• Title/Summary/Keyword: 表現

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A Comparative Study on the Simwudo of Daesoon Jinrihoe and that of Buddhism (대순진리회와 불교의 심우도 비교연구)

  • Cha Seon-keun
    • Journal of the Daesoon Academy of Sciences
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    • v.46
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    • pp.33-68
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    • 2023
  • Simwudo (尋牛圖), known as Ox Seeking Pictures, originated in the 11th-12th century and have consistently played a guiding role in the teachings of various religions in East Asia. Some Korean religions that emerged during modern times conveyed their teachings through depictions of ox seeking or herding. Among them, Daesoon Jinrihoe stands out as a representative religion. The belief system of this particular religion elucidates its distinct doctrine and worldview by reimagining Simwudo, into a new set of six panels (seven or nine panels in some variations). The Simwudo of Daesoon Jinrihoe differs from that of Buddhism, particularly in its treatment of meditation (禪), both in terms of context and significance. While they share similarities in the aspect of ox-seeking, the Buddhist Simwudo symbolizes human nature, whereas the Simwudo of Daesoon Jinrihoe represents the great Dao of Heaven and Earth propagated by Kang Jeungsan and brought into completion by Jo Jeongsan. In the Buddhist context, the subject of the search is the Ox, signifying the restoration of a deluded human's pure nature in order to achieve personal salvation and in some version of Simwudo, reenter society to perform salvific actions for others. On the other hand, in the Simwudo of Daesoon Jinrihoe depicts the process of a human attaining immortality and following the teachings of Jeungsan and Jeongsan. This culminates in the final image which is the redemption of the world. The final phase of the Buddhist Simwudo, depending on the version, is either enlightenment (personal salvation) or reentering society to perform salvific actions (as a bodhisattva), whereas the Simwudo of Daesoon Jinrihoe show the simultaneous achievement of the perfection of humanity and the redemption of the world. This distinction highlights the fundamental differences between the Simwudo of these two distinctly different religious traditions. These differences arise from the contrasting purposes pursued by Buddhism and Daesoon Jinrihoe.

A Study on the Bottom-Emitting Characteristics of Blue OLED with 7-Layer Laminated Structure (7층 적층구조 배면발광 청색 OLED의 발광 특성 연구)

  • Gyu Cheol Choi;Duck-Youl Kim;SangMok Chang
    • Clean Technology
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    • v.29 no.4
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    • pp.244-248
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    • 2023
  • Recently, displays play an important role in quickly delivering a lot of information. Research is underway to reproduce various colors close to natural colors. In particular, research is being conducted on the light emitting structure of displays as a method of expressing accurate and rich colors. Due to the advancement of technology and the miniaturization of devices, the need for small but high visibility displays with high efficiency in energy consumption continues to increase. Efforts are being made in various ways to improve OLED efficiency, such as improving carrier injection, structuring devices that can efficiently recombine electrons and holes in a numerical balance, and developing materials with high luminous efficiency. In this study, the electrical and optical properties of the seven-layer stacked structure rear-light emitting blue OLED device were analyzed. 4,4'-Bis(carazol-9-yl)biphenyl:Ir(difppy)2(pic), a blue light emitting material that is easy to manufacture and can be highly efficient and brightened, was used. OLED device manufacturing was performed via the in-situ method in a high vacuum state of 5×10-8 Torr or less using a Sunicel Plus 200 system. The experiment was conducted with a seven-layer structure in which an electron or hole blocking layer (EBL or HBL) was added to a five-layer structure in which an electron or hole injection layer (EIL or HIL) or an electron or hole transport layer (ETL or HTL) was added. Analysis of the electrical and optical properties showed that the device that prevented color diffusion by inserting an EBL layer and a HBL layer showed excellent color purity. The results of this study are expected to greatly contribute to the R&D foundation and practical use of blue OLED display devices.

Research Trends in Record Management Using Unstructured Text Data Analysis (비정형 텍스트 데이터 분석을 활용한 기록관리 분야 연구동향)

  • Deokyong Hong;Junseok Heo
    • Journal of Korean Society of Archives and Records Management
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    • v.23 no.4
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    • pp.73-89
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    • 2023
  • This study aims to analyze the frequency of keywords used in Korean abstracts, which are unstructured text data in the domestic record management research field, using text mining techniques to identify domestic record management research trends through distance analysis between keywords. To this end, 1,157 keywords of 77,578 journals were visualized by extracting 1,157 articles from 7 journal types (28 types) searched by major category (complex study) and middle category (literature informatics) from the institutional statistics (registered site, candidate site) of the Korean Citation Index (KCI). Analysis of t-Distributed Stochastic Neighbor Embedding (t-SNE) and Scattertext using Word2vec was performed. As a result of the analysis, first, it was confirmed that keywords such as "record management" (889 times), "analysis" (888 times), "archive" (742 times), "record" (562 times), and "utilization" (449 times) were treated as significant topics by researchers. Second, Word2vec analysis generated vector representations between keywords, and similarity distances were investigated and visualized using t-SNE and Scattertext. In the visualization results, the research area for record management was divided into two groups, with keywords such as "archiving," "national record management," "standardization," "official documents," and "record management systems" occurring frequently in the first group (past). On the other hand, keywords such as "community," "data," "record information service," "online," and "digital archives" in the second group (current) were garnering substantial focus.

