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published paper with us

COVID-19 Detection using SVM Classifier

title COVID-19 Detection using SVM Classifier Rohith N Reddy Biomedical Engineer, Product Engineering, Panacea Medical Technologies Bengaluru, INDIA rohithnreddy12345@gmail.com Abstract—Viral lung disorders are increasing day by day throughout the globe.Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 is the main cause for Coronavirus Disease (COVID-19) pandemic. The disease is contagious during close contact and via respiratory

COVID-19 Database on Consortium Blockchain

Swapnil Kole swapnilkole7500@gmail.com IIIT BHUBANESHWAR Abstract: In the world where everyone is fear struck on the on-going pandemic COVID-19. There are hundreds of patients in India admitted for COVID-19. What about the patients’ data? It is getting stored in a centralized database and many people are updating it [Crowd-sourced]. These may be data manipulation or

Accident Detection and Avoidance System in Vehicles

Accident Detection and Avoidance System in Vehicles 1TejalLengare, 2PallaviSonawane, 3PrachiGunjal, 4ShubhamDhire, 5Prof.Shaikh.J.N 1,2,3,4 Student, 5Faculty ,Computer Department, JSPM BSP, Wagholi, India tejallengare999@gmail.com1, pallavi148085@gmail.com2, prachigunjal2001@gmail.com3, dhireshubham9921@gmail.com4,jareenasshaikh@gmail.com5 ABSTRACT: To avoid collision we need to calculate distance between obstacle and vehicle and sending alert to user, for this purpose ultrasonic sensor is use. Propose system will be useful

augmented reality survey

augmented reality survey Augmented Reality: to converting and placing object into 3D model AUGMENTED REALITY: TO CONVERTING AND PLACING OBJECT INTO 3D MODEL 1]Abhishek Pawshekar,2] Deepti More,3] Akash Khade,4]Pratiksha Wagh, Mr. prof Ganesh Ubale Diploma Student, Department Of Computer Engineering,JSPM’s, Wagholi, Pune,Maharashtra,India. Guide:-Mr Ganesh Ubale Abstract:- Augmented reality (AR) is an interactive experience of a

IOT based Bridge Monitoring System-2

IOT based Bridge Monitoring System Prof.Ubale.G.S1, PranjalAdhav2 ,Pooja Gaikwad3 ,Sushama Nadavade4, Pooja Kale5. Dept. of Computer Engg, Bhivrabai Sawant Polytechnic wagholi, Pune, India. ABSTRACT: Bridge monitoring system is significant to health diagnosis of bridges and flyovers. This report is proposed and developed a novel architecture for large span bridge monitoring. A 3-level distributed structure is

4G-fourth generation wireless technology

abstract Wireless telecommunication history can be classified into different generations of network. Each generation has been a giant stride which revolutionized the field of mobile communication: First generation (1G) in 1980 where

usb-3.0-white-paper

USB 3.0 – A Cost Effective High Bandwidth Solution for FPGA Host Interface Author: numato.com Company details: Numato Systems, LLC 7710 N. Union Blvd #100K Colorado Springs, CO 80920, USA www.numato.com Introduction The USB 3.0 has revolutionized the world of desktops and mobile devices by bringing much higher bandwidth and better power delivery compared to

moisture content detection

MOISTURE CONTENT DETECTION OF RICE GRAIN BASED ON OVEN DRYING TECHNIQUE USING A CIRCULAR MICROSTRIP PATCH SENSOR

rfid based metro train

Radio Frequency Identification (RFID) technology already plays a major role in many areas. In business applications, for example, the idea of exact position of coach with RFID technology has been around for some time now, especially for retailing. Current solutions, however, are designed to only identify coach of a particular train which is sufficient for

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HYBRID-ENERGY-STORAGE-SYSTEM-SCHEMES-FOR-POWER-SYSTEM-APPLICATION

A REVIEW OF BATTERY-SUPERCAPACITOR HYBRID ENERGY STORAGE SYSTEM SCHEMES FOR POWER SYSTEM APPLICATION Divya Deewan#1, Priyanka Maheshwari#2 , Sanjay Jain#3 #1M.tech scholar, #2Assistant professor,#3 HOD, Sri Satya Sai College of Engineering Department Bhopal M.P. India #1divya.diwan55@gmail.com #2priyankabits4@gmail.com #3jain.san12@gmail.com Abstract — The paper discusses typical hybrid Energy storage applications in power systems, Such as frequency and

how to write research paper

It is easy,fun and enjoyable, All of us might have written essays during school days, Research paper is little bit bigger version of more pages, includes the results and conclusion. Other names for research paper are project report / dissertation phd thesis. We assume that you had already finished your research work and want to

