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김강민(Kang-Min Kim),남기대(Nam-Ki Dae),이중우(Joong-woo Lee) 한국항해항만학회 2011 한국항해항만학회지 Vol.35 No.1
최근 추세에 따라 수치실험은 높은 해상도와 정확도를 요구하고 있다. 일반적으로 파랑장 계산은 광역모형을 도입하고, 주된 해석 대상 영역의 지형적 복잡성을 반영할 수 있는 적절한 분해능의 상세격자를 통해 내부의 상세역 모형을 구성하게 된다. 여기서, 세역에서의 입사파는 광역에서의 결과를 토대로 추출하게 되는데, 이 때 결과의 연속성에서 문제를 가지게 된다. 대체로 이러한 문제점을 극복하기 위하여 가변격자체계와 스펙트럼 추출 등의 방법을 사용하게 되지만 관련 수치적 오류에 대한 분석과 검토가 충분하지 않은 것으로 보인다. 따라서, 본 연구에서는 최근 가장 일반적으로 사용되고 있는 SWAN모형의 Nested 모형에 대한 현장 적용성을 확인하고자 한다. 이를 위하여 각기 다른 조석환경하에 있는 두 개의 항에 대한 실험을 실시하고 이에 대한 결과를 비교･분석하였다. 분석결과, Nested 모형으로 구성된 광역과 세역 경계에서의 추출된 값이 거의 동일한 값을 가지며 각기 다른 조석환경하에서의 결과 또한 다르지 않다는 것으로 나타났다. 그러나, Nested 모형의 경계를 구성시 수심의 변화가 심한 곳을 피하고 비교적 수심이 깊은 해역까지를 포함시키는 것이 오차를 줄일 수 있음을 확인하였다. The recent trend for numerical experiment requires more higher resolution and accuracy. Generally, in the wave field calculation, it starts with a large region formulation first and follows by a separated detailed region formulation by more denser grids for the main interest area considering the geographical and bathymetrical variation. The wave fields resulted from the large region calculation is being introduced into the detail region calculation as the incident waves. In this process there exists a problem of continuity. In order to get over such problem, method of variable gridding system or spectrum sampling, etc., is being used. However, it seems not enough to examine and analyze the related numerical errors. Therefore, it is investigated in this study the field applicability of the most pervasive use of wave model, the nested SWAN model. For this purpose, we made model experiment for two coastal harbours with different tidal environment, and compared and analyzed the result. From the analysis, it was found that both the extracted values, near the boundaries of the large and detail region and the nested formulation of SWAN model, show almost the same and no different between those with different tidal environment conditions. However it is necessary for reducing the numerical errors to set the boundaries for the detailed region outside of the rapid bathymetric change and deeper region.
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조용준 한말연구학회 2023 한말연구 Vol.64 No.34
. In this study, we address various aspects of Korean experimental syntax and explore potential avenues for future research. Within the complex realm of experimental syntax, we critically examine prior research outcomes related to the interaction between formal and informal methodologies. Unlike previous studies exemplified by Sprouse et al. (2013), existing findings suggest a lack of convergence between these two methods, particularly in the context of the Korean language. However, contrasting these results with the generally convergent outcomes observed in experimental studies conducted in English highlights the presence of cross-linguistic differences, warranting further investigation. Moving forward, we conduct a comparative analysis of disparities between expert and non-expert groups, finding similar non-convergence consistent with previous observations. In future research endeavors, empirical investigations will be necessary to pinpoint areas of divergence and unravel the underlying factors. Furthermore, a noticeable gap exists in empirical studies concerning grammaticality and acceptability within the Korean language. Despite this gap, the active exploration of the 'grammatical illusion' phenomenon prompts us to advocate for comprehensive research efforts in these domains specific to the Korean context. In parallel, recent advancements in artificial intelligence research have facilitated the availability of extensive corpora for acceptability judgments, offering essential benchmarks for evaluating the effectiveness of large-scale language models. A similar trend extends to the Korean language, exemplified by the introduction of the 'NIKL Grammaticality Judgment Corpus (2020).' Given their relevance to the enduring discourse on language acquisition, such initiatives are poised to persist. Moreover, following the release of ChatGPT's code interpreter, the lowered barriers to statistical processing have made experimental methodology more approachable, allowing for smoother engagement in experimental research and syntactic analysis. In conclusion, we anticipate a surge in experimental research, considering the advancements in AI and the improved accessibility to statistical methods. These developments are expected to contribute to the active development of experimental methodology in syntactic research.
