• Fire Science and Engineering
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• v.26 no.1
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• pp.89-95
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• 2012

In this study, we were manufactured wood flour-HDPE composites by modular co-rotating twin screw extruder with L/D ratio of 42. We was measured cone calorimeter test and thermogravimetric analysis (TGA) to find the combustion characteristics and thermal properties for wood flour-HDPE composites. We then evaluated the effect of three additive-type flame retardants on fire resistance performance. The cone calorimeter test showed that the heat release rate (HRR) of untreated composites was the highest Peak HRR ($446.6kW/m^2$) as well as Mean HRR ($185.5kW/m^2$). From the TGA, it was shown that composites added flame retardants began early thermal decomposition and improved thermal stability.

• Journal of the Korean Solar Energy Society
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• v.24 no.2
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• pp.73-81
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• 2004

태양열의 이용에 있어 직접접촉식 열교환기(DCHX)는 여러 가지 잇점을 제공한다. 그중에서도 제일 부각되는 것은 폐쇄형 열교환기의 대체에 다른 경비 절약과 작은 온도차에서도 열교환이 가능한 뛰어난 열성능일 것이다. 본 연구는 액-액 타입의 직접접촉식 열교환기에 대한 열성능 실측을 통하여 직접 접촉 열교환에 대한 이해를 증진하고 아울러 태양열에의 적용성을 평가하고자 하였다. 실측 시스템은 집열기와 펌프 그리고 직접접촉식 열교환기로 구성되어 있는데 작동유체의 종류에 따라 서로 다른 두 가지 방법에 의해 열교환기 내로 유입되도록 하였다. 작동유체로는 Texatherm 46과 물이 사용되었는데 이는 이들 유체가 서로 전이지 않고 높은 온도$(<150^{\circ})$에서도 화학적으로도 안전하며 열적으로도 비교적 양호한 성능을 가지고 있기 때문이다 본 연구는 실측을 통해 열교환기 내에서의 미미한 열성층화 현상에 대한 메카니즘을 확인하였으며 아울러 열교환기의 작동유체에 따라 작동의 안정성과 열적 성능(11% 차이)이 다르게 나타날 수 있음을 보여주고 있다.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.129-132
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• 2015

본 논문에서는 단어열 패턴과 리커런트 신경망을 이용한 하이브리드 음성 인식 오류 수정 방법을 제안한다. 음성 인식 결과 문장에서 음성 인식 오류 단어가 발견되었을 경우에 첫째로 단어열 패턴과 그 패턴의 발음열 점수를 통해 1차적 수정을 하고 적절한 패턴을 찾지 못하였을 경우 음절단위로 구성된 Recurrent Neural Network를 통해 단어를 음절단위로 생성하여 2차적으로 오류를 수정한다. 해당 방법론을 한국어로 된 음성 인식 오류와 그 정답 문장으로 구성된 TV 가이드 영역 말뭉치를 바탕으로 성능을 평가하였고, 기존의 단순 단어열 패턴 기반의 음성 인식 오류 수정보다 성능이 향상되었음을 볼 수 있었다. 이 방법론은 음성 인식 오류와 정답의 말뭉치가 필요 없이 옳은 문장으로만 구성된 일반 말뭉치만으로 훈련이 가능하여, 음성 인식 엔진에 의존적이지 않는 강점이 있다.

• The Korean Journal of Applied Statistics
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• v.37 no.3
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• pp.297-309
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• 2024

This paper evaluates the performance of the neural network autoregressive model combined with an exponential smoothing model, called the NNARX+ETS model. The combined model utilizes the components of ETS as exogenous variables for NNARX, to forecast time series data using artificial neural networks. The main idea is to enhance the performance of NNAR using only lags of the original time series data, by combining traditional time series analysis methods with the neural networks through NNARX. We employ two real data for performance evaluation and compare the NNARX+ETS with NNAR and traditional time series analysis methods such as ETS and ARIMA (autoregressive integrated moving average) models.

• Journal of the Korean Wood Science and Technology
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• v.23 no.3
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• pp.48-57
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• 1995

