• Title/Summary/Keyword: data architecture

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A Study on the Regionally Customized Urban Regeneration and Maintenance of Small and Medium Cities Using Spatial Big-Data - Focused on the Residential Census Output Area - (공간 빅데이터를 활용한 중소도시 지역맞춤형 도시재생·유지관리 연구 - 주거지역 집계구를 중심으로 -)

  • Han, Da-Hyuck;Lee, Min-Seok
    • Journal of the Korean Institute of Rural Architecture
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    • v.23 no.2
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    • pp.9-16
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    • 2021
  • The purpose of this study is to maintain the existing characteristics of the city by utilizing the physical decline status and floating population in small and medium cities residential areas. In addition, it intends to present the direction of flexible urban regeneration and maintenance by reflecting regional characteristics and current status. A total of three data were used in this study. Building data, floating population data, and census output area data were used. Building data and floating population data were classified into five classes. The graded data were joined to the census output area data and analyzed by overlapping the two data. As a result of analysis of 17 residential areas in 5 small and medium cities in Jeollanam-do, 4 types, 2 management models, and 4 indicators could be presented by grade and regional characteristics. This study is meaningful in that it is possible to plan regionally customized urban regeneration/maintenance management plans and projects through the typology of the current status and characteristics of the region, which is an important step in the bottom-up form.

Prediction of chloride binding isotherms for blended cements

  • Ye, Hailong;Jin, Xianyu;Chen, Wei;Fu, Chuanqing;Jin, Nanguo
    • Computers and Concrete
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    • v.17 no.5
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    • pp.655-672
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    • 2016
  • A predictive model for chloride binding isotherms of blended cements with various supplementary cementitious materials (SCMs) was established in this work. Totally 560 data points regarding the chloride binding isotherms of 106 various cements were collected from literature. The total amount of bound chloride for each mixture was expressed a combinational function of the predicted phase assemblage and binding isotherms of various hydrated phases. New quantitative expressions regarding the chloride binding isotherms of calcium-silicate-hydrate (C-S-H), AFm, and hydrotalcite phases were provided. New insights about the roles of SCMs on binding capabilities of ordinary portland cements (OPC) were discussed. The proposed model was verified using separate data from different sources and was shown to be reasonably accurate.

The Development of the Simulation Input Library (시뮬레이션 입력값 라이브러리 구축)

  • Kang, Su-Hyun;Yu, Ji-Suck;Baek, Seung-Hyo;Cho, Young-Hum;Kim, Kwang-Woo
    • 한국태양에너지학회:학술대회논문집
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    • 2011.04a
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    • pp.287-292
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    • 2011
  • It has found that the using library base on criteria of a foreign country resulted in problem of reliability. In order to obtain reliable result, it was necessary to develop the simulation input library based on domestic condition. So, this study was conducted for making the library in accordance with domestic condition when doing simulation modeling about the exist and new buildings. The range of library were consist of material, facility systems, schedules and weather data. And Energy Plus program was used when making library. We hope that the developed library will contribute to reliability when simulating exist and new buildings.

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A Study on the Changing Process in Hospital Architecture - A Case Study on the J University Hospital - (병원건축의 변화과정에 관한 연구 - J대학부속병원을 대상으로 -)

  • Choi, Kwang-Seok
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.14 no.4
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    • pp.21-30
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    • 2008
  • Domestic hospital architectures were developed with the nation's industrialization after 1960s. Particularly, with the rapidly growing healthcare demands according to The National Health Insurance Plan which was introduced in 1977 and expanded to entire nation in 1989, the number of healthcare facility is also increasing according to the expansion of the existing facilities and construction of new buildings. Now, twenty to thirty years were past since that growing period of healthcare architecture. Many hospitals are facing on the phase of restructuring and modernization for their resources. J university hospital is a representative case of hospital development which the growth of facility was stopped by insufficient site area. This study, analysing its past statistics and drawing data of that hospital, presents the characteristics of the changes and basic data of the master planning for the future hospital development.

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Enterprise Architecture for Linking Administrative Affairs and Spatial Information (행정업무에 공간정보 연계활용을 위한 엔터프라이즈 아키텍처)

  • Youn, Jun-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.16 no.3
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    • pp.95-103
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    • 2008
  • Spatial information is essential for administrative affairs. So many Administrative Information System(AIS)s and Geographic Information System(GIS)s have been implemented at local government to support administrative affairs. AIS deals with document based information, and is not designed to use map information. Also, various information is not matched, because address systems for AIS and coordinate system for GIS are different. Therefore, existing AIS and GIS are not suitable for linking administrative affairs and spatial information. This paper deals with the enterprise architecture for local government to support the linkage of administrative affairs and spatial information. Enterprise architecture in this paper is composed of business architecture, data architecture, application architecture, and technical architecture. Each architecture is designed up to planner's and owner's level. Detail structures of each architecture follow the practical guidance for applying e-government enterprise architecture in Korea. Business and data architecture are applied to transportation administrative affairs.

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A Study on the Optimum Range of Space Depth for Hospital Architecture Planning Focused on System (체계중심병원건축계획을 위한 공간깊이의 적정범위에 관한 연구)

  • Kim, Eun Seok;Yang, Nae Won
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.22 no.4
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    • pp.47-55
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    • 2016
  • Purpose: Growth and change are the most important things in planning of hospital architecture. It is especially necessary for countless changes taken place since the hospital opens to be adapted to the planning of hospital architecture phase. The space depth in the hospital serves a very crucial role in accepting these changes. The purpose of this study is to provide basic data necessary to space depth planning to prepare for change through analyzing space depth's change in hospital architecture chronologically. Methods:: The method of this study is analyzing space depth's change in cases of 19 hospitals in total, from the 1980's, which is the quantitative growth period, until recently. Especially this study is analyzing Max & Min space depth focusing change of medical environment. Based on this, this study suggests an form of space depth and optimum range of space depth response to growth and change of hospital architecture. Results: The conclusions of this study are as follows. Considering these conclusion, double linear system is most appropriate for space depth for hospital architecture planning focused on system. Optimal range of space depth is at least 21.6m or more in case of clinic room and from 27 meter to 37meter in case of examination & treatment room. Implications: Space of Depth is a key element determining system for hospital architecture planning focused on system. The results of this paper can be data for planning system of hospital architecture which copes with the change.

