• 한국통신학회논문지
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• 제37C권10호
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• pp.925-932
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• 2012

본 논문에서는 패턴 인식 알고리즘을 기반으로 인간 형태를 가진 휴머노이드 로봇의 보행 동작을 제어하는 경로 인식 시스템을 개발하였다. 휴머노이드 로봇이 효과적인 작업 수행을 할 수 있도록 행동 프리미티브를 정의 하였으며, Canny 에지 검출 알고리즘을 적용한 보도 블록의 패턴 및 색상 추출, 이를 기반으로 한 이동 방향을 인식하는 알고리즘 제안하고, 리눅스 운영체제와 영상 카메라가 장착된 소형 휴머노이드 임베디드 시스템에 구현하였다. 제안 알고리즘의 성능 실험을 휴머노이드 로봇의 동작 속도 및 인식율에 관점에서 수행하였으며, 다양한 현실 환경을 반영하기 위해 경사도 및 조도 변화를 적용하였다. 실험 결과 제안 알고리즘은 다양한 환경에서 시각 장애인의 길안내 도우미 로봇으로서 적절한 수준에서 반응함을 확인하였다.

• 정보처리학회논문지C
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• 제9C권1호
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• pp.1-8
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• 2002

디지털 이미지 워터마킹(digital image watermarking)은 이미지 소유자의 정보를 디지털 이미지 속에 삽입시켜 이미지 소유자의 저작권을 보호하는 것을 목적으로 하는 기법이다. 저작권 보호를 위한 디지털 이미지 워터마킹 기법은 기존의 스테가노그라피(steganography)보다 워터마킹 공격에 대한 견고성과 육안적 비구별성을 동시에 추구해야 하고, 워터마킹 알고리즘의 은닉성 대신 키의 은닉성이 보장되어야 하며, 암호학과 마찬가지로 키의 사용으로 허가받지 않은 사용자의 워터마크 검출을 방지할 수 있어야 한다. 본 논문에서는 암호학 함수인 ElGamal함수를 사용하는 워터마킹 기법을 제안한다. 일방향 해쉬 함수를 구현하기 위해 ElGamal일방향 함수와 모듈라 연산을 사용한다. 제안하는 워터마킹 기법은 LSB(least significant bit)공격과 감마 보정 공격에 대해 견고하며 육안적 비구별성(perceptual invisibility)이 높다. 제안하는 워터마킹 기법의 실제 구현 및 실험을 통한 실험 결과를 분석하여 견고성과 육안적 비구별성의 특징을 확인한다 향후 과제로, 키생성을 위한 의사난수성과 비대칭키의 생성을 동시에 달성시키는 알고리즘 연구가 요구된다.

• Journal of Power Electronics
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• 제11권5호
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• pp.759-766
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• 2011

This paper focuses on monitoring and predicting the short circuit faults of the rotor windings of large turbo-generator systems. For the purpose of increasing efficiency and decreasing maintenance cost, a method that combines the HHT (Hilbert Huang Transform) with a wavelet has been studied. This method is based on analyzing a classical Albright detecting coil. Due to the Empirical Mode Decomposition (EMD) and the Intrinsic Mode Functions (IMF) of the HHT the exact location of a short circuit of rotor windings may be given. However, a part of the useful information is eliminated by the unreasonable decomposing scale of the wavelet. Based on the thermodynamics modeling method, this study was illustrated with a 50MW turbo-generator system that is installed in Northern China. The analysis results, which have very good agreement with those of a previous study, show that the method of combining the HHT with a wavelet is an effective way to analyze and predict the short circuit faults of the rotor windings of large generators, such as supercritical turbo-generator systems and wind turbo-generator systems. This work can offer a useful reference for analyzing smart grids by improving the power quality of a distribution network that is supplied by a turbo-generator system.

