• Title/Summary/Keyword: 학습의 전이

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Automatic Sagittal Plane Detection for the Identification of the Mandibular Canal (치아 신경관 식별을 위한 자동 시상면 검출법)

  • Pak, Hyunji;Kim, Dongjoon;Shin, Yeong-Gil
    • Journal of the Korea Computer Graphics Society
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    • v.26 no.3
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    • pp.31-37
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    • 2020
  • Identification of the mandibular canal path in Computed Tomography (CT) scans is important in dental implantology. Typically, prior to the implant planning, dentists find a sagittal plane where the mandibular canal path is maximally observed, to manually identify the mandibular canal. However, this is time-consuming and requires extensive experience. In this paper, we propose a deep-learning-based framework to detect the desired sagittal plane automatically. This is accomplished by utilizing two main techniques: 1) a modified version of the iterative transformation network (ITN) method for obtaining initial planes, and 2) a fine searching method based on a convolutional neural network (CNN) classifier for detecting the desirable sagittal plane. This combination of techniques facilitates accurate plane detection, which is a limitation of the stand-alone ITN method. We have tested on a number of CT datasets to demonstrate that the proposed method can achieve more satisfactory results compared to the ITN method. This allows dentists to identify the mandibular canal path efficiently, providing a foundation for future research into more efficient, automatic mandibular canal detection methods.

Germanische Resonantengemination und Laryngaltheorie (게르만어의 공명음 중복현상과 후두음이론)

  • Jeon Soon-Hwan
    • Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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    • v.5
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    • pp.1-22
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    • 2002
  • 본 논문의 목적은 게르만제어(예를들어 고트어, 고대북구어, 고고지독일어, 고대영어 등)에 나타나는 공명음중복 현상이 원-인도유럽어시기의 후두음에 기인함을 보이는 것이다. 고트어의 ddj/ggw, 고대북구어의 ggi/ggr, 고고지독일어 ij/uw (이상 소위 '예음화현상'으로 불림)와 그 외 게르만제어에 공통적으로 나타나는 공명음들의 중복, -rr-, -ll-, -nn-, -mm- 등은 원-게르만어시기에 각각 $\ast-ii-,\;\ast-uu-,\;\ast-rr-,\;\ast-ll-,\;\ast-nn-,\;\ast-mm-$ 등으로 소급된다. 그러나 이러한 자음군이 게르만어 이외의 다른 인도유럽어들( 대표적으로 고대인도이란어, 고전희랍어, 라전어 등)과 비교되어 원-인도유럽어시기로 소급되는 경우, 각각 $\ast-iH-,\;\ast-uH-,\;\ast-rH-,\;\ast-lH-,\;\ast-nH-,\;\ast-mH-$ 등으로 재구된다. 따라서 원-게르만어의 자음중복 현상이 후두음의 영향으로 나타난 것으로 해석되는데, 아마도 후두음이 선행하는 공명음에 동화되어 일어난 것으로 보인다. 소쉬르(1987)이래 발전해 온 후두음이론은 현재 그 이론적 틀을 확립한 상태이다. 이 이론은 고전 인도유럽어학에서 설명하지 못했던 여러 언어현상들을 설명하였고, 현대 인도유럽어 역사비교언어학에서 언어변화에 대한 필수적인 설명기재로서 사용되고 있다. 원-인도유럽어의 많은 특징들을 계승한 전형적인 다른 고대 인도유럽어들과는 달리, 시기적으로 늦은 고대 게르만어에서 음운론적 층위에서 공명음중복 현상이 후두음에 기인함은 인도유럽어 역사비교언어학에서 뿐만 아니라 게르만어학에서도 큰 의미를 갖는다고 볼 수 있다.간접으로 본동사 앞에 놓여 있어야 되는 모든 문장성분과 부문장 때문에, 즉 한국어의 전면적인 전위수식 현상으로 흔히 큰 부담/복잡함을 야기한다는 데에 그 원인이 있다. 이러한 상황에서 동사는 가능한 한 그의 문장성분을 줄이려 한다. 통사적으로 보장되어 이미 있으니 말이다. 그래서 한국어 동사의 부정성은 일종의 부담해소 대책으로 간주될 수 있을 것이다. $\ast$ 두 비교 대상에서의 핵 및 최소문장 가능성은 역시 원자가에 대한 비구속성에서 비롯된다. $\ast$ 우리 한국인이 빨리 말할 때 흔히 범하는 부정성으로 인한 인칭변화에서의 오류는 무엇보다도 정형성/제한성을 지닌 독일어 정동사가 인칭 변화하는 데 반해 한국어에서는 부정성/비구속성을 지닌 동사가 그것과는 무관한 페 기인한다. 동사의 속성을 철저히 분석함으로써 이런 과오를 극복해야 할 것이다. 한국어 동사의 부정성은 지금까지 거의 연구되지 않았다. 이 문제는 또한 지속적으로 수많은 다른 자연어들과의 비교분석을 통해 관찰돼야 할 것이다. 이 논문이 이런 연구와 언어습득을 위한 작업에 도움이 되기를 바란다.적 성분구조가 다르다는 것을 알 수 있다. 우리는 이 글이 외국어로서의 독일어를 배우는 이들에게 독일어의 관용구를 보다 올바르게 이해할 수 있는 방법론적인 토대를 제공함은 물론, (관용어) 사전에서 외국인 학습자를 고려하여 관용구를 알기 쉽게 기술하는 데 도움을 줄 수 있기를 바란다.되기 시작하면서 남황해 분지는 구조역전의 현상이 일어났으며, 동시에 발해 분지는 인리형 분지로 발달하게 되었다. 따라서, 올리고세 동안 발해 분지에서는 퇴적작용이, 남황해 분지에서는 심한 구조역전에 의한 분지변형이 동시에 일어났다 올리고세 이후 현재까지, 남황해

