• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.121-122
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• 2015

In recent years, as people's attention on health, the demand for healthy crops such as mushrooms gradually increased. Farmers use plastic greenhouse cultivation mode more and more in order to reduce the impact of outdoor environment on crop cultivation, which requires farmers to adjust the greenhouse temperature at any time. But the majority of farmers still use a thermometer to measure temperature. This paper constructs an environment that can automatically adjust the temperature, so as to measuring temperature in real time, improving the efficiency of the farm work, and reducing unnecessary labor.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.830-833
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• 2016

자동차 번호판 인식은 대중적인 감시 기술 중의 한 종류로서, 주어진 비디오나 영상 내 광학문자 인식을 수반한다. 고속도로나 국도 상에 과속 단속 시스템, 재형 건물이나 유통센서 및 주차장 등에서 주차 정산 시스템, 고속도로 톨 게이트에서 hi-pass 에러 및 불법 도주 차량 잔속 시스템, 전국 주요 도로 불법 주 정차 단속 시스템, 공공기관, 기업 출퇴근 시간 확인 및 외부 차양 안내 시스템 등의 지능형 교통 시스템(ITS)이나 국도 상에 범위 차량 검거 시스템, 사건 발생 시 주요 도로상에 설치된 CCTV를 통해 용의 차량 이동 추적 시스템, 이동식 범죄 차량 조회, 버스에 탑재된 버스 전용차선 위반 단속들의 지능형 방범 시스템 등에 활용하고 있다. 번호판 인식은 자동차 번호판 국부화, 번호판의 크기, 차원, 명암대비, 밝기를 조정하는 정규화, 개별문자를 얻어내는 문자 분할, 문자를 인식하는 광학 문자 인식, 번호판의 형태, 크기, 위치 들이 연도별, 지역별로 차이가 있는 번호판들의 데이터베이스를 비교하여 구문 분석을 하는 절차를 거친다. 본 논문에서는 EmguCV를 이용하여 구현한 번호판 감지를 수행하여 위치를 찾아내고, 오픈 소스 광학 문자 인식 엔진으로 잘 알려져 있는 테서렉트 OCR을 이용하여 번호판의 문자를 인식하는 자동 인식 프로그램을 구현하고 기술하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.6C
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• pp.551-559
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• 2005

Estimation of unknown signal parameters with sensor array measurements has been investigated quite extensively. Also, there has been in recent years an explosive increase in the number of mobile users in wireless cellular systems, thus contributing to growing levels of multi-user interference. To overcome this problem, application of adaptive antenna array techniques to further increase the channel capacity has been discussed. In this paper, a new model of locally scattered signals in the vicinity of mobiles is proposed by defining the mean steering vector and is manipulated mathematically for several distributions. Under this model an estimation method of the angle of arrival(AOA) is investigated based on a weighted subspace fitting(WSF) technique. Statistical analysis and simulations are also considered.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.5
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• pp.297-305
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• 2015

AFLS (Adaptive front lighting System) is being applied to improve safety in driving automotive at night. Safe embedded system for controlling head-lamp has to be tightly designed by considering safety requirement of hardware-dependent software, which is embedded in automotive ECU(Electronic Control Unit) hardware under severe environmental noise. In this paper, we propose an adaptive headlight controller with newly-designed symmetric angle sensor compensator, which is integrated with ECU-based adaptive front light system. The proposed system, on which additional backup hardware and emergency control algorithm are integrated, effectively detects abnormal situation and restore safe status of controlling the light-angle in AFLS operations by comparing result in symmetric angle sensor. The controlled angle value is traced into internal memory in runtime and will be continuously compared with the pre-defined lookup table (LUT) with symmetric angle value, which is used in normal operation. The watch-dog concept, which is based on using angle sensor and control-value tracer, enables quick response to restore safe light-controlling state by performing the backup sequence in emergency situation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.11a
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• pp.120-123
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• 2013

본 논문에서는 키넥트 센서의 RGB영상을 이용하여 얼굴을 검출하고 검출된 영역의 깊이정보를 템플릿으로 사용하여 다수개의 얼굴을 추적하는 방법을 제안한다. 이 논문은 [1]의 단일 얼굴 추적방법을 다수의 얼굴을 추적하도록 확장한 것이다. 다수의 얼굴추적을 실시간으로 처리하기 위하여 영상을 down sampling 하여 사용한다. 얼굴 검출은 기본적으로 기존의 Adaboost 방법을 사용하나, 피부색만을 이용, 탐색영역을 최대한 축소하여 수행 시간 및 오검출율을 줄인다. 얼굴추적은 깊이정보를 템플릿으로 하며, 깊이값에 따라 크기, 탐색영역을 조정하고, 또한 일정 프레임마다 얼굴을 검출하며 겹침, 새로 나타남, 영상 밖으로 사라짐 등의 얼굴추적 시 발생하는 문제를 해결한다.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.6
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• pp.94-101
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• 2004

