• 주택과사람들
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• s.196
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• pp.72-77
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• 2006

스페인의 주택 가격은 주택담보대출 비율이 높고, 이민으로 인한 수요가 많아 큰 폭의 오름세를 보이기도 했지만 최근 들어 상승세가 다소 둔화되고 있다. 이에 비해 오피스, 상가와 같은 수익형 부동산은 공급 부족으로 최근 들어 공실률이 빠르게 하락하고 있다.

• The Science & Technology
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• v.34 no.5 s.384
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• pp.34-37
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• 2001

무선인터넷 이용료 싸진다/불법복제의 부담 덜어주는 공짜 오피스 프로그램/인터넷을 이용해 가정과 직장을 하나로/PDA와 이동전화를 하나로

• 주택과사람들
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• s.189
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• pp.44-47
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• 2006

고층빌딩 사이로 화려한 불빛이 휘황찬란한 도시 상하이. 홍콩, 싱가포르, 노트르담 등과 함께 세계 6대 항구로 손꼽히는 상하이에는 시내를 가로지르는 상전벽해(桑田碧海)라는 말이 걸맞을 정도로 도시 전체가 고층 빌딩과 아파트로 뒤덮여 있다. 전 세계 사람들의 주목을 받고 있는 상하이 오피스 시장 그속을 들여다 보자.

• Journal of the Korea Institute of Building Construction
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• v.18 no.4
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• pp.385-394
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• 2018

There have been frequent reports of schedule delays due to various risks of remodeling projects, which are different from new construction. Therefore, this study was carried out to analyze the risk factors inherent in the remodeling project and the likelihood of schedule delay occurrence in the remodeling construction work. To analyze the relationship between the risk factors and the likelihood of schedule delays of remodeling projects, (1) a prototype of the office building remodeling work was developed through the analysis of existing case and literature, (2) a questionnaire survey was conducted on 29 construction managers who have been or are currently conducting remodeling projects, and (3) after evaluating the reliability of the collected questionnaire results, the relationship between the two elements, which denotes (i) likelihood of schedule delays per each work, (ii) importance of risk factors, and (iii) risk factors affecting schedule delay in remodeling work, was suggested. Using the results of this study, it is expected to develop a plan for preventing the schedule delay of the office building remodeling work through control the risk factors that may cause schedule delays.

• Journal of Korean Society of Steel Construction
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• v.24 no.3
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• pp.301-312
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• 2012

This paper studied the applicable case study on the BIM, based on a structural design process for office buildings. The design process and the applicable system are provided from the results of the research project on the system development of a virtual construction. The case study evaluated the work productivity and economic application of the process and the developed system. The study mainly takes steel structures into account. By using the structural analysis model and the basic design documents, it is able to create the basic construction model and the construction structural model. Likewise, the integrated model is built by IFC from the finished construction structural model. It checked the interoperability of the information among the various BIM design tools. The work environment was efficiently improved by establishing the BIM process, and work productivity could be increased with the help of the modeling automation for connections at the construction design stage.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.475-481
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• 2019

The importance of performance-based design feedback is being emphasized when it comes to the potential impact that affects all the lifecycle of the building. However, the latency and disconnection of domain expert in the sector of AEC/FM remain current obstacles between design and performance feedback. It is hard to utilize performance feedback information for design exploration and support design decision making during the conceptual phase of design. Using parametric design, this paper proposes various design alternatives from a set of rules and constraints defined by algorithms for the geometric configurations of an Office Building. A Building Performance Analysis (BPA) was to developed using Autodesk® Revit® 2019 which integrates Autodesk® Green Building Studio® to predict its sufficient daylighting conditions of the LEED v4's Daylighting Autonomy (DA). The parametric-based performance feedback of this study outlines potential design improvements for further exploration in application to the early design process.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.3
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• pp.429-442
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• 2020

The proportion of attacks via office documents is increasing in recent incidents. Although the security of office applications has been strengthened gradually, the attacks through the office documents are still effective due to the sophisticated use of social engineering techniques and advanced attack techniques. In this paper, we propose a method for detecting malicious OOXML(Office Open XML) documents and a framework for detection. To do this, malicious files used in the attack and benign files were collected from the malicious code repository and the search engine. By analyzing the malicious code types of collected files, we identified six "suspicious object" elements that are meaningful in determining whether they are malicious in a document. In addition, we implemented an OOXML document-based malware detection framework based on the detection method to classify the collected files and found that 98.45% of malicious filesets were detected.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.5
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• pp.105-118
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• 2009

In modern society, as the rapid development of IT technology combined with the computer-based high-speed communication networks makes it possible to provide a wide spectrum of services and devices, we have been confronting a new cultural transformation era, referred to as the information society. However, the requirements to be considered in security aspect have became more complicated and diversified, and there remains the same security weaknesses as in the existing media or protocol. Particularly, the office network device with roaming is susceptible to the different kinds of attacks such as terminal hacking, virus attacks, and information leakage because the computing capacity is relatively low and the loading of already developed security functions is difficult. Although developed as one solution to this problems, PKI security authentication technology isn't suitable for multi-domain environments providing uonments proffice network service, and so the development of a novel authentication system is needed. Therefore, in this paper researched the roaming and device authentication/auth for multitechnology using an ID-based public key, authorization ticket, and Sub-device ticket with a purpose to contribute to the development of the secured and efficient technology.

• Korean Journal of Construction Engineering and Management
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• v.2 no.4 s.8
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• pp.135-143
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• 2001

The purpose of this study is to estimate and analyze the optimum economic life of office buildings in consideration of their LCC (Life Cycle Cost), and thereby, explore the ways to manage the outlived office buildings economically. In estimating the economic life, initial investment cost and maintenance cost are taken into due consideration. For this study, those office buildings in Yeouido and Mapo region were sampled. The surveyed details were reduced to unit area to calculate a unit value, and then, their optimum economic life was estimated using LCC. Five alternatives for management of outlived office buildings were compared in terms of reconstruction or rehabilitation cost.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.35-47
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• 2020

Box-office prediction is important to movie stakeholders. It is necessary to accurately predict box-office and select important variables. In this paper, we propose a multivariate time series classification and important variable selection method to improve accuracy of predicting the box-office. As a research method, we collected daily data from KOBIS and NAVER for South Korean movies, selected important variables using Random Forest and predicted multivariate time series using Deep Learning. Based on the Korean screen quota system, Deep Learning was used to compare the accuracy of box-office predictions on the 73^rd day from movie release with the important variables and entire variables, and the results was tested whether they are statistically significant. As a Deep Learning model, Multi-Layer Perceptron, Fully Convolutional Neural Networks, and Residual Network were used. Among the Deep Learning models, the model using important variables and Residual Network had the highest prediction accuracy at 93%.