• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.781-784
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• 2007

본 논문에서는 CFD(Computational Fluid Dynamics) 프로그램의 효율적인 수행을 위한 그리드 시스템 META(Metacomputing Environment using Test-run Application)의 구현을 위한 환경 구축에 대해서 기술한다. META는 그리드 시스템을 기반으로 하기 때문에 META의 구현을 위해서는 먼저 그리드 시스템 환경을 구축하여야 한다. 이를 위해 PBS(Portable Batch System), GT4(Globus Toolkit4), MPI(Massage Passing Interface), PVM(Parallel Virtual Machine), PVMmaker 총 5개의 프로그램이 필요하다. PBS는 각 노드로의 작업 분할을, GT4는 그리드 시스템 미들웨어 역할을, MPI와 PVM, PVMmaker는 병렬 프로그래밍 수행 및 컴파일을 위해서 사용이 된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.244-251
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• 2020

This paper presents a design of the Meta-Class Repository (MCR) which maintain syntactically analyzed and structured meta-class information from UML diagrams, and then proposes 'meta-class,' also known as super-class, to construct structured information analyzed syntactically. The MCR is a collection of these meta-classes which contains the information extracted from diagrams. This paper also presents a design of the Code Generation Engine (CGE) which roles generating codes corresponding classes from UML diagrams based on the MCR maintaining a collection of meta-classes which is syntactically-analyzed and constructed in previous process. The logics of CGE are designed to generate codes collaborated with MCR and CGE with integration. The logics of CGE mechanism is presented with the form of finite state machine to present the algorithms of code generation formally and have the advantages of simplicity and easiness in development.

• JSTS:Journal of Semiconductor Technology and Science
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• v.16 no.5
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• pp.535-541
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• 2016

A low phase noise META-VCO based-on meta-structure was designed using 65 nm CMOS process. We used a meta-structure to get good phase noise characteristics. The measured phase noises are -67.8 dBc/Hz, -96.37 dBc/Hz, and -107.37 dBc/Hz at 100 kHz, 1 MHz, and 10 MHz offset respectively. The META-VCO operates 8.45~8.77 GHz according to VCTRL, and the output power is -19.12 dBm. The power consumption is 28 mW with 1.2-V supply voltage. The calculated FOM is -140.76 dBc/Hz.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2067-2081
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• 2024

Recently, image analysis research has been actively conducted due to the accumulation of big image data and the development of deep learning. Image analytics research has different characteristics from other data such as data size, real-time, image quality diversity, structural complexity, and security issues. In addition, a large amount of data is required to effectively analyze images with deep-learning models. However, in many fields, the data that can be collected is limited, so there is a need for meta learning based image analysis technology that can effectively train models with a small amount of data. This paper presents a comprehensive survey of meta-learning-based object-tracking techniques. This approach comprehensively explores object tracking methods and research that can achieve high performance in data-limited situations, including key challenges and future directions. It provides useful information for researchers in the field and can provide insights into future research directions.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.437-439
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• 2012

두 가지 대표적인 다단계 언어인 Lisp과 MetaML의 차이를 설명한다. 실행 의미적으로 두 언어가 어떤 차이를 보이는지 설명하고, 그러한 차이가 단계 풀기 변환에서 어떻게 드러나는지 보인다. 마지막으로 두 언어의 근본적인 차이점에 대한 기원 및 각 언어의 응용에 대해 논한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.35-40
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• 2015

The paper proposes a meta-learning approach for building multi-classifier systems in a GA-based inductive learning environment. In our meta-learning approach, a classifier consists of a general classifier and a meta-classifier. We obtain a meta-classifier from classification results of its general classifier by applying a learning algorithm to them. The role of the meta-classifier is to evaluate the classification result of its general classifier and decide whether to participate into a final decision-making process or not. The classification system draws a decision by combining classification results that are evaluated as correct ones by meta-classifiers. We present empirical results that evaluate the effect of our meta-learning approach on the performance of multi-classifier systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.1A
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• pp.104-113
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• 2000

In this paper, we propose a protocol that makes use of a concept of a meta-group based on propagation trees to deal with duplicated members of the same multicast group. It is shown that, if multicast tree is composed ofthese meta-groups, the depth of the tree can be shortened and the ordering of the multicast that communicatesbetween multiple senders and receivers can be easier. In the protocol, we assign a Designated Manager(DM) toeach meta-group and make each DM do the role of the representative receiver of the meta group. In this Paper,the DM's are supposed to handle ACK and retransmission for the members in the same meta group. Hence, theDM's distribute the ACK from senders, and they can reduce the burden of senders by shortening commit delaytime. We also show, through a simulation analysis, that the new multicast protocol outperforms the existing onesnot only in message costs but also in commit delay times.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.3
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• pp.344-354
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• 2008

The ITA meta-model descriptions being promoted by Korean government was developed to build information technology architecture for applications in public institutions. However, the application of this ITA meta-model is not easy because of the complexity and overlapping between classes and attributes which reside in the ITA meta-models. Additionally, the National Defense Architecture is planned for development using the MND-AF. Since the National Defense Architecture must align with the Government ITA for interoperability and consistency, it is crucial the differences in the meta-models between MND-AF and Government ITA must be resolved. This study presents the trade-off results between the meta-models of MND-AF and Government ITA. It also proposes a set of tailored meta-models for use with the National Defense architecture development. The tailored meta-models use an ERA (Element, Relationship, Attribute) data structure that decreases complexity and eliminates the overlapping between classes and attributes.

• The Journal of Information Systems
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• v.31 no.1
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• pp.59-90
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• 2022

Purpose This paper presents a new method of classifying online platforms. It also explains how to apply the framework using case studies and generate new insight about platform strategies and policy development. Design/methodology/approach This paper focuses on the relationship between platforms, especially the hierarchy and power relations, and broadly classifies platforms as follows: content/services, meta information, app stores, operating systems, and cloud. Both the content/service platform and the meta information platform have matching as their main function. However, most content/services tend to collect and access information through meta-information platforms, so meta-information platforms are closer to infrastructure than content/service platforms. App store, operating system, and cloud can be said to be platforms of platforms. A small number of companies in the US and China dominate platforms of platforms, and become the recent development and regulatory targets of their respective governments. Findings We should be wary of the attempts to regulate domestic platforms by importing foreign regulations that ignore the hierarchical structure that our framework highlights. We believe that Korea's strategy to become a true platform powerhouse is clear. As one of the few countries with significant companies in the area of meta information platforms, it will be necessary to fully utilize the position and advance into the strategically important area of platforms of platforms. Furthermore, it is necessary to encourage world-class companies to appear in Korea in the app store, operating system, and cloud. To do so, the government needs to introduce promotion policies to strategically nurture such platforms rather than to regulate them.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1123-1126
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• 2001

현재 인터넷상에는 수많은 정보가 산재되어 있고, 사용자가 원하는 정보를 검색해주는 수많은 검색엔진들이 개발되어 사용되고 있다. 하지만 기존의 검색엔진은 사용자들이 입력한 질의어만을 가지고 단지 시소러스 사선만을 참조해서 검색결과를 나타내는 게 대부분이이서 사용자의 구미에 맞는 정보를 찾는데 어려운 점이 많았다. 이에 본 논문에서는 MetaDB안에 있는 보편적 Meta 데이터를 이용, 사용자의 간단한 정보 입력과 합께 퍼지연산을 적용시킨 매칭기법으로 사용자의 특성에 맞는 검색결과를 도출하는 퍼지 검색시스템을 제안한다.