• Title/Summary/Keyword: world languages

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An Interpretative Study on the Nam-Sa Village Space by Shamanistic Space Model (무속 공간모형에 의한 남사마을 공간 해석에 관한 연구)

  • 김동찬;이윤수;임상재
    • Journal of the Korean Institute of Landscape Architecture
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    • v.27 no.2
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    • pp.95-107
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    • 1999
  • Shamanism is an ancient culture that is also considered as a religious rite by most of people. So, shamanism is an important part of Korean tradition and should be a significant base to the Korean exterior space organization theme. However in the field of Landscape architecture th principle of exterior spacing has not yet clearly been identified as shamanistic. Therefore believe that this study can exhibit a model for the study of shaministic space language and its application to one of Korean's village Namsa. The results of this study are summarized below; 1. Extracted models are Unspecialized· Circular·Coninuous space. These are analyzed on the basis of the shaministic space language. Also shaministic space languages are based with Korean common belief of eternal human identify, circular view of the world. 2. Applying the shamanistic space models to Namsa village shows that shamanistic space models follow the Korean space organization principle. Some area of the village do not apply, because they were built on the structure of the social hierarchy between families or the difference between head households and collateral households. 3. Applying the shamanistic space model to Namsa village shows that the shamanistic space model follows the Korean space organization principle. Therefore can say that Namsa village was built by a shamanistic system that pursued eternal human identity.

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A Study of the Stuctual Elements of lcons through MINHWA in Lee Dynasty (민화의 구성요소에 관한 연구)

  • 오근재
    • Archives of design research
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    • v.9
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    • pp.701-712
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    • 1994
  • We are in the process of the deepening of the informationalized society. Such a phenomenon(of deepening of the informationalized society) means that human being is surrounded by a linguistic or semiological environment instead of realistic experience. And it is concerned with the visual design composed by the visual languages and semiotics of Arts. Because the visual design is a kind of the linguisticsmion using the visual formation. This penomena necessarily brings the expansion of the quatity of information and accompanies the simplification of messages. Therefore when we apply the simplicity resulting from the ideality of KYEORE painting(the folk Art of Korea), it can be cotribute to those who should be in the center of semiological environment more deeply as a source to maximize the effect of communication, which is the conclusion of this study. In sort, the characteristics of our KYEORE painting is the ideal expression. There are found not a few problems such as the depiction of forms, the perspective representation, the chiaroscuro, the expression of material if we evaluate them from the western formative viewpoint. But the depiction of the fact is less direct than the ideal expression itself, is likely to be much complicated, and can be far away from the world of reality. Because it is just the first step for satisfying the ideal images in man. In the composition of KYEORE painting is dominated by the rules nonprescription of time amd place, colloquialism of the meaning, distinction maximization. They are all the compositive characteristics resulting from the ideality. If these characteristics are modulated intelligently to the current thoughts, they will help to build the new visual communication system of Korea which has more direct and fast absorption force.

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A Comprehension of Life in Korean Medicine (한의학에서의 생명에 대한 이해)

  • Sohn, In Chul;Kim, Jaehyo
    • Korean Journal of Acupuncture
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    • v.30 no.1
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    • pp.9-15
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    • 2013
  • Objectives : Definition of Life has led an identity and advancement in the knowledge system of science including biomedicine. The world welcomes the new paradigm about the integrative medicine throughout Western Medicine and Traditional Medicine co-exists so far. Methods : Thus this study has comprised how Life was interpreted in Korean Medical history. To reach the purpose, various data and documents about Life subjected to the medical field was collected from medical textbooks and chapters presented in ancient Korean Medicine. Results : Most of important issue is Life as the key even though there are many opinions and conflicts in the view of Life between Western and Korean medical culture. As a result it is not different in the concept of Life each other except for speaking differently same as using the different languages. Integrative Medicine has accepted that it emphasizes the therapeutic relationship between practitioner and patient, is informed by evidence, and makes use of all appropriate therapies. Integrative Medicine declares to be a kind of medicine if vary medical system can focus on human being. Conclusions : Since Korean Medicine was early therapeutic medical categories developed based on Dao, Korean Medicine have to focus on mind and body interactive relationship and attribute to the public health care system in the future.

A Study on the Influences of Fine Art On Modern Landscape Design (모더니즘 조경설계에 미친 미술의 영향에 관한 연구)

  • 김한배
    • Journal of the Korean Institute of Landscape Architecture
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    • v.29 no.4
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    • pp.53-66
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    • 2001
  • Modern art has had a great impact on the concepts and the formal attributes of modern landscape design. This study aimed at examining the origins of modern landscape design languages especially in relation to the influence of find art during the modernist age. The formal reductionism of Cubistic paintings finally lead to the formulation of Geometrical Abstractionism which became the basic formal model for ˝Regular Style˝; one of the representative modern landscape style. This Regular Style is mostly based on the formal structure of ´Grids´, which was developed by many landscape designer like Eckbo, Kley and Halprin. On the other hand, the ´Bio-morphic Form´ originally used in Surrealistic Art became the formal model for ˝Organic Style˝; the other representative modern landscape style, developed mostly by the landscape designers like Church, Burle-Mark and Bye. Thus, ´Grids´ and ´Bio-morphic Form´ became the dual icons of modern art and modern landscape design. Although these modern landscape design styles were ground breaking departure from the conventional formal/informal tradition and expanded possibilities in formal experimentations, They also produced several crucial limitations originated from the scientific reductionism and autonomous aesthetics of modern art, like the physical and cultural discontinuation from surrounding environments and the formal alienation from the real life world, which gave rise to the emergence of post-modern thinking of landscape design.

