• Journal of the Korean Geographical Society
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• v.45 no.5
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• pp.573-591
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• 2010

In this study, trends of heat waves in the populous Seoul metropolitan area over the last 100 years (1908-2007) and spatio-temporal patterns of extreme heat waves and excessive human mortality are examined. In spite of recent global warming, there is no observable increasing or decreasing pattern in the frequency and intensity of heat waves in Seoul due to increases of summer precipitation. Among numerous episodes over the last 100 years in Seoul, 1994 summer is recognized as the unprecedented, most extreme hot episode with long-lasting, intense heat waves Meteorological data observed at the Automatic Weather Stations (AWS) and land surface temperature data derived from Landsat TM satellite imagery in July 1994 reveal that extreme heat waves cause more abnormal increase of elderly mortality in the urbanized areas than in the surroundings covered with more vegetation. This study provides bioclimatological evidences of why urban thermal environments should be seriously considered in the future urban revitalization planning.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.322-330
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• 2009

Traffic congestions in local cities have been getting worse since 1990s, so many local governments have considered the introduction of an LRT system. So far, there is no city operating the LRT due to social environments, financial reasons, feasibility and so on. But still many cities have examined LRT or started the construction. Until now, more than 30 cities are constructing LRT or planning the introduction of LRT and it becomes 96 routes, approximately 700km. With the support of MLTM, KRRI has developed automatic LRT system with rubber-wheels, K-AGT as a result of "LRT system technology development project" from 1999 to 2005 by investing 50.32 billion wons(the public 37, the private 13.32) and finished running durability test of 100,000km at Kyeong-san test line. Currently, two trains, coupled two cars respectively have running and signaling tested. K-AGT was appointed to supply for an extension line at Busan Subway Line 3(Minam-Anpyeong section) with 17 trains(six-unit car) 102 cars. However, except for Minam-Anpyeong section, other cities such as Uijeongbu, Yongin, Daegu(Line 3) and Kwangmyeong decided to use the foreign systems, not to use the product, a result of national R&D project. This results in a huge waste of foreign currency and it is expected to require much additional cost for maintenance. If local governments use the products of national R&D projects, many national benefits such as reducing imports and protecting home industries could be expected, therefore in this paper, some plans to encourage to use products of national R&D projects were dealt with.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.268-275
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• 2014

In future, hospitals are expected to automatically issue remote transcriptions. Many general hospitals are planning to encrypt their medical database to secure personal information as mandated by law. The electronic medical record system, picture archiving communication system, and the clinical data warehouse, amongst others, are the preferred targets for which stronger security is planned. In the near future, medical systems can be assumed to be automated and connected to remote locations, such as rural areas, and islands. Connecting patients who are in remote locations to medical complexes that are usually based in larger cities requires not only automatic processing, but also a certain amount of security in terms of medical data that is of a sensitive and critical nature. Unauthorized access to patients' transcription data could result in the data being modified, with possible lethal results. Hence, personal and sensitive data on telemedicine and medical information systems should be encrypted to protect patients from these risks. Login passwords, personal identification information, and biological information should similarly be protected in a systematic way. This paper proposes the use of electronic acupuncture with a built-in multi-pad, which has the advantage of being able to establish a patient's physical condition, while simultaneously treating the patient with acupuncture. This system implements a sensing pad, amplifier, a small signal drive circuit, and a digital signal processing system, while the use of a built-in fuzzy technique and a control algorithm have been proposed for performing analyses.

• Journal of Information Technology Applications and Management
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• v.21 no.2
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• pp.81-98
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• 2014

Recently, due to external environment like the changes in health policy and various healthcare accreditations, along with hospital's internal efforts to improve the quality of medical services, demands for the development of medical information systems are increasing. Some examples are clinical information like DUR (Drug Utilization Review), CVR (Critical Value Report), and automatic benefit processing by treatment purposes, or hospital DSS (Decision Support System) on overall medical practice. Such systems act as a guide in making clinic judgments during practice or in other medical practice, and their effects on the medical treatment improvements are being proven by previous studies. In the reality of increasing attention in the effects of medical treatment improvement, studies related to hospital DDS were mostly focused on clinical, technical, and engineering points of view, and studies focusing on the user viewpoint are very limited. In order to verify the effects of DSS on practice improvements and hospital's management performance, this study used a research model constructed to verify how SERVQUAL of hospital DSS affects hospital management performance in BSC (Balanced Score Card) point of view. To empirically verify the research model, a questionnaire was conducted on the basis of "K-University Hospital's DSS" on clinicians and hospital employees related to system development, and the relationships between the factors were analyzed through path analysis. As a result of path analysis, excluding reactivity, tangibility, confidence, reliability, empathy among service qualities, had partially significant effects on management performance factors (learning and growth, internal process, financial affairs). This study is to prepare the theoretical ground on the management performance analysis of hospital DSS, and suggest the service quality of the system that should be considered in the planning and development stages for improved system.

• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.451-462
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• 2009

The spread of satellite image increases various services using it. Especially, 3D visualization services of the whole earth such as $Google\;Earth^{TM}$ and $Virtual\;Earth^{TM}$ or 3D GIS services for several cities provide realistic geometry information of buildings and terrain of wide areas. These service can be used in the various fields such as urban planning, improvement of roads, entertainment, military simulation and emergency response. The research about extracting the building and terrain information effectively from the high-resolution satellite image is required. In this paper, presents a system for effective extraction of the building model from a single high-resolution satellite image, after examine requirements for building model extraction. The proposed system utilizes geometric features of satellite image and the geometric relationship among the building, the shadow of the building, the positions of the sun and the satellite to minimize user interaction. Finally, after extracting the 3D building, the fact that effective extraction of the model from single high-resolution satellite will be show.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.162-175
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• 2018

Currently, electricity consumption and feedback mechanisms are being widely researched in Internet of Things (IoT) areas to realise power consumption monitoring and management through the remote control of appliances. This paper aims to develop a smart electricity utilisation IoT platform with a deep belief network for electricity utilisation feature modelling. In the end node of electricity utilisation, a smart monitoring and control module is developed for automatically operating air conditioners with a gateway, which connects and controls the appliances through an embedded ZigBee solution. To collect electricity consumption data, a programmable smart IoT gateway is developed to connect an IoT cloud server of smart electricity utilisation via the Internet and report the operational parameters and working states. The cloud platform manages the behaviour planning functions of the energy-saving strategies based on the power consumption features analysed by a deep belief network algorithm, which enables the automatic classification of the electricity utilisation situation. Besides increasing the user's comfort and improving the user's experience, the established feature models provide reliable information and effective control suggestions for power reduction by refining the air conditioner operation habits of each house. In addition, several data visualisation technologies are utilised to present the power consumption datasets intuitively.

• Korean Journal of Remote Sensing
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• v.20 no.6
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• pp.397-408
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• 2004

In this study, surface temperature which was extracted from Landsat TM band 6 was compared and analyzed with the AWS(Automatic Weather System) observation data for studying urban heat environment properties with possibility of remote sensing data application. In order to verification of the distribution properties of urban surface temperature, correlation analysis between surface temperature and NDVI, the distribution properties of urban surface temperature by land use/cover patterns were carried out by GIS spatial analysis techniques. The results presented that the spatial distribution of urban surface temperature was very different depending on various land use/cover patterns of surrounding areas. Also there was the reverse linear relationship between surface temperature and NDVI. These results will be worked as one of the major factors for environmentally sustainable urban planning considering the characteristics of weather environments in the near future.

• Journal of The Korea Institute of Healthcare Architecture
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• v.25 no.3
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• pp.15-23
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• 2019

Purpose: As the medical laboratories in general hospitals have made an efforts on quality management and employee health, they recognized the need of design guideline for clinical laboratory. As laboratories are prohibited to patients, their environments are becoming more congested and deteriorated as time goes by. So, this study investigates the current status of facility and equipment of laboratory medicine focusing on less than three hundred patient bed hospitals, and searches the improving matters. Methods: Questionnaires to technologist captains and field surveys to medical laboratories in korean hospitals have been conducted for the data collection. 18 answers have been analysed statistically by MS Excel program. Results: The result of this study can be summarized into followings. Clinical laboratory functions are all hematology, clinical chemistry, immunology, transfusion and urine microscopy, and except for three including microbiology for infection and bio safety level. Average man power of lab are 12.3 man including lab director and captain. Patient bed number, space area and total specimen numbers are not correlated with each other, but specimen numbers and employee number are correlated with. Work space distances are usually good, but exit distances are not adequate for escape owing to obstacles. Specimen delivery system by courier, test method by automatic analyzer, access floor for exposed plumbing and electricities are more practical. Open lab layed out in the center and lab support layed peripheral in space diagram. Lab space configuration by SD method showed that lab support area and employee support area are dissatisfied. Implications: Specialized hospital and yearly total specimen numbers are related to the space area and organization for laboratory planning and design.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.11
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• pp.69-78
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• 2019

The purpose of this study is to propose a modeling methodology through the exchange of coordinate data of a three-dimensional custom curtain wall panel between Rhino and Revit, and to examine the validity of the model implemented in the drawing. Although the modeling means and method are different, a fundamental principle is that all three-dimensional modeling begins by defining the position of the points, the most primitive element of geometry, in the XYZ coordinate space. For the BIM modeling methodology proposal based on this geometry basic concept, the functions and characteristics associated with the points of Rhino and Revit programs are identified, and then BIM implementation process model is organized and systemized through the setting of the interoperability process algorithm. The BIM implementation process model proposed in this study is (1) Modeling and panelizing surface into individual panels using Rhino and Grasshopper; (2) Extraction of vertex coordinate data from individual panels and create CSV file; (3) Curtain wall modeling through Adaptive Component Family in Revit and (4) Automatic creation of Revit curtain wall panels through API. The proposed process model is expected to help reduce design errors and improve component and construction quality by automatically converting general elements into architectural meaningful information, automating a set of processes that build them into BIM data, and enabling consistent and integrated design management.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.117-125
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• 2022

Recently, as users' interest for travel increases, research on a travel route recommendation service that replaces the cumbersome task of planning a travel itinerary with automatic scheduling has been actively conducted. The most important and common goal of the itinerary recommendations is to provide the shortest route including popular tour spots near the travel destination. A number of existing studies focused on providing personalized travel schedules, where there was a problem that a survey was required when there were no travel route histories or SNS reviews of users. In addition, implementation issues that need to be considered when calculating the shortest path were not clearly pointed out. Regarding this, this paper presents a quantified method to find out popular tourist destinations using social big data, and discusses problems that may occur when applying the shortest path algorithm and a heuristic algorithm to solve it. To verify the proposed method, 63,000 places information was collected from the Gyeongnam province and big data analysis was performed for the places, and it was confirmed through experiments that the proposed heuristic scheduling algorithm can provide a timely response over the real data.