• Title/Summary/Keyword: Figure Learning

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A Study on the Space Planning for Science High Schools (과학고등학교 공간계획에 관한 연구)

  • Jo, Han-Hee;Lee, Hwa-Ryong
    • Journal of the Korean Institute of Educational Facilities
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    • v.18 no.6
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    • pp.3-14
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    • 2011
  • This research aims at proposing the space planning and architectural guideline required in designing the Science High School. It investigates specific features of the science high school which are distinguished from the general high school and analyses the compositional figure of teachers and students, the teaching methods and its educational curriculum, especially the revised educational curriculum in 2009. Meanwhile, it explores the administrative systems and facilities of the existing science high schools through both the document survey and on-the-spot interview. Such endeavor results in proposing the space classification, the space composition methods and a classroom managing system, which would be suited to the science high school. Finally it presents the architectural guidelines for planning the special subject learning area that is composed of a special subject classroom, a specified lab, medial space, a project and research room and teacher's room. The result of this study could be the fundamental resources for programming the special purposed high school as well as the science high school building.

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A Comparative Analysis of Elementary Students' Content Understanding and Perceptions by Different Types of Informational Science Texts (정보적 과학 텍스트의 유형에 따른 초등학생들의 내용 이해도와 인식 비교)

  • Lim, Hee-Jun;Kim, Yeon-Sang
    • Journal of Korean Elementary Science Education
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    • v.29 no.4
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    • pp.526-537
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    • 2010
  • The purpose of this study was to compare the effects of two different types of texts, which were narrative and expository, on the understanding of content. Elementary students' perceptions of the two types of the texts were also investigated. In the comparison of the effects on the understanding of the text contents, test scores of mind-mapping, closed-answer question, and essay test were used. The analyses of mind-mapping tests showed narrative text was more effective to figure out main concepts of the text throughout the mind-mapping test. But expository text was more effective in the hierarchical organization of the concepts. In the closed-answer questions and essay test, narrative text was more effective than expository text. However when the contents of text were difficult and complex, there was no meaningful difference between the two types of texts. The analyses of students' perceptions of the texts showed that narrative texts were preferred. Students perceived that the narrative text was more interesting and familiar. However, the perceptions of helpful text for their science learning were not different by the types of texts.

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Analysis of Types of Explanation on Osmosis Concept in Chemistry and Biology Textbooks (화학과 생물 교과서에서 삼투 개념에 관한 설명 유형 분석)

  • Ko, Young-Hwan;Kang, Dae-Hun;Park, Dong-Joe;Kim, Dong-Uk;Paik, Seoung-Hey
    • Journal of The Korean Association For Science Education
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    • v.22 no.4
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    • pp.683-695
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    • 2002
  • In this study, we analyzed types of explanation on osmosis concept that were represented in chemistry and biology textbooks of high school and college. There were 5 types of explanation on osmosis concept. The types of explanation were diffusion of solvent, collision, hydration, equilibrium of concentration and screen of holes. Last two types of explanation were classified into misconceptions. The various types of explanation on osmosis concept might cause to have be a reason that students had many misconceptions and to feel difficult to learn about osmosis concept. Many of textbooks is accord to types of concept explanation and figure explanation on osmosis but some is not.

A Study on the Improvement of Division Skill of 5th and 6th Grade Children Needing Extra Class after School (초등학교 5$\cdot$6학년 특별 보충반 학생들의 나눗셈 연산능력 신장에 관한 연구)

  • Song Yeong Moo;Park Yoon Ja
    • The Mathematical Education
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    • v.44 no.2 s.109
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    • pp.265-280
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    • 2005
  • According to the characteristics of elementary school students in favor of playing games, and to their high energy levels and physical growth states, it is fair to say that students can learn mathematics through 'game playing activities.' These activities are considered to intrigue their interest in class and make them feel less stress from the burden of studying mathematics. Mr. Skemp, who had conducted research on 'game activity' with experimental studies relating to elementary mathematics, recommends that math teachers try to give as many activity-oriented classes as possible to students. The method of 'game activity' by Skemp's operation deals with the whole range of mathematical themes. It is believed by other math teachers that this is not a way to substitute free time or just to have fun in class, but an intentionally well-organized way of learning an entire mathematical course during elementary school. In this research, 5th and 6th grade students needing extra classes after school had been exposed to 'ame activity' by Skemp's operation. As a result, we can figure out its influence on their understanding of arithmetic ability, and on the cognitive definition territory in their minds.

