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텍스트 마이닝에서 심층 신경망을 이용한 문서 분류 (Document classification using a deep neural network in text mining)

  • 이보희;이수진;최용석
    • 응용통계연구
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    • 제33권5호
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    • pp.615-625
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    • 2020
  • 문서-용어 빈도행렬은 그룹정보가 존재하는 문서들의 용어를 추출한 것으로 일반적인 텍스트 마이닝에서의 자료이다. 본 연구에서는 연구 분야 성격에 따른 문서 분류를 위해 문서-용어 빈도행렬을 생성하고, 전통적인 용어 가중치 함수인 TF-IDF와 최근 잘 알려진 용어 가중치 함수인 TF-IGM을 적용하였다. 또 용어 가중치가 적용된 문서-용어 가중행렬에 문서분류 정확도 향상을 위해 핵심어를 추출하여 문서-핵심어 가중행렬을 생성하였다. 핵심어가 추출된 행렬을 바탕으로, 심층 신경망을 이용해 문서를 분류하였다. 심층 신경망에서 최적의 모델을 찾기 위해 매개변수인 은닉층과 은닉노드수를 변화해가며 문서 분류 정확도를 확인하였다. 그 결과 8개의 은닉층을 가진 심층 신경망 모델이 가장 높은 정확도를 보였으며 매개변수 변화에 따른 모든 TF-IGM 문서 분류 정확도가 TF-IDF 문서 분류 정확도보다 높은 것을 확인하였다. 또한 개별 범주에 대한 문서 분류 분석 결과를 서포트 벡터 머신과 비교했을 때 심층 신경망이 대부분의 결과에서 더 좋은 정확도를 보임을 확인하였다.

산업폐기물(굴패각)을 혼입한 콘크리트의 장기성능 평가 (Evaluation of Long-Term Performance of Concrete Blended with Industrial Waste(Oyster Shell))

  • 김학모;양은익;이성태;정용일;최중철
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2002년도 가을 학술발표회 논문집
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    • pp.227-232
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    • 2002
  • To evaluate the practical application of oyster shells as construction materials, an experimental study was performed. More specifically, the long-term mechanical properties and durability of concrete blended with oyster shells were investigated. Test results indicate that long-term strength of concrete blended with 10% oyster shells is almost identical to that of normal concrete. However, the long-term strength of concrete blended with 20% oyster shells Is appreciably lower than that of normal concrete. 1'hereby, concrete with higher oyster shell has the possibility giving a bad influence on the concrete long-term strength. Elastic modulus of concrete blended with crushed oyster shells decreases as the blending mixture ratio increases. Namely, the modulus is reduced by approximately 10∼15% when oyster shells are blended up to 20% replacing the fine aggregate. The drying shrinkage strain increases as the blending ratio increases. In addition, the existing model code of drying shrinkage does not coincide with the test results of this study. An adequate prediction equation needs to be developed. The utilization of oyster shells as the fine aggregate in concrete has an insignificant effect on freezing and thawing resistance, carbonation and sulfuric acid attack of concrete recycling. However, water permeability is considerably improved.

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발산형 바닥 경사 생성항의 재검토와 체적-수위 관계의 수정 (Review on the divergence form for bed slope source term and correction of the volume/free-surface relationship)

  • 황승용
    • 한국수자원학회논문집
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    • 제50권5호
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    • pp.289-302
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    • 2017
  • 발산형 바닥 경사 생성항(DFB, Divergence Form for Bed slope source term)을 엄밀하게 유도하였으며, DFB 중에서 격자의 변에서 평균 수심을 이용하는 mDFB의 오차를 명백하게 입증하였다. 또한, DFB 기법은 바닥 경사 생성항에 대해 정확한 방법임을 밝혔다. 완전히 잠기기 않은 격자에 대한 기존의 체적-수심 관계의 오류를 수정하였으며, C-특성의 충족을 위해 완전히 잠기지 않은 변에 대한 처리가 필요함을 검토하였다. 이 연구를 통해 근사 Riemann 해법으로 천수방정식을 해석할 때 보다 정확한 수단을 제공할 수 있을 것으로 기대한다.

