Mail Id Research Articles

Electronic Attendance Recorder and Confirmation System Using Facial Identification Modules in Python

Abstract: The following paper demonstrates about a project that is basically an automated pre-programmed attendance management system. The system implements various image processing libraries/modules of the Python programming language. The main dependency is the face_recognition library, contributed by Adam Geitgey. The other dependencies used here are openCV, xlsxwriter, dlib, datetime, numpy and smtp service. This system analyzes camera roll frame by frame, looks for the known faces if found any, records the corresponding name and the time of detection. An email is sent to that person confirming the attendance with a mail id to report any unusual activities. After the system closes, the attendance details (name and first detection time) is saved in an excel sheet. Keywords: Attendance system, face recognition, facial identification modules, python, opencv, email service using python

AI Based Smart High Way with Green Energy Resources Using IoT Devices

Abstract: The Worldwide concern to mitigate the soaring energy crisis introduces us to the small-scale renewable energy generation as a preferred enabling source for highway lighting. Production of renewable energy from highways using solar tracking panel can be utilized in various applications. In this project we use solar panels to generate renewable energy which can be stored in lithium batteries. The IOT monitoring system in interfaced with Adafruit software which is used to check the pollution and stores the daily utilization in cloud. The SOS alarm is used along with the device to indicate the accident occurred in remote areas to the nearby toll gate. SOS message will send IFTTT to the domain mail ID toll gate. This prototype uses Node MCU for controlling application and database monitoring. In future the project can be extended by implementing other renewable resources like wind energy. Keywords: Sos alarm, Solar tracking panel, Adafruit, Mcu , Renewable enegry.

Smart Waste Management System for Hygiene Environment

Waste management is one of the serious challenges of the cities .The system now used in cities, continue to use an old and outmoded paradigm. Spilled waste containers giving off irritating smell causing serious health issues and atmosphere impairment. The Smart Waste Management System will simplify the existing serious scenarios. The Main objective of the project is to acquire user information regarding garbage disposal. Here we introduced Loyalty card Tracking system which the process where the information of the Registered user can be displayed through the php. Loyalty card is accessed by the RFID scanner .Through this process we can obtained details of registered user like Name, Mail id, Phone number, Gender. This will surely fetch a solution for the persons who handle our living environment without public care. Sorting of waste properly will help us to reuse and produce sufficient profit for the society.

Breaking The Chain Of Transmission Of Covid-19 By Social Distancing

While the virus's intermediate point of origin and spread to humans is unknown, it has been shown that it is capable of rapid human-to-human transmission. The virus was primarily transmitted from person to person by physical interaction. Coughing, sneezing, and laughing cause droplets. Fever, chills, cough, sore throat, breathing difficulties, myalgia or fatigue, nausea, vomiting, and diarrhoea are common signs of COVID-19 infection. Cardiovascular damage, respiratory failure, acute respiratory distress syndrome, and even death may occur in severe situations. AIM: Breaking the chain of transmission of COVID-19 by Social Distancing MATERIAL AND METHOD: A primary research study has been done using an online questionnaire created using Google form. An observation study design has been used. The respondents were sent a survey of three questions including consent forms to participants in survey, using mail ID’s and social media platforms. The material required for the review was taken from the databases of PubMed, Web of science, the from the website of World Health Organization, International diabetes federation and the patients data of SMHRC and DMMC Wanadongari Nagpur.

SMART E-CRADLE USING RASPBERRY PI

This paper presents an idea to design a smart E-cradle which will help the parents to monitor & detect every activity of their baby even if they are away from home. In order to detect each & every activity of baby, different sensors are attached to the cradle: temperature sensing module for detection of temperature of a baby, BPM sensor to measure the BPM of the baby, a camera on top of the cradle for live video footage, sound sensor to detect the crying condition of baby and soil moisture sensor to detect whether baby huggies is wet or dry. If any abnormal condition will be detected then mail and message will be sent automatically to the registered mail id and phone number. When baby is in crying condition, if the sound level is more than the given threshold level then the cradle will swing automatically.

LETSCHAT - A Dynamic Web Application

Use of social media increasing day by day in 21st century social media plays key role for this generation every are aware of this social media . not even young guys but old peoples also enjoying social media .Day by day new type of social media app are launching there are lots of social media apps . most used apps are facebook , Instagram , twitter etc. By taking idea from this we also developing a web application “ letschat” this application is for peoples of particular institution peoples those are in same institution having particular institution mail id only these person are able to create and use this application. The project “LETSCHAT ”is a web based application. This project is based on angular 8. This software is for Galogotias university student. For creating account Students can use galgotias university mail id only no other mail id will work to create account in this application. Through this application students can interact with each students. Students also can share post with each other. In this we are going to use angular 8 concept.

