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A Study on High-precision Autofocus Matching Device for Smoke Detector Based on IR Laser (IR 레이저 기반 연기감지기를 위한 고정밀 자동초점 정합장치에 관한 연구)

  • Kim, Gwan-Hyung;Shin, Dong-Suk;Oh, Am-Suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.11
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    • pp.2759-2764
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    • 2014
  • Smoke detector is commonly used to reduce fire detection time. However, technical problems regarding its inaccuracy of laser beam-receiving point on the surface of the sensor associated with incoming interference are identified when the laser transmitter and receiver are installed at a distance of about 100m. In this paper, we propose the auto focus alignment algorithm with high precision to adjust tilting angle of lasers caused by environmental interference so that solve existing issues using multi-level worm gear set.

Image based Experience Goods, Text-based Search Goods: Cognitive Fit between Product Information Composition and Product Type depending on Regulatory Focus (이미지 기반의 경험재, 텍스트 기반의 탐색재: 조절초점에 따른 제품 정보 구성 방식과 제품 유형의 일치 효과)

  • Park, Kyung-Hee;Seo, Bong-Goon;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.75-100
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    • 2022
  • Untact mobile commerce shows a rapid growth due to the prolonged COVID-19 pandemic. And companies have a lot of tough competition in this trend. However, the detail pages of products which play an important role in purchase decision have been provided mostly for consumers in a form of stereotyped information composition. This study has found that the form of (image-centered vs. text-centered) information composition of detailed descriptions of products in the detail pages of mobile products has an effect on product attitude and purchase intention as consumers' information appeal methods vary depending on product types (search goods vs. experience goods). That is, search goods whose information search is easy and whose quality is predictable could be found that product attitude and purchase intention have a more positive effect on the form of image-centered information composition. And experience goods whose quality is unpredictable could be found that product attitude and purchase intention have a more positive effect on the form of text-centered information composition. And effects of congruence between product types based on Higgins' regulatory focus theory and the form of information composition have found to vary depending on consumers' chronic regulatory focus. Promotion focus seeking consumers showed effects of congruence between product types and the form of information composition and prevention focus seeking consumers did not show effects of congruence between them. That is, promotion focus seeking consumers have found to have more positive product attitude and purchase intention in the form of image-centered information composition of experience goods and text-centered information composition of search goods. And prevention focus seeking consumers have found to be unable to have an effect on product attitude and purchase intention even though the form of image or text-centered information composition of search and experience goods is presented. The study implies that the form of information composition should be designed, produced, and provided for consumers by considering product types and consumer propensity when designing it in the detail pages of mobile products.

Advanced shape from focus (SFF) method by usng curved window (곡면 윈도우를 이용한 shape from focus(SFF) 방법의 개선)

  • 윤정일;최태선
    • Proceedings of the IEEK Conference
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    • 1998.06a
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    • pp.777-780
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    • 1998
  • 물체의 3차원적인 정보를 복원하는 일은 그 정보의 일련된 이용에 있어서 중요한 문제이다. 이를 위해 여러가지 방법들이 연구되고 있으며, 그 중 shape from focus(SFF) 방법은 영상의 초점이 맞는 렌즈의 위치를 찾아내어 렌즈 공식에 의해 초점이 맞는 부분의 거리 정보를 구할 수 있다. 기존의 이 방법은 초점이 맞았는지의 정도를 계산하기 위한 focus measure 값들을 카메라의 광학축에 수직인 단순한 평면으로 가정하여 그 합이 최대가 되는 위치를 찾아내었다. 이를 개선하기 위해서 focused image surface(FIS) 개념이 연구되었고 그로 인해 더욱 나아진 결과를 얻었다. 물체의 FIS는 카메라 렌즈에 의해 초점이 맞게된 물체의 점들의 집합으로 이루어진 공간상의 면이다. 기하광학에 의해 물체의 모양과 FIS 상이에는 일대일 대응 관계가 있고 FIS의 형태를 구하는것이 결국은 물체의 모양을 복원하는것이다. FIS 개념을 처음 적용할 때는 물체의 모양이 부분적으로 영상 탐지기(image detector)와 같은 평면으로 가정하여 3차원 공간상에서 가능한 모든 방향의 평면에 대한 focus measure를 구하여 그 값이 최대가 되는 렌즈의 위치를 구하였다. 그러나 이러한 방법은 focus measure의 합이 정사각형의 윈도우에서 계산되기 때문에 곡면으로 이루어진 실제 물체에서는 오차르 ㄹ가지게 된다. 본 논문에서는 이와는 달이 평면이 아닌 곡면에 대한 focus measure의 합이 최대가 되는 렌즈의 위치를 구하여 이전의 방법들 보다 정확한 복원이 가능함을 보인다.