과압밀 및 정규압밀영역의 응력상태에 따른 부산점토 장기압밀특성 (Long-term Consolidation Characteristics of Busan Clay considering OC or NC States)

  • 김윤태;조상찬
    • 한국해양공학회지
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    • 제25권6호
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    • pp.110-115
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    • 2011
  • Numerouslong-term consolidation and secondary compression settlements may occur in Busan clay, which is astructured soft clay and consists of a thick clay deposit. As a surcharge load is applied to soils, soils experience different stress paths with depth. Therefore, it is necessary to study the long-term consolidation behavior of Busan clay considering stress conditions such as OC or NC states. In this study, a series of long-term consolidation tests were performed to investigate the consolidation characteristics of Busan clay for 20 days. The undisturbed clay samples were taken from 3 sites located in the Nakdong River estuary. The results showed that the creep rate of the Busan clay gradually decreased with time, which indicated that the secondary compression settlement decreased with time. In addition, the experimental results for 3 samples showed that the ratios were about 0.0363 and 0.051, respectively.

A New Approach to Short-term Price Forecast Strategy with an Artificial Neural Network Approach: Application to the Nord Pool

  • Kim, Mun-Kyeom
    • Journal of Electrical Engineering and Technology
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    • 제10권4호
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    • pp.1480-1491
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    • 2015
  • In new deregulated electricity market, short-term price forecasting is key information for all market players. A better forecast of market-clearing price (MCP) helps market participants to strategically set up their bidding strategies for energy markets in the short-term. This paper presents a new prediction strategy to improve the need for more accurate short-term price forecasting tool at spot market using an artificial neural networks (ANNs). To build the forecasting ANN model, a three-layered feedforward neural network trained by the improved Levenberg-marquardt (LM) algorithm is used to forecast the locational marginal prices (LMPs). To accurately predict LMPs, actual power generation and load are considered as the input sets, and then the difference is used to predict price differences in the spot market. The proposed ANN model generalizes the relationship between the LMP in each area and the unconstrained MCP during the same period of time. The LMP calculation is iterated so that the capacity between the areas is maximized and the mechanism itself helps to relieve grid congestion. The addition of flow between the areas gives the LMPs a new equilibrium point, which is balanced when taking the transfer capacity into account, LMP forecasting is then possible. The proposed forecasting strategy is tested on the spot market of the Nord Pool. The validity, the efficiency, and effectiveness of the proposed approach are shown by comparing with time-series models

"표준국어대사전"을 이용한 시소러스 구축 (Construction of Thesaurus Using "The Korean Standard Dictionary")

  • 한상길
    • 한국도서관정보학회지
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    • 제44권4호
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    • pp.233-254
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    • 2013
  • 시소러스 작성에 있어서 가장 현실적인 어려움은 용어의 수집에 있다. 용어사전 뿐만 아니라 어휘사전도 시소러스의 중요한 용어 수집원으로 사용될 수 있다. "표준국어대사전"은 어문 규정을 충실히 반영한 우리나라의 대표사전이다. 또한 "표준국어대사전"은 단순히 표제어에 대한 용어 정의뿐만 아니라 해당 용어에 대한 다양한 정보를 체계적으로 담고 있기 때문에, 이를 시소러스 사전 구축에 활용할 수 있을 것이다. 본 연구는 "표준국어대사전"이 갖고 있는 다양한 용어관계 정보를 시소러스 용어관계로 정의하는 방안을 모색하였다. 또한 용어의 분리, 동등관계와 계층관계의 설정, 한정어의 사용, 북한어 관계 등 시소러스 구축에서의 문제점과 해결 방안을 제시한다.

