• Journal of Information Management
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• v.25 no.2
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• pp.31-60
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• 1994

General branches of science and engineering now enjoy being substantially repleted in their databases. However, comparing the databases of such branches with chemistry or medical science and pharmacology, the strata do not seem to be fully equipped yet. As a matter of fact, the variety of such databases in practical application is still somewhat limited. Moreover, these databases are, with a few exceptions, prepared abroad. In this paper varieties and features of databases now available on the market for each database service system, as well as crucial points for practical use are introduced. At present, it is focussed more or less on the application of bibliographical information. Yet, it would be inevitable to equip them with factual data in order to increase the efficiency of research and development activities. Of course, it is still not easy to solve problems for better profitability and higher technical achievement. The author wishes to emphasize the necessity to fully equip the commercial factual database for said branches as quickly as possible.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6376-6384
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• 2015

In practice of urban redevelopment promotion projects, since the decision-making is dependent on the verbal agreements between the participants, planning changes are frequently occur. A master plan can be utilized as an effective feedback and adjusting means for decisions. It is a difficult to establish a master plan quickly and effectively to consider the large number of information. Effective decision support system that can storage and retrieval information items systematically and efficiently necessary when planning master plan is required. In this study, a data-warehouse prototype that supports the master planning at early stage was suggested. A metadata index database was developed by identifying information items of base survey results and master plan cases. Also user interface for information searching was presented. The applicability of the prototype was evaluated by case application. It was found that the prototype allows effective searching of desired information through meta data.

• Journal of KIISE:Information Networking
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• v.30 no.5
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• pp.614-620
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• 2003

As the proliferation of Internet, mobile agent related technologies are examined for possible growth and evolution. In information retrieval, network and distributed system management, and electronic commerce, mobile agent is more flexible than the traditional communication paradigm. Despite the performance benefits, mobile agent is not used widely in the market because it is very vulnerable to a variety of attacks. In many studies related the security vulnerability for a mobile agent, the high security causes the performance to degrade. In this paper, we propose and evaluate the efficient security model for mobile agent using TDGM(Trusted Domain & Guide Manager), which provides three kinds of services : the trusted domain management, the security service and the travel plan guide. The result clearly shows that this model provides high security and minimizes the performance degradation.

• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.74-83
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• 2000

There is a rapid increase in the use of digital video information in recent years. Especially, user requires the environment which retrieves video from passive access to active access, to be more efficiently. we need to implement video retrieval system including video parsing, clustering, and browsing to satisfy user's requirement. In this paper, we first divide video sequence to shots which are primary unit for automatic indexing, using a hybrid method with mixing histogram method and pixel-based method. After the shot boundaries are detected, corresponding key frames can be extracted. Key frames are very important portion because they help to understand overall contents of video. In this paper, we first analyze camera operation in video and then select different number of key frames depend on shot complexity. At last, we compose panorama images from shots which are containing panning or tilting in order to provide more useful and understandable browsing environment to users.

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.67-73
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• 2010

The results of VE (Value Engineering) analyses are highly feasible proposals that are produced by utilizing the experience and knowledge of professionals from a variety of fields. As such, the results of past similar projects can be useful in new projects. On this basis, it is vital to accumulate the historical data of the results on VE analyses performed at every stage, which are functions, ideas, and proposals. In this research, a data formational system for collecting this historic data was established by categorizing 'Item,' 'Function,' 'Idea,' and 'Proposal' according to VE process, and the data retrieval and the adjusting process were proposed. If the historic data of these are accumulated using the suggested method, it is expected to be useful at the stage of VE process.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.2
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• pp.231-235
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• 2008

Recently we witnessed a few scandals on plagiarism among academic paper and novels. Plagiarism on documents is getting worse more frequently. Although plagiarism on English had been studied so long time, we hardly find the systematic and complete studies on plagiarisms in Korean documents. Since the linguistic features of Korean are quite different from those of English, we cannot apply the English-based method to Korean documents directly. In this paper, we propose a new plagiarism detecting method for Korean, and we throughly tested our algorithm with one benchmark Korean text corpus. The proposed method is based on "k-mer" and "local alignment" which locates the region of plagiarized document pairs fast and accurately. Using a Korean corpus which contains more than 10 million words, we establish a probability model (or local alignment score (random similarity by chance). The experiment has shown that our system was quite successful to detect the plagiarized documents.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.351-356
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• 2014

Recently, automobile black boxes have evolved to support functionality to transfer videos stored in them into mobile phones via wireless network, from which the videos can be utilized for various purposes. This paper presents a method for automation of traffic violation reports using the automobile black boxes. When a traffic violation is captured by a black box, the proposed method helps a user to transfer the video capturing it into a mobile phone through a simple UI operation. With the video, an HTTP request to report the violation is automatically generated from the mobile phone, and then is transferred to a cyber-report center. We present a prototype system that implements the proposed method, and discuss several issues necessary to apply the method to real-world applications.

• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.735-742
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• 2003

In the information retrieval system, document clustering technique is to provide user convenience and visual effects by rearranging documents according to the specific topics from the retrieved ones. In this paper, we clustered documents using K-Means algorithm and present the effect of index terms weighting scheme on the document clustering. To verify the experiment, we applied Latent Semantic Indexing approach to illustrate the clustering results and analyzed the clustering results in 2-dimensional space. Experimental results showed that in case of applying local weighting, global weighting and normalization factor, the density of clustering is higher than those of similar or same weighting schemes in 2-dimensional space. Especially, the logarithm of local and global weighting is noticeable.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.255-263
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• 2015

In this paper, we suggest a plan to take advantage of the SNS data to proactively identify the information on crime risk factor and to prevent crime. Recently, SNS(Social Network Service) data have been used to build a proactive prevention system in a variety of fields. However, when users are collecting SNS data with simple keyword, the result is contain a large amount of unrelated data. It may possibly accuracy decreases and lead to confusion in the data analysis. So we present a method that can be efficiently extracted by improving the search accuracy through text mining analysis of SNS data.

• Journal of the Korea Society of Computer and Information
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• v.15 no.9
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• pp.165-172
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• 2010

Communication problems have been regarded as one of the biggest causes in trouble in many industries. This led to extensive research on communication as a part of human error analysis. The results of existing researches have revealed that maintaining a good quality of communication is essential to secure the safety of a large and complex process system. In this paper, we suggested a method to measure the quality of communication during off-normal situation in main control room of nuclear power plants. It evaluates the cosine similarity that is a measure of sentence similarity between two operators by finding the cosine of the angle between them. To check the applicability of the method to evaluate communication quality, we compared the result of communication quality analysis with the result of operation performance that was performed by operators under simulated environment.