• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.5
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• pp.970-976
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• 2001

In this paper, OUIG IDL CFE, provided by Sunsoft, is used to take a IDL definitions as inputs and parse those. OmniORB3 is introduced to support functionality of the ORB. Suns CFE produce AST after parsing inputs. Actually, the node of AST Is instances of classes which are derived from CFE classes. As the compiler back end visit the node of the AST using iterator class, UTL_ScopeActiveIterator, it dumps codes of output. During processing, two files are generated. Routines of generating code are invoked by BE_produce.cc and codes are produced while visiting root of AST, idl_global->root(). The dump* functions which dump codes is called according to the type of node. In this paper, Mapping C++ of IDL definition is experimented and results In the same as that of omniidl which is provided by omniORB3. The code of results behavior correctly on omniORB3. In the future, we are interested in optimizing the performance of marshalling code via IDL compiler.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.1091-1096
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• 2002

This paper presents the development of a protein interaction database. The developed system is characterized as follows. First, the proposed system not only maintains interaction data collected by an experiment, but also the genomic information of the protein data. Secondly, the system can extract details on interacting proteins through the developed wrappers. Thirdly, the system is based on wrapper-based system in order to extract the biologically meaningful data from various web sources and integrate them into a relational database. The system inherits a layered-modular architecture by introducing a wrapper-mediator approach in order to solve the syntactic and semantic heterogeneity among multiple data sources. Currently the system has wrapped the relevant data for about 40% of about 11,500 proteins on average from various accessible sources. A wrapper-mediator approach makes a protein interaction data comprehensive and useful with support of data interoperability and integration. The developing database will be useful for mining further knowledge and analysis of human life in proteomics studies.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.404-411
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• 2008

The purpose of this study is to suggest the effects of schema activation on reading comprehension. The subject of a sample survey was a 36 student experimental group and a 32 student control group, total 68 students at third grade class of C Middle School in Gwangju. Students ability to read English in the two groups were almost the same through, which was shown by pre-test administered before the beginning of the experiment. As a pre-reading activity, the experimental group was showed the pictures and vocabularies related to the text before reading. The other control group did Grammar Translation Method about text. The data needed for this study was obtained by the questionnaires with 25 questions about the English reading. The data analyzing method was t-test through the statistics program SPSS 12.0. The result of this study is as follows : First, the experimental group got a more meaningful score than the control group at the test. Second, pre-reading activities for providing prior knowledge of the text were affected by the student's English proficiency, peculiarly more effective on low level student than advanced level. Studying English reading through schema activation led the students to be present in classes with interests, so the experimental group showed more academic accomplishments than the control group.

• Journal of Engineering Education Research
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• v.11 no.2
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• pp.42-49
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• 2008

Though the 'Program Educational Objectives' is the first and important criterion in ABEEK's engineering education accreditation, exact meaning and implementation methods have not been understood well. It was often confused with 'Program Outcomes' and its implementation and evaluation methods do not reflected well on the concepts of "outcomes based and demand driven education". A new implementation model for 'Program Educational Objectives' has been developed using step by step application. The model explains the meaning of every step (phase), and key constituents in each phase. The specialization and CQI of the program could be satisfied by applying the model properly.

• Journal of Service Research and Studies
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• v.2 no.2
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• pp.45-51
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• 2012

U-healthcare is real-time monitoring of personal biometric information using by portable devices, home network and information and communication technology based healthcare systems, and fused together automatically to overcome the constraints of time and space are connected with hospitals and doctors. As u-healthcare gives health service in anytime and anywhere, it becomes to be a new type of medical services in patients management and disease prevention. In this paper, recent changes in prevention-oriented care is analyzed in becoming early response for Healthcare Information System by requirements analysis for technology development trend. According to the healthcare system, PACS, OCS, EMR and emergency medical system, U-healthcare is presenting the design of a patient-centered integrated client system. As the relationship between the meaning of the terms is used in the ontology, information models in the system is providing a common vocabulary with various levels of formality. In this paper, we propose an ontology-based system for patient-centered services, including the concept of clustering to clustering the data to define the relationship between these ontologies for more systematic data.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.217-224
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• 2006

