• Journal of the Institute of Electronics Engineers of Korea SD
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• v.47 no.2
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• pp.106-114
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• 2010

We proposed an unified design methodology and verification platform for giga-scale System on Chip (SoC). According to the growth of VLSI integration, the existing RTL design methodology has a limitation of a production gap because a design complexity increases. A verification methodology need an evolution to overcome a verification gap. The proposed platform includes a high level synthesis, and we develop a power-aware verification platform for low power design and verification automation using it's results. We developed a verification automation and power-aware verification methodology based on control and data flow graph (CDFG) and an abstract level language and RTL. The verification platform includes self-checking and the coverage driven verification methodology. Especially, the number of the random vector decreases minimum 5.75 times with the constrained random vector algorithm which is developed for the power-aware verification. This platform can verify a low power design with a general logic simulator using a power and power cell modeling method. This unified design and verification platform allow automatically to verify, design and synthesis the giga-scale design from the system level to RTL level in the whole design flow.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.6
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• pp.465-476
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• 2021

Scale and rust generation in water pipes is a common phenomenon when cast iron water pipes have been used for a long time. A physical water treatment device is known among various means for suppressing rust in a water pipe, and a zinc ionization device for putting zinc metal into a pipe and emitting the zinc cation into water is one of such devices. This research measured the amount of zinc ion generated, which is known to exhibit an effect of inhibiting rust and scale generation in a pipe, and examined the scale and rust inhibition effect of the ionization device installed for ground or building water supply. In the case of distilled water, the concentration of zinc ion increased by circulating water in the ionization device several times, and it was verified to be hundreds of ㎍/L, and in the case of discharging ground or tap water, it was verified to be tens of ㎍/L. In addition, a verification pipe was installed to confirm the change inside the pipe before and after installation of the zinc ionization device, and the internal condition of the pipe was observed 3 months to several years after installation. It was confirmed that the corrosion area of the surface of the pipe was no longer increased by installing a corrosion inhibitor, and if the pipe was already filled with corrosion products, the amount of corrosion products gradually decreased every year after installation. The phenomenon of fewer corrosion products could be interpreted as expanding the space in the pipe due to the corrosion product as Fe₂O₃ adhered to the inner surface of the pipe and turned into a smaller black Fe₃O₄. In addition, we found that scale such as CaCO₃ together in the corrosion by-products gradually decreased with the attachment of the ionization device.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.422-422
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• 2012

In2O3 계열의 산화물 전도성 투명 전극은 최근 디스플레이, 태양전지 등 전자산업에서 중요한 소재로 전 세계적으로 많이 연구되고 있다. 또한 3.6 eV의 wide bandgap을 가짐으로서 센서 등의 반도체 소자로의 응용가능성이 매우 큰 것으로 알려져 있다. 기존의 연구는 In2O3에 SnO2, Al2O3, Ga2O3 등을 혼합하여 화합물 형태의 투명전극 소재를 개발하고, 전도성 및 투과율 등을 개선시키는데 초점이 맞춰져왔다. 최근에 들어서 나노스케일 물질의 제조 기술 개발로 낮은 차원의 In2O3 나노구조는 센서나 발광다이오드와 같은 전자기기의 제작을 위해서 연구 되었는데, 본 논문에서는 Carbon을 doping하여 p-형 반도체로의 응용 가능성을 고찰하였다. 본 논문에서는 In2O3:C 박막을 radio-frequency magnetron sputtering 방법으로 sapphire(0001) 기판위에 증착하였다. 통상적으로 ceramic target에 carbon을 혼합하여 sintering하여 제작한 ceramic target 대신, In2O3 powder와 CNT를 혼합하여 powder형태의 sputter target을 사용하였다. 박막의 증착 초기에는 매우 평평한 층구조로 성장하였고, 박막의 두께가 증가함에 따라 섬조직이 생성되기 시작하여 표면거칠기가 매우 크게 증가하였다. 박막의 두께가 500 nm 이상이 되면 나노 피라미드가 생성되는데, 이는 In2O3의 결정구조에 기인한 것으로 판단된다.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.218.1-218.1
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• 2013

GeSbTe 삼원계 칼코겐화물 합금은 광디스크 및 상변화 메모리에서 활성물질로 사용되는 대표적인 재료이다. GeSbTe 합금은 결정질 상과 비정질 상의 두 종류의 상을 갖는데 그 상에 따라 반사율 및 전기저항이 서로 다르기 때문에 활성물질로서 작용한다. GeSbTe 합금 구성원소의 일부를 포함하는 두 종류의 물질로 접합을 형성하고 열처리 공정을 수행함으로써 GeSbTe 합금을 국부적으로 생성하는 방법이 최근에 보고되었다. 이러한 방법을 상변화 메모리 소자 제조에 이용하면 GeSbTe 합금을 제한된 영역에 나노 스케일로 만드는 것이 가능해져서 GeSbTe 합금의 상변화를 유도하는데 필요한 프로그래밍 전류를 낮추는 효과를 얻을 수 있다. 상변화 메모리 소자 내에서의 GeSbTe 합금의 두께 또는 크기는 상변화 메모리 소자의 동작 특성을 좌우하는 중요한 파라미터이며 이것은 열처리 공정 조건에 따라 결정되므로 열처리 공정 조건에 따라 GeSbTe 합금이 생성되는 양상이 어떻게 변화하는지를 밝힐 필요가 있다. 따라서 본 연구에서는 다양한 열처리 온도 조건에서 Ge-Sb-Te 삼성 분계에서의 구성 원소들의 상호확산 거동을 조사하였다. 순수한 Ge 박막과 조성이 다른 SbTe 박막의 접합을 형성하고 773K까지의 온도 범위에서 열처리를 실시하였다. Auger 수직 분석을 이용하여 Ge, Sb, 및 Te 원소의 깊이 방향의 확산 정도를 조사하였으며 그 결과로서 열처리 온도가 증가함에 따라 상호확산 정도가 심해지고 Te 원소가 상호확산에 있어서 중요한 역할을 한다는 사실을 확인하였다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2004.10a
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• pp.137-140
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• 2004

