• 경영과학
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• 제32권4호
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• pp.109-133
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• 2015

This paper considers the allocation and engagement scheduling of air defense missiles by using MIP (mixed integer programming). Specifically, it focuses on developing a realistic MIP model for a real battle situation where multiple enemy missiles are headed toward valuable defended assets and there exist multiple air defense missiles to counteract the threats. In addition to the conventional objective such as the minimization of surviving target value, the maximization of total intercept altitude is introduced as a new objective. The intercept altitude of incoming missiles is important in order to minimize damages from debris of the intercepted missiles and moreover it can be critical if the enemy warhead contains an atomic or chemical bomb. The concept of so called the time window is used to model the engagement situation and a continuous time is assumed for flying times of the both missiles. Lastly, the model is extended to simulate the situation where the guidance radar, which guides a defense missile to its target, has the maximum guidance capacity. The initial mathematical model developed contains several non-linear constraints and a non-linear objective function. Hence, the linearization of those terms is performed before it is solved by a commercially available software. Then to thoroughly examine the MIP model, the model is empirically evaluated with several test problems. Specifically, the models with different objective functions are compared and several battle scenarios are generated to evaluate performance of the models including the extended one. The results indicate that the new model consistently presents better and more realistic results than the compared models.

• 한국군사과학기술학회지
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• 제15권6호
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• pp.754-760
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• 2012

To improve the efficiency and economics of national defence, the needs for defence M&S systems are greatly increased, but the lack of interoperability and reusability lowers the level of reliability in the existing simulations models. Recently, many research activities have been performed and some conceptual models, such as CMMS, DCMF, and KAMA, were introduced. However, these models don't support the whole process of defence M&S system development nor provide integrated domain knowledge and up-to-date data. In this paper, we analyzed the analysts' guidances and doctrines, which are the basic ingredients for the simulation system development, and proposed a systematic structure for all the defence M&S stakeholders to share the standardized domain knowledge, modeling algorithm and data. This will be a logical bridge between Mission Space and Simulation Space, and provide substantial data sets to build simulation systems.

• 디지털융복합연구
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• 제12권5호
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• pp.139-148
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• 2014

최근에는 모수(Parametric) 추정방법을 적용한 전산모델들이 개발되어 비용분석을 보다 효율적으로 예측할 수 있는 용도로 사용되고 있는 추세이다. 본 연구에서는 유도무기체계 분야 중 유도조종장치에 대한 데이터 경험치를 활용하여 공학적 추정 방법과 상용전산모델(Price H, HL, M, S)의 비용분석을 수행하고, 그 결과를 분석하여 차이점과 원인을 파악하였다. 전산모델의 수치적 데이터로 살펴 본 바에 따르면 유사장비 데이터베이스와의 비교 값을 근거로 하여 보정된 결과 값을 도출한 후, 공학적 추정방법으로 산정된 금액과 비교결과 근사한 수치를 보여 보정작업을 통한 데이터의 신뢰도가 향상됨을 알 수 있었다. 본 연구에서 개발비 추정 시, 많은 부분을 불확실한 요소에서 추정하였으나, 객관성을 확보할 수 있는 전산모델을 선택하여 사례를 연구함으로서 신뢰성을 높일 수 있었다. 이는 기존의 축적된 개발비 데이터에 근거하여 변수를 중심으로 한 추정방법을 기초로 합리적인 추정방법으로도 활용할 수 있음을 비용분석의 전산모델 보정(Calibration)을 통하여 밝혀냄으로써 보다 효율적인 비용 예측 기능에 일조할 것으로 사료된다.

• 한국과학교육학회지
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• 제27권2호
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• pp.153-167
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• 2007

In this study, it is assumed that understanding the nature of science (NOS) would enhance students' performance of scientific inquiry in more authentic ways. The ultimate goal of this study is to suggest new models for developing scientific inquiry activities through understanding the NOS by linking the NOS with scientific inquiry. First, the various definitions and statements of the NOS are summarized, then the features of the developmental nature of scientific knowledge and the nature of scientific thinking based on the philosophy of science are reviewed, and finally a synthetic list of the elements of the NOS is proposed, consisting of three categories: the nature of scientific knowledge, the nature of scientific inquiry, and the nature of scientific thinking. This suggested synthetic list of the NOS is used to suggest a model of scientific inquiry through the understanding of the NOS. This list was designed to provide basic standards regarding the NOS as well as practical guidance for designing activities to improve students' understanding of the NOS.

• Korean Journal of Radiology
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• 제25권2호
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• pp.126-133
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• 2024

Large language models (LLMs) have revolutionized the global landscape of technology beyond natural language processing. Owing to their extensive pre-training on vast datasets, contemporary LLMs can handle tasks ranging from general functionalities to domain-specific areas, such as radiology, without additional fine-tuning. General-purpose chatbots based on LLMs can optimize the efficiency of radiologists in terms of their professional work and research endeavors. Importantly, these LLMs are on a trajectory of rapid evolution, wherein challenges such as "hallucination," high training cost, and efficiency issues are addressed, along with the inclusion of multimodal inputs. In this review, we aim to offer conceptual knowledge and actionable guidance to radiologists interested in utilizing LLMs through a succinct overview of the topic and a summary of radiology-specific aspects, from the beginning to potential future directions.

