A development of powerbutton device driver based on Windows CE device driver

2005 ◽  
Author(s):  
Samsu Lim ◽  
Sunghwan Chon ◽  
Hyunsok Choi ◽  
Woonchul Ham
Keyword(s):  
2011 ◽  
Vol 211-212 ◽  
pp. 330-335 ◽  
Author(s):  
Jian Qun Liu ◽  
Dong Xu ◽  
Ji Rong Wu ◽  
Xiao Li ◽  
Jian Huang

In this paper, a new embedded numerical control (ENC) system for carton samplemaker based on Windows CE is presented. The hardware design of ENC system based on ARM9 processor S3C2440A and motion control chip MCX314As is discussed principally. Besides, the device driver of MCX314As is developed by using stream interface driver model under Windows CE operating system. Furthermore, the software structure of the ENC system is introduced, and the way how to utilize multi-thread technology to realize the real-time control of the carton samplemaker is also discussed in detail. The system is proved to be good at dealing with multiple tasks processing, real-time and reliability of motion control.


2020 ◽  
Author(s):  
Ilda nur fauzia
Keyword(s):  

Software atau perangkat lunak adalah program komputer yang berfungsi sebagai sarana interaksi (penghubung) antara pengguna (user) dan perangkat keras (hardware). Software bisa juga dikatakan sebagai “penerjemah” perintah-perintah yang dijalankan pengguna komputer untuk diteruskan atau diproses oleh perangkat keras (hardware).Software adalah program komputer yang isi instruksinya dapat diubah dengan mudah. Software pada umumnya digunakan untuk mengontrol perangkat keras (yang sering disebut device driver), melakukan proses perhitungan, berinteraksi dengan software yang lain dan lebih mendasar (seperti system operasi, dan bahsa pemprograman).


2017 ◽  
Vol 13 (4) ◽  
pp. 408-418 ◽  
Author(s):  
Mustafa S. Aljumaily ◽  
Ghaida A. Al-Suhail

Purpose Recently, many researches have been devoted to studying the possibility of using wireless signals of the Wi-Fi networks in human-gesture recognition. They focus on classifying gestures despite who is performing them, and only a few of the previous work make use of the wireless channel state information in identifying humans. This paper aims to recognize different humans and their multiple gestures in an indoor environment. Design/methodology/approach The authors designed a gesture recognition system that consists of channel state information data collection, preprocessing, features extraction and classification to guess the human and the gesture in the vicinity of a Wi-Fi-enabled device with modified Wi-Fi-device driver to collect the channel state information, and process it in real time. Findings The proposed system proved to work well for different humans and different gestures with an accuracy that ranges from 87 per cent for multiple humans and multiple gestures to 98 per cent for individual humans’ gesture recognition. Originality/value This paper used new preprocessing and filtering techniques, proposed new features to be extracted from the data and new classification method that have not been used in this field before.


2017 ◽  
pp. 199-240
Author(s):  
Ivan Cibrario Bertolotti ◽  
Tingting Hu

2013 ◽  
Vol 756-759 ◽  
pp. 4207-4211
Author(s):  
Bo Qu

This paper describes the design and implementation of SD card driver and tiny file system for multi-process micro-kernel embedded operating system on ARM in technical details, including structure of device driver, key techniques of designing SD card driver, architecture of the tiny file system, a brief description of its designing and a demo example. The SD card driver and tiny FS are implemented with GNU tool chain by the author of this paper. Practice proves that the system can be used for not only embedded application developments but also related curriculum teaching.


Sign in / Sign up

Export Citation Format

Share Document