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Smart Farm Expert System for Paprika using Decision Tree Technique (의사결정트리 기법을 이용한 파프리카용 스마트팜 전문가 시스템)

  • Jeong, Hye-sun;Lee, In-yong;Lim, Joong-seon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.373-376
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    • 2018
  • Traditional paprika smart farm systems are often harmful to paprika growth because they are set to follow the values of several sensors to the reference value, so the system is often unable to make optimal judgement. Using decision tree techniques, the expert system for the paprika smart farm is designed to create a control system with a decision-making structure similar to that of farmers using data generated by factors that depend on their surroundings. With the current smart farm control system, it is essential for farmers to intervene in the surrounding environment because it is designed to follow sensor values to the reference values set by the farmer. To solve this problem even slightly, it is going to obtain environmental data and design controllers that apply decision tree method. The expert system is established for complex control by selecting the most influential environmental factors before controlling the paprika smart farm equipment, including criteria for selecting decisions by farmers. The study predicts that each environmental element will be a standard when creating smart farms for professionals because of the interrelationships of data, and more surrounding environmental factors affecting growth.

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Research of Pre-Service Science Teachers' Understanding About the Chemistry Concept and Analysis of Incorrect Responses: Focus on Middle School Curriculum (예비 과학교사의 화학 개념에 대한 이해도 조사와 오답 반응 분석: 중학교 교육과정을 중심으로)

  • Lee, Hyun-Jeong;Choi, Won-Ho
    • Journal of the Korean Chemical Society
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    • v.55 no.6
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    • pp.1030-1041
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    • 2011
  • We investigated the understanding of pre-service science teacher about the chemistry concept of middle school curriculum using some items in National Assessment of Educational Achievement and analyzed the result according to background variables of pre-service science teacher. The result was that there were some pre-service science teachers who select incorrect answer at all items, pre-service science teachers don't fully understand the concept needed to solve item. And the percentage of correct answer at some items was low regardless of selection of chemistry as an elective subject at CSAT(College Scholastic Ability Test). We found some facts through the depth interviews to find the cause of the result. First, the misconception acquired in middle school days is tend not to change until college student. Second, the formation of misconception is affected by the study habit with which solve problem by simple calculation and memory without essential understanding. Third, the study habit with which solve problem by simple calculation and memory without essential understanding could not replace misconceptions acquired in middle school days with scientific concept regardless of selection of chemistry as an elective subject at CSAT.

