• Title/Summary/Keyword: 여장

Search Result 33, Processing Time 0.023 seconds

한지의 처리공정에 따른 섬유와 한지의 물성 비교

  • Choi, Chan-Ho;Seo, Yeong-Beom;Jeon, Yang
    • Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
    • /
    • 2001.04a
    • /
    • pp.193-197
    • /
    • 2001
  • 본 연구에서는 국산닥, 태국닥, 중국닥의 원료를 사용하여 펄핑, 표백, 고해, 초지, 건조의 방식을 변화시켜 총 3500 여장에 이르는 한지를 한지제조 전문가가 일정한 방법에 따라 제 조하였고 그 특정들을 조직적으로 검토하였다. 이러한 연구는 한지의 물성이 닥섬유의 처 리공정에 의해 어떻게 영향을 받는지 연구를 통계적으로 가능하게 하였다. 본 연구에서는 육재펄핑과 일광표백의 효과, 외발뜨기와 쌍발뜨기의 효과, 고해방식의 차이, 먹퍼집성에 대 해 결과들을 보이 고 있다. 육재 펄핑과 일광표백이 한지의 물성에 어떠한 영향을 미치는지 알아보기로 하였다. 현 재는 많은 한지 업자들이 육재펄핑보다는 가성소다 펄핑 (그림에서는 약품펄핑으로 표기), 일광표백보다는 차아염소산 나트륨 (그림에서는 약품표백으로 표기)을 사용하는 것이 보통 이다. 육재펄핑과 일광표백을 실시한 한지는 열단장, 인열강도, 내절도를 약품펄핑이나 약 품표백보다 높이는 효과가 있음을 알 수 있었다. 하지만 약품을 사용하는 경우 리그닌의 용출이 더 수윌하므로 백색도는 약품을 사용하는 경우가 더 유리하였다. 국산닥의 경우 육 재펄핑과 일광표백을 한 경우 먹퍼짐성이 약품사용 한지보다 크지 않음을 볼 수 있었다. 한국의 전통적인 외발뜨기 초지방식은 일본의 쌍발뜨기 방식에 비해 많은 물리적 우수성 을 보이고 있다. 외발뜨기가 쌍발뜨기에 비해 열단장, 신장율, 인열지수 및 내절도 모두가 우수함을 잘 보이고 있다. 섬유의 성질과 관련하여 전체적으로 조명해 보면, 열단장, 인열 지수는 국산닥이 가장 높으며, 내절도는 태국닥이 우수하였고, 중국닥의 경우 모두 매우 불 량함을 알 수 있다. 이것은 아마도 처리중에 과도한 표백을 실시하지 아니하였는가 하는 의구심을 들게한다. 열단장과 신장율 역시 국산닥이 우수하였다. 글씨를 쓸 때, 붓이 나가 는 정도를 마찰게수로 짐작해 보았다. 동 마찰계수와 정 마찰계수는 국산닥이 낮은 편이였 다. 마찰계수가 낮다는 사실은 한지의 표면이 더 매끄럽다고 표현될 수 있는데, 역시 국산닥 으로 제조한 한지가 붓이 나가는데 유리하지 않을까 하는 추측을 할 수 있다. 본 실험결과 는 한지 사용자들의 느낌과 상관관계를 얻어내어서 확인해야 할 것이다. 닥방망이로의 고해나 칼비터에 의한 고해나 큰 물성적으로 큰 차이를 보이지는 않고 있 었다. 단지 섬유의 차이가 고해방식의 차이보다 월등히 크다는 사실을 보이고 있다 이러한 점은 섬유장의 길이에서도 볼 수 있다. 칼비터가 섬유를 절단하기만 하고 닥방망이 고해가 섬유장의 변화를 일으키지 않는다면 틀림없이 평균 섬유장의 차이가 생길것이다.

