Automatic Tri-Axial Add Sample System Is Designed Based on Windows CE

2011 ◽  
Vol 66-68 ◽  
pp. 2260-2265
Author(s):  
Jian Guo ◽  
Li Wu ◽  
Yan Li Jia ◽  
Bing Yang Zhang

The design of automatic tri-axial add sample system is mainly used in industrial control. We design this system for solving existence in traditional control system problems. In our system we use based on S3C2440 embedded system. Through SDK which derived from the custom Windows CE Embedded System, we using integrated development environment vs2005 to develop applications program. The advantage of this application program is mainly embodied in the use of LCD touch screen to achieve human-computer interface. Through this interface can control the entire system work so that many people can be freed from the tedious labor, greatly improving work efficiency. By test this system in a practical way show that our design system has a high degree of automation, cost-effective and portable, real-time and other characteristics.

2011 ◽  
Vol 66-68 ◽  
pp. 2266-2271
Author(s):  
Li Wu ◽  
Bing Yang Zhang ◽  
Yan Li Jia ◽  
Jian Guo

Aim at the demand of analytical automation of sampling pretreatment, we designed an automatic sampling system which used ARM9 for microprocessor. The system designed in this paper is based on the processor of S3C2440 and the Windows CE operating system, and completed the work of programming in Visual Studio 2005. It uses stepping motors and precision pump as implementing agencies, and TA8435H as the stepping motor’s driver, uses LCD touch screen as human-computer interface. We accomplished software development in a customized Windows CE6.0 operating system. The paper mainly makes the detailed introduction to this system’s hardware platform design and software design based on WINCE embedded operation system.


1987 ◽  
Vol 31 (8) ◽  
pp. 866-870 ◽  
Author(s):  
Cynthia L. Tobias

Microcomputers could help reduce two of the principal fears of the elderly: inadequate income and loss of independence; yet there are indications that the elderly do not use computers very extensively because they see them as too complicated or because some of the physical impairments of advancing age make using standard systems too difficult for them. Previous research has shown a high degree of interest in computers among the aging, even in those over 85; however, the research has not focused on the elderly's special needs in the human-computer interface. Research is required on alternative input devices, such as the touchscreen and voice recognition, on menus and screen design, and on the use of color for coding or display background.


2016 ◽  
Vol 13 (10) ◽  
pp. 6764-6768
Author(s):  
Wenbo Geng ◽  
Xinying Zhu

With the rapid development of the computer computing, the embedded system has been widely used in industrial control, home appliances, mobile communications and other industries. This paper mainly studies the data acquisition and processing of embedded data. First, it introduces the integrated development environment of ARM, and analyzes the operation process of LINUX on ARM. Then, it studies the data processing of the embedded system based on the principles of embedded system and presents the butterfly algorithm according to discrete Fourier transform (DFT) Principle, which is realized on the basis of S3C2410X microprocessor. Finally, the decimation-in-time radix-2 FFT computation block diagram is established, which lays a foundation for the future programming.


2019 ◽  
Vol 7 (1) ◽  
pp. 5-10
Author(s):  
Saman Shahid ◽  
Saima Zafar ◽  
Mansoor Imam ◽  
Muhammad Usman Chishtee ◽  
Haris Ehsan

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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