• Journal of Information Technology Applications and Management
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• v.14 no.3
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• pp.151-168
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• 2007

RFID is an emerging technology and rapidly applied to various industries due to its high-tech characteristic and convenience. Although RFID provides valuable benefits. it might also generate serious privacy problems. Previous studies show that privacy issues should be incorporated in developing RFID systems and more detailed privacy protection methods. However. they just provide basic concept, rough guideline. and simple architecture about RFID privacy protection. Industry needs more structured framework and detailed systematic process to incorporate privacy issues into the RFID system. The purpose of this paper is to develop a framework and detailed process design of RFID privacy protection issues in retail industries. A framework is developed based on individual sensitivity concept, RFID contents, and interface with EPC global standard. Case study is applied to validate the framework and it turns out to be useful. It is expected that the proposed framework and process design would provide more systematic guide lines to solving RFID privacy problems.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.3
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• pp.209-215
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• 2014

Sequence tagging is the task of predicting frame-wise labels for a given input sequence and has important applications to diverse domains. Conventional methods such as maximum likelihood (ML) learning matches global features in empirical and model distributions, rather than local features, which directly translates into frame-wise prediction errors. Recent probabilistic sequence models such as conditional random fields (CRFs) have achieved great success in a variety of situations. In this paper, we introduce a novel discriminative CRF learning algorithm to minimize local feature mismatches. Unlike overall data fitting originating from global feature matching in ML learning, our approach reduces the total error over all frames in a sequence. We also provide an efficient gradient-based learning method via gradient forward-backward recursion, which requires the same computational complexity as ML learning. For several real-world sequence tagging problems, we empirically demonstrate that the proposed learning algorithm achieves significantly more accurate prediction performance than standard estimators.

• Interaction and multiscale mechanics
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• v.6 no.2
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• pp.83-105
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• 2013

In this paper, a multi-scale meshfree-enriched finite element formulation is presented for the analysis of acoustic wave propagation problem. The scale splitting in this formulation is based on the Variational Multi-scale (VMS) method. While the standard finite element polynomials are used to represent the coarse scales, the approximation of fine-scale solution is defined globally using the meshfree enrichments generated from the Generalized Meshfree (GMF) approximation. The resultant fine-scale approximations satisfy the homogenous Dirichlet boundary conditions and behave as the "global residual-free" bubbles for the enrichments in the oscillatory type of Helmholtz solutions. Numerical examples in one dimension and two dimensional cases are analyzed to demonstrate the accuracy of the present formulation and comparison is made to the analytical and two finite element solutions.

• Journal of the Korea Society of Computer and Information
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• v.22 no.6
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• pp.57-68
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• 2017

The Linked Open Data(LOD) cloud is quickly becoming one of the largest collections of interlinked datasets and the de facto standard for publishing, sharing and connecting pieces of data on the Web. Data publishers from diverse domains publish their data using Resource Description Framework(RDF) data model and provide SPARQL endpoints to enable querying their data, which enables creating a global, distributed and interconnected dataspace on the LOD cloud. Although it is possible to extract structured data as query results by using SPARQL, users have very poor in analysis and visualization of RDF data from SPARQL query results. Therefore, to tackle this issue, based on Formal Concept Analysis, we propose a novel approach for analyzing and visualizing useful information from the LOD cloud. The RDF data analysis and visualization technique proposed in this paper can be utilized in the field of semantic web data mining by extracting and analyzing the information and knowledge inherent in LOD and supporting classification and visualization.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.368-371
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• 2009

The GALILEO Project is to be the one and only European Global Navigation Satellite System(GNSS). The GIVE-B satellite, a second experimental GALILEO satellite was launched and started the transmission of ranging signals. GIOVE-B satellite is intended as a trueprototype of future GALILEO satellite. So I introduce the standard deviation of code multi path, signal power, antennas performance and L1-E5 group delay etc. Therefore I comprehend the current progress and tend of GALILEO Project and try to propose the national countremeasures.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.5
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• pp.323-330
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• 2019

Radiometric normalization with multi-temporal satellite images is essential for time series analysis and change detection. Generally, relative radiometric normalization, which is an image-based method, is performed, and histogram matching is a representative method for normalizing the non-linear properties. However, since it utilizes global statistical information only, local information is not considered at all. Thus, this paper proposes a histogram matching method considering local information. The proposed method divides histograms based on density, mean, and standard deviation of image intensities, and performs histogram matching locally on the sub-histogram. The matched histogram is then further partitioned and this process is performed again, iteratively, controlled with the wasserstein distance. Finally, the proposed method is compared to global histogram matching. The experimental results show that the proposed method is visually and quantitatively superior to the conventional method, which indicates the applicability of the proposed method to the radiometric normalization of multi-temporal images with non-linear properties.

