• Title/Summary/Keyword: geometry learning

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Study on Pardies' 《ELEMENS DE GEOMETRIE》 (Pardies의 《기하 원론》 탐구)

  • Chang, Hyewon
    • Journal for History of Mathematics
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    • v.31 no.6
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    • pp.291-313
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    • 2018
  • This study aims to analyze Pardies' ${\ll}$Elements of geometry${\gg}$. This book is very interesting from the perspectives of mathematical history as well as of mathematical education. Because it was used for teaching Kangxi emperor geometry in the Qing Dynasty in China instead of Euclid's which was considered as too difficult to study geometry. It is expected that this book suggests historical and educational implications because it appeared in the context of instruction of geometry in the seventeenth century of mathematical history. This study includes the analyses on the contents of Pardies' ${\ll}$Elements of geometry${\gg}$, the author's advice for geometry learning, several geometrical features, and some features from the view of elementary school mathematics, of which the latter two contain the comparisons with other authors' as well as school mathematics. Moreover, some didactical implications were induced based on the results of the study.

An Optimized Deep Learning Techniques for Analyzing Mammograms

  • Satish Babu Bandaru;Natarajasivan. D;Rama Mohan Babu. G
    • International Journal of Computer Science & Network Security
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    • v.23 no.7
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    • pp.39-48
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    • 2023
  • Breast cancer screening makes extensive utilization of mammography. Even so, there has been a lot of debate with regards to this application's starting age as well as screening interval. The deep learning technique of transfer learning is employed for transferring the knowledge learnt from the source tasks to the target tasks. For the resolution of real-world problems, deep neural networks have demonstrated superior performance in comparison with the standard machine learning algorithms. The architecture of the deep neural networks has to be defined by taking into account the problem domain knowledge. Normally, this technique will consume a lot of time as well as computational resources. This work evaluated the efficacy of the deep learning neural network like Visual Geometry Group Network (VGG Net) Residual Network (Res Net), as well as inception network for classifying the mammograms. This work proposed optimization of ResNet with Teaching Learning Based Optimization (TLBO) algorithm's in order to predict breast cancers by means of mammogram images. The proposed TLBO-ResNet, an optimized ResNet with faster convergence ability when compared with other evolutionary methods for mammogram classification.

A Development and Applications of Problem Solving Tool for Learning Geometry (기하 학습을 위한 문제해결 도구 개발 및 적용)

  • Bae, Jin-Seong;Kim, Kap-Su
    • Journal of The Korean Association of Information Education
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    • v.14 no.3
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    • pp.449-459
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    • 2010
  • Using a geometric computer program achieve learning effects as handling various function and has advantage to overcome the environment of classroom through providing an inquiring surroundings in the figure learning at an elementary school. There are many software for drawing the geometric. But currently most is focus on how to use the softwares without contents. So, It is necessary to develope a geometric software adapted cognitive development of primary schoolchildren. This study is aim to analyze elementary mathematic curriculum based on Van Heiles theory, to develope the software(Geometry for Kids : GeoKids) considering cognitive level of the primary schoolchildren. This software is developed to substitute a ruler and a compass considering cognitive level of the primary schoolchildren. Using mouse, GeoKids software help a child to draw easily lines and circles and this software notice another lines and circle automatically for a more accurate drawing figures. Children can use practically this software in connection with subjects of elementary mathematic curriculum.

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A Dynamic Inferential Framework for Learning Geometry Problem Solving (기하 문제 학습을 위한 동적 추론 체계)

  • Kook, Hyung-Joon
    • Journal of KIISE:Software and Applications
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    • v.27 no.4
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    • pp.412-421
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    • 2000
  • In spite that the main contents of mathematical and scientific learning are understanding principles and their applications, most of existing educational softwares are based on rote learning, thus resulting in limited educational effects. In the artificial intelligence research, some progress has been made in developing automatic tutors based on proving and simulation, by adapting the techniques of knowledge representation, search and inference to the design of tutors. However, these tutors still fall short of being practical and the turor, even a prototype model, for learning problem solving is yet to come out. The geometry problem-solving tutor proposed by this research involves dynamic inference performed in parallel with learning. As an ontology for composing the problem space within a real-time setting, we have employed the notions of propositions, hypotheses and operators. Then we investigated the mechanism of interactive learning of problem solving in which the main target of inference involves the generation and the test of these components. Major accomplishment from this research is a practical model of a problem tutor embedded with a series of inference techniques for algebraic manipulation, which is indispensable in geometry problem solving but overlooked by previous research. The proposed model is expected to be applicable to the design of problem tutors in other scientific areas such as physics and electric circuitry.

