• Journal of Labour Economics
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• v.36 no.1
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• pp.45-62
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• 2013

In this study, we revisit an empirical literature has found that neighborhood income inequality lowers people's likelihood of contributing public goods in terms of volunteering. We contribute to the literature by explicitly addressing the issues of larger and improper neighborhood choice with a census-type data and endogenous neighborhood location with some unique features of 2009 Social Survey Data by Statistics Korea. The results have confirmed that income heterogeneity lowers people's volunteering.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.803-808
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• 2023

The IoT industry is growing at a record growth rate every year, but developers face practical problems such as security, data storage, and heterogeneity between devices before developing an IoT platform. In particular, heterogeneity between devices occurs due to network type and protocol, and device firmware must be changed or multiple IoT platforms must be used in some cases. In addition, data is wasted due to redundant sensing due to the overflow of indiscriminate IoT devices. In this paper, we propose a device-independent firmware design to solve the heterogeneity between devices in the IoT platform environment where Local WAS uses the MQTT protocol.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.801-808
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• 2022

Research on how to embed knowledge in large-scale Linked Data and apply neural network models for entity matching is relatively scarce. The most fundamental problem with this is that different labels lead to lexical heterogeneity. In this paper, we propose an extended GCN (Graph Convolutional Network) model that combines re-align structure to solve this lexical heterogeneity problem. The proposed model improved the performance by 53% and 40%, respectively, compared to the existing embedded-based MTransE and BootEA models, and improved the performance by 5.1% compared to the GCN-based RDGCN model.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.824-826
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• 2003

지능형 개념기반 검색시스템(Intelligent Concept Based Retrieval System)은 구문적 서술(Syntactic Description)과 의미적 서술(Semantic Description)과 의한 상호 융합으로 이뤄질 수 있는데 컬러 히스토그램, Curvanature 히스토그램등과 같은 구운적 서술(Syntactic Description) 내용의 추출은 현재의 기술들로 잘 이를 수 있다. 또한 특정 응용 분야에서뿐만 아니라 미디어 타입에 따라서도 쉽게 사용될 수 있다. 이미 MPEG-7에서 표준화된 Description Scheme을 제공하고 있다. 그러나 기술 구조 레벨과 개요 레벨등과 같은 다양한 기술 레벨들에 의해 구문적 서술(Syntactic Description) 이질성은 발생한다. 따라서 본 연구에서는 Polygonal mesh 기반 미디어 객체 표현방법을 제시하고 이를 통해 간접적 서술 변환을 할 수 있는 방안을 제시하여 구문적 서술(Syntactic Description)에서의 이질성 문제를 해결하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.12
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• pp.2212-2220
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• 2006

Recently enterprises introduce EAI systems and legacy business which already obtained for data integration among legacy systems. EAI systems in cooperative transaction environment can be expected efficient retrieval as sharing and integrating. However existing legacy systems have to introduce particular EAI solution because it is difficult to adjust standard technology to EAI due to be managed independently without considering interoperability. For solving these problems we use metadata registry using data integration. Various types, semantic specification data heterogeneity and heterogeneity of systems, however, are occurred. Therefore retrieval system based on XMDR(extended Meta-Data Registry) for data interoperability in the web environment are proposed in this paper.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.04a
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• pp.17-21
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• 2000

TCP 프로토콜과 ATM 프로토콜과의 형태 및 제어방식의 차이로 인한 이질성 문제 때문에 ATM 층에서 한 개의 셀 손실은 상위 TCP층에서 하나의 패킷 손실을 초래하게 되어 망에 대한 충분한 QoS를 제공하지 못한다. 이러한 문제들을 해결하기 위해 처리율면에서 Early Packet Discard(EPD)와 공정성면에서 Selective Packet Discard(SPD), Fair Buffer Allocation (FBA) 등이 제안되었다. 본 논문에서는 ATM상에서 TCP 성능성향을 위해 기존의 알고리즘과 제안한 알고리즘에 대하여 비교분석하고 , VC의 수를 가변적으로 변화시켜도 제안한 알고리즘은 SPD나 FBA보다 나은 공정성을 보였고, 처리율면에서는 차이가 없음을 시뮬레이션결과를 통해 나타내었다.

