• Journal of the Institute of Convergence Signal Processing
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• v.13 no.2
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• pp.83-90
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• 2012

In this paper, an intelligent visual surveillance system based on a NIOS II embedded platform is implemented. By this time, embedded based visual surveillance systems were restricted for a special purpose because of high dependence upon hardware. In order to improve the restriction, we implement a flexible embedded platform, which is available for various purpose of applications. For high speed processing of software based programming, we improved performance of the system which is integrated the SOPC type of NIOS II embedded processor and image processing algorithms by using software programming and C2H(The Altera NIOS II C-To-Hardware(C2H) Acceleration Compiler) compiler in the core of the hardware platform. Then, we constructed a server system which globally manage some devices by the NIOS II embedded processor platform, and included the control function on networks to increase efficiency for user. We tested and evaluated our system at the designated region for visual surveillance.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.2
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• pp.123-128
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• 2022

This paper proposes a mobile robot platform for education that can experiment with various autonomous driving algorithms such as obstacle avoidance and path planning. The platform consists of a robot module and a remote controller module, both of which are based on the Arduino Nano 33 IoT embedded board. The robot module is designed as a differential drive type using two encoder motors, and the speed of the motor is controlled using PID control. In the case of the remote controller module, a command to control the robot platform is received with a 2-axis joystick input, and an elliptical grid mapping technique is used to convert the joystick input into a linear and angular velocity command of the robot. WiFi and Zigbee are used for communication between the robot module and the remote controller module. The proposed robot platform was tested by measuring and comparing the linear velocity and angular velocity of the actual robot according to the linear velocity and angular velocity commands of the robot generated by the input of the joystick.

• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.754-757
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• 2003

The implementation of home network systems In ubiquitous computing environments requires middleware that provides a method to control and operate home appliance devices. The Universal Plug and Play (UPnP), which is based on the IPv4 protocol and running on a PC, consists of UPnP devices that provide relevant services and control points that control the devices. However, It is inappropriate to Implement UPnP devices on a PC, since the implementation on a PC requires much space and electrical power. In this paper, a small embedded home network device equipped with UPnP middleware is implemented on an embedded GNU/Linux system running on an ARM9 platform, in order to deal with such problems.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.3
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• pp.117-123
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• 2011

In this paper, we design the hardware platform and implement the embedded software based on the FPGA and the DSP for the automotive 77GHz FMCW radar system. This embedded software is built into the DSP as the multi-tasking architecture to support the basic target detection algorithm and the Ethernet link. The designed GUI(Graphic User Interface) provides ability to adjust parameters associated with the radar performance, to monitor signal processing results, and to download the raw received signal. The designed platform can be used to develop the optimal detection algorithms for the various applications.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.2
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• pp.194-200
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• 2006

The SoC and digital technology development recently enabled the emergence of information devices and control devices because the SoC presents many advantages such like lower power consumption, greater reliability, and lower cost. However, it is nearly impossible to use the SoC without operating systems because the SoC is included with many peripherals and complex architecture. It is required to use embedded operating systems and real-time operating systems may be used as an embedded operating system. So far, real-time operating systems are widely used to implement a Real-Time system since it meets developer's requirements. However, real-time operating systems have disadvantages including a lack of standards, expensive development, and license. Embedded Linux is able to overcome their disadvantages. In this paper, the implementation of control system platform for a mobile robot using real-time Embedded Linux is described. As a control hardware system platform, XScale board is used. As the real-time Embedded Linux, RTAI is adopted which is open source and royalty free, and supports various architectures and real-time devices, such like real-time CAN and real-time COM. This paper shows the implementation of RTAI on XScale board that means the porting procedure. We also applied the control system platform to the mobile robot and compared the Real-Time serial driver with non real-time serial driver. Experimental results show that that using RTAI is useful to build real-time control system with powerful functionalities of Linux.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.254-254
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• 2004

• 전자공학회논문지 IE
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• v.47 no.1
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• pp.48-55
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• 2010

The goal of this paper is to determine optimal hardware platform for specific applications. In order to develop an understanding of how select the optimal platform, we focus upon the real-time embedded vehicle system for processing forward image and sound. In this paper we propose to measure parameters such as instructions, execution cycle, required memory size for program and data by using ARMulator. We have measured three types of processor cores: ARM7, ARM9 and ARM10. The results of the study indicated that the proposed methods could measure the minimal requirements of hardware platform for specific applications. By defining lower limit of hardware specifications in embedded systems, we can minimize expenses with suitable system performance without implementing the system.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.143-151
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• 2010

In this paper, We designed the robot controller with Linux OS, Cygwin under the Marvell Monahan PXA320 embedded platform. Cygwin is a collection of tools for using the Linux-like environment for commercially released x86 32 bit and 64 bit versions of Windows and is a DLL that acts as a Linux API emulation layer providing substantial Linux API functionality. TinyOS-2. x is a component based embedded OS by UC Berkeley and is an open-source OS designed for interfacing the sensor application with specific C-language. The results of experiment are described to show the improvement of sensor interfacing functionality under the PXA320 embedded RTOS platform.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.1-10
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• 2011

In this paper, we implemented the Android NDK porting application with Eclipse(JDK) ADT and TinyOS 2.0. TinyOS and Cygwin are component based embedded system and an Open-source basis for interfacing with sensor application from H-mote. Cygwin is a collection of tools for using the Linux environment for commercially released with x86 32 bit and 64 bit versions of Windows. TinyOS-2. x is a component based embedded OS by UC Berkeley and is an Open-source OS designed for interfacing the sensor application with specific C-language. The results of Android porting experiment are described to show the improvement of sensor interfacing functionality under the PXA320 embedded RTOS platform. We will further more develop the software programming of Android porting under Embedded platform and enhance the functionality of the Android SDK with mobile gaming and kernel programming under sensor interfacing activity.

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.4
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• pp.187-195
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• 2019

In the fourth industrial revolution era, various commercial smart platforms for smart system implementation are being developed and serviced. However, since most of the smart platforms have been developed for general purposes, they are difficult to apply / utilize because they cannot satisfy the requirements of real-time data management, data visualization and data storage of smart factory system. In this paper, we implemented an open source based smart manufacturing big data platform that can manage highly efficient / reliable data integration for the diagnosis diagnostic system of manufacturing robots.