• Title/Summary/Keyword: 융합 특성

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The Study on Factors Affecting Educational Need to Convergence Major of Dental Hygiene Students at K University (K대학교 치위생학과 학생의 융합전공 교육 요구도에 영향을 미치는 요인에 관한 연구)

  • Ma I Choi;Min-Sun Lee
    • Journal of Korean Dental Hygiene Science
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    • v.7 no.1
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    • pp.29-37
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    • 2024
  • Background: This study investigatedthe factors influencing the degree of education in the Department of Dental Hygiene at K University on the degree of education required for a convergence major related to the medical device industry. Methods: For 5 days from December 5, 2023, 257 students of the Department of Dental Hygiene at a university in Wonju Citywere surveyed, and an online survey was conducted. General characteristics, school satisfaction, satisfaction with majors, perceptions of multi-majors in universities, and the degree of demand for a convergence major related to the medical device industry were examined. Since normality was not satisfied, non-parametric analysis was performed. To confirm the differences in convergence major related to medical device industry education needs according to general characteristics, the Mann-Whitney U test and Kruskal-Wallis test were performed. Post-hoc analysis was performed, and the median, minimum, and maximum values were presented. Multiple regression analysis was performed to confirm the effect on the demand for a convergence major related to the medical device industry, and the statistical significance probability was set at 0.05. Results: As a result of examining the factors affecting the demand for a convergence major related to the medical device industry, it was found that the more experience one has in completing a double major in college (p<0.05) and the higher the degree of satisfaction with the major (p<0.05), the statistically significant need for an interdisciplinary major was higher(p<0.05).

A Study on Biometric Model for Information Security (정보보안을 위한 생체 인식 모델에 관한 연구)

  • Jun-Yeong Kim;Se-Hoon Jung;Chun-Bo Sim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.317-326
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    • 2024
  • Biometric recognition is a technology that determines whether a person is identified by extracting information on a person's biometric and behavioral characteristics with a specific device. Cyber threats such as forgery, duplication, and hacking of biometric characteristics are increasing in the field of biometrics. In response, the security system is strengthened and complex, and it is becoming difficult for individuals to use. To this end, multiple biometric models are being studied. Existing studies have suggested feature fusion methods, but comparisons between feature fusion methods are insufficient. Therefore, in this paper, we compared and evaluated the fusion method of multiple biometric models using fingerprint, face, and iris images. VGG-16, ResNet-50, EfficientNet-B1, EfficientNet-B4, EfficientNet-B7, and Inception-v3 were used for feature extraction, and the fusion methods of 'Sensor-Level', 'Feature-Level', 'Score-Level', and 'Rank-Level' were compared and evaluated for feature fusion. As a result of the comparative evaluation, the EfficientNet-B7 model showed 98.51% accuracy and high stability in the 'Feature-Level' fusion method. However, because the EfficietnNet-B7 model is large in size, model lightweight studies are needed for biocharacteristic fusion.

On Characteristics of Orthogonal Waveform Functions for Ultra Wide-Band Communication Systems (UWB통신시스템을위한지교파형함수특성)

  • Jeong, Chan-Wu;Lee, Jeong-Jae
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2005.11a
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    • pp.314-316
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    • 2005
  • 본 논문에서는 UWB 통신을 위한 직교 변형 Hermite 파형형성함수와 정현파를 이용한 변조 Hermite펄스함수의 시간과 주파수 영역에서의 특성을 검토하였다. 그리고 이를 이용한 직교 펄스 다원접속 시스템의 송신기와 수신기를 구성하고 그 성능을 분석하였다.

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Energy Keys Based Scalable Indexing Schemes of Large Color Image Archives (에너지 키에 기초한 대형 칼라 영상 기록물의 계층적 인덱싱 기법)

  • 박대철;강종묵
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2001.06a
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    • pp.225-228
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    • 2001
  • We propose a method which has effective scalable indexing characteristics of large color image archives. Color key and energy key method which uses provides high performance of fast accessing and has almost constant query response time over DH size.

