• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.2 s.308
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• pp.1-11
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• 2006

In this paper, we propose a new register file architecture called the Register File Extension for Multi-words or Long-word Operation (RFEMLO) to accelerate both symmetric and asymmetric cryptographic algorithms. Based on the idea that most of cryptographic algorithms heavily use multi-words or long-word operations, RFEMLO allows multiple contiguous registers to be specified as a single operand. Thus, a single instruction can specify a SIMD-style multi-word operation or a long-word operation. RFEMLO can be applied to general purpose processors by adding instruction set for multi-words or long-word operands and functional units for additional instruction set. To evaluate the performance of RFEMLO, we use Simplescalar/ARM 3.0 (with gcc 2.95.2) and run detailed simulations on various symmetric and asymmetric cryptographic algorithms. By applying RFEMLO, we could get maximum 62% and 70% reductions in the total instruction count of symmetric and asymmetric cryptographic algorithms respectively. Also, performance results show that a speedup of 1.4 to 2.6 can be obtained in symmetric cryptographic algorithms and a speedup of 2.5 to 3.3 can be obtained for asymmetric cryptographic algorithms when we apply RFEMLO to a processor with an in-order pipeline. We also found that RFEMLO can effectively improve the performance of these cryptographic algorithms with much less cost compared to issue-width increase available in Superscalar implementations. Moreover, the RFEMLO can also be applied to Superscalar processor, leading to additional 83% and 138% performance gain in symmetric and asymmetric cryptographic algorithms.

• Journal of Information Management
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• v.41 no.2
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• pp.1-30
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• 2010

This study analyzed research output in dominant research areas of 19 national research institutions. Policy knowledge produced by the institutions during the past 5 years mainly concerned 10 policies dealing with economy and society issues. Similarities between the research subjects of the institutions were displayed by MDS mapping. The study also identified issue attention cycles of the 5 chosen policies and examined the correlation between the issue attention cycles and the yields of policy knowledge. The knowledge structure of each policy was mapped using co-word analysis and Ward's clustering. It was also found that the institutions performing research on similar subjects demonstrated citation preferences for each other.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.161-169
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• 2015

Realtime search words of typical portal sites appear every few seconds in descending order by search frequency in order to show issues increasing rapidly in interest. However, the characteristics of realtime search words reordering within too short a time cause problems that they go over the key issues of the day. This paper proposes a method for deriving a key issue through association analysis of realtime search words. The proposed method first makes scores of realtime search words depending on the ranking and the relative interest, and derives the top 10 search words through descriptive statistics for groups. Then, it extracts association rules depending on 'support' and 'confidence', and chooses the key issue based on the results as a graph visualizing them. The results of experiments show that the key issue through association rules is more meaningful than the first realtime search word.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.652-657
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• 2018

With the rapid development of e-commerce, many customers can now express their opinion on various kinds of product at discussion groups, merchant sites, social networks, etc. Discerning a consensus opinion about a product sold online is difficult due to more and more reviews become available on the internet. Opinion Mining, also known as Sentiment analysis, is the task of automatically detecting and understanding the sentimental expressions about a product from customer textual reviews. Recently, researchers have proposed various approaches for evaluation in sentiment mining by applying several techniques for document, sentence and aspect level. Aspect-based sentiment analysis is getting widely interesting of researchers; however, more complex algorithms are needed to address this issue precisely with larger corpora. This paper introduces an approach of knowledge representation for the task of analyzing product aspect rating. We focus on how to form the nature of sentiment representation from textual opinion by utilizing the representation learning methods which include word embedding and compositional vector models. Our experiment is performed on a dataset of reviews from electronic domain and the obtained result show that the proposed system achieved outstanding methods in previous studies.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.344-349
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• 2008

When it comes to discussing the natural behaviors of human life, defining the word "community" itself can be extremely crucial. The word "Community" can be defined as a group of interacting human beings sharing an environment. It is also the basic form for "dwelling" which can be explained as a quint essential factor in human life. Compared to the previous traditional society with strong bonding and close chemistry between neighbors, modern society with simple and monolithic apartments brought a literal extinction of what has been called as a 'relationship'. Hence, people started to take this phenomenon as a problematic issue. Also, high-rise apartments made its residents more isolated and individualistic on a growing basis. In order to aid the aggravating symptoms, there has been a wide recognition between the "dwellers" to develop and strengthen their "community". This movement in strengthening the "community" is currently on a full expansion towards the cyber space, riding the tides of a drastic improvement of the Internet. Apartment web sites today not only displays introductory level of information they also provide wider meanings of general lifestyle plus deeper content, which can enhance their community.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.4
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• pp.893-900
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• 2010

