• Title/Summary/Keyword: recognition-rate

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Polymorphous low-grade adenocarcinoma on hard palate: case report (구개부에 발생한 다형성 저등급 선암종의 치험례)

  • Shin, Young-Min;Choi, So-Young;Kim, Jin-Wook;Byeon, Ki-Jung;Kim, Chin-Soo
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.37 no.1
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    • pp.72-76
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    • 2011
  • Polymorphous low-grade adenocarcinomas (PLGA) are distinctive salivary gland neoplasms with a propensity to arise from the minor salivary glands. The most frequent location of PLGA is the palate, even though other locations have been described. Previously used terms for PLGA include lobular carcinoma and terminal duct carcinoma. Although the frequency of the tumor is unknown, the recognition of PLGA as an individual tumor has increased with the establishment of specific histopathological criteria characterizing the PLGA. The first choice of treatment is a wide surgical excision including the subjacent bone if necessary. The prognosis is generally good and the recurrence rate ranges from 17% and 22%. Distant metastases is unusual (9%) but occur mainly in the regional lymph nodes. This is a case report of a 67 year old female patient with PLGA who was treated with a wide excision by layers (2 stage) of the lesion including the surrounding bone. We present this case with a review of the relevant literature.

A Study on Success Factors of Apparel Brand (의류 브랜드의 성공 요인에 관한 연구)

  • Ko, Eun-Ju;Shin, Min-Wook;Kim, Seon-Sook
    • Korean Journal of Human Ecology
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    • v.18 no.4
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    • pp.945-958
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    • 2009
  • This study is to examine the factors affecting success of business withhigh accomplishments in customer recognition and financial aspect in the fashion industry. In addition, through survey on consumers and interviews on industry officials who concerned fashion brand, perceived success factors were compared between consumer and industry groups. This study selected a total of 20 brands, which were 5 brands per 4 categories(e.g., women, men, sports and casual wear), with high customer satisfaction and customer loyalty in consumer's perspective and high revenues, revenue growth, and profit rate in 2004 in a financial perspective. The survey on consumer group and interviews on officials in industry were conducted simultaneously. One thousand respondents were obtained from survey on consumers and 40 respondents were obtained from interviews on industry officials. Multiple regression analysis and t-test were used for data analysis via the SPSS 12.0 program. The result of this study was as following. From a consumer perspective, respondents recognized that both consumer satisfaction and brand revenues were positively related to brand factors of consumer, product and marketing. From an industry's perspective, consumer, product and marketing factors affected consumer satisfaction as a brand success factor. In comparison of perception difference in brand success factors between consumer and industry groups, industry group was more likely to concern about the importance of brand success than consumers. In addition, the consumer group perceived the most highly consumer factor as a brand success factor, followed by product and marketing and external environment factors, while industry group did in order of consumer, marketing, product, and external environment factors, which indicated significant difference in perceptions of the two groups. Through this study on consumer satisfaction to improve positive and amicable buying behavior and comparative analysis on difference of perception of consumers and industry on factorsfor financial ability and revenue increase, the foundation for strategy establishment of brand distinction in fashion industry can be provided.

Character Extraction of Car License Plates using RGB Color Information and Fuzzy Binarization (RGB 컬러 정보와 퍼지 이진화를 이용한 차량 번호판의 개별 문자 추출)

  • 김광백;김문환;노영욱
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.1
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    • pp.80-87
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    • 2004
  • In this paper we proposed the novel feature extraction method that is able to extract the individual characters from the license plate area of the car image more precisely by using the RGB color information and the fuzzy binarization newly proposed. The proposed method, first, extracts from the original image the areas that the pixels with the colors around the green are concentrated on as the candidate areas of the license plate, and selects the area with the most intensive distribution of pixels with the white color among the candidate areas as the license plate area. Second the noises of the license plate area should be removed by using 34{\times}$3 Sobel masking, and the fuzzy binarization method are proposed and applied to the license plate area to generate the binarized image of the license plate area. Lastly, the application of the contour tracking algorithm to the binarized area extracts the individual characters from the license plate area. The experiment on a variety of the real car images showed that the proposed method generates the higher rate of success for character extraction than the previous methods.

