• Title/Summary/Keyword: pattern generalization

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Generalization of error decision rules in a grammar checker using Korean WordNet, KorLex (명사 어휘의미망을 활용한 문법 검사기의 문맥 오류 결정 규칙 일반화)

  • So, Gil-Ja;Lee, Seung-Hee;Kwon, Hyuk-Chul
    • 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%.

An Analysis on Teaching Methods of Patterns in Elementary Mathematics Textbooks (초등학교 수학 교과서에 제시된 패턴 지도방안에 대한 분석)

  • Pang, JeongSuk;Sunwoo, Jin
    • Education of Primary School Mathematics
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    • v.19 no.1
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    • pp.1-18
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    • 2016
  • Patterns are of great significance to develop algebraic thinking of elementary students. This study analyzed teaching methods of patterns in current elementary mathematics textbook series in terms of three main activities related to pattern generalization (i.e., analyzing the structure of patterns, investigating the relationship between two variables, and reasoning and representing the generalized rules). The results of this study showed that such activities to analyze the structure of patterns are not explicitly considered in the textbooks, whereas those to explore the relationship between two variables in a pattern are emphasized throughout all grade levels using function table. The activities to reason and represent the generalized rules of patterns are dealt in a way both for lower grade students to use informal representations and for upper grade students to employ formal representations with expressions or symbols. The results of this study also illustrated that patterns in the textbooks are treated rather as a separate strand than as something connected to other content strands. This paper closes with several implications to teach patterns in a way to foster early algebraic thinking of elementary school students.

Conceptualizing and Prospecting for Home Meal Replacement (HMR) in Korea by Delphi Technique (델파이 기법을 이용한 한국에서의 Home Meal Replacement (HMR) 개념 정립 및 국내 HMR 산업 전망 예측)

  • Lee Hae-Young;Chung Lana;Yang Ilsun
    • Journal of Nutrition and Health
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    • v.38 no.3
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    • pp.251-258
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    • 2005
  • The purposes of this study were to conceptualize the Home Meal Replacement (HMR) in Korea and to gather professionals' opinions of prospect and task for HMR industry in Korea. A total of 67 experts participated in a three round survey by Delphi technique, which was used to integrate and share the each expert's professional idea. According to the result, HMR was translated into 'Gajeongsiksa daeyongsik' in Korean and given definition to 'a meal taken directly or through brief cooking process at home by purchasing ready to eat or ready to end-cook type of food'. As the result of categorizing HMR products of Korean food, 'I. Ready to eat' such as side dishes, kimchi, salad, sandwich, kimbab, and so on and 'II. Ready to heat' such as rice, porridge, retort food (soup, broth, curry, spaghetti, etc.), frozen pizza, grilled food, jabchae, instant soup, and so on were construed in a limited sense of the HMR. In addition, 'III. Ready to end-cook' such as frozen dumpling, frozen pork cutlet, seasoned meat, powder-type soup, and so on as well as these two kinds were interpreted in a broad sense of the HMR. In the prospect of HMR industry in Korea, the Korean HMR industry would develop continuously accompanied by increasing of consumers using HMR products. Introduction and generalization of HMRs would serve the convenience for meal preparation and then influence the change of home meal pattern. Nevertheless, it was concerned about that using HMRs might have limitation on solving the problems of dietary life including irregular meal, skipping a meal, and so on and influence the nutrition imbalance. For the development of HMRs, developing various menu and the packaging materials for HMR products, constructing the thorough sanitary management, and strengthening R & D for the HMR of Korean food were the future tasks in Korean HMR industry.

