• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.965-967
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• 2013

The paper proposed the DRCS(Disease Rule Creation Scheme) which generates the disease rules for efficient disease management in Healthcare system. The DRCS uses basically Rough Set Theory and computes support between each attributes and decision attributes. It creates the disease rules that judges disease after it removes the attribute which is the lowest support. Therefore, it reduces the number of disease rules and improves the exactness, compared with C4.5 algorithm.

• The Journal of the Acoustical Society of Korea
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• v.26 no.1E
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• pp.1-7
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• 2007

One result of the trend towards globalization is an increased number of projects that focus on natural language processing. Automatic speech recognition (ASR) technologies, for example, hold great promise in facilitating global communications and collaborations. Unfortunately, to date, most research projects focus on single widely spoken languages. Therefore, the cost to adapt a particular ASR tool for use with other languages is often prohibitive. This work takes a more general approach. We propose an International Phoneticizing Engine (IPE) that interprets input files supplied in our Phonetic Language Identity (PLI) format to build a dictionary. IPE is language independent and rule based. It operates by decomposing the dictionary creation process into a set of well-defined steps. These steps reduce rule conflicts, allow for rule creation by people without linguistics training, and optimize run-time efficiency. Dictionaries created by the IPE can be used with the Sphinx speech recognition system. IPE defines an easy-to-use systematic approach that can lead to internationalization of automatic speech recognition systems.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.41-51
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• 2015

The purpose of this research is to investigate the relationship between job creation and ICT usage in service industries. This research is particularly important because job creation is one of the most critical issues for the country. With technology innovation and system integration, manufacturing industries do not create enough employment, therefore, the society relies on service industries for creating job opportunities. Until now, due to limitations, analysis of job creation in service industries through ICT usage has not been investigated in depth. Thus, development of an effective ICT support policy was impossible. In this research, we used seven methods to investigate overall relationship between ICT usage level and job creation. A rule of large numbers has been applied to reach conclusion. Through this research, the government can focus its investment on service industries where job creation rate is the highest. We can expect both reinforcement in competitiveness of our service industry and continuous creation in employment, eventually leading to a virtuous cycle.

• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.121-129
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• 2012

Association rule mining searches for interesting relationships among items in a given database. Currently, study of the constraint-based association rules are underway by many researchers. When we create relation rule, we can often find a lot of rules. Of this rules, we can find rule that direct relativity by marginally conditional variables (intervening variable, external variable) does not exist. In such a case, this association rule can be considered insignificant. In this study, we want to study for association rules creation using marginally conditional variable. The result of this study can find meaningless association rules. Also, we can understand more exactly the relationships between variables.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.7
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• pp.715-722
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• 1988

It is very important that we create reference templates to recognize speech of speeker-independent as convergence as possible vocal tract variation of each speaker. We used to clustering technique for this and creation rule of reference templates to be cluster centers is key point of thema. In this paper, we created reference tempaltes using the minimax for existance and MMS technique suggested in this study. Also, we created reference template until top 3 and compared to recognition result. When we create 3 reference templates recognition rate is 91.6% for minimax and recognition rate is 95.8% for MMS.

• International Journal of Control, Automation, and Systems
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• v.4 no.3
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• pp.372-381
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• 2006

The purpose of this study was to develop a process management system to manage ingot fabrication and improve ingot quality. The ingot is the first manufactured material of wafers. Trace parameters were collected on-line but measurement parameters were measured by sampling inspection. The quality parameters were applied to evaluate the quality. Therefore, preprocessing was necessary to extract useful information from the quality data. First, statistical methods were used for data generation. Then, modeling was performed, using the generated data, to improve the performance of the models. The function of the models is to predict the quality corresponding to control parameters. Secondly, rule extraction was performed to find the relation between the production quality and control conditions. The extracted rules can give important information concerning how to handle the process correctly. The dynamic polynomial neural network (DPNN) and decision tree were applied for data modeling and rule extraction, respectively, from the ingot fabrication data.

• Korean Institute of Interior Design Journal
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• v.26 no.1
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• pp.75-82
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• 2017

This study reviews the process of creating the patterns through the Christopher Alexander's books to discover the fundamental rules for creation of the pattern language. The essential ideas of 11 rules describing the characteristics of the pattern language are organized by keyword depending on the characteristics of each rule. Then, this study analyzes which keyword was applied importantly and how it had been developed chronologically in the Alexander's books. As a result, 5 keywords - reflection of cultural difference, reflection of human desires, solving the repeated problem, function suitable for principal purpose, and network structure - are applied to his early books in which the pattern language was theoretically developed, the pattern of traditional society was discovered and the network structure was developed. Another 5 keywords - user participation method, new problem solving, structure preserving transformation, post-mechanization method, and central invariant structure - are applied to the books in his mid-term after completion of the pattern theory which discover new pattern for contemporary society and apply the pattern language to time and space. In his later books which organize the theory of pattern language and suggest the direction for using the pattern language, 5 keywords - wholeness, post-mechanization method, user participation method, new problem solving, and structure preserving transformation - are applied. Users may use the pattern language more precisely if he/she considers the keywords of the early period in searching the patterns of existing environment, the keywords of the intermediate period in searching the patterns of new environment or in regard to time and space, and the keywords of the later period in considering direction of the application of the pattern language.

• Journal of Korean Library and Information Science Society
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• v.30 no.3
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• pp.175-198
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• 1999

The Creation of bibliographic records for conference publication is difficult for catalogers and the records are difficult for patrons to use. We have found many difficulties in cataloging conference publications, because of the insufficiency and ambiguity of the cataloging rule. This study deals with the characteristics, type and data elements of conference publications, and the problems of the choice of heading and the creation of bibliographic records in the USMARC and KORMARC.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.11
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• pp.815-822
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• 2013

Nowadays, the various kind of software packages that support content creation consumed in touch-type terminals as an application have come into the market. These softwares have a different style of user task compare to existing user task. The reason why difference style has been appeared for now is because interaction timing has a important role of both content creation and consumption. For this reason, in this paper, we propose a software UI design framework for content creation using MB-UID and UCD model based on task modeling. The proposed framework is made up of five steps: business rule model, creation role model, creation flow model, creation action model, presentation model. Through this framework, we handle the interaction between a content creator and software user interface at the content creation phase. At the same time, we consider a possible interaction type which can occur by consumers at the consumption phase in advance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.4
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• pp.961-972
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• 2016

For securing password-based authentication, a user must select and manage a strong password that has sufficient length and randomness. Unfortunately, however, it is known that many users are likely to choose easy-to-remember weak passwords and very poorly manage them. In this paper, we study a domestic user case of password selection and management. We conducted a survey on 327 domestic users and analyzed their tendency on password creation and update strategies, and also on the password structure and account management. We then analyzed an effect of a server's password creation rule on a structure of a user-chosen password. Our findings include that there are password structures and special characters that users significantly prefer while the effect of server's password creation rule is insignificant.