Volume 10 | Issue 6 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Big Data, Deep Learning, Apache Spark, convolutional neural network (CNN), Image Classification dataset

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Grievance redressal leads to customer satisfaction and loyalty. Complaint management is beneficial for banks as it maintains the present customers and builds the new customer base to its existing one. The present study has been designed to analyse the grievances faced by the customers of public and private sector banks through normal and digital banking, the modes preferred by them to redress their complaints . The results shows that Majority of the respondents from the public sector bank have been confronting problems related to levying of charges without notice . and also the customers in public sector are using verbal modes for registering their complaints while in the private sector the majority rely on digital means

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Grievance redressal, modes of complaint, Complaint management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To be suitable for construction, soil with low bearing and shearing strength must be stabilized. Soils have low tensile and shear strength in general, and their characteristics are heavily influenced by environmental factors. Soil reinforcement is the process of incorporating certain materials with desired properties into soil that lacks them. Soil reinforcement is defined as a technique for improving the soil's engineering characteristics. Manufacturing wastes were successfully used in soil reinforcement techniques in the past, according to some studies. Mechanical, thermal, and chemical methods can all be used to change the properties of clayey soils. As a result, soil stabilization techniques are required to ensure that soil is stable enough to support the load of the superstructure, particularly in the case of highly active soil; they also save time.

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Creative Commons Attribution 4.0 and The Open Definition

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Soil stabilization, coir fiber, Sodium Chloride , MDD, OMC , UCS and CBR

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cancer could be a disease during which cells grow rapidly and abnormally, making treatment difficult in some cases, but it may be controlled if detected early. Image Processing Mechanisms play a vital role in predicting and recognising both benign and malignant cells using classifier mechanisms like Decision-Tree (D-Tree), A-NN, Support-Vector-Machine, and Nave-Bayes classifier, which are widely employed in the biomedical field. These classifiers can distinguish between common and weird cells. the aim of this study is to review the foremost well-known Image Processing Mechanisms for carcinoma Detection and Prediction. Brief information on the most steps in proposing a good system using Image Processing stages like image acquisition and pre-processing..

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cancer,Detection, Image, Processing, Predicting.

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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

 Keywords

Child right to education, Education system, literacy, comparative education system.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

NowadaysPopulationGrowthisincreasingRapidly.ThelineargrowthofpopulationhasresultedinmanyPassengersusingRailways.Asaresult,morestrictsafetyrequirementsforrailwaysignaling,control,andinfrastructureareneeded.Accompanyingthat trend, in recent years, machine learning techniques have also advanced rapidly.People counting systems aim at automatically estimating the number of people indoorandoutdoorplaces.Theyarewidelyusedinretailenvironments,determiningconversionratio,advertising,andpromotionalevaluationsandtheycanbeusedforthetransportationmanagement system and video surveillance. This project presents a model of estimatingthe number of people in railway scenarios based on the deep neural network algorithmYOLO.WehaveinthisprojectdevelopedasystemcapableofautomatingthelightingonrailwayPlatformsbasedonthePassengerCountinRailwaysandalertingifapersonisinanunsafe zone when the train arrives at the location.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fatigue detection, ultrasonic sensor, EARalgorithm, Arduino UNO, Open CV, DHT11 temperature sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In current days we can find out lot of loss occurred mainly from credit card transactions, almost billions of dollars are getting lost through credit card fraud transactions. In general to identify such fraud transactions there is no accurate approach and hence the design of efficient fraud detection algorithms is the only solution for reducing these losses and avoids fraud transactions. This problem is very difficult because the credit card fraud data is almost unbalanced and unstructured so there is lot of confusion for the one to classify the fields and then find out the fraud transactions manually. In this thesis we try to design a model using Random forest and CART and take sample dataset collected from KAGGLE website and then check the performance of our model using the algorithms. Here we can see random forest can able to predict and find out the fraud activity very easily and accurately compared with several primitive models. The proposed random forest algorithm achieved more than 99.7 percent accuracy for finding the credit card fraud transactions from a large dataset.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Credit Card, Fraud Transactions, Random Forest Algorithm, CART Algorithm, KAGGLE.

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Creative Commons Attribution 4.0 and The Open Definition

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Possible risks and abnormal loads that causes progressive collapse are as follows aircraft collision, design or construction error, firing, gas explosion etc. Such Conditions are not consider in designing structure like Residential,commertial Buildings, since possibility of occurring these kinds of risks is very low. Progressive Collapse in a building occurs when any major structural load carrying member (like columns) leads to collapse of adjoining members, which in-turn leads to the additional collapse. In this paper, the G+ 7 moment resisting steel frame building is analyzed for progressive collapse considering two methods namely linear static method by using ETABS 2018 software. In this attempt, the columns at different levels are subjected to varying temperatures ranging from 250?-750? with the interval of 250? with the material properties and yield strength as per IS 800-2007. Different load combinations are considered as per IS-875 part I & II. According to General Service Administration (GSA) -2016 guidelines the fire load is applied additionally at different storey to the selected columns in the Building. The structure is cheacked and analyses and the DCR values obtained are checked as per GSA- 2016 permissible limits.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fire load,Progressive collapse,Demand Capacity Ratio,Steel Structure.

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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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Talaq, Women, gender, discrimination

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Creative Commons Attribution 4.0 and The Open Definition

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This project is focused on collecting valuable feedback from anyone who has used a service or a product. So that through the provided feedback from the users, service or product providers can gain insights from the feedback and enhance the product or service. By this process the providers gets to know pros and cons of the product. The feedback and opinions on a project are used to shape new changes and improvements. A feedback system allows getting the desired output with continuous comparison with the reference to current system. We aim to develop a modern, scalable, reliable and robust web-based application which is useful for any organization i.e small, medium or large-scale. In the educational sector, performing student feedback electrolytically (using PC, Tablet, or Mobile) rather than the ordinary paper-based methods saves staff and students' time and makes managing the data easier. This paper proposes a new approach for the Electronic Student Feedback Management System based on web programming, which consists of input, process, store, and retrieves information using a database.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Custom Feedback, Campaigns, Statistics

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Creative Commons Attribution 4.0 and The Open Definition