• 디지털콘텐츠학회 논문지
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• 제19권7호
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• pp.1389-1395
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• 2018

하이브리드는 교차, 섞임, 침투, 융해, 융 복합 등 결합의 논리를 근간으로 해서 설명되어진다. 이러한 결합은 동질과 동종의 경우보다 이질과 이종의 경우에 더 창의적이고 더 효율적임을 보여주고 있고, 하이브리드 캐릭터는 새로운 창조적 이미지를 생산하기 위한 수단으로써 그 의미를 가진다. 이러한 맥락에서 하이브리드 캐릭터의 조형요건이 소비자 선호도에 어떻게 작용하는지 실질적 분석을 통해 영향관계를 분석하고자 한다. 이를 위해 독립변인은 캐릭터 조형 요건을 친근성, 독창성, 의미성, 다양성으로, 종속변인은 소비자 선호도로 하여 다중회귀분석을 실시하였다. 분석결과, 친근성, 독창성, 다양성은 소비자에게 긍정적 영향을 미치는 것으로 나타났고, 의미성은 소비자 선호도에 유의미한 영향력이 없는 것으로 나타났다.

• 한국광학회지
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• 제30권4호
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• pp.142-145
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• 2019

일반적으로 체적형 방식의 디스플레이에는 큐브-모서리 재귀반사(corner cube retroreflector, CCRR)시트와 반투과 거울판이 사용되며, 이는 광원의 빛을 재귀반사시켜 부양영상(floating image)을 만든다. 이러한 기존 CCRR 방식은 광원의 강도를 1/4로 줄이는 반투막 투과 2회의 광손실과 각 단위 CCRR 크기에 의한 영상의 퍼짐 현상이 있다. 본 연구진이 제안하는 '혼성-병풍형' 구조 재귀반사(hybrid-t(transverse directional)-RRMA)는 광퍼짐을 최소화하여 부양영상의 품질을 향상시킬 뿐만 아니라, 광도를 4배로 높이며, 제작상의 편리함도 제공한다. '선형 v자 홈' (linear v-shaped groove)을 '포물선 v자 홈' (parabolic v-shaped groove)모양으로 조절한 재귀반사로 영상의 퍼짐을 개선하여 부양영상을 최적화하였고, '평면(flat wall) 재귀반사' 대신 '곡면(curved planar wall)-재귀반사' 구조를 적용한 '곡면-병풍형-재귀반사판'을 사용하여 반투과 거울판을 없애 반투막에 의한 광손실을 개선하고, 시스템을 단순화하였다.

• 한국광학회지
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• 제31권2호
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• pp.96-104
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• 2020

주간 무인 감시를 위하여 가시광 파장 범위인 400~700 nm에서 렌즈와 거울의 기능을 동시에 갖는 구멍 없는 하이브리드 렌즈를 활용한 반사굴절식 전방위 줌 광학계를 설계하고 그 성능을 분석하였다. 하이브리드 렌즈는 렌즈에 구멍을 뚫는 작업이 없고 광학 부품의 수량을 줄일 수 있기 때문에 전방위 줌 광학계의 제작과 조립에서 많은 장점을 갖는다. 이 광학계에서 결상된 도넛 형태의 상에서 안쪽의 압축된 낮은 공간주파수의 상 영역을 확대하여 보기 위해서 줌 렌즈의 기능을 추가한 전방위 광학계의 최적화 설계를 진행하였다. 그 결과 최적화 설계된 광학계의 변조전달함수, 스폿 다이어그램 분석, 공차 분석을 통해 이 광학계의 성능을 분석한 결과로부터 설계 목표 사양을 만족함을 알 수 있었다. 줌 광학계를 주밍할 때 -30~50℃의 온도 변화에 따른 비열화 해석을 한 결과, 적절한 렌즈의 재질을 선정하여 온도 변화에도 상 거리 변화가 거의 없는 광학계임을 확인하였다.

