• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.05a
• /
• pp.886-889
• /
• 2008

Today, digital technology can be possible U-city, U-healthcare because network and wireless communication have developed very rapidly and widely. In this paper we implemented embedded server and Zigbee sensor boards. For the development, Implemented home server platform has a Intel PXA255 processor, web server, USB camera and TFT LCD. The other hand, Zigbee sensor boards are attached the AVR microprocessor and the several sensors to get the environment variables.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.11 no.1
• /
• pp.274-284
• /
• 2019

The control architectures of Chuan Suo (CS) deep submergence rescue vehicle are introduced. The hardware and software architectures are also discussed. The hardware part adopts a distributed control system composed of surface and underwater nodes. A computer is used as a surface control machine. Underwater equipment is based on a multi-board-embedded industrial computer with PC104 BUS, which contains IO, A/D, D/A, eight-channel serial, and power boards. The hardware and software parts complete data transmission through optical fibers. The software part involves an IPC of embedded Vxworks real-time operating system, upon which the operation of I/O, A/D, and D/A boards and serial ports is based on; this setup improves the real-time manipulation. The information flow is controlled by the software part, and the thrust distribution is introduced. A submergence vehicle heeling control method based on ballast water tank regulation is introduced to meet the special heeling requirements of the submergence rescue vehicle during docking. Finally, the feasibility and reliability of the entire system are verified by a pool test.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.15 no.2
• /
• pp.95-101
• /
• 2020

In situations where mobile robots are operated either by autonomous systems or human operators, such as smart factories, priority-based teleoperation is crucial for the multiple operators with different priority to take over the right of the robot control without conflict. This paper proposes a priority-based teleoperation system for multiple operators to control the robots. This paper also introduces an efficient joystick-based robot control command generation algorithm for differential-drive mobile robots. The proposed system is implemented with ROS (Robot Operating System) and embedded control boards, and is applied to Pioneer 3AT mobile robot platform. The experimental results demonstrate the effectiveness of the proposed joystick control command algorithm and the priority-based control input selection.

• Journal of Korea Multimedia Society
• /
• v.19 no.8
• /
• pp.1329-1336
• /
• 2016

This paper develops a 360 degree video system using multiple off-the-shelf webcams and a set of embedded boards. Existing 360 degree cameras have shortcomings that they do not support real-time video generation since recorded videos should be copied to computers or smartphones which then provide stitching. Another shortcoming is that wide FoV(Field of View) cameras are not able to provide sufficiently high resolution. Moreover, resulting images are visually distorted bending straight lines. By employing an array of 65 degree FoV webcams, we were able to generate videos on the spot and achieve over 6K resolution with much less distortion. We describe the configuration and algorithms of the proposed system. The performance evaluation results of our early stage prototype system are presented.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.53.1-53
• /
• 2001

We have used many Instrumentations to acquire the performance data of vehicles for many years. but these could not satisfied with environment specifications (vibration, shock, temperature) and data processing speed to applicate the performance test for armored military vehicles because of having developed as a common vehicles/fixed installation equipments. So new rugged embedded measurement system required to do large data acquisition and high processing speed (Maximum sample rate : 1.25MHz/ch) with rugged environment specifications. We have developed embedded measurement system by using PXI(PCI eXtension for Instrumentation)bus interface which were composed of stand alone controller and versatile data acquisition boards(analog, digital, vision ...

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.6
• /
• pp.813-826
• /
• 2022

AI-based image processing technologies in various fields have been widely studied. However, the lighter the board, the more difficult it is to reduce the weight of image processing algorithm due to a lot of computation. In this paper, we propose a method using deep learning for object recognition algorithm in lightweight embedded boards. We can determine the area using a deep neural network architecture algorithm that processes semantic segmentation with a relatively small amount of computation. After masking the area, by using more accurate deep learning algorithm we could operate object detection with improved accuracy for efficient neural network (ENet) and You Only Look Once (YOLO) toward executing object recognition in real time for lightweighted embedded boards. This research is expected to be used for autonomous driving applications, which have to be much lighter and cheaper than the existing approaches used for object recognition.

• International Journal of Railway
• /
• v.1 no.3
• /
• pp.117-121
• /
• 2008

The personal rapid transit (PRT) system is a small scale transportation system that employs a novel concept to solve the traffic congestion problem in the city area. The PRT system is a driverless on-demand system that a passenger calls a vehicle rather than waits for the vehicle. Therefore, one of the most important issues in the PRT system is how to control the vehicle with the satisfaction of the basic concept of the PRT system. In this paper a computer simulator is introduced to evaluate the vehicle. operational control algorithm of the PRT system. The. computer simulator has the commercial embedded processor boards that operate in the real time operating system and pre-designed vehicle control algorithm is coded into the processor boards. The experimental results present the effectiveness of the proposed evaluation apparatus.

• Journal of the Korean earth science society
• /
• v.41 no.1
• /
• pp.40-47
• /
• 2020

The purpose of this study was to analyze the terms used in the Information Boards of Geosites at Jeonbuk West Coast National Geopark. Among the terms used in the Information Boards, nouns were extracted and listed based on the Standard Korean Language Dictionary, a glossary of earth and the data for the development of textbooks according to the 2015 revision of curriculum, by which eight types were classified. Seventy-one nouns (10.8%) of the extracted terms were not listed in any glossary. Most of these terms were compound words derived by combining [noun]+[noun] or [noun]+[affix] so that they were not easy to comprehend. In addition, two hundred fifty-six nouns (46%) of the terms were identified as jargons used in specific disciplines. Therefore, it is strongly suggested that when creating the National Geopark Information Boards, the academic jargon embedded terminologies be explained with annotation for general public visitors and students to understand without difficulty.

• Proceedings of the Korea Contents Association Conference
• /
• 2008.05a
• /
• pp.569-572
• /
• 2008

I proposed wireless ordering system using Qt embedded. This system will make the good use of real life applications and make fit for practical use. I embodied data input, transfer, gathering and back-transfer on wireless network using TCP/IP protocol on QSocket provided by Qt. Server environment is Linux 9.0 and gcc-2.95.3 on PC, and three target-boards consist PXA255 processor with wireless-LAN card which communicate through wireless access pointer. Software tools on target-board are gcc, tmake, qt-X11, qt-embedded and etc. I designed touch-screen interface for user convenience.

• Smart Media Journal
• /
• v.13 no.1
• /
• pp.24-35
• /
• 2024

The combination of Artificial Intelligence and the Internet of Things (AIoT) has gained significant popularity. Deep neural networks (DNNs) have demonstrated remarkable success in various applications. However, deploying complex AI models on embedded boards can pose challenges due to computational limitations and model complexity. This paper presents an AIoT-based system for smart parking lots using edge devices. Our approach involves developing a detection model and a decision tree for occupancy status classification. Specifically, we utilize YOLOv5 for car license plate (LP) detection by verifying the position of the license plate within the parking space.