scholarly journals Android Based Instant Messaging Tool Using Firebase as Backend

2020 ◽  
Vol 6 (12) ◽  
pp. 198-201
Author(s):  
Ashita, Vasudha Bahl Dr.Amita Goel and Nidhi Sengar
Keyword(s):  
Operating System ◽  
Real Time ◽  
Instant Messaging ◽  
Online Communication ◽  
Internet Communication ◽  
Time Data ◽  
World Communication ◽  
Real Time Data ◽  
Audio Video

In today’s world, communication is very important and keeping this communication in real time is important as our lives become faster. Internet communication is becoming more and more important these days. Online communication allows users to communicate with other people in a fast and easy way. Keeping this in mind, the communication app should be able to transfer files and messages instantly without or with little delay, depending on the broadcast field. For such a system to work there must be a database that will update in real time to store all the data transferred.Google Firebase is a service that provides real-time data server, as well as many other features and Firebase enables us to develop applications that are easy to connect to. In this paper, we propose a system that will be able to send text and text-based files such as photos, audio, video, text online between two users on the network in real time.We use the Android and Google Firebase operating system to manage contact back functionality, highlighting various features of the application and service.

scholarly journals Web-Based Recommendation System for Smart Tourism: Multiagent Technology

2019 ◽  
Vol 11 (2) ◽  
pp. 323 ◽  
Author(s):  
Raheleh Hassannia ◽  
Ali Vatankhah Barenji ◽  
Zhi Li ◽  
Habib Alipour
Keyword(s):  
Real Time ◽  
Web Application ◽  
Recommendation System ◽  
Online Communication ◽  
Data Communication ◽  
Tourism Industry ◽  
Time Data ◽  
Real Time Data ◽  
Hybrid Recommendation ◽  
Smart Tourism

The purpose of the study is to design and develop a recommended system based on agent and web technologies, which utilizes a hybrid recommendation filtering for the smart tourism industry. A hybrid recommendation system based on agent technology is designed by considering the online communication with other sectors in the tourism industry, such as the tourism supply chain, agency etc. However, online communication between the sectors via agents is designed and developed based on the contract net protocol. Furthermore, the design system is developed on the java agent development framework and implemented as a web application. Case study-based results considering two scenarios involving 100 customers illustrated that the proposed web application improves the rate of the recommendation for the customers. In the first scenario without disturbances, this rate was improved by 20% and the second scenario with disturbances yielded a 30% rate of acceptable recommendation. In addition, based on the second scenario, real time data communication on the system occurred, thus the proposed system supported real time data communication.

scholarly journals Dual OS Smart Mirror Using Raspberry Pi (Allure Mirror)

2021 ◽  
pp. 48-52
Author(s):  
Prem Mehta ◽  
Jigar Lohe ◽  
Rushabh Joshi ◽  
Dr. Hetal Patel
Keyword(s):  
Operating System ◽  
Social Media ◽  
Real Time ◽  
Raspberry Pi ◽  
Time Data ◽  
Display Time ◽  
Lcd Display ◽  
Real Time Data

This paper describes the designing and implementation of a dual operating system wall mirror, called “Allure Mirror”. It is a device that can act as a mirror as well as a dual -OS immersive display which can display time, date, weather, news, can play video (via. YouTube, Prime Video, Netflix, etc.), can do video calls, use social media, check mails, can help in fitness and many more. Voice instructions can be used to communicate with it. The Allure Mirror includes features such as real-time data and information alerts, voice orders, content viewing via LCD display, microphone, and webcam, and more. Voice instructions can be used to communicate with the Allure mirror.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data

MHA releases largest real‐time data from MH help‐seekers

2021 ◽  
Vol 31 (6) ◽  
pp. 7-7
Author(s):  
Valerie A. Canady
Keyword(s):  
Real Time ◽  
Time Data ◽  
Real Time Data

Why Ecological Momentary Assessment Surveys Go Incomplete?: When It Happens and How It Impacts Data

2020 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  
Keyword(s):  
Real Time ◽  
Self Report ◽  
Data Logging ◽  
Time Data ◽  
Real Time Data ◽  
Report Data ◽  
Self Report Data ◽  
Ecological Momentary ◽  
The Impact ◽  
Momentary Assessment

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.

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