• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.377-382
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• 2006

본 연구의 주제는 정보의 관계를 사용자 중심으로 시각화하는 것이다. 생활속에서 제공되는 대부분의 정보들은 보이지 않는 연결성을 가지고 있다. 이런 정보들의 공통적인 특성 및 관계의 연구를 통해 정보의 중요도를 측정할 수 있고, 각 정보의 개체 간의 연결성이 형성되어 인접정보의 접근이 용이해진다. 특히 인간관계는 사회 연결망의 주된 관심사이며, 사회의 각 개체 간 관계를 분석하여 도식화하는 여러 방법론이 제시되어 있다. 이번 연구를 위하여 제한된 사회라고 볼 수 있는 그리스 신화를 소재로 선정하여 등장인물들 간의 관계를 파악하는데 사회연결망 이론을 적용하였다. 하지만 시각화 측면에서 볼 때 현재 제공되는 사회 연결망 분석 도구는 사용자를 고려한 디자인 부분이 배제되어 단순히 정보를 일방적으로 보여준다는 한계를 지니고 있다. 미톨로지아에서는 분석된 자료를 바탕으로 사용자가 정보를 파악하는데 좀더 효과적이고 용이한 시각적인 구성을 가질 수 있도록 시도했다. 사회 연결망 분석법으로 그리스 신화의 인물들이 가진 신분, 출현 빈도, 감정관계 등을 수치화하여 인물의 연결성을 분석하였다. 또한 정보와 사용자 간의 상호작용 기능을 제공함으로써 사용자의 이해도를 높였다. 기본 인터페이스는 인물노드에 쉽게 접근할 수 있도록 4 가지 분류에 의한 인덱스의 형태를 가지며, 인물 간의 세밀한 관계는 선택에 의한 줌-인(zoom in) 기능을 통해 볼 수 있다. 이는 기존의 필터링 기능과는 차별적인 요소로서 직접 관련된 정보 이외의 정보들은 시각적으로 제한되어 사용자가 인물 관계를 빠르고 직관적으로 파악할 수 있다. 미톨로지아는 개괄적인 관계를 보여주는 레이아웃과 부분적이며 상세한 정보를 파악하기에 적합한 인터랙션 방법을 제시한다.

• Proceedings of the KOR-BRONCHOESO Conference
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• 1978.06a
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• pp.7.1-7
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• 1978

The microsurgery of the laryngeal lesions was introduced by Kleinsasser in 1965. This has been utilized for diagnosis, surgical management and education of the laryngeal lesions. The laryngomic-roscopic technique appear to be useful in the evaluation of the lesions which may be precancerous, since minor degrees of epithelial thickening and alterations in the pattern of fine vessels beneath the epithelium may be observed with greater clarity. With suspension laryngoscopy, the authors experienced 11 cases of the laryngeal lesions: polyp (4 cases), web formation between false cords and true cords (1), papilloma (4), laryngeal trauma (1), and squamous cell carcinoma (1).

• Journal of Broadcast Engineering
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• v.2 no.2
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• pp.206-215
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• 1997

We pror.a;e a H.263-based video ceder with two-layer ocalability. The bare layer is ceded by using the default H.263 axling algorithms to achieve high compresred video data and the enhanced layer is axied by enhanced axling such as HVS-based quantization updating. The enhanced layer contains only arled refinement data for the OCT coefficients of the bare layer. Bitstream syntax and semantics for enhancement layer are designed and quantizer design using the HVS is pror.ooed. Data from the two layers are combined after inverse quantization and inverse OCT prcx:esses in the deaxier. We show with e~rirrental results that the pror.a;ed layered arlee achieves comparable picture quality with non-layered arlee at bitrates of 30 kbr;s or less. Overhead information for the bitstream layer can 00 limited to less than 0.5 kbits/frame.

• Korean Journal of Remote Sensing
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• v.30 no.5
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• pp.687-701
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• 2014

Sea ice is generally accepted as an important factor to understand the process of earth climate changes and is the basis of earth system models for analysis and prediction of the climate changes. To continuously monitor sea ice changes at kilometer scale, it is demanded to create more accurate grid data from the current, limited sea ice data. In this paper we described a downscaling method for Advanced Microwave Scanning Radiometer 2 (AMSR2) Sea Ice Concentration (SIC) from 10 km to 1 km resolution using a weighting scheme of sea ice days ratio derived from Moderate Resolution Imaging Spectroradiometer (MODIS) sea ice cover product that has a high correlation with the SIC. In a case study for Okhotsk Sea, the sea ice areas of both data (before and after downscaling) were identical, and the monthly means and standard deviations of SIC exhibited almost the same values. Also, Empirical Orthogonal Function (EOF) analyses showed that three kinds of SIC data (ERA-Interim, original AMSR2, and downscaled AMSR2) had very similar principal components for spatial and temporal variations. Our method can apply to downscaling of other continuous variables in the form of ratio such as percentage and can contribute to monitoring small-scale changes of sea ice by providing finer SIC data.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.894-896
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• 1999

