• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.19-22
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• 2015

주차는 자동차를 이용하는 사람들의 편리한 이동을 위한 기반 행위에 포함되는 요소이다. 따라서 이러한 주차 문제를 해결하는 다양한 서비스가 존재하나, 이러한 서비스를 제공하는 시스템을 개발하기 위해서는 주차공간의 특성을 고려해야 하는 어려움이 있다. 본 연구에서는 카메라 모듈과 딥러닝 알고리즘을 기반으로 하는 이미지 센싱을 활용하여 기존 시스템의 주차 감지 센서부 구축의 문제점을 개선하며, 주차장 수요가 많은 '러쉬 타임'을 반영하여 주차공간을 안내하고 운전자를 유도하는 주차정보시스템을 개발한다.

• Journal of Sensor Science and Technology
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• v.7 no.2
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• pp.124-130
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• 1998

High-speed 3D vision systems are essential for autonomous robot or vehicle control applications. In our study, a stereo vision process has been developed. It consists of three steps : extraction of edges in right and left images, matching corresponding edges and calculation of the 3D map. This process is implemented in a VME 150/40 Imaging Technology vision system. It is a modular system composed by a display, an acquisition, a four Mbytes image frame memory, and three computational cards. Programmable accelerator computational modules are running at 40 MHz and are based on TMS320C31 DSP with a $64{\times}32$ bit instruction cache and two $1024{\times}32$ bit internal RAMs. Each is equipped with 512 Kbytes static RAM, 4 Mbytes image memory, 1 Mbytes flash EEPROM and a serial port. Data transfers and communications between modules are provided by three 8 bit global video bus, and three local configurable pipeline 8 bit video bus. The VME bus is dedicated to system management. Tasks between DSPs are distributed as follows: two DSPs are used to edges detection, one for the right image and the other for the left one. The last processor computes the matching process and the 3D calculation. With $512{\times}512$ pixels images, this sensor generates dense 3D maps at a rate of about 1 Hz depending of the scene complexity. Results can surely be improved by using a special suited multiprocessors cards.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.1-21
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• 2012

In recent years, mobile phone has experienced an extremely fast evolution. It is equipped with high-quality color displays, high resolution cameras, and real-time accelerated 3D graphics. In addition, some other features are includes GPS sensor and Digital Compass, etc. This evolution advent significantly helps the application developers to use the power of smart-phones, to create a rich environment that offers a wide range of services and exciting possibilities. To date mobile AR in outdoor research there are many popular location-based AR services, such Layar and Wikitude. These systems have big limitation the AR contents hardly overlaid on the real target. Another research is context-based AR services using image recognition and tracking. The AR contents are precisely overlaid on the real target. But the real-time performance is restricted by the retrieval time and hardly implement in large scale area. In our work, we exploit to combine advantages of location-based AR with context-based AR. The system can easily find out surrounding landmarks first and then do the recognition and tracking with them. The proposed system mainly consists of two major parts-landmark browsing module and annotation module. In landmark browsing module, user can view an augmented virtual information (information media), such as text, picture and video on their smart-phone viewfinder, when they pointing out their smart-phone to a certain building or landmark. For this, landmark recognition technique is applied in this work. SURF point-based features are used in the matching process due to their robustness. To ensure the image retrieval and matching processes is fast enough for real time tracking, we exploit the contextual device (GPS and digital compass) information. This is necessary to select the nearest and pointed orientation landmarks from the database. The queried image is only matched with this selected data. Therefore, the speed for matching will be significantly increased. Secondly is the annotation module. Instead of viewing only the augmented information media, user can create virtual annotation based on linked data. Having to know a full knowledge about the landmark, are not necessary required. They can simply look for the appropriate topic by searching it with a keyword in linked data. With this, it helps the system to find out target URI in order to generate correct AR contents. On the other hand, in order to recognize target landmarks, images of selected building or landmark are captured from different angle and distance. This procedure looks like a similar processing of building a connection between the real building and the virtual information existed in the Linked Open Data. In our experiments, search range in the database is reduced by clustering images into groups according to their coordinates. A Grid-base clustering method and user location information are used to restrict the retrieval range. Comparing the existed research using cluster and GPS information the retrieval time is around 70~80ms. Experiment results show our approach the retrieval time reduces to around 18~20ms in average. Therefore the totally processing time is reduced from 490~540ms to 438~480ms. The performance improvement will be more obvious when the database growing. It demonstrates the proposed system is efficient and robust in many cases.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2006.06a
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• pp.13-16
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• 2006

사진을 찍을 때 카메라는 보기 좋은 사진을 얻을 수 있도록 많은 기능을 제공하고 있다. 대표적인 기능으로 자동 초점거리 조정(Auto Focus), 자동 색온도 보정(Auto White Balance), 자동 노출 조정(Auto Exposure)이 있다. 본 논문에서는 편리한 기능들 중 하나로써 자동 노출제어 시스템을 구현하였다. 본 논문에서 제안하는 자동 노출제어 시스템은 가변 시상수(Variable Time Constant)를 가지는 IIR 필터를 이용한다. Zone System에서 보여주는 사물의 휘도정보를 바탕으로 하여 이상적인 영상의 휘도 특성 그래프를 얻어내고, 이와 현재의 노출설정에서 휘도와 비교하여 적정 노출을 찾는다. 제안하는 자동 노출제어 시스템은 적정 노출을 얻을 수 있는 위치로 이동하기 위하여 기존의 마이크로 콘트롤러 등을 이용하여 구현하는 방법과 달리 간단한 구성을 가지는 IIR 필터를 이용한다. 제안하는 자동 노출제어 시스템은 간단한 구성을 가지므로 콤팩트 이미지 센서를 구성하기 위하여 사용 할 수 있다.