The regulation of CD47-SIRPα signaling axis by microRNAs in combination with conventional cytotoxic drugs together with the help of nano-delivery: a choice for therapy?

CD47, a member of the immunoglobulin superfamily, is an important "Don't Eat-Me" signal in phagocytosis process [clearance of apoptotic cells] as well as a regulator of the adaptive immune response. The lower level of CD47 on the cell surface leads to the clearance of apoptotic cells. Dysregulation of CD47 plays a critical role in the development of disorders, particularly cancers. In cancers, recognition of CD47 overexpression on the surface of cancer cells by its receptor, SIRPα on the phagocytic cells, inhibits phagocytosis of cancer cells. Thus, blocking of CD47-SIRPα signaling axis might be as a promising therapeutic target, which promotes phagocytosis of cancer cells, antigen-presenting cell function as well as adaptive T cell-mediated anti-cancer immunity. In this respect, it has been reported that CD47 expression can be regulated by microRNAs (miRNAs). MiRNAs can regulate phagocytosis of macrophages apoptotic process, drug resistance, relapse of disease, radio-sensitivity, and suppress cell proliferation, migration, and invasion through post-transcriptional regulation of CD47-SIRPα signaling axis. Moreover, the regulation of CD47 expression by miRNAs and combination with conventional cytotoxic drugs together with the help of nano-delivery represent a valuable opportunity for effective cancer treatment. In this review, we review studies that evaluate the role of miRNAs in the regulation of CD47-SIRPα in disorders to achieve a novel preventive, diagnostic, and therapeutic strategy.Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Also, kindly confirm the details in the metadata are correct. Confirmed.Journal standard instruction requires a structured abstract; however, none was provided. Please supply an Abstract with subsections..Not confirmed. This is a review article. According to submission guidelines: "The abstract should be presented divided into subheadings (unless it is a mini or full review article)". Kindly check and confirm whether the corresponding authors and mail ID are correctly identified. Confirmed.

E-Cards Download

This “E-Card Downloading application” is to design and develop for well secured dynamic application used for easy retrieval of necessary cards. Issued in the form of a standardized application, which includes the details like Driving license, Voter Id, Ration Card and Aadhar Card. Sometimes we come across the need of submitting or to show the proof of hardware copy of cards at this time this e-card application which is an safest application used for downloading cards of our necessary. This application also contains OTP generation in which the otp is send to the registered mail id so that we can protect our details from others.

Achieving situational awareness of drug cartels with geolocated social media

Using geolocated tweets to achieve situational awareness is an often researched topic in disaster and emergency management. However, little has been done in the area of drug cartels, which, as transnational crime organizations, continue to pose great risk to the stability and safety of our communities. This paper made an initial effort in using geolocated social media (specifically Twitter) to achieve situational awareness of drug cartels through temporal and spatial analysis of derived named entity clusters. The results show that detecting peaks in the time series of frequently occurring entity clusters enabled the tracking of important events in public discourse surrounding drug cartels. Correlations between time series also provided valuable insights into the synchronicity between different events. Further examining the spatial distribution of key events for different countries, we identify thematic hotpots of public discourse on cartel activity. Our methodology also addresses issues of language ambiguity when working with noisy social media data in order to achieve situational awareness on drug cartels.Please check and confirm the city name is correctly identified in affiliations 1 and 2.confirmedPlease check and confirm the corresponding author and mail ID is correctly identified.confirmed

Virtual Brain:Model-Based Framework for Dependable EEG Sensing and Actuation in Intelligent Brain IOT System