A Study on the Indicators of Language Development Ability in Infants 18-24 Months (영아(18-24개월)의 언어발달능력 지표에 관한 조사 연구)

  • Kyung-sook Hwang;Wha-Soo Kim;Ji-Woo Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.843-848
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    • 2023
  • The purpose of this study is to understand in detail the development of infants in the 18-24-month period when language develops the most, and to prepare new standards for developmental evaluation that can promote appropriate intervention design at an early time. We divided sub-items such as screening tests and standardized test tools to know the language development ability indicators of infants aged 18-24 months were divided into syntax/phonology, meaning, and speech, and each question was classified and a checklist was made on a five-point scale to conduct a survey on parents with infants aged 18-24 months. Low sensitivity to screening of infants with language delays in nationally implemented infant health checkups, and domestic test tools are standardized for at least six to as many as 10 years, which is always possible in questionnaires related to acceptance and expression, with many reports from parents or teachers.The proportion of "wow" and "started to do" was more than 50-60%. Based on the results of this study, it is hoped that new standards for developmental evaluation will be developed to promote the design of appropriate interventions in detail at a short time.

A Design Perspective on Instagram Addiction (디자인적 관점에서 바라본 인스타그램 중독)

  • Changhee Han
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.339-345
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    • 2023
  • Design exists behind technology. Design is intertwined with the needs of daily life and market structures, and while dealing with technology, it can become insensitive to its meaning. Unlike other social media platforms, Instagram consists of image-based content. The purpose of this study is to examine the addictive design of Instagram. Furthermore, we discuss the ethical responsibilities that designers must have. A theoretical framework for understanding Instagram design is established through a review of major domestic and international literature that has been previously studied. Understand the history, structure, and functions of Instagram and identify Instagram designs that promote social media addiction. In this study, we introduced the mechanism by which Instagram promotes user addiction through design issues. (1) Pull-to-Refresh (2) Red color in push alarm (3) Profile photo border expression in Instagram Story. This design stimulates users' social desires and FOMO, forming the structure of obsessive Instagram usage habits. Instagram is an example that forces us to reconsider the ethical role of design and designers along with the advancement of technology. In today's world, the intrinsic value of what they create, including our society and life itself.

Deep Learning Approach for Automatic Discontinuity Mapping on 3D Model of Tunnel Face (터널 막장 3차원 지형모델 상에서의 불연속면 자동 매핑을 위한 딥러닝 기법 적용 방안)

  • Chuyen Pham;Hyu-Soung Shin
    • Tunnel and Underground Space
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    • v.33 no.6
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    • pp.508-518
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    • 2023
  • This paper presents a new approach for the automatic mapping of discontinuities in a tunnel face based on its 3D digital model reconstructed by LiDAR scan or photogrammetry techniques. The main idea revolves around the identification of discontinuity areas in the 3D digital model of a tunnel face by segmenting its 2D projected images using a deep-learning semantic segmentation model called U-Net. The proposed deep learning model integrates various features including the projected RGB image, depth map image, and local surface properties-based images i.e., normal vector and curvature images to effectively segment areas of discontinuity in the images. Subsequently, the segmentation results are projected back onto the 3D model using depth maps and projection matrices to obtain an accurate representation of the location and extent of discontinuities within the 3D space. The performance of the segmentation model is evaluated by comparing the segmented results with their corresponding ground truths, which demonstrates the high accuracy of segmentation results with the intersection-over-union metric of approximately 0.8. Despite still being limited in training data, this method exhibits promising potential to address the limitations of conventional approaches, which only rely on normal vectors and unsupervised machine learning algorithms for grouping points in the 3D model into distinct sets of discontinuities.

