• Annual Conference on Human and Language Technology
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• 1992.10a
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• pp.51-61
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• 1992

전자전화번호부 서비스는 HiTEL단말기 및 기존의 PC를 소유한 가입자의 전화번호 관련문의에 대해 신속, 정확한 정보를 제공하는 비디오텍스 응용시스팀으로서 통신처리시스팀, 서비스검색시스팀, 화일관리시스팀으로 나뉠 수 있다. 전화번호화일은 가입자에 따라 인명부, 업종상호부로 나뉘어 CISAM 방식의 화일로 구현하였으며, 상호인 경우 1:N 필드관계를 지원하여 하나의 전화번호에 대해 다수 업종의 지원이 가능하다. 전화가입자의 일일 변동자료의 처리및 화일의 갱신에 대해 소개하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.541-544
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• 2021

본 논문은 어떤 기업의 주식 주문 정보를 담고 있는 호가창(limit order book)과 해당 기업과 관련된 뉴스 헤드라인을 사용하여 해당 기업의 주가 등락을 예측하는 딥러닝 기반 모델을 제안한다. 제안 모델은 호가창의 중기 변화와 단기 변화를 모두 고려하는 한편, 동기간 발생한 뉴스 헤드라인까지 예측에 고려함으로써 주가 등락 예측 정확도를 높인다. 제안 모델은 호가창의 변화의 특징을 CNN(convolutional neural network)으로 추출하고 뉴스 헤드라인을 Word2vec으로 생성된 단어 임베딩 벡터를 사용하여 나타낸 뒤, 이들 정보를 결합하여 특정 기업 주식의 다음 날 등락여부를 예측한다. NASDAQ 실데이터를 사용한 실험을 통해 제안 모델로 5개 종목(Amazon, Apple, Facebook, Google, Tesla)의 일일 주가 등락을 예측한 결과, 제안 모델은 기존 방법에 비해 정확도를 최대 17.14%, 평균 10.7% 향상시켰다.

• 한국해양학회지
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• v.30 no.5
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• pp.436-441
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• 1995

Final biomass yields (peak optical density) and growth rates (divisions/day) of seven clones of Skeletonema costatum from Korean coastal waters were measured to understand their intraspecific variations in the light intensity niche component under 25$^{\circ}C$ condition. Daily growth rates of 6 out of 7 S. costatum clones were maximum at 6000 lux while that of YS4, a neritic clone, was maximum at 9000 lux. The final biomass yields of 4 out of the 7 s. costatum clones were maximum at the lowest light intensity of 2000 lux. Minimum final biomass yields were found at 9000 lux in all the S. costatum clones other than an estuarine clone, HDC9. The intraspecific variations of the mean growth rate and mean final biomass yield under each of the three different light intensities in terms of the coefficient of variation were not greater than 10% in any of the 7 S. costatum clones.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.81-93
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• 2022

The stock investing is one of the most popular investment techniques. However, since it is not easy to obtain a return through actual investment, various strategies have been devised and tried in the past to obtain an effective and stable return. Among them, the volatility breakout strategy identifies a strong uptrend that exceeds a certain level on a daily basis as a breakout signal, follows the uptrend, and quickly earns daily returns. It is one of the popular investment strategies that are widely used to realize profits. However, it is difficult to predict stock prices by understanding the price trend pattern of stocks. In this paper, we propose a method of buying and selling stocks by predicting the return in trading based on the volatility breakout strategy using a bi-directional long short-term memory deep neural network that can realize a return in a short period of time. As a result of the experiment assuming actual trading on the test data with the learned model, it can be seen that the results outperform both the return and stability compared to the existing closing price prediction model using the long-short-term memory deep neural network model.