Real-time Brain IoT Systems are costly. But, developing a cheaper system has been accelerated greatly by the better research that is being done on Virtual Brain. The death of an important person on a secret mission is consider sensitive information and must be handled with as much security as possible. By ensuring this discreteness, the time taken for the message of their death to reach the relevant authority is increased to up to a few days. The time taken to deliver the message is too much. These days, the improvements in hardware increasing the abilities of the Virtual brain and of the wearable Brain IoT sensors have made the development of numerous new software frameworks possible for the developers to create useful applications that combine the human brain with IoT. Multiple sensory pathways are also enabled for communications of the human brain with larger sized data.The main aim of this project is to upload confidential documents onto the clouds securely as possible. Knowledge on how every individual thinks and recalls memory is found by the Virtual cerebrum undertaking. Both of the mentioned fields have been accelerated greatly in terms of development by these researches. This will in turn drive the need of an energy-efficient technology that supports the wider demands of the IoT. The brain activity extraction in IoT has been surveyed thoroughly in this project. This includes IoT models based on Electroencephalogram (EEG), machine learning and the current active platforms. The main findings of our survey highlights three major trends of development in the virtual brain development system, viz, IoT, EEGand cloud computing.Since the human body has a the low frequency range of 7Hz or below 7Hz, it cannot be detected by the EEG sensor. So, the wearable EEG sensor has a band that goes around the head. Once the individual is dead, the confidential information that is securely stored in the cloud can be sent to the mail id that was pre-registered by the user without any delay. This system is very time efficient.

EVALUATION OF UTILIZATION & FACTORS AFFECTING UTILIZATION OF NEONATAL RESUSCITATION PROGRAM (NRP) AMONG THE NURSES

Introduction:The child age and newborn death rate lower down substantially in the last 10 years.Still if we see the death rate of new born is at top.We are losing roughly three out of two newborns every year in first four week of their life therefore, initial time in newborns transition very crucial in survival of newborns specially those who are birth asphyxiated. Purposes: Overall resolution of this research is to recognize an “Utilization, means, effective use of workshop in the professional career” among the nurses working in various healthcare establishment and factors affecting poor utilization therefore,it will help to develop any new measures or modify current workshop protocols study was conceptualized based on The health promotion model presented by Nola J Pender (1982, revised 1996).Materials & methods:This is cross-sectional study used Quantitative research approach,to identify the utilization and association between Personal profile of nurses & Utilization of the NRP Training Programme. Non-experimental cross – sectional research and Exploratory survey design was used where entire tool was made in Google form and send to participants mail id. study was conducted in different national healthcare establishments. The population under this study are registered nurses working in selected healthcare establishments. samples are Staff Nurses working in different Health establishments. Sample size was 278 nurses was taken from a Actual population, 300 nurses was Selected and administrated the tool and 1000 nurses was a Target population.Purposive Sampling technique was used.Tool contains Part 1 for Questionnaire for Socio-demographic assessment. Part 2 for Structured Questionnaire Utilization of NRP training Programme. The reliability of a tool was conducted for the degree of steadiness with which it measures the qualities it is supposed to quantify, Cronbach alpha (r = 0.91), split half correlation (0.90), Spearman-brown prophecy (0.94), Mean for test (81.7) & SD for test is 18.83. Pretesting was done 30 samples to establish the clearness of items, considerate of the linguistic and period required to ample the item. Pilot testing was conducted on nurses of different health establishments on for 30 participants. Administrative permission was obtained from NRP President Main study collected on 278 samples Proceeds for Data Analysis (Descriptive & Inferential) as per objectives. Conclusion: The study concluded with finding Association between utilization with selected Socio-demographic (Personal profile) where Age and primary education of the participants came significant results and Participants exposure to related work area after or before NRP training are associated with the utilization NRP skills.

Self-Reported Morbidities Among Software Professionals – A Cross-Sectional Study

Background: In the modern era, persons working in software companies are increasing, and there is an emergence of computer-related health problems. Objectives: The aim of this study is to estimate the prevalence of various morbidities among software professionals and to assess the factors associated with these problems. Materials and Methods: A cross-sectional study of 4 months from March 2016 to June 2016 was conducted among software professionals. Two hundred and sixty software professionals in the current job for the past 1 year were included in the study. A Google form was created through Google drive of the primary investigator. The E-mail id of persons working in software companies was collected through friends, relatives, and Internet. One person can send one response option was selected. The Google form was sent to their mail id with a request to forward the Google form to their contacts working in software. Results: Among the study participants, 53.8% of persons feel they were having health problems due to prolonged computer use. More than 70% had visual problems such as eye pain, eye strain, eye redness, blurring of vision, or watery eyes. It was observed, 63% of software professionals had some type of musculoskeletal problems. About 40% had headaches frequently and 47% had gastrointestinal problems. About 67.7% feel stressed due to their prolonged work and 35% feel depressed. A significant association was found between participants with visual and musculoskeletal complaints using antiglare screen and soft keypads and those not using, respectively. Conclusion: Ocular discomfort, musculoskeletal disorders, and psychosocial problems were main health problems among constant computer users which needs urgent intervention.

