• 한국주거학회:학술대회논문집
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• 한국주거학회 2002년도 추계학술발표대회
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• pp.307-313
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• 2002

Urban style row-rise houses for rent have been supplied to the center of city from the 1950's first half The amount of stock is about 450,000 houses and occupies about 40％ in the private rented house. As for the structure, the 60％ of them is wooden-structure and the rest is non-wooden. Stocks of 57.5％ of the wooden-structure and 86％ of the non-wooden were built after 1981 years. It was 1981 years that the new earthquake-resistant standard was carried out, the improvement of stocks built before 1981 is necessary because those don't satisfy the present standard. To investigate the renovation possibility of urban style row-rise houses for rent, actual situation of two-story apartment at 2,4, and 5 Chome Taito-Ku in Tokyo was surveyed from July to November 2001. The number of building analyzed is 227 ridges among 234 ridges of the surveyed two-story building. 90％ of building analyzed is wooden structure. 1) The site of 88％ building surveyed is close to a road less than 4m width. It becomes the existing non-conformed building in the building construction act. It is impossible to make a renovation such as rebuilding, extension and remodeling because it requires the set back when renovating this type of non-conformed building, 2) The building built before 1981 is almost wooden-structure, and occupies 37％ of the building surveyed, and doesn't satisfy the present earthquake-resistant standard. An improvement of them is needed because the decrepitude of building proceeds. 3) 50％ of openings and 40％ of windows of the building surveyed doesn't use noncombustible materials. Though it becomes the existing non-conformed building, it can satisfy the present standard by replacing openings with noncombustible materials.

• 한국태양에너지학회 논문집
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• 제40권5호
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• pp.47-58
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• 2020

Ministry of Land, Infrastructure and Transport(MOLIT) has increased reduction rate from 18.1% to 32.7% in Building sector compared to BAU of the national greenhouse gas emission according to the 2030 Greenhouse Gas Reduction Road map Amendment. For this purpose, MOLIT has been activating the green remodeling projects for existing buildings. Considering that 15 year old buildings after completion are 74% (5.25 million buildings) among about 7 million existing building stocks in Korea, reduction of building energy consumption by green remodeling is urgently needed, However, it is a major difficulty of activation for green remodeling projects because there are few case studies on Before and After building energy consumption of actual green remodeling projects. Considering that building energy performance and value increase after green remodeling through previous researches, additional studies of the energy consumption assessment on actual green remodeling projects are essential. Therefore, this study aims to propose results on Before and After building energy consumption of actual green remodeling projects.

• Earthquakes and Structures
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• 제9권4호
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• pp.893-910
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• 2015

Earthquake safety of existing buildings has gained considerable importance after earthquakes which have occurred in our country especially in the last 30 years. Performance based assessment methods have been widely used for existing reinforced concrete structures. This study aims to investigate the earthquake performances of the building stock located in Van Lake basin in Eastern Anatolia of Turkey. The case study of buildings has been modeled on and the structural performances have been determined by employing the non-linear methods described in the latest Turkish Earthquake Code published in 2007. The Van lake basin is located on the very seismically active in a region. On October 23, 2011, a magnitude of Mw 7.2 earthquake struck the Van province in eastern Turkey. The earthquake ground motion was recorded as about 0.1g in Bitlis province. Performance evaluations have been performed by taking samples from each district consisting urban building stocks of Bitlis. A total of 16 reinforced concrete buildings have been evaluated. Among them, 53% of those buildings were determined in the Fully Operational performance level; 13% of them in the Life Safety performance and 34% of them could not be evaluated because of the ratio of the effective mass of first mode to the total mass of the buildings was smaller than 0.70. Therefore, incremental equivalent seismic load methods, which are a part of Turkish Earthquake Code -2007, cannot be used.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.32-39
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• 2009

"We need to overcome the lack of space and infrastructure." Construction in the 20th century had been basically motivated by this need. It had enabled almost automatic financing on land as well as plenty of public investment. However we cannot expect such investment in built environment any more in the 21st century, when urban structures have been fully built. "We have space and infrastructures but want to make them better." We must find the new way how to strategically organize creativity on use as well as such users' want itself for sustaining investment in built environment. In this paper the outline of such a new way is discussed.

• Advances in Computational Design
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• 제4권2호
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• pp.119-139
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• 2019

Planning and management building projects should tackle the coordination of works and the management of limited spaces, traffic and supplies. Activities cannot be performed without the resources available and resources cannot be used beyond the capacity of workplaces. Otherwise, workspace congestion will negatively affect the flow of works. Better on-site management allows for substantial productivity improvements and cost savings. The procurement system should be able to manage a wider variety of materials and products of the required quality in order to have less stock, in less time, using less space, with less investment and avoiding multiple storage stations. The objective of this paper is to demonstrate the advantages of using the Chronographic modeling, by combining spatiotemporal technical scheduling with the 4D simulations, the Last Planner System and the Takt-time when modeling the construction of building projects. This paper work toward the aforementioned goal by examining the impact that material flow has on site occupancy. The proposed spatiotemporal model promotes efficient site use, defines optimal site-occupancy and workforce-rotation rates, minimizes intermediate stocks, and ensures a suitable procurement process. This paper study the material flow on the site and consider horizontal and vertical paths, traffic flows and appropriate means of transportation to ensure fluidity and safety. This paper contributes to the existing body of knowledge by linking execution and supply to the spatial and temporal aspects. The methodology compare the performance and procurement processes for the proposed Chronographic model with the Gantt-Precedence diagram. Two examples are presented to demonstrate the benefits of the proposed model and to validate the related concepts. This validation is designed to test the model's graphical ability to simulate construction and procurement.

