• 제목/요약/키워드: Character Quality

검색결과 540건 처리시간 0.029초

Kano 모델 기반의 잠재적 고객 요구 개선 지수의 개발 : 교육서비스 분야를 중심으로 (Development of Potential Customer Demand Improvement Index Based on Kano Model : Focused on Educational Service)

  • 이형준;정영배
    • 산업경영시스템학회지
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    • 제41권1호
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    • pp.118-127
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    • 2018
  • Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid measuring methods for service quality are necessary. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. Kano classified the degree of influence that is the degree of correspondence of the quality attributes of products and services to the subjective satisfaction of customers. As a result, the types of qualities are classified as attractive, must be, one dimensional, and indifference attributes. They have been widely used quality attributes in various industrial fields up to now. However, Kano model has a limit that it ignores the characters of the next frequent numbers even though there are not much gap comparing to the most frequent number in the questionnaire answers. The limit is attributed to the character of Kano model that the most frequent number is accepted as the only quality character. Timko calculated the customer satisfaction coefficient by using Kano's method and studied the differences in quality character by classifying the quality characteristics in a graphical way through the relationship between the satisfaction and the dissatisfaction coefficient. In this study, we used the quality level determination method of the 7-point Likert scale, which takes the weight into account, to complement the deficiencies of the existing Kano model. We also developed and applied a Potential Satisfaction Level (P) and Potential Customer Demand Improvement (PCDI) Index to present a new approach to the determination of service quality attributes. To measure the level of potential service satisfaction and to understand the degree of improvement, we collected specimens of 51 participants who has been trained in the National Strategy Business Training Program, which has been managed by government agent, and analyzed the results.

캐릭터 도안(圖案)의 창작성 판단 기준 - 저작권침해소송 판례를 중심으로 - (Judiciary Elements of Originality in 2D Character Design - Focused on the Precedents of Copyright Infringement -)

  • 조경숙
    • 복식
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    • 제66권5호
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    • pp.33-48
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    • 2016
  • Upon the needs to draw the judicial elements of creativity in the copyrighted character designs, this paper aims to draw and categorize the elements based on the analysis of preceding court decisions. The results are as follows: the form of body, the features in its face and its composition, the overall image, the degree of personification, and aesthetic sensation. These elements reflect formative skills required to portray the intrinsic quality of a character. This paper is of significant interest in that it suggested the legal basis and elements of creativity in character design to professionals in both areas of design and judicial decisions.

팔당호 유량변동에 따른 수질특성에 관한 연구 (A study on the Character of Water Quality according to the Flux in Pal-Dang Reservoir)

  • 김종민
    • 환경위생공학
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    • 제10권1호
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    • pp.12-24
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    • 1995
  • I tried to evaluate the reason of the monthly variation of water quality according to the hydrologic character of Pal- dang reservoir inflow variation. The result of this study is as below; 1 ) COD, BOD, Total- nitrogen and Total- phosphate concentration increase generally according to the flux and Total- phosphate concentration is the most affected item by flux. 2) COD, BOD, Total- nitrogen and Total- phosphate concentration increase according the flux, but they begin to decrease at the below point ; COD · 1,154 CMS, BOD : 1,007 (CMS cubicmeter per second ) and Inflow- Concentration interrelation formula is as below; table omitted.

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Segmentation Algorithm for Wafer ID using Active Multiple Templates Model

  • Ahn, In-Mo;Kang, Dong-Joong;Chung, Yoon-Tack
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.839-844
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    • 2003
  • This paper presents a method to segment wafer ID marks on poor quality images under uncontrolled lighting conditions of the semiconductor process. The active multiple templates matching method is suggested to search ID areas on wafers and segment them into meaningful regions and it would have been impossible to recognize characters using general OCR algorithms. This active template model is designed by applying a snake model that is used for active contour tracking. Active multiple template model searches character areas and segments them into single characters optimally, tracking each character that can vary in a flexible manner according to string configurations. Applying active multiple templates, the optimization of the snake energy is done using Greedy algorithm, to maximize its efficiency by automatically controlling each template gap. These vary according to the configuration of character string. Experimental results using wafer images from real FA environment are presented.

