• Title/Summary/Keyword: Applied Art

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A Study on Design and Implementation of Speech Recognition System Using ART2 Algorithm

  • Kim, Joeng Hoon;Kim, Dong Han;Jang, Won Il;Lee, Sang Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.2
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    • pp.149-154
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    • 2004
  • In this research, we selected the speech recognition to implement the electric wheelchair system as a method to control it by only using the speech and used DTW (Dynamic Time Warping), which is speaker-dependent and has a relatively high recognition rate among the speech recognitions. However, it has to have small memory and fast process speed performance under consideration of real-time. Thus, we introduced VQ (Vector Quantization) which is widely used as a compression algorithm of speaker-independent recognition, to secure fast recognition and small memory. However, we found that the recognition rate decreased after using VQ. To improve the recognition rate, we applied ART2 (Adaptive Reason Theory 2) algorithm as a post-process algorithm to obtain about 5% recognition rate improvement. To utilize ART2, we have to apply an error range. In case that the subtraction of the first distance from the second distance for each distance obtained to apply DTW is 20 or more, the error range is applied. Likewise, ART2 was applied and we could obtain fast process and high recognition rate. Moreover, since this system is a moving object, the system should be implemented as an embedded one. Thus, we selected TMS320C32 chip, which can process significantly many calculations relatively fast, to implement the embedded system. Considering that the memory is speech, we used 128kbyte-RAM and 64kbyte ROM to save large amount of data. In case of speech input, we used 16-bit stereo audio codec, securing relatively accurate data through high resolution capacity.

A Study on Formative Characteristics of Hair Art Using the Copper Wire (동선을 이용한 헤어아트 조형성 연구)

  • Ann, Mun-Kyung;Kim, Soung-Nam
    • Journal of the Korean Society of Fashion and Beauty
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    • v.4 no.4 s.10
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    • pp.63-74
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    • 2006
  • The purpose of the study was to investigate unique field of formative characteristics using copper wire, the present thesis aims at developing concept of hair art as a creative way, and recognizing the formative characteristics of copper wire as analyze and arrange the concept of hair art, formative, a way of practical application, material aspect, through literature, academic journals, photo data, and researched about prior piece, for example, architecture and costume with hair art, and then pieces of hair art were made. Influenced by the theory, applied the social phenomenon and the formative principles, produced the seven pieces which includes flying, composure, yahoo, harmony, balance, way, spring etc. The results of this research are outlined below. Firstly, It showed that the copper wire can express the mysterious and beautiful formative world, and it could know the possibility of design. Secondly, formative activity using copper wire can differ according to approach and interpretation, and it can be a works with aesthetic value. Thirdly, hair could be express the art of the three-dimensional forms which constitute the mixture of line, surface and space. Fourthly, the handicraft including beading, pleat, piping, rolling that used for works are proper to express the unique formative and the rich colors, and it can also express the transparency. So it showed that copper wire is a proper materials. So, hair art has enlarged the fields with development of technique, and changed to recognition of the hair art, and opened up a new field. Hair art will be positive fields to maximize the possibility, and not only the beauty artist but also the public will be communicate each other.

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A Study on Art Nouveau Pattern in Modern Hair Style (현대 헤어스타에 나타난 아르누보 양식 연구)

  • Kim, Ju-Seub;Paik, Sun-Young;Lee, Jong-Min
    • Journal of the Korean Society of Fashion and Beauty
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    • v.6 no.2
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    • pp.80-86
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    • 2008
  • This study is to understand how fluidity and natural features of Art Nouveau style are reflected in hair style of Art Nouveau age and Modem age and be a help to the trend analysis of hair style in the future. The study is conducted with the research on Art Nouveau expression in hair style and analysis of hair-show, trend presentation, documents related with hair style, TV drama, theses, journals and internet etc through advance research for Art Nouveau and Hair. The result of the analysis on Art Nouveau pattern in hair design is presented as below. First, it shows rounded, winding, flowing and thick-waved style of Art Nouveau pattern in modem long and short hair style. It also shows the beauty of long, bending and flexible lines, waving liveness and thin and slim lines and this is the Art Nouveau pattern that is also applied to other fields. In terms of decoration, it does not use tree vines, leaves and petals that are expressed in paintings of Art Nouveau age. Second, it shows natural up-style by lifting hair up with waved long hair that is one pattern of Art Nouveau and expresses hair style with feathers of birds, tree vines, leaves and petals etc for more decoration in animal pattern to make cute, romantic and elegant style in hair style.