From the Beckmann's reflection model of wave incident, reflected light from a surface is known to have not only specular but also diffuse components. The specular component dominant a surface for a mirror-like surface is distributed on the almost the same area as the spot on the surface, but the diffuse component region dominant f3r a rough surface spreads scattered on the larger areas than the spot. Therefore, statistic parameters from the scattered light distribution are more meaningful in the diffuse region, while the magnitude of rather meaning in the specular region. In usual, there need two sensors to acquire two kinds of information: Photo-detector for light intensity magnitude and image sensor for light intensity distribution. But dual sensor scheme requires a beam splitter usually to feed light to each sensor, and moreover there is not a combination rule to relieve the different sensor characteristics. In this study a new method is proposed for acquisition of the dual information using only an image sensor. Specular region is established on an image area being distinguished from a diffuse component, and laser power is adjusted so that no pixel of the image sensor in the specular region is saturated. Simulation based on the light reflection theory and the experimental results are quite well matched, and thus the proposed method was proved to be very useful for mirror-like surface measurement.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.174-177
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• 2019

최근 ICT(Information Communications Technologies)의 발전과 센서 제조 공정의 발전을 통해 저용량, 경량 디바이스를 이용한 스마트 홈 시장이 성장하고 있다. 특히 스마트 홈 IoT의 환경은 모든 사물을 인터넷으로 연결하고 상호 통신을 통해 다양하고 많은 양의 정보를 수집하여 일상생활을 편리하게 해주는 IoT(Internet of Things)가 계속 증가하고 있다. 하지만, 이러한 증가량과 함께, 스마트 홈 환경에서 대한 기술표준화가 이루어지지 않았으며 원활한 서비스 제공 뿐만 아니라 보안 문제가 발생하고 있다. 특히, 이기종 네트워크, 디바이스를 사용하는 스마트 홈 IoT의 경우 다양한 인증 방법이 존재하며, 이에 따른 취약점이 발생하게 된다. 보안 취약점을 이용한 공격으로 개인정보 유출이나 경제적 손실 등 피해를 발생시키고 있으며, 추후 인명피해까지 발생할 수 있다. 따라서, 본 논문에서는 스마트홈 환경의 IoT 보안 방안에 대해 알아보고, 관련 보안사고의 사례 및 인증 기술을 살펴봄으로써 미래 스마트 홈 IoT 보안 기술의 발전과 적합한 보안 대책과 보안 취약점에 대한 보안 체계를 마련하는 것에 도움이 될 것이다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2012.05a
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• pp.28-30
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• 2012

A mechanical pulsator is manufactured for study of combustion instabilities in a model chamber with impinging-jet injectors. Artificial disturbance is generated by the device and thereby, artificial instability can be examined experimentally. A sample F(fuel)-O(dxidizer)-O-F impinging-jet injector is adopted for the test. The model chamber was designed based on the methodologies proposed in the previous work regarding geometrical dimensions and operating conditions. Pressure fluctuation data, which is obtained from the dynamic pressure transducers installed in combustion chamber, is analyzed.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.657-662
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• 2019

The power consumption of wearable sensors and electrocardiogram regulators should be very low to extend the network lifetime and anticipated QoS( : Quality of Service) control such as error correction and authentication of data processed by WBAN( : Wireless Body Area Network) nodes is important. Therefore, QoS control is the most urgent concern to implement WBAN in health monitoring regulations. For optimal QoS control, we compare the energy efficiency and the average number of transmissions with IEEE 802.15.6 and the error correction method considering energy efficiency. The performance of the proposed error correction technique shows that the energy efficiency and the transmission rate are improved by adjusting the coding rate appropriately using the channel estimation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.368-370
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• 2016

The purpose of the cultivated crops have been changes in the aim of improving quality production. In recent years, as people's attention on health, the demand for healthy crops such as mushrooms gradually increased. Farmers use plastic greenhouse cultivation mode more and more in order to reduce the impact of outdoor environment on crop cultivation, which requires farmers to adjust the greenhouse temperature at any time. But the majority of farmers still use a thermometer to measure temperature. This paper constructs an environment that can automatically adjust the temperature, so as to measuring temperature in real time, improving the efficiency of the farm work, and reducing unnecessary labor.