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가변조합방식의 문자 display에 관한 연구 (A New Korean characer Dispaly)

  • 이주근;이균하
    • 대한전자공학회논문지
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    • 제11권1호
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    • pp.23-33
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    • 1974
  • 이 논문은 종래의 자자 Display에서 문자의 종류가 많으면, 입력부분이 방대해지고, character generator가 극히 복잡해지는 두가지 문제점을 동시에 해결을 주는 새로운 방식을 제안하였다. 이 방식은 동일한 기량요소가 조합되는 이자에 따라 크기와 위치문희이 자동적으로 가변되어 조합되어 나오는 것으로서, 입력기본요소의 특징 code의 추출로써 조합되는 문우의 form을 예측하고, 그들 form 특징으로써, 기본요소를 control한다. 그 결과, 24기본요소로서 14,364우가 발생되며, 장치가 극히 간단하고, 조합문자의 품질이 양호하다. 이 장처는 종래의 방법으로 했을때와 비교하면 장치가 약 500분 지 1로 적어진다.

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교사의 인성과 교양적 교사교육 (The character of teachers'and liberal teacher education)

  • 정윤경
    • 한국교육학연구
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    • 제23권4호
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    • pp.53-77
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    • 2017
  • 인성교육의 의미와 방향은 인간됨의 형성이라는 교육의 본질적 차원에서 이해하고 접근할 수 있어야 할 것이다. 이러한 의미의 인성교육을 위한 최선의 방책은 가르치는 교사의 인간형성에서 시작할 수 있다고 생각한다. 왜냐하면 교사는 학생들의 인성형성에 핵심 역할을 하기 때문이다. 따라서 본 연구는 인성교육자로서 교사 인성의 중요성과 교사교육에 인간다운 인간형성을 목적으로 하는 교양교육이 요청됨을 논의하고, 교양적 교사교육의 가능성을 탐색하고자 한다. 이상의 연구 목적을 위해 II장에서는 가르침의 도덕적 차원과 인성교육자로서 교사 역할의 중요성을 논의한다. III장에서는 교사의 인성교육 현황을 살펴보고, 교사의 인성형성을 강조하기 위해 교양적 교사교육이 요청됨을 논의할 것이다. 교양적 교사교육이란 인간다운 인간형성을 위해 전인성, 전환성, 비판적 성찰을 강조하는 교양교육의 특성을 접목한 교사교육을 뜻한다. IV장에서는 교양적 교사교육의 가능성을 탐색할 것이다. 구체적으로 교사교육에서 직업교육적 측면과 교양교육적 측면의 양립가능성을 논의하고, 실제 교사교육에서 교양교육의 특성을 반영할 수 있는 방안을 교육목적, 교육내용, 교수방법 면에서 탐색할 것이다.

Low-Quality Banknote Serial Number Recognition Based on Deep Neural Network

  • Jang, Unsoo;Suh, Kun Ha;Lee, Eui Chul
    • Journal of Information Processing Systems
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    • 제16권1호
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    • pp.224-237
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    • 2020
  • Recognition of banknote serial number is one of the important functions for intelligent banknote counter implementation and can be used for various purposes. However, the previous character recognition method is limited to use due to the font type of the banknote serial number, the variation problem by the solid status, and the recognition speed issue. In this paper, we propose an aspect ratio based character region segmentation and a convolutional neural network (CNN) based banknote serial number recognition method. In order to detect the character region, the character area is determined based on the aspect ratio of each character in the serial number candidate area after the banknote area detection and de-skewing process is performed. Then, we designed and compared four types of CNN models and determined the best model for serial number recognition. Experimental results showed that the recognition accuracy of each character was 99.85%. In addition, it was confirmed that the recognition performance is improved as a result of performing data augmentation. The banknote used in the experiment is Indian rupee, which is badly soiled and the font of characters is unusual, therefore it can be regarded to have good performance. Recognition speed was also enough to run in real time on a device that counts 800 banknotes per minute.

