• 한국의류학회지
• /
• 제29권7호
• /
• pp.926-937
• /
• 2005

The analysis category of Art to Wear was text analyzed from the research material of 100 projects put together by fashion specialist. The conclusion of Art to Wear was comprehended the general features of it were compared and analyzed from a semiotics context. According to this analysis, the formative features of modern Art to Wear is categorized into three different dimensions from a semiotics light. The formative features of modem Art to Wear in the light of syntactic dimension was divided as an open constructed shape of Space Extension, non-typical Deformation, Geometrical Plasticity. The formative features of modem Art to Wear in the light of semantic dimension express symbolic meaning through metaphorical sign. These sign reflect the body image of the life and death and its objective of Abjection, Hybrid of discultural appearance and the image of Hyper-reality, which are features used to comprehend the inner meaning. The formative features of modem Art to Wear in the light of pragmatic dimension divided the artist emotion and meaning system delivered by Emotive Image, the Phatic Image that arouse inner signification and the Poetic Image which contain artistic and aesthetic meaning within it.

• 패션비즈니스
• /
• 제7권2호
• /
• pp.26-36
• /
• 2003

The purpose of this study is to examine the concept of modern consumer society and to analyze how the meaning of postmodern-feminism is consumed into what image of preference in fashion. The function of modern society has changed into the system which is centered around consumption from the one that emphasizes labor and production of mass consumption age by mass production. In this consumer society, consumption means just not to waste of production but to consume the commodity sign reflected on the desire of a moderner. In other words, it means what is consumed will be the meaning, preference, symbol, and image mood not goods itself with physical feature. Existing feminism has affected by postmodernism. Due to that, postmodern-feminism has developed, taking to pieces the paternal argument since the late 1960s. It has tried to give up hope this idea, regarding sex distinction as a socially organized category contrary to women's identity of biological aspect suppressed in the paternal system of value. Especially it has demanded only one type on sex should be translated into a distinctive quality, multiple meaning, and sex. Accordingly in modern fashion, this aspect is expressed like the followings : distinction into women's image evaded fixation, multiple meaning into image of androgyny, multiple sex into that of mixture. And this is used as the image of symbolic goods, also the purpose of brand difference.

• 한국정보통신학회논문지
• /
• 제6권8호
• /
• pp.1169-1174
• /
• 2002

본 논문은 FM 부가방송을 수신하여 다양한 정보와 사용자 문구 및 이미지를 전광판에 표시하는 시스템을 구현하였다. 기존의 전광판 시스템이 단순 광고만 반복하거나 유용한 정보를 값비싼 휴대폰 망을 통해 수신하였지만 FM 부가방송을 수신하여 저렴하게 정보를 사용할 수 있다. 본 시스템을 구현하기 위해 메인 프로세서와 프로그램 메모리, 사용자 메시지와 DARC 관련 정보 및 사용자 메시지의 출력 순서를 결정하는 편성 내용을 저장할 외장형 메모리, DARC 정보를 수신하기 위한 DARC 모듈 그리고 출력 장치인 LED 모듈로 구성이 되어있다. 구현된 시스템은 실험에 의해 사용자 메시지와 DARC 관련 정보를 편성 내용에 근거하여 출력함을 확인하였으며 이를 통해 값싸게 정보를 수신하여 표시하는 전광판 시스템의 구현이 가능함을 보였다.

• 대한전자공학회논문지
• /
• 제27권9호
• /
• pp.1448-1455
• /
• 1990

In this paper, a range image segmentation method is proposed. This method consists of an initial segmentation stage by discontinuous edge detection and surface type labeling based on the sign of the principal curvatures. Initially type labeled image is oversegmented, this image is merged via stepwise optimal region merging stage based on polynomial function approxiamtion. The successful segmentation results are presented for two synthetic range images with noise and a real-world ERIM range image.

• International Journal of Computer Science & Network Security
• /
• 제24권8호
• /
• pp.14-20
• /
• 2024

Traffic sign recognition is an essential feature of intelligent transportation systems and Advanced Driver Assistance Systems (ADAS), which are necessary for improving road safety and advancing the development of autonomous cars. This research investigates the incorporation of the YOLOv9 model into traffic sign recognition systems, utilizing its sophisticated functionalities such as Programmable Gradient Information (PGI) and Generalized Efficient Layer Aggregation Network (GELAN) to tackle enduring difficulties in object detection. We employed a publically accessible dataset obtained from Roboflow, which consisted of 3130 images classified into five distinct categories: speed_40, speed_60, stop, green, and red. The dataset was separated into training (68%), validation (21%), and testing (12%) subsets in a methodical manner to ensure a thorough examination. Our comprehensive trials have shown that YOLOv9 obtains a mean Average Precision (mAP@0.5) of 0.959, suggesting exceptional precision and recall for the majority of traffic sign classes. However, there is still potential for improvement specifically in the red traffic sign class. An analysis was conducted on the distribution of instances among different traffic sign categories and the differences in size within the dataset. This analysis aimed to guarantee that the model would perform well in real-world circumstances. The findings validate that YOLOv9 substantially improves the precision and dependability of traffic sign identification, establishing it as a dependable option for implementation in intelligent transportation systems and ADAS. The incorporation of YOLOv9 in real-world traffic sign recognition and classification tasks demonstrates its promise in making roadways safer and more efficient.

