• 융합보안논문지
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• 제18권3호
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• pp.53-59
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• 2018

본 논문에서는 효율적인 사물 이미지 분류를 위한 계층적 이미지 분류 체계 방안에 대해 제안한다. 기존의 전체 이미지를 한 번에 분류하는 무 계층 이미지 분류에서는 상대적으로 유사한 모양을 가진 사물은 효율적으로 인식하지 못하는 모습을 보여줬다. 따라서 본 논문에서는 사물 이미지에 대해 계층적으로 분류를 시도하는 단계적 계층 구조에서의 이미지 분류 기법을 소개한다. 또한, 실제 시스템에 딥 러닝 이미지 분류가 적용되었을 때 발생할 수 있는 확장성에 대해서 고려하기 위해 확장성이 고려된 효율적인 클래스 구성 방식과 알고리즘도 소개한다. 이와 같은 방식은 상대적으로 유사한 형태를 보인 사물 이미지에 대해 더 높은 신뢰도로 이미지를 분류하는 것을 가능하게 한다.

• 천문학회보
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• 제46권1호
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• pp.47.4-48
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• 2021

Gravitationally lensed Type Ia supernovae may be the next frontier in cosmic probes, able to deliver independent constraints on dark energy, spatial curvature, and the Hubble constant. Measurements of time delays between the multiple images become more incisive due to the standardized candle nature of the source, monitoring for months rather than years, and partial immunity to microlensing. While currently extremely rare, hundreds of such systems should be detected by upcoming time-domain surveys. Others will have the images spatially unresolved, with the observed lightcurve a superposition of time delayed image fluxes. We investigate whether unresolved images can be recognized as lensed sources given only lightcurve information and whether time delays can be extracted robustly. We develop a method that we show can identify these systems for the case of lensed Type Ia supernovae with two images and time delays exceeding ten days. When tested on such an ensemble the method achieves a false positive rate of ≲5%, and measures the time delays with the completeness of ≳93% and with a bias of ≲0.5% for time delay ≳10 days. Since the method does not assume a template of any particular type of SN, the method has the potential to work on other types of lensed SNe systems and possibly on other transients.

• Korean Journal of Radiology
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• 제2권1호
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• pp.42-51
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• 2001

Because the tongue is superficially located and the initial manifestation of most diseases occurring there is mucosal change, lingual lesionscan be easily accessed and diagnosed without imaging analysis. Some lingual neoplasms, however, may manifest as a submucosal bulge and be located in a deep portion of the tongue, such as its base; their true characteristics and extent may be recognized only on cross-sectional images such as those obtained by CT or MRI. Some uncommon tongue neoplasms may have characteristic radiologic features, thus permitting quite specific radiologic diagnosis. Lipomas typically manifest at both CT and MR imaging as homogeneous nonenhancing lesions. Relative to subcutaneous fat they are isoattenuating on CT images, and all MR sequences show them as isointense. Due to the paramagnetic properties of melanin, metastases from melanotic melanoma usually demonstrate high signal intensity on T1-weighted MR images and low signal intensity on T2-weighted images. Although the radiologic findings for other submucosal neoplasms are nonspecific, CT and MR imaging can play an important role in the diagnostic work-up of these unusual tumors. Delineation of the extent of the tumor, and recognition and understanding of the spectrum of imaging and the pathologic features of these lesions, often help narrow the differential diagnosis.

• 복식문화연구
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• 제16권5호
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• pp.795-811
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• 2008

The purpose of this study is the structural relations will be examined among the VMD image of clothe stores, emotional reactions of brand awareness, brand image, brand attitude, and purchase intention. An empirical study in experimental design was conducted to female college students in their twenties, who made a huge influential group in the fashion industry, by considering the VMD characteristics of clothing shops. It measured the effects of VMD based on the changes to the consumer attitude before and after the VMD renewals, the correlations between brand recognition and VMD, and the influences of VMD on brand recognition and image, which were considered as important factors in creating brand assets. The research findings were as follows: 1. There were differences in emotional reactions according to the VMD image changes before and after renewal. Considering that the consumers recognized the VMD changes before and after renewal and showed different emotional reactions, the VMD image seems to be a major variable affecting their emotions. 2. As for the changes to the VMD image and brand image before and after renewal, the consumers recognized the VMD changes before and after renewal and consequently recognized the brad images differently, which implies that brand image can vary according to the effects of VMD renewal and changes to the VMD image.

• 제어로봇시스템학회논문지
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• 제16권12호
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• pp.1226-1232
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• 2010

A door can serve as a feature for place classification and localization for navigation of a mobile robot in indoor environments. This paper proposes a door detection method based on the recognition of various door handles using the general Hough transform (GHT) and support vector machine (SVM). The contour and color histogram of a door handle extracted from the database are used in GHT and SVM, respectively. The door recognition scheme consists of four steps. The first step determines the region of interest (ROI) images defined by the color information and the environment around the door handle for stable recognition. In the second step, the door handle is recognized using the GHT method from the ROI image and the image patches are extracted from the position of the recognized door handle. In the third step, the extracted patch is classified whether it is the image patch of a door handle or not using the SVM classifier. The door position is probabilistically determined by the recognized door handle. Experimental results show that the proposed method can recognize various door handles and detect doors in a robust manner.