• 산업경영시스템학회지
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• 제46권1호
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• pp.105-111
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• 2023

Recently, research on prediction algorithms using deep learning has been actively conducted. In addition, algorithmic trading (auto-trading) based on predictive power of artificial intelligence is also becoming one of the main investment methods in stock trading field, building its own history. Since the possibility of human error is blocked at source and traded mechanically according to the conditions, it is likely to be more profitable than humans in the long run. In particular, for the virtual currency market at least for now, unlike stocks, it is not possible to evaluate the intrinsic value of each cryptocurrencies. So it is far effective to approach them with technical analysis and cryptocurrency market might be the field that the performance of algorithmic trading can be maximized. Currently, the most commonly used artificial intelligence method for financial time series data analysis and forecasting is Long short-term memory(LSTM). However, even t4he LSTM also has deficiencies which constrain its widespread use. Therefore, many improvements are needed in the design of forecasting and investment algorithms in order to increase its utilization in actual investment situations. Meanwhile, Prophet, an artificial intelligence algorithm developed by Facebook (META) in 2017, is used to predict stock and cryptocurrency prices with high prediction accuracy. In particular, it is evaluated that Prophet predicts the price of virtual currencies better than that of stocks. In this study, we aim to show Prophet's virtual currency price prediction accuracy is higher than existing deep learning-based time series prediction method. In addition, we execute mock investment with Prophet predicted value. Evaluating the final value at the end of the investment, most of tested coins exceeded the initial investment recording a positive profit. In future research, we continue to test other coins to determine whether there is a significant difference in the predictive power by coin and therefore can establish investment strategies.

• 지능정보연구
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• 제23권2호
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• pp.123-138
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• 2017

주식 시장은 거래자들의 기업과 시황에 대한 기대가 반영되어 움직이기에, 다양한 원천의 텍스트 데이터 분석을 통해 주가 움직임을 예측하려는 연구들이 진행되어 왔다. 주가의 움직임을 예측하는 것이기에 단순히 주가의 등락 뿐만이 아니라, 뉴스 기사나 소셜 미디어의 반응에 따라 거래를 하고 이에 따른 수익률을 분석하는 연구들이 진행되어 왔다. 주가의 움직임을 예측하는 연구들도 다른 분야의 텍스트 마이닝 접근 방안과 동일하게 단어-문서 매트릭스를 구성하여 분류 알고리즘에 적용하여 왔다. 문서에 많은 단어들이 포함되어 있기 때문에 모든 단어를 가지고 단어-문서 매트릭스를 만드는 것보다는 단어가 문서를 범주로 분류할 때 기여도가 높은 단어들을 선정하여야 한다. 단어의 빈도를 고려하여 너무 적은 등장 빈도나 중요도를 보이는 단어는 제거하게 된다. 단어가 문서를 정확하게 분류하는 데 기여하는 정도를 측정하여 기여도에 따라 사용할 단어를 선정하기도 한다. 단어-문서 매트릭스를 구성하는 기본적인 방안인 분석의 대상이 되는 모든 문서를 수집하여 분류에 영향력을 미치는 단어를 선정하여 사용하는 것이었다. 본 연구에서는 개별 종목에 대한 문서를 분석하여 종목별 등락에 모두 포함되는 단어를 중립 단어로 선정한다. 선정된 중립 단어 주변에 등장하는 단어들을 추출하여 단어-문서 매트릭스 생성에 활용한다. 중립 단어 자체는 주가 움직임과 연관관계가 적고, 중립 단어의 주변 단어가 주가 상승에 더 영향을 미칠 것이라는 생각에서 출발한다. 생성된 단어-문서 매트릭스를 가지고 주가의 등락 여부를 분류하는 알고리즘에 적용하게 된다. 본 연구에서는 종목 별로 중립 단어를 1차 선정하고, 선정된 단어 중에서 다른 종목에도 많이 포함되는 단어는 추가적으로 제외하는 방안을 활용하였다. 온라인 뉴스 포털을 통해 시가 총액 상위 10개 종목에 대한 4개월 간의 뉴스 기사를 수집하였다. 3개월간의 뉴스 기사를 학습 데이터로 분류 모형을 수립하였으며, 남은 1개월간의 뉴스 기사를 모형에 적용하여 다음 날의 주가 움직임을 예측하였다. 본 연구에서 제안하는 중립 단어 활용 알고리즘이 희소성에 기반한 단어 선정 방안에 비해 우수한 분류 성과를 보였다.