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A Case Study on the Programming of Public Theaters in Korea -Analysis of the Achievements and the Challenges of the Opera House of the Seoul Arts Center for the years from 1993 to 2011- (공공극장 기획공연의 프로그래밍 사례 연구 -예술의전당 오페라하우스 공연 기획의 성과와 과제-)

  • Ko, Heekyung
    • Journal of Korean Theatre Studies Association
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    • no.48
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    • pp.509-547
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    • 2012
  • The Seoul Arts Center is an representing Korean arts-complex consisting of the Opera House, the Concert Hall and the Museums. Since its opening in 1993, it has been established as a mecca of arts and the culture in Korea. Many local public theatres in Korea are benchmarking its operating system and policy. Unlike most European or American theatres, the Seoul Arts Center has no resident art companies. It is not a 'producing theatre' whose programming is mainly based on house productions with resident companies, but a 'presenting theatre' that is to be managed with rental and invitation programs without resident companies. The majority of the Korean public theatres are also presenting theatres. This study aims to research and analyze how the Seoul Arts Center has developed the programming of the Opera House for last 19 years and which challenges and issues it has been dealing with, and finally to propose what will be recommendable remedies for its successful future. The analysis is divided into four development stages: preparation period from 1981 to 1992, establishment period from 1993 to 1999, growth period from 2000 to 2006, and lastly crisis period from 2007 to 2011. Facing the 20th anniversary next year(2013), the Opera House of the Seoul Arts Center is going through recent critical situations: higher competitions among increased theatres, trends of commercial musical productions, and rapid declines in its house programs due to the low budget and unclear programming policy. I propose as a discussion to start a repositioning strategy as a Korea's representing arts-complex, utilizing all sources from inside and outside and having the policy direction.

The Efficient Method for Video Data Streaming via NMEA-0183 (NMEA-0183 기반 영상데이터의 효율적인 스트리밍 기법)

  • Kim, Byoung-Kug
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.10
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    • pp.1300-1305
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    • 2020
  • Due to the simplicity of communication structure using RS-232 and RS-422, the majority ships have still adapted on these communication interfaces and have constructed their own communication network in the ship. NMEA-0183 is the one of standards for BNWAS(Bridge Navigational Watch Alarm System) and currently being used in many countries. BNWAS utilises diverse sensor devices, GPS, AIS and so on for monitoring the status of ships and their deployments and environmental information(temperature, humidity, wind speed/direction, water temperature/current etc…). This paper proposes the use of any image sensors in NMEA-0183 environment and verifies possibility with certain video qualities through the experiment results. Furthermore the paper gathers videos and monitors the change of their qualities depending on the number of NMEA messages on RS-232 communication link. Finally we make conclusion that our proposal is sufficiently appropriate for ship monitoring system in the NMEA-0183.

Damage assessment of buildings after 24 January 2020 Elazığ-Sivrice earthquake

  • Nemutlu, Omer Faruk;Balun, Bilal;Sari, Ali
    • Earthquakes and Structures
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    • v.20 no.3
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    • pp.325-335
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    • 2021
  • The majority of Turkey's geography is at risk of earthquakes. Within the borders of Turkey, including the two major active faults contain the North-Eastern and Eastern Anatolia, earthquake, threatening the safety of life and property. On January 24, 2020, an earthquake of magnitude 6.8 occurred at 8:55 p.m. local time. According to the data obtained from the stations in the region, peak ground acceleration in the east-west direction was measured as 0.292 g from the 2308 coded station in Sivrice. It is thought that the earthquake with a magnitude of Mw 6.8 was developed on the Sivrice-Puturge segment of the Eastern Anatolian Fault, which is a left lateral strike slip fault, and the tear developed in an area of 50-55 km. Aftershocks ranging from 0.8 to 5.1 Mw occurred following the main shock on the Eastern Anatolian Fault. The earthquake caused severe structural damages in Elazığ and neighboring provinces. As a result of the field investigations carried out in this study, significant damage levels were observed in the buildings since it did not meet the criteria in the earthquake codes. Within the study's scope, the structural damage cases in reinforced concrete and masonry structures were investigated. Many structural deficiencies and mistakes such as non-ductile details, poor concrete quality, short columns, strong beams-weak columns mechanism, large and heavy overhangs, masonry building damages and inadequate reinforcement arrangements were observed. Requirements of seismic codes are discussed and compared with observed earthquake damage.