As the online game which is possible of large-scale multiple access enjoys popularity, the number of development by many online game manufacturers came to increase exponentially. But, the reason why the qualitative expansion pace cannot follow the pace of the quantitative expansion on games is that most of them are paltry enterprises except the leading enterprises which are occupying few competitive advantages, so there is no well-established production procedure, and accurate test before the launch isn't accompanied. Therefore, it doesn't cope flexibly to the expectable results. Now, important function is not embodied through the game feature checking stage of the same feature or is under the situation being used in finding out the fatal error of the specific parts. To this, this study collects the emotional vocabulary in the games to suggest the evaluation system that can evaluate the emotion the user feels while playing the game with the usage of the evaluation system that is leaned toward the existing usage evaluation system, and through factor analysis, we classify them into interactivity, interface and information factors and suggest the emotion evaluation system while designing the evaluation questions according to it.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.81-92
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• 2003

Generalized LR parsing is one of the enhanced LR parsing methods so that it overcome the limit of one-way linear stack of the traditional LR parser using graph-structured stack, and it has been playing an important role of a firm starting point to generate other variations for NL parsing equipped with various mechanisms. In this paper, we propose a conditional Action Model that can solve the problems of conventional probabilistic GLR methods. Previous probabilistic GLR parsers have used relatively limited contextual information for disambiguation due to the high complexity of internal GLR stack. Our proposed model uses Surface Phrasal Types representing the structural characteristics of the parse for its additional contextual information, so that more specified structural preferences can be reflected into the parser. Experimental results show that our GLR parser with the proposed Conditional Action Model outperforms the previous methods by about 6-7% without any lexical information, and our model can utilize the rich stack information for syntactic disambiguation of probabilistic LR parser.

• The KIPS Transactions:PartB
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• v.18B no.4
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• pp.231-240
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• 2011

Many search algorithms have been implemented by many researchers on the world wide web. One of the best algorithms is Google using PageRank technology. PageRank approach computes the number of inlink of each documents then ranks documents in the order of inlink members. But it is difficult to find the results that user needs, because this method find documents not valueable for a person but valueable for the public. To solve this problem, We use the WordNet for analysis of the user's query history. This paper proposes a personalized search engine using the user's query history and PageRank Check. We compared the performance of the proposed approaches with google search results in the top 30. As a result, the average of the r-precision for the proposed approaches is about 60% and it is better as about 14%.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.6
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• pp.1034-1044
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• 2016

This study seeks a method to objectively evaluate sensibility based on Big Data in the field of design. In order to do so, this study examined the sensibility responses on design factors for the public through a network analysis of texts displayed in social media. 'Hanbok', a formal clothing that represents Korea, was selected as the subject for the research methodology. We then collected 47,677 keywords related to Hanbok from 12,000 posts on Naver blogs from January $1^{st}$ to December $31^{st}$ 2015 and that analyzed using social matrix (a Big Data analysis software) rather than using previous survey methods. We also derived 56 key-words related to design elements and sensibility responses of Hanbok. Centrality analysis and CONCOR analysis were conducted using Ucinet6. The visualization of the network text analysis allowed the categorization of the main design factors of Hanbok with evaluation terms that mean positive, negative, and neutral sensibility responses. We also derived key evaluation factors for Hanbok as fitting, rationality, trend, and uniqueness. The evaluation terms extracted based on natural language processing technologies of atypical data have validity as a scale for evaluation and are expected to be suitable for utilization in an index for sensibility evaluation that supplements the limits of previous surveys and statistical analysis methods. The network text analysis method used in this study provides new guidelines for the use of Big Data involving sensibility evaluation methods in the field of design.

• Smart Media Journal
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• v.5 no.1
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• pp.61-68
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• 2016

According to increasing SNS users and developing smart devices like smart phone and tablet PC recently, many techniques to classify user emotions with social network information are researching briskly. The use emotion classification stands for distinguishing its emotion with text and images listed on his/her SNS. This paper suggests a method to classify user emotions through sampling a value of a representative figure on a trigonometrical function, a representative adjective on text, and a canny algorithm on images. The sampling representative adjective on text is selected as one of high frequency in the samplings and measured values of positive-negative by SentiWordNet. Figures sampled on images are selected as the representative in figures; triangle, quadrangle, and circle as well as classified user emotions by measuring pleasure-unpleased values as a type of figures and inclines. Finally, this is re-defined as x-y graph that represents pleasure-unpleased and positive-negative values with wheel of emotions by Plutchik. Also, we are anticipating for applying user-customized service through classifying user emotions on wheel of emotions by Plutchik that is redefined the representative adjectives and figures.