Morphological Characteristics of the Fruiting Bodies of Wild Lentinula edodes Strains Cultivated on Sawdust Blocks in Korea (국내에서 수집한 야생 표고의 사각 톱밥배지 재배에서 자실체의 형태적 특성)

  • Yeun Sug Jeong;Min-Jun Kim;Eunjin Kim;Mi-Jeong Park;Kang-Hyeon Ka;Yeongseon Jang
    • The Korean Journal of Mycology
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    • v.51 no.4
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    • pp.429-440
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    • 2023
  • Wild Lentinula edodes (shiitake) strains are an important breeding material for developing new varieties suitable for various consumer preferences and environmental conditions. The morphological characteristics of 100 wild shiitake strains collected from 14 regions were investigated in a sawdust block cultivation. The characteristics of their fruiting bodies were diverse. Among them, 38% of the caps was convex, 33% was broadly umbonate, 27% was applanate, and 2% was shallowly depressed. In terms of their stipes, 55, 23, and 22% were the column, clavate, and funnel type, respectively. The shape of the cap was the most diverse on Mt. Hwaak, whereas the shape of the stipe showed various phenotypes from various regions. Even among strains collected from the same forest, different types of mushrooms were observed. In conclusion, wild shiitake strains that have adapted to various environmental stress can be used to develop new varieties. Thus, securing various genetic resources and studying their traits are important for researching breeding technology.

Development of Hair Accessory Designs Using Royal Hair Ornaments (왕실 머리장식을 응용한 헤어 액세서리 디자인 개발)

  • Jinyoung Ryu;Jiyeon Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.83-90
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    • 2023
  • The recent trend in younger generations of wearing traditional costumes or incorporating fusion hanbok into daily wear necessitates the development of modern hair accessories to complement hanbok. The purpose of this study is to develop practical and modern hair accessory designs inspired by royal women's hair ornaments that complement hanbok, and therefore expand the scope of fashion content development utilizing hanbok culture as well as meeting the demand for various experiences of traditional culture. This research studied the literature on traditional hairstyles and accessories of Queen Yeong and constructed models of these accessories for the purpose of empirical research. The production process first required creating a basic foundation of nylon mesh reflecting the silhouette of a traditional hairstyle, and then grafting a digital textile printed fabric using majestic and extravagant royal relics on top, thus employing the trompe l'oeil technique to ultimately give the impression of wearing traditional jewelry. As a result, a total of six hair accessory designs were completed, produced with hairbands, hair pins, and hair ties. In addition, the accessories are designed to be easily worn regardless of the wearer's hair style, and the stiff yet flexible nylon mesh effectively expresses the shape of a voluminous hairstyle and creates an optical illusion, blending into the hair. These research results present a unique aesthetic and cultural experience to the greater public seeking both daily entertainment and value from rarity.

Developing a deep learning-based recommendation model using online reviews for predicting consumer preferences: Evidence from the restaurant industry (딥러닝 기반 온라인 리뷰를 활용한 추천 모델 개발: 레스토랑 산업을 중심으로)

  • Dongeon Kim;Dongsoo Jang;Jinzhe Yan;Jiaen Li
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.31-49
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    • 2023
  • With the growth of the food-catering industry, consumer preferences and the number of dine-in restaurants are gradually increasing. Thus, personalized recommendation services are required to select a restaurant suitable for consumer preferences. Previous studies have used questionnaires and star-rating approaches, which do not effectively depict consumer preferences. Online reviews are the most essential sources of information in this regard. However, previous studies have aggregated online reviews into long documents, and traditional machine-learning methods have been applied to these to extract semantic representations; however, such approaches fail to consider the surrounding word or context. Therefore, this study proposes a novel review textual-based restaurant recommendation model (RT-RRM) that uses deep learning to effectively extract consumer preferences from online reviews. The proposed model concatenates consumer-restaurant interactions with the extracted high-level semantic representations and predicts consumer preferences accurately and effectively. Experiments on real-world datasets show that the proposed model exhibits excellent recommendation performance compared with several baseline models.

A Study on Position Correction Sign for Autonomous Driving Vehicles (자율주행 자동차를 위한 측위 보정 표지 연구)

  • Young-Jae JEON;Chul-Woo PARK;Sang-Yeon WON;Jun-Hyuk LEE
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.4
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    • pp.161-172
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    • 2023
  • Autonomous driving vehicles recognize the surroundings through various sensors mounted on the vehicle and control the vehicle based on the collected information. The level of autonomous driving technology is improving due to the development of sensor technology and algorithms that process collected data, but the implementation of perfect autonomous driving technology has not been achieved. To overcome these limitations, through autonomous cooperative driving centered on infrastructure. In this study, developed a position correction sign that provides a reference for positioning of autonomous vehicles. First of all, an analysis was performed on the current status of positioning technology for autonomous driving. And measure the number of point clouds for the 1st sample consisting of two square reflective surfaces and 2nd sample that increased the vertical length of each reflective surface. Experimental results show that both primary and secondary products are installed at least 15 m apart It could be recognized as a sensor, and it was confirmed that the secondary production that increased the length of the top and bottom had a higher number of point clouds than the primary production and better expressed the shape of the facility.