.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Patellofemoral pain syndrome, It band tightness, Fascia, AKPS, MFR, Stretching

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The aim of this study was to examine the effectiveness of a leadership skills education program for higher education students. In this program, education was provided to improve the desire for struggle and goal setting, communication skills, group skills, problem-solving skills, decision-making skills, responsibility awareness, trusting and trustworthiness awareness, leadership awareness and emotional awareness within the framework of leadership skills.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Articles, Thesis, reference, books, Government report

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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

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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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 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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 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