• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.107-116
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• 2009

Overcrowding in an Emergency Department (ED) of hospital is a common phenomenon. To improve the service quality and system performance of the ED, a task assignment rule for the Registered Nurses (RNs) is proposed in this paper. At each task assignment point, the rule prioritizes all treatment requests based on the urgency which is determined by the multiple attributes such as accomplishment time of treatment task, elapsed time of treatment request, total remain time to patient discharge, and number of remain treatments. The values of partial urgency with a single criterion are determined and then overall urgency is computed to find the most urgent one among current requests with the importance weights assigned to the criteria. Through computer simulation, the performance of the proposed rule is compared with current rule in terms of the length of stay and system throughput in a simplified ED system of the hospital M.

• The Journal of the Korea Contents Association
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• v.7 no.10
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• pp.19-26
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• 2007

Since collaborative filtering has used the nearest-neighborhood method based on item preference it cannot only reflect exact contents but also has the problem of sparsity and scalability. The item-based collaborative filtering has been practically used improve these problems. However it still does not reflect attributes of the item. In this paper, we propose the method of associative group using the FP-Tree to solve the problem of existing recommendation system. The proposed makes frequent item and creates association rule by using FP-Tree without occurrence of candidate set. We made the efficient item group using $\alpha-cut$ according to the confidence of the association rule. To estimate the performance, the suggested method is compared with Gibbs Sampling, Expectation Maximization, and K-means in the MovieLens dataset.

• The KIPS Transactions:PartB
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• v.18B no.6
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• pp.405-414
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• 2011

Korean grammar checkers typically detect context-dependent errors by employing heuristic rules that are manually formulated by a language expert. These rules are appended each time a new error pattern is detected. However, such grammar checkers are not consistent. In order to resolve this shortcoming, we propose new method for generalizing error decision rules to detect the above errors. For this purpose, we use an existing thesaurus KorLex, which is the Korean version of Princeton WordNet. KorLex has hierarchical word senses for nouns, but does not contain any information about the relationships between cases in a sentence. Through the Tree Cut Model and the MDL(minimum description length) model based on information theory, we extract noun classes from KorLex and generalize error decision rules from these noun classes. In order to verify the accuracy of the new method in an experiment, we extracted nouns used as an object of the four predicates usually confused from a large corpus, and subsequently extracted noun classes from these nouns. We found that the number of error decision rules generalized from these noun classes has decreased to about 64.8%. In conclusion, the precision of our grammar checker exceeds that of conventional ones by 6.2%.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.1
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• pp.19-26
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• 2023

Because of the development of computational resources, an entire structure in which many components are combined can be analyzed. To do so, the calculation time and number of data points are increased. In many practical industry structures, there are many parts with repeated patterns. To analyze the repetitive structures effectively, a homogenization method is usually employed. In a homogenization module, including commercial programs, it is generally assumed that a unit cell is repeated in all directions. However, the practical industry structures usually have complicated, repeated patterns or structures. Complicated patterns are difficult to address using the conventional homogenization method. Therefore, in this study, a multilevel homogenization method was devised to consider complex regularities. The proposed homogenization method divides the structure into several areas and performs multiple homogenizations, resulting in a more accurate analysis than that provided by the previous method.

• Science of Emotion and Sensibility
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• v.1 no.1
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• pp.59-67
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• 1998

뇌전위에서 개인차가 없는 일반적인 규칙ㅇ르 지닌 두개의 정보 변수, 즉 ILF와 IHF를 발견하였다. 이러한 일반성을 지닌 정보 변수가 청각, 후각, 촉각 자극에 의해 유발된 쾌하거나 불쾌한 감성 상태를 구분할 수 있으며 전두엽에서 그 경향이 두드러짐을 확인하였다. 전두엽의 뇌전위에서 감성 자극이 주어지가 전과 자극이 주어지는 동안의 ILF, IHF값을 정규화함으로써 새로운 변수, Relative Quantified Emotional State(RQES)를 구현하였다. RQES는 쾌, 중립, 불쾌한 감성의 정도를 선형적으로 정량화하였다. 따라서 하나의 전극으로 측정한 전두엽부분의 뇌전위로부터 RQES값을 계산하면 인간의 쾌, 불쾌 감성을 신뢰도있게 정량화 할 수 있다.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.267-270
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• 2004

