• Title/Summary/Keyword: 기억도

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Soongeuimyo 崇義廟 Establishment and Soongeuimyo Jeryeak 祭禮樂 (숭의묘 건립과 숭의묘 제례악)

  • Lee, Jung-hee
    • (The) Research of the performance art and culture
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    • no.19
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    • pp.317-346
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    • 2009
  • Soongeuimyo is a shrine which has Liu Bei 劉備 as the main ceremonial figure and also Guan Yu 關羽 and Zhang Fai 張飛 as ceremonial figures as well as 8 others such as Zhege Liang, Zhao Yun, Ma Chao, Huang Zhong, Uang Bo, Zhou Zhang, Zhao Ru, and Guan Ping. Since one of the ceremonial figures is Guan Yu, it has been considered and discussed as a Guanwangmyo 關王廟. It is also witnessed by the terms called the East, South, or North tomb that were the existing Guanwangmyo, or even 'West' tomb 西廟. Of course, the relationship between Guanwangmyo and Soongeuimyo cannot be excluded because they both have Guan Yu. However, Soongeuimyo is different from Guanwangmyo in some aspects. Soongeuimyo was of a higher grade than Guanwangmyo in the quality of the ceremonial figures, and it had a completely different music and dances 악무, in which it included court music(雅樂), orchestra for court music(雅樂樂懸), and Yugilmu 六佾舞. Since the first enshrinement ritual in April 27, 1904, the period of Soongeuimyo Jerye was performed for only 4 years until the close in July, 1908, which made it less known. Furthermore, because Japanese Governor General used Soongeuimyo land as orphanages and schools for the blind and the dumb, the tomb areas were completely destroyed and the space to recall memories of Soongeuimyo was lost. However, Soongeuimyo Jerye was one of the country's important ceremonies conducted as Joong Sa 中祀 with complete assessment of traditional music and dance for Jerye. Also, as a Jerye that Go Jong 高宗 designed as a strong soldier policy after his coronation as an emperor to enhance Dae Han empire's military power, it has much significance as Dae Han empire's last national ceremony newly created besides Hwangu Jerye 圜丘祭 after his coronation.

A Study on Changes and Meanings of Seoul Boramae Park as a Park Created in Relocated Sites (이전적지 공원으로서 서울 보라매공원의 변화와 의미)

  • Seo, Young-Ai;Park, Hee-Soung;Gil, Jihye;Kim, Jung-Hwa;Lee, Sang Min;Choi, Hyeyoung
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.1
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    • pp.85-97
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    • 2023
  • Seoul Boramae Park was opened on May 5, 1986, after the Republic of Korea Air Force Academy relocated to Cheongju City in 1985. This study aims to examine the birth and evolution of Seoul Boramae Park and diagnose the park's value being transformed from the former site of the Air Force Academy. Policy reports and newspaper data were analyzed as a research method, focusing on Seoul public records. The study results are as follows. First, Seoul Boramae Park is a large-scale park created before the policy for parks on relocated sites we enacted. Second, Seoul Boramae Park has historical value as an urban park where memories and traces of the Air Force Academy overlap. Third, Seou Boramae Park contributed to regional change by promoting the public value of parks created on the relocated sites with an urban planning method. Seoul Boramae Park has implications for Korean landscape history as a case of securing large green areas in Seoul and presenting its function and roles as a park created on a relocated site.

A Proposal for the Design of Augmented Reality Reading Activity Application and Class Model Based On Nuri Curriculum (누리과정을 기반으로 한 증강현실 독후활동 애플리케이션 및 수업 모형 설계 제안)

  • Seo-Young Kim;Tae-Woo Kim;Kyung-Up Lee;Yu-Bin Joe;Jung-Yi Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.355-360
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    • 2023
  • Recently, with the development of digital, children are exposed to a lot of media media. Reading activity decreases, making it difficult to acquire information from books or organize and remember acquired information. Since education with augmented reality increases children's participation and immersion in learning, we proposed a reading activity application with augmented reality technology to increase children's reading interest and creativity. In addition, based on the five nurturing processes, we designed a play-oriented reading activity for the application. In addition to the application suggestions, we designed a play-centered lesson model so that it can be used in actual lessons. In order to analyze the conceptual thinking framework according to the lesson model design, we visited an actual daycare center and conducted a class attended by an expert. Experts who participated were asked to fill out a pre-produced questionnaire to review the suitability of the reading activity class model and operation, and the feasibility was examined. Our lesson model design was based on limited book content, and due to ethical concerns, large-scale experiments with children could not be conducted, so the results of the study are not representative of the whole. However, it is significant that the possibility of running a new reading activity class based on the Nuri course has been examined and proposed.

