• 디지털콘텐츠학회 논문지
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• 제15권1호
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• pp.29-38
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• 2014

본 연구는 새로운 이야기 콘텐츠 생성의 장인 블로그 글쓰기의 스토리생성 모델을 제시하고자 한다. 이를 위해 먼저 블로그 스토리 생성의 조건을 블로그의 구조적 요인에서 찾아 RSS 기능을 통한 밀어내기의 스토리 유닛화와 트랙백을 통한 끌어오기의 스토리 확장으로 제시하였다. 다음으로 퍼스 기호학의 해석체 개념을 적용해 블로그 스토리의 제시, 변형, 순환의 과정을 설명하고 각 과정이 어떠한 의미를 창출해 내는지 살펴보았다. 이는 블로그 글쓰기의 스토리 생성 과정 자체를 하나의 통합적 기호로 제시하고 스토리텔링 관점에서 그 모델을 제시하는 선행적 연구로서 의의가 있다.

• 한국공간구조학회논문집
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• 제21권4호
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• pp.73-80
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• 2021

A mid-story isolation system was proposed for seismic response reduction of high-rise buildings and presented good control performance. Control performance of a mid-story isolation system was enhanced by introducing semi-active control devices into isolation systems. Seismic response reduction capacity of a semi-active mid-story isolation system mainly depends on effect of control algorithm. AI(Artificial Intelligence)-based control algorithm was developed for control of a semi-active mid-story isolation system in this study. For this research, an practical structure of Shiodome Sumitomo building in Japan which has a mid-story isolation system was used as an example structure. An MR (magnetorheological) damper was used to make a semi-active mid-story isolation system in example model. In numerical simulation, seismic response prediction model was generated by one of supervised learning model, i.e. an RNN (Recurrent Neural Network). Deep Q-network (DQN) out of reinforcement learning algorithms was employed to develop control algorithm The numerical simulation results presented that the DQN algorithm can effectively control a semi-active mid-story isolation system resulting in successful reduction of seismic responses.

• 한국주거학회논문집
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• 제19권3호
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• pp.71-81
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• 2008

A traditional Korean housing is a typical type which is contained life style, spatial organization and scape element of people who lived in Korea. In the hanok, people want to be live not only in human environment and traditional culture, but also modem urban housing as a high density. This article deals as follows: First, Hanok as urban housing would be composed in a housing lot, linear type layout, devide building, and cluster type. Second, Housing unit and configuration of Multi family housing can be used single story, second story, second story + single story, multi story and Hanok roofing. Thirds, structure of the building are traditional wooden, combined one of steel and wood or concrete and wood, and the building system in exterior and interior can be seperated into another system. Forth, Image of multi story Hanok A last, consistency of Hanok is not a repeat of an origin but application and creative aptitude of the origin, and multi family housing application of Hanok can be a trial creative.

• 한국산학기술학회논문지
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• 제16권4호
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• pp.2917-2923
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• 2015

본 논문은 내진성능평가를 위해 사용되는 비탄성해석의 신뢰도와 정확도에 있어 결정적인 영향을 미치는 다양한 이력모델의 특성과 구조물의 내진거동에 미치는 영향을 분석하고자 한다. 연구대상은 표준학교건물로서 우리나라 규준에 맞는 인공지진 가속도 3가지를 사용하여 4가지의 이력모델을 적용하여 3차원 시간이력해석을 수행하였다. 비탄성해석을 통해 층전단력, 층간변위비, 층변위를 비교하고 힌지의 발생 상태를 파악하고 이력모델이 건물의 비탄성거동에 미치는 영향을 분석하였다. 연구 결과, 층전단력은 이력모델에 따라 최대 27%의 차이를 보이고, 층간변위비는 최대 30%의 차이가 나타났다. 장단변방향 모두에서 층전단력과 층간변위비는 최대값이 수정다케다모델에서 나타나 안전율 향상을 기대할 수 있을 것으로 판단된다. 층전단력의 최소값은 장단변방향 모두에서 클러프모델에서, 층간변위비는 장변방향은 다케다모델, 단변방향은 클러프모델에서 나타났고 이 경우 안전율이 낮아질 것으로 사료된다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.224-230
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• 2021

YouTube is an OTT service that leads the home economy, which has emerged from the 2020 Corona Pandemic. With the growth of OTT-based individual media, creators are required to establish attractive storytelling strategies that can be preferred by viewers and elected for YouTube recommendation algorithms. In this study, we conducted a study on modeling that proposes a content storyline for creators. As the ability for Creators to create content that viewers prefer, we have presented the data literacy ability to find patterns in complex and massive data. We also studied the importance of compelling storytelling configurations that viewers prefer and can be selected for YouTube recommendation algorithms. This study is of great significance in that it deviated from the viewer-oriented recommendation system method and proposed a story suggestion model for individual creaters. As a result of incorporating this story proposal model into the production of the YouTube channel Tiger Love video, it showed a certain effectiveness. This story suggestion model is a machine learning text-based story suggestion system, excluding the application of photography or video.

