• Journal of KIISE:Computer Systems and Theory
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• v.36 no.4
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• pp.259-273
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• 2009

Most of large-scale distributed file systems decouple a metadata operation from read and write operations for a file. In the distributed file systems, a certain server named a metadata server (MDS) maintains metadata information in file system such as access information for a file, the position of a file in the repository, the namespace of the file system, and so on. But, the existing systems used restrictive metadata management schemes, because most of the distributed file systems designed to focus on the distributed management and the input/output performance of data rather than the metadata. Therefore, in the existing systems, the metadata throughput and expandability of the metadata server are limited. In this paper, we propose a new non-shared metadata management scheme in order to provide the high metadata throughput and scalability for a cluster of MDSs. First, we derive a dictionary partitioning scheme as a new metadata distribution technique. Then, we present a load balancing technique based on the distribution technique. It is shown through various experiments that our scheme outperforms existing metadata management schemes in terms of scalability and load balancing.

• Korean Journal of Environment and Ecology
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• v.30 no.4
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• pp.712-723
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• 2016

This paper is to suggest the methods about the environmental risk assessment (ERA) based on non-target insect species for LM rice crop produced by biotechnology. We used some data by the picture dictionary of agricultural pests in Korea, some books for ERA or rice pest ecology, articles about rice ecology, and internet sites and many specialists gave us good advice for this ERA system. We found about 140 insect species using rice crop as their habitat and we discriminated herbivores into Sap feeder, Grain feeder, Defoliator, and Pollen feeder according to their food functional group. We also clarified the potential damage possibility of insect species from LM rice crop. Then, we ranked 10 non-target insect species (Baliothrips biformis, Laodelphax striatellus, Nilaparvata lugens, Mythimna separata, Cnaphalocrocis medinalis, Cletus schmidti Kiritshenko, Scotinophara lurida, Nilaparvata bakeri, Oxya chinensis, Agromyza oryzae) with giving some scores using Geographic distribution, Habitat specialization, Prevalence on crop, Abundance. We showed some environmental risk hypotheses about herbivore, predator, and parasitoid, and infered the impacts of non-target species on LM rice crop. Conclusively, we want to serve this methodology to build the biosafety system from biotechnology crops, and the methodology is to keep public health, sustain the biodiversity, and conserve the natural ecosystems.

• Journal of Ginseng Research
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• v.40 no.2
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• pp.160-168
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• 2016

Background: Ginseng (Panax ginseng Meyer) is a well-characterized medicinal herb listed in the classic oriental herbal dictionary as "Shin-nong-bon-cho-kyung." Ginseng has diverse pharmacologic and therapeutic properties. Black ginseng (BG, Ginseng Radix nigra) is produced by repeatedly steaming fresh ginseng nine times. Studies of BG have shown that prolonged heat treatment enhances the antioxidant activity with increased radical scavenging activity. Several recent studies have showed the effects of BG on increased lipid profiles in mice. In this study report the effects of water and ethanol extracts of BG on hypercholesterolemia in rats. To our knowledge, this is the first time such an effect has been reported. Methods: Experiments were conducted on male Sprague Dawley rats fed with a high-cholesterol diet supplemented with the water and ethanol extracts of BG (200 mg/kg). Their blood cholesterol levels, serum white blood cell levels, and cholesterol-metabolizing marker genes messenger RNA (mRNA) expression were determined. Liver and adipose tissues were histologically analyzed. Results: We found that BG extracts efficiently reduced the total serum cholesterol levels, low-density lipoprotein (LDL) levels with increased food efficiency ratio and increased number of neutrophil cells. It also attenuated the key genes responsible for lipogenesis, that is, acetyl-coenzyme A (CoA) acetyltransferase 2, 3-hydroxy-3-methyl-glutaryl-CoA reductase, and sterol regulatory element-binding protein 2, at the mRNA level inside liver cells. Furthermore, the BG extract also reduced the accumulation of fat in adipose tissues, and inhibited the neutral fat content in liver cells stained with hematoxylin and eosin and oil red O. Conclusion: Administration of BG extracts to Sprague Dawley rats fed with high-cholesterol diet ameliorated hypercholesterolemia, which was mediated via modulation of cholesterol-metabolizing marker genes. This data throw a light on BG's cardioprotective effects.