A Study on Character Design Using [Midjourney] Application

  • Chen Xi;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • 제11권2호
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    • pp.409-414
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    • 2023
  • In recent years, the emergence of a number of AI image generation software represented by [Midjourney] has brought great impetus to the development of the field of AI-assisted art creation. Compared with the traditional hand-painted digital painting with the aid of electronic equipment, broke the traditional sense of animation character creation logic.This paper analyzes the application of AI technology in the field of animation character design through the practice of two-dimensional animation character . This is having a significant impact on the productivity and innovation of animation design and character modeling. The key results of the analysis indicate that AI technology, particularly through the utilization of "Midjourney,"enables the automation of certain design tasks, provides innovative approaches, and generates visually appealing and realistic characters. In conclusion, the integration of AI technology, specifically the application of "Midjourney," brings a new dimension to animation character design. The utilization of AI image generation software facilitates streamlined workflows, sparks creativity, and improves the overall quality of animated characters. As the animation industry continues to evolve, AI-assisted tools like "Midjourney" hold great potential for further advancement and innovation.

3차원 프린팅을 활용한 3차원 애니메이션 캐릭터 개발 파이프라인 (3D Animation Character Development Pipeline using 3D Printing)

  • 김경호;이정진
    • 한국콘텐츠학회논문지
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    • 제13권8호
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    • pp.52-59
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    • 2013
  • 최근 더욱 정교해지고 분업화되어 가는 3차원 애니메이션 작품들을 위하여 효율적인 제작 파이프라인의 구축이 중요해지고 있다. 본 논문에서는 3차원 프린팅을 활용한 3차원 애니메이션 캐릭터 개발 파이프라인을 제안한다. 기존의 3차원 애니메이션 및 캐릭터 제작 파이프라인의 세부 단계에서 기획자들의 피드백을 즉각적으로 반영할 수 있는 3차원 프린팅 과정을 도입한다. 특히 프로덕션 단계에서는 캐릭터 디자인의 대략적인 형상을 시험적으로 3차원 프린팅하여 디자인의 오류를 찾아내고, 제작 주기를 단축한다. 이러한 과정으로 제작된 콘텐츠인 8개의 드리메그 캐릭터는 그래픽과 실물 양 측면에서 높은 완성도를 가질 수 있었다. 본 논문에서 제안한 3차원 프린팅 기술을 활용하면, 3차원 캐릭터 개발의 기간 및 비용을 단축하고, 디자이너와 연구자들의 피드백을 제작 라인에 신속하게 반영함으로써 높은 완성도와 시장성을 고루 갖춘 3차원 애니메이션 캐릭터를 개발할 수 있다.

YOLOv4 알고리즘을 이용한 저품질 자동차 번호판 영상의 숫자 및 문자영역 검출 (Detecting Numeric and Character Areas of Low-quality License Plate Images using YOLOv4 Algorithm)

  • 이정환
    • 디지털산업정보학회논문지
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    • 제18권4호
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    • pp.1-11
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    • 2022
  • Recently, research on license plate recognition, which is a core technology of an intelligent transportation system(ITS), is being actively conducted. In this paper, we propose a method to extract numbers and characters from low-quality license plate images by applying the YOLOv4 algorithm. YOLOv4 is a one-stage object detection method using convolution neural network including BACKBONE, NECK, and HEAD parts. It is a method of detecting objects in real time rather than the previous two-stage object detection method such as the faster R-CNN. In this paper, we studied a method to directly extract number and character regions from low-quality license plate images without additional edge detection and image segmentation processes. In order to evaluate the performance of the proposed method we experimented with 500 license plate images. In this experiment, 350 images were used for training and the remaining 150 images were used for the testing process. Computer simulations show that the mean average precision of detecting number and character regions on vehicle license plates was about 93.8%.