• 한국산학기술학회논문지
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• 제21권1호
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• pp.774-779
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• 2020

본 논문에서는 RNN 순환 신경망 (Recurrent Neural Network) 모델을 사용하여 스마트 중간층 면진 시스템의 지진 응답 제어 성능을 수치 해석을 통하여 검토하였다. 이를 위해서 지진 하중을 받는 건물의 동적 지진 응답 예측을 위한 RNN 모델을 개발하였다. 보다 실제적인 연구를 위하여 중간층 면진 시스템이 설치된 실존하는 건물인 시오도메 스미토모 건물을 예제 구조물로 선택하였다. 스마트 중간층 면진 시스템은 기존의 납 댐퍼를 대신하여 MR (Magnetorheological) 댐퍼를 사용하여 구성하였다. 그 외 고무 베어링이나 강재 댐퍼는 그대로 사용 하였다. 수치 해석을 통하여 개발된 RNN 모델이 기존의 FEM (Finite Element Method) 모델과 비교해서 매우 정확한 응답을 예측하는 것을 확인할 수 있었다. RNN 모델을 사용하면 자유도가 많은 FEM 모델을 사용한 경우에 비하여 해석 시간을 대폭 줄일 수 있다. 개발된 RNN 모델을 사용한 수치 해석 결과 스마트 중간층 면진 시스템이 기존의 수동 중간층 면진 시스템에 비하여 구조물의 지진 응답을 대폭 저감시킬 수 있는 것을 확인할 수 있었다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2000년도 가을 학술발표회논문집
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• pp.209-216
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• 2000

The purpose of this study is to investigate elasto-plastic behaviour and estimate ultimate resistance capacity of the residential-commercial building subjected to lateral force along the height of structure. Four types of residential-commercial building are chosen as analytical models and investigated by pushover analysis. Pushover analysis estimates initial elastic stiffness, post-yielding stiffness, and plastic hinges on each story of structures through three-dimensional nonlinear analysis program CANNY-99. Skeleton curve of bending stiffness model is bilinear, shear stiffness model is trilinear, and axial stiffness model is elastic. Skeleton curve of axial stiffness model has the axial compression and tension stiffness of reinforced concrete members. This study presents the change of inter story drift, story stiffness and hinge of story and member.

• Earthquakes and Structures
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• 제14권6호
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• pp.589-598
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• 2018

An attempt is conducted to explore the relationship between the macroscopic global damage and the local damage of shear-type RC frames. A story damage index, which can be expressed as multi-variate functions of modal parameters, is deduced based on the tridiagonal matrix of the shear-type frame. The global damage model is also originated from structural modal parameters. Due to the connection of modal damage indexes, the relationship between the macroscopic global damage and the local story damage is reasonably established. In order to validate the derivation, a case study is carried out via an 8-story shear-type frame. The sensitivities of modal damage indexes to the location and severity of local story damages are studied. The evolution of the global damage is investigated as well. Results show that the global damage is sensitive to the degree of story damage, but it's not sensitive to its location. As the number of the damaged stories increases, more and more modes will be involved. Meanwhile, the global damage evolution curve changes from the concave shape to the S-type and then finally transforms into the convex shape. Through the proposed story damage, modal damage and global damage model, a multi-level damage assessment method is established.

• Earthquakes and Structures
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• 제17권1호
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• pp.63-73
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• 2019

This paper studies damage detection as an optimization problem. A new objective function based on changes in natural frequencies, and Natural Frequency Vector Assurance Criterion (NFVAC) was developed. Due to their easy and fast acquisition, natural frequencies were utilized to detect structural damages. Moreover, they are sensitive to stiffness reduction. The method presented here consists of two stages. Firstly, Finite Element Model (FEM) is updated. Secondly, damage severities and locations are determined. To minimize the proposed objective function, a new bio-inspired optimization algorithm called salp swarm was employed. Efficiency of the method presented here is validated by three experimental examples. The first example relates to three-story shear frame with two single damage cases in the first story. The second relates to a five-story shear frame with single and multiple damage cases in the first and third stories. The last one relates to a large-scale eight-story shear frame with minor damage case in the first and third stories. Moreover, the performance of Salp Swarm Algorithm (SSA) was compared with Particle Swarm Optimization (PSO). The results show that better accuracy is obtained using SSA than using PSO. The obtained results clearly indicate that the proposed method can be used to determine accurately and efficiently both damage location and severity in multi-story shear frames.

• Structural Engineering and Mechanics
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• 제40권4호
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• pp.517-539
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• 2011

This paper presents the seismic responses of a 1:5-scale five-story reinforced concrete building model, which represents a residential apartment building that has a high irregularity of weak story, soft story, and torsion simultaneously at the ground story. The model was subjected to a series of uni- and bi-directional earthquake simulation tests. Analysis of the test results leads to the following conclusions: (1) The model survived the table excitations simulating the design earthquake with the PGA of 0.187 g without any significant damages, though it was not designed against earthquakes; (2) The fundamental mode was the torsion mode. The second and third orthogonal translational modes acted independently while the torsion mode showed a strong correlation with the predominant translational mode; (3) After a significant excursion into inelastic behavior, this correlation disappeared and the maximum torsion and torsion deformation remained almost constant regardless of the intensity of the two orthogonal excitations; And, (4) the lateral resistance and stiffness of the critical columns and wall increased or decreased significantly with the large variation of acting axial forces caused by the high bi-directional overturning moments and rocking phenomena under the bi-directional excitations.