• Title/Summary/Keyword: Character Quality

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

  • Lee, Hyung-Jun;Chung, Young-Bae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.1
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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.

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

  • Cho, KyeongSook
    • Journal of the Korean Society of Costume
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    • v.66 no.5
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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.

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

  • 김종민
    • Journal of environmental and Sanitary engineering
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    • v.10 no.1
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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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    • 2003.10a
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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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A New Korean characer Dispaly (가변조합방식의 문자 display에 관한 연구)

  • 이주근;이균하
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.11 no.1
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    • pp.23-33
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    • 1974
  • This study has developed a new system of character generator which is able to display more thats 14,364 different Korean characters by the 24 fundamental input elements. That is. in this system, all of the Korean characters are fomalized into 30 kinds of character forms (each having 70-980 characters), from which six form featuares are detacted to control and combine the fundamental input elements at their proper sizes and positions in a character frame. The device is very simple and all of the Korean characters can be displayed on CRT by the operation of only 24 input keys in good character quality.

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

  • chung, Yun-Kyoung
    • (The)Korea Educational Review
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    • v.23 no.4
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    • pp.53-77
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    • 2017
  • This paper suggests that the meaning and the direction of character education should be understood and approached from a point of view which human formation is regarded as the essence of education. The best way of approach to the character education with this point of view could start from the teachers' character, because teachers are key actors for character formation of students. This study therefore places strong emphasis on the importance of teachers' character and suggesting liberal education, as a key solution, its aim is raising and developing the whole human being. The purpose of this study is to explore the possibility of liberal teacher education. With this purpose of study, the author argues the moral dimension of teaching and the importance of the teachers' role as a character builder in ch.II. In ch.III, the present state of teachers' character education is examined and is argued the necessity of liberal perspective for teacher education to stress the character formation of teachers. The liberal teacher education means that the teacher education is integrated into the quality of liberal education which emphasizes the whole human formation, transformation of personality and critical reflection for human formation. The ch. IV contains exploration of the possibility of liberal teacher education by discussing the compatibility between liberal education and vocational education. Furthermore, it covers how teacher education can reflect the quality of liberal education on the aim of teaching, contents and methods of teacher education concretely.

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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    • v.16 no.1
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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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    • v.11 no.2
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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.

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

  • Kim, Kyoung-Ho;Lee, Jeongjin
    • The Journal of the Korea Contents Association
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    • v.13 no.8
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    • pp.52-59
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    • 2013
  • Recently, the importance of the efficient production pipeline design has been increased for 3D animation, which becomes more delicate. In this paper, we propose 3D animation character development pipeline using 3D printing technology. We introduce 3D printing procedure into each step of the classical 3D animation and character development pipeline to incorporate the feed-back from the designer immediately. Specially, during the production step, we can find the design errors and minimize the period of production by using 3D printing of approximate shape of designed character. Using proposed method, eight DreaMegg characters were developed and their quality was very high with respect to 3D virtual graphics and real product. Using our method, high-quality 3D animation character can be developed with the minimized time and cost for development by reflecting the feed-back into production line from designers and researchers immediately.

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

  • Lee, Jeonghwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.4
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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%.