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A Study on Sales Activity Method throughout Customer Relationship Management (고객관계관리를 통한 소상공인의 매출증대에 관한 연구)

  • Park, Jae-Yong
    • Management & Information Systems Review
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    • v.23
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    • pp.1-23
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    • 2007
  • Small and Medium Business Associate has supporting small and medium business and private business for establishment business and sales increasing with various policy since 2005. Arousing the interesting on customer relationship management, small and medium business and private business have recognized the necessity of the concept and introduction the CRM. This study suggested the effectiveness of the CRM throughout real cases of the CRM for small and medium business managers in order to rising sales in such an environment. The case of this study tried to figure it out to accomplish manager's ends of small and medium business to get successful business results based on innovative volition and mind trying to change. The owner who has experience 12 years in meat sales was analyzed the results of aptitude test that the business is highly appropriate to him in personality and aptitude. As also saw the strength and opportunity of SWOT analysis, he has an excellent talent for friendship, knowledge of searching Internet and organizing information, and learning ability. This study provided a marketing policy, ideas of customer services and system remodeling to improve relationship with customer, and a division diagnosis of business activities. The owner has an excellent friendship, so that this study suggest to remodel interior inside store clearly and sanitary displaying on products, to introduce aggressive and concentrated marketing strategies, and to recognize the important of public relation.

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Alternative Measures for Improvement of Information Literacy as Cross Curricula under the National Curriculum in Korea (국가 수준 교육과정에서 범 교육과정으로서의 정보 활용 능력 위상 강화 방안)

  • Song, Gi-Ho
    • Journal of Korean Library and Information Science Society
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    • v.42 no.2
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    • pp.29-50
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    • 2011
  • An aim of this study is to analyze status of information literacy and propose some ways strengthening its role as a cross-curriculum. Analyses show that information literacy is a basic competency of creative person composing the educational human figure under the national curriculum in Korea. In the school knowledge, its position is a procedural knowledge to create new ideas, also it is a interdisciplinary thinking skill under the instructional method. Therefore, information literacy instruction covering media and ICT literacy should exist as a main cross-curriculum to be a selective subject in the national curriculum. And finally, one of learning skills, its definition should be cleary stated such as information research and access, information analyses and interpretation, information synthesize and presentation.

Range Detection of Wa/Kwa Parallel Noun Phrase by Alignment method (정렬기법을 활용한 와/과 병렬명사구 범위 결정)

  • Choe, Yong-Seok;Sin, Ji-Ae;Choe, Gi-Seon;Kim, Gi-Tae;Lee, Sang-Tae
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2008.10a
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    • pp.90-93
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    • 2008
  • In natural language, it is common that repetitive constituents in an expression are to be left out and it is necessary to figure out the constituents omitted at analyzing the meaning of the sentence. This paper is on recognition of boundaries of parallel noun phrases by figuring out constituents omitted. Recognition of parallel noun phrases can greatly reduce complexity at the phase of sentence parsing. Moreover, in natural language information retrieval, recognition of noun with modifiers can play an important role in making indexes. We propose an unsupervised probabilistic model that identifies parallel cores as well as boundaries of parallel noun phrases conjoined by a conjunctive particle. It is based on the idea of swapping constituents, utilizing symmetry (two or more identical constituents are repeated) and reversibility (the order of constituents is changeable) in parallel structure. Semantic features of the modifiers around parallel noun phrase, are also used the probabilistic swapping model. The model is language-independent and in this paper presented on parallel noun phrases in Korean language. Experiment shows that our probabilistic model outperforms symmetry-based model and supervised machine learning based approaches.

