• Imaging Science in Dentistry
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• 제46권4호
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• pp.245-249
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• 2016

Purpose: This study was designed to evaluate differences in the required visibility of anatomic structures according to the diagnostic tasks of implant planning and periapical diagnosis. Materials and Methods: Images of a real skull phantom were acquired under 24 combinations of different exposure conditions in a cone-beam computed tomography scanner (60, 70, 80, 90, 100, and 110 kV and 4, 6, 8, and 10 mA). Five radiologists evaluated the visibility of anatomic structures and the image quality for diagnostic tasks using a 6-point scale. results: The visibility of the periodontal ligament space showed the closest association with the ability to use an image for periapical diagnosis in both jaws. The visibility of the sinus floor and canal wall showed the closest association with the ability to use an image for implant planning. Variations in tube voltage were associated with significant differences in image quality for all diagnostic tasks. However, tube current did not show significant associations with the ability to use an image for implant planning. conclusion: The required visibility of anatomic structures varied depending on the diagnostic task. Tube voltage was a more important exposure parameter for image quality than tube current. Different settings should be used for optimization and image quality evaluation depending on the diagnostic task.

• Journal of Ginseng Research
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• 제20권1호
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• pp.65-71
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• 1996

This study was undertaken to evaluate the automatic decision-making on the grading of 6-year-old fresh ginseng (Panax ginseng C.A. Meyer) by an image analyzer. The best input method for the 6-year-old fresh ginseng was under condition of a low resolution (128u 128 pixel) and illumination direction from bottom to up (light box). It was possible to identify the main root, lateral root, and rhizome of fresh ginseng by application of OPEN process in a function of an image analyzer. Finally, we developed the grade decision-making programs, GinP-1. The fitness rates for the fresh ginseng standards which were classified by experts were 94.6, 80.6, 81.5, and 100.0% for 1st, 2nd, 3rd, and 4th grade of fresh ginseng, respectively, and the total time of decision-making was about 4.3 seconds per one root. The decision-making time was reduced to 0.8 seconds per one root by enhancemeat of the Image analyzer, which was tested by the technical company of the image analyzer,'Carl Zeiss (Germany). As a result of this study, the automatic decision-making on the grade of fresh gin send by image analyzer seems to have high possibility.

• Current Optics and Photonics
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• 제5권5호
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• pp.514-523
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• 2021

Methods for absolute depth estimation have received lots of interest, and most algorithms are concerned about how to minimize the difference between an input defocused image and an estimated defocused image. These approaches may increase the complexity of the algorithms to calculate the defocused image from the estimation of the focused image. In this paper, we present a new method to recover depth of scene based on a sharpness-assessment algorithm. The proposed algorithm estimates the depth of scene by calculating the sharpness of deconvolved images with a specific point-spread function (PSF). While most depth estimation studies evaluate depth of the scene only behind a focal plane, the proposed method evaluates a broad depth range both nearer and farther than the focal plane. This is accomplished using an asymmetric aperture, so the PSF at a position nearer than the focal plane is different from that at a position farther than the focal plane. From the image taken with a focal plane of 160 cm, the depth of object over the broad range from 60 to 350 cm is estimated at 10 cm resolution. With an asymmetric aperture, we demonstrate the feasibility of the sharpness-assessment algorithm to recover absolute depth of scene from a single defocused image.

• Asia pacific journal of information systems
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• 제26권2호
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• pp.247-262
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• 2016

Almost all Koreans recognize the Dolhareubang as a representative symbol of Jeju. However, as the development of online technology progressed, the image and perception of the Dolhareubang is also expected to change. Thus, this study explored the perceived images of Dolhareubang by focusing on residents in Seoul, Korea using Q methodology. The goal of this research was to evaluate this iconic representation of Jeju as an important component of the island's online tourism destination image. The Q-set was developed from existing literature and defined conceptually in terms of 'value', 'resource', 'story', and 'image'. Thirty five respondents were recruited as P set. Findings indicated four distinctive clusters that perceived the Dolhareubang differently and differences in perceptions were observed in terms of age. The examination of destination image and the exploration of the perceptions of Dolharuebang as a representative of Jeju could contribute to online destination image management or development, which is a crucial component of smart tourism.

