• 인지과학
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• 제15권3호
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• pp.15-24
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• 2004

추적 눈 운동 동안에 순간적으로 노출되는 표적의 위치는 표적 주위에 참조자극이 존재하지 않을 때에 일반적으로 눈 운동 방향으로 왜곡되어 지각된다. 본 연구는 안정적이고 정적인 참조자극이 존재하는 경우에 순간적으로 노출되는 표적의 참조자극에 대한 상대적인 위치가 얼마나 정확하게 지각되는지를 검증하였다. 참조자극에 대한 표적의 상대적인 위치가 왜곡되게 지각되었으며 상대적인 위치 지각 왜곡의 양상이 참조자극과 표적의 상대적인 위치에 따라서 체계적으로 변화하였다. 동일한 실험결과가 추적 눈 운동의 방향이 상이하거나 참조자극과 표적의 다양한 물리적인 거리 조건에서도 일관되게 관찰되었다. 본 연구의 실험결과가 위치지각에 관하여 제안된 기존의 이론에 의해 어떻게 설명될 수 있는지를 논의하였다.

• 한국음향학회지
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• 제28권2호
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• pp.135-140
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• 2009

본 논문에서는 하이라이트 모델에 기반하여 능동소나의 표적신호를 합성하고, 합성된 신호를 이용하여 표적인식 실험을 수행하였다. 동일 표적이라도 표적의 자세각에 따라 다양한 형태의 파형을 갖는 신호가 합성되는데, 이에 대한 표적인식 결과를 알아보기 위해서 두 가지 방법으로 실험을 수행하였다. 하나는 고정된 여러 가지 자세각에 대한 표적신호에 대한 인식실험이고, 다른 하나는 임의의 자세각을 가지는 교신에 대만 인식 실험을 수행하였다. 인식실험을 위한 특징 인자로는 합성된 표적신호에 대해 시간영역에서 정합필터 및 포락선 검출을 통해 얻어지는 하이라이트 패턴을 사용하였으며, 패턴인식 기법으로는 다중클래스 SVM과 인공신경망을 사용하였다.

• PNF and Movement
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• 제14권3호
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• pp.195-202
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• 2016

Purpose: This study investigates the influence of applying proprioceptive neuromuscular facilitation (PNF) leg patterns on the activation of three types of mesogluteal fibers at the opposite side. Methods: The target subjects of this study were 19 healthy men who voluntarily agreed to participate in the program. For all subjects, the following four PNF leg patterns were applied while they were in a standing position, and then, the activation of the gluteus medius at the opposite side was measured: (1) flexion abduction internal rotation pattern, (2) flexion adduction external rotation pattern, (3) extension abduction internal rotation pattern, and (4) extension adduction external rotation pattern. In each position, a pattern was executed three times in 5 s, and the average of each measurement was used for the statistics. Results: Among the PNF leg patterns, the activation of the mesogluteal fibers at the opposite side was most significant under the application of the extension abduction internal rotation pattern. The activation of the back muscular fiber was significantly high under the application of the flexion abduction internal rotation pattern. Conclusion: Selective application of PNF leg patterns can improve the functional activity of each mesogluteal fiber.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.377-380
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• 1999

This paper proposed a method to detect and locate coding errors in HDL behavioral descriptions (designs). The target coding errors are the ones that the compiler cannot find out. As the method, this paper used verification pattern generation method. Thus, an algorithm to generate the verification patterns was proposed, in which the pattern generation is performed by a path- searching method. Various example designs were applied to this algorithm to verify the correctness and effectiveness of the proposed method.

• 대한전기학회논문지:전력기술부문A
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• 제53권11호
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• pp.596-603
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• 2004

This paper proposes an expert system based on the pattern recognition method which can enhance the accuracy and effectiveness of real-time bus reconfiguration strategy for the transfer of faulted load when a main transformer fault occurs in the automated substation. The minimum distance classification method is adopted as the pattern recognition method of expert system. The training pattern set is designed MTr by MTr to minimize the searching time for target load pattern which is similar to the real-time load pattern. But the control pattern set, which is required to determine the corresponding bus reconfiguration strategy to these trained load pattern set is designed as one table by considering the efficiency of knowledge base design because its size is small. The training load pattern generator based on load level and the training load pattern generator based on load profile are designed, which are can reduce the size of each training pattern set from max L/sup (m+f)/ to the size of effective level. Here, L is the number of load level, m and f are the number of main transformers and the number of feeders. The one reduces the number of trained load pattern by setting the sawmiller patterns to a same pattern, the other reduces by considering only load pattern while the given period. And control pattern generator based on exhaustive search method with breadth-limit is designed, which generates the corresponding bus reconfiguration strategy to these trained load pattern set. The inference engine of the expert system and the substation database and knowledge base is implemented in MFC function of Visual C++ Finally, the performance and effectiveness of the proposed expert system is verified by comparing the best-first search solution and pattern recognition solution based on diversity event simulations for typical distribution substation.