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The Interpretation of Traditional Space Based on the Theory of Ontological Space (존재론적 장소개념에 의한 전통공간 해석에 관한 연구)

  • Lee, Ok-Jae;Kim, Moon-Duck
    • Korean Institute of Interior Design Journal
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    • v.23 no.4
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    • pp.94-102
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    • 2014
  • Nowadays when the social and cultural paradigm is changing, the incomplete space is becoming a matter of controversy. In order to figure out the solutions to it, are being held a variety of spatial discourses for spatial essence and meaning to be cleared. Accordingly, this study has tried to seek for any probability to interpret the ontology shown at any traditional space on the ground of Heidegger's Ontological Thinking Structure which has a considerable impact on Modern Space, whose conclusions are the followings. First, Heidegger's ontological space theory, which provided a foundation of Placeness concept, includes not only the character of interdisciplinary learning among philosophy, arts and any related studies but also that of mutual oriental and occidental cultures. Second, between the thoughts of Heidegger and Lao-tzu are considerable similarities from the methodical viewpoint that materializes the meaning of existence as an essence. Third, for a convenient interpretation, the ontological spatial concept of Lao-tzu's philosophy shown at traditional spaces have been categorized into Typology-Incident, Morphology-situation and Topology-meaning generation with Schultz's Existential Spatial Concept based on Heidegger's Ontology as a medium. In particular, the meaning generation which materializes the placeness has the trait of being clarified as the product of interactions between incidents and situations.

State of Health Estimation for Lithium-Ion Batteries Using Long-term Recurrent Convolutional Network (LRCN을 이용한 리튬 이온 배터리의 건강 상태 추정)

  • Hong, Seon-Ri;Kang, Moses;Jeong, Hak-Geun;Baek, Jong-Bok;Kim, Jong-Hoon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.26 no.3
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    • pp.183-191
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    • 2021
  • A battery management system (BMS) provides some functions for ensuring safety and reliability that includes algorithms estimating battery states. Given the changes caused by various operating conditions, the state-of-health (SOH), which represents a figure of merit of the battery's ability to store and deliver energy, becomes challenging to estimate. Machine learning methods can be applied to perform accurate SOH estimation. In this study, we propose a Long-Term Recurrent Convolutional Network (LRCN) that combines the Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM) to extract aging characteristics and learn temporal mechanisms. The dataset collected by the battery aging experiments of NASA PCoE is used to train models. The input dataset used part of the charging profile. The accuracy of the proposed model is compared with the CNN and LSTM models using the k-fold cross-validation technique. The proposed model achieves a low RMSE of 2.21%, which shows higher accuracy than others in SOH estimation.

Human Laughter Generation using Hybrid Generative Models

  • Mansouri, Nadia;Lachiri, Zied
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.5
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    • pp.1590-1609
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    • 2021
  • Laughter is one of the most important nonverbal sound that human generates. It is a means for expressing his emotions. The acoustic and contextual features of this specific sound are different from those of speech and many difficulties arise during their modeling process. During this work, we propose an audio laughter generation system based on unsupervised generative models: the autoencoder (AE) and its variants. This procedure is the association of three main sub-process, (1) the analysis which consist of extracting the log magnitude spectrogram from the laughter database, (2) the generative models training, (3) the synthesis stage which incorporate the involvement of an intermediate mechanism: the vocoder. To improve the synthesis quality, we suggest two hybrid models (LSTM-VAE, GRU-VAE and CNN-VAE) that combine the representation learning capacity of variational autoencoder (VAE) with the temporal modelling ability of a long short-term memory RNN (LSTM) and the CNN ability to learn invariant features. To figure out the performance of our proposed audio laughter generation process, objective evaluation (RMSE) and a perceptual audio quality test (listening test) were conducted. According to these evaluation metrics, we can show that the GRU-VAE outperforms the other VAE models.