ASSOCIATION BETWEEN UTILIZATION OF NEONATAL RESUSCITATION PROGRAM (NRP) & PERSONAL PROFILE OF NURSES

INTRODUCTION:The child age and newborn death rate lower down substantially in the last 10 years. Still if we see the death rate of new born is at top. We are losing roughly three out of two newborns every year in rst four week of their life therefore, initial time in newborns transition very crucial in survival of newborns specially those who are birth asphyxiated. Purposes: Overall resolution of this research is to recognize an “Utilization, means, effective use of workshop in the professional career” among the nurses working in various healthcare establishment and factors affecting poor utilization therefore, it will help to develop any new measures or modify current workshop protocols study was conceptualized based on The health promotion model presented by Nola J Pender (1982, revised 1996). Materials & methods: This is crosssectional study used Quantitative research approach, to identify the utilization and association between Personal prole of nurses & Utilization of the NRPTraining Programme. Non-experimental cross – sectional research and Exploratory survey design was used where entire tool was made in Google form and send to participants mail id. study was conducted in different national healthcare establishments. The population under this study are registered nurses working in selected healthcare establishments. samples are Staff Nurses working in different Health establishments. Sample size was 278 nurses was taken from a Actual population, 300 nurses was Selected and administrated the tool and 1000 nurses was a Target population. Purposive Sampling technique was used. Tool contains Part 1 for Questionnaire for Socio-demographic assessment. Part 2 for Structured Questionnaire Utilization of NRPtraining Programme. The reliability of a tool was conducted for the degree of steadiness with which it measures the qualities it is supposed to quantify, Cronbach alpha (r = 0.91), split half correlation (0.90), Spearman-brown prophecy (0.94), Mean for test (81.7) & SD for test is 18.83. Pretesting was done 30 samples to establish the clearness of items, considerate of the linguistic and period required to ample the item. Pilot testing was conducted on nurses of different health establishments on for 30 participants. Administrative permission was obtained from NRP President Main study collected on 278 samples Proceeds for Data Analysis (Descriptive & Inferential) as per objectives. Conclusion: The study concluded with nding Association between utilization with selected Socio-demographic (Personal prole) where Age and primary education of the participants came signicant results and Participants exposure to related work area after or before NRP training are associated with the utilization NRPskills.

Digitalization of Palliative Care

Digitalization of Palliative Care is the way of digitalizing the system of palliative care through an web application. Palliative care is the system which provides medical care to the patients in their respective home or venue when they make an appointment to a doctor. This web application mainly focuses on three main treatments such as End of life care, Symptoms management and Emergency care. Initially the patient opens the web app in his browser and is allowed to select the services which is necessary to cure his disease. Then the patient chooses a particular doctor who is specialized in the treatment of the particular disease. After these steps the patient has to mention his mail id, venue and a preferrable timing for consulting with the particular doctor which he has already selected. After completion of all the above steps a confirmation mail is sent to the patient and the doctor instantly and then the consulting takes place in the selected date and timings of the patient in his mentioned venue. In case when the doctor declines the consultation date or the timing of the patient then a refusal mail is sent to the patient. This process handles the patient requiring intensive care and end of life care effectively. The probability of handling symptoms management and curing the disease is very high. The patients can also mention their queries and their feedback after consulting the doctor through this web application

Automation System Software Assisting Educational Institutes for Attendance, Fee Dues, Report Generation Through Email and Mobile Phone Using Face Recognition

To keep track of a student in all aspects which starts from entering into an institution to completion of his/her course one has to maintain a system which provides all his details by just recognizing the face. The traditional attendance system in institutes follows the paper based method which involves lot of time wasting, wrong posting of attendance and chance of losing the register due to misplacement of registers and making the system unsuccessful. This work has been examined effectively planned and implemented by using face recognition system that automatically captures the students present in the classroom and post the attendance automatically and also shows the fee due details and a student can get the report by sending a email to the automated system mail id within few seconds. One can get the attendance report generated for a particular student based on identifying the students roll number and for faculty members the system will generate the entire class report through mail based on request. Developed a software assisting for educational institutions to post the students attendance either through capturing their face or taking video through mobile phones. The performance of the system shows good results in accuracy for identifying the face recognition in a group of students with less time taken for recognition and updation.

