• Title/Summary/Keyword: integrated data model

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EST Knowledge Integrated Systems (EKIS): An Integrated Database of EST Information for Research Application

  • Kim, Dae-Won;Jung, Tae-Sung;Choi, Young-Sang;Nam, Seong-Hyeuk;Kwon, Hyuk-Ryul;Kim, Dong-Wook;Choi, Han-Suk;Choi, Sang-Heang;Park, Hong-Seog
    • Genomics & Informatics
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    • v.7 no.1
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    • pp.38-40
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    • 2009
  • The EST Knowledge Integrated System, EKIS (http://ekis.kribb.re.kr), was established as a part of Korea's Ministry of Education, Science and Technology initiative for genome sequencing and application research of the biological model organisms (GEAR) project. The goals of the EKIS are to collect EST information from GEAR projects and make an integrated database to provide transcriptomic and metabolomic information for biological scientists. The EKIS constitutes five independent categories and several retrieval systems in each category for incorporating massive EST data from high-throughput sequencing of 65 different species. Through the EKIS database, scientists can freely access information including BLAST functional annotation as well as Genechip and pathway information for KEGG. By integrating complex data into a framework of existing EST knowledge information, the EKIS provides new insights into specialized metabolic pathway information for an applied industrial material.

A Real-time Monitoring Agent Design for Digital Twin-based Smart Pipe Integrated Management System (디지털 트윈 기반 스마트 파이프 통합 관리 시스템을 위한 실시간 모니터링 에이전트 설계)

  • Hong, Phil-Doo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.292-294
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    • 2021
  • The digital twin-based smart pipe integrated management system is an integrated solution for efficient operation and monitoring that we propose. We buried a waterway pipe underground with self-diagnostic and condition monitoring sensor functions. This pipe sends sensing data and accumulates it. Our system analyzes data to make smart decisions. The main functions of this system are remote control and monitoring. Therefore, "how to configure monitoring in real time" is a big issue. For this purpose, we designed a special real-time-based agent function. In this paper, to solve this problem, a layered architecture was proposed based on transmission points where sensor data are exchanged. An agent was placed in each layer to look at the lower layer and periodically monitor whether there were any changes in the sensor in real time. Finally, the agent system was designed and the conceptual model level was implemented to verify excellence.

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Time Integration Algorithm for the Estimation of Daily Primary Production (식물플랑크톤 일차생산력의 새로운 시간 적분 알고리즘)

  • Park, Jong-Gyu;Kim, Eung-Kwon
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.15 no.3
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    • pp.124-132
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    • 2010
  • In spite of the global importance of primary production of phytoplankton, some primary production data in Korean coastal waters still need to be better processed. The daily rates of water column primary production is generally estimated by integrating the primary production per unit volume over time and depth, but efforts for time integration algorithm have been conducted insufficiently. In this study a mathematical equation evaluating daily primary production integrated over time of a day is proposed and the effectiveness of the model is tested on Saemangeum Lake. The daily primary productions computed with the proposed equation were nearly the same with the results numerically integrated by substituting solar irradiance data. It was suggested that better estimation of primary production would be obtained by using monthly or weekly means of solar irradiance rather than more variable daily data. Because of the vertically heterogenous distribution of phytoplankton, it's hard to integrate the equation over depth to give the daily rates of primary production per unit area of water surface. However, the problem would be solved if, after the vertical distribution of phytoplankton was classified into several patterns and reduced to mathematical formula, every composite function of time integrated equation and chlorophyll distribution equation was integrated successfully.

A Study on the Integration of Airborne LiDAR and UAV Data for High-resolution Topographic Information Construction of Tidal Flat (갯벌지역 고해상도 지형정보 구축을 위한 항공 라이다와 UAV 데이터 통합 활용에 관한 연구)

  • Kim, Hye Jin;Lee, Jae Bin;Kim, Yong Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.4
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    • pp.345-352
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    • 2020
  • To preserve and restore tidal flats and prevent safety accidents, it is necessary to construct tidal flat topographic information including the exact location and shape of tidal creeks. In the tidal flats where the field surveying is difficult to apply, airborne LiDAR surveying can provide accurate terrain data for a wide area. On the other hand, we can economically obtain relatively high-resolution data from UAV (Unmanned Aerial Vehicle) surveying. In this study, we proposed the methodology to generate high-resolution topographic information of tidal flats effectively by integrating airborne LiDAR and UAV point clouds. For the purpose, automatic ICP (Iterative Closest Points) registration between two different datasets was conducted and tidal creeks were extracted by applying CSF (Cloth Simulation Filtering) algorithm. Then, we integrated high-density UAV data for tidal creeks and airborne LiDAR data for flat grounds. DEM (Digital Elevation Model) and tidal flat area and depth were generated from the integrated data to construct high-resolution topographic information for large-scale tidal flat map creation. As a result, UAV data was registered without GCP (Ground Control Point), and integrated data including detailed topographic information of tidal creeks with a relatively small data size was generated.

