• School Mathematics
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• v.18 no.1
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• pp.175-191
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• 2016

In the elementary school mathematics textbook that has been revised in 2013, the instructional sequence for teaching addition and subtraction, which had remained unchanged for three decades since 1982, was finally changed in 2013. Particularly, the addition and subtraction of two-digit numbers without regrouping, such as 72+25=97 or 85-24=61, are taught earlier than the composing and decomposing of the number 10 using other numbers. This study examines the appropriacy and validity of these changes. However, the reason for these changes in the national curriculum or teacher's guide could not be determined. Further, several references emphasize the addition of two single-digit numbers, such as 7+8=15, and the subtraction of a single-digit number from a number between 11 and 19, such as 16-9=7, as basic facts. In other countries' textbooks, the teaching of addition and subtraction up to the number 20 is prioritized before teaching the addition and subtraction of two-digit numbers without regrouping. The results of this study indicate that these changes in the instructional sequence in the textbook that was revised in 2013 need to be reconsidered.

• Journal of radiological science and technology
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• v.42 no.5
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• pp.351-356
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• 2019

This study aimed to determine whether there was a difference in measurements between North American Symptomatic Carotid Endarterectomy Trial(NASCET) and Warfarin-Aspirin Symptomatic Intracranial Disease(WASID) methods that measure the middle cerebral artery stenosis in Digital Subtraction Angiography (DSA) and Magnetic Resonance Angiography (MRA). It involved 24 patients who had completed both DSA and MRA among patients with Middle Cerebral Artery (MCA) stenosis. The Middle Cerebral Artery (MCA) stenosis was measured using the NASCET and WASID methods through a retrospective analysis. For the NASCET and WASID methods, they performed measurements on normal blood vessels located far from and close to the stenosis, respectively. The mean value and standard deviation of the Digital Subtraction Angiography (DSA) measured by the NASCET method were 59.23% and 13.27%. On the other hand, those of the Digital Subtraction Angiography (DSA) measured by the WASID method were 66.64% and 12.47%. And, the mean value and standard deviation of the Magnetic Resonance Angiography (MRA) measured by the NASCET method were 49.82% and 12.06%. By contrast, those of the Magnetic Resonance Angiography (MRA) measured by the WASID method were 56.63% and 10.67%. All the p-values obtained by the Pearson and Spearman correlation tests in the Digital Subtraction Angiography (DSA) and the Magnetic Resonance Angiography (MRA) were <0.01. In conclusion, this study suggests that both the NASCET and WASID methods to measure the middle cerebral artery stenosis in the Digital Subtraction Angiography (DSA) and the Magnetic Resonance Angiography (MRA) can be used if they are not used interchangeably.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.05a
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• pp.20-21
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• 2001

• Imaging Science in Dentistry
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• v.32 no.3
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• pp.147-151
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• 2002

Purpose: To compare the standard deviation of gray levels on digital subtracted images obtained by different dental subtraction programs. Materials and Methods: Paired periapical films were taken at the lower premolar and molar areas of the phantoms involving human mandible. The bite registration group used Rinn XCP equipment and bite registration material, based on polyvinyl siloxane, for standardization. The no bite registration group used only Rinn XCP equipment. The periapical film images were digitized at 1200 dpi resolution and 256 gray levels by a flat bed scanner with transparency unit. Dental digital subtraction programs used for this study were Subtractor (Biomedisys Co., Korea) and Emago (Oral Diagnostic Systems, The Netherlands). To measure the similarities between the subtracted images, the standard deviations of the gray levels were obtained using a histogram of subtracted images, which were then analyzed statistically. Results: Subtracted images obtained by using the Emago program without manual selection of corresponding points showed the lowest standard deviation of gray levels (p<0.01). And the standard deviation of gray levels was lower in subtracted images in the group of a bite registration than in the group of no use of bite registration (p < 0.01). Conclusion: Digital radiographic subtraction without manual selection of reference points was found to be a convenient and superior method.

• The Journal of the Acoustical Society of Korea
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• v.18 no.1
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• pp.38-44
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• 1999

In this paper, a new spectral subtraction technique with two microphone inputs is proposed. In conventional spectral subtraction using a single microphone, the averaged noise spectrum is subtracted from the observed short-time input spectrum. This results in reduction of mean value of noise spectrum only, the component varying around the mean value remaining intact. In the method proposed in this paper, the short-time noise spectrum excluding the speech component is estimated by introducing the blocking matrix used in Griffiths-Jim-type adaptive beamformer with two microphone inputs, combined with the spectral compensation technique. A simulation was conducted to verify the effectiveness of the method.

