• Geotechnical Engineering
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• v.26 no.9
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• pp.33-47
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• 2010

Underground constructions continue to provide challenges to Geotechnical Engineers yet they pose the best opportunities for development and deployment of advance technologies for analysis, design and construction. The reason for this is that, by virtue of the nature of underground constructions, more data and information on ground characteristics and response become available as the construction progresses. However, due to several barriers, these data and information are rarely, if ever, utilized to modify and improve project design and construction during the construction stage. To enable the use of evolving realtime data and information, and adaptively modify and improve design and construction, the paper presents an analysis and design system, called AMADEUS, for underground projects. AMADEUS stands for Adaptive, real-time and geologic Mapping, Analysis and Design of Underground Space. AMADEUS relies on recent advances in IT (Information Technology), particularly in digital imaging, data management, visualization and computation to significantly improve analysis, design and construction of underground projects. Using IT and remote sensors, real-time data on geology and excavation response are gathered during the construction using non-intrusive techniques which do not require expensive and time-consuming monitoring. The real-time data are then used to update geological and geomechanical models of the excavation, and to determine the optimal, construction sequences and stages, and structural support. Virtual environment (VE) systems are employed to allow virtual walk-throughs inside an excavation, observe geologic conditions, perform virtual construction operations, and investigate stability of the excavation via computer simulation to steer the next stages of construction.

• Korean Journal of Health Education and Promotion
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• v.13 no.1
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• pp.45-51
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• 1996

The Korea Information Infrastructure aims at the construction of an advanced national information infrastructure, consisting of communication networks, computers, databases and multimedia terminals. In the emerging information society, a well-established national information network plays a crucial role in enhancing economic efficiency and creating national wealth. Till 2015, government plans to construct an Information Superhighway Network and to provide a telecommunication service for speedy transmission of multi-media typed information and development of various applied programs, which help government's commitment to establish nationwide infrastructure to perform a leading role as a high level information society in the 21st century. In the field of health education, the research monograph contains three main parts: health education and information, acceptability of health education; development of health education management information system. In the most remote areas, it can bring high-quality health care where none is now available. In global health care, it can enhance and standardize the quality of medical care throughout the world. Before enlarging the establishment of the health education network system, the issues from this study should be considered to improve the health status through the introduction of information technology and applications in health care.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1317-1318
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• 2015

최근 ICT 기술의 발전으로 원거리에 위치한 광역 상수도의 취수장, 가압장, 감압변실 및 배수지 등의 시설물은 중앙제어실에서 효율적인 설비운영을 위해 원격통합관리로 감시제어를 수행하여 생산성을 제고하고 있다. 단위사업장에 낙뢰 유입으로 인한 순간정전이나 오동작 등의 영향에 의한 누전차단기 트립 증상이나 제어계측설비의 시스템 다운현상이 발생할 경우에 전원설비나 계측제어설비를 복구하기 위해서는 운영자가 사업장 현장에 출동하여 설비를 복구해야만 한다. 출동에 따른 많은 시간과 비용이 발생할 뿐만 아니라 응급조치가 미흡할 경우에는 수돗물 공급 중단 등의 위험성이 발생할 소지가 있다. 본 논문에서는 단위사업장의 서지유입이나 설비 오동작 등의 원인으로 무인사업장 설비에 System down 현상이 발생하면 단위사업장에 출동하지 않고 원격의 중앙제어실에서 원격 명령 또는 자동 프로그램에 의한 전원 Reset 동작으로 현장 제어설비가 원활하게 동작함으로써 무인사업장의 효율적인 운영관리가 가능한 원격제어 전원관리시스템 구축사례를 제시하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.36-40
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• 2008

SIMS manages data for various spatial and non-spatial as integral management system to support space information administration environment and support several application works. Without being limited to spatial data that existent spatial Data Mining question language advances handling in this paper, did so that can find useful information from various data connected with automatically data collection, artificial satellite side upside service, remote sensing, GPS. Mobile Computing and data about Spatio-Temporal. Also, we designed spatial Data Mining query language that support a spatial Data Mining exclusive use system based on SIMS.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.257-264
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• 2014

This paper is to construction of the data mining preprocessing tool for efficient database marketing. We compare and evaluate the often used data mining tools based on the access method to local and remote databases, and on the exchange of information resources between different computers. The evaluated preprocessing of data mining tools are Answer Tree, Climentine, Enterprise Miner, Kensington, and Weka. We propose a design principle for an efficient system for data preprocessing for data mining on the distributed networks. This system is based on Java technology including EJB(Enterprise Java Beans) and XML(eXtensible Markup Language).

