• Title/Summary/Keyword: Creative performance

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Lost in Cultural Studies: Searching for an Exit in Drama/Theatre/Performance Studies (문화연구에서 길을 잃다: 한 드라마 연구자의 출구 찾기)

  • Choi, Sung Hee
    • Cross-Cultural Studies
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    • v.21
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    • pp.189-211
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    • 2010
  • The purpose of this paper is to 1)examine the current state of cultural studies in Korea with a focus on recent discourses about its 'crisis' and 2)attempt to find some ways out of these dilemmas in drama/theatre/performance studies. As Raymond Williams redefined 'culture' as 'a whole way of life,' performance studies has expanded the boundary of 'performance' from traditional performing arts onto almost everything that can be studied and analyzed 'as' performance. Performance is not only the final product on display but a whole process that includes training, workshop, and rehearsal of culture. According to Richard Schechner, workshop and rehearsal are the most critical and creative 'liminal' phases that allow traditional knowledge and alternative challenges to coexist in conflict and intentionally delay the final decision by putting itself in a perpetual process. From this view, this essay attempts to find an-no matter how limited and temporary-answer to or a possible exit from political and theoretical aporias of cultural studies.

An Overview of Structural and Aesthetic Developments in Tall Buildings Using Exterior Bracing and Diagrid Systems

  • Al-Kodmany, Kheir;Ali, Mir M.
    • International Journal of High-Rise Buildings
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    • v.5 no.4
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    • pp.271-291
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    • 2016
  • There is much architectural and engineering literature which discusses the virtues of exterior bracing and diagrid systems in regards to sustainability - two systems which generally reduce building materials, enhance structural performance, and decrease overall construction cost. By surveying past, present as well as possible future towers, this paper examines another attribute of these structural systems - the blend of structural functionality and aesthetics. Given the external nature of these structural systems, diagrids and exterior bracings can visually communicate the inherent structural logic of a building while also serving as a medium for artistic effect. Viewed in this light, the visual appeal of these systems can be enhanced to give a tower a more distinct urban identity. This entails the creation of structural elements that are aesthetically pleasing, geometrically coherent and that demonstrate dexterity of application in regards to a building's composition, while also respecting the laws of physics and mechanics. In this fashion, an artistic approach can exhibit structural systems as not just purely rational features that enable the construction of tall buildings, but as important visual components that afford opportunities for creative expression. This paper, therefore, synthesizes the concepts of structural performance and creative artistry to facilitate a better understanding of the aesthetic developments in skyscrapers worldwide.

Time Series Classification of Cryptocurrency Price Trend Based on a Recurrent LSTM Neural Network

  • Kwon, Do-Hyung;Kim, Ju-Bong;Heo, Ju-Sung;Kim, Chan-Myung;Han, Youn-Hee
    • Journal of Information Processing Systems
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    • v.15 no.3
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    • pp.694-706
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    • 2019
  • In this study, we applied the long short-term memory (LSTM) model to classify the cryptocurrency price time series. We collected historic cryptocurrency price time series data and preprocessed them in order to make them clean for use as train and target data. After such preprocessing, the price time series data were systematically encoded into the three-dimensional price tensor representing the past price changes of cryptocurrencies. We also presented our LSTM model structure as well as how to use such price tensor as input data of the LSTM model. In particular, a grid search-based k-fold cross-validation technique was applied to find the most suitable LSTM model parameters. Lastly, through the comparison of the f1-score values, our study showed that the LSTM model outperforms the gradient boosting model, a general machine learning model known to have relatively good prediction performance, for the time series classification of the cryptocurrency price trend. With the LSTM model, we got a performance improvement of about 7% compared to using the GB model.

On a New Index for Research Assessment

  • Farid, Farid O.
    • Journal of Information Science Theory and Practice
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    • v.9 no.3
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    • pp.56-75
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    • 2021
  • We introduce a new research assessment measure, called the research excellence index. The measure, which we denote by RE-index, accurately assesses the research performance of a researcher. The methodology used in deriving the RE-index tackles many of the flaws of popular research performance indicators such as publication counts, citation counts, and the h and g indices. A dataset is introduced, which takes advantage of the wide coverage of Scopus and the Library of Congress, and, at the same time, deals with the Scopus database depth problem. For an academic publication x, a prestige-type and length scores are assigned, and if x is published in an academic periodical publication J, the stature of J is identified through a quartile score. The three scores are used to assign a value score to every academic publication, and cited academic publications are given citation scores that encompass both cases of including and excluding self-citations. The foregoing scores are used to derive another set of scores measuring the combined qualitative and quantitative aspects of the creative work, citations of creative work, informative work and citations of informative work of a researcher. The scores take into consideration co-authorship. From these scores, two versions of the RE-index for a researcher are derived, covering the cases of including and excluding self-citations. The new measure is calculated for two mathematicians.

A Novel on Auto Imputation and Analysis Prediction Model of Data Missing Scope based on Machine Learning (머신러닝기반의 데이터 결측 구간의 자동 보정 및 분석 예측 모델에 대한 연구)

  • Jung, Se-Hoon;Lee, Han-Sung;Kim, Jun-Yeong;Sim, Chun-Bo
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.257-268
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    • 2022
  • When there is a missing value in the raw data, if ignore the missing values and proceed with the analysis, the accuracy decrease due to the decrease in the number of sample. The method of imputation and analyzing patterns and significant values can compensate for the problem of lower analysis quality and analysis accuracy as a result of bias rather than simply removing missing values. In this study, we proposed to study irregular data patterns and missing processing methods of data using machine learning techniques for the study of correction of missing values. we would like to propose a plan to replace the missing with data from a similar past point in time by finding the situation at the time when the missing data occurred. Unlike previous studies, data correction techniques present new algorithms using DNN and KNN-MLE techniques. As a result of the performance evaluation, the ANAE measurement value compared to the existing missing section correction algorithm confirmed a performance improvement of about 0.041 to 0.321.

