• Korean Journal of English Language and Linguistics
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• v.2 no.3
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• pp.305-327
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• 2002

This paper is in line with the attempts to examine two assumptions implied about the role of Universal Grammar (UC) in nonnative language acquisition: Are the EFL learners at disadvantage in acquiring UC-driven knowledge? Are there critical period effects in EFL learning? Based on the research with the seven studies of ESL and EFL adult learners performance on the Subjacency violation sentences, the paper investigates the extent to which the EFL adult learners can attain UG-driven knowledge represented by the Subjacency Principle. It also makes comparison of the EFL learners level of access to UG with that of their counterparts, the ESL learners. The research findings suggests that the EFL environment doesn't prevent the learners from acquiring target grammar in UG domain. That is, the current paper strongly suggests that the EFL adult-learners be able to acquire UG-driven knowledge to a considerable extent, at least as high as the ESL adult learners can attain. For the interpretation of the research results of the seven studies, Constructionist Hypothesis (CH) supported by a Minimalist Program (MP) assumption is employed. CH seems more plausible to account not only for incomplete acquisition observed among the beginning and intermediate level learners but also for the native-like competence acquired by advanced level L2 learners.

• Journal of Korean Library and Information Science Society
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• v.10
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• pp.27-58
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• 1983

The purpose of this study is to clarify the educational literature search methodology objectives and the content structure of a course in bibliography. The content of this study can be summarized as follows: 1. The concept and domain of literature search methodology, which has traditionally gone by the name of a guide to use of literature and library, are described. 2. The need of incorporating the methodology into regular college curriculum was investigated in view of the ideology of college education. 3. The background, process, and current status of offering a course in the methodology as a part of regular college curriculum were examined. 4. The educational objective of a course in the methodology was set at the successful activities in self study, life-long-education, and special topic research. 5. Considering the fact that technical knowledge and propositional knowledge should be realized simultaneously, that educational experience should go hand in hand with materials and library, and that knowledge should be constructed systematically and logically, the content structure of the methodology were divided into the following six categories: a) the significance of the methodology of literature search b) the college library and the activities of literature search c) types and characteristics of materials d) literature search by catalog e) explanation of basic bibliography f) research and literature search

• Knowledge Management Research
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• v.10 no.3
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• pp.35-49
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• 2009

The purpose of this study is to examine whether suppliers are able to benefit by means of constructing a relationship-specific intangible asset and participating in collaboration with purchasers to actively maintain value created while mutually using inter-organizational information systems. To achieve the purpose of this study. 82 questionnaires have been analyzed from suppliers which are using electronic transactions through inter-organizational information systems. As a result, business process specificity and domain knowledge specificity, which are relationship-specific intangible assets, affect operational collaboration and strategic collaboration, which are classified by level of decision-making. Although both types of collaboration are needed to achieve both strategic and operational benefits, we find each collaboration to be uniquely promoted by a specific types of relationship-specific intangible asset. Operational collaboration is found to be an antecedent to operational benefit and strategic collaboration is found to be an antecedent to strategic benefits. No crossover between collaboration and supplier's benefits is found. Consequently, the result of this study shows collaboration is needed for domestic suppliers, which have relatively low levels of collaboration, to keep maintain relationship-specific intangible assets and to prevent the relationship termination cost when transactions have been stopped between supplier and purchaser. Also the results imply the supplier can have advantages by participating in collaboration.

• 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.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.760-765
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• 2009

Since the features in object-images such as color and shape cannot clearly express the characteristic of objects, those features lead to vagueness of object-image recognition. Recently there have been studied on object-image recognition based on knowledge base in order to reduce the vagueness. However, because images are represented by numerical information but knowledge bases are represented by conceptual information, combining two kinds of information is difficult. In this paper, we compose knowledge base by using ontology to reduce the gap between the two kinds of information, and propose a method for object-image recognition to reduce the vagueness by using information on inner-object. Moreover, we confirm the usefulness of the proposed method through the experiments on object-image recognition in fruit domain.

• International Journal of Knowledge Content Development & Technology
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• v.6 no.2
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• pp.29-42
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• 2016

Performing an online health search is a popular activity conducted on the Internet. Research studies from developed countries provide information on source used, type of search performed and devices used to perform the search. However, the same cannot be said about the online health information searching scene in South East Asia. Online health information searching is gaining popularity in South East Asia. Citizens in these countries are turning to the Internet to obtain health information quickly. Current research studies pertaining to online health information searching in South East Asian is limited, particularly relating to search experiences of South East Asian health searchers. Search experience is pertinent as it could deter or encourage the possibility of conducting future health searches. In this research study, a user study was conducted to describe the online search experience of South East Asian health searchers. A face to face interview with 50 participants was conducted. The interview was audio recorded and transcribed verbatim. Results indicate participants have positive and negative search experiences. In some cases, post search outcomes influenced the search experience. Results of this research study contribute to the growing domain of knowledge in relation to online health information searching. Results of this study also provide an understanding pertaining to the search experience of South East Asian online health searchers.

• Journal of Intelligence and Information Systems
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• v.6 no.1
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• pp.73-82
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• 2000

This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.

• Journal of the Society of Naval Architects of Korea
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• v.38 no.3
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• pp.107-116
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• 2001

Any small leakages in the submarines could lead to the serious consecutive damages since it operates under high water pressure. Such leakages including damages of pipe and hull itself eventually could incur humane casualties and loss of expensive properties as well as the loss of combat capabilities. In this paper, knowledge based decision system is developed. The domain knowledge is acquired from document of submarine design, design expertise and interview with operator. Damages of hull itself and pipes are treated and decision is recommended whether to stay in the sea or to be blowing, for instance.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.84-97
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• 2021

Digital twins are one of the promising digital technologies used to facilitate digital transformation. Therefore, it needs to continually be developed remain relevant in industry and academia. Consolidation of research is required to create a common understanding of the topic and to ensure that future research is built upon a solid foundation. Based on a bibliometric review and a thematic analysis of 217 publications on digital twins from the past two decades, this paper creates and analyzes a visual knowledge map and proposes areas for further research. To comprehensively analyze the development trends and research trends of digital twins, we performed statistical analysis of the relevant literature on digital twins within the core collection database of Web of Science. Through our research, we have shown that the current situation, trends, and hotspots of digital twin research were analyzed via CiteSpace. This study demonstrates that research on digital twins is rapidly growing in popularity, that the output of the research depends largely on the core group of authors conducting it, and that digital twins warrant cross-domain and cross-disciplinary research pathways.

• Journal of IKEEE
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• v.26 no.1
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• pp.19-26
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• 2022

In this paper, we propose an algorithm that applies a different variable lambda to each loss value to solve the performance degradation caused by domain differences in LwF, and show that the retention of past knowledge is improved. The lambda value could be variably adjusted so that the current task to be learned could be well learned, by the variable lambda method of this paper. As a result of learning by this paper, the data accuracy improved by an average of 5% regardless of the scenario. And in particular, the performance of maintaining past knowledge, the goal of this paper, was improved by up to 70%, and the accuracy of past learning data increased by an average of 22% compared to the existing LwF.