• Title/Summary/Keyword: 2단계 학습

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Analysis of Fish Blocking Effect using Illuminance Difference (조도 차이를 이용한 어류 차단 효과 분석)

  • Kang, Joon-Gu;Kang, Su-Jin;Kim, Jong-Tae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.9
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    • pp.76-83
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    • 2017
  • Fish respond sensitively to light, so it is possible to develop fish management technology using this feature. In this study, we developed a light-based fish barrier and analyzed itsblocking effect using the difference in illuminance for the major fish species in Korea, bass and bluegill. The light was generated by a light emitting diode and the facility was installed vertically from the bottom. Considering the fish's ability to travel upstream, the flow rate was divided into three stages (0.2, 0.1, and 0.05 m/s). To prevent the learning effect, an experiment was carried out with fish that had rested for more than one day in a rearing tank. The experiment was carried out in such a way as tocompare the number of fish which travelled upstream after the introductionof the fish barrier and that of the fish which travelled upstream after itsremoval. It was also carried out after sunset to increase the effectiveness of the barrier. According to the results of the experiment, the fish blocking effect depending on the difference in illuminance was high and, overall, the blocking rate for bass was lower than that for bluegill. Based on the total size of the experimental population, the blocking rates for bass and bluegill were 96.33% and 99.00%, respectively. Based on the number of fish that travelled upstream, the blocking rates for bass and bluegill were 91.73% and 98.73%, respectively.

태양계의 물: 기원과 진화

  • Choe, Byeon-Gak;Choe, Hye-Rim
    • 한국지구과학회:학술대회논문집
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    • 2005.09a
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    • pp.3-8
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    • 2005
  • 지구는 현재 태양계에서 액체 상태의 물이 표면에 존재하는 유일한 천체이다. 하지만, 고체 또는 기체 상태의 물은 태양계의 다른 행성이나, 위성, 소행성, 혜성 등에도 풍부하게 존재하고 있다. 풍부한 액체 상태의 물은 지구 표면에서 일어나고 있는 기후의 변화, 해류의 이동, 퇴적 및 침식 작용, 화산활동과 같은 여러 지구과학적 현상에 밀접하게 관여하고 있을 뿐 아니라 생명의 탄생과 진화에도 매우 중요한 역할을 하였다. 현재 지구 표면에 액체 상태의 물이 존재할 수 있는 이유는 태양으로부터의 거리, 지구의 조성 및 크기 등과 관련된 지구 표면의 물리-화학적 조건이 액체 상태의 물이 존재할 수 있는 조건과 일치하고 있기 때문이다. 이와는 달리 지구보다 태양에 더 가깝게 위치하고 있고, 두터운 이산화탄소 대기를 갖고 있어 표면의 온도가 매우 높은 금성의 경우 H2O는 기체 상태로 존재하며, 지구보다 더 멀리 떨어져 있고 희박한 대기를 갖고 있는 화성의 경우에는 현재 H2O가 고체 즉 얼음의 형태로 존재한다. 태양계를 탄생시킨 태양계 성운에서는 압력이 너무 낮아 액체 상태의 물이 존재할 수 없으며, 고온에서는 기체 상태로 매우 낮은 저온에서는 얼음의 형태, 또는 함수 광물 내에 포함되어 존재할 수 있다. 지구와 같은 규모의 행성은 비교적 중력이 작아 태양계 성운의 기체를 거의 끌어들이지 못했다. 따라서 현재 지구에 존재하는 물은 대부분은 고체 상태로 지구에 집적되었을 것이다. 하지만 지구가 탄생한 위치에서 초기 태양계의 온도는 얼음이 형성되기에는 너무 높았기 때문에 좀 더 먼 곳에서(현재의 목성 위치보다 바깥쪽)에서 생성된 얼음 즉, 혜성이 태양계 안쪽으로 들어와 지구에 물을 공급했거나 함수광물을 포함하고 있는 소행성(예를 들어 CI chondrites와 같은 조성의)이 물을 가져왔을 것으로 생각되고 있다.서의 활성화는 어미 변환과 관련된 영역이라기보다는 산출시 관련되는 articulation, motor coordinate관련 영역으로 추정되고, 측두엽의 활성화는 형태소, 의미 관련 지식의 data base로 추정된다. 또한 우반구 전두엽 부분에서 관찰된 활성화는 억제관련 영역으로 짐작된다.러한 동물실험이 그 기초를 제공해 줄 수 있을 것이다. 또한 행동성향 및 기억의 종류에 따른 약물효과의 차이는 기억과 관련된 질병인 알츠하이머 환자에 있어 개개인에게 맞는 적절한 특징적인 치료약물이 존재할 것이라는 가능성을 제공해줄 뿐만 아니라 학습과 기억력 증진 효과를 기대해 볼 수 있을 것이라고 생각된다. 및 지역산업발전의 기획${\sim}$조정기구로서, 선진국의 지역발전기구(Regional Development Agency : RDA)인 지역전략산업기획단이 2002년도부터 산업자원부와 9개 시도에 의해 설립되어 지역네트워크의 활성화와 클러스터의 형성 촉진을 하게 되었고 2004년도에는 13개시도로 확대${\sim}$운영되고 있고, 지역특화사업(H/W)과 지역산업기술개발과제(S/W)와 함께 패케지 형태로 지원되며, 주요역할은 크게 지역산업의 정책기획 분야와 평가관리, 지역혁신역량 조사 및 DB구축 등으로 구분된다. 그중에서도 권역별, 지역별, 지역산업진흥사업 육성과 중장기 산업발전계획을 수립하기 위하여 지역혁신역량을 바탕으로 한 지역 Technology Road Map(TRM)작성사업은 전국공통의 1단계 사업으로 실시 ?榮쨉?, 2005년 3월 기준으로 9개 지역(강원, 대전, 충남, 충북, 경북, 울산, 전남, 전북, 제주) 26개 산업분야를 대상으로 23개가 완료된 상황이다. 이를 근거로 한 지역정책과 R&D 과제 및 필요 인프라의 도출이 체계적으로 구축되어 지역산업 발전을 위한