Optimal Perturbation of Null Points Inherent to Riccati Solution and Control of Coupling in Nonuniform Coupled-Lines (불균일 결합선로에서 Riccati 해에 내재된 Null점의 최적 섭동과 결합도 제어)

  • Park, Eui-Joon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.38 no.3
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    • pp.35-43
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    • 2001
  • A method is newly presented to synthesize the modal impedances satisfying the desired coupling factor of a reflective (or hack ward) coupled-line. The synthesis is achieved by optimal perturbations of repeating null points of lobes inherent to the solution of the first order nonlinear differential equation for coupling. It is based on the synthesis method of nonlinear source distribution functions for the prescribed space factor pattern in the one-dimensional array antenna. Here, the conventional synthesis method for the even distribution function is extended to the odd case. Resulting modal impedances will have continuously varying profiles. The design procedure of asymmetrical and symmetrical couplers corresponding to the even and odd distribution functions, is examplified to show the generalization and the simplicity of the proposed method.

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The Role of Images between Visual Thinking and Analytic Thinking (시각적 사고와 분석적 사고 사이에서 이미지의 역할)

  • Ko, Eun-Sung;Lee, Kyung-Hwa;Song, Sang-Hun
    • School Mathematics
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    • v.10 no.1
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    • pp.63-78
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    • 2008
  • This research studied the role of images between visual thinking and analytic thinking to contribute to the ongoing discussion of visual thinking and analytic thinking and images in mathematics education. In this study, we investigated the thinking processes of mathematically gifted students who solved tasks generalizing patterns and we analyzed how images affected problem solving. We found that the students constructed concrete images of each cases and dynamic images and pattern images from transforming the concrete images. In addition, we investigated how images were constructed and transformed and what were the roles of images between visual thinking and analytic thinking. The results showed that images were constructed, transformed, and sophisticated through interaction of visual thinking and analytic thinking. And we could identify that images played central roles in moving from visual thinking to analytic thinking and from analytic thinking to visual thinking.

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A Simple Connection Pruning Algorithm and its Application to Simulated Random Signal Classification (연결자 제거를 위한 간단한 알고리즘과 모의 랜덤 신호 분류에의 응용)

  • Won, Yong-Gwan;Min, Byeong-Ui
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.2
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    • pp.381-389
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    • 1996
  • A simple modification of the standard back-propagation algorithm to eliminate redundant connections(weights and biases) is described. It was motivated by speculations from the distribution of the magnitudes of the weights and the biases, analysis of the classification boundary, and the nonlinearity of the sigmoid function. After initial training, this algorithm eliminates all connections of which magnitude is below a threshold by setting them to zero. The algorithm then conducts retraining in which all weights and biases are adjusted to allow important ones to recover. In studies with Boolean functions, the algorithm reconstructed the theoretical minimum architecture and eliminated the connections which are not necessary to solve the functions. For simulated random signal classification problems, the algorithm produced the result which is consistent with the idea that easier problems require simpler networks and yield lower misclassification rates. Furthermore, in comparison, our algorithm produced better generalization than the standard algorithm by reducing over fitting and pattern memorization problems.

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A Study on the Effect of Customer Orientation in the Hospital Coordinator's role ambiguity and support situations (병원코디네이터의 역할모호성 및 지원상황이 고객지향성에 미치는 영향에 관한 연구)

  • Kim, Young-Hyuk
    • Korea Journal of Hospital Management
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    • v.18 no.3
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    • pp.1-26
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    • 2013
  • To improve the competitiveness of the hospital provides high quality medical services in a hospital coordinator role is emphasized. This study on customer orientation of the role ambiguity in order to identify the impact of degree of customer orientation were analyzed for demographic differences. Dependent variable, customer orientation affects role ambiguity as independent variables, and regression analysis were set. And the control variables are set to support situational factors, customer orientation on the role ambiguity and hierarchical regression analysis was performed. Obtained through empirical results are as follows: First, according to the demographic characteristics of the hospital coordinator customer orientation, the difference between gender and medical subjects are not shown. Age, education, work experience, job title, and the hospital on the pattern of customer orientation has shown a difference. Second, according to the hospital coordinator role ambiguity about its impact on customer orientation analysis can be a role implementation, job implementation, opinion communication in achieving customer orientation was negatively affected. Third, role ambiguity, and customer orientation factors for the moderating effects of organizational support for the role of customer orientation can role implementation, job implementation, opinion communication was a statistically significant. Fourth, the role ambiguity factors and customer orientation for the administrative support for the moderating effect of customer orientation and role implementation is significant, but job implementation, opinion communication were statistically significant. Fifth, the role ambiguity factors and customer support for customer orientation and customer orientation for the moderating effects of role performance and the opinion communication was not statistically significant. However, job implementation was statistically significant. The limitations of this study are as follows: First, role ambiguity, situational factors and support due to limitations of the variable factors that may affect the customer orientation of a number of factors were excluded. So many exogenous variables in the measurement process can affect. Second, the variables measured as problems of self-assessment by the variable measuring the respondent's bias may occur. Third, This study is difficult to generalize. In other words, several areas of the province conducted by the empirical results of the survey as a limit on the overall generalization can follow.