4G-fourth generation wireless technology

abstract Wireless telecommunication history can be classified into different generations of network. Each generation has been a giant stride which revolutionized the field of mobile communication: First generation (1G) in 1980 where

usb-3.0-white-paper

USB 3.0 – A Cost Effective High Bandwidth Solution for FPGA Host Interface Author: numato.com Company details: Numato Systems, LLC 7710 N. Union Blvd #100K Colorado Springs, CO 80920, USA www.numato.com Introduction The USB 3.0 has revolutionized the world of desktops and mobile devices by bringing much higher bandwidth and better power delivery compared to

moisture content detection

MOISTURE CONTENT DETECTION OF RICE GRAIN BASED ON OVEN DRYING TECHNIQUE USING A CIRCULAR MICROSTRIP PATCH SENSOR

rfid based metro train

Radio Frequency Identification (RFID) technology already plays a major role in many areas. In business applications, for example, the idea of exact position of coach with RFID technology has been around for some time now, especially for retailing. Current solutions, however, are designed to only identify coach of a particular train which is sufficient for

Machine Learning-Fake News Blocking



Machine Learning: Fake News Blocking

Harshvardhan Singh
Department of Engineering and Technology,
SRM Institute of Science and Technology, Kattankulathur,
Kancheepuram Dist., India, 603203
e-mail: hs7805@srmist.edu.in

Abstract In this paper, the applications of Natural Language Processing techniques are explored to identify when a news source may be producing fake news. For which, a corpus of labelled real and fake news articles is used to build a classifier that can make decisions about information based on the content from the corpus. Here I use a text classification approach, using four different classification models, and analyse the results. The best performing model is the LSTM implementation. The model focuses on identifying fake news sources, based on multiple articles originating from a source. Once a source is labelled as a producer of fake news, it could be predicted with high confidence that any future articles from that source would also be fake news. Focusing on sources widens our article misclassification tolerance, because we then have multiple data points coming from each source.

Keywords Feature extraction, Pre-processing, Naive Bayes, Support Vector Machine, Feed-forward Neural Network, Long Short-Term Memory, Confusion matrix

Introduction Fake news, defined as a made-up story with an intention to deceive, has been widely cited as a contributing factor to the outcome of the 2020 United States presidential election. While Mark Zuckerberg, Facebook’s CEO, made a public statement denying that Facebook had an effect on the outcome of the election, Facebook and other online media outlets have begun to develop strategies for identifying fake news and mitigating its spread. Zuckerberg admitted identifying fake news is difficult, writing, “This is an area where I believe we must proceed very carefully though. Identifying the truth is complicated.” Fake news is increasingly becoming a menace to our society. It is typically generated for commercial interests to attract viewers and collect advertising revenue. However, people and groups with potentially malicious agendas have been known to initiate fake news in order to influence events and policies around the world. It is also believed that circulation of fake news had material impact on the outcome of the 2016 US Presidential Election.

Data The datasets used for this project were drawn from Kaggle. The training dataset has about 16600 rows of data from various articles on the internet. Quite a bit of pre-processing of the data had to be done, as is evident from our source code, in order to train our models.

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SERVERS ROOM MONITORING SYSTEM USING IOT


SERVERS ROOM MONITORING SYSTEM USING IOT

M.Al Batahari
Department of Computing and Informatics, Muscat, Sultanate of Oman
Mazoon College (affiliated with Missouri University of Science and Technology (USA)
and Purdue University Northwest (USA).
albatahari@gmail.com

ABSTRACT- The IoT is going to change the computer network for next coming years it is becoming increase in the life of human and machines works. IoT devices corporate with energy consuming devices like switches, bulbs, TVs smart phone, etc. by connecting with each other as a machine to machine (M2M) to implement a specific job or a result. With the availabilities of open-source programming and the cheap consume devices will give more opportunities to normal people to use these services to change daily life, relations, geographic location, and communications. Many technologies devices and applications available for users to use and to develop the ideas, or create new services, from TINI OS, Raspberry PI, Arduino, and others, from these small kits with the studies plan and designed implementations, everyone can do his project which might become used in worldwide, or to improve your local area from your home to your workplace to society and your city. In this project, we will use a sensor to measure the humidity and temperature of a server room, and then send SMS and emails to administrator that the measurement reach to a dangerous level, which also give an option to the system to switch off all devices, connected in this room

