Video Conferencing WebApp

During the last few years, video conferencing has become very popular and very reliable as a tool to bridge the gap where travel is not an option. And the COVID-19 epidemic has also led to lockdown orders that have led to dramatic changes in the way people work. The number of people working in the home (WFH) had increased significantly during the pandemic. The need for distance learning has also increased and has become a compulsory education system in the midst of this current situation. The Companies are also adopting an innovative recruitment process at such time. So to address this issue, our project aims to build a conference app that helps to provide communication between people through audio conferencing, video conferencing, screen sharing and messaging in real time. In this, we have created group video chat with the help of WebRTC technology and socket programming. Also we have added real-time chat feature and screen share feature. We had created the web app using Jquery for front end and node.js express.js for signaling server and real time database of Firebase for storing chats and user information. WebRTC helped us to create peer to peer connection and with the help of sockets we have done transfer of sdp packets and ice candidates. We have discussed extensively about them in our paper. Keywords: Video conferencing app, sockets, webrtc, peer-to-peer, realtime data transfer

Ontological Data Replication in a Distributed Real-Time Database System

The massive use of ontologies generates a large amount of semantic data. To facilitate their management, persistent solutions for storing and querying these semantic data loads have been proposed. This gave rise to a new type of databases, called ontology-based databases (OBDB). In recent years, the need for data and real-time services has increased significantly in a large number of applications. However, the OBDB does not implement any mechanism to address real-time applications which are characterized, not only by handling large amounts of data, but also by temporal constraints, to which can be submitted data and treatments. As well, geographically extended applications, requiring using real-time databases that manage data and distributed processing are increasingly needed.These applications are managed by Distributed Real-Time DataBase Management System (DRTDBMS). Like any system, the DRTDBMS, often go through overload phases, due to the unpredictable arrival of transactions submitted by users. In order to better manage Quality of Service (QoS) in these systems by facing instability periods, approaches based on Distributed Feedback Control Scheduling (DFCS) were proposed. These approaches does not address the use of ontological data. In this paper, we propose an approach aiming to enhance QoS in DRTDBMS based on data replication. It consists in extending the DFCS architecture by the manipulation of ontological data as well as handling the execution of accessing transactions. In the extension we propose, we study the applicability of different data replication policies. The proposed architecture is then called Replication-Based-Distributed Feedback Control Scheduling Architecture for Real-Time Ontology (Replication-Based-DFCS-RTO). We also show the contribution provided by our approach through simulation results.

Rancang Bangun Monitor Jarak Jauh Lampu Penerangan Menggunakan Teknologi Real Time Storage Firebase

Jurnal ini menguraikan mekanisme rancang bangun monitor jarak jauh lampu penerangan menggunakan teknologi Real Time Storage Firebase dengan NodeMCU ESP8266 sebagai penyedia wifi dan informasi perintah pada mikrokontroler sehingga mikrokontroler tersambung ke Firebase. Prototipe monitor lampu penerangan ini menggunakan Android Mega sebagai mikrokontrolernya dan juga memanfaatkan real time database sebagai penyimpan data dan synchronize ke layar user. Monitor lampu penerangan ini sebagai langkah pertama cepat tanggap terhadap penghematan penggunaan sumber energi listrik pada kehidupan sehari-hari dengan menggunakan Android sebagai media untuk memonitor lampu secara real time dan juga ada sensor arus ZMCT103C guna untuk mengetahui jika terjadi kerusakan pada lampu maka terdapat sebuah notifikasi berupa sebuah pesan singkat yang akan dikirimkan melalui Android.

Real-time database of the subsystem of monitoring the process of growing vegetable products in the greenhouse

When choosing systems for automatic control of the microclimate of the greenhouse should take into account the requirements that affect the process itself. In the process of growing different crops in the greenhouse, it is necessary to maintain the temperature and humidity according to the technology for the comfortable development of the plant, which will further affect the quality of the crop. An important factor is the fixation of all measured values for further processing of the results, and in paper and mostly unstructured form it is not so convenient to do. That is why information control systems provide constant fixation of measured values and maintain indicators that will be comfortable for a particular variety grown in the greenhouse. The aim of the study is to create software for an automated subsystem for monitoring technological parameters, which will allow in real time to obtain indicators of the microclimate of the greenhouse. To effectively manage the parameters of greenhouse cultivation and rapid processing of measured data, it is proposed to improve automated software management systems for creating databases. An automated subsystem for monitoring technological parameters has been developed, which allows to obtain real-time indicators of the greenhouse microclimate, control their values, process them statistically and demonstrate them to the staff. An application for reading and outputting measured information from the Arduino hardware platform has also been created. Key words: human-machine interface, monitoring, air temperature, microclimate, greenhouse

AndroidTrack: An Investigation of Using Social Networks’ Applications in Android Platforms

In this paper, time spent and the repetition of using the Social Network Sites (SNS) in Android applications are investigated. In this approach, we seek to raise the awareness and limit, but not eliminate the repeated uses of SNS, by introducing AndroidTrack. This AndroidTrack is an android application that was designed to monitor and apply valid experimental studies in order to improve the impacts of social media on Iraqi users. Data generated from the app were aggregated and updated periodically at Google Firebase Real-time Database. The statistical factor analysis (FA) was presented as a result of the user’s interactions.

