• The Transactions of the Korea Information Processing Society
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• v.7 no.10
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• pp.3064-3074
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• 2000

Lately computing environment is changing into integrating open system Some corporations and research institutions are still using old codes and not dealing with the rapid canging environment actively. Also several software developers have difficulties with the problems of productivity and translating old codes. This paper proposes Integration Object Management Model to deal with the rapid changing environment effectively and to improe productivity about new software development. The model is divided into three layers the first layer classifies and displays information to users, the second layer controls function, the integrationand management layer, and the last layer manages data, the object management stroage later. So it designs and implenments F77/J++ Generator system(FORTRAN77/Java code generator) for Integrated Object Management Model. The generator helps to translate old codes into new codes in redesigning the business and promoting productivity. In consists of nine-stage strategies using reengineering. This might support agterward protolyping in maximizing the reuse of software, which is advanlage to the integrationof the system and in pro,oting its productivity.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.350-353
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• 2007

복잡하고 다원화되어 있는 재택건강관리 계획 모델링을 계층적 작업 네트워크 계획을 기반으로 설계하여 분산 네트워크의 성능을 최대한으로 활용한 자동화 계획 설계를 제안하였다. 이를 위하여 SHOP라는 계층적 작업 도구를 이용하여 응급, 주의, 비정상, 정상과 같은 4가지 시나리오 모델에 따른 맞춤형 건강관리 계획 설계를 구현하여 재택건강관리 시스템의 상태분류에 대한 보조 의사 결정 도구로써 적용하였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.8
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• pp.911-916
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• 2014

The leisure boat industry has the potential to become a high-value-added industry in the future. Recently, a study on Korean high-speed leisure boats for fishing was conducted. This study suggests a product configuration model-based shipbuilding cost estimation method for determining the type of leisure boat suitable for mass production, as part of a research for productivity improvement. The suggested estimation method based on the analysis of the leisure boat process and generic YWBS can calculate quantitative and concrete data. By using this method, the cost of building the catamaran-type design ship can be reduced by 17 times, compared to that of the monohull-type mother ship. This implies that the final design of the Korean high-speed leisure boat for fishing will have a competitive price at the actual production stage.

• Journal of Software Engineering Society
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• v.24 no.1
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• pp.19-26
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• 2011

Since smart phones have various embedded sensors and high portability/usability, they have emerged as suitable targets to collect information and to provide intelligent services. That is, with a smart phone, we can collect information about user's circumstances and phone usage from sensors and infer his/her current state which is the significant basis for context-aware services. However, a service system should be founded on a context model to ensure reasonable context-awareness, because context information the system needs depends on its target services. Therefore, in this paper, we propose a hierarchical mobile context model for context inference of smart phone users in their daily life. We classify high-level context which can be draw from sensing data into three levels, Context-Behavior-Situation, and define inference methods for each level. With our mobile context model, we can user's meaningful context in his/her daily life besides simple actions or states.

• KIPS Transactions on Computer and Communication Systems
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• v.1 no.1
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• pp.11-20
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• 2012

Stream data shows a sequence of values changing continuously over time. Due to the nature of stream data, its trend is continuously changing according to various time intervals. Therefore the prediction of stream data must be carried out simultaneously with respect to multiple intervals, i.e. Continuous Multiple Prediction(CMP). In this paper, we propose a Continuous Integrated Hierarchical Temporal Memory (CIHTM) network for CMP based on the Hierarchical Temporal Memory (HTM) model which is a neocortex leraning algorithm. To develop the CIHTM network, we created three kinds of new modules: Shift Vector Senor, Spatio-Temporal Classifier and Multiple Integrator. And also we developed learning and inferencing algorithm of CIHTM network.

