• 인지과학
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• 제23권2호
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• pp.249-267
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• 2012

본 연구에서는 구문 처리에서 운율 정보 활용이 작업 기억 용량의 영향을 받는지를 검증하였다. 구체적으로 작업 기억 용량이 운율 경계의 강도와 위치에 따른 관계절 부착 중의성 해소 방식 차이를 예측하는지를 알아보았다. 실험 결과, 작업 기억 폭이 큰 청자들의 중의성 해소 방식이 작업 기억 폭이 작은 청자들에 비해 운율 경계 강도의 영향을 더 받는 것으로 나타났다. 이는 다른 상위 수준 제약과 마찬가지로 운율 제약의 활용도 작업 기억과 같은 인지적 자원을 필요로 함을 시사한다.

• International Journal of Contents
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• 제10권4호
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• pp.30-37
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• 2014

The current study was conducted to examine the temporal and spatial activation sequences related to morphosyntactic, semantic and orthographic-lexical sentences, focusing on the morphological-orthographic and lexical-semantic deviation processes in Korean language processing. The Event-related Potentials (ERPs) of 15 healthy students were adopted to explore the processing of head-final critical words in a sentential plausibility task. Specifically, it was examined whether the ERP-pattern to orthographic-lexical violation might show linear precedence over other processes, or the presence of additivity across combined processing components. For the morphosyntactic violation, fronto-central LAN followed by P600 was found, while semantic violation elicited N400, as expected. Activation of P600 was distributed in the left frontal and central sites, while N400 appeared even in frontal sites other than the centro-parietal areas. Most importantly, the orthographic-lexical violation process revealed by earlier N2 with fronto-central activity was shown to be complexes of morphological and semantic functions from the same critical word. The present study suggests that there is a linear precedence over the morphological deviation and its lexical semantic processing based on the immediate possibility of lexical information, followed by sentential semantics. Finally, late syntactic integration processes were completed, showing different topographic activation in order of importance of ongoing sentential information.

• 가정과삶의질연구
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• 제27권4호
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• pp.19-30
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• 2009

The essence of family health is to make the family stronger, which can be found in the philosophy of coaching that focuses on the individual's own change and development. In this context, this study aims to develop a coaching educational program at the Healthy Family Support Center. The educational program, 'The Happiness Balloon in My Mind' consists of 4 sessions, which are 'Perceiving the Balloon', 'Making the Balloon', 'Blowing up the Balloon', and 'Flying the Balloon'. Through the questionnaires that included open and closed questions, the effectiveness of the program was evaluated. The educators replied that their expectation to the program was met and they were highly satisfied with the program. They reported that the program brought the a change in life, elly, in their own consciousness. Even though the program would need to adjust its level of difficulty and scheduling, the results suggest that coaching educational program showsits own plausibility to the Healthy Family Support Center.

• Bulletin of the Korean Chemical Society
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• 제30권9호
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• pp.2061-2065
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• 2009

Two simple algorithm modifications are made to the THRASH data retrieval program with the aim of improving analysis speed for complex Fourier transform ion cyclotron resonance (FTICR) mass spectra. Instead of calculating the least-squares fit for every charge state in the backup charge state determination algorithm, only some charge states are pre-selected based on the plausibility values obtained from the FT/Patterson analysis. Second, a modification is made to skip figure-of-merit (FOM) calculations in the central m/z region between two neighboring peaks in isotopic cluster distributions, in which signal intensities are negligible. These combined modifications result in a significant improvement in the analysis speed, which reduces analysis time as much as 50% for ubiquitin (8.6 kDa, 76 amino acids) FTICR MS and MS/MS spectra at the reliability (RL) value = 0.90 and five pre-selected charge states with minimal decreases in data analysis quality (Table 3).

• 한국해양공학회지
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• 제31권5호
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• pp.371-377
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• 2017

This paper introduces a simulation-based determination method for hydrodynamic derivatives and 6DOF (degrees-offreedom) motion analysis for an underwater vehicle. Hydrodynamic derivatives were derived from second-order modulus expansion and composed of the added mass, and linear and nonlinear damping coefficients. The added mass coefficients were analytically obtained using the potential theory. All of the linear and nonlinear damping coefficients were determined using CFD simulation, which were performed for various cases based on the actual operating condition. Then, the linear and nonlinear damping coefficients were determined by fitting the CFD results, which referred to 6DOF forces and moments acting on an underwater vehicle, with the least square method. To demonstrate the applicability of the current study, 6DOF simulations for three different scenarios (L-, U-, and S-turn) were carried out, and the results were validated on the basis of physical plausibility.