Smartphone Addiction Detection Based Emotion Detection Result Using Random Forest (랜덤 포레스트를 이용한 감정인식 결과를 바탕으로 스마트폰 중독군 검출)

  • Lee, Jin-Kyu;Kang, Hyeon-Woo;Kang, Hang-Bong
    • Journal of IKEEE
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    • v.19 no.2
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    • pp.237-243
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    • 2015
  • Recently, eight out of ten people have smartphone in Korea. Also, many applications of smartphone have increased. So, smartphone addiction has become a social issue. Especially, many people in smartphone addiction can't control themselves. Sometimes they don't realize that they are smartphone addiction. Many studies, mostly surveys, have been conducted to diagnose smartphone addiction, e.g. S-measure. In this paper, we suggest how to detect smartphone addiction based on ECG and Eye Gaze. We measure the signals of ECG from the Shimmer and the signals of Eye Gaze from the smart eye when the subjects see the emotional video. In addition, we extract features from the S-transform of ECG. Using Eye Gaze signals(pupil diameter, Gaze distance, Eye blinking), we extract 12 features. The classifier is trained using Random Forest. The classifiers detect the smartphone addiction using the ECG and Eye Gaze signals. We compared the detection results with S-measure results that surveyed before test. It showed 87.89% accuracy in ECG and 60.25% accuracy in Eye Gaze.

An Analysis of Structural Relationship Among Positive Parenting Attitudes, Attitudes Toward Science, Science Inquiry Skills, and Science Achievements perceived by Middle School Students (중학생이 지각한 부모의 긍정적 양육 태도·과학 태도 및 과학 탐구 능력과 과학 학업 성취도의 구조적 관계 분석)

  • Park, Kirak;Choi, Hyosik;Yeon, Eun Mo
    • Journal of The Korean Association For Science Education
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    • v.37 no.4
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    • pp.669-677
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    • 2017
  • The purpose of this study is to estimate the direct and indirect effects of relevant variables on students' science achievements. Path analysis was conducted with data from middle school to examine the effects of perceived positive parenting attitudes, attitudes toward science, science inquiry skills on the science achievements of middle school students. A total of 502 middle school students from the metropolitan area participated in this study. Results suggest that students' perceptions of positive parenting attitudes had no direct influence on their science inquiry skills. However, the students' attitudes toward science and science inquiry skills were found to have meaningful direct effects on their achievements. Students' perception of positive parenting attitudes also presented a significant direct effect on their attitude toward science. In addition, the students' perceived positive parenting attitude revealed an indirect effect on science achievement, through their own attitudes toward science and science inquiry skills. Research findings called for more educational programs and teaching methods considering students' attitudes toward science and science inquiry skills to improve their science achievements. At home, parents need to have positive parenting attitudes to influence their children's attitudes regarding science.

The Degree of Life-Respect and Peer Bullying in Elementary School Students (초등학생의 생명존중과 또래괴롭힘)

  • Kim, Shin-Jeong;Park, Young-Ae;Kim, Sung-Hee;Kim, Hye-Young;Yoo, So-Young;Baek, Seong-Sook;Lee, Jung-Eun
    • Child Health Nursing Research
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    • v.21 no.1
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    • pp.28-36
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    • 2015
  • Purpose: This study was done to provide basic data for education of elementary school students on life-respect and peer bullying prevention. Methods: Participants were 5th and 6th grade elementary school students. Data from the questionnaires of 218 participants were analyzed. Results: 1) The mean score for degree of life-respect was 4.23 (${\pm}0.38$). The types of peer bullying were 'defenders of victims' ($3.19{\pm}0.93$), 'bullies' ($2.04{\pm}0.72$), 'victims' ($1.91{\pm}0.84$), 'bystanders' ($1.79{\pm}0.80$), and 'bully-followers' ($1.66{\pm}0.60$). 2) There was a significant difference in the degree of life-respect according to gender (t=-2.410, p=.017). Likewise, in the degree of peer bullying, among the type of 'bullies' there were significant differences according to grade (t=-2.285, p=.004), and gender (t=3.191, p=.002). Also, among the types of 'bully-followers' there were significant differences according to gender (t=2.053, p=.041), and having a religion or not (t=3.319, p=.001). 3) There was a significant correlation between life-respect and types of peer bullying. Conclusion: The results of this study provide helps for more effective provision of educational programs regarding life-respect and peer bullying.