Research Trends Featured in the Journal PNF and Movement: 2018-2021 (PNF and Movement 학술지의 연구 동향: 2018년부터 2021년까지)

  • Jun, Deokhoon;Goo, Miran;Lee, Sangyeol;Lee, Myoung-Hee
    • PNF and Movement
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    • v.20 no.2
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    • pp.275-283
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    • 2022
  • Purpose: This study focused on reviewing articles published in Proprioceptive Neuromuscular Facilitation (PNF) and Movement to identify the current research trends featured in the journal. Methods: First, the most frequently used keywords in the 193 studies published in 2018 volume 16, issue 1, to 2021 volume 19, issue 3, were identified to determine the popularity of different topics. Information on the following parameters was collected for each study: research type, level of the study, research topic, diagnosis, application of PNF, and techniques applied. Results: Over the four-year period reviewed, "stroke" was the most frequently used keyword, followed by "balance" and "PNF." In terms of research type, observational analytical studies were the most frequently reported (52.85%), and experimental studies were the second-most common (37.82%). Regarding the research level, it was found that level 5 studies were the most frequent, at 49.74%, and level 2 studies accounted for 28.5% of the publications. Most of the studies stated "stroke patient" (26.42%) as the study diagnosis, except for the studies that recruited healthy people (36.79%). The majority of studies did not implement PNF treatments (15.54%), but a combination of isotonic techniques was most commonly used when PNF was applied. Conclusion: A broad range of topics and types of studies have recently been featured in the journal, including neurological impairments and musculoskeletal disorders. The findings of this review provide insight into future research trends and the direction of the journal PNF and Movement.

A study on the improvement ransomware detection performance using combine sampling methods (혼합샘플링 기법을 사용한 랜섬웨어탐지 성능향상에 관한 연구)

  • Kim Soo Chul;Lee Hyung Dong;Byun Kyung Keun;Shin Yong Tae
    • Convergence Security Journal
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    • v.23 no.1
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    • pp.69-77
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    • 2023
  • Recently, ransomware damage has been increasing rapidly around the world, including Irish health authorities and U.S. oil pipelines, and is causing damage to all sectors of society. In particular, research using machine learning as well as existing detection methods is increasing for ransomware detection and response. However, traditional machine learning has a problem in that it is difficult to extract accurate predictions because the model tends to predict in the direction where there is a lot of data. Accordingly, in an imbalance class consisting of a large number of non-Ransomware (normal code or malware) and a small number of Ransomware, a technique for resolving the imbalance and improving ransomware detection performance is proposed. In this experiment, we use two scenarios (Binary, Multi Classification) to confirm that the sampling technique improves the detection performance of a small number of classes while maintaining the detection performance of a large number of classes. In particular, the proposed mixed sampling technique (SMOTE+ENN) resulted in a performance(G-mean, F1-score) improvement of more than 10%.

The Effect of Program on Emotion of Patients with Schizophrenia: A systematic review of randomized controlled trials (조현병 환자의 정서를 위한 프로그램의 효과: 무작위 대조군 실험연구의 체계적 고찰)

  • Eun-Sol Ju
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.2
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    • pp.77-86
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    • 2023
  • Purpose : This study systematically assessed 9 emotion-function programs for schizophrenic individuals that have been implemented over the past 10 years in Korea and abroad, with the objective of providing clinical grounds and data for further programs. Methods : This study identified 2,558 studies from among those registered in the RISS, KISS, EMbase, PubMed and Scopus databases from 2013 to September 2023, using 'schizophrenia' AND 'emotion' AND ('program' OR 'therapy') as keywords. Of the 2,558 studies retrieved from electronic databases, 602 duplicate papers were excluded. After this process, 1,915 papers that did not meet the study's inclusion and exclusion criteria were excluded based on their titles and abstracts. Following a review of the texts of the remaining 41 papers, nine papers were finally selected, excluding 32 papers according to the selection and exclusion criteria. Results : Programs for the emotional function of patients with schizophrenia have continued to be researched. The results of an evaluation on the quality of the selected literature confirmed that a majority of the reviewed items were "uncertain", confirming that there was a risk of bias. The interventions for emotions included art, cognitive-behavioral, and physical programs, of which art programs were frequently applied. Most of the interventions were implemented in hospitals. The dependent variables for evaluating emotions included emotional expression, depression, anxiety, and positive emotions, and among them, emotional expression was used most frequently. Accordingly, the Berkeley expressivity questionnaire was commonly used as an evaluation tool. Conclusion : This study is significant for intending to analyze domestic and overseas programs for the emotions of patients with schizophrenia, thereby proposing the direction for planning and applying interventions in clinical settings. In follow-up studies, it will be necessary to develop a protocol that confirms interventions according to the settings and patient characteristics of programs and expands the scope of literature reviews.

