• Journal of the Korea Computer Industry Society
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• v.10 no.3
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• pp.73-78
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• 2009

This paper designed Object-orientid Meta_data operation module that introducted new Meta_class basis the Meta_Classfication model. In order to implement this Data model, we have introducted heurilistic class to traditional object-orinted database. And we designed Meta_data operation module for Inplemetated Meta_data that basis on the heurilistic classficasion model using stored Meta_data in extened object-oriend data model.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.276-279
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• 2005

Many large organizations that have allocated resources to Data Administration(DA) have DA-context meta data mining. Also meta data is an interesting topic in the data warehouse world. This conceptual view gradually cleared up, and recently we have been talking more confidently about the back-room and front-room meta data. We describe the processes and problems that characterize the general architecture of s meta data mining system to do improve management efficiency that require further research and development.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.75-85
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• 2003

This study develops the System(MetaGene) to create meta-data for learning object based on SCORM including meta-data of Assets. SCO, Contents Aggregation and metadata of Contents Package. API function cocle is embeded in Learning Object for interfacing API adopter in LMS to support SCORM and for tracking on learning process based on data models. Also, the learning objects are packaged the PIF(Packaged Interchange File) to transmit with LMS. MetaGene is verified by $SCORM^{(TM)}$ Conformance TestSuite for meta-data of learning objects, manifest file of Contents Packaging.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2000.05a
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• pp.201-209
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• 2000

정보산업의 발달과 함께 일반 사용자들의 데이터베이스의 사용이 증가함에 따라 부정확한 자연어 질의 처리를 할 수 있는 인공 지능적인 질의시스템이 필요하게 되었다. 이러한 질의시스템이 자연어 질의를 처리하려면 불확실한 데이터들에 대한 정보를 제공하는 MetaData가 반드시 필요하고, 데이터베이스 분야와 인공지능 분야의 이론들을 바탕으로 MetaData의 정형화 및 분류가 필요하다. 본 연구에서는 퍼지이론, 확률이론을 기초로 하여 소속척도, 근접추론, 유사관계, 데이터마이닝 기법 등을 이용하여 MetaData를 정형화하고 분류하였다.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.315-321
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• 2013

The ROK military has established the MND-AF (Ministry of National Defense- Architecture Framework) and is applying it when developing architecture for Enterprise (MND), Segment (component) and Solution (weapons and force support system). The AMM (Architecture Meta model) of the MND-AF supports the establishment of interoperability by systematizing the architecture information structure defined by the Architecture artifact, describing the relationship between data and also by liking reference models and Information technology standard, common components, and MND-Meta data. which are interoperability standards. However, the MND-AMM has insufficient linkage with the standards, which places constraints on applying interoperability standards when developing Solution architecture. This study suggests a logical data model (OV-7c) from the MND-Meta-data-based Architecture meta model that will enhance the application of MND meta data managed by the MND interoperability standard when developing Solution architecture.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.98-107
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• 2018

In this paper, we propose a method to classify the skeletal maturity with a small amount of hand wrist X-ray image using deep learning-based meta-learning. General deep-learning techniques require large amounts of data, but in many cases, these data sets are not available for practical application. Lack of learning data is usually solved through transfer learning using pre-trained models with large data sets. However, transfer learning performance may be degraded due to over fitting for unknown new task with small data, which results in poor generalization capability. In addition, medical images require high cost resources such as a professional manpower and mcuh time to obtain labeled data. Therefore, in this paper, we use meta-learning that can classify using only a small amount of new data by pre-trained models trained with various learning tasks. First, we train the meta-model by using a separate data set composed of various learning tasks. The network learns to classify the bone maturity using the bone maturity data composed of the radiographs of the wrist. Then, we compare the results of the classification using the conventional learning algorithm with the results of the meta learning by the same number of learning data sets.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.7
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• pp.1567-1574
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• 2012

Since a migration method of the mobile agent is a factor that affects the overall performance of the entire distributed system, it is necessary to find efficient migration methods of the mobile agent within the sensor network and to collect and store data related to various components(server, sink and sensor node) of the sensor network, thereby providing consistent naming services. Accordingly, this paper presents design and implementation of MetaTable that is divided into MetaData where information on the sensor data server is stored and SubMetaData where various types of information on sink nodes and data on sensor nodes connected with the sink nodes is stored. Moreover, the paper also presented the implementation of forward migration of an active rule mobile agent applying the naming method based on RMI that used the meta_table and proposed the possibility of constructing efficient sensor network application environment. In this paper, for registration, release and retrieval methods suitable for new sensor network environment, we designed and implemented the naming agent by applying J2EE model based on RMI-IIOP(Internet Inter-ORB Protocol) technique.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.966-969
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• 2012

This study suggests a query conversion method based on Topic Maps MetaData Registry(TMDR) in order to solve heterogeneity problems distributed in networks and to integrate data efficiently. In order to integrate distributed data, TMDR provides global schema and it solves heterogeneity problem within local data using query conversion method. After analyzing relationship between Meta Schema Ontology(MSO) of eXtended Meta Data Registry(XMDR) and Topic Maps, this method allows integrated access through Meta Location(ML) which manages accessing information of local data. The processing method is to produce a global query for global processing by using TMDR and then to make the produced global query approach to systems distributed through networks so that allows integrated access at the end. For this, we propose a method to convert a global query into a query which is adaptive to local query.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.502-505
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• 2014

최근 들어, 모바일 기기의 시스템을 장악하여 중요 정보를 빼내는 등의 악성 행위를 위해 Code Reuse Attack (CRA) 이 널리 사용되고 있다. 이러한 CRA 를 막기 위한 방법으로 branch 의 trace 를 분석하여 CRA 고유의 특성을 찾아내는 Signature 기반 탐지 기술이 있다. 이러한 탐지 기술을 효율적으로 지원하기 위하여, 본 논문에서는 ARM 프로세서용 바이너리를 분석하여, signature 분석을 위해 필수적으로 분석되어야 하는 gadget 의 크기를 빠르게 접근할 수 있는 meta-data 를 생성하는 기술을 제안한다. 이러한 meta-data 를 활용하는 방식은 gadget 의 크기를 계산하는 추가적인 코드의 수행을 제거해 주므로, 더욱 효율적으로 CRA 를 탐지할 수 있도록 도와준다. 실험 결과, 이러한 meta-data 는 본래의 바이너리 코드 대비 9% 만의 크기 증가를 일으키는 것으로 나타났다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.6_1
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• pp.559-565
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• 2012

The purpose of the present study is to suggest the meta data of the attribute mapping for interoperability from IFC to CityGML. For this, we analyzed the interoperability issue including the neutral information model structure such as IFC, CityGML. To solve the interoperability problem between IFC and CityGML model which is the neutral GIS format, We proposed the meta data including the mapping rule. The meta data is consists of the connection information between BIM and GIS model, the mapping rule based on the perspective of the use-case, the operator and the attribute. By using this, XML to represent the meta data is defined and the information mapping system is developed.