Typology of Lao Vernacular Dwellings and Settlements in Context of Cultural and Physical Environment

  • Vongvilay, Xayaphone;Kang, Young-Hwan;Kim, E-doo;Seong, In-Soo;Choi, Joong-Hyun
    • Architectural research
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    • v.17 no.4
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    • pp.127-137
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    • 2015
  • A typology study is a comparative study of the physical characteristics of the built environment divided into distinct types such as architecture, culture, and environment. Lao vernacular dwellings were initially created based on the Lao people's behavior in terms of beliefs, traditional culture, lifestyle, and local wisdom with regard to the environment, climate, geography, and materials. The main research method used in this study is a comparative case study of three ethnic dwellings. The multiple data collection tools employed included second source data and primary data to analyze the findings of the unique characteristic typology of Lao vernacular dwellings. The objective of this paper is to compare the cultural and physical contexts, the patterns and origins of settlement, the architecture, the cultures, and the local indigenous knowledge related to the dwellings and settlement of the three main ethnic groups. These three groups are rich in tradition and their documentation is therefore essential for the intellectual history of the society of Lao; this research could therefore aid in enhancing our understanding of the three typologies of Lao vernacular architecture and settlement within the historical and sociocultural contexts of each ethnicity to convey an understanding of Lao vernacular dwellings by analyzing their different types to help identify the differences and similarities among architectural artifacts by recognizing the invisible connections between them, whereby the figurative ornamentation is based on the relationship between man and nature. This study also provides a glimpse of the living culture and characteristic features of Lao vernacular architecture.

A Study on Big Data Platform Based on Hadoop for the Applications in Ship and Offshore Industry (조선 해양 산업에서의 응용을 위한 하둡 기반의 빅데이터 플랫폼 연구)

  • Kim, Seong-Hoon;Roh, Myung-Il;Kim, Ki-Su
    • Korean Journal of Computational Design and Engineering
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    • v.21 no.3
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    • pp.334-340
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    • 2016
  • As Information Technology (IT) is developed constantly, big data is becoming important in various industries, including ship and offshore industry where a lot of data are being generated. However, it is difficult to apply big data to ship and offshore industry because there is no generalized platform for its application. Therefore, this study presents a big data platform based on the Hadoop for applications in ship and offshore industry. The Hadoop is one of the most popular big data technologies. The presented platform includes existing data of shipyard and is possible to manage and process the data. To check the applicability of the platform, it is applied to estimate the weight of offshore plant topsides. The result shows that the platform can be one of alternatives to use effectively big data in ship and offshore industry.

Comparison of Methodologies for Typical Meteorological Data Generation for Seoul (서울지역의 표준기상데이터 산출방법론 비교)

  • Yoo, Ho-Chun;Park, So-Hee;Kim, Kyoung-Ryul
    • Journal of the Korean Solar Energy Society
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    • v.28 no.2
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    • pp.10-18
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    • 2008
  • This study aims to figure out typical meteorological data according to Korean time in order to evaluate building energy performance. Various methods of calculating typical meteorological data were compared and examined to improve accuracy and reliability of this study. This study analyzed and examined such methodologies as typical meteorological data for HASP/ACLD-8001, UK CIBSE TRY developed by CIBSE and prEN ISO 15927-4, (=ISO TRY) an international standard to evaluate annual energy demand of cooling and heating devices. In addition, actual data of KMA corresponding to Seoul in $1985{\sim}2005$ were statistically analyzed according to calculation methodology. The calculated typical meteorological data were compared te actual data using MBE, RMSE and t-Statistic. As a result, According to the comparison between average annual for HASP/ACLD-8001 and ISO TRY standard year, the average annual for HASP/ACLD-8001 is closer to actual measurement, showing that the use of typical meteorological data for HASP/ACLD-8001 is preferred. However, since the input format requested by current simulation is the same international standard as TRY. Therefore, it is necessary to improve accuracy of TRY calculation methodology and accordingly figure out Korean typical meteorological data based on average year.

IoT data analytics architecture for smart healthcare using RFID and WSN

  • Ogur, Nur Banu;Al-Hubaishi, Mohammed;Ceken, Celal
    • ETRI Journal
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    • v.44 no.1
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    • pp.135-146
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    • 2022
  • The importance of big data analytics has become apparent with the increasing volume of data on the Internet. The amount of data will increase even more with the widespread use of Internet of Things (IoT). One of the most important application areas of the IoT is healthcare. This study introduces new real-time data analytics architecture for an IoT-based smart healthcare system, which consists of a wireless sensor network and a radio-frequency identification technology in a vertical domain. The proposed platform also includes high-performance data analytics tools, such as Kafka, Spark, MongoDB, and NodeJS, in a horizontal domain. To investigate the performance of the system developed, a diagnosis of Wolff-Parkinson-White syndrome by logistic regression is discussed. The results show that the proposed IoT data analytics system can successfully process health data in real-time with an accuracy rate of 95% and it can handle large volumes of data. The developed system also communicates with a riverbed modeler using Transmission Control Protocol (TCP) to model any IoT-enabling technology. Therefore, the proposed architecture can be used as a time-saving experimental environment for any IoT-based system.