Volume 9 | Issue 7

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This paper aims to describe the study of the time history analysis using ETABS. An earthquake is the result of a rapid release of strain energy storied in the earth crust that generates seismic waves. Structures are vulnerable to earthquake ground motion and damages the structures. In order to take precaution for the damage of structures due to ground motion, it is important to know the characteristics of the ground motion. The most important dynamic characteristics of earthquake are peak ground acceleration, frequency content, and duration. These characteristics play predominant rule studying the behaviour of structures under the earthquake ground motion. The earthquake analysis of multistorey structure is done by linear and nonlinear methods. Response spectrum method of analysis is linear dynamic analysis. For nonlinear dynamic analysis time history method is used. In this paper, response spectrum method is used for linear analysis. For nonlinear analysis, time history method is used. For time history method Both the analyses are done using ETABs software.

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TIME HISTORY METHOD, RESPONSE SPECTRUM METHOD, TIME PERIOD, ETABS.

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Speech & text is that the primary vehicle for personage correspondences. individuals needs vision to get to the statistics in an extremely text. Anyway individuals who have low vision can accumulate data from voice. it's controls the Cameras and Bluetooth headsets which go about as an associate between the framework & consequently the client. Optical Character Recognitions or OCR is executed during this venture to allow characters which are perused out by the framework via a Bluetooth. The camera is mounted on exhibitions, it catches a full perspective on the paper into the framework. Additionally, where the camera takes the depiction of the paper. It's guaranteed that there are acceptable lighting conditions. The substance on the paper should be scripted in English & be of fine text dimension. When of this condition are meet the framework snaps the picture, measures it & in the event that it perceives the substance composed on the paper it'll declare on the Bluetooth headset speaker that the substance on the paper has been effectively processed

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VISUALLY IMPAIRED PEOPLE

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Solar energy is very important means of expanding renewable energy resources. In this paper is described the design and construction of a microcontroller based solar panel tracking system. Solar is nonconventional source of energy, considering this we have develop solar panel so that we can fulfil our electricity in need. But due to revolution of the earth, solar source ie. Sun does not face the panel continuously hence less electricity is produced. The energy panel should face the sun till its is present in day. The problem above can be solved by our system by automatic tracking the solar energy. The main objective of this project is to development of an automatic solar tracking system where by the system will caused solar panel which will keep aligned with the sunlight in order to maximize in harvesting solar power. The system focuses on the controller design where by it will cause the system able the track the maximum intensity of sunlight is heat. When the intensity of sunlight is decreasing this system automatically changes its directions to get maximum intensity of sunlight. LDR light detector act as sensor is used to trace the coordinate of the sunlight by detecting brightness level of sunlight. While to rotate the appropriate positions of the panel a DC gear motor is used. The system is contolled by to relays as a DC gear motor driver and a microcontroller as main processor. This project is covered for a single axis and is design for low power and residential usage applications. For the hardware testing, the system is able to track and follow the sunlight intensity in order to get maximum solar power at the output regardless motor speed.

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Solar Energy Tracking, Solar Energy, Embedded Systems, LDR, Microcontroller, DC gear motor

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Creative Commons Attribution 4.0 and The Open Definition

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This comparative study will explore the student�s perspective towards virtual learning and real learning. In this prevalent locale numerous institute and universities are offering e-learning. The fundamental motive of this research is to know the students vantage point towards distance education and mainstream education. This exploration assist us to realize which methodology of learning does students prefer for their convenience i.e., virtual or real learning. In this technological world utmost of the students are opting for real learning, it�s really an eye-opening artifact. This assessment helped us to find the causes beyond virtual learning. Survey also tells that virtual learning is intransigent for students due to some major well known issues like network issues, no face-to-face interaction and unavailability of required tools. One of the considerable complications, we came across the survey is that there is an insufficient familiarity among the students in the usage or adoption of technologies related to virtual learning and also inadequate subject knowledge. If we examined student level of satisfaction, majority of the students are gratified with the real learning than virtual learning. We have taken the survey from the students of UG and PG.

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�A Comparative Study on Students Perspective towards Virtual Learning v/s Real Learning of Graduate Students�.

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Self-reliant, young generation, Attitude, Aatmanirbhar Bharat, Swadeshi Products

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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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Design,Development, Linkage motion Adjuster

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

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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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Articles, Thesis, reference, books, Government report

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

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition