• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.132.2-132
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• 2001

In this paper, we propose an efficient configuration of a system for the remote control of a mobile robot. The interface has a video feedback and runs in standard web environments. For control servers of mobile robot and CCD camera, we use the environment with embedded web server Specific program has been developed in order to grab the images using Microsoft Visual C++ The external camera sends the video signal to a framegrabber in the PC, then this program grabs the images and puts them in shared memory in BMP format. For a video feedback, we use image feedback based on the client pull technique supported by Netscape and Internet Explorer.

• Proceedings of the IEEK Conference
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• 2003.07b
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• pp.1141-1144
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• 2003

For proper communication with various types of IC-Card, multiple IC-Card interface complying with the IC-Card standard (ISO7816) is embedded and realized as a peripheral on the 32-bit RISC based system-on-a-chip. It provides the generation of either 3.3V or 5V power supply for the operation of the inserted IC-Card as well. IC-Card interface is divided into an analog front-end (AFE) and a digital back-end (DBE). The embedded DC-DC converters suitable for driving IC-Cards are incorporated in the AFE. The chip design for multiple IC-Card interface is implemented on a standard 0.35${\mu}{\textrm}{m}$ triple-metal double-poly CMOS process and is packaged in a 352-pin plastic ball grid array (PBGA). The total gate count is about 400,000, excluding the internal memory. Die area is 7890${\mu}{\textrm}{m}$ $\times$ 7890${\mu}{\textrm}{m}$.

• IEMEK Journal of Embedded Systems and Applications
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• v.5 no.2
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• pp.93-102
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• 2010

The FMCW(Frequency Modulation Continuous Wave) radar possesses range-velocity ambiguity to identify the correct combination of beat frequencies for each target in the multi-target situation. It can lead to ghost targets and missing targets, and it can reduce the detection probability. In this pap er, we propose an effective identification algorithm for the correct pairs of beat frequencies and the signal processing hardware architecture to effectively support the algorithm. First, using the correlation of the detected up- and down-beat frequencies and Doppler frequencies, the possible combinations are determined. Then, final pairing algorithm is completed with the power spectrum density of the correlated up- and down-beat frequencies. The proposed hardware processor has the basic architecture consisting of beat-frequency registers, pairing table memory, and decision unit. This method will be useful to improve the radar detection probability and reduce the false alarm rate.

• Proceedings of the KIPE Conference
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• 2002.07a
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• pp.697-700
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• 2002

In this paper, we proposed the micro web-server Implementation on Strong ARM processor with embedded Linux. The parallel port connecting parallel I/O is controlled via HPPT protocol and web browser program. HTTP protocol is ported into Linux and the micro web server program and port control program are installed on-board memory using CGI to be accessed by web browser, such as Internet Explore and Netscape. 8bit LED and DIP switches are connected to the processor port and the switch input status is monitored and the LED output is controlled from remote hosts vie internet. The result of the proposed embedded micro-web server can be used in automation systems, remote distributed control via internet using web browser.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.560-563
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• 2001

We made a HTTP server using 8 bit microprocessor. It was TMP84C015 which applied a 180 core and RTL8019AS was installed for an ethernet physical layer. Assembly language was used to optimize a performance of the MPU, to overcome an restriction of memory size and to maximize the throughput of packet using TCP, UDP, IP, ICMP and ARP protocol. We used LabVIEW to verified the each protocol on the client side.

• Annual Conference of KIPS
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• 2000.10b
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• pp.953-956
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• 2000

최근들어 정보가전. 휴대 통신 기기. 셋탑박스 등의 Embedded 시스템이 개발됨에 따라 이를 운영할 실시간 운영체제의 필요성이 절실히 요구되고 있으며, 여기에 사용될 파일 시스템이 필요하게 되었다. 그러나, 이런 Embedded 시스템의 특성상 전원이 꺼진 상태에서도 데이터를 보관하기 위하여 플래시 메모리를 이용한 파일 시스템이 필요하며, 본 논문에서는 이런 실시간 운영체제를 위한 플래시 파일시스템을 설계하고 구현한다. 또한 효율적인 플래시 메모리 접근을 위해 플래시 메모리 관리자를 구현하고, 오류 복구를 위한 효율적인 복구 알고리즘을 제안한다. 마지막으로 순차적 파일 쓰기와 무작위 파일 쓰기 실험을 통해 본 논문의 플래시 파일 시스템의 성능을 평가한다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2672-2674
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• 2003

In this paper, web based monitoring systems are implemented using embedded systems. A parallel port connecting parallel I/O is controlled via HTTP protocol and web browser program. HTTP protocol is ported into Linux. A micro web server program and port control program installed on-board memory using CGI to be accessed by web browser. Experimental results of proposed web based monitoring systems can be used in automation systems and remote distributed control systems via internet using web browser.

• Annual Conference of KIPS
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• 2018.10a
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• pp.792-794
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• 2018

본 연구에서는 일반적으로 R,G,B 색 평면의 높은 상관관계를 이용하여 컬러 복원을 시도하던 기존의 방법의 문제점을 정의하고, DCGAN을 활용한 디모자이킹에 관한 연구를 소개한다. 약 2000장의 $256{\times}256$ 이미지를 학습데이터를 이용하였다. 보다 나은 결과를 위하여 R,G,B 색상 채널에 따라 각각의 네트워크를 구성하고 학습하였다. 제안 방법은 Intel Core i7-7770 CPU(3.60GHz), 16GB Memory,NVIDIA GeForce GTX1080Ti 구성의 Laptop에서 진행하였고, 평균 PSNR 22.5dB 정도의 성능을 보인다.

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.27-31
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• 2005

Vehicle detector system based on image processing technology is a significant domain of ITS (Intelligent Transportation System) applications due to its advantages such as low installation cost and it does not obstruct traffic during the installation of vehicle detection systems on the road[1]. In this paper, we propose architecture for vehicle detection by using image processing. The architecture consists of two main parts such as an image processing part, using high speed FPGA, decision and calculation part using CPU. The CPU part takes care of total system control and synthetic decision of vehicle detection. The FPGA part assumes charge of input and output image using video encoder and decoder, image classification and image memory control.

• IEMEK Journal of Embedded Systems and Applications
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• v.16 no.5
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• pp.215-223
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• 2021

3D data can be categorized into two parts : Euclidean data and non-Euclidean data. In general, 3D data exists in the form of non-Euclidean data. Due to irregularities in non-Euclidean data such as mesh and point cloud, early 3D deep learning studies transformed these data into regular forms of Euclidean data to utilize them. This approach, however, cannot use memory efficiently and causes loses of essential information on objects. Thus, various approaches that can directly apply deep learning architecture to non-Euclidean 3D data have emerged. In this survey, we introduce various deep learning methods for mesh and point cloud data. After analyzing the operating principles of these methods designed for irregular data, we compare the performance of existing methods for shape classification and segmentation tasks.