INTRODUCTION
Server room is a very important place because of server location and data center, therefore the condition of this room must always protected from temperature and humidity, it has air-condition which is maintain air temperature, but if there is a damage in air-condition it will increase room temperature which also lead to increase humidity , also when main power source is off which could be diverted to UPS and battery becoming low or empty, therefore there is a need of additional tools to provide warning information regarding server room temperature, that is why we are going to IoT and sensors to provide the active solution to keep data and devices in this room safely.

servers-room-monitoring-system-using-iot
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@ engpaper.com published paper

virtual master using python


VIRTUAL MASTER USING PYTHON
NAME- AYUSHI ANKITA RAKSHIT
DEPT. OF ELECTRONICS AND COMMUNICATION ENGINEERING,
ASANSOL ENGINEERING COLLEGE, WEST BENGAL, INDIA.
Email: – ayushiarakshit @gmail.com

ABSTRACT
Virtual Master is a virtual assistant or a software agent like ‘Ok Google’, ‘Hi Alexa’ or ‘Hello Siri’ who can understand natural language voice commands and complete the specified task for the user. This paper is a technical brief on Virtual Master and its applications. Major modules needed for this Virtual Master are also described.

CONTENT
A Virtual Master can tell the current date, current time, responds back with a random greeting, can returns information on a person and many more things. To perform these tasks, Virtual Master must have three basic skills:
1. Word Processing Skill
2. Good Oral communication
3. Quick thinking and effective decision making
This is really an interesting thing and it is possible using Python, because Python offers a good major library. Using Python version 3.9.0 and PyCharm IDE commands will be given to the system.

virtual-master-using-python
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@ engpaper.com published paper

REAL TIME SLEEP DROWSINESS DETECTION USING FACE RECOGNITION


title
REAL TIME SLEEP/ DROWSINESS DETECTION USING FACE RECOGNITION

Author:

BALDEEP KAUR
DEPARTMENT OF COMPUTER SCIENCE ENGINEERING
SANT BABA BHAG SINGH UNIVERSITY, PHAGWARA
baldeepjakhu@gmail.com

ABSTRACT
Drowsiness Detection is favorite topic of researchers in recent years because it is cause of many road accidents. It can also help in detecting the need of rest. When drivers drive for long time then they feel fatigue which can effect on their driving and can cause of death and injury in road accidents. The reason of fatigue can be long drive, feeling sick, headache, drink and drugs etc.
This research will play an important role in driver’s life and can save their life. In this paper, I introduced an Android application which can detect the drowsiness state, normal state and number of times eye blinking. This application will alert the driver in drowsy state and can save the driver‘s life. The application will give the information of five things: percentage of normal state, drowsy state, number of times eye blinking, number of times yawning and number of frame captured by application camera. It will take login information and then give the information and alert the driver when he is in drowsy state.

Keyword: Drowsiness, Machine Learning, Android Application.

INTRODUCTION

Drowsiness is a kind of fatigue. When driver is in sleepy state then they lose the control of vehicle which can cause of dangerous accident. The main idea behind this research is to find the drowsy state of person and will alert the person time-to-time. The main reason behind the sleepy state can be fatigue of long drive, feeling sick, headache, drink and drugs etc. There are so many road accidents happened in every year and the main reason of these accidents are fatigue. So, it becomes mandatory to make system or applications like this which can alert the driver.
To avoid the road accidents by drowsiness, I introduced an Android application in this research paper. There are so many researches on drowsiness detection which I discussed in literature review. This application is mainly for drivers and can be used by everyone. This application will provide accurate and fast results. The machine Learning is used to make this research successful.
The paper has four sections. The 2 section is about literature review which discusses the recent research paper on this topic. The 3 section discuss methodology and proposed algorithm. Section 4 describes the conclusion and future work.

real-time-sleep-drowsiness-detection-using-face-recognition
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Address:
Baldeep Kaur
Department of Computer Science & Engineering
Sant Baba Bhag Singh University
Phagwara