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한국어의 운율구조와 통사-의미구조와의 관계

  • Lee, Ho-Yeong
    • Annual Conference on Human and Language Technology
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    • 1990.11a
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    • pp.57-64
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    • 1990
  • 문장을 이루는 문장 구성성분 사이에는 다른 정도의 운율적 친밀성 (운율적 구성성분관계)와 상대적이며 계층적인 운율적 강도관계가 존재하며, 이를 바탕으로 문장의 운율구조를 세울 수 있으며, 운율구조는 나무그림으로 나타내는 것이 가장 효과적이다. 운율구조는 대응하는 통사구조가 보여주는 통사적 구성성분 관계 (constituency)와 계층적 지배관계와 대부분 일치하지 않지만, 문장의 운율구조는 먼저 구단위로 운율구조를 부과하고, 그 다음 단계에서 각 구들의 운율구조를 연결하여 완성해야 하며, 통사구조가 같은 구(phrase)도 구성요소들 사이에 존재하는 의미구조의 차이에 의해서 다른 운율구조를 가질 수도 있다. 그리고 문장의 일부만이 초점을 받으면, 초점받은 부분이 가장 강한 운율강도를 갖게되어 전체초점을 받을 때의 운율적 구성성분 관계와 계층적인 운율적 강도관계가 변할 수 있다.

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A study on the Construction of Annotated corpora for the Automatic Classification of Open Domain Queries (오픈도메인 질의문 자동 분류를 위한 주석 말뭉치 구축 연구)

  • Ahn, AeLim;Lee, SeoJin;Choi, DongHyun;Kim, EungGyun;Nam, JeeSun
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.309-314
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    • 2019
  • 본 연구는 오픈도메인 자연어 질의문 유형을 '질문 초점(Question Focus)'에 따라 분류하고, 기계학습 기반 질의문 유형 분류기의 성능 향상을 위한 주석 말뭉치 구축을 목표로 한다. 오픈도메인 질의문 분석을 통해 의문사 등의 키워드 기반 질의문 유형 분류의 한계를 설명하고, 질의문 내의 비명시적인 의미자질을 고려한 질문 초점 기반 질의문 유형 분류 기준을 정의하였다. 이 기준에 따라 구축된 112,856 문장의 주석 말뭉치를 기계학습(CNN) 기반 문장 분류 시스템의 학습 데이터로 사용하여 실험한 결과 F1-Score 97.72%성능을 보였다. 또한 이를 카카오 오픈도메인 질의응답시스템에 적용하여 질의문 확장을 위한 의미 자질로 사용하였고 그 결과 전체 시스템 성능을 1.6%p 향상시켰다.

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3D Model Reconstruction Algorithm Using a Focus Measure Based on Higher Order Statistics (고차 통계 초점 척도를 이용한 3D 모델 복원 알고리즘)

  • Lee, Joo-Hyun;Yoon, Hyeon-Ju;Han, Kyu-Phil
    • Journal of Korea Multimedia Society
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    • v.16 no.1
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    • pp.11-18
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    • 2013
  • This paper presents a SFF(shape from focus) algorithm using a new focus measure based on higher order statistics for the exact depth estimation. Since conventional SFF-based 3D depth reconstruction algorithms used SML(sum of modified Laplacian) as the focus measure, their performance is strongly depended on the image characteristics. These are efficient only for the rich texture and well focused images. Therefore, this paper adopts a new focus measure using HOS(higher order statistics), in order to extract the focus value for relatively poor texture and focused images. The initial best focus area map is generated by the measure. Thereafter, the area refinement, thinning, and corner detection methods are successively applied for the extraction of the locally best focus points. Finally, a 3D model from the carefully selected points is reconstructed by Delaunay triangulation.

