• Journal of English Language & Literature
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• v.55 no.6
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• pp.1245-1261
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• 2009

The purpose of this paper is to show the internal structure of the socalled sentential subject constructions in English. The constructions that we examine in this paper are such as It seems that John failed in the syntax exam vs. *That John failed in the syntax exam seems and It really stinks that the Giants lost the World Series vs. That the Giants lost the World Series really stinks. As seen above, the English verb seem does not tolerate the sentential subject. This is in sharp contrast to other English verbs such as suck, blow, bite, and stink, which do allow the sentential subject. There are several issues regarding these constructions. First, where is the sentential subject located? Second, is the sentential subject assigned structural Case? Third, is the sentential subject extraposed or does it remain in its base-generated complement position? Fourth, is the sentential subject a base-generated topic in the specifier position of CP, as Arlenga (2005) claims? In this paper, we argue that sentential subjects are base-generated in the specifier of the verbal phrase in case of stink-type verbs, while they are licensed as a complement to verbs like seem. We also argue that a sentential subject can be raised in the seem-type verbal constructions, if it were part of the complement small clause.

• The Pure and Applied Mathematics
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• v.18 no.4
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• pp.329-336
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• 2011

Some new Lyapunov-type inequalities for a class of nonlinear differential systems, which are natural refinements and generalizations of the well-known Lyapunov inequality for linear second order differential equations, are given. The results of this paper cover some previous results on this topic.

• Journal of Advanced Navigation Technology
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• v.13 no.2
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• pp.296-301
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• 2009

In the self-directed learning, learner can construct learning course. But it is very difficult for learner to construct learning course with understanding the various learning contents's characteristics. This research proposed the method to support to learner the information of learning contents type to fit the learner as calculate the learner's learning preference when learner construct the learning course. The calculating method of learning preference used preference vector value of topic map. To apply this method, we tested 20 learning sampling group and presented that this method help to learner to construct learning course as getting the high average degree of learning satisfaction.

• Journal of the Korean Society for information Management
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• v.33 no.1
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• pp.7-32
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• 2016

This study has measured interdisciplinarity using a topic modeling, which automatically extracts sub-topics based on term information appeared in documents group unlike the traditional top-down approach employing the references and classification system as a basis. We used titles and abstracts of the articles published in top 20 journals for the past five years by the 5-year impact factor under the category of 'Information & Library Science' in JCR 2013. We applied 'Discipline Diversity' and 'Network Coherence' as factors in measuring interdisciplinarity; 'Shannon Entropy Index' and 'Stirling Diversity Index' were used as indices to gauge diversity of fields while topic network's average path length was employed as an index representing network cohesion. After classifying the types of interdisciplinarity with the diversity and cohesion indices produced, we compared the topic networks of journals that represent each type. As a result, we found that the text-based diversity index showed different ranking when compared to the reference-based diversity index. This signifies that those two indices can be utilized complimentarily. It was also confirmed that the characteristics and interconnectedness of the sub-topics dealt with in each journal can be intuitively understood through the topic networks classified by considering both the diversity and cohesion. In conclusion, the topic modeling-based measurement of interdisciplinarity that this study proposed was confirmed to be applicable serving multiple roles in showing the interdisciplinarity of the journals.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.2
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• pp.130-142
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• 2008

Different from other ontology languages, TopicMap is capable of integrating numerous amount of heterogenous information resources using the locational information without any information transformation. Although many conventional editors have been developed for topic maps, they are standalone-type only for writing XTM documents. As a result, these tools request too much time for handling large-scale data and provoke practical problems to integrate with legacy systems which are mostly based on relational database. In this paper, we model a large-scale topic map structure based on XTM 1.0 into RDB structure to minimize the processing time and build up the ontology in legacy systems. We implement a topic map platform called X-TOP that can enhance the efficiency of ontology construction and provide interoperability between XTM documents and database. Moreover, we can use conventional SQL tools and other application development tools for topic map construction in X-TOP. The X-TOP is implemented to have 3-tier architecture to support flexible user interfaces and diverse DBMS. This paper shows the usability of X-TOP by means of the comparison with conventional tools and the application to healthcare cancer ontology management.