Finger Counting Algorithm in the Hand with Stuck Fingers (붙어 있는 손가락을 가진 손에서 손가락 개수 알고리즘)

  • Oh, Jeong-su
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.10
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    • pp.1892-1897
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    • 2017
  • This paper proposes a finger counting algorithm for a hand with stuck fingers. The proposed algorithm is based on the fact that straight line type shadows are inevitably generated between fingers. It divides the hand region into the thumb region and the four fingers region for effective shadow detection, and generates an edge image in each region. Projection curves are generated by appling a line detection and a projection technique to each edge image, and the peaks of the curves are detected as candidates for finger shadows. And then peaks due to finger shadows are extracted from them and counted. In the finger counting experiment on hand images expressing various shapes with stuck fingers, the counting success rate is from 83.3% to 100% according to the number of fingers, and 93.1% on the whole. It also shows that if hand images are generated under controlled conditions, the failure cases can be sufficiently improved.

A Study on Fingerprinting Robustness Indicators for Immersive 360-degree Video (실감형 360도 영상 특징점 기술 강인성 지표에 관한 연구)

  • Kim, Youngmo;Park, Byeongchan;Jang, Seyoung;Yoo, Injae;Lee, Jaechung;Kim, Seok-Yoon
    • Journal of IKEEE
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    • v.24 no.3
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    • pp.743-753
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    • 2020
  • In this paper, we propose a set of robustness indicators for immersive 360-degree video. With the full-fledged service of mobile carriers' 5G networks, it is possible to use large-capacity, immersive 360-degree videos at high speed anytime, anywhere. Since it can be illegally distributed in web-hard and torrents through DRM dismantling and various video modifications, however, evaluation indicators that can objectively evaluate the filtering performance for copyright protection are required. In this paper, a robustness indicators is proposed that applies the existing 2D Video robustness indicators and considers the projection method and reproduction method, which are the characteristics of Immersive 360-degree Video. The performance evaluation experiment has been carried out for a sample filtering system and it is verified that an excellent recognition rate of 95% or more has been achieved in about 3 second execution time.

Automatic Classification Technique of Offence Pattern in Soccer Game using Neural Networks (뉴럴네트워크를 이용한 축구경기에 있어서의 공격패턴 자동분류 기법)

  • Kim, Hyun-Sook;Kim, Kwang-Yong;Nam, Sung-Hyun;Hwang, Chong-Sun;Yang, Young-Kyu
    • Journal of KIISE:Software and Applications
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    • v.27 no.7
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    • pp.712-722
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    • 2000
  • In this paper, we suggest and test a classification technique of offence pattern from group formation to automatically index highlights of soccer games. A BP (Back-propagation) neural nets technique was applied to the information of the position of both the player and the ball on a ground, and the distance between the player and the ball to identify the group formation in space and time. The real soccer game scenes including '98 France World Cup were used to extract 297 video clips of various types of offence patterns; Left Running 60, Right Running 74, Center Running 72, Corner-kick 39 and Free-kick 52. The results are as follows: Left Running comes to 91.7%, Right Running 100%. Center Running 87.5%, Corner-kick 97.4% and Free-kick 75%, and these showed quite a satisfactory rate of recognition.

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A Study on Car License Plate Extraction using ACL Algorithm (ACL 알고리즘을 이용한 자동차 번호판 영역 추출에 대한 연구)

  • Jang, Seung-Ju;Shin, Byoung-Chul
    • The KIPS Transactions:PartD
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    • v.9D no.6
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    • pp.1113-1118
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    • 2002
  • In recognition system of the car license plate, the most important is to extract the image of the license plate from a car image. In this paper, we use ACL (Adaptive Color Luminance) algorithm to extract the license plate image from a car image. The ACL algorithm that uses color and luminance information of a car image is used to extract the image of the license plate. In this paper, color, luminance and other related information of a car image are used to extract the image of the license plate from that of a car. In this reason, we call it the ACL algorithm. The ACL algorithm uses color, luminance information and other related information of a license plate. These informations are avaliable to exact the image of the license plate. The rate of extracting the image of the license plate from a car is 97%. The experimental result of the ACL algorithm for the character region is 92%.

