• Title/Summary/Keyword: expressive performance

Search Result 57, Processing Time 0.022 seconds

The Case Study of Reflective Practice of the Liberal Dance Class in University (대학 교양무용 수업의 반성적 실천 사례)

  • Park, Ji-Won;Kim, Je-Young;Kim, Ji-Young
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.11
    • /
    • pp.626-635
    • /
    • 2013
  • The purpose of this study is to research the practical cases of the reflective curriculum design and the improvement of the dance courses as a general education at University. This study deals with the recreation dance program with 40 students participating for 15 weeks. This study is qualitative research to explore the practical meaning and value the process on the basis of the interviews and reports of the students and the class evaluation of the instructors. The results were as follows: First is the experience of 'thinking dance'. Not just a functional movement, but moreover, they could experience the attraction, sensitivity and culture of the dance altogether. Second is the experience of 'communicating dance'. They experienced the sociability from the relationship with new partners, the overcome of the passivity (shyness) and the manner of consideration. The third is the experience of 'creating dance together'. As a member of a group, they could learn the integrity, responsibility and satisfaction in the middle of cooperative task performance. The view from the teacher regarding the class reflective assessment is as followed: The importance of dance instruction is to improve the expressive personality and potentiality of the students. Forcing the students to follow the basic choreography could be exhaustive.

A Study on Conversion Methods for Generating RDF Ontology from Structural Terminology Net (STNet) based on RDB (관계형 데이터베이스 기반 구조적학술용어사전(STNet)의 RDF 온톨로지 변환 방식 연구)

  • Ko, Young Man;Lee, Seung-Jun;Song, Min-Sun
    • Journal of the Korean Society for information Management
    • /
    • v.32 no.2
    • /
    • pp.131-152
    • /
    • 2015
  • This study described the results of converting RDB to RDF ontology by each of R2RML method and Non-R2RML method. This study measured the size of the converted data, the conversion time per each tuple, and the response speed to queries. The STNet, a structured terminology dictionary based on RDB, was served as a test bed for converting to RDF ontology. As a result of the converted data size, Non-R2RML method appeared to be superior to R2RML method on the number of converted triples, including its expressive diversity. For the conversion time per each tuple, Non-R2RML was a little bit more faster than R2RML, but, for the response speed to queries, both methods showed similar response speed and stable performance since more than 300 numbers of queries. On comprehensive examination it is evaluated that Non-R2RML is the more appropriate to convert the dynamic RDB system, such as the STNet in which new data are steadily accumulated, data transformation very often occurred, and relationships between data continuously changed.

Data Mining Algorithm Based on Fuzzy Decision Tree for Pattern Classification (퍼지 결정트리를 이용한 패턴분류를 위한 데이터 마이닝 알고리즘)

  • Lee, Jung-Geun;Kim, Myeong-Won
    • Journal of KIISE:Software and Applications
    • /
    • v.26 no.11
    • /
    • pp.1314-1323
    • /
    • 1999
  • 컴퓨터의 사용이 일반화됨에 따라 데이타를 생성하고 수집하는 것이 용이해졌다. 이에 따라 데이타로부터 자동적으로 유용한 지식을 얻는 기술이 필요하게 되었다. 데이타 마이닝에서 얻어진 지식은 정확성과 이해성을 충족해야 한다. 본 논문에서는 데이타 마이닝을 위하여 퍼지 결정트리에 기반한 효율적인 퍼지 규칙을 생성하는 알고리즘을 제안한다. 퍼지 결정트리는 ID3와 C4.5의 이해성과 퍼지이론의 추론과 표현력을 결합한 방법이다. 특히, 퍼지 규칙은 속성 축에 평행하게 판단 경계선을 결정하는 방법으로는 어려운 속성 축에 평행하지 않는 경계선을 갖는 패턴을 효율적으로 분류한다. 제안된 알고리즘은 첫째, 각 속성 데이타의 히스토그램 분석을 통해 적절한 소속함수를 생성한다. 둘째, 주어진 소속함수를 바탕으로 ID3와 C4.5와 유사한 방법으로 퍼지 결정트리를 생성한다. 또한, 유전자 알고리즘을 이용하여 소속함수를 조율한다. IRIS 데이타, Wisconsin breast cancer 데이타, credit screening 데이타 등 벤치마크 데이타들에 대한 실험 결과 제안된 방법이 C4.5 방법을 포함한 다른 방법보다 성능과 규칙의 이해성에서 보다 효율적임을 보인다.Abstract With an extended use of computers, we can easily generate and collect data. There is a need to acquire useful knowledge from data automatically. In data mining the acquired knowledge needs to be both accurate and comprehensible. In this paper, we propose an efficient fuzzy rule generation algorithm based on fuzzy decision tree for data mining. We combine the comprehensibility of rules generated based on decision tree such as ID3 and C4.5 and the expressive power of fuzzy sets. Particularly, fuzzy rules allow us to effectively classify patterns of non-axis-parallel decision boundaries, which are difficult to do using attribute-based classification methods.In our algorithm we first determine an appropriate set of membership functions for each attribute of data using histogram analysis. Given a set of membership functions then we construct a fuzzy decision tree in a similar way to that of ID3 and C4.5. We also apply genetic algorithm to tune the initial set of membership functions. We have experimented our algorithm with several benchmark data sets including the IRIS data, the Wisconsin breast cancer data, and the credit screening data. The experiment results show that our method is more efficient in performance and comprehensibility of rules compared with other methods including C4.5.

