• 대한전기학회논문지:시스템및제어부문D
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• 제49권12호
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• pp.651-658
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• 2000

This paper presents a new method to extract traffic information such as number of passing vehicles and average speed by a pair of stereo road images. The whole process consists of the extraction of vehicles and the tracking of the extracted vehicles. For the extraction of vehicles, the outline of each vehicle is obtained by using binary region growing technique applied to disparity map based on multi-resolution stereo matching. The Kalman filter tracking algorithm is applied to the extracted vehicle outlines to determine the flow of vehicles. Experimental results show that the proposed method significantly improved recognition rate of vehicles over the conventional methods-frame difference and background elimination methods.

• 전자공학회논문지B
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• 제33B권3호
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• pp.88-95
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• 1996

Recently, the use of color data is growing fast in the area of image processing. To represent full resolution image on a limited output device, image has to be quantized an dithered. So, many dithering techniques are foundd in the printing. In this paper, we propose nonlinear quantization to consider the overlapping phenomena of neighboring printing dots and modified dot diffusion algorithm to compensate the color degradation produced in the quantization process. In the modified dot-diffusion quantization errors to be diffused are adjusted to improve both image blur and color change produced in the dot diffusion. The printed image obtained by the proposed color dithering method has higher visual quality an less color degradation than the images by conventional printing method.

• 대한전기학회논문지
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• 제36권4호
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• pp.231-239
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• 1987

Distribution system is one of large and complicated sytem, consisted of a great number of components. Therefore efficient operation based on precise analysis and computation methods is indispensable accommodating growing loads. This paper describes an optimal operation problem to relieve overload flow in radial distribution systems by using modified block model. The problem is formulated as a network problem of synthesizing the optimal spanning tree in a graph, branch and bound method is used for the optimization. Especially modified block model proposed in this paper is validated more practical than conventional model. These methods can be applied to two types of distribution system problems such as, 1) planning problem to check the capability of relieving overload at normal rating, 2) emergency operation problem to determine switching scheme for minimizing customer loads affected by a fault. Examples of application to these problems are discussed.

• 한국수산과학회지
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• 제26권3호
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• pp.205-213
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• 1993

APHA-MPA(American Public Health Association-Most Probable Numbers)은 환경수중에 존재하는 위생지표세균 추정에 사용되는 미국 FDA의 유일한 공인방법이기는 하나 결과를 얻기까지 많은 시간, 인력 및 경비가 소요될 뿐 아니라 일반적으로 정밀도도 낮다는 결점이 있다. 이러한 문제를 극복하기 위하여 개발된 막여과 방법중 mTEC(membrane thermotolerant E. coli)은 분변계대장균 및 E. coli의 회수율이 좋을 뿐 아니라 경비도 절약할 수 있는 방법으로서 알려져 있어, 미국 Rhode Island주의 Greenwich Bay의 위생조사를 통하여 MPN과 비교하여 보았다. 그 결과 mTEC의 분변계 대장균 및 E. coli 회수율은 MPN보다 평균치로써 각각 1.08 및 1.27배 높게 나타나, MPN의 대체 방법으로서의 가능성이 확인되었으며, 따라서 이 방법이 앞으로 위생지표세균의 검출방법으로서 공인된다면 우리나라 수출용 패류생산 지정해역의 관리는 물론 패류양식장의 위생학적인 분류도 효율적으로 할 수 있으리라 기대된다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.30-33
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• 2002

To obtain good performance of radial basis function (RBF) neural networks, it needs very careful consideration in design. The selection of several parameters such as the number of centers and widths of the radial basis functions must be considered carefully since they critically affect the network's performance. We propose a learning algorithm for growing of complexity of RBF neural networks which is adapted automatically according to the complexity of tasks. The algorithm generates a new basis function based on the errors of network, the percentage of decreasing rate of errors and the nearest distance from input data to the center of hidden unit. The RBF's center is located at the point where the maximum of absolute interference error occurs in the input space. The width is calculated based on the standard deviation of distance between the center and inputs data. The steepest descent method is also applied for adjusting the weights, centers, and widths. To demonstrate the performance of the proposed algorithm, general problem of function estimation is evaluated. The results obtained from the simulation show that the proposed algorithm for RBF neural networks yields good performance in terms of convergence and accuracy compared with those obtained by conventional multilayer feedforward networks.