• Journal of the Korean earth science society
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• v.26 no.1
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• pp.93-105
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• 2005

Climatological characteristics in the variation of soil temperatures in Korea were investigated using Korea Meterological Administration's observation data. And the impacts of soil moisture on the variation of soil temperature were examined using observed precipitation data. The climatological averages of soil temperatures are ranged from 14.4 to $15.0^{\circ}C$ regardless of depths. And they showed an latitudinal gradient with a warm temperature at the southern region and 'U' shape as in the air temperature with a high value along the coastal region. The relatively higher heat capacity and low conductivity of soil compared to those of the air resulted in the significant delay of the maximum and minimum date with depth. As a results, soil acts as a heat source during winter while a heat sink during summer. Global warming and urban heat island have increased the soil temperatures with an average rate $0.3\~0.5^{\circ}C/10-year$ as in the air temperature during last 30 years $(1973\~2002)$. However, the warming rate is maximized during spring contrary to the winter in the air temperature. The temporal variation of soil temperatures is strongly affected by that of soil moisture through an modification of the heat capacity and heat convection. In general, the increased soil moisture clearly decreased the temporal variations and increased the deep layer soil temperatures during cold season.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.34 no.5
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• pp.435-444
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• 2001

Daily time series of longshore wind at 8 stations, sea surface temperature (SST) at 11 stations in the eastern coast of the Korean peninsula during $1983\~1997$ and the NOAA/AVHRR satellite data during $1990\~1998$ were used in order to study the temporal and spatial variations of the upwelling cold water which occurred in the summer season. The cold water occurred frequently in the eastern coastal waters of Korea such as Soimal, Kijang, Ulgi, Kampo, Pohang, Youngduk, Chukbyun, Chumunjin and Sokcho, During the upwelling cold water phenomenon, SST came down more than $-5^{\circ}C$ in a day. The maximum of the averaged RMS amplitude of daily SST was $5.8^{\circ}C$ along the eastern coast of Korea on Julian day 212 from $1983\~1997$. The cross correlation coefficients were higher than 0.5 between Sokcho and Chumunjin in the northern part of the East Sea, and along Soimal, Kijang, Ulgi, Kampo and Pohang in the southern part of the East Sea. In late July, 1995 the cold water occurred at Ulgi coastal area and extended to Ullung island which is located 250 km off the Ulgi coast. Even though the distance between Soimal and the Ulgi coast area is more than 120 km, the cross correlation coefficient related to the anomalies of SST due to upwelling cold water was the highest (0.7) in the southeastern coastal area of the Korean peninsula. This connection may be due to the cyclonic circulation of the Tsushima Current in this area and the topography of the ocean rather than the local south wind which induced the coastal upwelling.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.440-440
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• 2021

본 연구에서는 다양한 수문지수와 생태지수간의 상관성 분석을 통해 하천의 유량이 하천 생태계와 하천 건강성에 어떤 영향을 끼치는지 분석했다. 수문지수는 각 유역의 유량 자료를 이용하여 구하였다. 각 유역의 평균 일일 유량, 평균 월 유량, 일 중앙 유량, 월 중앙 유량, 유량의 왜곡, 유량의 변동계수, 유량 빈도 등을 구하였다. 생태지수는 Benthic Macroinvertebrates Index (BMI)를 이용하였다. 피어슨 상관계수 분석(Pearson's correlation coefficient analysis)을 통해 수문지수와 생태지수 간의 상관성을 분석했다. 또한 Gaussian Process Regression(GPR) Model을 이용하여 수문지수와 유역의 지형적 특성을 이용한 회귀모형을 통해 미래의 BMI를 예측할 수 있었다. 각 수문지수별로 생태지수와 높은 상관성을 보이는 것과 낮은 상관성을 보이는 것을 확인할 수 있었다. GPR 모형을 이용하여 미래의 BMI의 값을 예측해 하천 건강성 평가로 이용될 수 있는 수문지수를 얻을 수 있었다. 본 연구를 통해서 수문학적 지수와 생태지수를 이용해 정량적으로 건강성을 평가할 수 있을 것으로 기대한다. 또한 GPR 모형을 통해 미래 생태지수의 값을 예측해보고 해당 연구 유역의 하천 건강을 위한 하나의 지표를 제안 할 수 있을 것으로 예상된다.