• 패션비즈니스
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• 제24권1호
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• pp.1-14
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• 2020

Based on the trend of pluralization and globalization the collapse of national borders now is a manifestation of mixed and compromised cultures and societies. It is also emerging as a hybrid fashion in fashion. Hybrid fashion means creating a new image by mixing various cultures beyond the time and space. This study aims to analyze the current state of Chinese fashion design and present its direction by grasping the characteristics of hybrids in the works of rising Chinese fashion designers in the era of pluralization. The research method was literature review and empirical research. According to the selection criteria of new fashion designers, 6 new fashion designers of 5 fashion brands were selected and their total 458 points works were analyzed. The analysis results are as follows. First, most of the time trade-offs were 'past and present' trade-offs that express Chinese traditional culture and the image of the past with modern design. The trade-offs between 'present and future' is expressed by mixing print patterns, colors and light with fractal art. Second, spatial trade-offs was expressed in the way of expressing Chinese themes in the composition of western clothing, expressing the Western themes in oriental colors, and inspired by Japanese culture expressed by deconstructionism, Third, the gender mix mainly used dark embroidery on women's clothing, while the men's wear showed a delicate feminine charm with a surreal pattern on thin and transparent gauze fabric.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.120-130
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• 2021

The spinal cord or CSF surgery is a very complex process. It requires continuous pre and post-surgery evaluation to have a better ability to diagnose the disease. To detect automatically the suspected areas of tumors and symptoms of CSF leakage during the development of the tumor inside of the brain. We propose a new method based on using computer software that generates statistical results through data gathered during surgeries and operations. We performed statistical computation and data collection through the Google Source for the UK National Cancer Database. The purpose of this study is to address the above problems related to the accuracy of missing hybrid KNN values and finding the distance of tumor in terms of brain cancer or CSF images. This research aims to create a framework that can classify the damaged area of cancer or tumors using high-dimensional image segmentation and Laplace transformation method. A high-dimensional image segmentation method is implemented by software modelling techniques with measures the width, percentage, and size of cells within the brain, as well as enhance the efficiency of the hybrid KNN algorithm and Laplace transformation make it deal the non-zero values in terms of missing values form with the using of Frobenius Matrix for deal the space into non-zero values. Our proposed algorithm takes the longest values of KNN (K = 1-100), which is successfully demonstrated in a 4-dimensional modulation method that monitors the lighting field that can be used in the field of light emission. Conclusion: This approach dramatically improves the efficiency of hybrid KNN method and the detection of tumor region using 4-D segmentation method. The simulation results verified the performance of the proposed method is improved by 92% sensitivity of 60% specificity and 70.50% accuracy respectively.

• 한국정보통신학회논문지
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• 제24권2호
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• pp.231-237
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• 2020

본 논문에서는 포아송 방정식을 기반으로 하는 영상 합성에 있어서 합성된 영상의 자연성을 향상시키기 위한 효율적인 동영상 혼합 블랜딩 기법을 제안한다. 영상 블랜딩 과정에서는 영상 합성의 목적에 따라 포아송 블랜딩과 알파 브랜딩 등 다양한 방법이 사용되고 있다. 본 논문에서 제안하는 혼합 블랜딩 방식은 포아송 블랜딩과 알파 블랜딩의 장점들을 조합함으로써 합성 영상에서 이음매가 없고 또한 객체의 색상 왜곡이 감소되는 특징을 갖는다. 먼저 소스 영상의 객체를 포아송 블랜딩 방법으로 합성한 후, 블랜딩 된 객체와 원래의 객체의 색차를 비교한다. 그리고 색차값이 임계값 이상인 경우, 소스 영상의 객체에 대해 알파 블랜딩을 수행하고 이를 포아송 블랜딩 된 객체와 가중치를 부여하여 합산한다. 모의실험과 분석을 통해 제안된 방법이 포아송 블랜딩과 알파 블랜딩에 비해 합성 영역의 자연성이 우수할 뿐 아니라 요구되는 계산량도 비교적 적다는 것을 볼 수 있다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 추계학술대회 논문집 Vol.16
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• pp.396-399
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• 2003