• Science of Emotion and Sensibility
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• v.18 no.3
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• pp.81-92
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• 2015

The purpose of this study was to investigate the emotion and preference for shoes styles through empirical research, in accordance with personality type, age and fashion innovativeness of female students. This study was a survey research through convenience sampling of 224 college students. In order to select shoes style, a pre-classification through dictionary and online search was done to choose the representative eight styles of shoes to college students. Personality types was determined from the modified measures of the brief MBTI to fit this study, and the emotional scale of sensibility was revised from the previous studies. SPSS statistical analysis were executed as follows: First, preference and emotion on shoes styles were significantly different in accordance with the shoes type and the diagram from the results of correspondence analysis showed some relationship between the sensibility and shoes styles showing 4~5 clusters. Second, the sensibility and preference had significant difference in some type of shoes according to the personality types of college students. Third, there was a significant difference in the shoes preference and sensibility by accordance of the degree of fashion innovativeness. And there was a significant difference in preference of shoes according to the purchase frequency of consumers. We hope this data is useful to this current dynamic market of shoes to the both sides of producer and consumers.

• Journal of KIISE:Software and Applications
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• v.27 no.7
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• pp.769-783
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• 2000

In this paper, in order to disambiguate Korean noun word sense, we define a local context and explain how to extract it from a raw corpus. Following the intuition that two different nouns are likely to have similar meanings if they occur in the same local context, we use, as a clue, the word that occurs in the same local context where the target noun occurs. This method increases the usability of extracted knowledge and makes it possible to disambiguate the sense of infrequent words. And we can overcome the data sparseness problem by extending the verbs in a local context. The sense of a target noun is decided by the maximum similarity to the clues learned previously. The similarity between two words is computed by their concept distance in the sense hierarchy borrowed from WordNet. By reducing the multiplicity of clues gradually in the process of computing maximum similarity, we can speed up for next time calculation. When a target noun has more than two local contexts, we assign a weight according to the type of each local context to implement the differences according to the strength of semantic restriction of local contexts. As another knowledge source, we get a co-occurrence information from dictionary definitions and example sentences about the target noun. This is used to support local contexts and helps to select the most appropriate sense of the target noun. Through experiments using the proposed method, we discovered that the applicability of local contexts is very high and the co-occurrence information can supplement the local context for the precision. In spite of the high multiplicity of the target nouns used in our experiments, we can achieve higher performance (89.8%) than the supervised methods which use a sense-tagged corpus.

• The Journal of Society for e-Business Studies
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• v.21 no.3
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• pp.15-28
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• 2016

This paper proposes a system recommending spatial information what user wants with collecting and analyzing tweets around the user's location by using the GPS information acquired in mobile. This system has built an emotion dictionary and then derive the recommendation score of morphological analyzed tweets to provide not just simple information but recommendation through the emotion analysis information. The system also calculates distance between the recommended tweets and user's latitude-longitude coordinates and the results showed the close order. This paper evaluates the result of the emotion analysis in a total of 10 areas with two keyword 'Restaurants' and 'Performance.' In the result, the number of tweets containing the words positive or negative are 122 of the total 210. In addition, 65 tweets classified as positive or negative by analyzing emotions after a morphological analysis and only 46 tweets contained the meaning of the positive or negative actually. This result shows the system detected tweets containing the emotional element with recall of 38% and performed emotion analysis with precision of 71%.