• 보건행정학회지
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• 제16권2호
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• pp.49-76
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• 2006

The aim of this study was to explore the effects of a computerized review program which was introduced in August 1, 2003, using claims data for acute respiratory infection related diseases. National Health Insurance (NHI) claims data on respiratory infection related diseases before and after the introduction, with six month intervals respectively, were used for the analysis. Clinic was the unit of observation, and clinics with only one physician whose specialty was internal medicine, pediatrics, otorhinolaryngology and family medicine and clinics with a general practitioner were selected. The final sample had 7,637 clinics in total. Indices used to measure practice pattern was prescription rates of antibiotics, prescription rates of injection drug per visit, treatment costs per claim, and total costs per claim. Changes in the number of claims for major disease categories and upcoding index for disease categories were used to measure claiming behavior. Data were analysed using descriptive analysis, t-test for indices changes before and after the introduction, analysis of variance (ANOVA) for practice pattern change for major disease categories, and multiple regression analysis to identify whether new system influenced on provider' practice patterns or not. Prescription of antibiotics, prescription rates of injection drug, treatment costs per claim, and total costs per claim decreased significantly. Results from multiple regression analysis showed that a computerized review system had effects on all the indices measuring behavior. Introduction of the new system had the spillover effects on the provider's behavior in the related disease categories in addition to the effects in the target diseases, but the magnitude of the effects were bigger among the target diseases. Rates of claims for computerized review over total claims for respiratory diseases significantly decreased after the introduction of a computerized review system and rates of claims for non target diseases increased, which was also statistically significant. Distribution of the number of claims by disease categories after the introduction of a computerized review system changed so as to increase the costs per claims. Analysis of upcoding index showed index for 'other acute lower respiratory infection (J20-22)', which was included in the review target, decreased and 'otitis media (H65, H66)', which was not included in the review target, increase. Factors affecting provider's practice patterns should be taken into consideration when policies on claims review method and behavior changes. It is critical to include strategies to decrease the variations among providers.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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• pp.157-165
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• 2002

This paper describes our ongoing Korean-Chinese machine translation system, which is based on verb patterns. A verb pattern consists of a source language pattern part for analysis and a target language pattern part for generation. Knowledge description on lexical level makes it easy to achieve accurate analyses and natural, correct generation. These features are very important and effective in machine translation between languages with quite different linguistic structures including Korean and Chinese. We performed a preliminary evaluation of our current system and reported the result in the paper.

• 한국경영과학회지
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• 제30권4호
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• pp.27-43
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• 2005

This paper presents a new hybrid data mining technique using error pattern modeling to improve classification accuracy when the data type of a target variable is binary. The proposed method increases prediction accuracy by combining two different supervised learning methods. That is, the algorithm extracts a subset of training cases that are predicted inconsistently by both methods, and models error patterns from the cases. Based on the error pattern model, the Predictions of two different methods are merged to generate final prediction. The proposed method has been tested using practical 10 data sets. The analysis results show that the performance of proposed method is superior to the existing methods such as artificial neural networks and decision tree induction.

• 말소리와 음성과학
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• 제6권4호
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• pp.117-123
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• 2014

This study investigated the intonation patterns of accentual phrase in Jeju dialect. 9 speakers (Experiment 1) and 6 speakers (Experiment 2) read a carrier sentence '__ youngah miwonghumnida' with a target accentual phrase varying its number of syllables from 1 to 8. The results showed that like Seoul dialect pattern could be the basic pattern of accentual phase in Jeju dialect even though several differences were observed in the realization of each tone: Flat staircase-like tones in L, M, and even in H were often observed, and a very small difference in F0 between intial L and +H was found in many speakers. For some of these differences, this paper tried to give an explanation still in the Intonational Phonology framework. However, introducing M tone as a lexical tone was also suggested as one possible solution. Finally, unlike Seoul dialect, most speakers showed pattern in an accentual phrase beginning with a strong consonant, i.e., aspirated and unaspirated obstruents including /h/ and /s/.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2002년도 추계종합학술대회
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• pp.296-300
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• 2002

본 연구에서 는 비지도 학습 방식인 SOFM(Self Organize Feature Maps)과 지도 학습인 다층 신경회로망을 이용하여 패턴 분류를 하는 방식을 제안하였다. SOFM을 이용하여 입력 패턴을 분류하여 얻은 결과를 다층 신경회로망의 초기 연결강도와 목표 값으로 설정한다. 제안한 방식의 유용성을 확인하기 위하여 얼굴 영상에 대하여 시뮬레이션한 결과 우수한 성능을 얻었다.