PID 제어는 50년의 역사를 갖기 때문에 현장의 사용자는 이 제어방식에 익숙해져 있으며, 제어장치의 구성이 간단하며 제어기의 최적동조가 가능하므로 많은 분야에서 사용되고 있다[1]. 그러나 PID 제어기에 의해서 얻은 결과에 대하여 만족하기 위해서는 많은 시행착오를 겪어야 한다. 또한 만족하는 결과를 얻었다고 할지라도 외란, 플랜트의 동특성이 바뀌는 경우 시스템을 추종하지 못하기 때문에 파라미터를 재조정하여야 한다. 유전 알고리즘은 자연세계의 진화 현상에 기초한 계산모델로서 John Holland에 의해서 1975년에 개발된 전역적인 최적화 알고리즘이며[1][2], 비선형 고차원, 불연속, 다중모드, 노이즈 함수 등에 대하여 강건함을 보여주고, 복잡한 탐색 공간에서 최적 값을 스스로 발견하는 학습 능력을 갖는다. 이 방법은 재생산, 교배, 돌연변이를 통하여 최적해를 찾은 방법으로 1989년에 D. E. Goldgerg에 의해서 체계적으로 정리된 후 여러 분야에서 응용되고 있다[3][4]. 그러나 유전 알고리즘은 목적함수만을 이용하여 해집단을 탐색하기 때문에 숙련운전자가 원하는 제어 특성 명세인 상승시간, 정착시간, 초과량(oveshoot) 둥을 구체적으로 명시하여 제어에 반영할 수 없다. 또한, 유전 알고리즘은 입력 값이 크게 바뀔 경우 다른 시스템으로 인식하여 새로운 탐색을 수행하는 단점을 가지고 있다. 본 논문은 첫째, 기준모델을 도입하여 플랜트의 성능을 기준모델로 표현하여 플랜트가 요구하는 성능지표를 정량적으로 규정하는 것이 가능하였다. 또한, 이것은 미지 플랜트 동특성을 식별하기 위한 신호로 사용되어, 플랜트의 정보를 얻는데 이용되었다. 즉, 기준모델과 플랜트 출력사이의 추종 오차 정보가 적응기구인 PID 유전제어기의 입력으로 사용되며, 구형파 입력의 경우에도 기준모델과 플랜트의 출력차는 크게 변하지 않는다. 따라서, 유전 알고리즘의 목적함수에 기준 모델을 제안 적용하여 안정적이고, 세밀한 제어를 수행하였다. 둘째, PID의 간단하면서 확실한 제어가 가능하다는 점과 전역적인 최적값을 찾을 수 있는 유전 알고리즘을 적용하여 고속제어를 요하는 직류 서보 모터(DC Servo Motor) 운전 시 실시간 파라미터 동조에 적용하였다.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.797-802
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• 2020

Over the past few years, smart devices, including smartphones, have been continuously required by users based on portability. The performance is improving. Ubiquitous computing environment and sensor network are also improved. Due to various network connection technologies, mobile terminals are widely used. Smart terminals need technology to make energy monitoring more detailed for more stable operation during use. The smart terminal which is light in small size generates the power shortage problem due to the various multimedia task among the terminal operation. Various estimation hardwares have been developed to prevent such situation in advance and to operate stable terminals. However, the method and performance of estimating the remaining amount are not relatively good. In this paper, we propose a method for estimating the remaining amount of smart terminals. The Capacity Estimation of lithium ion cells for stable operation was estimated based on machine learning. Learning the characteristics of lithium ion cells in use, not the existing hardware estimation method, through a map learning algorithm using machine learning technique The optimized results are estimated and applied.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.561-568
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• 2023

Various defects occur in concrete structures due to internal and external environments. If there is a defect, it is important to efficiently identify and maintain it because there is a problem with the structural safety of concrete. However, recent deep learning research has focused on cracks in concrete, and studies on exfoliation and contamination are lacking. In this study, focusing on exfoliation and contamination, which are difficult to label, four models were developed and their performance evaluated through unlabelling method, filtering method, the convergence of transfer learning based k-means clustering. As a result of the analysis, the convergence model classified the defects in the most detail and could increase the efficiency compared to direct labeling. It is hoped that the results of this study will contribute to the development of deep learning models for various types of defects that are difficult to label in the future.