• Management & Information Systems Review
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• v.34 no.3
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• pp.161-177
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• 2015

Currently, the influence of the Internet portal sites that can make it quick and easy to contact the vast amount of information is increasing. Users can connect the Internet through a portal to obtain information, such as communication between Internet users, which can be used to meet a variety of purposes. People are exposed to a variety of information from other users in the search for a movie and get information. The impact on the reviews and ratings with the limited number of characters of the film allows users to form a relationship to the movie, decide whether you want to see the movie or find another movie. but, the user can not read the whole movie review. When user see the overall evaluation, the user can receive the correct information. This research conducted a study on the prediction of the rating by the use of review data. Information of reviews, is divided into two main areas: the"fact" and "opinion". "Fact" is to convey the dispassionate information and "Opinion" is, to represent the user's feelings. In this study, we built sentiment dictionary based on the assessment and evaluation of the online review and applied to evaluate other movies. In the comparative study with a simple emotion evaluation technique, we found the suggested algorithm got the more accurate results.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.620-629
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• 2015

As the construction industry becomes bigger and more complicated, standardization of terms should be established between academic and industrial fields in order to accumulate and share information technology. The aim of this study is to investigate and analyze the research trends and actual usage of construction and architectural terms in Korea. For this purpose, we examined research related to construction and architectural terms by searching RISS up to August 2014. We also analyzed document types and contents of research by year. As a result, 130 research studies related to construction and architectural terms were searched. Of document types, glossary ranks the highest, followed by academic journal papers, master's theses and research reports. Research related to construction and architectural terms began in 1939, and was actively studied between the mid-1980s to the mid-1990s. Within the research, list and opinion of related construction and architectural terms are found the most frequently, followed by standardization, analysis, alteration, dictionary and wordbook, and search system of terms. Despite these efforts and research, standardization of terms has not yet been consolidated between academic and industrial fields. Therefor, we suggest six proposals in order to standardize the terms. This study is an attempt to see the trends and conditions of construction and architectural terms and to provide base-line data and an insight for future research.

• Journal of The Korean Association For Science Education
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• v.36 no.5
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• pp.801-814
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• 2016

The purpose of this study is to find out whether pre-service biology teachers' biological meanings of competition and adaptation is the same as everyday meanings to understand natural selection and evolution. Fifty three pre-service biology teachers answered written tests and thirteen of them were interviewed. The tests on general meanings on competition and adaptation, tests on biological meanings on competition and adaptation and tests on natural selection were administered. Questions on semi-structured interviews were composed of only biological meanings about competition and adaptation. Analyzing data through four steps, pre-service biological teachers' general meanings on competition and adaptation were compared with the definitions of Korean dictionary and compared with biological definitions. Pre-service teachers' alternative conceptions about biological competition and adaptation were classified and the alternative conceptual types were checked when explaining natural selection and evolution. They realized competition is battle for intention or purpose like everyday meaning of competition. However, they didn't realize adaptation happen in the population level. They thought that adaptation, like in everyday life meaning, is getting suitable to environment for survival on an individual level. By relating adaptation to evolution, they thought that long-lasting adaptation become evolution. This study has significance with respect to suggesting the alternative concepts of competition and adaptation based on effective evolution teaching from constructivism viewpoint and highlighting the importance of the concepts of biological competition and adaptation, which have been concerned rarely for a long time.

• Journal of dental hygiene science
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• v.6 no.2
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• pp.119-125
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• 2006

This study executed questionnaire by own recording way using questionnaire to Dental Hygiene of W health science college and 365 students locating in Cholla-bukdo area from September 10, 2005 October 9. Distribution by class was first-year student 115 people, second-year student 125 people, third-year student 120 people, and collected data enforced crossing analysis, multiple response analysis, correlation analysis using statistical analysis program SPSS(V. 11.5) and significance level(${\alpha}$) used in all verifications was 0.05. 1. Seoul was the most to employment hope area and(p<0.01), there was difference that keep in mind statistically because appears salary highest about selection reason(p<0.001). 2. knowledge degree about can go to work appeared by 52.8% for doing not know, and when go to work 60.8% was thinking aptitude and interest most importantly and there was difference that keep in mind statistically(p<0.01). 3. when go to work 35.3% prevention medical examination and treatment business that 27.2% hopes dental management business appear(p<0.01). 4. I appeared accomplish result weak static correlation that analyze interrelation of degree of dictionary knowledge about can do interest degree about dental hygienist job and an employment(p<0.01).