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A Study on the Expressive Characteristics of Conceptual Art in Fashion Design - With a focus on the works of Hussein Chalayan and Martin Margiela - (패션디자인에 나타난 개념미술의 표현적 특성 - 후세인 샬라얀(Hussein Chalayan)과 마틴 마르지엘라(Martin Margiela)의 작품을 중심으로 -)

  • Kim, Rooun;NamKoong, Yoonsun;Hwang, Sun Jin
    • Journal of the Korean Society of Costume
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    • v.63 no.2
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    • pp.55-67
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    • 2013
  • The root of cultural and artistic diversity of modern society goes hand in hand with the appearance of new art concepts that started during the social and cultural turmoil. These concepts crossed the boundaries of traditional and universal aesthetic concepts and value criteria. Since there is a close relationship between the fashion industry and the cultural flow of its times, the purpose of this study is to investigate the influences and applications of conceptual art, which became one of the big frameworks of contemporary art on fashion. The study thus sets out to develop and analyze the collections of Hussein Chalayan and Martin Margiela, who were fashion designers that pursued conceptual and ideal values, from the perspective of conceptual art. The goal was to examine the conceptual thoughts they sought after, and to understand their expressive determinations that they pursued conceptually as well as the superficial formativeness of their works. The characteristics according to the expressive methods and conceptual intentions of conceptual art that specified concepts and ideas were as follows: readymade symbolized objects, expanded intervention, data form from process of changing and implementation, and language as visual metaphors. Then those characteristics of conceptual art were used in this study to analyze the collections of Chalayan and Margiela. As a result, both designers applied and mixed many characteristics of the expressive methods of conceptual art. In modern society, art and fashion share a cultural identity and it can be said that it is an accurate reflection of the time. They are not separate genres. Just like the unique flow of modern society that creates new concepts through mixture and infusion of different disciplines, fashion is included in the domain of art. In addition, understanding and studying other disciplines can make a huge contribution to the growth and development of fashion.

An Enhanced Fuzzy ART Algorithm for The Effective Identifier Recognition From Shipping Container Image (효과적인 운송 컨테이너 영상의 식별자 인식을 위한 개선된 퍼지 ART 알고리즘)

  • 김광백
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.5C
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    • pp.486-492
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    • 2003
  • The vigilance threshold of conventional fuzzy ART algorithm decide whether to permit the mismatch between any input pattern and stored pattern. If the vigilance threshold was large, despite of little difference among input and stored patterns, the input pattern may be classified to new category. On the other hand, if the vigilance threshold was small, the similarity between two patterns may be accepted in spite of lots of difference and the input pattern are classified to category of the stored pattern. Therefore, the vigilance threshold for the image recognition must be experientially set for the good result. Moreover, it may occur in the fuzzy ART algorithm that the information of stored patterns is lost in the weight-adjusting process and the rate of pattern recognition is dropped. In this paper, I proposed the enhanced fuzzy ART algorithm that supports the dynamical setting of the vigilance threshold using the generalized intersection operator of fuzzy logic and the weight value being adaptively set in proportional to the current weight change and the previous weight by reflecting the frequency of the selection of winner node. For the performance evaluation of the proposed method, we applied to the recognition of container identifiers from shipping container images. The experiment showed that the proposed method produced fewer clusters than conventional ART2 and fuzzy ART algorithm. and had tile higher recognition rate.

