• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.717-721
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• 2008

This paper proposes an image system that can efficiently measure the spectral reflectance of a scene using RGB cameras and LED light sources. Multispectral imaging system is composed of LED controllers, LED clusters and RGB cameras. It captures full-spectral images at real-time. The system adopts a simple, empirical linear model to estimate the full spectral reflectance at each pixel. Since the model is linear, the reconstruction is efficient and stable. We estimated the spectral reflectance of various scenes using the system and showed the effectiveness of the proposed system.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.106-114
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• 2021

The needs in terms of wireless communications are growing up both for civil and military applications. Therefore a constant improvement of this technology is required to meet customer wishes. One of its main shortcomings is the inefficient use of the spectrum in which a large part of the allocated bands of frequencies is unused. Since communication is crucial, spectrum shortage problems can lead a multi-national and coalition operation to failure. Cognitive Radio Networks (CRNs) are a promising technology which continuously analyses the spectrum searching for available frequencies. It can solve this spectrum issue by avoiding interferences, improving system-wide spectral efficiency, robustness to dynamic conditions and allowing more spectrum flexibility This paper specifically analyzed and presented the application of the CRNs in the military operational environment, and presented the appropriate method applicable to each actual operational situation.

• Journal of the Society of Naval Architects of Korea
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• v.34 no.2
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• pp.75-84
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• 1997

The up-to-date fatigue strength assessment system for ship structures was developed based on the spectral analysis method and numerical calculation for a membrane type LNG carrier was carried out to verify the effectiveness of the developed system. The wave induced loads acting on the ship's hull were calculated based on strip theory. And introducing the concept of influence factor and 3-D fine mesh structural analysis, direct calculation of long-term distribution of wave induced stress components was realized. Using the derived long term distribution of stress components and Miner-Parmgren's linear damage accumulation rule, fatigue strength of structural components were investigated.

• 한국체육학회지인문사회과학편
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• v.51 no.5
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• pp.51-61
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• 2012

The purpose of this study is to survey fundamental limitations and problems of sports event hosting from the critical point of view and to set future-oriented perspective. The reason and legitimacy for hosting sports event have come from pragmatism based on ideological logic behind politics. Thus, the flow of advanced studies was mostly limited to the category of efficiency. However, there is fundamental limitation in sports even hosting in terms of its financial expectation and efficiency. Critical approach will contribute to minimizing side effects caused from blind acceptance through awakening dispassionate and realistic judgment. In addition, rational selection of sports even hosting can be achieved through interconnection of sports culturism's directivity as an advanced sense of sports culture, integrated perspective that penetrates problems of growth and distribution and local governance as apolitical philosophy, and of course, through concentration of energy.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.7A
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• pp.560-568
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• 2012

Spectrum sensing and spectrum decision are the main functions that cognitive radios (CRs) have to perform in order to get the best available spectrum band for the establishment of a wireless communication. These problems are worsened in the presence of users with different demands and spectrum channels with different properties in a heterogeneous network. The primary objective in this work is to design and simulate a new spectrum decision algorithm for heterogeneous cognitive radio system. To this end, first, we consider all cognitive users are separated into different traffic classes according to their Quality of Service (QoS). The cognitive users within one traffic class perform spectrum sensing in centralized group-based cooperative spectrum sensing system and the users of different traffic classes share the sensing results. Second, we propose a novel use of the Analytic Hierarchy Process (AHP) to optimally select available bands according to user requirements and detected spectrum channel characteristics (SCC). In this paper, utility function is used as spectrum decision algorithm. Simulation results demonstrate that the proposed method shows can effectively select the best available spectrum channels with a low complexity.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.143-143
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• 2012

일반적인 라만 분광 시스템은 회절 한계로 인해 공간 분해능이 떨어지며, 시료의 양이 적을 경우에 굉장히 미약하게 발생하는 라만 신호의 검출 감도가 떨어지는 단점이 있다. 본 연구에서는 이러한 문제점을 개선하기 위하여 tip-enhanced Raman spectroscopy (TERS)를 구축하였다. 구축한 TERS 시스템은 뾰족한 금속 탐침을 시료 위에 근접시켜 금속 탐침 내에 존재하는 전자와 여기 광 간의 플라즈몬 공명 현상에 의한 광 안테나 효과를 유도하여 라만 분광 시스템의 공간 분해능을 수십 나노미터 정도로 향상시켰으며, 기존의 라만 분광 시스템에서는 검출되지 않는 미약한 라만 신호를 검출할 수 있었다. 구축한 TERS 시스템을 이용하여 탄소나노튜브를 비롯한 다양한 반도체 시료의 라만 스펙트럼 및 라만이미지를 측정하였고, 금속 탐침이 시료위에 근접되지 않은 경우의 측정 결과와 라만 신호의 세기 및 라만 이미지의 공간 분해능을 비교하여 제안하는 TERS 시스템의 효용성을 검증하였다.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.41-53
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• 2015

