• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1168-1171
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• 2007

Integrating systems on TFT-LCD panels is more and more popular for the mobile display application. However, it may not be necessary to use LTPS TFT devices. A-Si TFTs are used to integrate systems on TFT-LCD panels, especially scan (gate) drivers. To further reduce the chip size of driver IC, the triplegate pixel structure is developed. Therefore, the number of the source lines is reduced to 1/3 times.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1427-1430
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• 2005

In this paper, the range finder system using a PSD sensor suitable for low-cost localization sensor of a mobile robot. Because the distance-voltage output of a PSD sensor has a non-linear property, the linearizing function is proposed through the experimental characteristics of the sensor. And the characteristics are tested and the distance-voltage data are measured in various colors and materials of object. For a known environment, a mobile robot scans the surroundings using a PSD sensor that can rotate $360^{\circ}$. Finally, the performance and accuracy of the developed system are verified according to the comparison the distance by proposed function with real distance

• 한국정보디스플레이학회:학술대회논문집
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• 2002.08a
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• pp.325-328
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• 2002

We developed a high performance 2.2" active matrix OLED display for IMT-2000 mobile phone. Scan and Data driver circuits were integrated on the glass substrate, using low temperature poly-Si(LTPS) TFT CMOS technology. High efficiency EL materials were employed to the panel for low power consumption. Peak luminescence of the panel was higher than 250cd/$m^2$ with power consumption of 200mW.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.1
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• pp.18-24
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• 2010

In this paper, we address an active ranging system based on laser structured light image for mobile robot application. Since the burdensome correspondence problem is avoidable, the structured light image processing has efficient computation in comparison with the conventional stereo image processing. By using a cylindrical lens in the laser generation, it is possible to convert a point laser into a stripe laser without motorized scan in the proposed system. In order to achieve robustness against environmental illumination noise, we propose an efficient integro-differential image processing algorithm. The proposed system has embedded image processing module and transmits distance data to reduce the computational burden in main control system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.1
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• pp.107-109
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• 2016

In this paper, we address the TCP-over-WLAN performance problem that occurs during periodic active background scanning with which mobile devices discover available APs in the vicinity. We measure the impact of the scanning period on the TCP throughput and observe a significant performance degradation when the scan operation period is shortened. Our experimental analysis has identified the main cause of the problem, that is, the associated AP continues to send packets to the mobile device even when the device is not able to receive due to the scanning operation.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1058-1061
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• 2009

CDMA, WiBro, WLAN 네트워크를 포함하는 4세대(4G) 네트워크에서는 MN(Mobile Node)은 다양한 무선네트워크 인터페이스를 지원 해야만 한다. MN은 밧데리 전원에 의존하므로 에너지 효율은 네트워크 스캐닝의 관점에서는 매우 심각한 문제가 있다. 본 논문에서는 에너지효율을 위한 적응적인 네트워크 스캐닝 알고리즘을 제안 한다. 그 알고리즘은 네트워크 이동성과 사용자 트래픽등급을 고려한 두가지 방안으로 되어 있다. 네트워크 스캐닝 주기는 이동속도와 사용자 트래픽등급에 따라 적응적으로 변화 된다. 적응적인 네트워크 스캐닝 주기를 사용하여 MN은 불필요한 스캐닝을 최소화 하여 네트워크를 보다 에너지 효율적으로 스캐닝 할 수 있다. 제안한 네트워크 스캐닝 알고리즘을 위한 OPNET 시뮬레이션 결과들은 제안한 알고리즘이 고정된 스캐닝 주기를 가진 기존의 알고리즘보다 더 에너지 효율적이다는 것을 보여준다.

• Journal of IKEEE
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• v.23 no.1
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• pp.44-52
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• 2019

We implement an educational indoor autonomous mobile robot system that integrates LiDAR sensing information with RGB-D camera image information and exploits the integrated information. This system uses the existing sensing method employing a LiDAR with a small number of scan channels to acquire LiDAR sensing information. To remedy the weakness of the existing LiDAR sensing method, we propose the 3D structure recognition technique using depth images from a RGB-D camera and the deep learning based object recognition algorithm and apply the proposed technique to the system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.1-6
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• 2022

Recently, IoT sensors are often used to produce stream data locally and they are provided for edge computing applications. Mass-produced data are stored in the mobile device's database for real-time processing and then synchronized with the server when needed. Many mobile databases are developed to support those applications. They are CloudScape, DB2 Everyplace, ASA, PointBase Mobile, etc, and the most widely used database is SQLite3 on Linux. In this paper, we focused on the performance required for synchronization with the server. The search performance required to retrieve SQLite3 was compared and analyzed according to the type of each Linux file system in which the database is stored. Thus, performance differences were checked for each file system according to various search query types, and criteria for applying the more appropriate Linux file system according to the index use environment and table scan environment were prepared and presented.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.577-580
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• 2005

Surface quality of a micro-processed sample with laser has been investigated by using of scanning confocal microscope(SCM) and atomic force microscope(AFM). Samples are bump electrodes and ITO glass of LCD module used in a mobile phone and a wafer surface scribed by UV laser. A image of $140\times120{\mu}m^2$ is obtained within 1 second by SCM because scan speed of a x-axis and y-axis are 1kHz and 1Hz, respectively. AFM is able to measure correctly hight and width of ITO and scribing depth and width of a wafer with a resolution less than 300 . However, the scan speed is slow and it is difficult to distinguish a surface composed of different nm kinds of materials. Results show that SCM is preferable to obtain a image of a sample composed of different kinds of material than AFM because the intensity of a reflected light from surface is different from each material.

• Journal of IKEEE
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• v.12 no.2
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• pp.124-130
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• 2008

Vector Graphics describes an image with mathematical statements instead of pixel information. Which enables easy scalability without loss in image quality and usually results in a much smaller file size compared with bitmap images. In this paper, we propose Vector Graphics Accelerator for mobile device with scan-line edge flag algorithm to render vector image without sorting process of edge. Proposed Vector Graphics Accelerator was verified with OpenVG 2D Vector image. The estimated processing time of proposed Accelerator with Tiger image is 12ms on Tessellation process, and total rendering time is 208ms. Estimated rendering performance with Tiger image is about 5 frame per second