• 센서학회지
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• 제25권6호
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• pp.383-387
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• 2016

Well-ordered nanocolumnar indium oxide ($In_2O_3$) thin films have been successfully fabricated by glancing angle deposition (GAD) using an e-beam evaporator. Nanocolumnar structures have a porous and large surface area with a narrow neck between nanocolumns, which allows them to detect minute amounts of gases. The nanocolumnar $In_2O_3$ thin films were fabricated by the GAD process at five different positions, viz. top, bottom, center, left, and right in a four inch substrate holder. There was a divergence in the thickness and the base resistance of each sensor. However, all the sensors exhibited extremely high sensitivity that was greater than $10^3$ times the change in electrical resistance after being exposed to 50 ppm of acetone gas at $300^{\circ}C$. Furthermore, the nanocolumnar $In_2O_3$ sensors displayed an extremely low detection limit (1.2 ppb) in dry atmosphere as well as in high humidity (80%). We demonstrated that the GAD nanocolumnar $In_2O_3$ sensors have an enormous potential for many applications owing to their particularly simple and reliable fabrication process.

• 센서학회지
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• 제5권3호
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• pp.41-48
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• 1996

SOx 가스를 고감도로 감지할 수 있는 SAW 가스 센서를 개발하였다. 이는 SAW device 위에 SOx 가스에 감응하는 재료를 박막으로 증착함으로써 고감도의 마이크로 센서형으로 한 것이다. SOx 감응 재료로서 CdS를 선정하였으며, 이를 SAW device 위에 박막화하기 위해 초음파 분무 노즐을 이용한 분무 열분해의 박막 증착공정을 응용하였다. 초음파 분무 노즐을 통하여 생성된 균일하고 미세한 입자들은 기판위에서 안정한 열분해 환경을 조성함으로써 센서 감응막을 위한 넓은 표면적의 박막을 증착 시켰는데 기판의 온도는 $300^{\circ}C$ 내외에서 최소 50 nm수준의 결정립의 박막을 얻었다. 이렇게 하여 얻은 SAW 가스 센서는 $SO_{2}$ 가스에 감응하였으며 재현성도 보였다. 다른 가스의 존재하에서 $SO_{2}$ 가스에 대한 선택성에 관하여는 계속적인 연구가 필요하다.

• 센서학회지
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• 제29권6호
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• pp.420-426
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• 2020

A metal oxide semiconductor gas sensor is operated by measuring the changes in resistance that occur on the surface of nanostructures for gas detection. ZnO, which is an n-type metal oxide semiconductor, is widely used as a gas sensor material owing to its high sensitivity. Various ZnO nanostructures in gas sensors have been studied with the aim of improving surface reactions. In the present study, the sol-gel and vapor phase growth techniques were used to fabricate nanostructures to improve the sensitivity, response, and recovery rate for gas sensing. The sol-gel method was used to synthesize SnO₂ nanoparticles, which were used as the seed layer. The nanoparticles size was controlled by regulating the process parameters of the solution, such as the pH of the solution, the type and amount of solvent. As a result, the SnO₂ seed layer suppressed the aggregation of the nanostructures, thereby interrupting gas diffusion. The ZnO nanostructures with a sol-gel processed SnO₂ seed layer had larger specific surface area and high sensitivity. The gas response and recovery rate were 1-7 min faster than the gas sensor without the sol-gel process. The gas response increased 4-24 times compared to that of the gas sensor without the sol-gel method.

• 대한지역사회영양학회지
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• 제11권6호
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• pp.779-784
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• 2006