원전 냉각수 취수용 지중매설 GFRP관의 구조적 거동 조사 (An Investigation of Structural Behavior of Underground Buried GFRP Pipe in Cooling Water Intake for the Nuclear Power Plant)

  • 이형규;박준석
    • 복합신소재구조학회 논문집
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    • 제6권2호
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    • pp.91-96
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    • 2015
  • GRP pipe (Glass-fiber Reinforced Plastic Pipe) lines making use of FRP (Fiber Reinforced Plastic) are generally thinner, lighter, and stronger than the existing concrete or steel pipe lines, and it is excellent in stiffness/strength per unit weight. In this study, we present the result of field test for buried GRP pipes with large diameter(2,400mm). The vertical and horizontal ring deflections are measured for 387 days. The short-term deflection measured by the field test is compared with the result predicted by the Iowa formula. In addition, the long-term ring deflection is predicted by using the procedure suggested in ASTM D 5365(ANNEX) in the range of 40 to 60 years of service life of the pipe based on the experimental results. From the study, it was found that the long-term vertical and horizontal ring deflection up to 60 years is less than the 5% ring deflection limitation.

A Short-Term Prediction Method of the IGS RTS Clock Correction by using LSTM Network

  • Kim, Mingyu;Kim, Jeongrae
    • Journal of Positioning, Navigation, and Timing
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    • 제8권4호
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    • pp.209-214
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    • 2019
  • Precise point positioning (PPP) requires precise orbit and clock products. International GNSS service (IGS) real-time service (RTS) data can be used in real-time for PPP, but it may not be possible to receive these corrections for a short time due to internet or hardware failure. In addition, the time required for IGS to combine RTS data from each analysis center results in a delay of about 30 seconds for the RTS data. Short-term orbit prediction can be possible because it includes the rate of correction, but the clock correction only provides bias. Thus, a short-term prediction model is needed to preidict RTS clock corrections. In this paper, we used a long short-term memory (LSTM) network to predict RTS clock correction for three minutes. The prediction accuracy of the LSTM was compared with that of the polynomial model. After applying the predicted clock corrections to the broadcast ephemeris, we performed PPP and analyzed the positioning accuracy. The LSTM network predicted the clock correction within 2 cm error, and the PPP accuracy is almost the same as received RTS data.

브리넬 경도 표준 시험기 및 압입자국 자동 측정 장치의 장기 안정도 평가와 최적 시험조건에 관한 연구 (A Study on the Evaluation of Long Term Stability of Brinell Standard Hardness Tester and Automatic Indentation Measurement System and Optimum Test Condition)

  • 방건웅;탁내형;황농문
    • 열처리공학회지
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    • 제13권1호
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    • pp.10-15
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    • 2000
  • Evaluation of long term stability of the Brinell standard hardness tester was carried out to secure its application as a national standard in Brinell hardness. Accuracy and repeatability in load application were tested through evaluating errors in hardness measurement of certified reference blocks. All of those requirements in KS as well as ISO specifications were satisfied by this standard hardness tester. In addition to this, long term stability test of automatic indentation measurement system was carried out. The scattering range was almost the same with its error range. To figure out an optimum test condition for better repeatability and long term stability, the effect of load variation, load application speed and time have been studied using orthogonal array experimental plan. It was found that the best combination is $30{\mu}m/s$ of load application speed and 25 seconds of load application time.

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Determinants of Real Interest Rates: The Case of Jordan Long-Fei

  • Ajlouni, Moh'd Mahmoud
    • The Journal of Asian Finance, Economics and Business
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    • 제5권4호
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    • pp.35-44
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    • 2018
  • The study is aimed at investigating the main factors that affect the interest rate yields, in the long-term. In addition, the study surveys the theories and literature relating to the determinants of interest rate. The importance of which is essential not only for governments, but also for banks and corporate financial risk management decisions, including risk exposures in banks and capital markets. Interest rate influences corporate profit as well as growth. For this purpose, the study examines the impact of budget deficit, risk-free rate, capital inflows, money supply and business cycles on real interest rate in Jordan. These factors are based upon well-established theories and straightforward practical view as interest rate determinants. Using data for (1990-2015), the study employed Johansen's co-integrating test, which takes into consideration the long-term unsynchronized relationships. The data is tested for normality, symmetric correlations, covariance diagonal and unit root. The results show that the government budget deficit, short-term risk-free interest rate, capital inflows, money supply and business cycle are long-term determinants of the real interest rate in Jordan. The coefficients of government budget deficit, short-term risk-free rate, money supply and business cycle all are inversely affecting the real interest rate, while capital inflows has a positive impact on the real interest rate.