• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.37-44
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• 2008

With the growing proliferation of mobile computing devices, several industrial and academic research groups have a vigorous studying to remote control for various appliances with mobile devices such as Notebooks, PDAs, and Smartphones in home network environments. We can utilize the good points of mobile devices such as portability and usability so that we can remote control and manage the mobile devices connected on home networks anytime, anywhere. However, mobile devices use different languages. Therefore, they cause some problems because their interfaces and the methods of operation are different each other. To solve these problems, there are two consideration. First, we may be solved development of the user interface and difficulty of maintenance in order to control various heterogeneous devices. Second, we may provide the user interface which is dynamically adapting user's preferences and device characteristics. To satisfy these considerations, we describe the design of an adaptive user interface for home network environments using the UIML (User Interface Markup Language) based on XML (eXtensible Markup Language) and the profile information of the user and device. Therefore, we present several implementation examples that show how the framework can form the basis of prototypical applications.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.3
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• pp.125-132
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• 2022

Sentence compression is a natural language processing task that generates concise sentences that preserves the important meaning of the original sentence. For grammatically appropriate sentence compression, early studies utilized human-defined linguistic rules. Furthermore, while the sequence-to-sequence models perform well on various natural language processing tasks, such as machine translation, there have been studies that utilize it for sentence compression. However, for the linguistic rule-based studies, all rules have to be defined by human, and for the sequence-to-sequence model based studies require a large amount of parallel data for model training. In order to address these challenges, Deleter, a sentence compression model that leverages a pre-trained language model BERT, is proposed. Because the Deleter utilizes perplexity based score computed over BERT to compress sentences, any linguistic rules and parallel dataset is not required for sentence compression. However, because Deleter compresses sentences only considering perplexity, it does not compress sentences by reflecting the linguistic information of the words in the sentences. Furthermore, since the dataset used for pre-learning BERT are far from compressed sentences, there is a problem that this can lad to incorrect sentence compression. In order to address these problems, this paper proposes a method to quantify the importance of linguistic information and reflect it in perplexity-based sentence scoring. Furthermore, by fine-tuning BERT with a corpus of news articles that often contain proper nouns and often omit the unnecessary modifiers, we allow BERT to measure the perplexity appropriate for sentence compression. The evaluations on the English and Korean dataset confirm that the sentence compression performance of sentence-scoring based models can be improved by utilizing the proposed method.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.5
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• pp.605-613
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• 2007

The purpose of this study is to develop a structural analysis system of LNG pump tower structure. The system affords to build optimized finite element model and procedure of the pump tower structure. The pump tower structure is one of the most important components of LNG (liquefied natural gas) carriers. The pump tower structure is subject to sloshing load of LNG induced by ship motion depending on filling ratio. Three typer of loading components, which are thermal, inertia and self-gravity are considered in the analysis. The finite element analysis is performed with ANSYS commercial code. The failure of each members can be evaluated of API unity and punching shear in ABS rule. The GUI is newly developed using Tcl/tk script language. All these design and analysis procedures are embedded in to the analysis system successfully.

• The KIPS Transactions:PartB
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• v.9B no.6
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• pp.827-834
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• 2002

In this paper, we proposed the formation of Korean-Roman alphabet notation conversion table for the generation of Korean-Roman alphabet notation that also meets revised Roman alphabet notation. Introduced a mathematical analyzing method of the natural language which used a petrinet model so that a base of Roman alphabet notation analyzed standard pronunciation and Roman alphabet notation to work mathematically. It display the practical example through a petrinet modeling of a plan and Roman alphabet notation to create a Korean Roman alphabet notation conversion table with the method of the analysis that used a petrinet model, and present a mathematical modeling plan and application method of Korean. We developed application program based on window in order to verify a created Korean-Roman alphabet notation conversion table, and compared the result of an application program with Roman alphabet notation of an Roman alphabet notation example dictionary.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.55
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• pp.63-93
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• 2012

The purpose of this paper is to examine the consideration factors, from both parties' perspective, to select the most appropriate arbitral institution when they inset an arbitration clause in their contract. Accordingly, the author analyzed the advantages of institutional arbitration compared to non-institutional arbitration. The typical advantages of institutional arbitration would include: $\bullet$ Benefits of using an established set of rules $\bullet$ Services provided by the institution $\bullet$ Low risks of obstruction $\bullet$ Enhancement of the possibilities of enforcement $\bullet$ Forecast of the estimated cost $\bullet$ Specially useful for existing disputes Next, this author examined the consideration factors when selecting the institution in respect of the following factors: $\bullet$ Institution's arbitration rules $\bullet$ Institution's rule regarding the appointment of arbitrators $\bullet$ Ability of administrators of each institution $\bullet$ Reputation of the arbitral institution and the likability of enforceability of its award $\bullet$ Cost $\bullet$ Choice of the arbitral institution in relation to the choice of place of arbitration Finally, this author reviewed Model Arbitration Clause of major international or local Institutions, including ICC, AAA, LCIA, KCAB, CIETAC, ICSID and WIPO. Further examination was given to the selection of the numbers of the arbitral tribunal, the seat of arbitration and the language of arbitration, according to the designated articles in each institution's arbitration rules.