• Bulletin of the Korean Mathematical Society
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• v.58 no.6
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• pp.1463-1481
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• 2021

Divisibility properties of harmonic numbers by a prime number p have been a recurrent topic. However, finding the exact p-adic orders of them is not easy. Using class numbers of number fields and Bernoulli numbers, we compute the exact p-adic orders of harmonic type sums. Moreover, we obtain an asymptotic formula for generalized harmonic numbers whose p-adic orders are exactly one.

• Journal of the Korean Society of Physical Medicine
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• v.8 no.3
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• pp.457-466
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• 2013

PURPOSE: The purpose of this study was to investigate the trend of research in Journal of the Korean Society of Physical Medicine (JKSPM). METHODS: A total of 897 articles of JKSPM from Vol.1, No.1, 2006 to Vol.7, No.4, 2012 were reviewed in regard to research type, research level, subjects, research topic, statistic method, and researcher. RESULTS: The most common research type was experimental study(65%). The most common research level was level 2(randomized controlled trials; RCT)(55%). The most common age group of subject was age 11-30 group(55%). The most common diagnosis of subjects was stroke(49%). The main research topic of articles was therapeutic exercise(13.2%). Independent t-test was the most used statistic method. A professor was the most common researcher. The Daegu and Busan were the most common provinces that researcher works. CONCLUSION: This study showed the trend of research in JKSPM and helped readers to understand the trends of research in fields of physical therapy of Korea. In further studies, it is necessary to review systematically and intensively other journals in field of physical therapy.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.173-181
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• 2012

The education method using visual materials such as video contents is getting more attentions in the education field. This study researched how undergraduate students perceive the objective of education method utilizing video contents, what types of education using video contents they put a great importance on, and what kinds of correlations exist between the video contents method and the ability of discussing about a topic in essay-type examinations. With in-depth interviews with undergraduate students, the results showed that video contents was perceived as one of the attractive teaching methods increasing students' comprehension of lectures. Also, students evaluated that the video contents method could provide an opportunity to be exposed to the vivid scene of the journalistic environment and make them learn practical cases at second hand. Moreover, they perceived the video contents method as a very effective learning method improving their ability to discuss about a topic in essay-type exams.

• The Journal of Korean Medical History
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• v.28 no.1
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• pp.61-79
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• 2015

Objectives : In order to prove the extended type of symptom discrimination for triple energizers in Song, Jin and Yuan Dynasty. Methods : Extract the topic-related contents from the books, with key words, triple energizers. After arraying them from this sources according to time order, analyze the data. Results : Analyzing its history from symptom, prescription, and discrimination proved the fact that the extended type of symptom discrimination for triple energizers had been developed continually, and assured that it did not play an important role in forming the narrow type of its symptom discrimination for Wen Bing (溫病) in Qing (淸) Dynasty, but also had been advanced separately from its type for Wen Bing. Conclusions : Symptom discrimination for triple energizers in Song, Jin and Yuan Dynasty gradually went far to become its extended type which widely used for Za Bing (雜病), Wen Bing, and diseases for pediatrics and dermatology.

• The KIPS Transactions:PartD
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• v.13D no.3 s.106
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• pp.299-308
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• 2006

As recently XML is becoming the standard of exchanging web documents and public documentations, XML data are increasing in many areas. To retrieve the information about XML documents efficiently, the semantic web based on the ontology is appearing. The existing ontology has been constructed manually and it was time and cost consuming. Therefore in this paper, we propose the semi-automatic ontology generation technique using the data mining technique, the association rules. The proposed method solves what type and how many conceptual relationships and determines the ontology domain level for the automatic ontology generation, using the data mining algorithm. Appying the association rules to the XML documents, we intend to find out the conceptual relationships to construct the ontology, finding the frequent patterns of XML tags in the XML documents. Using the conceptual ontology domain level extracted from the data mining, we implemented the semantic web based on the ontology by XML Topic Maps (XTM) and the topic map engine, TM4J.