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문기영,김석철,신구용,조경학,윤정임,황규석,길용식 한국풍공학회 2009 한국풍공학회지 Vol.13 No.3
Winds over a complex terrain were analyzed using wind tunnel and several computational fluid dynamics (CFD) models. A mountain area adjacent to a shoreline was chosen in a Southern Korea Peninsula for study. Two different CFD models were used for simulating flows: one is an FVM code with Virtual Boundary Method(VBM) using LES for sub-grid turbulence, and the other is a commercial package implemented with 4 different RANS (Reynolds Averaged Navier-Stokes Equations) turbulence models. The CFD simulations were compared with wind tunnel data at several locations where wind speeds were greatly enhanced or reduced due to the surrounding topographic features. The agreement between the CFD simulations and the wind tunnel experiments were good, the correlation coefficients ranging 0.890 ~ 0.965. The FVM code was excellent of which correlation coefficient was 0.965. 자연지형에 의한 기류 변화를 CFD 모델과 풍동실험을 통하여 비교 연구하였다. 해안에 인접한 남부 산악지형을 대상으로 풍동실험과 몇 종류의 CFD 모델 시뮬레이션을 수행하였다. 사용한 CFD 모델은 2 가지로, 하나는 LES 난류모델을 사용하는 가상경계기법을 활용한 유한체적법(Finite Volume Method, FVM) 코드와 또 하나는 4 가지 RANS 난류모델이 선택사양으로 제공되는 상업용 CFD 모델이다. 지형에 의해 풍속이 증가되는 지점과 감소되는 지점에서 수직풍속분포를 직접 비교하고 상관도를 구하였다. CFD 모델과 풍동실험과의 상관도()는 0.890 ~ 0.965로 매우 높게 나타났으며, CFD 모델 중 VBM LES CFD 모델은 상관도 0.965로 나타나 풍동실험을 가장 잘 모사하는 것으로 분석되었다.
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장갑식,안혜진,송기원,Chang, Gap-Shik,Ahn, Hye-Jin,Song, Ki-Won The Korean Fiber Society 2015 한국섬유공학회지 Vol.52 No.3
Using an Advanced Rheometric Expansion System (ARES), the dynamic viscoelastic behavior of aqueous poly(ethylene oxide) (PEO) solutions with various molecular weights and different concentrations has been investigated in large amplitude oscillatory shear (LAOS) flow fields over a wide range of strain amplitudes. In order to predict the nonlinear viscoelastic behavior of polymer liquids in strain-sweep experiments, a new analysis method including a simple empirical model was proposed and then its validity was thoroughly evaluated in this study. The results have shown that the suggested model is significant in 95% confidence level and predicts exactly the nonlinear viscoelastic behavior of polymer liquids over a whole range of strain amplitudes tested. The strain limits of linear viscoelastic response and nonlinear behavior indices were determined using this model to estimate the LAOS flow behavior in strain-sweep experiments. The master curves of strain limits and nonlinear behavior indices can be obtained by representing these data against the product of angular frequency by characteristic time. The LAOS flow behavior of polymer systems with various molecular weights and different concentrations can well be predicted from these master curves.