• Journal of Information Processing Systems
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• v.7 no.3
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• pp.459-472
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• 2011

The vast number of biomedical literature is an important source of biomedical interaction information discovery. However, it is complicated to obtain interaction information from them because most of them are not easily readable by machine. In this paper, we present a method for extracting biomedical interaction information assuming that the biomedical Named Entities (NEs) are already identified. The proposed method labels all possible pairs of given biomedical NEs as INTERACTION or NO-INTERACTION by using a Maximum Entropy (ME) classifier. The features used for the classifier are obtained by applying various NLP techniques such as POS tagging, base phrase recognition, parsing and predicate-argument recognition. Especially, specific verb predicates (activate, inhibit, diminish and etc.) and their biomedical NE arguments are very useful features for identifying interactive NE pairs. Based on this, we devised a twostep method: 1) an interaction verb extraction step to find biomedically salient verbs, and 2) an argument relation identification step to generate partial predicate-argument structures between extracted interaction verbs and their NE arguments. In the experiments, we analyzed how much each applied NLP technique improves the performance. The proposed method can be completely improved by more than 2% compared to the baseline method. The use of external contextual features, which are obtained from outside of NEs, is crucial for the performance improvement. We also compare the performance of the proposed method against the co-occurrence-based and the rule-based methods. The result demonstrates that the proposed method considerably improves the performance.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.93-110
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• 2015

This study aimed at identifying user recognition of the types and causes of online game trolling through in-depth interview with users of . Online game trolling refers to anti-social behaviors to do acts provoking other users to anger intentionally so induce their actual reaction in online games. Types of online game trolling contained flaming, griefing, unskilled player and lack of understanding on user's rule. And users are recognizing as problems that anonymity is excessively high in the game, a single game has undue significance, team play is given too much emphasis in a situation lacking in social cohesivenessk as the structural causes of trolling in . Accordingly, in order to decrease online game trolling, it is urgent to improve the game-structured layer causing trolling rather than regulate trollers only.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.441-450
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• 2008

Recently, access control on form-based web information systems has become one of the useful methods for implementing client systems in a service-oriented architecture. In particular, XForms language is being adopted in many systems as a description language for XML-based user interfaces and server interactions. In this paper, we propose an efficient algorithm for the evaluation of XPath-based access rules for XForms pages. In this model, an XForms page is a sequence of queries and the client system performs user interface realization along with XPath rule evaluations. XPath rules have instance-dependent predicates, which for the most part are shared between rules. For the efficient evaluation of shared predicate expressions in access control rules, we proposed a predicate graph model that reuses the previously evaluated results for the same context node. This approach guarantees that each predicate expression is evaluated for the relevant xml node only once.

• Cross-Cultural Studies
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• v.23
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• pp.351-382
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• 2011

This paper aims to compare systems and questions between Chinese I in the Korea National Scholastic Aptitude Test(abbreviated by KNSAT) and Chinese with Listening in the SAT. In the beginning, we compared KNSAT and SAT, and then focused our attention on Chinese I in KNSAT and Chinese with Listening in SAT in terms of assessment purposes, sections, ranges, questions. Through the research, the following results were obtained: Firstly, compared KNSAT with SAT, it is found that Chinese I is less important in KNSAT than Chinese with Listening in SAT. Chinese I belongs to one of the second foreign languages section, and it is placed under common rule of its section. However, Chinese with Listening is similar to Chinese I in that it also belongs to one of the languages section, but it keeps under its control, so it has its own system e.g. purpose, range etc.. Next, compared Chinese I with Chinese with Listening, in the matter of purposes of them, Chinese I is less explicit and less concrete to explain it than Chinese with Listening, and in respect of sections of them, the sections of Chinese I are leaning more toward language materials contrary to Chinese with Listening leaning more toward language functions. And in terms of ranges of them, Chinese I is limited to Basic vocabulary and Examples of communicative function in curriculum of Chinese I, but Chinese with Listening has not any limit on the ranges of questions. Lastly, with regard to questions of them, Chinese I has more tendency toward assessing knowledge of Chinese, on the contrary, Chinese with Listening has more tendency toward assessing performance of it.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.348-358
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• 2022

The purpose of this study is to produce visual content for effective education of Passive verbs and Causative verbs in Korean language education for foreigners. Passive verbs and causative verbs are contents that must be taught to intermediate level learners. However, it is recognized as a difficult item for both learners and Korean teachers because the realization pattern is complicated, and there is no rule to explain the combination relationship between the action and the instruction by suffix. In this article, the use of nonverbal information that can improve the learning effect was considered. Providing verbal and non-verbal information together in language education can be expected to improve learners' communication skills. In particular, visual content is non-verbal information that can positively affect memory enhancement, playback, and transition. Therefore, this study attempted to plan and produce picture cards as visual materials. The picture card, produced with a focus on the correct education of Korean Passive verbs, will efficiently and significantly make Korean Passive verbs and Causative verbs teaching and learning by suffixes.