• Journal of the HCI Society of Korea
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• v.1 no.1
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• pp.73-80
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• 2006

Mitologia is about visualizing relations of information in user-oriented method. Most information given in life has invisible relations with each other. By analyzing the common characters and relations of information, we can not only measure the importance of the information but also grasp the overall properties of the information. Especially human relations are the major concerns of social network having several visualization methodologies shown by analyzing relations of each individual in society. We applied social network theory to grasp relationships between characters in Greek mythology representing a limited society. But the current tools of social network analysis have limits that they show the information one-sided way because of the ignorance of user-oriented design. Mitologia attempts to suggest the visual structure model more effective and easy to understand in analyzing data. We extracted connections among myth characters by evaluating classes, frequencies of appearance and emotional links they have. And we raised the understanding of users with furnishing the proper interaction to the information. The initial interface offers 4 kinds of indexes helping to access character nodes easily, while zoom-in function can be used for the detailed relations. The Zoom-in is quite different from usual filtering methods. It makes the irrelative information invisible so that users can find out the characters' relation more easily and quickly. This project suggests the layout to show overall information relationships and the appropriate interactions to present detailed information at the same time.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.199-206
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• 2021

The three generations of Haenam Yoon, who have been handed down to Gongjae Yoon DuSeo (1668~1715), Yoon DeokHee (1685~1776) and Yoon Yong (1708~1740), were based in Haenam. They had an artistic soul on the stage of Hanyang and succeeded in the art of the family, building a reputation as a family of Seonbi painters representing the late Joseon Dynasty. Born as the eldest son of Gongjae and lived at the age of 82, Rakseo learned a variety of studies, calligraphy and painting from his father and Lee Seo. While learning the paintings of the early and mid Joseon period, and accepting the Namjong painting method, he pursued the realism and three-dimensional sense of the subject by adding a Western-style shading method. In particular, he showed outstanding talent in horse paintings and pottery figures, expressing his original 'Beauty that realistically portrays real scenery'. Cheonggo, who was born as the second son of Rakseo and died at the age of 32, was good at Namjong landscape painting using various tree drawing methods. He painted the original Siuido by changing the topical poems, as well as detailed observations and explorations to accurately describe the facts of the object. In addition, 'Beauty showing affection through realistic scenery' was expressed by newly changing and reinterpreting the tendency of home appliances painting to express the spirit as a form beyond the realistic landscape. Rakseo and Cheonggo father and son made a 'NogUdang' painting style, drastically changing the paintings of the late Joseon Dynasty, and had a great influence on the history of Korean painting.

• Korean Journal of Remote Sensing
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• v.37 no.5_2
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• pp.1317-1328
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• 2021

This study analyzes the early satellite mission marine fog detection results from Geostationary Ocean Color Imager-II (GOCI-II). We investigate optical characteristics of the GOCI-II spectral bands for marine fog between October 2020 and March 2021 during the overlapping mission period of Geostationary Ocean Color Imager (GOCI) and GOCI-II. For Rayleigh-corrected reflection (R_rc) at 412 nm band available for the input of the GOCI-II marine fog algorithm, the inter-comparison between GOCI and GOCI-II data showed a small Root Mean Square Error (RMSE) value (0.01) with a high correlation coefficient (0.988). Another input variable, Normalized Localization Standard (NLSD), also shows a reasonable correlation (0.798) between the GOCI and GOCI-II data with a small RMSE value (0.007). We also found distinctive optical characteristics between marine fog and clouds by the GOCI-II observations, showing the narrower distribution of all bands' R_rc values centered at high values for cloud compared to marine fog. The GOCI-II marine fog detection distribution for actual cases is similar to the GOCI but more detailed due to the improved spatial resolution from 500 m to 250 m. The validation with the automated synoptic observing system (ASOS) visibility data confirms the initial reliability of the GOCI-II marine fog detection. Also, it is expected to improve the performance of the GOCI-II marine fog detection algorithm by adding sufficient samples to verify stable performance, improving the post-processing process by replacing real-time available cloud input data and reducing false alarm by adding aerosol information.