The Effect of Service Quality and Company Reputation on Customer Satisfaction and Loyalty in Mobile Payment: Moderating Effects of Switching Barriers (모바일 간편 결제 서비스 품질 및 기업 명성이 고객 만족과 충성도에 미치는 영향: 전환장벽의 조절적 작용)

  • Kim, Eun Bi;Yang, Hongsuk
    • Journal of Service Research and Studies
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    • v.7 no.2
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    • pp.17-41
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    • 2017
  • The purpose of this research is to investigate the factors that impact customer satisfaction and loyalty in mobile payment services. Specifically, this research (1) studies the influence of company reputation on customer satisfaction and loyalty, (2) examines service quality dimensions that increase customer satisfaction, and (3) assesses switching barriers as moderators in influencing customer loyalty. Findings of this empirical research reconfirm the point of view that company reputation, service quality, and switching barriers are crucial for customer satisfaction in mobile payment services. The research methodologies that were used to verify the hypothesis in this study included customized surveys and structural equation modeling. The results demonstrated that company reputation significantly affects customer satisfaction and loyalty. Additionally, the results indicated that only two of the five total service qualities, ease of use and the security/privacy qualities, have positive influences on customer satisfaction. Customer satisfaction has also proven to be a significant influence on loyalty. Lastly, the results showed that among the factors of switching barriers, the factors of lost performance costs, sunk costs, setup costs, the attractiveness of alternatives, and service recovery have moderating effects on the relationships between customer satisfaction and loyalty. Base on the results, this research recommends that firms aim at devising integrated strategies that make switching barriers act as complements to customer satisfaction.

Design of Optimized pRBFNNs-based Face Recognition Algorithm Using Two-dimensional Image and ASM Algorithm (최적 pRBFNNs 패턴분류기 기반 2차원 영상과 ASM 알고리즘을 이용한 얼굴인식 알고리즘 설계)

  • Oh, Sung-Kwun;Ma, Chang-Min;Yoo, Sung-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.6
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    • pp.749-754
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    • 2011
  • In this study, we propose the design of optimized pRBFNNs-based face recognition system using two-dimensional Image and ASM algorithm. usually the existing 2 dimensional face recognition methods have the effects of the scale change of the image, position variation or the backgrounds of an image. In this paper, the face region information obtained from the detected face region is used for the compensation of these defects. In this paper, we use a CCD camera to obtain a picture frame directly. By using histogram equalization method, we can partially enhance the distorted image influenced by natural as well as artificial illumination. AdaBoost algorithm is used for the detection of face image between face and non-face image area. We can butt up personal profile by extracting the both face contour and shape using ASM(Active Shape Model) and then reduce dimension of image data using PCA. The proposed pRBFNNs consists of three functional modules such as the condition part, the conclusion part, and the inference part. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of RBFNNs is represented as three kinds of polynomials such as constant, linear, and quadratic. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. The proposed pRBFNNs are applied to real-time face image database and then demonstrated from viewpoint of the output performance and recognition rate.

Analysis and Recognition of Behavioral Response of Selected Insects in Toxic Chemicals for Water Quality Monitoring (수질 모니터링을 위한 유해 물질 유입에 따른 생물체의 행동 반응 분석 및 인식)

  • Kim, Cheol-Ki;Cha, Eui-Young
    • The KIPS Transactions:PartB
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    • v.9B no.5
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    • pp.663-672
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    • 2002
  • In this paper, Using an automatic tracking system, behavior of an aquatic insect, Chironomus sp. (Chironomidae), was observed in semi-natural conditions in response to sub-lethal treament of a carbamate insecticide, carbofuran. The fourth instar larvae were placed in an observation cage $(6cm\times{7cm}\times{2.5cm)}$ at temperature of $18^\circ{C}$ and the light condition of 10 time (light) : 14 time (dark). The tracking system was devised to detect the instant, partial movement of the insect body. Individual movement was traced after the treatment of carbofuran (0.1ppm) for four days 2days : before treatment, 2 days : after treatment). Along with the other irregular behaviors, "ventilation activity", appearing as a shape of "compressed zig-zag", was more frequently observed after the treatment of the insecticide. The activity of the test individuals was also generally depressed after the chemical treatment. In order to detect behavioral changes of the treated specimens, wavelet analysis was implemented to characterize different movement patterns. The extracted parameters based on Discrete Wavelet Transforms (DWT) were subsequently provided to artificial neural networks to be trained to represent different patterns of the movement tracks before and after treatments of the insecticide. This combined model of wavelets and artificial neural networks was able to point out the occurrence of characteristic movement patterns, and could be an alternative tool for automatically detecting presences of toxic chemicals for water quality monitoring. quality monitoring.