OPCODE (Orlando Parallel Computation Development Environment)

2002 ◽  
Author(s):  
Guy Schiavone
Keyword(s):  
Parallel Computation ◽  
Development Environment

scholarly journals Interactive C++ code development using C++Explorer and GitHub Classroom for educational purposes

2021 ◽  
Author(s):  
Patrick Diehl ◽  
Steven Brandt
Keyword(s):  
Computer Science ◽  
Open Source ◽  
Parallel Computation ◽  
Mathematics Students ◽  
Remote Communication ◽  
Development Environment ◽  
Integrated Development ◽  
Open Source Tool ◽  
C Programming ◽  
Code Development

Teaching C++ programming to non-computer science majors comes with the burden of setting up an integrated development environment, a struggle for most students. Therefore, we present the open source tool, C++Explorer, a Jupyterhub deployment for interactively developing C++ code. Students can connect to the server without installing anything, and, almost instantly, they can begin to play with code using the notebooks. Another aspect of code development is remote communication with co-workers or the community. To develop this skill, we use GitHub classroom to provide feedback on the assignments and practice remote communication. C++Explorer was used in the fall of 2019 and 2020 to teach parallel computation to mathematics students. At the end of the class, the students provided feedback through a survey. This data will be used to continue improving the course. In addition, we present a \Telegram bot for the communication with the server using smartphones or tablets. However, this tool was not used in the course and will be explored in future teaching.

Building your own software development environment

1991 ◽  
Vol 6 (5) ◽  
pp. 317 ◽  
Author(s):  
Yasuhiro Sugiyama ◽  
Ellis Horowitz
Keyword(s):  
Software Development ◽  
Development Environment ◽  
Software Development Environment

Parallel Computation of Complex Antennas around the Coated Object Using Iterative Vector Fields Technique

2014 ◽  
Vol E97.C (7) ◽  
pp. 661-669
Author(s):  
Ying YAN ◽  
Xunwang ZHAO ◽  
Yu ZHANG ◽  
Changhong LIANG ◽  
Zhewang MA
Keyword(s):  
Parallel Computation ◽  
Vector Fields

Radio-coverage parallel computation on multi-processor platforms

2009 ◽  
Author(s):  
Giorgio Franceschetti ◽  
Pasquale Imperatore ◽  
Antonio Iodice ◽  
Daniele Riccio
Keyword(s):  
Parallel Computation ◽  
Radio Coverage

Remote Heart Beat Monitoring System

2019 ◽  
Vol 7 (1) ◽  
pp. 5-10
Author(s):  
Saman Shahid ◽  
Saima Zafar ◽  
Mansoor Imam ◽  
Muhammad Usman Chishtee ◽  
Haris Ehsan
Keyword(s):  
Heart Diseases ◽  
Cost Effective ◽  
Heart Beat ◽  
The Internet ◽  
Android Application ◽  
Development Environment ◽  
Future Assessment ◽  
Pulse Sensor ◽  
Hospital Visits ◽  
Monitoring Module

There is an increased prevalence of heart diseases in developing countries and continuous monitoring of heart beats is very much important to reduce hospital visits, health costs and complications. The Internet of Things (IoT) equipped with microcontrollers and sensors can give an easy and cost-effective remote health monitoring. We developed a Heart Beat monitoring module based on an android application. The software involved was the Android Application developed using Android Studio, which is the Integrated Development Environment (IDE). This app retrieved the data from the open IoT platform thingspeak.com. A highly sensitive Pulse Sensor was used to measure the heartbeat of the patient automatically. An Arduino Uno microcontroller interfaced with a Wi-Fi module ESP8266 used to transmit pulse reading over the internet using Wi-Fi. The heartbeat was displayed on the LCD of the patient in run-time. The heartbeat in beats per minute (BPM) was plotted against time (minutes). A mounted pulse sensor to the patient had monitored the heartbeat and transmitted it in the form of voltage signal to the microcontroller, which converted it back into a mathematical value. The Arduino transmitted the data onto the thingspeak.com portal, where it was plotted on a graph and the values were stored for future assessment. The user of the app was given a things peak API and the channel number as an access code, through which physician or nurse can accessed the patient’s data. IoT based heartbeat module as an android application can provide a convenient, cost effective and continuous remote measurements for heart patients to help physicians and nurses update. This app can reduce the burden of hospital visits or admissions for elderly patients.

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