• 한국통신학회논문지
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• 제21권11호
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• pp.2739-2749
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• 1996

This aper introduces the multiple Neocognitron module approach for the effective target reognition. The Neocognitron which is designed to classify a pattern by extracting the local features from it, seems to be an unique method that can perform a pattern recognition using the neural networks. But due to its rigid structure, the Neocognitron must be reconstructed whenever there exists a variation on the number of classes. This is a quite difficult problem for the target recognition application that needs huge amount of computation and numerous classes to be classified. In this paper, we construct several smaller Necognitrom modules and train each module to adapt each class. After construction of the mulules, we integrate them in parallel so as to adaopt input at the same time and to produce each score that shold be matched to be learned class. This approach can reduce the sizes of the networks and is adaptive to the increase of classes as well as the authentic distortion, shift, scale variation and slight rotation invariant properties of general Neocognitron. This paper show the effectiveness of the proposed approach through some experience and performs analysis of the inhibitory interconnections in the architecture of the multiple module structure.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제6권1호
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• pp.81-96
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• 2002

This article describes a research project that examined the impact of hand-held technology on students' understanding linear equations and graphs in multiple representations. The results indicated that students in the graphing-approach classes were significantly better at the components of interpreting. No significant differences between the graphing-approach and traditional classes were found fur translation, modeling, and algebraic skills. Further, students in the graphing-approach classes showed significant improvements in their attitudes toward mathematics and technology, were less anxious about mathematics, and rated their class as more interesting and valuable.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.6-10
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• 2007

Classification of hyperspectral images is challenging. A very high dimensional input space requires an exponentially large amount of data to adequately and reliably represent the classes in that space. In other words in order to obtain statistically reliable classification results, the number of necessary training samples increases exponentially as the number of spectral bands increases. However, in many situations, acquisition of the large number of training samples for these high-dimensional datasets may not be so easy. This problem can be overcome by using multiple classifiers. In this paper we compared the effectiveness of two approaches for creating multiple classifiers, feature selection and feature extraction. The methods are based on generating multiple feature subsets by running feature selection or feature extraction algorithm several times, each time for discrimination of one of the classes from the rest. A maximum likelihood classifier is applied on each of the obtained feature subsets and finally a combination scheme was used to combine the outputs of individual classifiers. Experimental results show the effectiveness of feature extraction algorithm for generating multiple classifiers.

• 한국가정과교육학회지
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• 제10권2호
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• pp.1-11
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• 1998

The purpose of this study is to analyze highschool girls' concerns about environmental problems after investigating the actual state of environmental education and to suggest some fundamental changes in the Home Economics classes to improve environmental education. The sample was selected form high school girl students in Kyounggi Province between September 16 and September 26, 1996. Eight hundred twenty (820) first and second grade respondents were used. The data were analyzed by frequency, mean, percentile, factor analysis. Duncan's Multiple Range Test, and Stepwise Multiple Regression. Based on the major findings, the most influential variable was parental attitudes towards environmental conservation and problem. Next in influence was the environmental education provided in Home Economics classes. Also important were the individual student's interest in Home Economics classes, and her belief in the utility of environmental conservation in everyday life. The research conclusions are as follows: 1. We'll find how to relate efficiently the environmental education with everyday life by analyzing thoroughly the text of home economics. 2. We'll develop how to educate students parents properly because parental attitudes to wards the environmental problem have a great effect on students' behaviors. 3. We'll ceinforce environmental education by developing problems, and to motivate them to take real action in the area of environmental conservation.

• 교육시설
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• 제12권5호
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• pp.13-24
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• 2005

This study is the second that aims at offering the basic information on the appropriate spatial organization of the special classes by looking at the relationship between a group of learning activities and a group of playing activities in Elementary and Middle Schools The learning space unit of the special classes should be more flexible for the various learning activities and be prepared in order to correspond to the needs of a territory for different learning appeared according to the degree of handicap, learning ability and the contents of learning. This study dealt with the learning space unit to tackle the problems of special classes. In fact, it is unwise to offer so many different kinds of learning spaces in every school. Due to the manifold and multiple characteristics of handicap, the problem of special classes should be approached by the overall educational system of special educational facilities rather than by a special classes space alone. In this respect, it can be said that this problem should be tackled by reorganization of the special classes in the community through specialization and network system of special class facilities in order to make more effective educational environment.

