After elderly long term care insurance implementation (July 1, 2008), the elderly medical and welfare facilities covered by medical insurance continuously increases 30 to 63% sanction annually. Rapid growth of senior citizen welfare facilities arises in a poor residential environment issues. In most cases, it is the legal minimum criteria tailored for 4 persons accommodated in nature, such as the hospital. Therefore, 'Hometown-style traditional Korean House' is needed to rest comfortable for elderly people. Research goal is to provide direction and design materials by developing a type of architectural planning for the elderly welfare facilities unit care of the atmosphere of a traditional Korean House. The following two elements are applied to the elderly welfare facilities. Senior citizen welfare facilities in the main living space are applied to modern residential space of the elderly-friendly atmosphere of a traditional Korean House. It is applied for the Korean lifestyle and residential culture are through an analysis of Japan's leading development unit care system.

Today, rapid changes in technologies and everyday lives due to the Internet make it is difficult to make predictions about the future. Generally, the best way to predict the future has been proposed by experts. Although expert opinions are very important, they are liable to produce incorrect results due to human error, insufficient information regarding future outcomes and a state of connectedness between people, among other reasons. One of the ways to reduce these mistakes is to provide objective information to the experts. There are many studies that focus on the collection of objective material from papers, patents, reports and the Internet, among other sources. This research paper seeks to develop a forecasting method using World Wide Web search results according to the Google search engine and a network analysis, which is generally used to analyze a social network analysis(SNA). In particular, this paper provides a method to analyze a complexity network and to discover important technologies in the construction field. This approach may make it possible to enhance the overall performance of forecasting method and help us understand the complex system.

환경디자인은 건축, 도시, 조경 등 서로 다른 분야의 전문가 및 대상 지역 거주하는 일반시민 등 많은 참여자를 가지는 특징이 있다. 이러한 협조설계 단계에서는, 시행착오를 최소화시키기 위해서 디자인 초기단계에서부터 각 분야의 전문가들이 계획에 관해서 협의하여 디자인 내용을 변경해 나갈 필요가 있다. 또한 대상지 지역을 누구보다 잘 이해하고 있으며 계획 후 이 지역에 살게 될 주민들의 참여도 환경디자인 단계에서 고려해야 할 중요한 요소 중 하나이다. 여러 분야의 전문가 또는 비전문가들이 서로 커뮤니케이션하고 협조하기 위해서는 누구나가 쉽게 디자인 내용을 이해 할 수 있는 커뮤니케이션 툴이 필요하다. 이러한 필요성을 만족시키기 위해서는 빠른 구축속도, 대화형 기능, 빠른 표현속도, 사실적인 표현기술 등이 필수 조건이라고 할 수 있다. 본 연구에서는 이러한 환경디자인 분야의 전 분야에서 의사결정을 지원하고 디자인 안을 검토할 수 있는 3D CG 시스템을 개발하고 이 시스템을 실제 프로젝트에 적용시켜서 활용하면서 개발된 시스템의 기능강화를 추진하며, 실제 프로젝트 적용을 통한 시스템의 평가를 진행하여 본 연구에서 개발한 시스템의 유용성을 증명하는 것을 본 연구의 목표로 한다.

The purpose of luminance measurement in lighting design of urban scale is to prevent light trespass and light pollution, caused by over-bright. Specially, the illumination of road, tunnel and sports complex as urban infrastructure is measured by international standard for illuminance and luminance. It has been used the spot luminance meter and the image photometer to define the characteristics of qualitative and quantitative in exterior lighting. This study introduced the concept of HDR Image, procedure of HDR Image creation and analysis. Applications of HDR Image, particularly within the apartment building exterior lighting design analysis, have been demonstrated. The procedure proposed in this study is a affordable method that is useful for the assessment of luminance distribution in the scene with electric light. It also provides a measurement capability with the high resolution luminance data within a large field of view efficiently and quickly, which is not possible to achieve with a luminance meter.

This study aims at understanding both the mechanism of new town's competitiveness and its normative pursuit. For the purpose the study steps as follows; (1) Defining operationally cities' competitive power by means of analytic interpretation of substantial nature involved in the preceding studies, (2) Finding some lessons for the desirable development suggested from the history of new town construction in England, France and Japan, where the spatial needs for solving urban problems were exploded after the Second World War, (3) Focusing to agendas regarding development, for example, sustainable development, (4) Recognizing differences between competitiveness of cities and that of new towns and finally (5) Building the model of new town competitiveness, which explains what makes the competitiveness and what kind of effort are necessary for acquiring the advantage. As the result of the process this study concludes that the competitiveness is caused by, or composed of 4 factors. They are Self-sufficiency, Identity, Innovativeness and Sustainability. This frame can be named SIIS-model of new town competitiveness. But there should be contingent and elastic approach in adaptation of these factors to a specific new town, considering its own goal, scale and other situation. The model established in this study is expected to be a analytical frame for the follow-up studies on finding problems and seeking directions of new town development in our country.

In this paper, we present new methods for identifying keywords for foresight topics that utilize the internet and textmining techniques to draw objective and quantified information that support experts' qualitative opinions and evaluations in foresight. Furthermore, by applying this fabricated procedure, we have derived keywords to analyze priorities in architectural engineering. Not much difference between qualitative methods of experts and quantitative methods such as text mining has been observed from comparison between technologies derived via qualitative method from "The Science Technology Vision" (control group). Therefore, as a quantitative tool useful for drawing keywords for foresight, textmining can supplement quantitative analysis by experts. In addition, depending on the level and type of raw data, text mining can bring better results in deriving foresight keywords. For this reason, research activities accommodating Internet search results and the development of textmining methods for analyzing current trends are in demand.

In space syntax, the mathmatical process to get a integration could be restrictive in understanding spatial configuration since it is based on only one behavior model. In this study, As another approach to spatial configuration analysis based on behavioral model, there is the simulation tracking analysis model that simulates the movements of human in the space and analyze them. In this study, the relationship between integration and behavioral model will be defined and the similarities and the differences between space syntax and the simulation tracking analysis model will be demonstrated. Furthermore, these two analysis models will be understood as a variety of tools that can analyze an object in multiple viewpoints.

BIM and its quantity take-off widely apply to the construction projects and LCCO2 Assessment using the BIM's quantity take-off function can be tried recently. Because BIM modeling programs such as Revit and ArchiCAD do not provide adequate library for LCCO2 Assessment, quantity take-off data should be conversed and applied to Carbon Emission Coefficient using Excel program or manual work. Therefore, the purpose of this research is 1) to propose the Unit Conversion Systems for Carbon Emission Coefficient, 2) to provide basic library sets for BIM based LCCO2 Assessment method, and 3) to apply 11 material library sets on a apartment unit plan modeling to pursue the CO2 emission evaluation of the material production in the process of LCCO2 Assessment. Research results showed CO2 emission amount of 458.64kgCO2/m2 from the apartment unit plan modeling.