• 한국식품조리과학회지
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• 제23권1호통권97호
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• pp.9-18
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• 2007

This study was designed to evaluate the effects of hotel brand image on the job preference of students majoring in culinary art through the relationship between hotel brand image and internship satisfaction and internship expectation. The effects were also examined on the personal job preference and job potential as career to the internship. To analyze the proposed hypotheses, a survey questionnaire comprising 61 statements was administered to students majoring in culinary art in colleges located in Seoul and Gyunggi-do. Out of 450 respondents, 420 questionnaires were collected (93.3%) and 411 (91.3%) were analyzed using the statistical package SPSS 12.0. The following results were obtained. First, the regression analysis results for the correlation between hotel brand image and internship confirmed a significant effect of hotel brand image on the satisfaction of internship for students majoring culinary art. Second, according to the correlation results for the internship and job preference, both satisfaction and expectation on internship greatly affected the student's job preference. On the relationship between hotel brand image and internship expectation, the social image of the hotels provided a major contribution to the internship expectation. As well as the internship expectations, the hotel brand image was strongly related with the job preference.

• 핵의학기술
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• 제14권1호
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• pp.101-104
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• 2010

레이노 현상에 대한 검사 중 $^{201}Tl$을 이용한 검사에서 관류영상을 composite하여 혈액 풀 영상 과 국소 지연 영상 관찰 및 비교 시의 유용성에 대해서 평가하고자 한다. 2008년 2월부터 2009년 8월까지 레이노 현상을 호소로 경희대학교 동서 신의학병원 혈관외과를 찾은 29명을 대상으로 시행하였다. 방사성 동위원소는 $^{201}Tl$ 111 Mbq (3 mCi)를 검사부위 반대편 팔과 다리의 대각선 사지에 정맥 내 주사하였고, 최초 dynamic 관류 영상과 혈액 풀 영상 그리고 국소지연 영상을 저에너지 고해상도 조준기를 장착한 감마카메라를 이용하여 검사하였다. 보고자 하는 손 또는 발에 대한 관심영역(ROI : Region of Interest)은 관류영상을 composite한 영상과 혈액 풀 영상, 국소 지연 영상 순으로 양측을 동시 분석하였고 대응표본 T 검정(SPSS v12.0)을 이용하여 p-value를 측정하여 데이터의 상관관계를 확인하였다. 분석대상 29명의 레이노 환자(positive)에서 분석된 관류 composite 영상, 혈액 풀 영상, 국소 지연 영상에서 나타난 count ratio(Rt./Lt.)의 평균은 $1.25{\pm}0.39$, $1.20{\pm}0.33$, $1.11{\pm}0.17$이었다. 이를 바탕으로 혈액 풀 영상과 국소 지연 영상의 대응표본 T-검정결과 p<0.029를 만족했고, 또한 관류 composite 영상에 대한 혈액 풀 영상(p<0.038)과 국소 지연 영상 (p<0.016)이 각각 차이가 없음을 알 수 있었다. $^{201}Tl$을 이용한 Raynaud scan에서 관류 영상을 composite함으로써 혈액 풀 영상과 국소 지연 영상을 비교 평가하는데 도움을 줄 수 있었다. 또한 육안적 식별도 가능하여 향후 좀 더 깊이있는 연구가 진행된다면 보다 적절하고 유용한 진단적 정보를 얻을 수 있을 것으로 사료된다.