Computer-Aided Diagnosis for Pulmonary Tuberculosis using Texture Features Analysis in Digital Chest Radiography (질감분석을 이용한 폐결핵의 자동진단)

  • Kim, Dae-Hun;Ko, Seong-Jin;Kang, Se-Sik;Kim, Jung-Hoon;Kim, Chang-Soo
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.185-193
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    • 2011
  • There is no exact standard of detecting pulmonary tuberculosis(TB) in digital image of simple chest radiography. In this study, I experimented on the principal components analysis(PCA) algorithm in the past and suggested six other parameters as identification of TB lesions. The purpose of this study was to develop and test computer aided diagnosis(detection) method for the detection and measurement of pulmonary abnormalities on digital chest radiography. It showed comparatively low recognition diagnosis rate using PCA method, however, six kinds of texture features parameters algorithm showed similar or higher diagnosis rates of pulmonary disease than that of the clinical radiologists. Proposed algorithms using computer-aided of texture analysis can distinguish between areas of abnormality in the chest digital images, differentiate lesions having pulmonary disease. The method could be useful tool for classifying and measuring chest lesions, it would play a major role in radiologist's diagnosis of disease so as to help in pre-reading diagnosis and prevention of pulmonary tuberculosis.

A Literature Review on the E-mail Survey Response (전자우편 설문조사 반응에 관한 문헌적 고찰)

  • Kim, Jong-Hoon;Ryu, Jin-Hwa
    • Survey Research
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    • v.3 no.2
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    • pp.91-122
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    • 2002
  • The use of internet is expanding globally in a rapid way. The situation is similar in Korea. The growth of internet affects the various aspects of a social system. Such an impact is not an exception in the field of survey data-collection. The internet survey method has gained a recognition as an important survey approach in the U.S and Europe. A number of Korean research organizations have already started implementing the new survey method, too. The time is quite ripe for the internet survey in Korea. However, it is hard to find ever a good literature review on the subject. This study intends to review the results of the past studies about the question of what factors influence the response rate, speed, and quality. The influencing factors incorporated in this review include six elements: personalization, the survey sponsorship, incentives, the questionaire format, prenotification, and follow-ups. Regarding there sis factors, the results of the past studies relating to the internet survey response are reviewed in a systematic way.

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Solid tumors in childhood: risk-based management (소아 고형종양 - 위험군에 따른 맞춤 치료 -)

  • Koo, Hong Hoe
    • Clinical and Experimental Pediatrics
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    • v.50 no.7
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    • pp.606-612
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    • 2007
  • Since the introduction of chemotherapy for the treatment of childhood leukemia more than 50 years ago, the results of childhood cancer have improved dramatically. The 5-year survival rate of disease, many of which were uniformly fatal in the prechemotherapy era, reached to more than 75%. This remarkable improvement in survival is a direct result of the incorporation of chemotherapeutics into treatment regimens that previously relied only on surgery or radiotherapy for the primary tumor. The multimodality approach, which integrates surgery and radiotherapy to control local disease with chemotherapy to eradicate systemic or metastatic disease, has become the standard approach to treating most childhood cancers. The overall improvement in outcomes in childhood solid tumors has been related to the development of multidisplinary cooperative studies that has permitted the development of well-designed tumor treatment protocols characterized by uniform staging criteria, sharing informations in pathologic classification, uniform methods for tumor markers, oncogenes, and other biologic and genetic factors. Important advances in the biologic study of cancer and its genetic basis led to a number of observations that impact directly on the management of childhood solid tumors. Identification of specific genes, oncogenes, tumor markers, and other biologic and pathologic factors plays an important role in both staging and clarifying the risk categorization of individual patients. Treatment of the patient is influenced by the recognition of specific risk factors. This knowledge has resulted in a change in the approach to care based not only on staging criteria, but also on risk-based management. This concept uses various risk factors of outcomes. Risk-based management allows for each patient to maximize survival, minimize long-term morbidity and improve the quality of life, especially for children's growth and development.