  • PDF

The Acoustic Characteristics of Articulation and Phonation in Peritonsillar Abscess (편도외 농양 환자의 발화시 조음 및 음성의 변화)

  • Choi, Hyun-Jin;Song, Yun-Kyung;Yeo, Jang-Ok;Huh, Se-Hyung;Jin, Sung-Min
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
    • /
    • v.19 no.2
    • /
    • pp.133-135
    • /
    • 2008
  • Background and Objectives: The voice changes can occur in peritonsillar abscess and the labeling of this changes as a "muffled voice". The aim of this study was to investigate the changes in acoustic feature of voice before and after treatment in patients with peritonsillar abscess. Materials and Method: 12 patients with peritonsillar abscess were enrolled in the study. Acoustic analysis on sustained Korean vowels /a/, /i/ and /u/ were performed before and after treatment. Results: In patients with peritonsillar abscess, the first formant frequency (F1) and second formant frequency (F2) of /a/ were decreased. There was tendency of articulation of back-low vowel /a/ as back-high vowel /u/. F1 of /i/ and /u/ were increased, while F2 were decreased. There was tendency of articulation of front-high vowel /i/ as back-low vowel /a/. The third, forth, fifth formant frequency (F3, F4, F5) of /a/, /i/ and /u/ were decreased although statistically not significant. Conclusion: The anatomical and functional changes of oropharynx by peritonsillar abscess can cause changes in resonance and speech quality. We suggest that these changes could be the cause of 'muffled voice' in patients of peritonsillar abscess.

  • PDF

Road Surface Damage Detection based on Object Recognition using Fast R-CNN (Fast R-CNN을 이용한 객체 인식 기반의 도로 노면 파손 탐지 기법)

  • Shim, Seungbo;Chun, Chanjun;Ryu, Seung-Ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.18 no.2
    • /
    • pp.104-113
    • /
    • 2019
  • The road management institute needs lots of cost to repair road surface damage. These damages are inevitable due to natural factors and aging, but maintenance technologies for efficient repair of the broken road are needed. Various technologies have been developed and applied to cope with such a demand. Recently, maintenance technology for road surface damage repair is being developed using image information collected in the form of a black box installed in a vehicle. There are various methods to extract the damaged region, however, we will discuss the image recognition technology of the deep neural network structure that is actively studied recently. In this paper, we introduce a new neural network which can estimate the road damage and its location in the image by region-based convolution neural network algorithm. In order to develop the algorithm, about 600 images were collected through actual driving. Then, learning was carried out and compared with the existing model, we developed a neural network with 10.67% accuracy.

A Study in the Daqi- Theories by Yu Chang and Zhang Xi Chun (천담유창여장석순적 「대기」론)

  • Kum Ji Soo;Keum Kyung Soo;Jeong Sook Ei
    • Journal of Physiology & Pathology in Korean Medicine
    • /
    • v.18 no.5
    • /
    • pp.1232-1236
    • /
    • 2004
  • In the Far-Eastern traditional medicine, Oi[Energy] implies a wide range of meaning and is emphasized. There is nothing that is not related to this Qi, as seen in physiology, pathology, the relationship between human body and nature, the movements of intestines and gyeongnak[energy networks], the process of outbreak and change of illness, remedial laws, the features and effects of drugs, and so on. Accordingly, Nei Jing also says, 'every sickness arises from OL' The Qi has multi-meanings, and each of lots Of past physicians researched and analyzed it in different perspective, thus making the Qi-theories much richer. Still. there were not so many physicians who discussed the theme of Daqi. The denomination of Daqi is seen in Nei Jing and Jin Gui Yao Lue, and the physicians like Yu Chang in Ming dynasty and Zhang Xi Chun in Cheng dynasty, etc. applied and utilized Daqi by exploring its functional actions for human life and associating it with clinical practices. Yu Chang said that Daqi is Xiong Zong Yangqi[Positive Energy in Breast] governing every Qi, and that if this Qi is full, it spreads through body and protects the body from sickness, and vice versa. Summarizing his researches on the Daqi in Jin Gui Yao Lue and on the opinions of Yu Chang as well as his experiences, Chang Xi Chun maintained that the Qi accumulated in breast must be named Daqi, which constitutes the contents of Zongqi[Chief Energy] mentioned in Nei Jing. Once the Qi is vacant, breathing is not smooth, whole body is enervated, spirit becomes dim, thinking ability falls drastically. Furthermore, if the Qi is extremely vacant or more worsens, breathing stops. And he prescribed the medicines including Sheng Xian Tang as remedies against the symptom of Daqi XiaXian[Fall in Great Energy]. The recognitions of Daqi by Yu Chang and Zhang Xi Chun are consistent with each other. At any rate, their theories and prescriptions may be high in practical value in contemporary clinics.

