Engineering Journal

Sunday, April 11, 2021

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"

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"

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

Saturday, April 10, 2021

Study of the Degree of Lightning and Filterability of a Suspension

The article examines the filtration process of zinc chloride released as a result of the reaction. The degree of filtration and the method of its separation were studied. The degree of filtration is determined at different speeds, temperatures.

by Rosilov Mansur Sirgievich "Study of the Degree of Lightning and Filterability of a Suspension"

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/ijtsrd39934.pdf

Paper URL: https://www.ijtsrd.com/engineering/mineral-and-metallurgical-engineering/39934/study-of-the-degree-of-lightning-and-filterability-of-a-suspension/rosilov-mansur-sirgievich

callforpaperchemistry, chemistryjournal, openaccessjournalofchemistry

An Android Application on AITR Management and Bus Tracking System

An ARMA is an Android based app that tracks a variety of student activities such as online E Book availability, real time bus monitoring, Covid 19 case information, Note alerts, college feedback, and events. The app accurately pinpoints the current position using the GPS feature, which is available on most smart phones today. The bus driver will update the bus location on the server, and students will then use GPS to locate the bus on a map. As a college information system, this software can be used. For a given client or member of staff. It is based on the firebase online database system. ARMA uses Firebase Authentication to provide secure Login Signup features for various modules.