Clustering-based Collaborative Filtering Using Genetic Algorithms (유전자 알고리즘을 이용한 클러스터링 기반 협력필터링)

  • Lee, Soojung
    • Journal of Creative Information Culture
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    • v.4 no.3
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    • pp.221-230
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    • 2018
  • Collaborative filtering technique is a major method of recommender systems and has been successfully implemented and serviced in real commercial online systems. However, this technique has several inherent drawbacks, such as data sparsity, cold-start, and scalability problem. Clustering-based collaborative filtering has been studied in order to handle scalability problem. This study suggests a collaborative filtering system which utilizes genetic algorithms to improve shortcomings of K-means algorithm, one of the widely used clustering techniques. Moreover, different from the previous studies that have targeted for optimized clustering results, the proposed method targets the optimization of performance of the collaborative filtering system using the clustering results, which practically can enhance the system performance.

Study on the Self-Efficacy for Older Adults Living Alone using Pansori Creative Therapy Program - Focusing on Vocal Sound - (판소리 창작 음악치료 프로그램을 통한 독거노인의 자기효능감 증진에 관한 연구 - 성음을 중심으로-)

  • Kim, Cheon Sa
    • Journal of Music and Human Behavior
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    • v.8 no.1
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    • pp.43-60
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    • 2011
  • The purpose of this study is to examine the effects of Pansori creative therapy focusing on a vocal sound on the self-efficacy of older adults living alone. Participants were 6 aged people who were living alone and who attended S Welfare Center for aged people. Pansori creative programs were provided twice a week for 6 weeks. The program consisted of 5 stages that had 50 minutes for each section. Quantitative data were collected from a pre-and post-self-efficacy scale (Park, Gyung-min, 1994) in order to confirm the changes in self-efficacy of the participants. Results showed statistical significance in self-efficacy scores (p < .05). In addition, positive verbal comments on decreased performance anxiety were found from participants during interviews conducted after the completion of Pansori creative program.

A study on how the choice attributes of creative musical has the different impact on satisfaction, depending on the use of SNS (SNS 활용여부에 따라 창작뮤지컬에 대한 선택속성이 만족도에 미치는 영향력 차이에 관한 연구)

  • Koo, Eun-Ja
    • Journal of Satellite, Information and Communications
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    • v.10 no.1
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    • pp.33-43
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    • 2015
  • This study, by using SNS, is to find ways to improve the recognition of the audience on creative musical for performance planning and marketing after looking into how the choice attributes of creative musical has the different impact on satisfaction. As a result, the audiences who use SNS show that the composition of content(1st ranking), main actors(2nd ranking), reviews on musical(3rd raking), and production(4th ranking) have the impact on their satisfaction but the stage composition, staff service, satisfaction on theater, and admission fee haven't. For those who don't use SNS, however, the composition of content(1st ranking), reviews on musical(2nd ranking), production(3rd raking), and main actors(4th ranking) affect the satisfaction while the staff service, stage composition, admission fee, satisfaction on theater hardly make any effect on it.

A Study of the Creative Application of Performing Arts Archives in the Fourth Industrial Revolution (4차 산업혁명 시대의 공연예술아카이브와 창조적 활용)

  • Choi, Haeree
    • Trans-
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    • v.6
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    • pp.1-15
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    • 2019
  • Performing arts is an intangible arts that disappears immediately at the moment it is presented and remains only in the memory of the performer's body and audience. The same repetition, restoration and reproduction of the disappeared performance is impossible, but artists of all times and places have tried various recording methodology to leave their performances in the tangible form. The performing arts archive is where performing arts are recorded, preserved, and utilized. In the fourth industrial Revolution era, library institutions in developed countries are turning into institutions that support creative activity by not only artists but also the general public. Korea's performing arts archives should also shift from the role of an old archive to a platform to create new cultural contents. This paper summarizes the changes in the Korean performing arts archive and presents the creative application of the performing arts archive in response to the fourth industrial revolution.

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Preparation of Cucurbituril Anchored Silica Gel by Cross Polymerization and Its Chromatographic Applications

  • Cheong, Won-Jo;Go, Joung-Ho;Baik, Yoon-Suk;Kim, Sung-Soon;Nagarajan, Erumaipatty R;Selvapalam, Narayanan;Ko, Young-Ho;Kim, Ki-Moon
    • Bulletin of the Korean Chemical Society
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    • v.29 no.10
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    • pp.1941-1945
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    • 2008
  • A new chromatographic stationary phase has been prepared by cross polymerization between allylsilica and perallyloxycucurbit[6]uril and characterized by elemental analysis and FT-IR spectroscopy. The double endcapping has been proven to improve the separation efficiency of the cucurbituril-based stationary phase material. The first end-capping was carried out when allylsilica was made. The second end-capping was done as the final step of the whole process, and the use of a mixture of hexamethyldisilazane (HMDS) and trimethylchlorosilane (TMCS) as an end-capping reagent was found better than the use of only HMDS or TMCS. Our stationary phase has shown generally good results in separation of nonpolar and polar analytes. This phase showed even better separation performance than the commercial C18 phase for the case where hostguest chemistry was properly incorporated in solute retention.