• Journal of Korea Multimedia Society
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• v.24 no.9
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• pp.1203-1210
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• 2021

In this paper, we developed the inspection system of electric vehicle pouch battery using image processing. Line scan cameras are used for acquiring the all parts of the pouch battery, and several steps of image processing for extracting significant dimensions(User Required Position) of the battery. In image processing, edge lines, node points, dimension lines, etc. were extracted using Preprocessor, Square Edge Detection, and Size Detection algorithms. This is used to measure the dimensions of the location requested by the user on the pouch battery. For verification of the inspection system, the dimensions of three pouch batteries produced in the same process were measured, and the mean and standard deviation were obtained to confirm the precision.

• Structural Engineering and Mechanics
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• v.70 no.5
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• pp.513-524
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• 2019

This study proposed an improved particle swarm optimization (IPSO) method ensemble with kriging model for model updating. By introducing genetic algorithm (GA) and grouping strategy together with elite selection into standard particle optimization (PSO), the IPSO is obtained. Kriging metamodel serves for predicting the structural responses to avoid complex computation via finite element model. The combination of IPSO and kriging model shall provide more accurate searching results and obtain global optimal solution for model updating compared with the PSO, Simulate Annealing PSO (SimuAPSO), BreedPSO and PSOGA. A plane truss structure and ASCE Benchmark frame structure are adopted to verify the proposed approach. The results indicated that the hybrid of kriging model and IPSO could serve for model updating effectively and efficiently. The updating results further illustrated that IPSO can provide superior convergent solutions compared with PSO, SimuAPSO, BreedPSO and PSOGA.

• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.11-20
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• 2010

XML view is proposed to integrate between XML data and heterogeneous data over distributed environment and global XML view is used to search distributed heterogeneous data. At this time, standard query language for user is XQuery and the method for processing global XQuery queries over distributed environment is one of the new research topics. One of the basic and simple methods to process distributed SQL queries is that generates local queries for processing a global query and constructs the result of the global query from the results of the local queries. However, the syntax of XQuery differs from SQL because the XQuery contains some special expressions like FOR clauses for querying to semi-structured data, of course, FOR clauses are not used in SQL. Therefore, there are some problems to adopt the method for processing global SQL queries for generating local XQuery queries. This paper defines some problems when generates local XQuery queries for processing global XQuery queries and proposes a method for generating local XQuery queries considered these problems. Also we implement and evaluate a Global XQuery Processor which uses our method.

• Journal of Service Research and Studies
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• v.9 no.3
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• pp.61-72
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• 2019

Design is a knowledge service industry that is undervalued in Korea despite its large impact on the development of high - tech industries such as national industrial policy and the fourth industrial revolution. In the design industry, the strategic outsourcing system collapses. This phenomenon is not confined to the domestic market, and the design service companies of design-developed countries such as Europe and the US are also struggling with the classic. Accordingly, some implications were found through the case study of domestic design projects, including overseas, that private companies are more concerned with design cost reduction and cost structure to secure liquidity rather than improving design quality level and pursuing innovation through design outsourcing. It is big. As design is a core competency of a company, internalizing core design tasks, and as products and services become platforms, regional design countermeasures have been reduced, which has led to a decline in the cost standard for large companies' design service outsourcing. In design service industry, design outsourcing is performed at the request of the client, and the service value of the outsourcing is received. In the early 2000s, the importance of design management led global consulting companies to pursue M & A rather than cooperate with design service companies, and Samsung Electronics and other large corporations acquired a large number of excellent design personnel and developed their own design management research institute. This study investigated the design service outsourcing cases of public and private companies (large corporations, midsize companies) widely in relation to the design service price criterion, and grasped the indicators of the actual size and level of the design industry. I will make suggestions about the value and direction of the global design industry through interviews with experts and literature on the changes and influences of these cost criteria.