Towards Carbon-Neutralization: Deep Learning-Based Server Management Method for Efficient Energy Operation in Data Centers (탄소중립을 향하여: 데이터 센터에서의 효율적인 에너지 운영을 위한 딥러닝 기반 서버 관리 방안)

  • Sang-Gyun Ma;Jaehyun Park;Yeong-Seok Seo
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.4
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    • pp.149-158
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    • 2023
  • As data utilization is becoming more important recently, the importance of data centers is also increasing. However, the data center is a problem in terms of environment and economy because it is a massive power-consuming facility that runs 24 hours a day. Recently, studies using deep learning techniques to reduce power used in data centers or servers or predict traffic have been conducted from various perspectives. However, the amount of traffic data processed by the server is anomalous, which makes it difficult to manage the server. In addition, many studies on dynamic server management techniques are still required. Therefore, in this paper, we propose a dynamic server management technique based on Long-Term Short Memory (LSTM), which is robust to time series data prediction. The proposed model allows servers to be managed more reliably and efficiently in the field environment than before, and reduces power used by servers more effectively. For verification of the proposed model, we collect transmission and reception traffic data from six of Wikipedia's data centers, and then analyze and experiment with statistical-based analysis on the relationship of each traffic data. Experimental results show that the proposed model is helpful for reliably and efficiently running servers.

Application of Cognitive Enhancement Protocol Based on Information & Communication Technology Program to Improve Cognitive Level of Older Adults Residents in Small-Sized City Community: A Pilot Study (중소도시 지역사회 거주 노인의 치매예방을 위한 Information & Communication Technology 프로그램 기반 인지향상 프로토콜 적용: 파일럿(Pilot) 연구)

  • Yun, Sohyeon;Lee, Hamin;Kim, Mi Kyeong;Park, Hae Yean
    • Therapeutic Science for Rehabilitation
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    • v.12 no.2
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    • pp.69-83
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    • 2023
  • Objective : This study, as a preliminary study, applied an Information & Communication Technology (ICT) home-based program to elderly people aged 65 years or older to confirm the effect of the cognitive enhancement program and to find the possibility of remote rehabilitation. Methods : This study from August to October 2022, three subjects were selected and the intervention was conducted for about 2 months. This intervention was conducted using Korean version of Mini-Mental State Examination, Korean version of Montreal Cognitive Assessment (MoCA-K), Computer Cognitive Senior Assessment System, and the Center for Epidemiologic Studies Depression scale to evaluate cognitive improvement before and after the program. The therapist remotely set the level of cognitive training according to the subject's level through weekly feedback. Results : After the intervention, all subjects showed improved scores in most items of the MoCA-K conducted before and after the intervention. In addition, among the items of Cotras-pro, upper cognition, language ability, attention, visual perception, and memory were improved. Conclusion : Cognitive rehabilitation training using an ICT home-based program not only prevented dementia but also made it habitual. Through this study, it was confirmed that remote rehabilitation for the elderly could be possible.

The Forming Mechanism of Brain Text and Brain Concept in the Theory of Ethical Literary Criticism (뇌텍스트(Brain Text) 및 뇌개념(Brain Concept)의 형성원리와 문학윤리학비평)

  • Nie, Zhenzhao;Yoon, Seokmin
    • Journal of Popular Narrative
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    • v.25 no.1
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    • pp.193-215
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    • 2019
  • According to ethical literary criticism, every type of literature has its text. The original definition of oral literature refers to the literature disseminated orally. Before the dissemination, the text of oral literature is stored in the human brain, which is termed as "brain text". Brain text is the textual form used before the formation of writing symbols and its application to a recording of information, and it still exists after the creation of writing symbols. Other types of texts are written text and electronic text. Brain text consists of brain concepts, which, according to different sources, can be divided into objective concepts and abstractive concepts. Brain concepts are tools for thinking while thought comes from thinking with understanding and an application of brain concepts. Brain text is the carrier of thought. The termination of the synthesis of brain concepts signifies the completion of thinking, which produces thoughts to form brain text. Brain text determines thinking and behavioral patterns that not only communicate and spread information, but also decide our ideas, thoughts, judgments, choices, actions and emotions. Brain text is also a deciding factor for our lifestyle and moral behaviors. The nature of a person's brain text determines his thoughts and actions, and most importantly determines who he is.