• Korean Journal of Ichthyology
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• v.18 no.3
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• pp.223-233
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• 2006

The annual and spatial changes in the species composition of catch off Yeosu were analyzed using the daily sales slip catch data by a set net in the inshore waters off Dolsan Islands in Yeosu from April to October 2001, off Yeon Islands of Yeosu from April to October 2002 and in the offshore waters off Dolsan Islands of Yeosu from April to December 2003, respectively. Scomberomorus niphonius, Seriola spp., Trichiurus lepturus, Engraulis japonicus, Sarda orientalis, Todarodes pacificus, Pampus echinogaster, Sardinella zunasi, Scomber japonicus, Lophius litulon and Loligo beka were dominant species in abundance, indicating that pelagic fish were mainly caught by a set net off Yeosu. S. zunasi, P. echinogaster, Platycephalus indicus and L. beka inhabited mainly in the inshore waters, and S. niphonius, Seriola spp., T. lepturus, P. echinogaster, T. pacificus, Takifugu porphyreus and Pagrus major resided mainly in the offshore waters as the pelagic resident species. E. japonicus was a representative dominant species moving between the inshore and the offshore waters seasonally. S. zunasi and E. japonicus occurred in the inshore waters, and E. japonicus, L. litulon and Seriola spp. begain to be caught in the deep offshore waters in spring. Total catch was high during the summer season by migration of the open sea species such as T. lepturus, S. niphonius, S. japonicus, Seriola spp., S. orientalis, P. echinogaster and T. pacificus. In fall, S. niphonius, E. japonicus, Sphyraena pinguis, Siganus fuscescens and Leiognathus nuchalis were dominant in the inshore waters, and S. niphonius, P. echinogaster, Hyporhamphus sajori, S. japonicus and T. lepturus continued to occur from summer in the offshore waters but total catch decreased, indicating the typical seasonal variation pattern of the temperate region. Most of catchable fishes by a set net were the pelagic species showing a significant temporal variation. Collection and analysis of daily catch data by large set nets can be used to determine seasonal variation in species composition of pelagic fish in a study area.

• Tunnel and Underground Space
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• v.19 no.3
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• pp.167-173
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• 2009

Underground storage cavern is known as the most complicated underground project because of the complexity of construction schedule, tunnel size, and geological problems. In order to optimize the construction schedule of underground storage cavern, two up-to-date technologies were applied. The first technology was 3 dimensional visualization of complicated underground structures, and the second was 4 dimensional simulation considering construction resources, geological conditions and construction schedule. This application case shows that we can achieve optimized construction schedule in the ways to optimize the number of work teams, fleets, the sequence of tunnel excavation, the commencement time of excavation and the hauling route of materials and excavated rocks. 3 dimensional modeling can help designer being able to understand the status of complicated underground structures and to investigate the geological data in the exact 3 dimensional space. Moreover, using 4 dimensional simulation, designer is able to determine the bottle neck point which appear during hauling of excavated rocks and to investigate the daily fluctuation in cost.

• Journal of Astronomy and Space Sciences
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• v.23 no.3
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• pp.227-236
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• 2006

The fractal dimension is a quantitative parameter describing the characteristics of irregular time series. In this study, we use this parameter to analyze the irregular aspects of solar activity and to predict the maximum sunspot number in the following solar cycle by examining time series of the sunspot number. For this, we considered the daily sunspot number since 1850 from SIDC (Solar Influences Data analysis Center) and then estimated cycle variation of the fractal dimension by using Higuchi's method. We examined the relationship between this fractal dimension and the maximum monthly sunspot number in each solar cycle. As a result, we found that there is a strong inverse relationship between the fractal dimension and the maximum monthly sunspot number. By using this relation we predicted the maximum sunspot number in the solar cycle from the fractal dimension of the sunspot numbers during the solar activity increasing phase. The successful prediction is proven by a good correlation (r=0.89) between the observed and predicted maximum sunspot numbers in the solar cycles.