• 펄프종이기술
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• 제48권2호
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• pp.28-33
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• 2016

This study was conducted to investigate the effects of deep eutectic solvent (DES) treatment on properties of TMP fibers and handsheets. DES was prepared by mixing of lactic acid and betaine (L and B), and the molar ratio of these two components mixtures was controlled to 2:1 (L:B=2:1) and 5:1 (L:B=5:1). As results, lignin was partly extracted from the TMP fibers. Especially, the delignification of TMP samples was promoted according to the increase of the molar ratio of lactic acid. Except for tear index, both tensile index and burst index of handsheets were increased when higher molar ratio of lactic acid was mixed for DES preparation. However, the LB DES treatment of TMP fibers didn't give any effect on the optical properties of TMP handsheets. The plausibility of TMP fiber was to be enhanced by LB DES treatment.

• 한국게임학회 논문지
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• 제2권2호
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• pp.37-45
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• 2002

컴퓨터 게임은 실세계에 대한 시뮬레이션으로 간주되어질 수 있다. 소프트웨어 에이젼트의 제어 문제는 인공지능 분야에서 오랫동안 연구되어져 왔으며, 이는 행동기반 접근법이라는 것을 내놓았다. 인공지능 분야에서는 지금까지 크게 세 가지의 접근법을 볼 수 있다. 인지주의는 기호의 형태로 지능이 표현되어질 수 있고 다루어질 수 있다는 것을 제안하였으며, 연결주의에서는 표현이 신체 구조에 내포되어있어서 신체로부터 분리되어질 수 없음이 강조되었다. 행동기반 접근법에서는 인공지능은 동적인 성질을 가져서 어디서든지 존재하지 않는 대신에 에이젼트가 환경에서 행동할 때 비로소 우러나오는 성질을 가진 것으로 제시된다. 본 논문에서는 이러한 세 가지의 접근법을 비교하고 행동기반 접근법의 타당성과 문제점 에 대하여 논한다. 본 논문은 또한 행동기반 접근법의 컴퓨터 게임의 에이젼트 제어에 대한 활용을 제안한다.

• 한국게임학회 논문지
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• 제9권5호
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• pp.95-104
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• 2009

최근 게임이나 시뮬레이터 개발에 있어서 물리기반 시뮬레이션을 통해 사실성을 높인 고품질의 3D 콘텐츠를 개발하고자하는 사례가 많아지고 있다. 본 논문에서는 오픈소스 물리엔진인 ODE를 이용하여 중량물을 취급하는 천장크레인 시뮬레이터의 개발하는 방법을 제안하였다. 그리고 상용 천장크레인 시뮬레이터와의 물리적 특성 비교분석을 통해 오픈소스 물리엔진으로도 사실성 높은 훈련용 시뮬레이터 개발이 충분히 가능하다는 것을 확인하였다. 본 논문에서 제안한 천장크레인 시뮬레이터는 학교 등의 공공기관에서 교육용이나 훈련용으로 충분히 활용할 수 있을 것으로 예상된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전기물성,응용부문
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• pp.96-99
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• 2005

In this study, we build system and techniques of evaluating the interruption performance of the GCB with experimental method. We constructed a simplified synthetic test circuit of which ability is up to 245kV, 50kA BTF test. And We composed a model test circuit breaker with puffer assisted self blasting type GCB. With this circuit breaker, we carried out the experiment of no load and SLF90. During the tests, we measured the several factors such as stroke, pressure, arc temperature, the voltage and current near the current zero and dI/dt, dV/dt. Arc conductivity before 200ns before current zero which is one of the indexes of the thermal recovery of a GCB was measured. With these kinds of measurement, we could estimate the performance of a GCB fundamentally. Futhermore these results were used to adjust the arc modeling with CFD(computational fluid dynamics) and we could increase the plausibility of the analytical method.

• 대한원격탐사학회지
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• 제28권6호
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• pp.611-622
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• 2012

This study proposed two multisensor fusion methods for segment-based image classification utilizing a region-growing segmentation. The proposed algorithms employ a Gaussian-PDF measure and an evidential measure respectively. In remote sensing application, segment-based approaches are used to extract more explicit information on spatial structure compared to pixel-based methods. Data from a single sensor may be insufficient to provide accurate description of a ground scene in image classification. Due to the redundant and complementary nature of multisensor data, a combination of information from multiple sensors can make reduce classification error rate. The Gaussian-PDF method defines a regional measure as the PDF average of pixels belonging to the region, and assigns a region into a class associated with the maximum of regional measure. The evidential fusion method uses two measures of plausibility and belief, which are derived from a mass function of the Beta distribution for the basic probability assignment of every hypothesis about region classes. The proposed methods were applied to the SPOT XS and ENVISAT data, which were acquired over Iksan area of of Korean peninsula. The experiment results showed that the segment-based method of evidential measure is greatly effective on improving the classification via multisensor fusion.