• Title/Summary/Keyword: CEST

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A Study on the Tradition and Identity of Bodily Expression System in India (인도 신체표현(āṅgika abhinaya)체계의 전통성과 정체성에 관한 고찰 - 『나띠야 샤스뜨라』의 규정을 중심으로 -)

  • Huh, Dongsung
    • (The) Research of the performance art and culture
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    • no.18
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    • pp.223-255
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    • 2009
  • This paper deals with the tradition and identity of physical expression(${\bar{a}}{\dot{n}}gika$ abhinaya) system in Indian traditional theatre and dance. The ${\bar{a}}{\dot{n}}gika$ abhinaya of Indian dance and theatre has been stylized through long terms and thereby defines their identity and peculiarity by its highly stylized expression techniques while following dramatic way($n{\bar{a}}tya$-dharmi). The ${\bar{a}}{\dot{n}}gika$ abhinaya is said to had been derived from the ritualistic practice of ancient Vedic period(B.C. 15th-B.C. 5th c.), which is most clearly exemplified in hand gesture(hasta mudra). In $N{\bar{a}}tya$ ${\acute{S}}astra$, ${\bar{a}}{\dot{n}}gika$ abhinaya is explained in detail. It is classified broadly into facial expression(mukhaja abhinaya), gesture expression(śārīra abhinaya), movement expression($cest{\bar{a}}krita$ abhinaya). Further, $N{\bar{a}}tya$ ${\acute{S}}astra$ divides their various usages by parts which include head, glance, eyes, nose, eyelid, cheek, lower lip, chin, mouth, hand, chest, waist, belly, hip. thigh, claf, foot. Besides, it explains diverse ways of foot movement($c{\bar{a}}ri$), standing poses(sthana), gait(gati) and their combined movements(mandala). Many forms of Indian traditional theatre and dance basically follows the rule of ${\bar{a}}{\dot{n}}gika$ abhinaya proposed in $N{\bar{a}}tya$ ${\acute{S}}astra$, which identifies their unique characteristics.

Association-Based Knowledge Model for Supporting Diagnosis of a Capsule Endoscopy (캡슐내시경 검사의 진단 보조를 위한 연관성 기반 지식 모델)

  • Hwang, Gyubon;Park, Ye-Seul;Lee, Jung-Won
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.10
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    • pp.493-498
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    • 2017
  • Capsule endoscopy is specialized for the observation of small intestine that is difficult to access by general endoscopy. The diagnostic procedure through capsule endoscopy consists of three stages: examination of indicant, endoscopy, and diagnosis. At this time, key information needed for diagnosis includes indicant, lesions, and suspected disease information. In this paper, these information are defined as semantic features and the extracting process is defined as semantic-based analysis. It is performed in whole capsule endoscopy. First, several symptoms of patient are checked before capsule endoscopy to get some information on suspected disease. Next, capsule endoscopy is performed by checking the suspected diseases. Finally, diagnosis is concluded by using supporting information. At this time, some association are used to conclude diagnosis. For example, there are the disease association between the symptom and the disease to identify the expected disease, and the anatomical association between the location of the lesion and supporting information. However, existing knowledge models such as MST and CEST only lists the simple term related to endoscopy and cannot consider such semantic associations. Therefore, in this paper, we propose association-based knowledge model for supporting diagnosis of capsule endoscopy. The proposed model is divided into two; a disease model and anatomical model of small intestine, interesting area(organs) of capsule endoscopy. It can effectively support diagnosis by providing key information for capsule endoscopy.