Understanding adaptations in the Veteran Health Administration’s Transitions Nurse Program: refining methodology and pragmatic implications for scale-up

Background When complex health services interventions are implemented in real-world settings, adaptations are inevitable. Adaptations are changes made to an intervention, implementation strategy, or context prior to, during, and after implementation to improve uptake and fit. There is a growing interest in systematically documenting and understanding adaptations including what is changed, why, when, by whom, and with what impact. The rural Transitions Nurse Program (TNP) is a program in the Veterans Health Administration (VHA), designed to safely transition a rural veteran from a tertiary hospital back home. TNP has been implemented in multiple cohorts across 11 sites nationwide over 4 years. In this paper, we describe adaptations in five TNP sites from the first cohort of sites and implications for the scale-up of TNP and discuss lessons learned for the systematic documentation and analysis of adaptations. Methods We used the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) expanded version of the original Stirman framework to guide the rapid qualitative matrix analysis of adaptations. Adaptations were documented using multiple approaches: real-time database, semi-structured midpoint and exit interviews with implementors, and member checking with the implementation team. Interviews were recorded and transcribed. To combine multiple sources of adaptations, we used key domains from our framework and organized adaptations by time when the adaptation occurred (pre-, early, mid-, late implementation; sustainment) and categorized them as proactive or reactive. Results Forty-one unique adaptations were reported during the study period. The most common type of adaptation was changes in target populations (patient enrollment criteria) followed by personnel changes (staff turnover). Most adaptations occurred during the mid-implementation time period and varied in number and type of adaptation. The reasons for this are discussed, and suggestions for future adaptation protocols are included. Conclusions This study demonstrates the feasibility of systematically documenting adaptations using multiple methods across time points. Implementors were able to track adaptations in real time across the course of an intervention, which provided timely and actionable feedback to the implementation team overseeing the national roll-out of the program. Longitudinal semi-structured interviews can complement the real-time database and elicit reflective adaptations.

Medicare Professional

Smartphones have hit every side and every house nowadays. As a result, people use useful smartphone apps to make their daily lives simpler. The number of smartphone apps relating to physical fitness and the goal of maintaining a healthy daily routine is increasing. In order to provide an accessible health care infrastructure, this paper focuses on designing a smartphone application. By using this app the users can get numerous features/benefits such as login or sign up, medicine reminder, nearest ambulance booking feature, doctor’s appointment, search for a specialist, separate medical folder for a patient. The application has two interfaces - Patient side and the Doctors side. The doctor side has features like the- My Patients, Appointments, Profile, Patient’s Request, Doctors Calendar. The Patient’s side contains - a search doctors, medical folder, my doctors, patient’s profile and doctors appointment. Firebase is used as the backend with Authentication for email and password whereas the real time database is used to keep the track of the ambulance which takes latitude and longitude as parameters.

Reducing Replica Update Cost in Replicated DRTDBS

Replication techniques have drawn a great deal of appeal in the real-time database system (RTDBS). In this technique, the replication protocol (RPCL) has been studied as one of the primary technologies. Existing RPCL causes improper resource utilization and suffers from large communication costs. Hence, the objective is to propose a solution that effectively utilizes the system resource and decreases the large communication cost. The proposed data mining algorithm identifies the frequently accessed data items, their related data access sequence, and replicate those data items on the demanded replica sites. Additionally, mutual consistency among newly created data replica and existing data replica gets satisfied with the proposed RPCL. The experimental result shows that the proposed solutions improve the performance of the system by reducing the issue of unnecessary replica updation, unnecessary storage utilization, and unnecessary bandwidth utilization.

NMDB@Home 2020

With the 'Proceedings of the 1st virtual symposium on cosmic ray studies with neutron detectors' launches the new open access series 'Cosmic ray studies with neutron detectors'. The volume comprises the papers presented at the online meeting held in July 2020. The contributions show that neutron detectors on the ground provide significant results for studying the interaction of galactic cosmic rays with magnetic fields in the heliosphere, for accelerating energetic particles, and for a growing number of applications, including geophysics and space weather. The easily accessible databases around the project 'Real-Time database for high resolution Neutron Monitor measurements' (NMDB) make the original data readily available to a large user community.