Control on Blast Furnace Skip Car Derailment by use of Pareto Analysis

The skip car in blast furnace is used to transfer and charge raw materials such as coke, iron ore, sinter and additives like limes stone dolomites into the furnace. This Skip Car has to withstand heavy wear caused by loading and unloading of those raw materials onto the Car body, which subjects it to derailment while delivering the charge raw material into the blast furnace. If skip car derailed during travelling material charging stopped in blast furnace has been stopped and due to that hot metal production has stopped. Most of the derailment occurs during skip car return from dumping level near of track changing area. Due to derailment of skip car skip bridge structure and skip car body got damaged, also repositioning of skip car is difficult task as car gets toppled from track. We have required to strengthening of bridge structure which got damaged during skip car derailment. For this purpose, corrective measures are suggested to minimize the derailment of skip car with the help of Quality Circle tools. 

by Gourav Kumar Verma "Control on Blast Furnace Skip Car Derailment by use of Pareto Analysis" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd38637.pdf 

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/38637/control-on-blast-furnace-skip-car-derailment-by-use-of-pareto-analysis/gourav-kumar-verma

peerreviewedjournals, reviewpapers

Customization of BMIDE at Customer End as per Business Requirement

In today‘s competitive environment most of the Information Technology Enabled Services ITES industries having large amount of product data in the scattered form as the industries become bigger and bigger. Manage the CAD Design data in an efficient way with existing infrastructure which can maintain the version of changes in the CAD data, also speedup the cross functional team to align the design updates. Currently Caresoft have 5000 parts in folder by end of this year it will be overall 15000 parts will be added up to 25000 parts approximately so to manage these data at various level of company need rigid solution on it, so PLM implementation arises. This project provides best industry practices at various levels like Creo data management, Document Management, Engineering process management, Provides security, Bill of Material management, Queries, Report generation Data relational management. Project also provides solution in structure manager, access manager, change management, workflow designer organization creation etc

 

by Mr. Narangale Digvijay Dhondiram | Mr. Sayyad Shafik R "Customization of BMIDE at Customer End as per Business Requirement" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd38679.pdf 

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/38679/customization-of-bmide-at-customer-end-as-per-business-requirement/mr-narangale-digvijay-dhondiram

callforpaperpapersinjournals, specialissuepublication, multidisciplinaryjournal

Deep Unified Model for Intrusion Detection Based on Convolutional Neural Network

Indian army has always been subject to military attacks from neighbouring countries. Despite many surveillance devices and border security forces, the enemy finds a way to infiltrate deep into our borders. This is mainly because even now the surveillance in India is largely human assisted. Therefore this automated surveillance can authenticate the authorized persons and alert everyone when an enemy intrusion is detected. In this, we proposed an automated surveillance system that tackles the predicament of recognition of faces subject to different real time scenarios. This model incorporates a camera that captures the input image, an algorithm to detect a face from the input image, recognize the face using a convolution neural network along with transfer learning method, and verifies the detected person. The authorized person’s name and details are stored in CSV format and then into the database. In case of any unauthorized persons face is detected the image of the intruder along with time is stored in the database and warning signal is also given to alert the surrounding members in case of intrusion detection. 

by Dhanu Shree D | Fouzia Fathima A | Madhumita B | Akila G | Thulasiram S "Deep Unified Model for Intrusion Detection Based on Convolutional Neural Network" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd39976.pdf 

Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/39976/deep-unified-model-for-intrusion-detection-based-on-convolutional-neural-network/dhanu-shree-d

callforpapermedicalscience, medicalsciencejournal, 

Adaptive and Personalized Fitness App

Project delivery is a robust application called the ADAPTATION and PERSONALIZED FITNESS APP. which will provide three main modules for users to use. First, users can do exercise wherever they like by using the Exercise section where it contains different types of exercises and exercises that can help them and help them live a healthier life.However, a healthy lifestyle cannot be done entirely with exercise because the role of diet is also very important. Users will be able to keep track of what they have eaten and eat the right foods by looking at the statistics related to their bodies in the diet category. Finally, users can do yoga at home.Basically, all of the above activities are intended to help users stay away from serious illnesses so that they can enjoy a healthier life with their loved ones. For a clearer picture of fitness apps, there is a fitness app updated for this project which is Runtastic Running and Fitness. Therefore, the life cycle model of repetition and multiplication is adopted in this project in order to determine the feasibility. Few needs cycles, design and implementation phases will pass while other features will be added to the application up to the project. 

by Mayank Sharma Dixit | Mohammad Shad | Arman Tyagi | Abdul Qadir | Mr. Dev Baloni "Adaptive & Personalized Fitness App" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd42460.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42460/adaptive-and-personalized-fitness-app/mayank-sharma-dixit

callforpapermedicalscience, medicalsciencejournal

Covid 19 Prediction in India using Machine Learning

Various computational models are used around the world to predict the number of infected individuals and the death rate of the COVID 19 outbreak 3 . Machine learning based models are important to take proper actions. Due to the ample of uncertainty and crucial data, the aerodynamic models have been challenged regarding higher accuracy for long term prediction of this disease 1 . By researching the COVID19 problem, it is observed that lockdown and isolation are important techniques for preventing the spread of COVID 19 2 . In India, public health and the economical condition are impacted by COVID 19, our goal is to visualize the spread of this disease 5 . Machine Learning Algorithms are used in various applications for detecting adverse risk factors. Three ML algorithms we are using that is Logistic Regression LR , Support Vector Machine SVM , and Random Forest Classifier RFC . These machine learning models are predicting the total number of recovered patients as per the date of each state in India 8 . 

by Sarfraj Alam | Vipul Kumar | Sweta Singh | Sweta Joshi | Madhu Kirola "Covid-19 Prediction in India using Machine Learning" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd42458.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42458/covid19-prediction-in-india-using-machine-learning/sarfraj-alam

callforpapercommerce, ugcapprovedjournalsincommerce, commercejournal

Research Paper on Food Recognition

Understanding food from digital media has become a difficult task with significant applications in a variety of fields. Food, on the other hand, is an essential part of human life because diet has a direct impact on ones health.In this paper, we present a food recognition application which can recognize various types of food items. With this feature, the application can easily help users to recognize the food item in various restaurants. Our application uses React JS for the front end and Node JS for the backend. 

by Neha Patel | Akanksha Bhatt "Research Paper on Food Recognition" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd42457.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42457/research-paper-on-food-recognition/neha-patel

callforpaperchemistry, chemistryjournal, openaccessjournalofchemistry 

The Results of the Final Engineering and Geological Studies of the Mass of Lyoss Grits

The results of investigation of morphological, retrospective and prognoses engineering geological tasks concerning loess soils massifs are formulated. The main result of solution of retrospective engineering geological tasks is the proposal of hypothesizes and mechanisms of loess soils subsidence formation. They are the base for four special and general theory of subsidence formation.The result of solution of prognoses engineering geological tasks is the elaboration of methods for calculation the expected subsidence of loess soils massifs under different mode of their wetting and the development of different methods hydrogeomechanical, geochemical, geotechnical and complex of improvement of loess soils massifs properties. 

by J. Ravshanov "The Results of the Final Engineering and Geological Studies of the Mass of Lyoss Grits" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Development of Modern Research , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd41140.pdf

Paper URL : https://www.ijtsrd.com/engineering/geological-engineering/41140/the-results-of-the-final-engineering-and-geological-studies-of-the-mass-of-lyoss-grits/j-ravshanov

internationaljournalofscience, openaccessjournalofscience, ugcapprovedjournalsforscience