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A Mechanism to Determine Method Location among Classes using Neural Network (신경망을 이용한 클래스 간 메소드 위치 결정 메커니즘)

  • Jung, Young-A.;Park, Young-B.
    • The KIPS Transactions:PartB
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    • v.13B no.5 s.108
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    • pp.547-552
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    • 2006
  • There have been various cohesion measurements studied considering reference relation among attributes and methods in a class. Generally, these cohesion measurement are camed out in one class. If the range of reference relation considered are extended from one class to two classes, we could find out the reference relation between two classes. Tn this paper, we proposed a neural network to determine the method location. Neural network is effective to predict output value from input data not to be included in training and generalize after training input and output pattern repeatedly. Learning vector is generated with 30-dimensional input vector and one target binary values of method location in a constraint that there are two classes which have less than or equal to 5 attributes and methods The result of the proposed neural network is about 95% in cross-validation and 88% in testing.

Generalized Composite Estimators and Mean Squared Errors for l/G Rotation Design (l/G 교체표본디자인에서의 일반화복합추정량과 평균제곱오차에 관한 연구)

  • 김기환;박유성;남궁재은
    • The Korean Journal of Applied Statistics
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    • v.17 no.1
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    • pp.61-73
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    • 2004
  • Rotation sampling designs may be classified into two categories. The first type uses the same sample unit for the entire life of the survey. The second type uses the sample unit only for a fixed number of times. In both type of designs, the entire sample is partitioned into a finite number(=G) of rotation groups. This paper is generalization of the first type designs. Since the generalized design can be identified by only G rotation groups and recall level 1, we denote this rotation system as l/G rotation design. Under l/G rotation design, variance and mean squared error (MSE) of generalized composite estimator are derived, incorporating two type of biases and exponentially decaying correlation pattern. Compromising MSE's of some selected l/G designs, we investigate design efficiency, design gap effect, ans the effects of correlation and bias.

Solving Multi-class Problem using Support Vector Machines (Support Vector Machines을 이용한 다중 클래스 문제 해결)

  • Ko, Jae-Pil
    • Journal of KIISE:Software and Applications
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    • v.32 no.12
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    • pp.1260-1270
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    • 2005
  • Support Vector Machines (SVM) is well known for a representative learner as one of the kernel methods. SVM which is based on the statistical learning theory shows good generalization performance and has been applied to various pattern recognition problems. However, SVM is basically to deal with a two-class classification problem, so we cannot solve directly a multi-class problem with a binary SVM. One-Per-Class (OPC) and All-Pairs have been applied to solve the face recognition problem, which is one of the multi-class problems, with SVM. The two methods above are ones of the output coding methods, a general approach for solving multi-class problem with multiple binary classifiers, which decomposes a complex multi-class problem into a set of binary problems and then reconstructs the outputs of binary classifiers for each binary problem. In this paper, we introduce the output coding methods as an approach for extending binary SVM to multi-class SVM and propose new output coding schemes based on the Error-Correcting Output Codes (ECOC) which is a dominant theoretical foundation of the output coding methods. From the experiment on the face recognition, we give empirical results on the properties of output coding methods including our proposed ones.