One of the most interests is currently a field related with serious game. Also, the scale of serious game industry is rapid quantitative growth every year. For effective management of metadata of serious game is an important issue so that we propose design of integrated management system for effective management of metadata of serious game. The system provide a service based on internet. Users(general users, developers, experts and managers of metadata) of serious game who can carry out effectively works using proposed system such as new metadata information input, existing metadata information search, generated document files(HTML, XML, EXCEL, MS-WORD) as search results saving into their owns local computer system and so on.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.31 no.1
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• pp.11-18
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• 2018

Two-dimensional (2D) materials such as transition metal dichalcogenides have attracted tremendous scientific interests owing to their potential of solving the zero band-gap issue of graphene. In this work, the research areas and technology evolutionary dynamics of the 2D materials were identified using the scientometric method focusing on keyword mapping and clustering. The time-series analysis showed that the technological progress of 2D material is in the early growth period. The overlay mapping analysis were carried out to investigate the technology evolution of 2D materials with time. The strategic diagram of co-word analysis classifying the topological positions of keyword was derived to support the analysis results. It is conjectured that extensive research will be conducted widely on the application of 2D materials not only in electronic and optoelectronic devices, but also in various other fields such as biomedical applications, and that their development will be more rapid based on accumulated results of extant graphene research.

• Journal of Research and Publication Ethics
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• v.3 no.1
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• pp.7-11
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• 2022

Purpose: The purpose of this study is to derive clues about the development direction of research ethics and areas of interest which has recently become a social issue in Korea by confirming overseas research trends. Research design, data and methodology: We collected 2,760 articles in scienceON, which including 'research ethics' in their paper. For analysis, frequency analysis, word clouding, keyword association analysis, and LDA topic modeling were used. Results: It was confirmed that many of the papers were published in medical, bio, pharmaceutical, and nursing journals and its interest has been continuously increasing. From word frequency analysis, many words of medical fields such as health, clinical, and patient was confirmed. From topic modeling, 7 topics were extracted such as ethical policy development and human clinical ethics. Conclusions: We founded that overseas research trends on research ethics are related to basic aspects than Korea. This means that a fundamental approach to ethics and the application of strict standards can become the basis for cultivating an overall ethical awareness. Therefore, academic discussions on the application of strict standards for publishing ethics and conducting researches in various fields where community awareness and social consensus are necessary for overall ethical awareness.

• Journal of Distribution Science
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• v.22 no.2
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• pp.83-93
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• 2024

Purpose: Although many studies have addressed destination marketing concepts, the relationship between beach tourists' memorable tourism experience (MTE), revisit intention and electronic word of mouth (eWOM) remains unknown. To address this issue, the authors established a model to investigate the effects of MTE's dimensions on revisit intention and eWOM. Research design, data and methodology: Drawing on 581 questionnaires from domestic beach tourists in Vietnam, a quantitative study approach was administered to empirically analyze a partial least squares path model in PLS-SEM. Results: The findings revealed that four dimensions of MTE including hedonism, local culture, meaningfulness and involvement have positive influence on beach tourists' revisit intention. Besides, meaningfulness and knowledge directly affect eWOM. It is worth noting that beach tourists' revisit intention significantly and directly influence their eWOM. The findings also confirm the indirect effects of hedonism, local culture, meaningfulness and involvement on eWOM through the mediating role of revisit intention. Conclusions: This study will be important to determine beach tourists' behavior through each dimension of MTE. This study also emphasizes on the direct effect of beach tourists' revisit intention on eWOM, as well as confirms its mediating role in the relation between MTE and eWOM. The findings will assist policymakers and destination marketers with strategies and effective future actions.

• Korean Journal of Cognitive Science
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• v.18 no.4
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• pp.457-483
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• 2007

Database Semantics (DBS) attempts to provide a comprehensive and integrated approach to human communication which seeks theory-implementation transparency. Two key components of DBS are Word bank as a data structure and left-Associative Grammar (LAG) as an algorithm. This study aims to provide a pilot implementation of Korean in DBS. First, it is shown how the three separate modules of grammar in DBS, namely, Hear, Think, and Speak, combine to form an integrated system that simulates a cognitive agent by making use of a simple Korean sentence as an example. Second, we provide a detailed analysis of the structure in Korean that is a characteristic of Korean involving numerals, classifiers, and nouns, thereby illustrating how DBS can be applied to Korean. We also discuss an issue raised in the literature concerning a problem that arises when we try to apply the LAG algorithm to the analysis of head-final language like Korean, and then discuss some possible solution to the problem.