Oscillating heat release associated with periodic vortex-flame interaction was investigated experimentally. Turbulent jet flames were stabilized with recirculating hot products in a dump combustor, and large-scale periodic vortices were imposed into the jet flame by acoustic forcing. Forcing frequencies and operating parameters were adjusted to simulate unstable combustor operation in practical combustors. The objectives were to characterize vortex-heat release interaction that leads to unwanted heat release fluctuations and to identify the proper fuel injection pattern that could be used for actively suppressing such fluctuations. Phase-resolved CH* chemiluminescence and schlieren images were used as diagnostic tools. The results were compared at corresponding phases of vortex shedding cycle.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.208-214
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• 2021

Recently, much of the intelligent security scenario and criminal investigation demands for matching photo and non-photo. Existing face recognition system can not sufficiently guarantee these needs. In this paper, we propose an algorithm to improve the performance of heterogeneous face recognition systems by reducing the different modality between sketches and photos of the same person. The proposed algorithm extracts each image's texture features through texture descriptors (gray level co-occurrence matrix, multiscale local binary pattern), and based on this, generates a transformation matrix through eigenfeature regularization and extraction techniques. The score value calculated between the vectors generated in this way finally recognizes the identity of the sketch image through the score normalization methods.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.105-113
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• 2007

In this paper, an image segmentation method which is based on edge salience map and region merging is presented. The edge salience map is calculated by combining a texture edge map with a color edge map. The texture edge map is computed over multiple spatial orientations and frequencies by using Gabor filter. A color edge is computed over the H component of the HSI color model. Then the Watershed transformation technique is applied to the edge salience map to and homogeneous regions where the dissimilarity of color and texture distribution is relatively low. The Watershed transformation tends to over-segment images. To merge the over-segmented regions, first of all, morphological operation is applied to the edge salience map to enhance a contrast of it and also to find mark regions. Then the region characteristics, a Gabor texture vector and a mean color, in the segmented regions is defined and regions that have the similar characteristics, are merged. Experimental results have demonstrated the superiority in segmentation results for various images.

• Journal of the Korean association of regional geographers
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• v.16 no.3
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• pp.295-314
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• 2010

The paper attempts to balance the discourses of transnational spaces that have focused on de-territorialization, by emphasizing that transnational spaces are maintained also through re-territorialization. Reviewing the literature of transnational social fields, translocality, multicultural spaces and transnational places, I aim to show the way the main issues from the literature help understand an actually existing transnational space, Little Mania in Daehangno, Seoul. I specifically address the dialectic relation between de-territorialization and re-territorialization, multi-scalar networks, and hybridity of multicultural spaces in interpreting the weekend enclave of Filipinos in Seoul. I argues that Little Manila is a grounded translocality operating through multi-scaled networks of various actors. Furthermore, it is not a unified space where one dominant Filipino identity stands out. Different Filipinos and Filipinas constitute the space imagining different homes. It is also a multicultural space open to other minorities, which suggests the possibility of alternative spatial politics based on co-presence of different 'Others'.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.36T no.3
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• pp.26-31
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• 1999

In this paper, we propose a facial characteristic detection algorithm based on knowledge and object segmentation method for image communication. In this algorithm, under the condition of the same lumination and distance from the fixed video camera to human face, we capture input images of 256 $\times$ 256 of gray scale 256 level and then remove the noise using the Gaussian filter. Two images are captured with a video camera, One contains the human face; the other contains only background region without including a face. And then we get a differential image between two images. After removing noise of the differential image by eroding End dilating, divide background image into a facial image. We separate eyes, ears, a nose and a mouth after searching the edge component in the facial image. From simulation results, we have verified the efficiency of the Proposed algorithm.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.97-105
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• 2009

This paper presents a combination of the generalized Cascade Correlation and generalized Recurrent Cascade Correlation learning algorithms. The new network will be able to grow with vertical or horizontal direction and with recurrent or without recurrent units for the quick solution of the pattern classification problem. The proposed algorithm was tested learning capability with the sigmoidal activation function and hyperbolic tangent activation function on the contact lens and balance scale standard benchmark problems. And results are compared with those obtained with Cascade Correlation and Recurrent Cascade Correlation algorithms. By the learning the new network was composed with the minimal number of the created hidden units and shows quick learning speed. Consequently it will be able to improve a learning capability.