• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.1
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• pp.1-9
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• 2013

This paper propose a human action recognition method that uses bag-of-features (BoF) based on CS-LBP (center-symmetric local binary pattern) and a spatial pyramid in addition to the random forest classifier. To construct the BoF, an image divided into dense regular grids and extract from each patch. A code word which is a visual vocabulary, is formed by k-means clustering of a random subset of patches. For enhanced action discrimination, local BoF histogram from three subdivided levels of a spatial pyramid is estimated, and a weighted BoF histogram is generated by concatenating the local histograms. For action classification, a random forest, which is an ensemble of decision trees, is built to model the distribution of each action class. The random forest combined with the weighted BoF histogram is successfully applied to Standford Action 40 including various human action images, and its classification performance is better than that of other methods. Furthermore, the proposed method allows action recognition to be performed in near real-time.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.37-45
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• 2018

The purpose of this study is to analyze the cognizance of North Korean refugee by applying Q methodology, as well as to provide preliminary data for improving North Korean refugee's image. The study process let P sample, the study participants, use Q-sorting methodology to sort Q sample, which is composed of statements. 18 participants sorted 32 statements and 3 types of North Korean refugee cognizance were produced as a result. Those types are 1(N=8), 2(N=6), and 3(N=4), which are type favorable, type whereas negative stereotypical, and type neutralist. Favorable types agreed to ensure North Korean refugee groups' rights as a general protection, whereas negative stereotypical types had strong discrimination and prejudice towards North Korean refugee groups due to lack of related knowledge. Furthermore, neutralist types showed an objection to negative stereotypes against North Korean refugee, but they did not entirely agree to North Korean refugee either. It is necessary to develop a detailed strategy to improve the social image of North Korean refugee.

• Journal of Fashion Business
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• v.24 no.4
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• pp.99-116
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• 2020

This study examines the characteristics of Paul Smith's fashion from the viewpoint of Habitus. To this end, on the theory of Bourdieu's Habitus concept and theory of the field, we derive the attributes of fashion and fashion designers and Habitus that appeared in fashion from the viewpoint of Habitus. Based on this, the tendency of Paul Smith's Habitus tendency has been examined and how it is expressed in fashion design and store production has been investigated. The scope of the study is from 1977 to the present, and it covers Paul Smith's menswear and stores. Research methods are literature research and visual data analysis. The results of the study are as follows. The characteristics of Habitus' tendency in Paul Smith are childlike imagination and humor, vigorous curiosity and observation, paranoid collection and memos, and British tradition and craftsmanship. Paul Smith's Habitus propensity reflects the following features in fashion design and store direction. First, a unique mix of wit or list structure, second, respect for uniqueness and discrimination with respect for the local image, and third, the new male image was presented to contribute to the diversification of consumers, and fourth, sensitivity and emotion reflecting his Habitus propensity. It is a friendly space for communication. As a result of analyzing and applying to Paul Smith, it was found that the special Habitus characteristics possessed by designers in fashion are important and impart a great influence.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.311-318
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• 2014

As modern computer graphics technology has been developed, it is hard to discriminate computer graphics from photographic images with the naked eye. Advances in graphics technology has brought a lot of convenience to human, it has side effects such as image forgery, malicious edit and fraudulent means. In order to cope with such problems, studies of various algorithms using a feature that represents a characteristic of an image has been processed. In this paper, we verify directly the existing algorithm, and provide new features based a noise that represents the characteristics of the computer graphics well. And this paper introduces the method of using SVM(Support Vector Machine) with features proposed in previous research to improve the discrimination accuracy.

• Convergence Security Journal
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• v.19 no.1
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• pp.67-78
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• 2019

Most existing facial expression recognition methods use a uniform grid method that divides the entire facial image into uniform blocks when describing facial features. The problem of this method may include non-face backgrounds, which interferes with discrimination of facial expressions, and the feature of a face included in each block may vary depending on the position, size, and orientation of the face in the input image. In this paper, we propose a variable-size block method which determines the size and position of a block that best represents meaningful facial expression change. As a part of the effort, we propose the way to determine the optimal number, position and size of each block based on the facial feature points. For the evaluation of the proposed method, we generate the facial feature vectors using LDTP and construct a facial expression recognition system based on SVM. Experimental results show that the proposed method is superior to conventional uniform grid based method. Especially, it shows that the proposed method can adapt to the change of the input environment more effectively by showing relatively better performance than exiting methods in the images with large shape and orientation changes.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.573-584
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• 2020

This study is about the development of AI algorithm education program using cognition modeling to positively improve students' image on AI. First, we analyzed the concept of user-based collaborative filtering and developed the education program using the cognition modeling method. We checked the adequacy of program through the expert validity test. Both CVR values for the content development method of cognitive modeling and the developed program showed validity above .80. We applied the developed program to elementary school students in class. The test was conducted using a semantic discrimination to examine changes in students' perception of artificial intelligence before and after. We were able to confirm that the students' AI images were significant positive change in 12 of the 23 words in the adjective pair.