A Study of Pat Metheny (Pat Metheny 연구)

  • Kim, Min-Geun;Cho, Tae-Seon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.11
    • /
    • pp.80-85
    • /
    • 2016
  • Pat Metheny debuted in 1976 and attracted the public beyond his genre in jazz by committing experimental and various music. His 50 albums have been recognized with musicality and artistry by winning 20 Grammy Awards and being awarded a Gold Disc 3 times. Therefore, his music cannot be expressed merely with the single word 'jazz'. In basic harmonics, there are distinct chords between major chord and minor chord. For example, Ionian Scale and Lydian Scale are used in major chord and Dorian Scale, Phrygian Scale, and Aeolian Scale are used in minor chord. It is also common to use m7b5 chord in Locrian Scale. However, after analyzing Pat Metheny's scale, he made Lick using Dorian Scale in major chord or using Lydian Scale in minor chord. In Dominant chord that can use various six scales, he often used Dorian Scale or Lydian Scale surprisingly. In some measures, he made Lick using Ionian Scale and Lydian Scale. In this case, since the whole atmosphere of that measure simultaneously expresses both the bright feeling of major and the lonely feeling of minor, it arouses a very special atmosphere. In addition, he brought 12-measure pattern and made Lick not using blues scale but often using Ionian Scale, Lydian Scale, and Mixo-Lydian Scale.

왕숙화(王叔和)"맥경" 여장중경"금궤요약" 관계고(關係考) -왕숙화(王叔和)"맥경"과 장중경(張仲景)"금궤요약방"의 관계 고찰

  • Yang, Yeong-Seon
    • Journal of Korean Medical classics
    • /
    • v.19 no.2 s.33
    • /
    • pp.294-300
    • /
    • 2006
  • 왕숙화(王叔和)의 저작으로 알려진 ${\ulcorner}$맥경${\lrcorner}$은 중국의학사상 매우 중요한 지위를 차지하고 있다. 현재 사람들이 이 책을 중시하는 것은, 진단학의 저작일 뿐만 아니라, 그 가운데 장중경(張仲景) ${\ulcorner}$상한론(像寒論)${\lrcorner}$, ${\ulcorner}$금궤요약방${\lrcorner}$의 내용을 수록 하고 있기 때문이다. 따라서 이 책의 연구를 통해 장중경(張仲景)의 의학문헌 발전사를 살펴볼 수 있다. 본문에서는 ${\ulcorner}$맥경${\lrcorner}$과 중경(仲景)의 ${\ulcorner}$금궤${\lrcorner}$의 편장(篇章)의 목록사이의 관계를 비교하여 토론하였다. 고보혀(高保衝) 등 송신(宋臣)의 교정을 거친 ${\ulcorner}$맥경${\lrcorner}$은 비록 권수가 바뀌지 않았지만 그 내용이 여러 전적을 참고하여 이루어졌다. 중복된 글을 삭제하고 빠진 곳을 채워서 편제가 많이 바뀌어서 부류에 따라 귀속하였으므로 중대한 변화가 발생하였다. 인용문의 통계분석에 따르면, 현본 ${\ulcorner}$${\lrcorner}$ 가운데 제 1, 5, 9, 13, 19, 23편 외에, 나머지는 모두 혹은 대부분 ${\ulcorner}$맥경(??)${\lrcorner}$에 나온다. 둘의 글자를 비교하면, 조문이 같은 것이 대부분이며, 글자가 다른 곳도 있다. 이들을 ${\ulcorner}$맥경${\lrcorner}$의 글자가 분명히 ${\ulcorner}$금궤${\lrcorner}$보다 많은 것, ${\ulcorner}$맥경${\lrcorner}$${\ulcorner}$금궤${\lrcorner}$의 동일 조문을 서로 교정한 것 ${\ulcorner}$맥경${\lrcorner}$${\ulcorner}$금궤${\lrcorner}$에서 피해(避害) 인해 같은 조문의 글자가 다른 것 등의 세 가지로 나누어 토론하였다. ${\ulcorner}$맥경${\lrcorner}$과 중경의서(仲景書件)의 편장목록의 비교하여 필자는 만일 왕숙화(王叔和)의 ${\ulcorner}$맥경${\lrcorner}$ 권7의 원래의 존재에 대해 완전히 부정한다면 받아들이가 어려울 것으로 본다. 본문에서 설명한 것처럼, 송신(宋臣)이 ${\ulcorner}$맥경${\lrcorner}$을 정리할 때 당시의 몇 종류의 류핸본(流핸本)을 참고하였으며, 그들은 원래의 구조에 의거하여 이 책을 10 권으로 교간(校刊)하였다. 아마도 원서의 권 7 내용이 풍부하지 않았으므로, 송신은 기타의 책을 참조하여 보충하고 수정하였으며, 추측컨대 권8, 권9도 또한 이러한 가능성이 있다. 이러한 점은 송선이 이미 서문에서 강조하여 설명한 ‘중복된 것을 제거하고, 빠진 것을 보충하였으며 그 편제도 또한 상당히 개역하여 부류에 따라 맞추도록 하였다’ 라는 것이다. 어쨌든, 중경(件景)의 ${\ulcorner}$금궤요약방${\lrcorner}$의 유전과정에서 ${\ulcorner}$맥경${\lrcorner}$은 매우 중시할 만한 문헌의 하나인 것이다.