• 한국간호교육학회지
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• 제17권1호
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• pp.36-43
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• 2011

Purpose: The purpose of this study was to identify the level of role expectation and role performance in school health teachers recognized by nursing students experiencing health teacher practice and to compare role expectation and performance according to their characteristics. Method: The subjects in this study were 530 nursing students from 42 universities in Korea. The data was collected by a structured self-administered questionnaire and analyzed using descriptive statistics, t-test, and ANOVA by SPSS 17.0 program. Results: The student recognition in role expectation for school health teachers showed a high level and its level in the role performance was moderate. The students recognized the role expectation was greater than the role performance in school health teachers. The students' points of view for role expectation and performance were statistically different according to their practicing locations, practicing school sizes, and their expressions of health teacher's images. Conclusion: To improve health teacher training and to provide a high quality education, practice manuals, educational support, cooperation between the university and practice school, and support of human resources as school health teachers are necessary.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권2호
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• pp.105-110
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• 2008

Human being recognizes emotion fusing information of the other speech signal, expression, gesture and bio-signal. Computer needs technologies that being recognized as human do using combined information. In this paper, we recognized five emotions (normal, happiness, anger, surprise, sadness) through speech signal and facial image, and we propose to method that fusing into emotion for emotion recognition result is applying to multimodal method. Speech signal and facial image does emotion recognition using Principal Component Analysis (PCA) method. And multimodal is fusing into emotion result applying fuzzy membership function. With our experiments, our average emotion recognition rate was 63% by using speech signals, and was 53.4% by using facial images. That is, we know that speech signal offers a better emotion recognition rate than the facial image. We proposed decision fusion method using S-type membership function to heighten the emotion recognition rate. Result of emotion recognition through proposed method, average recognized rate is 70.4%. We could know that decision fusion method offers a better emotion recognition rate than the facial image or speech signal.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.37-40
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• 2021

This paper presents a design of a speech to sign language converter for deaf and hard of hearing people. The device is low-cost, low-power consumption, and it can be able to work entirely offline. The speech recognition is implemented using an open-source API, Pocketsphinx library. In this work, we proposed a context-oriented language model, which measures the similarity between the recognized speech and the predefined speech to decide the output. The output speech is selected from the recommended speech stored in the database, which is the best match to the recognized speech. The proposed context-oriented language model can improve the speech recognition rate by 21% for working entirely offline. A decision module based on determining the similarity between the two texts using Levenshtein distance decides the output sign language. The output sign language corresponding to the recognized speech is generated as a set of sequential images. The speech to sign language converter is deployed on a Raspberry Pi Zero board for low-cost deaf assistive devices.

• KSTLE International Journal
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• 제3권1호
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• pp.54-59
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• 2002

It can be effective on failure diagnosis of oil-lubricated tribological system to analyze operating conditions with morphological characteristics of wear debris in a lubricated machine. And it can be recognized that results are processed threshold images of wear debris. But it is needed to analyse and identify a morphology of wear debris in order to predict and estimate a operating condition of the lubricated machine. If the morphological characteristics of wear debris are identified by the computer image analysis and the neural network, it is possible to recognize the friction condition. In this study, wear debris in the lubricating oil are extracted from membrane filter (0.45 ${\mu}m$) and the quantitative value fur shape parameters of wear debris was calculated through the computer image processing. Four shape parameters were investigated and friction condition was recognized very well by the neural network.

• 한국인터넷방송통신학회논문지
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• 제10권4호
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• pp.177-182
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• 2010

자막의 원영상 복원은 동영상 재 사용성이란 측면에서 많은 연구가 진행되어 왔다. 외국에서 수입된 동영상의 경우 외국어 자막이 삽입된 경우가 종종 발생하며 자막에 삽입된 외국어를 자국어로 대치할 필요가 종종 발생한다. 원영상 손실없이 자연스런 자막교환을 위해서는 자막 부분의 원영상 복원이 필요하며, 자막의 원영상 복원은 동영상 재 사용성이란 측면에서 많은 연구가 진행되어 왔다. 이러한 원영상 복원의 중요성에 불구하고 복원의 대상이 되는 자막 특성에 대한 체계적인 분석이 이루어 지지 않는 문제점이 있다고 볼 수 있다. 본 논문에서는 TV 프로그램 장르별 구분 방법을 학계, 방송사, 방송기구별로 분류 조사하고, 각 장르별 자막의 출현 빈도, 자막 내용의 중요도 및 복원의 필요성에 대하여 분석한다. 복원의 필요성이 크게 인식되는 자막에 대한 특성을 분석하고 그 정보를 복원 정보로 사용한다.