• The Journal of Information Systems
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• v.15 no.4
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• pp.247-268
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• 2006

We introduce about XBRL, eXtensible Business Reporting Language, which is widely accepted as the international standard language for business financial reporting. XBRL is a language for the electronic communication of business and financial data which is revolutionizing business reporting around the world. It provides major benefits in the preparation, analysis and communication of business information. It offers cost savings, greater efficiency and improved accuracy and reliability to all those involved in supplying or using financial data. XBRL is a kind of XML application based on the open Internet technologies. We propose a framework for enterprise information supply chain using XBRL Web services. A Web service is defined as a software system based on XML and designed to support interoperable machine-to-machine interaction over a network by the W3C. Web services are frequently just application programming interfaces (API) that can be accessed over a network, such as the internet and executed on a remote system hosting the requested services. An XBRL Web service-based enterprise information supply chain enables for companies to implement seamless information supply chains from businesses to financial institutions, to supervisory authorities, and to other stake holders for real time information access. And thereby it is expected to contribute to the increase in the value of companies due to the enhanced visibility and transparency of accounting and management.

• Journal of Korean Society of Rural Planning
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• v.18 no.3
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• pp.77-89
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• 2012

In 2003, "The National Land Use and Planning Act" (NLUP Act) was enacted unifying two old laws; "The Urban Planning Act" enacted in 1962 and "The National Land Use and Management Act" enacted in 1972. One of main reasons of unifying two acts was to extend urban planning-based development systems to rural areas for preventing uncontrolled urban sprawl in rural areas and enhancing or settlling plan-based land use system in rural areas. This paper is conducted with the following specific objectives: i) to critically review the contents of NLUP Act in terms of rational rural land use planning; ii) to evaluate plan-based land use practices in rural area by NLUP Act; iii) to appraise performance level for prevention against unplanned development activities in rural areas by NLUP Act. To accomplish these objectives, we surveyed actural state of rural land use and development system by the new act in two case study areas. Ansung city in Gyeongi province as an urban sprawl region and Hamyang county in Gyeongnam Province as a remote rural area. Study results ascertained that the new act can not effectively control rural land use and not prevent over-use of agricultural land in the positive and effective ways because of followering three points.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.191-196
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• 2002

From this year, KIGAM, one of Korean government-supported research institutes, has started new national program for digital geologic/natural resources infrastructure building. The goal of this program is to prepare digitally oriented infrastructure for practical digital database building, management, and public services of numerous types of paper maps related to geo-scientific resources or geologic thematic map sets: hydro-geologic map, applied geologic map, geo-chemical map, airborne radiometric/magnetic map, coal geologic map and off-shelf bathymetry map and so forth. As for digital infrastructure, several research issues in this topic are composed of: ISP (Information Strategy Planning), geo-framework modeling of each map set, pilot database building, cyber geo-mineral directory service system, and web based geologic information retrieval system upgrade which services Korean digital geologic maps scaled 1:50K. In this study, UML (Unified Modeling Language)-based data modeling of geo-data sets by and in KIGAM, among them, is mainly discussed, and its results are also presented in the viewpoint of digital geo-modeling ISP. It is expected this model is further progressed with the purpose of being a guidance or framework modeling for geologic thematic mapping and practical database building, as well as other types of national thematic map database building.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2232-2238
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• 2008

Most questions made for remote examinations on E-learning databank based selection system use methods of making questions automatically using degrees of difficulty. This method is the kernel of a question selection that degrees of difficulty as make test questions, and then needs continuous management for degrees of difficulty. This paper presents improved algorithms for dynamically adjustment of degrees of difficulty based on examination result that is more efficient sot of questions. We identified this algorithm is more effective as compared with previous algorithms on web-based education systems.

• Journal of Drive and Control
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• v.18 no.4
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• pp.9-18
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• 2021

This study proposes a method for creating learning datasets to recognize obstacles using deep learning algorithms in automated construction machinery or an autonomous vehicle. Recently, many researchers and engineers have developed various recognition algorithms based on deep learning following an increase in computing power. In particular, the image classification technology and image segmentation technology represent deep learning recognition algorithms. They are used to identify obstacles that interfere with the driving situation of an autonomous vehicle. Therefore, various organizations and companies have started distributing open datasets, but there is a remote possibility that they will perfectly match the user's desired environment. In this study, we created an interface of the virtual simulator such that users can easily create their desired training dataset. In addition, the customized dataset was further advanced by using the RDBMS system, and the recognition rate was improved.