본 논문에서는 다양한 크기를 갖는 얼굴 영상들을 대상으로 얼굴 영역을 추출하고 추출된 얼굴 영역을 기준으로 증명 사진의 규격에 맞게 영상을 정규화하는 방법을 제안한다. 얼굴 영역의 추출을 위해서 본 논문에서는 피부색 확장을 통하여 얼굴 후보 영역을 추출하고. 얼굴 기관의 위치 정보와 얼굴 모양에 대한 통계치를 사용하여 최종 얼굴 영역을 결정한다 추출된 얼굴 영역과 배경 영역의 크기에 대한 비례 관계는 증명사진에 대한 통계조사에 의해 산출된 규칙을 적용하여 정규화한다. 제안된 방법은 다양한 배경을 갖는 130개 영상을 대상으로 실험하여 타당성을 확인하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.636-639
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• 2004

본 논문은 웹 도큐먼트를 기반으로 사용자에게 의미 있는 정보를 찾아주기 위한 연관 객체 추출 기법인 PMPL(Personalized Multi-Strategey Pattern Loaming) 시스템을 제안하고자 한다. PMPL 모듈은 인터넷의 정보를 여과하여 필터링하고, 사용자 개인화의 키워드를 중심으로 연관된 객체를 추출한다. 이때 연관된 객체 추출 시 대용량 데이터에서 시간적, 공간적면에서 효율적인 연관 탐색 기법인 Fp-Tree와 Fp-Growth 알고리즘을 적용시켰으며, 연관규칙 탐색을 보완하기 위해 가중치 기법인 만유인력 기법을 적용시켰다. PMPL 시스템을 실행한 결과 개인화된 사용자 중심어 기초로 기존의 단일 학습 기법에 비해 더 많은 의미 있는 연관 지식을 추출한 결과가 보였다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.28 no.4
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• pp.177-190
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• 2016

In case of the seabed around and under gravity structures such as submerged breakwater is exposed to a large wave action long period, the excess pore pressure will be generated significantly due to pore volume change associated with rearrangement soil grains. This effect will lead a seabed liquefaction around and under structures as a result from decrease in the effective stress. Under the seabed liquefaction occurred and developed, the possibility of structure failure will be increased eventually. Lee et al.(2016) studied for regular waves, and this study considered for irregular waves with the same numerical analysis method used for regular waves. Under the condition of the irregular wave field, the time and spatial series of the deformation of submerged breakwater, the pore water pressure (oscillatory and residual components) and pore water pressure ratio in the seabed were estimated and their results were compared with those of the regular wave field to evaluate the liquefaction potential on the seabed quantitatively. Although present results are based on a limited number of numerical simulations, one of the study's most important findings is that a more safe design can be obtainable when analyzing case with a regular wave condition corresponding to a significant wave of irregular wave.

• School Mathematics
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• v.9 no.2
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• pp.313-326
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• 2007

Recently in algebra curriculum, to recognizes and explains general nile expressing patterns is presented as the one alternative and is emphasized. In the seventh School Mathematic Curriculum regarding 'regularity and function' area, in elementary school curriculum, is guiding pattern activity of various form. But difficulty and problem of students are pointing in study for learning through pattern activity. In this article, emphasizes generalization process through research activity of pictorial/geometric pattern that is introduced much on elementary school mathematic curriculum and investigates various approach and strategy of student's thinking, state of symbolization in generalization process of pictorial/geometric pattern. And discusses generalization of pictorial/geometric pattern, difficulty of symbolization and suggested several proposals for research activity of pictorial/geometric pattern.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1276-1279
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• 2015

물리적으로 연속된 도로에 하나의 위치를 특징 짖고, 특정화한 위치의 개별성을 보장받아 규칙적으로 주소를 부여하면 특정위치는 물론 주변위치도 추측 가능해진다. 그동안 도시화와 산업화로 인하여 도로의 입체화, 다각화, 고기능화가 진행하는 가운데, 도로관리제도는 광역에 걸친 다수의 기관들이 전문 분야와 공종별로 분할하고 있는 복잡한 모습을 하고 있다. 이는 시간이 지날수록 자유로운 의사소통과 기술공유, 집약된 의사결정 등을 어렵게 하고 다양한 문제를 드러내고 있어 더 이상 기존의 제도와 방식은 적합하지 않게 되었다. 따라서 본 연구는 도로관리상 최대 맹점이라 할 수 있는 도로상의 개별위치에 대한 정의 없이 경험에 의존하는 관리방식에서 탈피하여, 도로가 위치하고 있는 지번주소, 도로명 주소, 국가도로망체계 등의 도로주소정보를 코드화하여 이를 도로상에 규칙적으로 부여하는 방안을 제시하였다. 또한, 본 논문의 목적은 정보시대의 도로관리에 적합하도록 도로를 식별하고자 정의한 도로주소코드를 통해서 디지털 모델링에 적합한 표준화방안을 제시하는데 있다.