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개인화된 농업 AI 컴패니언 시스템을 위한 LLM 기반의 인터페이스 설계 및 구현 -RAG 모델과 LangChain 프레임워크 기반-
구정은,신승중 한국인터넷방송통신학회 2024 한국인터넷방송통신학회 논문지 Vol.24 No.6
현대 농업의 복잡성과 지속 가능성의 문제를 해결하고자, 본 연구는 대형 언어 모델(LLM)과 검색 증강 기법(RAG)을 결합한 AI 컴패니언 시스템(AI Companion)을 설계하고 이를 농업 분야에 적용하는 방안을 제시하고자 한다. LLM은 자연어 처리 능력을 기반으로 사용자와의 자연스러운 상호작용을 지원하며, RAG는 실시간 검색 및 외부 데이터통합을 통해 사용자에게 최신 정보와 맞춤형 솔루션을 제공하는 역할을 할 수 있다. 제안된 솔루션은 LLM과 RAG모델이 결합된 시스템으로, 농부의 최신 농업 기술과 같은 요구사항에 대한 빠른 대응력과 관련된 정보의 신뢰성을 갖추고있을 뿐만 아니라, 농부와의 상호작용을 통해 개인화된 경험을 제공함으로써 농부에게 단순 기계가 아니라 AI 컴패니언시스템으로써 정서적 교류를 주고받을 수 있는 존재의 역할을 할 수 있도록 인터페이스를 설계하고 구현하였다. This research proposes an AI Companion System integrating Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) techniques to address the complexity and sustainability challenges of modern agriculture. The LLM enables seamless natural language interaction, while RAG enhances the system with real-time data retrieval and integration, ensuring the delivery of precise, contextually relevant solutions. This integrated LLM-RAG system not only provides rapid responsiveness and dependable information on dynamic agricultural demands, such as advancements in technology, but also facilitates personalized, interactive experiences. By positioning the AI as an emotionally responsive companion, the system transcends traditional machine interfaces, fostering a more intuitive and supportive engagement with users.
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권오상,유용호,김흥열,김정현 한국방재학회 2012 한국방재학회논문집 Vol.12 No.6
The fire spread prevention in the buildings is designed to protect life and assets by prohibiting the fire spread to the adjacent space and, for this design, the outside through setting fire separations, and it is important to predict the accurate size of fire inside the unit separation. Therefore, in this paper, we have intended to select a office compartment from the building classification for use, and to propose HRR[Heat Release Rate], the engineering fire size, through the real fire experiment according to this. The fire experiment has been conducted with arranging real combustible substances and wood creep into the unit separation with 2.4(L)×3.6(W)×2.4(H) m size after analyzing fire load for the use of the buildings. The fire load of the office compartment is indicated as 19 kg/m2. In the result of the experiment, the fire experiment with real combustible substances and with wood creep are shown as 2681.7 kW/m2 and 2453.8 kW/m2, in separate. The fire size shown through these positive fire experiment can secure prediction of the fire spread of the buildings in further, and reliability on prevention designing. 건축물의 화재확대방지는 방화구획 설정을 통하여 인접 공간과 외부로의 화염의 확산을 억제를 통한 인명과 재산의 보호를위해 설계되며, 이러한 설계를 위해서는 단위 구획 내부의 화재모델을 정확히 예측하는 것이 가장 중요하다. 따라서 본 논문에서는 건축물 용도분류에서 업무공간을 선정하여 이에 따른 실물화재 실험을 통하여 공학적 화재크기인 HRR[Heat Release Rate]를 제시하고자 하였다. 화재실험은 건축물의 용도별 화재하중을 분석하여 내부의 실제 가연물 및 목재 크립을 2.4(L)×3.6(W)×2.4(H) m의 단위구획 내부에 배치하여 진행하였다. 업무시설의 화재하중은 19 kg/m2이며, 실험결과 실제 가연물을 배치한 화재실험은 2681.7 kW/m2, 목재크립을 배치한 화재실험은 2453.8 kW/m2로 나타났다. 이러한 실증적 화재실험을 통해 나타낸 화재크기는 향후 건축물의 화재확대 예측 및 방지 설계 시 신뢰도를 확보시킬 수 있을 것이다.
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Olivia Carey-De La Torre,Randy H. Ewoldt 한국유변학회 2018 Korea-Australia rheology journal Vol.30 No.1
We use first-harmonic MAOS nonlinearities from and to test a predictive structure-rheology model for a transient polymer network. Using experiments with PVA-Borax (polyvinyl alcohol cross-linked by sodium tetraborate (borax)) at 11 different compositions, the model is calibrated to first-harmonic MAOS data on a torque-controlled rheometer at a fixed frequency, and used to predict third-harmonic MAOS on a displacement controlled rheometer at a different frequency three times larger. The prediction matches experiments for decomposed MAOS measures [e3] and [v3] with median disagreement of 13% and 25%, respectively, across all 11 compositions tested. This supports the validity of this model, and demonstrates the value of using all four MAOS signatures to understand and test structure-rheology relations for complex fluids.
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