• Journal of the Korea Society for Simulation
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• v.17 no.2
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• pp.31-47
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• 2008

As OWL(Web Ontology Language) has been selected as a standard ontology description language by W3C, many ontologies have been building and developing in OWL. The lena developed by HP as an Application Programming Interface(API) provides various APIs to develop inference engines as well as storages, and it is widely used for system development. However, the storage model of Jena2 stores most owl documents not acceptable into a single table and it shows low processing performance for a large ontology data set. Most of all, Jena2 storage model does not consider hierarchical structures of classes and properties. In addition, it shows low query processing performance using the hierarchical structure because of many join operations. To solve these issues, this paper proposes an OWL ontology relational database model. The proposed model semantically classifies and stores information such as classes, properties, and instances. It improves the query processing performance by managing hierarchical information in a separate table. This paper also describes the implementation and evaluation results. This paper also shows the experiment and evaluation result and the comparative analysis on both results. The experiment and evaluation show our proposal provides a prominent performance as against Jena2.

• Annual Conference on Human and Language Technology
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• 2012.10a
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• pp.12-15
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• 2012

본 논문은 한국어 형태소 분할 및 품사 태깅을 위해 조건부 랜덤 필드 (CRF: conditional random field)에 기반한 방식을 제안한다. 제안 방법은 1) 형태소 분할 단계 2) 품사 태깅 단계 3) 복합형태소 분할 및 태깅 단계의 세 단계로 이루어진다. 처음 두 단계는 CRF방법에 기반을 두고, 세 번째 단계에서는 일반화된 HMM (lattice-HMM)을 활용한다. 제안 방법은 세종 말뭉치 코퍼스에서 5-fold cross-validation로 평가한 결과, 약 96%의 품사 태깅 성능을 보여주었다.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.395-401
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• 2014

As social network service becomes common, the consumers use many discount coupons with which they can purchase goods via social commerce. Although, the quantities of coupons offered from social commerce are currently on the sharp increase, customized coupon service that reflects user preference is not offered. This paper proposes a coupon service method reflecting user's subjective inclination targeting food coupons to offer customized coupon service for social commerce. Towards this end, this paper conducts hierarchization of the factors that become standard in selecting coupons including food types, food prices, discount rates and the number of buyers. And then, this study classifies, extracts and offers the coupons using Fuzzy-AHP, a decision making support method that reflects subjective inclination. From the user satisfaction results on the extracted coupons, the users are generally satisfied: very satisfactory with 45%, satisfactory with 33% and fair with 22%, and there was no experiment participant, who was dissatisfied.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.196-198
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• 2002

웹 상에서 다양한 데이터를 표현하고 정보교환을 위한 수단으로 등장하는 XML문서가 급속도로 증가하고 데이터베이스를 이용한 XML 문서 저장기법에 대한 많은 연구가 현재 진행되고 있다. XML 문서의 구조 정보를 활용하기 위해서는 기존의 문서와는 다른 계층적인 트리 방식으로 처리되어야한다. 본 논문에서는 관계형 데이터베이스에 XML문서를 저장할 때 XML이 지니는 구조정보를 효과적으로 데이터베이스에 표현할 수 있도록 스키마를 생성하는 사상 기법을 제안한다. XML 문서를 엘리먼트 타입에 따라 분류하여 효과적으로 스키마를 생성하고, XML문서의 구조를 나타내기 위해 레코드(record)단위로 ID를 생성한다. 또한 멀티미디어 데이터와 같은 동적인 데이터를 포함하고 있는 XML문서를 효율적으로 저장할 수 있고 빠른 검색이 가능하도록 스키마를 설계한다.

• Journal of KIISE:Software and Applications
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• v.41 no.7
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• pp.481-491
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• 2014

The power production using renewable energy is more important because of a limited amount of fossil fuel and the problem of global warming. A concentrative photovoltaic system comes into the spotlight with high energy production, since the rate of power production using solar energy is proliferated. These systems, however, need to sophisticated tracking methods to give the high power production. In this paper, we propose a hierarchical tracking system using modular Bayesian networks and a naive Bayes classifier. The Bayesian networks can respond flexibly in uncertain situations and can be designed by domain knowledge even when the data are not enough. Bayesian network modules infer the weather states which are classified into nine classes. Then, naive Bayes classifier selects the most effective method considering inferred weather states and the system makes a decision using the rules. We collected real weather data for the experiments and the average accuracy of the proposed method is 93.9%. In addition, comparing the photovoltaic efficiency with the pinhole camera system results in improved performance of about 16.58%.