  • PDF

Result of Voice Analysis after Laryngeal Microsurgery for Vocal Polyp in Elderly (노인에서 성대 용종의 후두 미세수술 후 음성검사 결과)

  • Choi, Jeong-Im;Yeo, Jang-Ok;Jin, Sung-Min;Lee, Sang-Hyuk
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
    • /
    • v.22 no.1
    • /
    • pp.47-51
    • /
    • 2011
  • Background and Objectives: Vocal polyps arc one of the most frequent benign laryngeal diseases. They arc usually found at the midpoint of the vocal fold. They are mainly caused by vocal overuse. Vocal polyps arc usually removed surgically. Generally, age-related changes to speech are attributed to change in anatomy and physiology of the speech mechanism. These changes result in increased variability in the acoustic properties of speech with age. Still, not 'all studies of age-related changes in speech have taken differences between the young group and adult group after laryngeal microsurgery into account. The aim of this investigation was to compare improvement of acoustic analysis in young patients and elderly patients with vocal polyps, before and after the laryngeal microsurgery. Materials and Method: One hundred and twenty-eight patients who underwent laryngeal microsurgery for vocal polyps from 2008 through 2011 were reviewed retrospectively. 105 of the 128 patients under age 60 were classified as adult group (AG), and remaining 23 patients as elderly group (EG). The speech of AG and EG were evaluated before and after surgery for identification of differences for age group across measures of fundamental frequency (F0), Jitter, Shimmer and Maximum phonation time (MPT). Results: There were not significant differences between two groups for improvement of F0, Jitter, Shimmer, NHR, and MPT before and after surgery. The findings suggest that elderly group compares quite well with adult group in effectiveness of surgery. However, comparison between elderly group and young group (Age under 40) there was significant difference of improvement in Jitter and Shimmer. Conclusion: In general, the results of the present research showed significant improvement in vocal quality after phonosurgery of vocal polyp in both elderly and adult group. However, comparison of improvement between elderly group and young group, there were significant differences of improvement in jitter and shimmer. Therefore, in treatment planning of elderly group, we should consider age related changes of vocal cord.