Implementation of Service Model for Data-Driven Integrated Urban Management Service Operation Using Blockchain Technology (블록체인 기술을 활용한 데이터 기반 도시 관리 서비스 통합 운영을 위한 서비스 모델 구현)

  • Choi, Sang-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.503-514
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    • 2019
  • This paper proposes a blockchain-based urban service-operation model that can enhance usability by integrating several data-driven services operated in a city. In the proposed model, in order to encourage the participation of service users, the providers of data and values that can be consumed and utilized by each service acquire incentives, and consumers can use various services by paying the incentives. In this way, the proposed service model provides a structure in which various services can be interworked within the incentive system. The characteristics of blockchain technology can also guarantee service operation and management transparency. In addition, in this paper, by establishing and operating a prototype, the efficiency and operability of the proposed model are verified. As a result, three implemented data-driven urban management services are organically inter-compatible based on the concept of the proposed integrated incentive system. In the future, the proposed service model can be applied as an elemental technology of urban operational and management architectures based on citizen participation using local currency, and by cooperating with local economic revitalization projects of interest to many local governments. It is expected that the expansion of the blockchain technology area will also be possible through convergence with smart city services.

Data-Mining in Business Performance Database Using Explanation-Based Genetic Algorithms (설명기반 유전자알고리즘을 활용한 경영성과 데이터베이스이 데이터마이닝)

  • 조성훈;정민용
    • Korean Management Science Review
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    • v.18 no.1
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    • pp.135-145
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    • 2001
  • In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

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Development of CITIS Reference Model System on Internet (인터넷 기반 CITIS 참조모델시스템 개발)

  • 주경준;조장혁;박상봉
    • The Journal of Society for e-Business Studies
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    • v.4 no.3
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    • pp.139-158
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    • 1999
  • In this paper we present the development of CITIS(Contractor Integrated Technical Information Service) reference model system which can be utilized for electronic commerce among enterprises. For the physical analysis target model, we selected switching system businesses of Korea Telecom. From analysis of life-cycle business process and data, we derived CITIS reference model containing CITIS To-Be model and CITIS scenario. Derived CITIS reference model is generalized so that it can be used not only for switching system businesses but other business areas regarding CITIS implementation. On the base of the derived CITIS reference model, We also developed CITIS information management system and CITIS-support workflow system as CITIS reference model system. Developed CITIS reference model system supports information and business process sharing among enterprises on internet and it does make a contribution to expansion of CITIS which is moving from conceptual research towards real implementation phase.

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A GRNN Classification of Statistically Designed Experiment

  • Kim, Kunho;Kim, Byungwhan
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.89.3-89
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    • 2002
  • Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data. A generalized regression neural network (GRNN) [I] is one of the architectures that have been widely used to analyze complex chemical data. I...

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Distributed CAD/CAE Environment Using STEP (STEP을 이용한 분산 CAD/CAE 환경)

  • 권기억;박명진;조성옥
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.395-399
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    • 1997
  • An international standard for the product model data, STEP, and a standard for the distributed object technology. CORBA, will play a very important role in the future manufacturing environment. These two technologies provide background for the sharing of product data and the integration of applications on the network. This paper describes a prototype CAD/CAE enviroment that is integrated on the network by STEP and CORBA. Several application servers and client software were developed to verify the proposed concept.

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Determination of the Resetting Time to the Process Mean Shift by the Loss Function (손실함수를 적용한 공정평균 이동에 대한 조정시기 결정)

  • Lee, Do-Kyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.1
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    • pp.165-172
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    • 2017
  • Machines are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. Under the process mean shift, production cost, failure cost and quality loss function cost are increasing continuously. Therefore a periodic preventive resetting the process is necessary. We suppose that the wear level is observable. In this case, process mean shift problem has similar characteristics to the maintenance policy model. In the previous studies, process mean shift problem has been studied in several fields such as 'Tool wear limit', 'Canning Process' and 'Quality Loss Function' separately or partially integrated form. This paper proposes an integrated cost model which involves production cost by the material, failure cost by the nonconforming items, quality loss function cost by the deviation between the quality characteristics from the target value and resetting the process cost. We expand this process mean shift problem a little more by dealing the process variance as a function, not a constant value. We suggested a multiplier function model to the process variance according to the analysis result with practical data. We adopted two-side specification to our model. The initial process mean is generally set somewhat above the lower specification. The objective function is total integrated costs per unit wear and independent variables are wear limit and initial setting process mean. The optimum is derived from numerical analysis because the integral form of the objective function is not possible. A numerical example is presented.