A Study on 'Seungininsangmu' of Haejugwonbeon (<성인인상무>에 대한 연구)

  • Kim, Young-Hee;Kim, Kyung-Sook
    • (The) Research of the performance art and culture
    • /
    • no.35
    • /
    • pp.93-123
    • /
    • 2017
  • The Buddhist dance, which is considered to be the essence of Korean folk dance, has changed and developed over many years, having profound influential relations with Buddhism in terms of its origin, source, title, and costumes. Today the Buddhist dance is performed in two fixed types, Jangsam dance and Buk dance, but it is estimated that there must have been various forms of Buddhist dance during the Japanese rule based on the its historicity and various origination theories. It was around 1940 that Jang Yang-seon, the master of Haejugwonbeon, turned 'Seungininsangmu' into a work through Yang So-woon. The present study analyzed the video of 'Seungininsangmu' performed at the 'Performance in the Memory of Yang So-woon' in 2010, and the analysis results were as follows: first, the dance has a clear message to be delivered in its title and connotes an origination theory of Buddhist dance, which argues that the Buddhist dance was created by a Buddhist that underwent agony and corruption during his ascetic practice and later returned to Buddhism. Secondly, the process of Jangsam dance - Buknori - Bara dance - Heoteun dance - Hoisimgok - Guiui shows the thematic consciousness of the dance clearly in a sequential manner. Finally, the dance was in a form of combining various expressive methods according to the story and its development including the Bara dance, a dance performed in a Buddhist ceremony, the Heoteun dance, which is strongly characterized by individuality and spontaneity that are folk features, and Hoisimgok, the Buddhist music. Those findings indicate that the dance reflected well the flow of putting the Buddhist dance on the stage or turning it into a work in the early 20th century. Compared with the types of Buddhist dance in a strong form including the Jangsam dance and Buk dance, 'Seungininsangmu' conveys the meanings that the original Buddhist dance tried to express in terms of content and reflects on the diversity of combined Akgamu and theatrical elements in terms of form. The present study is significant in that it offers many implications for the Buddhist dance capable of future-oriented development.

The post-epic characteristics in Jan Lauwers' theatre -, and - (얀 라우어스(Jan Lauwers) 공연의 탈서사적 특징들 -<이사벨라의 방(Isabella's Room)>, <랍스터 가게(The Lobster Shop)>, <사슴의 집(Deer House)>을 중심으로-)