Implementation of all-optical ripple down counter using the micro-ring resonator structures

Micro-ring resonator (MRR)-based switching is one of the promising technologies in modern optical signal processing and optical computing. In this paper, we present a scheme of all-optical 2-bit ripple down counter, using the MRR-based all-optical switching activity. The proposed mechanism shows the generation of all-optical two bits ripple down sequences without any involvement of electrical pumping. The optical pumping shows one of the innovative ways to overcome the complexity associated with electrical pumping. The paper includes the detailed mathematical analysis of all-optical switches in the form of a micro-ring resonator structure. We proposed four cascaded micro-ring resonator structures representing all-optical ripple down counters, and numerical simulation is presented with some additional analysis. The proposed design is simple and may be helpful for all-optical signal processing and logical computation.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Given name: [Sumit Kumar] Last name [Jindal]. Also, kindly confirm the details in the metadata are correct.It is OKAuthor details: Kindly check and confirm whether the corresponding author and mail ID are correctly identified.ok

Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.• Type of peer review: Double-blind Conference submission management system: Through mail id • Number of submissions received: 104 • Number of submissions sent for review: 98 • Number of submissions accepted: 59 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 60.20% • Average number of reviews per paper: 2 • Total number of reviewers involved: 49 • Any additional info on review process: Contact person for queries: Dr. Kasi KamalakkannanCEOArunai International Research FoundationTiruvannamalaiIndia.E-mail: directorairf1@gmail.com Mobile: +91 9443814158

A Virtual Cloud based Brain Connectivity Analysis Using Iot (Internet of Things)

The confidential and secure information of the user’s death storage cannot reach to the particular person or it takes minimum a day or hours to back up all the messages and information. There is lack of time efficiency to reveal all the messages. Here introducing a new concept called BCI (Brain Computer Interface) which is used to connect the human brain and computer. Since it is a BCI technique it consists of both hardware and software. In hardware the major role plays by EEG (Electroenceplogram) sensor, it is to check whether the brain is active or not. On the software side, the cloud is created for storing the information. An individual who want to share the information to his/her favorite or particular person can type the message and save the information in the cloud with his/her mail id and phone number which an individual want to convey. The wearable sensor have to wear like a band, as it may not affect the human brain or human body since it has the low frequency range of 7Hz or below 7Hz. Once the individual is death the stored information in the cloud can sent to that registered mail id and phone number without any delay. The time efficiency is very fast.

Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind The manuscripts received were checked first by the editors whether the papers were in the scope of the conference. The papers were then checked for plagiarism. Two reviewers were assigned for each paper and all papers have been peer reviewed through process managed by the proceedings Editors. Reviews were conducted by subject experts with proficient and scientific standards as expected and guidelines given by IOP Publishing. The final revised paper was scrutinized by Editors for format checking. • Conference submission management system: Easy chair / Conference Mail id www.ifet.ac.in/RASCC2020https://easychair.org/account/signin?l=SlbH4kYBnc25q5RnM7brVT# rassacc2020@gmail.com • Number of submissions received: 121 • Number of submissions sent for review: 121 • Number of submissions accepted: 72 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 59 % (72/121) x 100 • Average number of reviews per paper: 2 • Total number of reviewers involved: 12 • Any additional info on review process: All papers are plagiarism checked using Plagiarism Detector. The manuscripts have been reviewed following the international journal procedures. Contact person for queries: Dr.J.VidhyaAssociate Professor, ECEIFET College of EngineeringVillupuram, Tamilnadu, INDIAEmail: vidhyaja@gmail.com

Peer review declaration

All papers published in this volume of IOP Conference Series: Materials Science and Engineerin have been peer reviewed through processes administered by the Editors. Reviews wer conducted by expert referees to the professional and scientific standards expected of proceedings journal published by IOP Publishing. • Type of peer review: Double-blind • Conference submission management system: Easy Chair • Number of submissions received: 63 • Number of submissions sent for review: 61 • Number of submissions accepted: 46 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 73.02 • Average number of reviews per paper: 02 • Total number of reviewers involved: 15 • Any additional info on review process: *All the accepted papers are reviewed and checked with novelty and similarity index <15% through Turnitin software. • Contact person for queries: Dr. A. Megalingam, Associate Professor, Department of Mechatronics, Bannari Amman Institute of Technology, Sathyamangalam, Erode, Tamilnadu, India-638401. Mail id: megalingama@bitsathy.ac.in. Phone no:+91-9884646847.