• The KIPS Transactions:PartA
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• v.12A no.1 s.91
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• pp.31-40
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• 2005

In this paper, we propose XMDR(XML Metadata Registry) to guarantee the interoperability of data in distributed database, and describe a data synchronizing agent system using it. The proposal of XMDR is to solve the data heterogeneity problem in the sharing and exchanging data. Data heterogeneity problem is generated by different definition or mismatching expression of the same information. Therefore, we define XMDR with XML document by analyzing data elements based on MDR specification. The proposed synchronizing agent system using XMDR not only solves data heterogeneity for data interoperability in synchronizing data but also provides more efficient the agent system by offering errors of low frequency in the number of systems and requests of synchronizing data.

• Environmental and Resource Economics Review
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• v.27 no.4
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• pp.695-723
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• 2018

Recently, extreme weather due to climate change has become more frequent, and increase of fine dust has worsen air quality in Korea. Therefore, not only negative perception on coal-fired power generation is dominant, but also the social acceptance of nuclear power generation declines. This study aims at deriving consumer preferences on the mid and long term power mix with various energy sources. Willingness to pay for each generation source was estimated and the preference heterogeneity of consumers was examined by using mixed logit and latent class models. Mixed logit estimation results show that the preference heterogeneity of consumers is especially large for the nuclear power relative to renewable or coal energy. According to the estimation results from the latent class model, group 1 prefers renewable energy while group 2 prefers coal energy. Group 3 shows lexicographic preference which means restricted rationality. As for the policy implication, it is necessary to understand the preference heterogeneity of consumer groups in planning the mid to long term power mix.

• Korean Journal of Logic
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• v.6 no.2
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• pp.135-158
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• 2003

베이즈주의는 믿음의 정도라는 확률의 의미해석과 수학적 확률론에 의한 계산체계를 기초로 하여 가설과 증거간의 입증(confirmation) 관계를 명료하게 분석한다. 베이즈주의는 증거 E가 가설 H를 입증한다는 것을 PR(HIE&K)-PR(HIK)>0으로 정의한다. 그러나 이러한 분석이 과연 과학자들의 입증개념을 올바로 반영하고 있는가 하는 비판이 오래된 증거(old evidence)의 문제로부터 제기되었다 오래된 증거는 이미 알려진 정보이기 때문에 완전한 확률 값 1을 부여받는다. 이 때 오래된 증거가 가설을 입증할 수 있는가 하는 질문은 베이즈주의자와 실제 과학자 사이에 서로 다른 답변을 도출한다. 먼저 베이즈주의에 따르면 오래된 증거가 가설을 입증할 수 없다. 그것은 PR(EIK)=1일 때 PR(HIK)=PR(HIE&K)의 결과가 도출되기 때문이다. 하지만 과학사의 여러 예들로부터 제시되는 실제 과학자들의 입증개념에 따르면 오래된 증거가 가설을 입증하고 있다. 필자는 이와 같은 입증개념의 이질성 문제가 다만 어떤 증거가 입증 가능한 것인지를 구분해야 하는 질적인(qualitative) 문제일 뿐만 아니라 증거가 가설을 어느 정도 입증하는지 하는 입증도를 정확하게 측정해야 하는 양적인(quantitative) 문제라는 점을 밝힌다. 특히 필자는 양적인 문제를 해결하면 질적인 문제가 자연히 해결된다는 점을 밝히고, 반 프라센이나 가버가 제안한 전략이 모두 질적인 문제만을 다루기 때문에 부분적인 해결책에 지나지 않는다는 점을 밝힘으로써 오래된 증거의 문제의 본질은 양적인 문제에 있다는 점을 주장한다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.9
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• pp.904-917
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• 2010

Much research on ontology has been done during the last decade in order to represent knowledge and connect data semantically in AI and Semantic Web areas. However, ontologies might be represented and defined in different ways depending on knowledge and intention of users. It causes heterogeneity problem that the same concept can be differently expressed. This paper introduces a XOB (XMDR-based Ontology Builder) system based on XMDR to resolve the problem. XOB creates ontologies by reusing classes and relations defined in XMDR. XOB therefore is able to either solve or minimize the heterogeneity problem among ontologies. This paper introduces the conceptual model and overall architecture of the proposed system XOB. This paper defines the process, algorithm, ontology generation rule that is required to create ontologies by using concepts registered in XMDR. Our proposal supports higher standardization than the previous approaches, and it provides many advantages such as consistent concept usage, easy semantic exchange, and so on. Therefore, XOB enables high-quality ontology creation and reduces cost for ontology integration and system development.