In meteorological field, many researchers have tried to develop micro scale weather analysis modules for providing real-time weather information service in the metropolitan area. This effort enables us to cope with various economic and social harms coming from serious change in the micro meteorology of a metropolitan area due to rapid urbanization such as quantitative expansions in its urban activity, growth of population, and building concentration. The accuracy of the micro scale weather analysis modules (MSWAM) directly related to usefulness and quality of the real-time weather information service in the metropolitan area. This paper design a evaluation system along with verification tools that sufficiently accommodate spatio-temporal characteristics of the outputs of the MSWAM. For this we proposes a test for the equality of mean vectors of the output series of the MSWAM and corresponding observed time series by using a spectral analysis technique. As a byproduct, a time series cluster analysis method, using a function of the test statistic as the distance measure, is developed. A real data application is given to demonstrate the utility of the method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.6A
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• pp.666-675
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• 2008

The IEEE 802.22 standard is being developed with the target of improving the efficiency of spectrum utilization and importing the new wireless communication service. The WRAN standard based on Cognitive Radio is being processed for sharing TV bands. In this paper, the efficient spectrum allocation scheme and the optimal power allocation scheme, Partial Constant Power Water Filling (PCPWF), are proposed to maximize the channel capacity and spectrum efficiency and minimize the interference between adjacent cells. And we maximize the system throughput and fairness by using proposed dynamic cell plan that efficiently allocates channel. The results of the simulations are presented to verify the utilization of our proposed scheme.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.25-25
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• 2010

태양광 에너지는 인류의 미래 에너지로서 이미 그 효용성을 전 세계에 드러내고 있다. 각 나라마다 자국의 에너지 전략 및 일조량등 환경적 여건 또는 경제적 수준에 따라 다양한 에너지 수급의 양태를 띠고 있지만 향 후 한세대 내에 전세계 에너지의 30% 정도를 태양에너지로 공급받게 될 것으로 기대하고 있다. 이러한 추세 속에서 태양광 에너지의 방식도 여건에 따라 다양한 형태들이 상호 경쟁과 보완의 과정을 거치며 꾸준히 연구 개발되어오고 있다. 집광형 태양전지는 그 중에서 광전변환효율의 관점에서 41%라는 경이적인 기록을 가지고 있으며 매년 평균 1% 씩의 발전을 꾸준히 달성해 오고 있다. 특히 화합물반도체 태양전지의 경우 1900년대 후반부터 인공위성등의 에너지 모듈로 독자적인 시장을 형성하고 있었지만 경제성등의 이유로 지상 에너지의 대안으로 고려되지 못하고 있었으나 집광시 효율이 높아지는 특이현상과 다중접합을 통한 태양에너지 스펙트럼의 흡수영역 확대등을 통하여 총체적인 효율이 30%를 넘어서면서부터 서서히 대전력 에너지원으로 주목을 받기 시작하였다. 이러한 기술적 경쟁력에도 불구하고 전세계 태양전지 시장의 대부분은 단결정 실리콘 태양전지가 차지하고 있으며 박막형 태양전지 혹은 유기태양전지등 차세대 태양전지 또한 기존의 단결정 실리콘 태양전지를 기준으로 상대적인 가격경쟁력을 높이므로서 기존시장을 잠식하거나 신규시장을 통하여 점유율을 높이는 전략을 고려하고 있다. 본 세미나를 통하여 현재 화합물반도체 집광형 태양전지 시장을 살펴보고 시장 진입의 걸림돌에 대한 분석과 향 후 동향에 대하여 논의하도록 한다.

• The Journal of the Acoustical Society of Korea
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• v.38 no.1
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• pp.23-29
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• 2019

In this paper, a deep learning-based detection and classification using multi-band frequency signals is presented for detecting earthquakes prevalent in Korea. Based on an analysis of the previous earthquakes in Korea, it is observed that multi-band signals are appropriate for classifying earthquake signals. Therefore, in this paper, we propose a deep CNN (Convolutional Neural Network) using multi-band signals as training data. The proposed algorithm extracts the multi-band signals (Low/Medium/High frequency) by applying band pass filters to mel-spectrum of earthquake signals. Then, we construct three CNN architecture pipelines for extracting features and classifying the earthquake signals by a late fusion of the three CNNs. We validate effectiveness of the proposed method by performing various experiments for classifying the domestic earthquake signals detected in 2018.