• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.11
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• pp.1564-1570
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• 2014

An electric vehicle (EV) not only receives electric power from the electric vehicle supply equipment (EVSE), but it also exchanges the information regarding charging process with the power gird through the EVSE. However, the EV and EVSE communicate using the ISO/IEC 15118 standard while the EVSE and power grid communicate using the IEC 61850 standard. Therefore, the EVSE should support both the ISO/IEC 15118 and IEC 61850 standards, and provide a data mapping function between the two communication protocols so that the EV and power grid, which support different protocols, can communicate with each other throughout the charging process. In this paper, we propose a mapping method of the EVSE, which converts the ISO/IEC 15118 data to IEC 61850 and vice versa, based on the XML schema of each protocol. The proposed method converts the data using the XSL (eXtensible Stylesheet Language) method, which defines the data mapping between two XML schemas. Our approach is more flexible and easier to maintain against changes in charging scenarios and the standards than other existing approaches such as one-to-one data mapping methods.

• Journal of KIISE:Databases
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• v.31 no.2
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• pp.99-107
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• 2004

Education and training are expected to change dramatically due to the combined impact of the Internet, database, and multimedia technologies However, the distance learning is often impeded by the lack of effective tools and system to manage and retrieve the lecture contents effectively. This paper introduces a prototype system called COVA that enables remote users to access specific parts of interest by contents from a large lecture database. COVA includes several novel techniques to achieve the content-based lecture retrieval in distance teaming: (1) The XML-based semistructured model to represent lecture contents; (2) The technique to build structural summaries, i.e., schemas, of XML lecture databases; (3) Index structures to speed up the search to find appropriate lecture contents.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.4
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• pp.133-156
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• 1999

The purpose of this paper is to show how conceptual data modeling can enhance current information retrieval (IR) systems. The conceptual database design provides for: 1) data mining capability to discover new knowledge based on the relationships between entities, and 2) integrating current separate databases into one IR system (e.g., integrating ISI Citation, a thesaurus, and bibliographic databases into one retrieval system) . Further, as new user requirements are unfolded, modifications of IR systems based on conceptual data modeling will be much easier to make than they were in the current IR systems because conceptual modeling facilitates flexible modifications. The enhanced Entity-Relationship (ER) model was employed in this study to develop conceptual schemas of IR data.

• Journal of Information Technology and Architecture
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• v.10 no.1
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• pp.71-77
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• 2013

XML schema matching is the task of finding semantic correspondences between elements of two schemas. XML schema matching plays an important role in many application, such as schema integration, data integration, data warehousing, data transformation, peer-to-peer data management, semantic web etc. In this paper, we propose an XML element matching algorithm based on rules and structural properties. The proposed algorithm involves classifying elements as unique or non-unique elements according to the structural properties of XML documents and deciding on element matching in accordance with rules. We present experimental results that demonstrate the effectiveness of the proposed approach.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.3
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• pp.324-330
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• 2010

XML schema is widely used as an effective tool for organizing and validating XML data. Although W3C released XQuery and XQuery Update Facility as the standard methods for searching and updating XML data, there is no consideration about providing facilities for updating XML schema itself until now. So users can only update an XML schema file directly by using editors. However, the direct update has several problems: It cannot prevent user's illegal update; it is hard to apply to the XML schemas stored in databases, needs much time to analyze schema, and is likely to make syntactic errors. In this paper, we propose an XML schema update facility, which enables creation, deletion and modification of XML schema by using commands.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.6
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• pp.538-549
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• 2005

This paper proposes a method of generating XSLT scripts, which support the fast transformation of XML documents, given one-to-one matching relationships between leaf nodes of XML schemas. The proposed method consists of two steps: computing matchings between cardinality nodes and generating XSLT scripts. Matching relationships between cardinality nodes are computed by using Proposed lexical and structural similarities. Based on the cardinality node matching relationships, an XSLT script is generated. Experimental results show that the proposed method has generated XSLT scripts that support the faster transformation of XML documents, compared with previous works.

• The KIPS Transactions:PartC
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• v.18C no.4
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• pp.255-264
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• 2011

TV-Anytime is an XML-based standard for description of PVR and digital broadcast services. It is referenced by many standards of digital broadcast service for their schemas and delivery protocols of contents guide. Although its readability and extensibility, TV-Anytime has a big problem which generates massive documents due to its text-based description method. Therefore, various encoding algorithms have been proposed to reduce the size of XML documents. This paper proposes efficient metadata encapsulation architecture based on the optimization information generated at server-side to minimize XML documents. Advanced indexing method is also proposed to reduce resources needed to encapsulate indices and to receive metadata with fast and explicit mechanism.

• Journal of the Society of Naval Architects of Korea
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• v.31 no.3
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• pp.38-46
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• 1994

The role of CIMS(Computer Integrated Manufacturing Systems) is to integrate various applications throughout a product's life cycle. STEP is an international effort to standardize information models and interfaces so that independently developed applications can be easily integrated. A prototype for the Ship CIMS is built using STEP. In this prototype, the information model defined by EXPRESS is translated into database schemas. In this paper, we explain the operation of this prototype using the examples from two application programs, i.e., the Block Division System and the Erection System which are used for the process planning of ship manufacturing. As an example. Real data stored in a relational database system(Oracle) is presented in this paper.

• Journal of Information Science Theory and Practice
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• v.7 no.2
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• pp.23-31
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• 2019

We report results of selection-bias-free approaches to the analysis of the impact of open access (OA) models on citation metrics. We studied reference groups of Gold and Green OA articles and the group of non-OA (Paywall) articles with the new functionality of the Web of Science Core Collection database, the InCites platform of Clarivate Analytics, and the Dimensions database of Digital Science. For each reference group we obtained the values of the percent of cited articles and citation impact and their dependence on the depth of the citation period. Different research fields were analyzed in two schemas of the InCites platform. We report the higher values and growth rates of the citation metrics: citation impact and %Cited, in the OA reference groups over the Paywall group. The Green OA articles demonstrate the highest values of citation metrics among all the OA models. Dependence of the value of citation impact on citation period follows linear law with R2 values close to 0.9-1.0. The overall annual growth rates of citation impact of the Green OA, Gold OA, and the Paywall articles, k equal, respectively, 3.6, 2.4, and 1.4 in Dimensions and 4.6, 3.6, and 2.3 in the Web of Science Core Collection. We suppose that earlier results reported for the articles in pure OA journals vs. articles in Paywall journals were affected by the high citation impact of the Green and Hybrid OA articles that could not be elucidated in the Paywall journals at that time.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.261-273
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• 2022

Over the last decade, the scientific community has been actively developing technologies for automated software bug fixes called Automated Program Repair (APR). Several APR techniques have recently been proposed to effectively address multiple classroom programming errors. However, little attention has been paid to the advances in effective APR techniques for software bugs that are widely occurring during the software life cycle maintenance phase. To further enhance the concept of software testing and debugging, we recommend an optimized automated software repair approach based on hybrid technology (OAPR-HOML'1). The first contribution of the proposed OAPR-HOML'1 technique is to introduce an improved grasshopper optimization (IGO) algorithm for fault location identification in the given test projects. Then, we illustrate an opposition learning based artificial neural network (OL-ANN) technique to select AST node-level transformation schemas to create the sketches which provide automated program repair for those faulty projects. Finally, the OAPR-HOML'1 is evaluated using Defects4J benchmark and the performance is compared with the modern technologies number of bugs fixed, accuracy, precession, recall and F-measure.