• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.530-533
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• 2014

IT 산업의 발전과 함께 Big-Data 와 보안은 빠른 속도로 발전하고 정보보호를 위해 다양한 시스템을 구축하는 것보다는 이를 연계하고 활용하는 것이 중요한 시대가 도래하였다. 한 기업이 가지고 있는 기업정보유출사고 등 다양한 해킹공격 또한 꾸준하게 증가되고 있다. 더불어 경제적 사회적인 손실이 증가되면서 국가 및 기업 상위 감사 기관은 정보보호 관련 법 제도를 제정하고 이를 강화하여 개정 하고 있다. 하지만, 물리적, 관리적, 기술적으로 연계된 통합 보안 관리 체계가 제대로 구현되지 않는다면 다양한 취약점을 통하여 기업 정보는 언제든 유출 될 수 있다. 본 논문에서는 기업에서 기 운영중인 정보보안 솔루션과 물리보안 솔루션이 효과적으로 통합 보안 관제가 가능한 IMP 플랫폼 구성설계 방안과 불법 침입 및 보안 사고 탐지를 위한 복합시나리오 설계 방안을 제시하여 실 적용 효과를 알아보고 향후 연구 방향을 제시하고자 한다.

• Journal of Korean Society for Quality Management
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• v.28 no.4
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• pp.29-46
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• 2000

Advent of the distributed computing has contributed to the rapid distribution of information technology throughout the organization. While powerful and user-friendly information technology are more available to end users, managing the distributed, heterogeneous IT environment has become a serious problem for corporate IT managers. Integrated Control Architecture (ICA) enables the monitoring and controlling of the dispersed information resources for effective enterprise-wide information resource management. This paper empirically examines the propositions that the level of information resource control is positively related to IS effectiveness measured in user satisfaction. Measures are developed and validated for the control of information resource object such as data, application, platform, and control of relationships among such objects. Results from a study of 130 organizations support that the organizations with high information resource control exhibit user satisfaction.

• Journal of the Korean Society for Precision Engineering
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• v.29 no.4
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• pp.380-385
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• 2012

This paper contains the optimized M2M technology, and the information of production resource of 4M, which understanding the roles and functions of M2M Device, and the explanation of its effectiveness, and the information of optimized M2M Device in IT convergence point of view. In addition, this content also points out the optimized M2M Device, analyzes and collects various type of management information which emphasizes the need for a common platform's were Middleware, and Auto-Configuration, WebLine Monitoring, WebService through the functionality of an integrated management information supports the productions by digitizing the information with standardized data for management efficiency.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.1-11
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• 2016

Currently Korean government is rushing the new electronic government system introduced as 'platform e-government' with big data and cloud computing technologies and systems, ultimately intending to provide the public institution services customized from the integrated counter or window for the heterogeneous resident services. In this regard, this study suggested how to design the new metadata information system in which mutual integration of information systems can take place, where heterogeneous services can be shared efficiently at the application and data unit, as a separate application that can provide a single one- stop service for residents' petition at the integrated level in the back-office based on the public data in possession of each of government ministries and related organizations. If this proposed system is implemented, the achievement of customized public service can be advanced one step forward in processing the petitions of the residents by organically connected link between 'Demand Chain' and 'Supply Chain' in the integrated window. In other words, it could be made possible through the unification of both the 'Supply Chain' performed in the office space of the officials at the back-office level and the 'Demand Chain' performed in the living space of the residents at the front-office level.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.2
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• pp.1-10
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• 2016

In this paper, we consider the algorithms and numerical analysis for real-time integrated control system and resource management of large-scale manufacturing smart factory system. There various data transmitted on Cyber-Physical-System (CPS) is necessary to control in real time, as well as the terminal and the platform with respective system service. This will be a true smart manufacturing which consisting of existing research results, and a numerical analysis by the parameter-specific information. In this paper, Jacoby calculation to reflect the optimization algorithms that are newly proposed. It also presents a behavior that optimal operational algorithm on CPS which is adapted to the sensing data. In addition, we also verify the excellence of the real-time integrated control system through experimentation, by comparison with the existing research results.

