• Journal of the Korean Society for Aviation and Aeronautics
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• v.24 no.2
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• pp.74-80
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• 2016

Development of air navigation and avionics technologies led to solve the problems that conventional ATM system had. The International Civil Aviation Organization developed the Aviation System Block Upgrades (ASBU) initiative in order to harmonize global ATM planning and technology upgrades and urged to implement the recommendations for the member States. The ASBUs provide the road map to assist air navigation service providers in the development of their individual strategic plans and investment decisions. In this paper, the operational concepts in 2 performance improvement areas, Airport Operations and Globally Interoperable System and Data in ASBUs, have been summarized. In Airport Operations area the new management technologies and required systems are presented for optimizing the traffic flow in airport area and terminal airspace. Data format standards and required systems presented for information integration and usage of the new system under Globally Interoperable System and Data area.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.366-370
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• 2005

Tissue microarry is one of the high throughput technologies in the post-genomic era. Using tissue microarray, the researchers are able to investigate large amount of gene expressions at the level of DNA, RNA, and protein The important aspect of tissue microarry is its ability to assess a lot of biomarkers which have been used in clinical practice. To manipulate the categorical data of tissue microarray, we applied Bayesian network classifier algorithm. We identified that Bayesian network classifier algorithm could analyze tissue microarray data and integrating prior knowledge about gastric cancer could achieve better performance result. The results showed that relevant integration of prior knowledge promote the prediction accuracy of survival status of the immunohistochemical tissue microarray data of 18 tumor suppressor genes. In conclusion, the application of Bayesian network classifier seemed appropriate for the analysis of the tissue microarray data with clinical information.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.3
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• pp.307-322
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• 1992

For designing the radar integrated data network, we construct the network structure with a spatial hieratchy decomposition scheme. The RIDN can be decomposed into several subent classes, those of which are composed of the several group classes of radar sites, In a group class. The communication nodes of a radar site are modeled by the software modules formulated with the statistical attributes of discrete events. And we get the analysis over the network through the separately constructed infra group level models which were coded with the C language.From the result of the simulation. We could findthe fact that the data integration system;s performance approaches to the theordtically calculated value after being stable. And also we could get the packet processing status of a communication module’s inner processor which is difficult to oberve through the mathematical calculation tin the subnet model of the integrated data network.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.263-266
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• 2007

This paper discusses the Bayesian statistical inference. This paper discusses the Bayesian inference, MCMC (Markov Chain Monte Carlo) integration, MCMC method, Metropolis-Hastings algorithm, Gibbs sampling, Maximum likelihood estimation, Expectation Maximization algorithm, missing data processing, and BMA (Bayesian Model Averaging). The Bayesian statistical inference is used to process a large amount of data in the areas of biology, medicine, bioengineering, science and engineering, and general data analysis and processing, and provides the important method to draw the optimal inference result. Lastly, this paper discusses the method of principal component analysis. The PCA method is also used for data analysis and inference.

• The Journal of Korea Robotics Society
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• v.4 no.1
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• pp.68-73
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• 2009

The UPnP is middleware architecture that supports dynamic distributed computing environment. It has many good features for possible use as middleware in robot system integration. There is a need for bulky binary data transmission between distributed robot S/W components. Since the UPnP utilizes SOAP protocol for message transmission, however, it is not efficient to send bulky binary data. In order to overcome this weak point, this paper proposes UPnP-MTOM, MTOM (Message Transmission Optimization Mechanism) implementation over UPnP, as an efficient way for bulky binary data transmission with UPnP messages. This paper presents our implementation method and experimental results of the UPnP-MTOM implementation.

• Annual Conference of KIPS
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• 2002.11c
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• pp.1697-1700
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• 2002

이질적인 정보 저장소를 통합하여 질의하고 검색하는 시스템들에 대한 연구가 최근 들어 XML을 기반으로 활발히 연구되고 있다. 본 논문에서는 XML 에 기반한 DB 통합 미들웨어로서 DataBlender 시스템을 소개하고 이 시스템의 한 블록으로서 무선 환경을 지원하기 위해 개발된 DataBlender.s 의 설계 및 구현에 관해 기술한다. DataBlender.s 는 동기화의 표준 언어인 SyncML 1.0을 기반으로 개발되었으며 본 논문에서는 DataBlender.s 의 모듈 구조, 타 모듈과의 연동, 동기화 처리 과정, 동기화 정보 관리 등을 기술한다.

• Proceedings of the KSRS Conference
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• v.1
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• pp.406-408
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• 2006

Various geological thematic maps such as grain size or ground water level maps have been generated by interpolating sparsely sampled ground survey data. When there are sampled data at a limited number of locations, to use secondary information which is correlated to primary variable can help us to estimate the attribute values of the primary variable at unsampled locations. This paper applies two multivariate geostatistical algorithms to integrate remote sensing imagery with sparsely sampled ground survey data for spatial estimation of grain size: simple kriging with local means and kriging with an external drift. High-resolution IKONOS imagery which is well correlated with the grain size is used as secondary information. The algorithms are evaluated from a case study with grain size observations measured at 53 locations in the Baramarae beach of Anmyeondo, Korea. Cross validation based on a one-leave-out approach is used to compare the estimation performance of the two multivariate geostatistical algorithms with that of traditional ordinary kriging.

• JSTS:Journal of Semiconductor Technology and Science
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• v.2 no.3
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• pp.197-204
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• 2002

DRAM, SRAM, and FLASH memory are three major memory devices currently used in most electronic applications. But, they have very distinct attributes, therefore, each memory could be used only for limited applications. MRAM (Magneto-resistive Random Access Memory) is a promising candidate for a universal memory that meets all application needs with non-volatile, fast operational speed, and low power consumption. The simplest architecture of MRAM cell is a series of MTJ (Magnetic Tunnel Junction) as a data storage part and MOS transistor as a data selection part. To be a commercially competitive memory device, scalability is an important factor as well. This paper is testing the actual electrical parameters and the scaling factors to limit MRAM technology in the semiconductor based memory device by an actual integration of MRAM core cell. Electrical tuning of MOS/MTJ, and control of resistance are important factors for data sensing, and control of magnetic switching for data writing.

• Korean Journal of Computational Design and Engineering
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• v.5 no.1
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• pp.71-78
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• 2000

The growths of the World Wide Web and the advances in high-speed network access have greatly changed existing CAD/CAE environment. The m has enabled us to share various distributed product data and to collaborate on a design work. An international standard for the product model data, STEP, and a standard fur the distributed object technology, CORBA, are becoming very important components in the advanced design and manufacturing environment. These two technologies provide background for the sharing of product data and the integration of applications on the network. This study describes a prototype CAD/CAE environment that is integrated on the network by STEP and CORBA. Several application servers servers and client software were developed to verify the proposed concept.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.1
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• pp.83-90
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• 2016

The emergence of cloud has been able to provide a variety of IT service to the user. As organizations and companies are increased that provide these cloud service, many problems arises on integration. However, with the advent of latest technologies such as big data, document-oriented database, and MapReduce, this problem can be easily solved. This paper is intended to design the Cloud Aggregator to provide them as a service to collect information of the cloud system providing each service. To do this, we use the DBaaS(DataBase as a Service) and MapReduce techniques. This makes it possible to maintain the functionality of existing system and correct the problem that may occur depending on the combination.