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Multiple Texture Image Analysis and Classification using Spatial Property (공간적인 특성을 이용한 다중 텍스쳐 영상 분석 및 분류)

  • 모문정;김욱현
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.105-108
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    • 2000
  • 본 논문에서는 텍스쳐가 지니고 있는 일반적인 속성 거침, 부드러움의 특성을 분석해서 영상에 내재된 텍스쳐를 자동으로 분석하고 분류하는 텍스쳐 인식 시스템을 제안한다. 본 연구는 텍스쳐 영상이 지닌 그레이 레벨의 공간적인 의존성을 이용한 통계적 분석에 기반 한 것으로 모멘트와 동차성의 차를 이용해서 텍스쳐의 일반적인 속성을 검출하기 때문에 텍스쳐의 구조형태에 크게 영향을 받지 않는 이점을 가진다. 제안한 시스템의 성능 평가를 위해서 다양한 텍스쳐 영상에 제안한 방법을 적용하고, 성공적인 결과를 보인다.

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A Method on Design of Robust Control System (견실 제어계의 설계법에 관한 연구)

  • 이상욱;홍순일;손의식
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.08a
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    • pp.125-128
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    • 2000
  • 가상적인 검출잡음을 가정하고 칼만 필타(Kalman Filter)를 고려하여 근사적 최적 레귤레이터의 특성에 가깝게 함으로써 견실 안정성을 회복할 수 있는 제어 시스템의 설계에 관하여 검토한다. 본 연구에서는 관측기를 이용한 최적 레귤레이터 계에 적분기를 결합한 견실제어계의 설계법을 나타내고 견실성을 회복할 수 있는 제어기의 파라미터 설정법을 나타낸다. 제어대상의 파라미터 변동에 의해서 생기는 등가인 외란을 억제하고 과도특성이 변하지 않는 제어 시스템을 모델 매칭의 원리에 기초하여 설계한다.

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Unsupervised Image Classification through Multisensor Fusion using Fuzzy Class Vector (퍼지 클래스 벡터를 이용하는 다중센서 융합에 의한 무감독 영상분류)

  • 이상훈
    • Korean Journal of Remote Sensing
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    • v.19 no.4
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    • pp.329-339
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    • 2003
  • In this study, an approach of image fusion in decision level has been proposed for unsupervised image classification using the images acquired from multiple sensors with different characteristics. The proposed method applies separately for each sensor the unsupervised image classification scheme based on spatial region growing segmentation, which makes use of hierarchical clustering, and computes iteratively the maximum likelihood estimates of fuzzy class vectors for the segmented regions by EM(expected maximization) algorithm. The fuzzy class vector is considered as an indicator vector whose elements represent the probabilities that the region belongs to the classes existed. Then, it combines the classification results of each sensor using the fuzzy class vectors. This approach does not require such a high precision in spatial coregistration between the images of different sensors as the image fusion scheme of pixel level does. In this study, the proposed method has been applied to multispectral SPOT and AIRSAR data observed over north-eastern area of Jeollabuk-do, and the experimental results show that it provides more correct information for the classification than the scheme using an augmented vector technique, which is the most conventional approach of image fusion in pixel level.

A Study on Convergence of Color Characteristics (색채특성의 융합에 대한 연구)

  • Juan, Chen;Xu, Boa-Liang;Kim, Won-Seok
    • Journal of Digital Convergence
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    • v.16 no.10
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    • pp.421-426
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    • 2018
  • For an artwork, color, shape and structure are key factors to create emotional atmosphere of the wrok. And it is fair to say that color is the most important element of the work. The tone of color reflects the joys and sorrows of the picture and the severity of the work's plot. The audience is to be attractted by colors' harmonious or passionate in this visual feast. Fusion controlling of color tone is mainly determined by color gamut that accounted for the vast area of the picture.