• Journal of Advanced Research in Ocean Engineering
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• 제1권4호
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• pp.211-226
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• 2015

Membrane type Mark III cargo containment system (CCS) is considered in this study to investigate its strength capability under applied loads due to liquefied natural gas (LNG) cargo. A rectangular plated structure supported by inner hull structure is exemplified from Mark III CCS according to classification society's guidance and it is assumed as multi-layered structure by stacking plywood, triplex, reinforced polyurethane (PU) foam and series of mastic upon inner hull structure. Commercially available general purpose finite element analysis package is used to have reliable FE models of Mark III CCS plate. The FE models and anisotropic failure criteria such as maximum stress, Hoffman, Hill, Tsai-Wu and Hashin taking into account the direction dependent material properties of Mark III CCS plate components and their material properties considering a wide variation of temperature due to the nature of LNG together form the strength analysis procedure of Mark III CCS plate. Strength capability of Mark III CCS plate is understood by its initial failure and post-initial failure states. Results are represented in terms of failure loads and locations when initial failure and post-initial failures are occurred respectively. From the results the basic design information of Mark III CCS plate is given.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권12호
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• pp.4275-4291
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• 2021

With the unprecedented growth of textual information on the Internet, an efficient automatic summarization system has become an urgent need. Recently, the neural network models based on the encoder-decoder with an attention mechanism have demonstrated powerful capabilities in the sentence summarization task. However, for paragraphs or longer document summarization, these models fail to mine the core information in the input text, which leads to information loss and repetitions. In this paper, we propose an abstractive document summarization method by applying guidance signals of key sentences to the encoder based on the hierarchical encoder-decoder architecture, denoted as KI-HABS. Specifically, we first train an extractor to extract key sentences in the input document by the hierarchical bidirectional GRU. Then, we encode the key sentences to the key information representation in the sentence level. Finally, we adopt key information representation guided selective encoding strategies to filter source information, which establishes a connection between the key sentences and the document. We use the CNN/Daily Mail and Gigaword datasets to evaluate our model. The experimental results demonstrate that our method generates more informative and concise summaries, achieving better performance than the competitive models.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권2호
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• pp.438-455
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• 2024

Recently, many unsupervised learning-based models have emerged for Just Noticeable Difference (JND) estimation, demonstrating remarkable improvements in accuracy. However, these models suffer from a significant drawback is that their heavy reliance on handcrafted priors for guidance. This restricts the information for estimating JND simply extracted from regions that are highly related to handcrafted priors, while information from the rest of the regions is disregarded, thus limiting the accuracy of JND estimation. To address such issue, on the one hand, we extract the information for estimating JND in an Adversarial Complementary Learning (ACoL) way and propose an ACoL-JND network to estimate the JND by comprehensively considering the handcrafted priors-related regions and non-related regions. On the other hand, to make the handcrafted priors richer, we take two additional priors that are highly related to JND modeling into account, i.e., Patterned Masking (PM) and Contrast Masking (CM). Experimental results demonstrate that our proposed model outperforms the existing JND models and achieves state-of-the-art performance in both subjective viewing tests and objective metrics assessments.

• 한국항만경제학회지
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• 제39권1호
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• pp.17-34
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• 2023

통칭하여 "2D"라고 하는 디지털화 및 탈탄소화로 인해 해양 산업이 크게 변화하고 있다. 본 연구는 이러한 변화가 산업의 비즈니스모델에 어떤 영향을 미치고 있는지를 탐구하는 것이다. 이러한 변화는 여전히 진행 중이기 때문에 실제 사례연구에 의존하기보다는 비즈니스모델을 도출하기 위해 인지적 접근 방식을 사용했다. 본 연구에서는 문헌조사를 통해 4차산업혁명의 주요 비즈니스 모델 프레임워크를 도출하며, 이를 바탕으로 해양산업 유형별 비즈니스 모델과 각 모델별 최신 동향을 제시한다. 연구 결과는 해양 산업의 상업적, 기술적 분야를 포함하여 다양한 분야에서 새로운 비즈니즈모델이 등장하고 있음을 보여준다. 본 연구는 향후 학계의 사례기반 연구를 활성화하고, 해양산업 분야의 시장참여자나 정책입안자에게 전략적 지침을 제공할 수 있는 선구적인 연구로서 의의가 있다.

• Wind and Structures
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• 제36권3호
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• pp.161-174
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• 2023

The analytical model of tornado vortices plays an essential role in tornado wind description and tornado-resistant design of civil structures. However, there is still a lack of guidance for the selection and application of tornado analytical models since they are different from each other. For single-cell tornado vortices, this study conducts a comparative study on the velocity characteristics of the analytical models based on numerically simulated tornado-like vortices (TLV). The single-cell stage TLV is first generated by Large-eddy simulations (LES). The spatial distribution of the three-dimensional mean velocity of the typical analytical tornado models is then investigated by comparison to the TLV with different swirl ratios. Finally, key parameters are given as functions of swirl ratio for the direct application of analytical tornado models to generate full-scale tornado wind field. Results show that the height of the maximum radial mean velocity is more appropriate to be defined as the boundary layer thickness of the TLV than the height of the maximum tangential mean velocity. The TLV velocity within the boundary layer can be well estimated by the analytical model. Simple fitted results show that the full-scale maximum radial and tangential mean velocity increase linearly with the swirl ratio, while the radius and height corresponding to the position of these two velocities decrease non-linearly with the swirl ratio.