A Study on the Image Based Auto-focus Method Considering Jittering of Airborne EO/IR (항공탑재 EO/IR의 영상떨림을 고려한 영상기반 자동 초점조절 기법 연구)

  • Kang, Myung-Ho;Kim, Sung-Jae;Koh, Yeong Jun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.1
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    • pp.39-45
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    • 2022
  • In this paper, we propose methods to improve image-based auto-focus that can compensate for drawbacks of traditional auto-focus control. When adjusting the focus, there is a problem that the focus window cannot be set to the same position if the camera's LOS is not directed at the same location and flow or shake. To address this issue, we applied image tracking techniques to improve optimal focus localization accuracy. And also, although the same focus value should be calculated at the same focus step, but different values can be calculated by camera's fine shaking or image disturbance due to atmospheric scattering. To tackle this problem a SAFS (Stable Adjacency Frame Selection) has been proposed. As a result of this study, our proposed methodology shows more accurate than traditional methods in terms of finding best focus position.

Could a Product with Diverged Reviews Ratings Be Better?: The Change of Consumer Attitude Depending on the Converged vs. Diverged Review Ratings and Consumer's Regulatory Focus (평점이 수렴되지 않는 리뷰의 제품들이 더 좋을 수도 있을까?: 제품 리뷰평점의 분산과 소비자의 조절초점 성향에 따른 소비자 태도 변화)

  • Yi, Eunju;Park, Do-Hyung
    • Knowledge Management Research
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    • v.22 no.3
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    • pp.273-293
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    • 2021
  • Due to the COVID-19 pandemic, the size of the e-commerce has been increased rapidly. This pandemic, which made contact-less communication culture in everyday life made the e-commerce market to be opened even to the consumers who would hesitate to purchase and pay by electronic device without any personal contacts and seeing or touching the real products. Consumers who have experienced the easy access and convenience of the online purchase would continue to take those advantages even after the pandemic. During this time of transformation, however, the size of information source for the consumers has become even shrunk into a flat screen and limited to visual only. To provide differentiated and competitive information on products, companies are adopting AR/VR and steaming technologies but the reviews from the honest users need to be recognized as important in that it is regarded as strong as the well refined product information provided by marketing professionals of the company and companies may obtain useful insight for product development, marketing and sales strategies. Then from the consumer's point of view, if the ratings of reviews are widely diverged how consumers would process the review information before purchase? Are non-converged ratings always unreliable and worthless? In this study, we analyzed how consumer's regulatory focus moderate the attitude to process the diverged information. This experiment was designed as a 2x2 factorial study to see how the variance of product review ratings (high vs. low) for cosmetics affects product attitudes by the consumers' regulatory focus (prevention focus vs. improvement focus). As a result of the study, it was found that prevention-focused consumers showed high product attitude when the review variance was low, whereas promotion-focused consumers showed high product attitude when the review variance was high. With such a study, this thesis can explain that even if a product with exactly the same average rating, the converged or diverged review can be interpreted differently by customer's regulatory focus. This paper has a theoretical contribution to elucidate the mechanism of consumer's information process when the information is not converged. In practice, as reviews and sales records of each product are accumulated, as an one of applied knowledge management types with big data, companies may develop and provide even reinforced customer experience by providing personalized and optimized products and review information.

Impact of Feature Positions on Focal Length Estimation of Self-Calibration (Self-calibration의 초점 거리 추정에서 특징점 위치의 영향)

  • Hong Yoo-Jung;Lee Byung-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.4C
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    • pp.400-406
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    • 2006
  • Knowledge of camera parameters, such as position, orientation and focal length, is essential to 3D information recovery or virtual object insertion. This paper analyzes the error sensitivity of focal length due to position error of feature points which are employed for self-calibration. We verify the dependency of the focal length on the distance from the principal point to feature points with simulations, and propose a criterion for feature selection to reduce the error sensitivity.

Spation-Angular Multiplexing Method using Moving Window and Double-Focusing Lens (Moving Window와 이중초점 렌즈를 이용한 공간-각 다중화 기법)

  • 박철용;김수길;김은수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.3B
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    • pp.280-287
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    • 2001
  • 본 논문에서는 기존의 LCD MW를 이용한 각 다중화 시스템에서 인접한 수직방향 MW 사이의 crosstalk를 제거하기 위하여 MW의 뒷단에 수직방향으로 주기적으로 서로 다른 초점 길이를 갖는 이중초점 렌즈를 삽입하여 인접한 MW의 기준빔이 서로 다른 공간에 기록되게 함으로써 기준빔의 전자적 제어뿐만 아니라 고밀도의 정보저장 및 복원이 가능한 새로운 공간-각 다중화 기법을 제안하고 이에 대한 광학 실험을 통해 구현가능성을 제시하였다.

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