• 디지털산업정보학회논문지
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• 제7권4호
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• pp.89-99
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• 2011

Digital edutainment games and educational content to the concept of combining learning and to draw conclusions that can be varied and fun learning program. Yet effective design. There's a lot of discussion about the systematic and scientific research, explore the difficult, but so is the growing field of endless possibility. Merely a linguistic capabilities of human intelligence and mathematical ability were measured primarily on issues raised in the traditional intelligence tests, and emerged a variety of multiple intelligences theory of human intelligence classified into 8 types and characteristics of each intelligence activities and guidelines for faculty are presented. These lessons are based on multiple intelligences theory professor activities through the design study for students to form learning activities to meet effectively and systematically conducted classes, and student-specific classes can be designed. In this study, multiple intelligences theory, based on children's edutainment content by linguistic intelligence, and intrapersonal intelligence body-kinestic intelligent and can learn by linking to content that was designed. Children interested in animation and gaming content through the feeling that you can become stiff in Korean alphabet education to solve the quests were designed to be a natural puleonagal.

• 한국터널지하공간학회 논문집
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• 제6권2호
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• pp.101-111
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• 2004

터널의 안정성 확보 및 최적설계를 위해서, 충분한 지반조사 데이터를 확보하는 것이 가장 중요하나, 공간상에 분포하는 자료측정의 제한성 및 경제적인 이유로 그렇게 하지 못하는 것이 현실이다. 특히, 터널은 민원 및 산악지형 등의 이유로 노선의 본선부에서 시추가 불가능한 구간이 발생하고, 각종 물리탐사 자료만으로는 정량적인 암반등급 산정이 어렵다. 따라서, 본 연구에서는 이러한 문제점을 극복하기 위하여 본선에서 이격된 물리탐사 자료 및 시추데이터를 최대한 활용해 지구통계학 기법의 하나인 2차원 다분적 지시크리깅을 확장한 3차원 다분적 지시크리깅 (3D multiple indicator kriging, 3D-MI kriging)기법을 제안하였다. 또한 제안된 3차원 다분적 지시크리깅기법을 경부고속철도 제 ${\bigcirc}-{\bigcirc}$공구 터널설계 시 RMR분류에 의한 암반등급 산정을 위해 적용하였다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1993년도 춘계공동학술대회 발표논문 및 초록집; 계명대학교, 대구; 30 Apr.-1 May 1993
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• pp.230-230
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• 1993

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.267-270
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• 1999

Use of coherence data from operational satellite based SAR sensors has been experimented both on C and L band to identify landcover in tropics. While coherence data proved useful to improve accuracy in landcover identification, such data are not readily available. On the other hand, integrated use of backcatter data by multiple satellites is readily feasible. The very question to be asked is whether integration of backscatter data on multiple bands (e.g. C and L band) is either inferior or superior to use of coherence data. We therefore still do not have a solid clue to answer to the very question. The aim of this study is to evaluate the performance of "integrated use" of backscatter data on C and L band (by ERS and JERS respectively) to identify landcover, vis-a-vis the same by combination of backscatter and coherence data by single satellite. The study was carried out for an area in the southern part of the Sumatra Island, Indonesia. The area has been intensively converted from natural forest into plantation. Five categories of landcover exist in this study area. By ERS-1, only 2 or 3 classes may be identified with the backscatter data alone, while adding the coherence data could delineate 4 classes. By JERS-1, only 3 to 4 classes may be identified with the backscatter data alone, while 4 classes could be clearly delineated by adding the coherence data. By integrating backscatter data on two bands, 4 to 5 classes may be identified. It represents the best results among cases examined. The outcome of the study suggests that integrated use of backscatter data on two bands by ERS and JERS is as powerful as use of backscatter and coherence data on single band by one of these satellite.

• 산업융합연구
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• 제20권9호
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• pp.81-89
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• 2022

본 연구는 코로나19(COVID-19)로 인한 온라인 전공 수업이 학업스트레스, 학습 만족도, 학습몰입에 미치는 영향을 파악하고자 시행되었다. 자료 수집은 보건계열 전공자 129명으로 2020년 11월 15일부터 2020년 12월 22일까지 설문지를 통해 수집되었다. 자료의 분석은 기술통계, t-test, ANOVA, Pearson's 상관관계 분석, 다중회귀분석을 이용하였다. 연구 결과 학업스트레스는 학습만족도(r=.-78, p<.001), 학습몰입(r=.-70, p<.001) 간에 음의 상관관계를, 학습만족도는 학습몰입(r=.71, p<.001)과 양의 상관관계를 나타냈다. 또한 온라인 수업 시 과제 분량, 지난 학기에 이수한 온라인 실습 교과목의 수. 학업스트레스와 학습만족도는 학습몰입에 유의한 영향을 미치는 것으로 나타났으며, 이들 변수의 전체 설명력은 61.0%로 나타났다. 따라서 온라인 수업에서 학습몰입을 높이기 위해서는 학업스트레스를 낮추기 위한 전략과 다양한 교육 프로그램 개발이 필요하다.