• International Journal of Costume and Fashion
• /
• 제8권2호
• /
• pp.50-64
• /
• 2008

The purpose of this study is to classify Avatar fashion style through analysis of on-line Avatar Mall and to propose color pallette and fashion contents from fashion color analysis. The literature research focused on investigating the notion, characters and types of Avatar and relation of Avatar and self-image, clothing image and color image. In data research, 4 on-line portal sites Avatar Malls were analyzed and Avatar fashion style was classified. In addition, Avatar clothing color was analyzed. The research of this study are as follows: Firstly, Avatar in the cyber space represents 'me' of the real states. Avatar fashion helps to represent Avatar Image and clothing makes human image and identity as a social sign. Color helps to constitute clothing impression and human image, therefore clothing and color are the important elements to express self-image through Avatar in the cyber space. Secondly, Avatar Malls of 4 on-line portal sites are very similar and confuse Avatar users because of no standard of fashion style classification. Accordingly, the standard of fashion style classification should be made by a fashion expert, and the specific characters of every on-line portal site should be emphasized. Thirdly, as a result of the analysis of Avatar's clothing, the clothing is divided into a real world clothing and an imaginary world clothing. There are daily clothes, uniform, event clothes, story clothes and fantasy clothes. As a result of the color analysis of Avatar clothing, White, Red, Red Purple colors and bright and vivid tone are generally used for Avatar clothing. This study is significant to classify Avatar fashion style systematically, to notify sensitive and delicate users' sign and to make Avatar fashion image emotional and high-quality.

• 한국멀티미디어학회논문지
• /
• 제19권2호
• /
• pp.112-121
• /
• 2016

ADAS(Advanced Driver Assistance Systems) and street furniture information collecting car like as MMS(Mobile Mapping System), they require object location estimation method for recognizing spatial information of object in road images. But, the case of conventional methods, these methods require additional hardware module for gathering spatial information of object and have high computational complexity. In this paper, for a coordinate of road sign in single camera image, a position estimation scheme of object in road images is proposed using the relationship between the pixel and object size in real world. In this scheme, coordinate value and direction are used to get coordinate value of a road sign in images after estimating the equation related on pixel and real size of road sign. By experiments with test video set, it is confirmed that proposed method has high accuracy for mapping estimated object coordinate into commercial map. Therefore, proposed method can be used for MMS in commercial region.

• 대한공간정보학회지
• /
• 제20권2호
• /
• pp.31-37
• /
• 2012

도로의 확장 및 신규 도로의 설치로 인하여 도로교통시설물의 변경 및 신규설치는 매년 꾸준히 증가하고 있다. 또한, 자동차 및 운전자의 증가와 함께 교통안전을 위한 도로 및 교통안전표지는 지속적인 증설과 관리가 요구된다. 도로 시설물 중 교통안전표지판을 신속하게 갱신하기 위하여 본 연구에서는 교통안전표지판에 대하여 자동인식기능을 개발하고 위치정확도를 분석하여 수치지형도의 도로시설물 효율적 갱신방안 제시를 목적으로 하였다. 이를 위하여 좌표측정을 위한 전방위 카메라 표정요소 산출, GPS/IMU/DMI 통합시스템 구축 및 영상처리기법을 적용하여 수치지형도의 도로시설물 DB의 효율적 갱신방법을 제시하였다.

• 한국정보통신학회논문지
• /
• 제13권3호
• /
• pp.546-555
• /
• 2009

HL7은 병원정보 시스템에서 사용되는 정보와 관련된 표준화된 프로토콜이다. 생체 정보 웹 뷰어 시스템 또한 의료 영상 및 전송에 대해 표준화된 프로토콜이다. 본 논문에서는 ICU(Intensive Care Unit)에 설치된 Central Monitor에서 확인할 수 있는 환자의 생체 정보들을 웹상에서 실시간 확인할 수 있는 시스템 구성을 제안하기 위하여 생체정보 수신 모듈과 웹 뷰어 시스템을 구성하였다. 생체정보 수신 모듈은 Central Monitor로부터 수신할 수 있는 Raw Data 형태의 환자의 생체 정보를 생체 정보 웹 뷰어 시스템에서 사용가능 한 데이터로 분석할 수 있도록 설계가 이루어져 있다. 웹 뷰어 시스템은 환자 생체 정보에 대한 실시간성과 생체 정보에 대한 데이터의 연속성을 부여하여 베드 사이트의 환자에게서 발생된 모든 생체정보에 의해 환자 관리를 데이터 베이스를 이용하여 전산화함으로써 환자의 광범위한 자료 검색이 이루어지므로 획기적인 원격 진료로 활용이 가능하다. 또한 적절한 생체 정보데이터의 교환과 정보 관리의 수정을 통해 병원정보 시스템은 모든 병원 관계자의 보다나은 업무처리를 향상시킬 수 있다.

• 정보처리학회논문지B
• /
• 제16B권4호
• /
• pp.257-262
• /
• 2009

본 논문에서는 실제 도로환경의 속도 표지판 영역 추출 및 인식 방법을 제안한다. 화소의 색상정보를 이용하여 속도 표지판 영역을 추출하고 추출된 속도 표지판 영역 안에서 숫자 영역만 다시 추출한다. 표지판의 경사여부를 판단하여 시계방향, 반시계방향으로 각각 표지판을 회전시켜 기울기를 보정한 후 인식을 행함으로써 인식률을 제고한다. 도로환경의 동영상을 대상으로 인식을 행한 결과 일반적인 속도표지판 뿐 아니라 기울어진 환경에서도 매우 강건한 인식 결과를 보인다.