Analysis of Online Art Platform Cases: Analysis of Business Model (온라인 예술 플랫폼 기업 사례: 비즈니스 모델 분석)

  • Jonghyok, Cho;Tae Jun, Bae
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.6
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    • pp.175-193
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    • 2022
  • Although there is paradigm shift in art industry and interdisciplinary convergence between art and entrepreneurship, little has been done in "art entrepreneurship." First, this study organized the concepts of art entrepreneurship and conducted literature reviews on the trends of international and domestic research. Second, this paper aimed to understand the concept of art platform business. To do so, authors reviewed the general concept of business model and special features of platform business. Third, this paper categorized and introduced 11 art platform businesses from the based on the purposes of companies (① rental & selling, ②commercialize & selling, ③crowdfunding, ④information sharing & digital exhibition). Forth, this study provided two frameworks (①business model components, ②platform controllability and customers' information asymmetry) and applied them into 11 cases. By systematically reviewing the previous studies, this paper expects to increase scholarly understanding of the field of art entrepreneurship where two different areas (art and entrepreneurship) have studied separately. In addition, introduction and analyses of 11 online art platform have practical implications.

Integrated Art Appreciation: Effects on Young Children's Drawing Expression (통합적 미술감상활동이 유아의 그림표현능력에 미치는 영향)

  • Moon, Ehun-Shik;Hong, Mee-Shook
    • Korean Journal of Child Studies
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    • v.26 no.5
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    • pp.233-244
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    • 2005
  • This study examined the effect of visual art appreciation integrated with expression(integrated art appreciation) upon young children's drawing expression. The pretest-posttest control group design was chosen for the study. Twenty kindergarten children assigned to the experimental group were exposed to a program of integrated appreciation activity for 10 sessions. Another group of 20 kindergarten children were assigned to the control group taught by the traditional art teaching methods. Analysis of Covariance was applied for data analysis. Children in the experimental group showed higher scores in such drawing expressions as line, color, shape, composition, and theme.

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2.5D Quick Turnaround Engraving System through Recognition of Boundary Curves in 2D Images (2D 이미지의 윤곽선 인식을 통한 2.5D 급속 정밀부조시스템)

  • Shin, Dong-Soo;Chung, Sung-Chong
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.20 no.4
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    • pp.369-375
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    • 2011
  • Design is important in the IT, digital appliance, and auto industries. Aesthetic and art images are being applied for better quality of the products. Most image patterns are complex and much lead-time is required to implement them to the product design process. A precise reverse engineering method generating 2.5D engraving models from 2D artistic images is proposed through the image processing, NURBS interpolation and 2.5D reconstruction methods. To generate 2.5D TechArt models from the art images, boundary points of the images are extracted by using the adaptive median filter and the novel MBF (modified boundary follower) algorithm. Accurate NURBS interpolation of the points generates TechArt CAD models. Performance of the developed system has been confirmed through the quick turnaround 2.5D engraving simulation linked with the commercial CAD/CAM system.

Recognition of Passports using CDM Masking and ART2-based Hybrid Network

  • Kim, Kwang-Baek;Cho, Jae-Hyun;Woo, Young-Woon
    • Journal of information and communication convergence engineering
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    • v.6 no.2
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    • pp.213-217
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    • 2008
  • This paper proposes a novel method for the recognition of passports based on the CDM(Conditional Dilation Morphology) masking and the ART2-based RBF neural networks. For the extraction of individual codes for recognizing, this paper targets code sequence blocks including individual codes by applying Sobel masking, horizontal smearing and a contour tracking algorithm on the passport image. Individual codes are recovered and extracted from the binarized areas by applying CDM masking and vertical smearing. This paper also proposes an ART2-based hybrid network that adapts the ART2 network for the middle layer. This network is applied to the recognition of individual codes. The experiment results showed that the proposed method has superior in performance in the recognition of passport.

ART1 Neural Network for the Detection of Tool Breakage (공구파단 검출을 위한 ART2 신경회로망)

  • 고태조;김희술;조동우
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.04b
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    • pp.451-456
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    • 1995
  • This study investigates the feasibility of the real time detection of tool breadage in face milling operation. The proposed methodology using an ART2 neural network overcomes a cumbersome task in terms of the learning or determining a threshold value. The features taken in the researchare the AR parameters modelled from a RLS, and those are proven to be good features for tool breakage from experiments. From the results of the off line application, we can conclude that an ART2 neural network can be well applied to the clustering of tool states in real time regardless of the unsupervised learning.

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