Evaluation of Standing Committees in Korean Assembly: Focusing on Specialization and Representation. (국회 상임위원회의 운영: 전문성과 대표성의 재평가)

  • Lee, Hyeon-Woo
    • Korean Journal of Legislative Studies
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    • v.15 no.1
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    • pp.145-176
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    • 2009
  • This paper introduces two concepts, specialization and representation, to evaluate activities of standing committees in Korean Assembly. Previous studies have criticized the committees based on frequent change of committee membership. After analyzing the empirical data of Finance and Economy Committee, it turns out that different from the previous arguments, the committee reaches the high level of activities in the perspective of specialization and representation. Changing of committee membership, after considering direction of the change and period of leaving the committee, is less happened than they are supposed. If voting by proxy or absentee voting were allowed, the frequency of the changing membership would be decreased. Study on Finance and Economy committee reveals that the extent of participation of the committee members is similar to the that of the floor meeting and that the number of participants and hours for each meeting display the characteristics of deliberative democracy of committee. Unanimous decisions outnumber majority ones. Therefore, this paper insists that standing committees in Korean Assembly works much better than what they have been criticized

Nutrition education programs necessary for social welfare facilities for persons with disabilities: a cross-sectional study

  • Jinkyung Kim;Min-Sun Jeon
    • Korean Journal of Community Nutrition
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    • v.29 no.1
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    • pp.1-15
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    • 2024
  • Objectives: This study investigated the need for nutrition education aimed at improving the health of residents and users of social welfare facilities for persons with disability and aimed to provide basic information for developing a nutrition education program that meets the needs of the field. Methods: Altogether, 249 employees working in social welfare facilities for people with disabilities were included in the study. Data on the health status of residents/users, meal management, nutritional education, nutritional education needs, and awareness of nutritional education were obtained through online surveys. A descriptive analysis was conducted to analyze the demographic characteristics, needs, and perceptions of the respondents, and independent t-tests and χ2 tests were performed to analyze and compare the differences between residential and daycare facilities. Results: The majority of residents/users of social welfare facilities for persons with disabilities have developmental disabilities. When educating residents with residents/users of social welfare facilities, 'personal hygiene' was the most necessary topic, followed by 'obesity management' education. Regarding the methods of providing education, face-to-face lectures demonstrated a high demand. They responded that when nutrition education experts provide nutrition education to people with disabilities, they must understand 'the physical characteristics of persons with disabilities' and have the ability to determine appropriate nutrition for such people. The most appropriate nutrition program training would be twice a year, lasting 30 min to 1 h per training session. Conclusions: It will present a direction for operating a nutrition education program for persons with disabilities that meets their needs of social welfare facilities and ultimately contribute to the establishment and activation of nutrition education tailored to welfare facilities for such individuals in Korea.

A Spatial Statistical Method for Exploring Hotspots of House Price Volatility (부동산 가격변동 한스팟 탐색을 위한 공간통계기법)

  • Sohn, Hak-Gi;Park, Key-Ho
    • Journal of the Korean Geographical Society
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    • v.43 no.3
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    • pp.392-411
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    • 2008
  • The purpose of this paper is to develop a method for exploring hotspot patterns of house price volatility where there is a high fluctuation in price and homogeneity of direction of price volatility. These patterns are formed when the majority of householders in an area show an adaptive tendency in their decision making. This paper suggests a method that consists of two analytical parts. The first part uses spatial scan statistics to detect spatial clusters of houses with a positive range of price volatility. The second part utilizes local Moran's I to evaluate the homogeneity of direction of price volatility within each cluster. The method is applied to the areas of Gangnam-Gu, Seocho-Gu, and Songpa-Gu in Seoul from August to November of 2003; the Participatory Government of Korea designated these areas and this period as the most speculative. The results of the analysis show that the area around Gaepo-Dong was as a hotspot before the Government's anti-speculative 10.29 policy in 2003; the house prices in the same area stabilized in October, 2003 and the area was identified as a coldspot in December, 2003. This case study shows that the suggested method enables exploration of hotspot of house price volatility at micro spatial scales which had not been detected by visual analysis.

Dual Dictionary Learning for Cell Segmentation in Bright-field Microscopy Images (명시야 현미경 영상에서의 세포 분할을 위한 이중 사전 학습 기법)

  • Lee, Gyuhyun;Quan, Tran Minh;Jeong, Won-Ki
    • Journal of the Korea Computer Graphics Society
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    • v.22 no.3
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    • pp.21-29
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    • 2016
  • Cell segmentation is an important but time-consuming and laborious task in biological image analysis. An automated, robust, and fast method is required to overcome such burdensome processes. These needs are, however, challenging due to various cell shapes, intensity, and incomplete boundaries. A precise cell segmentation will allow to making a pathological diagnosis of tissue samples. A vast body of literature exists on cell segmentation in microscopy images [1]. The majority of existing work is based on input images and predefined feature models only - for example, using a deformable model to extract edge boundaries in the image. Only a handful of recent methods employ data-driven approaches, such as supervised learning. In this paper, we propose a novel data-driven cell segmentation algorithm for bright-field microscopy images. The proposed method minimizes an energy formula defined by two dictionaries - one is for input images and the other is for their manual segmentation results - and a common sparse code, which aims to find the pixel-level classification by deploying the learned dictionaries on new images. In contrast to deformable models, we do not need to know a prior knowledge of objects. We also employed convolutional sparse coding and Alternating Direction of Multiplier Method (ADMM) for fast dictionary learning and energy minimization. Unlike an existing method [1], our method trains both dictionaries concurrently, and is implemented using the GPU device for faster performance.