• Smart Structures and Systems
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• v.26 no.5
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• pp.559-573
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• 2020

One of the powerful data management tools is Building Information Modeling (BIM) which operates through obtaining, recalling, sharing, sorting and sorting data and supplying a digital environment of them. Employing SHM, a BIM in monitoring systems, would be an efficient method to address their data management problems and consequently optimize the economic aspects of buildings. The recording of SHM data is an effective way for engineers, facility managers and owners which make the BIM dynamic through the provision of updated information regarding the occurring state and health of different sections of the building. On the other hand, digital transformation is a continuous challenge in construction. In a cloud-based BIM platform, environmental and localization data are integrated which shape the Internet-of-Things (IoT) method. In order to improve work productivity, living comfort, and entertainment, the IoT has been growingly utilized in several products (such as wearables, smart homes). However, investigations confronting the integration of these two technologies (BIM and IoT) remain inadequate and solely focus upon the automatic transmission of sensor information to BIM models. Therefore, in this composition, the use of BIM based on SHM and IOT is reviewed and the economic application is considered.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.331-336
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• 2015

Lately, the development and utilization of technology of the Internet of Things(IoT), and Fintech have been on the rise and amid the emerging convergence of system and service, mobile payment system and location based service technology have received much attention. Considering the fact that smartphone users are currently utilizing mobile payment frequently, many corporations are introducing various methods to the market for easy payment process of consumers by grafting various technologies, and by utilizing the technology based on BLE technology and location based technology, it is emerging as new method applied to payment service such as ZEP, for easy payment process. And by checking the existence of security threats and studying the attack techniques in these payment services, we strive to suggest a method of response based on big data platform.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.1-6
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• 2019

Modern society is undergoing nutritional imbalance according to the diet as the number of one person increases. This is increasing the incidence of chronic diseases such as gastrointestinal diseases and digestive diseases. This study suggests the prediction of dietary knowledge using multiple regression analysis for preventing chronic stomach diseases. The proposed method manages user's stomach diseases and dietary nutrition through the prediction of nutrition knowledge. It collects user's PHR through smart device and integrates in the health platform. The integrated data analyzes the dietary and activity of the user through multiple regression analysis. It predicts the required nutrients and provides services to users through applications. Therefore, it suggests recommended dietary components and consumed calories, appropriate dietary components based on the user's basal metabolism, and gastrointestinal levels. With the personalized health management, modern people can manage gastrointestinal diseases through a balanced diet.

• Journal of Bio-Environment Control
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• v.27 no.1
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• pp.27-33
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• 2018

This study was performed to review the domestic and international smart farm service model based on the convergence of agriculture and information & communication technology and derived various factors needed to improve the Korean smart greenhouse. Studies on modelling of crop growth environment in domestic smart farms were limited. And it took a lot of time to build research infrastructure. The cloud-based research platform as an alternative is needed. This platform can provide an infrastructure for comprehensive data storage and analysis as it manages the growth model of cloud-based integrated data, growth environment model, actuators control model, and farm management as well as knowledge-based expert systems and farm dashboard. Therefore, the cloud-based research platform can be applied as to quantify the relationships among various factors, such as the growth environment of crops, productivity, and actuators control. In addition, it will enable researchers to analyze quantitatively the growth environment model of crops, plants, and growth by utilizing big data, machine learning, and artificial intelligences.

• Journal of Environmental Science International
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• v.25 no.10
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• pp.1433-1444
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• 2016

South Korea is a maritime nation, surrounded by water on three sides; hence, it is important to preserve in a sustainable manner. Most areas, especially those bordering the East Sea, have been suffering from severe coastal erosion. Information on the sediment yield of a river basin is an important requirement for water resources development and management. In Korea, data on suspended sediment yield are limited owing to a lack of logistic support for systematic sediment sampling activities. This paper presents an integrated approach to estimate the sediment yield for ungauged coastal basins by using a soil erosion model and a sediment delivery rate model in a geographic information system (GIS)-based platform. For applying the sediment yield model, a basin specific parameter was validated on the basis of field data, that, ranging from 0.6 to 1.2 for the 19 gauging stations. The calculated specific sediment yield ranged from 17 to $181t/km^2.yr$ in the various basin sizes of Korea. We obtained reasonable sediment yield values when comparing the measured data trends around the world with those in Korean basins.