• The KIPS Transactions:PartA
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• v.11A no.2
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• pp.165-174
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• 2004

Because a quantity wireless internet contents is much less than wired internet contents, it exist high necessities that wired internet contents should be converted into wireless internet contents. The conversion server implemented in this paper, automatically recognizes the type of user agents when they request, retrieves source documents on the web site specified by an URL, generates metaXML documents as an intermediate form, and converts them wireless markup documents appropriate for user agents. The conversion server interoperates with the image converter for image conversion and the clipper which is an authoring tool for clipping existing wired internet documents. We performed experiments about capability of the conversion server transcoding static/dynamic web pages specified by an URL. According to performance results on dynamic web pages, the conversion server showed better throughput when a thread pool in the terror maintains 5 threads compared with 1 and 10 threads.

• The KIPS Transactions:PartA
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• v.14A no.1 s.105
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• pp.31-38
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• 2007

Code Optimization is converting to a code that is equivalent to given program but more efficient, and this process is processed in Code Optimizer. This paper designed and processed Code Optimizer Generator that automatically generates Code Optimizer. In other words Code Optimizer is automatically generated for DFA Pattern Matching which finds the optimal code for the incoming pattern description. DFA Pattern Matching removes redundancy comparisons that occur when patterns are sought for through normalization process and improves simplification and structure of pattern shapes for low cost. Automatic generation of Code Optimization for DFA Pattern Matching eliminates extra effort to generate Code Optimizer every time the code undergoes various transformations, and enables formalism of Code Optimization. Also, the advantage of making DFA for optimization is that it is faster and saves cost of Code Optimizer Generator.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.129-136
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• 2015

We investigate the underlying structure of big data research domain, which is diversified and complicated using bottom-up approach. For that purpose, we derive a set of articles by searching "big data" through the Korea Citation Index System provided by National Research Foundation of Korea. With some preprocessing on the author-provided keywords, we analyze bibliometric data such as author-provided keywords, publication year, author, and journal characteristics. From the analysis, we both identify major sub-domains of big data research area and discover the hidden issues which made big data complex. Major keywords identified include SOCIAL NETWORK ANALYSIS, HADOOP, MAPREDUCE, PERSONAL INFORMATION POLICY/PROTECTION/PRIVATE INFORMATION, CLOUD COMPUTING, VISUALIZATION, and DATA MINING. We finally suggest missing research themes to make big data a sustainable management innovation and convergence medium.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.149-161
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• 2013

In this paper, we propose a novel approach to construction of classification hierarchies for user tags of folksonomies, using WordNet-based Formal Concept Analysis tool, called TagLighter, which is developed on this research. Finally, to give evidence of the usefulness of this approach in practice, we describe some experiments on user tag data of Bibsonomy.org site. The classification hierarchies of user tags constructed by our approach allow us to gain a better and further understanding and insight in tagged data during information retrieval and data analysis on the folksonomy-based systems. We expect that the proposed approach can be used in the fields of web data mining for folksonomy-based web services, social networking systems and semantic web applications.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.128-137
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• 2011

The purpose of the FAPIS(Forest Aerial Photograph Interpretation System) development is to increase accuracy and efficiency of the digital forest cover type mapping for improving conventional analog-based mapping procedures by optimizing work-flow and mapping technology. The database models including digital forest cover type map, aerial photograph, and topographic map were designed for use in this system construction. The interface configured concisely to connect with functions such as search engine, display control, conversion to stereo interpretation mode, modification tools, automation of print layout and database models. It is expected that the standardization methodology based on this system can be applied and extended in making all kinds of digital thematic maps, providing decision-making and information of forest resources.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.297-320
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• 2018

This study aims to improve the access and retrieval of images and to find a way to effectively generate tags as a tool for providing explanation of images. To do this, this study investigated the features of human tagging and machine tagging, and compare and analyze them. Machine tags had the highest general attributes, some specific attributes and visual elements, and few abstract attributes. The general attribute of the human tag was the highest, but the specific attribute was high for the object and scene where the human tag constructor can recognize the name. In addition, sentiments and emotions, as well as subjects of abstract concepts, events, places, time, and relationships are represented by various tags. The tag set generated through this study can be used as basic data for constructing training data set to improve the machine learning algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.761-766
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• 2011

A hedge is a linguistic device to express uncertainties. Hedges are used in a sentence when the writer is uncertain or has doubt about the contents of the sentence. Due to this uncertainty, sentences with hedges are considered to be non-factual. There are many applications which need to determine whether a sentence is factual or not. Detecting hedges has the advantage in information retrieval, and information extraction, and QnA systems, which make use of non-hedge sentences as target to get more accurate results. In this paper, we constructed Korean hedge corpus, and extracted generalized hedge cue-word patterns from the corpus, and then used them in detecting hedges. In our experiments, we achieved 78.6% in F1-measure.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.832-835
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• 2007

The purpose of this study is to suggest the on-the-spot survey method of road occupation information. The on-the-spot survey method is proposed through the analysis of information searching function, document and process. The decision of road occupation permission and the grasp of illegal occupation status are closely connected with national rights and interests. To keep the road occupation permission and illegal occupation status, the easy acquisition of road occupation information is very important. But the person in charge of road occupation have a difficulty in obtaining occupation information because that information is still managed by paper drawing. Accordingly. this study develop the on-the-spot survey tool of road occupation using the occupation information that is managed by Construction Authorization & Permission System and the mobile techniques like UMPC. As the result of this study. the efficiency on the authorization. permission. and public grievance of construction project has improved

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.17-24
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• 2010

Recently, there has been growing interest in skyline queries. Most of works for skyline queries assume that the data do not have null value. However, when we input data through the Web or with other different tools, there exist incomplete data with null values. As a result, several skyline processing techniques for incomplete data have been proposed. However, available skyline query techniques for incomplete data do not consider the environments that coexist complete data and incomplete data since these techniques deal with the incomplete data only. In this paper, we propose a novel skyline group processing technique which evaluates skyline queries for the environments that coexist complete data and incomplete data. To do this, we introduce the top-k(g) skyline group query which searches g skyline groups with respect to the user's dimensional preference. In our experimental study, we show efficiency of our proposed technique.

• Journal of the Korean Institute of Gas
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• v.3 no.1
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• pp.41-47
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• 1999

Recently, HAZOP has been used as one of the most effective way of qualitative risk assessment for plant industries. However, this technique requires much man labor to be successfully performed. This fact enables the adequate HAZOP worksheet program to help speeding up the procedure and managing the data of analysis. Based on the experience of HAZOP carrying out, the authors focused the purpose of this study on developing a useful and comfortable HAZOP worksheet program. The unique characteristics of developed program are the menu window expressed in common steps of HAZOP, versatile edit functions, and search menu for investigating the scenario data. The tendency analysis for existing HAZOP results was performed to validate the usefulness of the developed program.