본 연구에서는 경골 목조 주택 (2${\times}$4 주택, 2${\times}$6 주택), 통나무 주택 및 콘크리트 주택(내단열, 중단열, 외단열) 벽체에 대하여 유한 요소 해석으로 단열 성능을 평가하였고, 표면 결로 현상을 분석하여 다음과 같은 결론을 얻었다. 1. 벽체의 단열 성능은 정량 골조 2${\times}$6를 사용한 주택이 가장 우수하였고, 경량 골조 2${\times}$4 주택, 통나무 주택, 콘크리트 주택의 순으로 감소하는 것으로 나타났다. 2. 콘크리트 벽체의 내단열, 중단열, 외단열의 벽체 구성법에 따른 단열 성능의 차이는 없었으며, 콘크리트 주택에서 단열재의 사용이 필수적이었다. 3. 내부 결로의 경우 콘크리트 벽체의 외단열이 가장 우수한 결로 예방성을 보였다. 이는 외부에 설치된 단열층이 외부의 낮은 온도를 차단해 벽체 전체의 온도를 높게 유지하기 때문이었다. 표면 결로는 모든 벽체에서 나타나지 않았지만, 실내 습도가 높아진다면 콘크리트 주택의 벽체에서 발생할 가능성이 가장 높았다. 본 연구는 벽체내의 단열 성능에 관하여만 분석을 하였고, 열전달 외에 축열성능 등에 관한 고려는 하지 않았으므로 추후에는 여러 가지 복합적인 열적 성능에 관한 연구가 수행되어야 하리라고 생각한다.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.10
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• pp.881-887
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• 2014

Micro-sized Peltier coolers are generally employed for uniformly distributing heat generated in the multi-chip packages. These coolers are commonly classified into vertical and planar devices, depending on the heat flow direction and the arrangement of thermoelectric materials on the used substrate. Owing to the strong need for evaluation of performance of thermoelectric modules, at present an establishment of proper theoretical model has been highly required. The design theory for micro-sized thermoelectric cooler should be considered with contact resistance. Cooling performance of these modules was significantly affected by their contact resistance such as electrical and thermal junction. In this paper, we introduce the useful and optimal design model of small dimension thermoelectric module.

• Tunnel and Underground Space
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• v.24 no.3
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• pp.201-211
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• 2014

In the present study, the thermal performance of multiple rock caverns for large-scale thermal energy storage (TES) was numerically investigated for different separation distances between the caverns through heat transfer analysis using a computational fluid dynamics code, FLUENT. The thermal performance of multiple caverns was assessed in terms of the thermal stratification within the caverns and the heat loss to the surroundings, and the heating characteristics of the rock around the caverns were investigated. The results of numerical simulation showed that there was little difference in thermal performance between multiple TES caverns with different separation distances when the surrounding rock was less heated and it reached thermal steady-state, which represent the thermal states of the surrounding rock at the early and long-term operational stages of the TES caverns, respectively. However, as the separation distance decreased, the rock between the caverns reached thermal steady-state more quickly, and thus the heat loss from the caverns tended to converge rapidly to the value of heat loss occurred under thermal steady-state conditions in the surrounding rock. This result implies that the operating cost of heating the surrounding rock (i.e., rock heating) can be reduced with a reduction in the separation distance between multiple caverns, and suggests that the separation distance should be determined by considering the operating cost of rock heating as well as the construction cost of the caverns.

• Journal of KIISE:Databases
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• v.33 no.2
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• pp.201-213
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• 2006

A time-series database is a set of time-series data sequences, each of which is a list of changing values of the object in a given period of time. Subsequence matching is an operation that searches for such data subsequences whose changing patterns are similar to a query sequence from a time-series database. This paper addresses a performance issue of time-series subsequence matching. First, we quantitatively examine the performance degradation caused by the window size effect, and then show that the performance of subsequence matching with a single index is not satisfactory in real applications. We argue that index interpolation is fairly useful to resolve this problem. The index interpolation performs subsequence matching by selecting the most appropriate one from multiple indexes built on windows of their inherent sizes. For index interpolation, we first decide the sites of windows for multiple indexes to be built. In this paper, we solve the problem of selecting optimal window sizes in the perspective of physical database design. For this, given a set of query sequences to be peformed in a target time-series database and a set of window sizes for building multiple indexes, we devise a formula that estimates the cost of all the subsequence matchings. Based on this formula, we propose an algorithm that determines the optimal window sizes for maximizing the performance of entire subsequence matchings. We formally Prove the optimality as well as the effectiveness of the algorithm. Finally, we perform a series of extensive experiments with a real-life stock data set and a large volume of a synthetic data set. The results reveal that the proposed approach improves the previous one by 1.5 to 7.8 times.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.2
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• pp.175-186
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• 2023

The buffer materials in disposal hole are exposed to the decay heat from spent nuclear fuels and groundwater inflow through adjacent rockmass. Since understanding of thermal-hydro-mechanical-chemical (T-H-M-C) interaction in buffer material is crucial for predicting their long-term performance and safety of disposal repository, it is necessary to investigate the heating-hydration characteristics and consequent T-H-M-C behavior of the buffer materials under disposal conditions considering geochemical factors. In response, the Korea Atomic Energy Research Institute developed a laboratory-scale 'Lab.THMC' experiment system, which characterizes the T-H-M behavior of buffer materials under different geochemical conditions by analyzing heating-hydration process and stress changes. This technical report introduces the detail design of the Lab.THMC system, summarizes preliminary experimental results, and outlines future research plans.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.15 no.4
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• pp.303-310
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• 1986