• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.523-530
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• 2008

There are many defects that cause the process improvement of lifecycle problems during software development. This paper propose the management method of risk items that removes and manages the lifecycle problems as well. For the similar projects, we can estimate defects and prepare to solve them by using domain expert knowledge and the state analysis of defect items, which can greatly improve the software process. This research provides solution of management of risk items problem and detection of defect transition and its prevention and causes that happen on software development. Also, In this paper propose to making quantity of degree and transition phase.

• Journal of KIISE:Databases
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• v.32 no.2
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• pp.204-218
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• 2005

XML has rapidly emerged as the standard for the interchange of data in numerous application areas. To support for efficient queries against XML data, many query languages have been designed. The query languages require the users to know the structure of the XML documents and specify search conditions on the structure. This path-based query against XML documents is a natural consequence of the hierarchical structure of XML. However, it is also desirable to allow the users to formulate no path queries against XML documents, to complement the current path-based queries. In this paper, we design a query expression capable of querying without knowledge about the structure of XML documents, and develop a query processor to evaluate no path queries.

• The KIPS Transactions:PartB
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• v.12B no.2 s.98
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• pp.203-208
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• 2005

We propose an algorithmic approach for handling linguistic values defined in the same linguistic variable. Using the proposed approach, we can explicitly capture the differences of individuals' subjectivity with respect to linguistic values defined in the same linguistic variable. The proposed approach can be employed as a useful tool for discovering hidden relationship among linguistic values defined in the same linguistic variable. Consequently, it provides a basis for improving the precision of knowledge acquisition in the development of fuzzy systems including fuzzy expert systems, fuzzy decision tree, fuzzy cognitive map, ok. In this paper, we apply the proposed approach to a collective linguistic assessment among multiple experts.

• The KIPS Transactions:PartB
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• v.12B no.2 s.98
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• pp.209-214
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• 2005

The use of protein interaction data is highly reliable for predicting functions to proteins without function in proteomics study. The computational studies on protein function prediction are mostly based on the concept of guilt-by-association and utilize large-scale interaction map from revealed protein-protein interaction data. This study compares graph-based approaches such as neighbor-counting and $\chi^2-statistics$ methods using protein-protein interaction data and proposes an approach that is effective in analyzing large-scale protein interaction data. The proposed approach is also based protein interaction map but sequence similarity and heuristic knowledge to make prediction results more reliable. The test result of the proposed approach is given for KDD Cup 2001 competition data along with those of neighbor-counting and $\chi^2-statistics$ methods.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.2
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• pp.79-88
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• 2016

Recently, there is an increasing number of startups in wine business because of the rapid growth of wine consumption. The entrepreneurs need support to prepare infrastructure of wine business. Entrepreneurship is a course of preparing funding, personnel, and technology for preliminary entrepreneurs. In this paper, we implement a wine recommendation application for preliminary entrepreneurs of preparing the wine business as part of the technical support project. The proposed application is to collect accurate data using barcode recognition technology. Finally, proposed application aims the building of the wine knowledge-base through the data analysis by applying efficient algorithms.

• The KIPS Transactions:PartD
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• v.16D no.2
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• pp.185-190
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• 2009

The event sequence of the same type from a set of events having time property can be summarized in one event. But if the event sequence having an interval, It is reasonable to be summarized more than one in independent sub event sequence of each other. In this paper, we suggest a method of temporal data mining that summarizes the interval events based on Allen's interval algebra and finds out interval event association rule from interval events. It provides better knowledge than others by using concept of an independent sub sequence and finding interval event association rules.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.615-620
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• 2002

SCRM is international standard for sharing and reusing of learning contents as unit of SCO. But when we want to reuse this learning content by modifying a portion of it in similar knowledge domain, there is a problem that modification of original content has to be made. This paper suggests I-SCO model that enables to develop inheritable contents to solve this problem. The I-SCO model increases the reusability of contents based on SCORM by means of supporting inheritance that includes overloading and overriding. In this paper, we design and implement the I-SCO model, and execute on the runtime environment which is distributed by ADL. This experimentation shows the inheritability of contents and proves the validity of I-SCO model.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.626-631
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• 2007

Autonomous robots performing desired tasks in rough, changing, unstructured environments without continuous human assistance must have the ability to cope with its surroundings whether this be certain or not. The development of algorithms deriving useful conclusions from uncertain information obtained by various sensors may be the first for it. Recently ontology is taken great attention as a method useful for the representation and processing of knowledge. In this paper, we propose an ontology-based navigation algorithm for autonomous robots, and provide computer simulation results in order to show the validity of the proposed algorithm.

• Journal of the Society of Naval Architects of Korea
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• v.42 no.5 s.143
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• pp.534-541
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• 2005

Until now, Korean shipyards have accumulated a great amount of data. But they do not have appropriate tools to utilize the data in practical works. Engineering data contains experts' experience and know-how in its own. It is very useful to extract knowledge or information from the accumulated existing data by using data mining technique This paper treats an evolutionary computation based on genetic programming (GP), which can be one of the components to realize data mining. The paper deals with linear models of GP for the regression or approximation problem when given learning samples are not sufficient. The linear model, which is a function of unknown parameters, is built through extracting all possible base functions from the standard GP tree by utilizing the symbolic processing algorithm. In addition to a standard linear model consisting of mathematic functions, one variant form of a linear model, which can be built using low order Taylor series and can be converted into the standard form of a polynomial, is considered in this paper. The suggested model can be utilized as a designing tool to predict design parameters with small accumulated data.

• Journal of Korean Elementary Science Education
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• v.37 no.4
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• pp.352-362
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• 2018

With the advent of the 4th industrial revolution, the educational innovation focusing on the key competencies is occurring in the whole world. In September 2015, the Ministry of Education suggested six key competencies such as self-management competency, knowledge/information processing competency, creative thinking competency, aesthetic sensibility competency, communication competency, and community competency for the 2015 revised national curriculum. Also, this era requires for diverse lessons like subject integrated/converged lesson and intramural/extramural education. Thus, the objective of this study is to research/analyze exhibitions of Busan National Science Museum as extramural educational institute and to relate between the 2015 revised curriculum and exhibitions of science museum. First, the exhibitions of permanent exhibition hall in Busan National Science Museum were researched/analyzed. It analyzed the current status, display type, and explained contents of exhibitions. Second, it analyzed the relations between contents of the exhibition and key competencies in the 2015 revised curriculum. Third, the 2015 revised curriculum for the 3rd and 6th grade related to the selected exhibition contents was analyzed. The analysis on the exhibition contents performed by this study would be helpful for follow-up researches connected to exhibitions of Busan National Science Museum.