  • Nam, Jisoo
    • Journal of Korean Theatre Studies Association
    • /
    • no.48
    • /
    • pp.447-484
    • /
    • 2012
  • This study aims to analyze the characteristics of post-epic theatre in the Belgian theatre director Jan Lauwers' trilogy titled in "Happy Face/Sad Face": (2004), (2006) and (2008). I regard that it played a very important junction for him to create his own theatrical style compared to earlier years. From this period, Lauwers has tried to create his original plays in order to concentrate the story of our era and has showed to combine a variety of media such as dance, installation, video, singing etc. In this context, I would like to study his own theatricality from the three perspectives of dramaturgy, directing and acting largely based on Hans-Thies Lehmann's theory of post-epic theatre, who pointed out the significance of Lauwer's theatrical leading role very early. First, from the dramaturgical point of view, we need to pay attention to the theme of translunary death; where the living and the dead coexist on the stage. In fact, death is the theme that Lauwers has been struggling to research for quite long time. In his trilogy, the dead never exits the stage. The dead, who is not a representative tragic character, even meddles the things among or with the living and provide comments to people. As a consequence, it happens to reduce a dramaturgical strong tension, leads depreciation of suspense and produces humanism in a way. This approach helps to create his unique comical theatrical atmosphere even though he deals with the contemporary tragic issues such as war, horror and death. Second, from the directing point of view, it is worth to take a look at the polyphonic strategy in terms to applying various media. Among all the things, the arts of dancing and singing in chorus are actively applied in Lauwer's trilogy. The dance is used in individual and microscopic way, on the other hand, singing shows collective and is a macroscopic quality. The dance is the representing media to show Lauwer's simultaneous microscopic mise-en-scene. While main plot takes place around the center-stage, actors perform a dance around the off-centered stage. Instead of exiting from the stage during the performance, the actors would continue dance -sometimes more like movements- around the off-centered stage. This not only describes the narrative, but also shows how each character is engaged to the main plot or incident, and how they look into it as a character. Its simultaneous microscopic mise-en-scene intends to function such as: showing a variety moments of lives, amplifying some moments or incidents, revealing character's emotion, creating illusionary theatrical atmosphere and so on. Meanwhile, singing simple lyrics and tunes are an example of the media to stimulate the audiences' catharsis. As the simple melody lingers in the audiences' mind, it ends up delivering a theatrical message or theme after the performance. This message would be transferred from the singing in chorus functions as a sort of leitmotive in order to make an impression to the audience. This not only richens their emotion but also creates an illusionary effect. Third, from the acting perspective, I'd like to point out the "detachment" aesthetic which Lehmann has pointed out. The actors never go deep into the drama by consistently doing recognize a theatrical illusion. The audience happens to pay attention to their presence through the actor's deliberate gesture, business, movement, rhythm, language, dance etc. The actors are against forming closed action by speaking in various languages or by revealing deliberately stage directions or acts, and by creating expressive mise-en-scene with multiple media. As a consequent, the stage can be transformed to not a metaphoric but a metonymic place. These actions are the ultimate intention for a direct effect to the audience. So to speak, Lauwers uses the anti-illusionary theatrical method: the scenes of fantastic death, interruption of singing and dance, speaking many kinds of languages, acting in detachment-status and so on. These strategies function to make cracks in spectators' desire who has a desire to construct a linear narrative. I'd like to say that it is the numerous potentiality to let the reality penetrate though and collide the reality with a fiction. By doing so, it induces for spectators to see the reality in the fiction. As Lehmann says, "when theatre presents itself as a sketch and not as a finished painting, the spectators are given the chance to feel their own presence, to reflect on it, and to contribute to the unfinished character themselves". In this sense the spectators can perform an objective criticism on our society and world in Lauwer's theatre because there are a number of gaps and cracks in his theatrical illusion where reality can penetrate. This is also the point that we can find out the artists' responsibility in this era of our being.

Seeking for a Curriculum of Dance Department in the University in the Age of the 4th Industrial Revolution (4차 산업혁명시대 대학무용학과 커리큘럼의 방향모색)

  • Baek, Hyun-Soon;Yoo, Ji-Young
    • Journal of Korea Entertainment Industry Association
    • /
    • v.13 no.3
    • /
    • pp.193-202
    • /
    • 2019
  • This study focuses on what changes are required as to a curriculum of dance department in the university in the age of the 4th industrial revolution. By comparing and analyzing the curricula of dance department in the five universities in Seoul, five academic subjects as to curricula of dance department, which covers what to learn for dance education in the age of the 4th industrial revolution, are presented. First, dance integrative education, the integration of creativity and science education, can be referred to as a subject that stimulates ideas and creativity and raises artistic sensitivity based on STEAM. Second, the curriculum characterized by prediction of the future prospect through Big Data can be utilized well in dealing with dance performance, career path of dance-majoring people, and job creation by analyzing public opinion, evaluation, and feelings. Third, video education. Seeing the images as modern major media tends to occupy most of the expressive area of art, dance by dint of video enables existing dance work to be created as new form of art, expanding dance boundaries in academic and performing art viewpoint. Fourth, VR and AR are essential techniques in the era of smart media. Whether upcoming dance studies are in the form of performance or education or industry, for VR and AR to be digitally applied into every relevant field, keeping with the time, learning about VR and AR is indispensable. Last, the 4th industrial revolution and the curriculum of dance art are needed to foresee the changes in the 4th industrial revolution and to educate changes, development and seeking in dance curriculum.

Major Class Recommendation System based on Deep learning using Network Analysis (네트워크 분석을 활용한 딥러닝 기반 전공과목 추천 시스템)

  • Lee, Jae Kyu;Park, Heesung;Kim, Wooju
    • Journal of Intelligence and Information Systems
    • /
    • v.27 no.3
    • /
    • pp.95-112
    • /
    • 2021
  • In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.