• 한국주거학회:학술대회논문집
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• 한국주거학회 2009년도 추계학술발표대회 논문집
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• pp.104-108
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• 2009

Rapid urbanization resulted in expansion of urban area and increase of population bringing deepened housing shortage. Supply-oriented housing policy made apartment a representative residential space in Korea in spite of the short history of apartment. This study analyzed the shape and arrangement of main building by year and the microclimate in the complex depending on the number of floors. The purpose of this study was to present the basic data in developing apartment complex to solve problems like the stagnation of pollution source and the rise of temperature due to the declined ventilation in apartment complex, and the worsened urban heat island phenomenon due to the impeded flow of wind. This study rearranged the shape and arrangement of main building by year and the tendency of the number of floors by year in the process of change, by generalizing the process of change of apartment complex, a representative modern residential space through preliminary research. Based on it, 8 object lot by age was selected and simulated by using Envi-met. Simulation identified that the change of apartment complex takes place having a positive effect on microclimate in the apartment complex and the microclimate in the apartment complex is influenced a lot by the shape of complex. If in future apartment complex plan, a systematic legal criteria of design is made about the shape and arrangement of main building, it might have a positive effect on the improvement of microclimate in the apartment complex, a representative residential space in Korea.

• Journal of the Korean Data and Information Science Society
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• 제23권5호
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• pp.983-992
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• 2012

사회지표조사는 주민들이 생각하는 사회 상태를 총체적으로 파악할 수 있는 조사로서 다양한 시책 개발에 있어 지역의 여론을 반영할 수 있는 장점이 있다. 사회지표조사는 사회 변화를 알 수 있는 중요한 척도라고 할 수 있으며, 많은 지자체 (서울시, 인천시, 부산시, 울산시, 경상남도 등)에서 많은 예산과 시간을 들여 조사를 실시하고 있다. 그러나 조사에 대한 분석 결과가 기초통계분석 위주로 되어 있어 실제 사회지표조사 자료를 제대로 활용하고 있지 못하고 있는 실정이므로 데이터마이닝 등의 다양한 방법의 적용이 필요하다. 이에 본 논문에서는 사회지표조사의 효율적인 분석을 위하여 새로운 데이터마이닝 방법론을 제시하고자 한다. 본 논문에서는 매개연관성규칙, k-평균 군집분석, 의사결정나무를 순차적으로 적용하는 3단계 복합 데이터마이닝의 적용 방법을 제안하며, 이를 2010년에 조사된 경상남도 사회지표조사 자료에 적용하고자 한다.

• 한국융합학회논문지
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• 제11권10호
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• pp.97-106
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• 2020

산업입지정보시스템에서 제공하는 공장정보는 한국산업단지공단으로부터 원시데이터를 받아 필터링 과정을 거친 후 등록되기 때문에 새로운 공장 정보 갱신이 느린 특징이 있다. 본 연구에서는 산업입지정보시스템 공장 정보 갱신 문제를 해결하고자, 비교적 갱신 주기가 빠른 도로명 주소의 건물 데이터와 부동산의 건물 데이터를 이용하여 기존의 산업입지정보시스템 공장정보와 비교하고 새로운 공장정보를 추출하였다. 속성정보 매칭을 수행하고, 속성정보의 누락으로 매칭할 수 없는 공장의 경우에는 공간객체 매칭을 수행하였다. 위 과정에서 점 데이터와 다각형 데이터와 같이 형식이 다른 공간객체를 비교하는 방안을 제시하였다. 제안된 공간분석 방법의 정확도 평가 결과 약 79%의 정확도를 보였으며, 위 매칭 기법을 활용하여 도로명주소건물데이터, 부동산건물데이터와 산업입지정보시스템 공장정보의 융합 가능성을 확인하였다.

• KIEAE Journal
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• 제11권5호
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• pp.91-96
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• 2011

This study is to analysis the characteristics of electric power consumption of apartments complex in Korea. This study shows the pattern of electric power consumption and correlation of each apartment complex's completion year monthly and timely. With this result, we are able to predict the demand pattern of electricity in a house and make the schedule by demand pattern. It is expected this data is used as reference of electric consumption of Daejeon area to operate the simulation tools to predict the building energy. The yearly data of 10 apartment complexes of 2010 are analyzed. The results of this study are followed. The averaged amount of electricity consumption in winter is higher as summer because of the high capacity of heating equipment. All of the house has electric base load from 0.26kWh to 0.5kWh. The average of the electricity consumption of month is shown as 310.2kWh. A week is seperated, as 4 part such as week, weekend, Saturday and Sunday. During week, the average of timely electricity consumption is shown as 0.426kWh. The Saturday consumption is 0.437kWh. The Sunday is 0.445kWh. The peak electricity consumption in summer and winter is measured. The peak consumption on summer season is 1.389kW on 22th August 64% higher than winter season 0.887kW on 3rd January.