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A Study on the Problem Solving Styles according to Left/Right Brain Preference of Earth Science Gifted Students (좌우뇌 활용 선호도에 따른 지구과학 영재들의 문제해결방식에 관한 연구)

  • Chung, Duk-Ho;Park, Seon-Ok
    • Journal of the Korean earth science society
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    • v.31 no.2
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    • pp.172-184
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    • 2010
  • This study is to investigate the problem solving styles according to the left /right brain preference among earth science gifted students. We took the R/LCT and the test of BPI to investigate the brain preference of earth science gifted students (N=16), and took S-CPST to investigate the problem solving styles on them. In the R/LCT, the earth science gifted students were classified into 3 groups (8 left-brain preference students, 7 right-brain preference students, 1 middle-brain preference student). In the BPI, 8 students had the appearance of left-brain preference, whereas 8 students had the appearance of right-brain preference. According to the result of S-CPST, first the left brain preference students tended to resolve a problem into simple components, then they put together each simple component. They prefer to solve a problem using numbers and mathematical signs logically, but they were afraid of giving trouble to describe own idea with pictures. Whereas the right brain preference students solved a problem with 3 steps. First, they saw an overall form of problem. Second, they tried to analyze each simple component of it, and then, made up all in one. Also, the right brain preference students observed the intuitive pattern of problem first, and then suggested the various problem solving methods later, and they took a solving plan using a picture in detail. In sum, earth science gifted students are unequal in problem solving styles according to the left/right brain preference. Thus, a teaching-learning method needs to be developed based on left/right brain preference for more effective gifted education.

A Study of CNN-based Super-Resolution Method for Remote Sensing Image (원격 탐사 영상을 활용한 CNN 기반의 초해상화 기법 연구)

  • Choi, Yeonju;Kim, Minsik;Kim, Yongwoo;Han, Sanghyuck
    • Korean Journal of Remote Sensing
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    • v.36 no.3
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    • pp.449-460
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    • 2020
  • Super-resolution is a technique used to reconstruct an image with low-resolution into that of high-resolution. Recently, deep-learning based super resolution has become the mainstream, and applications of these methods are widely used in the remote sensing field. In this paper, we propose a super-resolution method based on the deep back-projection network model to improve the satellite image resolution by the factor of four. In the process, we customized the loss function with the edge loss to result in a more detailed feature of the boundary of each object and to improve the stability of the model training using generative adversarial network based on Wasserstein distance loss. Also, we have applied the detail preserving image down-scaling method to enhance the naturalness of the training output. Finally, by including the modified-residual learning with a panchromatic feature in the final step of the training process. Our proposed method is able to reconstruct fine features and high frequency information. Comparing the results of our method with that of the others, we propose that the super-resolution method improves the sharpness and the clarity of WorldView-3 and KOMPSAT-2 images.