• 한국멀티미디어학회논문지
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• 제18권8호
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• pp.960-967
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• 2015

In this paper, we propose a user interface technique based on embedded sensors applying to apps in smart phone. Especially, we implement avata generation application using image filtering technique for photo image in smart phone. In the application, The embedded sensors are used as intuitive user interface to adjust the image filtering effect for making user satisfied effect in real time after the system produced the image filtering effect for avatar. This technique provides not a simple typed method of parameter values adjustment but a new intuitively emotional adjustment method in image filtering applications. The proposed technique can use sound values from embedded mike sensor for adjusting key values of sketch filter effect if the smart phone user produces sound. Similiarly the proposed technique can use coordinate values from embedded acceleration sensor for adjusting masking values of oil painting filter effect and use brightness values from embedded light sensor for adjusting masking values of sharp filter effect. Finally, we implement image filtering application and evaluate efficiency and effectiveness for the proposed technique.

• 제어로봇시스템학회논문지
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• 제5권5호
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• pp.558-567
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• 1999

X-ray laminography and DT(digital tomosynthesis) that can form a cross-sectional image of 3-D objects promis to be good solutions for inspecting interior defects of industrial products. DT is a kind of laminography technique and the difference is in the fact that it synthesizes the several projected images by use of the digitized memory and computation. The quality of images acquired from the DT system varies according to image synthesizing methods, the number of images used in image synthesizing, and X-ray projection angles. In this paper, a new image synthesizing method named 'log-root method' is proposed to get clear and accurate cross-sectional images, which can reduce both artifact and blurring generated by materials out of focal plane. To evaluate the quality of cross-sectional images, two evaluating criteria : (1) shape accuracy and (2) clearness of the cross-sectional images are defined. Based on these criteria, a series of simulations are performed, and the results show the superiority of the new synthesizing method over the existing ones such as averaging and minimum methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.392-412
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• 2018

Due to the semantic gap problem across different modalities, automatically retrieval from multimedia information still faces a main challenge. It is desirable to provide an effective joint model to bridge the gap and organize the relationships between them. In this work, we develop a deep image annotation and classification by fusing multi-modal semantic topics (DAC_mmst) model, which has the capacity for finding visual and non-visual topics by jointly modeling the image and loosely related text for deep image annotation while simultaneously learning and predicting the class label. More specifically, DAC_mmst depends on a non-parametric Bayesian model for estimating the best number of visual topics that can perfectly explain the image. To evaluate the effectiveness of our proposed algorithm, we collect a real-world dataset to conduct various experiments. The experimental results show our proposed DAC_mmst performs favorably in perplexity, image annotation and classification accuracy, comparing to several state-of-the-art methods.

• Architectural research
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• 제3권1호
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• pp.21-27
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• 2001

This study addressing the underlying strategies for Andong municipal museum complex development is in timely view that Andong has obtained a worldwide reputation as a treasury of traditional Korean Confucian culture. Thus far, there has been a tendency that various local museums are proposed to meet architectural aspirations architects and users commonly hold. Overall, though, the major role they play in making overall city image has not been considered in a systematic manner. Based on Lee's (2001) two previous studies, this study summarized the utility of cognitive distance and cognitive map concepts, which are proposed by Kevin Lunch (1976) to evaluate city image, in planning Andong municipal museum complex (AMMC). Sample is stratified into city residents and outsiders, and also into the general public and design-related professionals to see if there is any group difference in constructing their mental image. Three major findings are obtained. First, familiarity, so-called the degree of knowing, is the function of the length of stay in a designated area. That is, the longer people stay in Andong, the more likely they are familiar with its overall environmental aspects. Second, mental proximity of Andong municipal museum complex relative to existing cultural landmarks is closely related to the degree of how people value those landmarks in terms of their significance. Dosan Seowon and Hahoe folk village are most highly valued, which means higher proximity. Third, functional diversity turned out to be the most important design dimension, while display mechanism are least valued. Cognitive simulations of this sort are meaningful in that projected composite image might be a rough first approximation of true public image.