In this paper, the purpose is to develop imaging technique of synchrotron radiation using CMOS image sensor. The detector using hybrid method to be research in this lab was used, in order to increase image signal. We made experiments with 1B2 Whitebeam/microprobe beamline in PAL (Pohang Accelerator Laboratory). Phosphor materials such as ZnS:(Ag,Li), ZnS:(Cu,Al), $Y_2O_2S:Eu$ were produced by spin coating on glass. Synchrotron radiation images were acquired and evaluated from monochromatic light from monochromoator in PAL 1B2line. From obtained object and phantom, MTF was 0.15 in ZnS:(Ag,Li) phosphor, and 0.178 in ZnS:( Cu,Al) at 151p/mm. MTFs were unsystematic because thickness of phosphor and uniformity of surface were not optimized. It's expected to improve MTF and the qualify of images as uniformity's optimized.

• 실내환경 및 냄새 학회지
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• 제17권4호
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• pp.372-380
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• 2018

To abate the problem of odor from restaurants, a hybrid adsorbent consisting of organic and inorganic materials was developed and evaluated using acetaldehyde as a model compound was deveioped and evaluated. Powders of activated carbon, bentonite, and calcium hydroxide were mixed and calcinated to form adsorbent structure. The surface area of the hybrid adsorbent was smaller than that of high-quality activated carbon, but its microscopic image showed that contours and pores were developed on its surface. To determine its adsorption capacity, both batch isotherm and continuous flow column experiments were performed, and these results were compared with those using commercially available activated carbon. The isotherm tests showed that the hybrid adsorbent had a capacity 40 times higher than that of the activated carbon. In addition, the column experiments revealed that breakthrough time of the hybrid adsorbent was 2.5 times longer than that of the activated carbon. These experimental results were fitted to numerical simulations by using a homogeneous surface diffusion model (HSDM); the model estimated that the hybrid adsorbent might be able to remove acetaldehyde at a concentration of 40 ppm for a 5-month period. Since various odor compounds are commonly emitted as a mixture when meat is barbecued, it is necessary to conduct a series of experiments and HSDM simulations under various conditions to obtain design parameters for a full-scale device using the hybrid adsorbent.

• 한국의학물리학회지:의학물리
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• 제32권1호
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• pp.18-24
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• 2021

Purpose: Kilovoltage computed tomography (kV-CT) is essential for radiation treatment planning. However, kV-CT images are significantly distorted by artifacts when a metallic prosthesis is present in the patient's body. Thus, the accuracies of target delineation and treatment dose calculation are inevitably lowered. We evaluated the accuracy of the calculated doses using an image restoration method with hybrid CT, which was introduced in our previous study. Methods: A cylindrical phantom containing four metals, namely, silver, copper, tin, and tungsten, was scanned using kV-CT and megavoltage CT to produce hybrid CT images. We created six verification plans for three head and neck patients on kV-CT and hybrid CT images of the phantom and calculated their doses. The actual doses were measured with film patches during beam delivery using tomotherapy. We used the gamma evaluation method to compare dose distribution between kV-CT and hybrid CT with three gamma criteria, namely, 3%/3 mm, 2%/2 mm, and 1%/1 mm. Results: The gamma pass rates decreased as the gamma criteria were strengthened, and the pass rate of hybrid CT was higher than that of kV-CT in all cases. When the 1%/1 mm criterion was used, the difference in gamma pass rates between them was up to 13%p. Conclusions: According to our findings, we expect that the use of hybrid CT can be a suitable approach to avoid the effect of severe metal artifacts on the accuracy of dose calculation and contouring.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.571-574
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• 2005

In this paper, we propose an efficient image segmentation technique for large-sized monochrome images using a hybrid approach which combines threshold and region-based techniques. First, an image is partitioned into fixed-size blocks and for each block the representative intensity is determined by averaging pixel intensities within the block. Next, the neighborhood blocks that have similar characteristics with respect to a specific threshold are merged in order to form candidate regions. Finally, those candidate regions are refined to get final target object regions by merging regions considering the spatial locality and certain criteria. We have performed experiments on images selected from various domains and showed that our technique was able to extract target object regions appropriately from most images.