• 상하수도학회지
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• 제30권5호
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• pp.579-586
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• 2016

In many countries in order to manage corrosion of water treatment process, it is currently using Langelier index (LI). However, management of the Larson's ratio (LR) to compare corrosion management and LI which can be generated by the water treatment process is required. In this study, in order to ensure data LR, factors associated with the actual corrosion resistance of water treatment plant was measured. Using the measured data, the model equation can be estimated alkalinity, and using the statutory water quality data, LR and alkalinity is estimated. At comparison of the measured value and estimated value of alkalinity, it appeared in $R^2$ = 0.629, using the statutory water quality data and estimated alkalinity model, LR and alkalinity (Whole water treatment plants : 472) is estimated. Concentration of estimated alkalinity is 0.5 mg/L to 107.5 mg/L (average : 23.2 mg/L), and LR is 0.1 to 10 (average : 1.3). At tendency to corrosion of investigated LR, "No metal tendency" (>0.5) is 39 water treatment plants, 8.26 %, and "corrosion metal tendency" is 433 water treatment plants, 91.74%.

• 한국환경과학회지
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• 제15권8호
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• pp.745-757
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• 2006

We focus on the improvement of accuracy of sea surface wind over complex coastal area doling the warm season. Local Analysis Prediction System (LAPS) was used to improve the initial values in Mesoscale Meteorological model (MM5). During the clear summer days with weak wind speed, sea surface wind simulated with LAPS was compared with the case without LAPS. The results of modeling with LAPS has a good agreement mesoscale circulation such as mountain and valley winds on land and in case of modeling without LAPS, wind speed overestimated over the sea in the daytime. And the results of simulation with LAPS indicated similar wind speed values to observational data over the sea under influence of data assimilation using BUOY, QuikSCAT, and AMEBAS. The present study suggests that MM5 modelling with LAPS showed more improved results than that of without LAPS to simulate sea surface wind over the complex coastal area.

• 디지털융복합연구
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• 제19권10호
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• pp.253-263
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• 2021

기계학습은 학습에 이용되는 학습 데이터와 데이터를 예측할 인공신경망을 이용하여 비용함수를 만들고, 비용함수를 최소화시키는 파라미터들을 찾는 과정이다. 파라미터들은 비용함수의 그래디언트 기반 방법들을 이용하여 변화하게 된다. 디지털 신호가 복잡할수록, 학습하고자 하는 문제가 복잡할수록, 인공신경망의 구조는 더욱 복잡해지고 깊어진다. 복잡하고, 깊어지는 인공신경망 구조는 과적합(Over-fitting) 문제를 발생시킨다. 과적합 문제를 해결하기 위하여 파라미터의 가중치 감소 정규화 방법이 사용되고 있다. 우리는 이러한 방법에서 추가로 비용함수의 값을 이용한다. 이러한 방법으로 기계학습의 정확도가 향상되는 결과를 얻었으며 이는 수치 실험을 통하여 우수성이 확인된다. 이러한 결과는 기계학습을 통한 인공지능의 폭넓은 데이터에 대한 정확한 값을 도출한다.

• 한국추진공학회지
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• 제22권5호
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• pp.107-114
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• 2018

한국형발사체 (KSLV-II) 발사대시스템 상세설계의 산화제 충전 운용 설계를 검증하고자, 나로호 1차 비행 시험 실증 자료과 설계 모델링 유동 해석 결과를 비교하였다. 최대 공급유량에 대비한 유량 비율로 충전 모드별 측정 및 계산값을 비교할 때, 모든 오차는 6.7% 이내이다. 산화제 공급 펌프 후단 및 유량조절 밸브 전단 압력 오차는 5.1% 이내이다. 발사체 공급 전단 최종 압력은 모든 충전 모드에서 실험값의 범위에 포함되는 것을 확인하였다.

• Journal of Computing Science and Engineering
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• 제2권4호
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• pp.394-411
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• 2008

The data in automation and control systems can be achieved not only from different field devices but also from different OPC (OLE for Process Control) servers. However, current OPC clients can only read and decode the simple data from OPC servers. They will have some problems to acquire structured data and exchange the structured data. In addition to the large network control systems, the OPC clients can read, write, and subscribe to thousands of data points from/to OPC servers. Due to that, the most important factor for building a high performance and scalable industrial control system is the ability to transfer the process data between server and client in the most efficient and fastest way. In order to solve these problems, we propose a means to implement the OPC DA (Data Access) server supporting the OPC complex data, so that the OPC DA clients are able to read and decode any type of data from OPC servers. We also propose a method for caching the process data in large industrial control systems to overcome the limitation of performance of the pure OPC DA system. The performance analysis and discussion indicate that the proposed system has an acceptable performance and is feasible in order for applying to real-time industrial systems today.

• Bulletin of the Korean Chemical Society
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• 제26권4호
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• pp.614-618
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• 2005

The complex of the composition LaL(N$O_3)_3\;(H_2O)_2$ is prepared by the reaction of La($NO_3)_3{\cdot}6H_2O$ with Nethylmorpholine in aqueous medium. The ligand is involved in the complex as a neutral species where the chelation occurs via the oxygen of the ligand moiety and the nitrate groups as bidentate ligand. The chemical structure of the studied complex is confirmed through IR, XRD, and thermal analysis data. The complexation equilibria of La(III) with N-ethylmopholine is studied in aqueous medium at ionic strength I = 0.1 mol${\cdot}dm^{-3}\;KNO_3$ and at 25, 35 and 45 ${^{\circ}C}$, respectively. The thermodynamic parameters $\Delta$G, $\Delta$H and $\Delta$S values were calculated to prove the association with the complex formation. It is clearly observed that the process is accompanied by absorption of heat, i.e. endothermic process, while the entropy does not change greatly attributed to the release of constant number of water molecules during chelate formation.