  • PDF

Explanatory Correction Notes for Lowell's Chosön Photographs in the Boston Museum of Fine Art (미국 보스턴미술관 소재 로웰의 조선 사진 설명문의 오류와 정정 방안)

  • Jeong, Youngjin
    • Korean Journal of Heritage: History & Science
    • /
    • v.53 no.2
    • /
    • pp.36-63
    • /
    • 2020
  • Percival Lowell took photographs of 80s during his stay in Korea in the winter of 1883 and 1884. The photographs are the first in the history of Korea and contain various and precious information about Korea of the day. As such, they could be used for purposes of studying late 19th century Chosōn society. The 61 photographs that are archived in Boston Museum of Fine Art were catalogued by National Research Institute of Cultural Heritage and have been posted online with incorrect explanations by Boston Museum of Fine Art. The explanations have been composed and revised at least four times on the basis of Lowell's writings and archivists' understandings of Korea. However these explanations contain many errors regarding the content of the photographs, yet have been cited by researchers and books concerning the history of Korea. I examined the explanations, analyzed Lowell's writings and diplomatic documents, and confirmed the locations where the photographs were taken. Accordingly, I suggest improved explanations of the photographs to prevent misuse of the Boston Museum of Fine Art's online archive. Lowell's photographs of Chosōn have very high historical value and could be used in various cultural fields because of their various contents and high definition. However, they belong to America and are not cared for sufficiently. Therefore, I suggest that high definition digital scans and prints of the photographs be generated for the sake of overseas Korean cultural heritage collection.

Construction of a Bark Dataset for Automatic Tree Identification and Developing a Convolutional Neural Network-based Tree Species Identification Model (수목 동정을 위한 수피 분류 데이터셋 구축과 합성곱 신경망 기반 53개 수종의 동정 모델 개발)

  • Kim, Tae Kyung;Baek, Gyu Heon;Kim, Hyun Seok
    • Journal of Korean Society of Forest Science
    • /
    • v.110 no.2
    • /
    • pp.155-164
    • /
    • 2021
  • Many studies have been conducted on developing automatic plant identification algorithms using machine learning to various plant features, such as leaves and flowers. Unlike other plant characteristics, barks show only little change regardless of the season and are maintained for a long period. Nevertheless, barks show a complex shape with a large variation depending on the environment, and there are insufficient materials that can be utilized to train algorithms. Here, in addition to the previously published bark image dataset, BarkNet v.1.0, images of barks were collected, and a dataset consisting of 53 tree species that can be easily observed in Korea was presented. A convolutional neural network (CNN) was trained and tested on the dataset, and the factors that interfere with the model's performance were identified. For CNN architecture, VGG-16 and 19 were utilized. As a result, VGG-16 achieved 90.41% and VGG-19 achieved 92.62% accuracy. When tested on new tree images that do not exist in the original dataset but belong to the same genus or family, it was confirmed that more than 80% of cases were successfully identified as the same genus or family. Meanwhile, it was found that the model tended to misclassify when there were distracting features in the image, including leaves, mosses, and knots. In these cases, we propose that random cropping and classification by majority votes are valid for improving possible errors in training and inferences.

Mean Teacher Learning Structure Optimization for Semantic Segmentation of Crack Detection (균열 탐지의 의미론적 분할을 위한 Mean Teacher 학습 구조 최적화 )

  • Seungbo Shim
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.27 no.5
    • /
    • pp.113-119
    • /
    • 2023
  • Most infrastructure structures were completed during periods of economic growth. The number of infrastructure structures reaching their lifespan is increasing, and the proportion of old structures is gradually increasing. The functions and performance of these structures at the time of design may deteriorate and may even lead to safety accidents. To prevent this repercussion, accurate inspection and appropriate repair are requisite. To this end, demand is increasing for computer vision and deep learning technology to accurately detect even minute cracks. However, deep learning algorithms require a large number of training data. In particular, label images indicating the location of cracks in the image are required. To secure a large number of those label images, a lot of labor and time are consumed. To reduce these costs as well as increase detection accuracy, this study proposed a learning structure based on mean teacher method. This learning structure was trained on a dataset of 900 labeled image dataset and 3000 unlabeled image dataset. The crack detection network model was evaluated on over 300 labeled image dataset, and the detection accuracy recorded a mean intersection over union of 89.23% and an F1 score of 89.12%. Through this experiment, it was confirmed that detection performance was improved compared to supervised learning. It is expected that this proposed method will be used in the future to reduce the cost required to secure label images.