• KIISE Transactions on Computing Practices
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• v.24 no.3
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• pp.151-156
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• 2018

In this paper, a method to classify objects in outdoor CCTV images using Convolutional Neural Network(CNN) and background subtraction is proposed. Object candidates are extracted using background subtraction and they are classified with CNN to detect objects in the image. At the end, computation complexity is highly reduced in comparison to other object detection algorithms. A database is constructed by filming alleys and playgrounds, places where crime occurs mainly. In experiments, different image sizes and experimental settings are tested to construct a best classifier detecting person. And the final classification accuracy became 80% for same camera data and 67.5% for a different camera.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.1946-1963
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• 2014

Most background subtraction methods focus on dynamic and complex scenes without considering robustness against noise. This paper proposes a background subtraction algorithm based on dictionary learning and sparse coding for handling low light conditions. The proposed method formulates background modeling as the linear and sparse combination of atoms in the dictionary. The background subtraction is considered as the difference between sparse representations of the current frame and the background model. Assuming that the projection of the noise over the dictionary is irregular and random guarantees the adaptability of the approach in large noisy scenes. Experimental results divided in simulated large noise and realistic low light conditions show the promising robustness of the proposed approach compared with other competing methods.

• Journal of Korean Medical classics
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• v.28 no.2
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• pp.103-114
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• 2015

Objectives : The publication year(1608) of Euilinchwalyo is very closed to the year(1610) of Dongeuibogam, so several researches indicate that Dongeuibogam was influenced by Euilimchwalyo. We, authors have recently focused on the way to quote books in Dongeuibogam and found particular aspects in the way of quotation between Euilimchwalyo and Dongeuibogam. Methods : 1. Comparing the contents of Sosokmyeongtang in quotation books between Euilimchwalyo and Dongeuibogam. 2. Tracing the origin of Sosokmyeongtang and comparing chief virtue, consist of herbal medicine, way of dose and making and the method of addition and subtraction in Sosokmyeongtang. Results : Beijiqianjiyaofang was the origin book that recorded Sosokmyeongtang but there was no methods of addition and subtraction. After Jin and Yuan dynasty, the books, which had Sosokmyeongtang, started to record the methods of addition and subtraction in Sosokmyeongtang. However, even though Euilinchwalyo also recorfed the methods of addition and subtraction in Sosokmyeongtang such as other medical books, Dongeuibogam didn't keep that way to document up. Conclusions : The fact that Dongeuibogam was influenced by Euilimchwalyo means 2 ways. The first is that Dongeuibogam was influenced by Euilimchwalyo directly. The second is that Heo Jun, who wrote Dongeuibogam, tried not to duplcate or follow Euilimchwalyo somehow.

• Korean Institute of Interior Design Journal
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• v.25 no.2
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• pp.3-12
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• 2016

Aires Mateus Architects is one of the most well-known Portuguese architects after $\acute{A}lvaro$ Siza and Eduardo Souto de Moura. The studio shows clear design methods in which the relationship between solid mass and void space are creatively inter-connected. Subtractive transformation of form is the fundamental aspect of this relationship. Most of Aires Mateus' projects were designed based on the subtractive method. Although subtraction can be seen as architectural formal presentation, in Aires Mateus' cases, there are deeper logics, strategies, and meanings. Not only to create a form, subtractive method has been flexibly used to organize and compose different programs and spatial atmosphere. To examine this hidden dimension of Aires Mateus' unique design process, 5 case projects were selected and analyzed in detail based on program, light & visual-perception, and site's placeness. From the case study results, it is found that there are much deeper role of subtraction: relationship between solid-void are constantly changing to generate serviced and servant spaces, there are central spaces that are contrast against the complexity of exterior forms, aiming to build an archetypal form that transcends ever-changing time, ambivalent balance between universality and peculiarity in the genealogy of contemporary architecture. The study concluded that the unique characteristics of subtraction method as design organization have various possibilities that can apply on other architectural and interior projects which would have similar ideas and circumstances.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.6 no.2
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• pp.81-87
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• 2013

Motion segmentation is a fundamental technique for analysing image sequences of real scenes. A process of identifying moving objects from data is a typical task in many computer vision applications. In this paper, we propose motion segmentation that generally consists from background subtraction and foreground pixel segmentation. The Approximated Median Filter (AMF) was chosen to perform background modeling. Motion segmentation in this paper covers RGB video data.