• 대한치과교정학회지
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• 제45권4호
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• pp.209-214
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• 2015

Maxillary protraction is the conventional treatment for growing Class III patients with maxillary deficiency, but it has undesirable dental effects. The purpose of this report is to introduce an alternative modality of maxillary protraction in patients with dentoskeletal Class III malocclusion using a modified C-palatal plate connected with elastics to a face mask. This method improved skeletal measurements, corrected overjet, and slightly improved the profile. The patients may require definitive treatment in adolescence or adulthood. The modified C-palatal plate enables nonsurgical maxillary advancement with maximal skeletal effects and minimal dental side effects.

• Child Health Nursing Research
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• 제21권3호
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• pp.272-284
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• 2015

Purpose: The purpose of the study was to describe the parenting experience of parents of children with chronic illness in Korea. Methods: A conventional contents analysis was used for the study. Twelve mothers of chronically ill children participated in the study. Qualitative data were analyzed using the Morse and Field method. Results: Four categories, 10 subcategories and 42 codes emerged from the data on the parenting experience of parents of children with chronic illness. The four categories were 'Sacrifice and full-engagement within self-mortification', 'Re-normalization of collapsed daily life', 'Paving a new way for independence' and 'Growing together of myself and the family'. Conclusion: Parents of children with chronic illness experienced not only negative aspects such as a confusion but also re-normalization and growing together. Based on the results, health professionals need to develop effective nursing interventions toward positive parenting for these parents and their children with chronic illnesses.

• 대한임베디드공학회논문지
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• 제14권6호
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• pp.295-311
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• 2019

The smart product market is growing year by year and is being used in many areas. There are various ways of interacting with smart products and users by inputting voice recognition, touch and finger movements. It is most important to detect an accurate hand region as a whole step to recognize hand movement. In this paper, we propose a method to detect accurate hand region in real time in various environments. A conventional method of detecting a hand region includes a method using depth information of a multi-sensor camera, a method of detecting a hand through machine learning, and a method of detecting a hand region using a color model. Among these methods, a method using a multi-sensor camera or a method using a machine learning requires a large amount of calculation and a high-performance PC is essential. Many computations are not suitable for embedded systems, and high-end PCs increase or decrease the price of smart products. The algorithm proposed in this paper detects the hand region using the color model, corrects the problems of the existing hand detection algorithm, and detects the accurate hand region based on various experimental environments.

• 한국정보통신학회논문지
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• 제24권8호
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• pp.1058-1063
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• 2020

본 논문에서는 IT 접지 시스템의 감전 및 화재사고 방지를 위한 새로운 절연 저항 계산 기법을 소개한다. 최근 신재생 에너지와 에너지 저장 장치의 확대 보급으로 태양광 발전 시장이 급속하게 성장하고 있으나 절연이 파괴되어 화재사고가 빈번히 발생함에 따라 IT 접지 방식에도 절연 저항 상태를 감시하는 장치가 필수적으로 요구되고 있다. 제안하는 절연 저항 계산 기법은 기존의 고정된 시정수곱 계수기반의 알고리즘에 비해 절연 임피던스의 조건에 따라 동적시정수곱계수를 적용함으로써 넓은 절연 저항 범위에서 빠른 응답 시간과 높은 정확도를 갖는다. 제안하는 동적 시정수 기반 절연 저항 계산 기법은 기존의 방법에 비해 최대 응답 시간은 39.29초, 오차율은 20.11%를 개선시키는 효과를 보였다.

• 한국중재학회지:중재연구
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• 제31권1호
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• pp.155-171
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• 2021

Recently, the e-business market has become a place of convergence where consumers and suppliers communicate with each other, and a new method of trading of funds has emerged in the process. Crowd-funding is one of the types of money transactions that have emerged in the online space, and its interest and trading volume have been growing rapidly recently. The platform in the online space using crowd-funding method operates in the form of online telecommunication sales, and it is in the form of producing and delivering products based on funds obtained from potential consumers by the operators involved in securing funds. However, if the participating business operators do not deliver the product or deliver the product other than the promoted product and avoid responsibility, the potential demander will not be compensated without mediation by the platform operating entity. In this study, despite the rapid growth in the market size of crowd-funding, consumers who participated in the funding are protected and able to resolve disputes in the event of a conflict amid growing complaints from potential consumers and side effects. The structure or method of crowd-funding is a new form of trading that has different features from conventional e-commerce. Therefore, the legal basis is not yet in place and the standards need to be laid out through various and sufficient discussions politically, legally, socially and culturally and economically. As the potential market and positive effects of crowd-funding around the world have been recognized, a role is required as an ecosystem for new financial transactions. And the potential market could be realized as a new industry if the right legal system and policy consultation were made.