• Smart Media Journal
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• v.3 no.1
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• pp.22-27
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• 2014

Recently, domestic energy environment is facing new challenges owing to the depletion of fossil fuel such as oil. Renewable energy resources including solar and wind energy are attracting more interests than ever before. However, solar power system is costly in comparison with the conventional power generation systems and also the energy density is low. Furthermore, large area is required in order to install solar power system. Generally, performance of solar power system is affected by weather conditions and alignment of sun and the solar cell modules. In this study, a new type of sun tracking system for solar power system is proposed. To verify the feasibility of the proposed system, actual implementation of prototype system and experiments are carried out.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.620-623
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• 2009

프레임 단위로 처리하는 카메라 영상 처리 기술에는 AWB, AE, AF 등이 있으며, AF는 고가의 초점제어 장치를 필요로 하기 때문에, AWB와 AE만이 모든 카메라에 기본적으로 탑재되는 핵심기능이다. ODM은 AWB나 AE 동작을 위해서 필요한 파라미터를 프레임 단위로 계산하는 하드웨어 모듈을 지칭한다. 본 논문에서는 R, G, B 평균값으로부터 밝기값을 연산하는 수식을 단순화하고, AE ODM과 AWB ODM을 통합하여, AE와 AWB에서 필요로 하는 모든 가산/제산 연산을 단 한 개의 가산기와 제산기를 이용하여 구현되는 ODM 구조를 제안한다. 제안한 ODM 구조 최소한의 연산자만을 사용하도록 구현되기 때문에, ISP를 내장하는 저가형 이미지 센서에 적합한 특성을 가진다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.2
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• pp.322-329
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• 2007

A single pixel photon counting type image sensor which is applicable for medical diagnosis with digitally obtained image and industrial purpose has been designed with $0.18{\mu}m$ triple-well CMOS process. The designed single pixel for readout chip is able to be operated by single supply voltage to simplify digital X-ray image sensor module and a preamplifier which is consist of folded cascode CMOS operational amplifier has been designed to enlarge signal voltage(${\Delta}Vs$), the output voltage of preamplifier. And an externally tunable threshold voltage generator circuit which generates threshold voltage in the readout chip has been newly proposed against the conventional external threshold voltage supply. In addition, A dark current compensation circuit for reducing dark current noise from photo diode is proposed and 15bit LFSR(Linear Feedback Shift Resister) Counter which is able to have high counting frequency and small layout area is designed.

• The Journal of Bigdata
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• v.7 no.1
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• pp.15-27
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• 2022

In the past five years, the fatality rate of single-vehicle accidents has been 4.7 times higher than that of all accidents, so it is necessary to establish a system that can detect and respond to single-vehicle accidents immediately. The IoT(Internet of Thing)-based real-time traffic accident recognition system proposed in this study is as following. By attaching an IoT sensor which detects the impact and vehicle ingress to the guardrail, when an impact occurs to the guardrail, the image of the accident site is analyzed through artificial intelligence technology and transmitted to a rescue organization to perform quick rescue operations to damage minimization. An IoT sensor module that recognizes vehicles entering the monitoring area and detects the impact of a guardrail and an AI-based object detection module based on vehicle image data learning were implemented. In addition, a monitoring and operation module that imanages sensor information and image data in integrate was also implemented. For the validation of the system, it was confirmed that the target values were all met by measuring the shock detection transmission speed, the object detection accuracy of vehicles and people, and the sensor failure detection accuracy. In the future, we plan to apply it to actual roads to verify the validity using real data and to commercialize it. This system will contribute to improving road safety.

• Smart Media Journal
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• v.11 no.2
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• pp.63-69
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• 2022

As the use of various IoT devices increases, the importance of IoT platforms is also rising. Recently, artificial intelligence technology is being combined with IoT devices, and research applying a neuromorphic architecture to IoT devices with low power is also increasing. In this paper, an application scenario is proposed based on NA-IDE (Neuromorphic Architecture-based autonomous IoT application integrated development environment) with IoT devices and FPGA devices in a GUI format. The proposed scenario connects a camera module to an IoT device, collects MNIST dataset images online, recognizes the collected images through a neuromorphic board, and displays the recognition results through a device module connected to other IoT devices. If the neuromorphic architecture is applied to many IoT devices and used for various application services, the autonomous IoT application integrated development environment based on the neuromorphic architecture is expected to emerge as a core technology leading the 4th industrial revolution.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.7
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• pp.1435-1440
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• 2017

Recently, VR and AR are emerging as an area of interest in ICT. In virtual reality to feel like a real, many people are looking for them because of its charm. However, the motion of the VR image and the moving object are not synchronized exactly, and a problem of feeling nausea is also occurring. The problem should be solved by the application of Attraction in the VR system. In this paper, we propose a module that minimizes delay time by synchronizing movement of VR image and moving object. The proposed module calculates the moving distance using the direction and the acceleration sensor that the user views through the VR device. The module proposed in this paper will pay attention to the fact that the movement of the attraction moves along a fixed path, so that the accurate travel distance can be calculated.