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Design of the Linguistic Contents for Elementary Korean Education of Foreigners (외국인을 위한 초급 한글교육용 어학 콘텐츠의 설계)

  • Kang, Ji-Hoon;Moon, Sang-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.931-933
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    • 2010
  • There are various types of educational contents in mobile world. Moreover new and various kinds of contents have been developed recently according the smart phone has become popular. Therefore, many telecommunication companies of domestic and overseas are showing many kinds of smart phone as to customers are growing more and more interested in mobile devices. Currently, most of the language educational contents are composed to foreign languages like English, Japanese, Chinese, but the development of Korean educational contents are inadequate. In this paper, so, we design the linguistic contents for beginning Koran education of foreigner which are used on mobile platforms.

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Development of a Foreign Language Speaking Training System Based on Speech Recognition Technology (음성 인식 테크놀로지 기반의 외국어 말하기 훈련 시스템 개발)

  • Koo, Dukhoi
    • Journal of The Korean Association of Information Education
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    • v.23 no.5
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    • pp.491-497
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    • 2019
  • As the world develops into a global society, more and more people want to speak foreign languages fluently. To speak fluently, you must have sufficient training in speaking, which requires a dialogue partner. Recently, it is expected that the development of voice recognition information technology will enable the development of a system for conducting foreign language speaking training without human beings from the other party. In this study, a test bed system for foreign language speaking training was developed and applied to elementary school classes. Elementary school students were asked to present their English conversation situation and conduct speaking training. Then, satisfaction with the system and potential for continuous utilization were surveyed. The system developed in this study has been identified as helpful for the training of learning to speak a foreign language.

Identifying Mobile Owner based on Authorship Attribution using WhatsApp Conversation

  • Almezaini, Badr Mohammd;Khan, Muhammad Asif
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.317-323
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    • 2021
  • Social media is increasingly becoming a part of our daily life for communicating each other. There are various tools and applications for communication and therefore, identity theft is a common issue among users of such application. A new style of identity theft occurs when cybercriminals break into WhatsApp account, pretend as real friends and demand money or blackmail emotionally. In order to prevent from such issues, data mining can be used for text classification (TC) in analysis authorship attribution (AA) to recognize original sender of the message. Arabic is one of the most spoken languages around the world with different variants. In this research, we built a machine learning model for mining and analyzing the Arabic messages to identify the author of the messages in Saudi dialect. Many points would be addressed regarding authorship attribution mining and analysis: collect Arabic messages in the Saudi dialect, filtration of the messages' tokens. The classification would use a cross-validation technique and different machine-learning algorithms (Naïve Baye, Support Vector Machine). Results of average accuracy for Naïve Baye and Support Vector Machine have been presented and suggestions for future work have been presented.

Minimally Supervised Relation Identification from Wikipedia Articles

  • Oh, Heung-Seon;Jung, Yuchul
    • Journal of Information Science Theory and Practice
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    • v.6 no.4
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    • pp.28-38
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    • 2018
  • Wikipedia is composed of millions of articles, each of which explains a particular entity with various languages in the real world. Since the articles are contributed and edited by a large population of diverse experts with no specific authority, Wikipedia can be seen as a naturally occurring body of human knowledge. In this paper, we propose a method to automatically identify key entities and relations in Wikipedia articles, which can be used for automatic ontology construction. Compared to previous approaches to entity and relation extraction and/or identification from text, our goal is to capture naturally occurring entities and relations from Wikipedia while minimizing artificiality often introduced at the stages of constructing training and testing data. The titles of the articles and anchored phrases in their text are regarded as entities, and their types are automatically classified with minimal training. We attempt to automatically detect and identify possible relations among the entities based on clustering without training data, as opposed to the relation extraction approach that focuses on improvement of accuracy in selecting one of the several target relations for a given pair of entities. While the relation extraction approach with supervised learning requires a significant amount of annotation efforts for a predefined set of relations, our approach attempts to discover relations as they occur naturally. Unlike other unsupervised relation identification work where evaluation of automatically identified relations is done with the correct relations determined a priori by human judges, we attempted to evaluate appropriateness of the naturally occurring clusters of relations involving person-artifact and person-organization entities and their relation names.

A Study of ICT Fusion Program for Efficient Software Education (효율적인 소프트웨어 교육을 위한 ICT 융합 프로그램 고찰)

  • Nam, Jae-hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.789-791
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    • 2014
  • The software education has many interest in the world because a lot of help to improve logical thinking and problem solving training. However, to implement such a program using languages such as C or Java, you should be aware of the syntax, understanding of computer architecture, and many library. So, it is difficult for many ordinary student to implement program. Therefore, we need easy access to the programming to address the life program by coding for students. In this paper, we introduce such useful software training program or Internet Web site for students.

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Improving Web Service Recommendation using Clustering with K-NN and SVD Algorithms

  • Weerasinghe, Amith M.;Rupasingha, Rupasingha A.H.M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.5
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    • pp.1708-1727
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    • 2021
  • In the advent of the twenty-first century, human beings began to closely interact with technology. Today, technology is developing, and as a result, the world wide web (www) has a very important place on the Internet and the significant task is fulfilled by Web services. A lot of Web services are available on the Internet and, therefore, it is difficult to find matching Web services among the available Web services. The recommendation systems can help in fixing this problem. In this paper, our observation was based on the recommended method such as the collaborative filtering (CF) technique which faces some failure from the data sparsity and the cold-start problems. To overcome these problems, we first applied an ontology-based clustering and then the k-nearest neighbor (KNN) algorithm for each separate cluster group that effectively increased the data density using the past user interests. Then, user ratings were predicted based on the model-based approach, such as singular value decomposition (SVD) and the predictions used for the recommendation. The evaluation results showed that our proposed approach has a less prediction error rate with high accuracy after analyzing the existing recommendation methods.