A case study on Urban Regeneration utilizing Community Cinema from Japan: Focused on Fukaya Cinema (일본 커뮤니티 시네마를 활용한 도시재생 사례 연구 - 후카야 시네마(深谷シネマ)를 중심으로 -)

  • Park, Dong-Ho
    • Korean Association of Arts Management
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    • no.49
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    • pp.149-176
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    • 2019
  • It is a known fact that the spread of multiplexes has contributed to movie industry flourish and extending public rights for enjoying movies. However, in terms of Urban Discourse, Multiplexes centered in new downtown have given rise to Doughnut Phenomena in old downtown. It is especially regrettable that the local theaters which have been symbolic cultural spaces storing the 'memory of life' of local communities are disappearing due to a recession of business zone in old downtown. Japan has long been worked in various activities spotlighting on movie/image contents as the major means of creative urban regeneration. Among them, the 'Community Cinema' has made a contribution to regional revitalization by improving movie screening environment of the local community through renewal of local theaters and further creating related culture and industry in the local area. In this study, I focus on 'Fukaya Cinema' which started from NPO(Non-Profit Organization) and reused a closed industrial facility to a movie theater in cooperation with local TMO(Town Management Organization). Fukaya Cinema, which operates in the form of a business community, plays important roles as the core cultural facility in the local community and is regarded as a significant case showing a possibility of urban regeneration using movie/image contents. I investigate the specific founding process and activities of Fukaya Cinema and intend to derive the implications from that. Through this, I aim to provide the basic urban regeneration data utilizing movie/media contents.

Two Cases of Gami-Guibitang on Cognitive Impairment after Stroke with Improved Recall Memory including Korean Medicine (가미귀비탕을 포함한 한방치료로 회상기억이 향상된 뇌졸중 후 인지저하 환자 2례)

  • Kim, Jeong-Hwa;Lee, Hyeong-min;Shin, Hee-yeon;Kim, Hari;Yang, Seung-Bo;Cho, Seung-Yeon;Park, Seong-Uk;Ko, Chang-Nam;Park, Jung-Mi
    • The Journal of the Society of Stroke on Korean Medicine
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    • v.19 no.1
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    • pp.21-30
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    • 2018
  • ■ Objectives This case study is to report the two cases of Gami-Guibitang on cognitive impairment after stroke with improved recall memory. ■ Methods We used Korean medicine treatments including Gami-guibitang, acupuncture and moxibustion to treat patients who had cognitive impairment after stroke for at least two months. We observed the changes of symptoms by measuring Korean version of Mini-mental status examination (MMSE-K), Clinical Dementia Rating (CDR) and Global Detration Scale (GDS). ■ Results After treatment, the patient's symptoms were improved including MMSE-K, CDR and GDS. Improvement appeared to be prominent in recall memory. The general condition were also improved after treatment. ■ Conclusion This clinical case study suggests that Korean medicine including Gami-guibitang could be used to treat patients who had cognitive impairment after stroke especially suffering from degraded recall memory.

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Case Analysis of Elementary School Classes based on Artificial Intelligence Education (인공지능 교육 기반 초등학교 수업 사례 분석)

  • Lee, Seungmin
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.377-383
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    • 2021
  • The purpose of this study is to present the direction of elementary school AI education by analyzing cases of classes related to AI education in actual school settings. For this purpose, 19 classes were collected as elementary school class cases based on AI education. According to the result of analyzing the class case, it was confirmed that the class was designed in a hybrid aspect of learning content and method using AI. As a result of analyzing the achievement standards and learning goals, action verbs related to memory, understanding, and application were found in 8 classes using AI from a tool perspective. When class was divided into introduction, development, and rearrangement stages, the AI education element appeared the most in the development stage. On the other hand, when looking at the ratio of learning content and learning method of AI education elements in the development stage, the learning time for approaching AI education as a learning method was overwhelmingly high. Based on this, the following implications were derived. First, when designing the curriculum for schools and grades, it should be designed to comprehensively deal with AI as a learning content and method. Second, to supplement the understanding of AI, in the short term, it is necessary to secure the number of hours in practical subjects or creative experience activities, and in the long term, it is necessary to secure information subjects.

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Short-Term Precipitation Forecasting based on Deep Neural Network with Synthetic Weather Radar Data (기상레이더 강수 합성데이터를 활용한 심층신경망 기반 초단기 강수예측 기술 연구)

  • An, Sojung;Choi, Youn;Son, MyoungJae;Kim, Kwang-Ho;Jung, Sung-Hwa;Park, Young-Youn
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.43-45
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    • 2021
  • The short-term quantitative precipitation prediction (QPF) system is important socially and economically to prevent damage from severe weather. Recently, many studies for short-term QPF model applying the Deep Neural Network (DNN) has been conducted. These studies require the sophisticated pre-processing because the mistreatment of various and vast meteorological data sets leads to lower performance of QPF. Especially, for more accurate prediction of the non-linear trends in precipitation, the dataset needs to be carefully handled based on the physical and dynamical understands the data. Thereby, this paper proposes the following approaches: i) refining and combining major factors (weather radar, terrain, air temperature, and so on) related to precipitation development in order to construct training data for pattern analysis of precipitation; ii) producing predicted precipitation fields based on Convolutional with ConvLSTM. The proposed algorithm was evaluated by rainfall events in 2020. It is outperformed in the magnitude and strength of precipitation, and clearly predicted non-linear pattern of precipitation. The algorithm can be useful as a forecasting tool for preventing severe weather.

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