• Journal of the Korean Society of Radiology
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• v.18 no.2
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• pp.179-185
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• 2024

By applying the various energy spectrum imaging functions of DECT, To quantitatively distinguish between contrast agent and calcification, changes in image quality are analyzed by comparing CNR and SNR. We investigated the level of dose reduction during two scans and one VNC scan. As a result, contrast agent and calcification were best distinguished in the 70 keV area, CNR and SNR were excellent, and scan dose was reduced by about 26.5%. Therefore, by applying DECT, meaningful results were obtained that could visually and quantitatively distinguish between the intravascular contrast agent and the shade of calcification. If clinical research is conducted in the future considering the patient's age, gender, and body type, quantitative analysis of calcification will be possible even with intravascular contrast agent flowing in, which will have a significant effect in reducing the patient's scan dose and the burden of multiple scans.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.372.1-372.1
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• 2016

Recently, there are a lot of diseases all around the world. Out of them, Atherosclerosis (AS) is the most common cause of stroke, cardiovascular mortality, and myocardial infarction. The macrophage-derived foam cell, which is formed by oxidized low-density lipoprotein (oxLDL), is the crucial marker for AS. In this study, we report a label-free capacitance imaging technique with multi-electrode array (MEA). The lipid-rich aorta arch lesions, which are derived from an apolipoprotein-E receptor-deficient (apoE-/-) mouse, exhibit higher capacitance than the lipid-free aorta arch, allowing the capacitance imaging of lipid region in atherosclerosis. To improve the contacts between MEA and tissue, polypyrrole(PPy)-coated multi walled carbon nanotubes (MWNTs) multi electrode array (PPy-MWNTs-MEA) was fabricated. Compared to TiN-MEA, PPy-MWNTs-MEA yielded lower contact impedance and better capacitance images. In addition, we have also developed a flexible MEA using single walled carbon nanotubes on a PET substrate. The lipid region could be discriminated in the capacitance images of the lipid-rich aorta arch lesions measured using flexible MEA, demonstrating a feasibility of in vivo applications.

• Journal of Environmental Impact Assessment
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• v.10 no.1
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• pp.1-8
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• 2001

Detection of red tides by satellite remote sensing can be done either by detecting enhanced level of chlorophyll pigment or by detecting changes in the spectral composition of pixels. Using chlorophyll concentration, however, is not effective currently due to the facts: 1) Chlorophyll-a is a universal pigment of phytoplankton, and 2) no accurate algorithm for chlorophyll in case 2 water is available yet. Here, red band algorithm, classification and PCA (Principal Component Analysis) techniques were applied for detecting patches of Cochlodinium polykrikoides red tides which occurred in Korean waters in 1995. This dinoflagellate species appears dark red due to the characteristic pigments absorbing lights in the blue and green wavelength most effectively. In the satellite image, the brightness of red tide pixels in all the three visible bands were low making the detection difficult. Red band algorithm is not good for detecting the red tide because of reflectance of suspended sediments. For supervised classification, selecting training area was difficult, while unsupervised classification was not effective in delineating the patches from surrounding pixels. On the other hand, PCA gave a good qualitative discrimination on the distribution compared with actual observation.

• Journal of Oriental Neuropsychiatry
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• v.25 no.2
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• pp.203-212
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• 2014

Objectives: The aim of this study is to bring new light on TalYeong-SilJeong (exhaustion of Yeonggi and loss of Essence) through the verification of both the original intention of Hwangjenaegyeong and the conceptual variation afterwards. Methods: Of various East Asian medical texts, those inferring to TalYeong-SilJeong includeing Hwangjenaegyeong itself were closely examined under the aspect of its conception. Results: TalYeong-SilJeong was suggested as the first representative tool and accurate diagnostic method of questioning in order to determine the mental state of a patient. However, medical scholars have suggested different levels of meaning. Some used the term for the broad coverage of mental illnesses, understanding Hwangjenaegyeong's discrimination as symbolic gesture, while others projected an unchallenged value on it and weaved it into the concrete set of a disease. Conclusions: The treatment of TalYeong-SilJeong is suggested according to the varying viewpoints of each medical text. By understanding multiple layers of the conception beyond, a clinician is expected to gain an exuberant image of conception on the one hand and an insight for more effective treatment on the other hand.