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On the software of geometry education in the internet age (인터넷 환경의 동적기하 S/W에 관한 연구)

  • 김태순;박경수;전명진;최건돈;한동숭
    • Journal of the Korean School Mathematics Society
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    • v.6 no.2
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    • pp.39-53
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    • 2003
  • We study the dynamic geometry software suitable for the Internet Environment. First, we look into the necessity of dynamic geometry software and compare the functions and the features of commercial softwares, GSP, Cabri and Cinderella. Secondly, we introduce the process of development and the structure of the new software DRC(Digital Ruler and Compass) designed by authors and discuss the learning program with DRC and Internet, and view the upgrade of the software in the future.

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Development of Inference Algorithm for Bead Geometry in GMAW using Neuro-Fuzzy (Neuro-Fuzzy를 이용한 GMA 용접의 비드형상 추론 알고리즘 개발)

  • 김면희;이종혁;이태영;이상룡
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.608-611
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    • 2002
  • In GMAW(Gas Metal Arc Welding) process, bead geometry (penetration, bead width and height) is a criterion to estimate welding quality. Bead geometry is affected by welding current, arc voltage and travel speed, shielding gas, CTWB (contact- tip to workpiece distance) and so on. In this paper, welding process variables were selected as welding current, arc voltage and travel speed. And bead geometry was reasoned from the chosen welding process variables using negro-fuzzy algorithm. Neural networks was applied to design FL(fuzzy logic). The parameters of input membership functions and those of consequence functions in FL were tuned through the method of learning by backpropagation algorithm. Bead geometry could be reasoned from welding current, arc voltage, travel speed on FL using the results learned by neural networks.

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How to develop the ability of proof methods?

  • Behnoodi, Maryam;Takahashi, Tadashi
    • Research in Mathematical Education
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    • v.13 no.3
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    • pp.217-233
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    • 2009
  • The purpose of this study is to describe how dynamic geometry systems can be useful in proof activity; teaching sequences based on the use of dynamic geometry systems and to analyze the possible roles of dynamic geometry systems in both teaching and learning of proof. And also dynamic geometry environments can generate powerful interplay between empirical explorations and formal proofs. The point of this study was to show that how using dynamic geometry software can provide an opportunity to link between empirical and deductive reasoning, and how such software can be utilized to gain insight into a deductive argument.

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Integrating Tessellation to Connect Geometry with Pattern in Elementary Mathematics Education (테슬레이션을 이용한 초등수학의 도형과 규칙성의 연계지도)

  • 김민경
    • Education of Primary School Mathematics
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    • v.5 no.1
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    • pp.1-11
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    • 2001
  • The purpose of the study is to introduce how tessellation can be used and integrated to connect geometry to pattern in elementary mathematics educations. Tessellation examples include transformations such as translational symmetry, rotational symmetry, reflection symmetry, and glide reflection symmetry. In addition, many examples of tessellation using softwares such as Escher, TesselMania!, and LOGO programs. Further, future study will continue to foster students and teachers to try to construct their alive mathematics knowledge. The study of geometry and patterns require a rich teaching and learning environment provided by in-depth understanding of thinking connections to objects in real world.

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Development of Formative Assessment Program in Geometry Area for the 1st Graders of Middle School (중학교 1학년 기하 영역 형성평가 프로그램 개발 및 효과 분석)

  • Ryu, Hyun-Ah;Lee, Bong-Ju;Yang, Myoung-Hee;Choe, Seung-Hyun;Byun, Hee-Hyun
    • Journal of the Korean School Mathematics Society
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    • v.15 no.1
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    • pp.137-154
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    • 2012
  • The purposes of this study are to develop the formative assessment program in geometry area for a 1st-grade class of middle school and to test the effect of this program. This formative assessment program was based on mathematics curriculum for the 1st graders of middle school. In addition, we examined how the 1st graders of middle school understand the geometric concepts by analyzing their response in the pretest and the posttest. This formative assessment program and the results of its analysis would be the useful information for the effective teaching and learning in geometry area for the 1st grades of middle school.

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