Several studies about hospital malnutrition have been reported that about more than 40% of hospitalized patients are having nutritional risk factors and hospital malnutrition presents a high prevalence. People in a more severe nutritional status ended up with a longer length of hospital stay and higher hospital cost. Nutrition screening tools identify individuals who are malnourished or at risk of becoming malnourished and who may benefit from nutritional support. For the early detection and treatment of malnourished hospital patients , few valid screening instruments fur Koreans exist. Therefore, the aim of this study was to develop a simple, reliable and valid malnutrition screening tool that could be used at hospital admission to identify adult patients at risk of malnutrition using medical electrical record data. Two hundred and one patients of the university affiliated medical center were assessed on nutritional status and classified as well nourished, moderately or severely malnourished by a Patient-Generated subjective global assessment (PG-SGA) being chosen as the 'gold standard' for defining malnutrition. The combination of nutrition screening questions with the highest sensitivity and specificity at prediction PG-SGA was termed the nutrition screening index (NSI). Odd ratio, and binary logistic regression were used to predict the best nutritional status predictors. Based on regression coefficient score, albumin less than 3.5 g/dl, body mass index (BMI) less than $18.5kg/m^2$, total lymphocyte count less than 900 and age over 65 were determined as the best set of NSI. By using best nutritional predictors receiver operating characteristic curve with the area under the curve, sensitivity and 1-specificity were analyzed to determine the best optimal cut-off point to decide normal or abnormal in nutritional status. Therefore simple and beneficial NSI was developed for identifying patients with severe malnutrition. Using NSI, nutritional information of the severe malnutrition patient should be shared with physicians and they should be cared for by clinical dietitians to improve their nutritional status.

• Journal of Electrical Engineering and Technology
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• 제9권5호
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• pp.1704-1711
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• 2014

Sandy and dusty weather condition often occurs in the high altitude areas of China, which may greatly influence the corona generated radio interference (RI) characteristics of the bundle conductors of 750 kV AC power transmission lines. Corona generated RI of the conductors of the 750 kV AC power transmission lines used in practice is measured by EMI receiver with a coupling circuit and a coupling capacitor connected between the high voltage side and the earth side in fine and sandy and dusty condition. The measuring frequency is 0.5 MHz, and the quasi-peak detection is used. RI excitation function is calculated based on the corona RI current measured by the EMI receiver. Corona generated RI characteristics were analyzed from sand concentration and sand particle size. The test result shows that the corona generated RI excitation function is influenced by the sandy and dusty condition. Corona discharge of the conductors is more serious in sandy and dusty condition with an ultraviolet (UV) detector. Corona generated RI excitation function increases with the increase of sand concentration and also increases with the increase of particle size.

• 한국정보통신학회논문지
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• 제10권11호
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• pp.2055-2061
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• 2006

디지털 영상에서 기하학적인 요소들을 찾아내는 일은 컴퓨터 비전 분야에서 기본적인 작업 중 하나이며, 허프변환(Hough transform)은 파라미터로 표현되는 기하학적 요소 추출을 위 해 널리 사용되고 있는 방법 중 하나이다. 하지만 허프 변환은 영상의 한 픽셀이 허프 공간의 한 방정식에 대응되는 일대다 특성으로 인해 잡음에 민감한 특성을 갖는다. 이 논문에서는 이러한 잡음 민감성을 줄이는 방법으로 경계선 강도를 이용한 허프 변환을 제안하고, 이를 허프 공간에서의 피크 비(peak ratio)를 이용하여 증명하였다. 또한 직선을 대상으로 한 실험을 통하여 이를 확인하였다. 실험 결과, 제안한 경계선 강도 허프 변환은 기존의 허프 변환에 비해 잡음에 의해 검출되는 직선의 수가 줄어드는 것을 확인할 수 있었다.

• 한국군사과학기술학회지
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• 제10권3호
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• pp.139-147
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• 2007

In military transportation, the use of wide trailer for transporting the large and heavy weight equipments such as tank, armoured vehicle, and mobile gunnery is quite common. So, the vulnerability of causing traffic accidents for these wide military trailer to bump or collide with another car in adjacent lane is very high due to its broad width in excess of its own lane's width. Also, the possibility of these strayed accidents can be increased especially by the careless driver. In this paper, the recognition system of lane and vehicle headway direction is developed to detect the possible collision and warn the driver to prevent the fatal accident. In the system development, Kalman filtering is used first to extract the border of driving lane from the video images supplied by the CCD camera attached to the vehicle and the driving lane detection is completed with regression analysis. Next, the vehicle headway direction is recognized by using neural network scheme with the extracted parameters of the detected driving lane feature. The practical experiments for the developed system are also carried out in the real traffic road of Seoul city area and the results show us the more than 90% accuracy in recognizing the driving lane and vehicle headway direction.