Service Quality Assessment of University Libraries in Korea using LibQUAL+ : A Case Study (LibQUAL+를 활용한 국내 대학도서관 서비스 품질 측정 사례 조사)

  • Shim, Wonsik;Lee, Eun-Chul
    • Journal of the Korean Society for information Management
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    • v.30 no.2
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    • pp.245-268
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    • 2013
  • The paper describes a case study in which Sungkyunkwan University Library participated in the official ARL(Assoication of Research Libraries) LibQUAL+ evaluation program. LibQUAL+ model is based on the SERVQUAL service quality evaluation model originally developed in the marketing area. It details a number of processes including translation of the LibQUAL+ survey instrument into Korean, selection of study sample and choice of survey versions. In addition, it offers a number of strategies that can be adopted in order to analyze the survey data for various comparisons among different user groups and institutions. LibQUAL+ is more that a survey instrument; it a holistic system for assessing library service quality. Despite criticisms on LibQUAL+, we expect that university libraries in Korean will benefit from participating in the program. It is preferable that a group of libraries form a consortium to participate in the LibQUAL+ program as opposed to individual participation. The consortium can function as a learning community through various workshops and sharing activities, thus elevate the overall evaluation efforts in Korean libraries to a higher level.

Comparative Study on Effects of Sexuality Education in Elementary School Students (초등학생의 성교육 효과에 관한 비교연구)

  • Seo, Soon-Hee;Hong, Jee-Young;Lee, Moo-Sik;Na, Baeg-Ju;Lee, Jin-Yong;Bae, Seok-Hwan;Yoo, Se-Jong
    • Proceedings of the KAIS Fall Conference
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    • 2010.11b
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    • pp.513-516
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    • 2010
  • 본 연구는 성교육이 학생들의 성 지식, 태도, 역할 정체감에 미치는 효과를 알아보기 위해 실험군과 대조군으로 집단을 나누어 실험군에게 의도적인 성교육 실시하여 그 결과를 살펴보고 향후 학교에서 실시되는 성교육 계획 수립에 도움을 주고자 하는 실험연구이다. 본 연구의 대상은 충청북도 제천시에 위치한 J초등학교 5학년 6개 학급을 대상으로 실험군 100(남 50, 여 50), 대조군 100(남 50, 여 50) 총 200명을 대상으로 실시하였으며 자료 수집은 2009년 10월 15일부터 2009년 11월 25일까지 실시하였다. 연구도구는 문헌고찰을 통해 성 지식, 성 태도, 성역할 정체감에 사용한 설문지를 구성타당도 검증을 통해 문항을 구성 선정하였으며, 신뢰도는 Cronbach's ${\alpha}$ 값으로 검증하였다. 연구 대상자의 일반적 특성을 보면 92%의 학생이 부모님이 있고, 88.5%가 형제자매가 있으며, 집안 분위기는 60%가 자유스럽고, 7%가 엄한 것으로 나타났다. 연구 대상자의 성관련 특성으로 가정에서 성교육을 받아본 경험이 있는 경우는 36%로 나타났으며, 성과 관련된 정보를 얻는 순서는 87.5%의 학생이 학교 보건선생님한테 성 관련 정보를 얻는 경우가 대부분이었고, 다음 순서로는 부모님, 서적류, 담임선생님, 영상매체, 친구, 형제자매 순으로 나타났다. 연구 대상자의 신체변화정도를 살펴보면 여자의 경우 월경이 있는 경우는 20%정도, 가슴의 변화는 84%로 나타났으며, 남자의 경우 몽정이 있는 경우는 4%로 나타났으며, 남녀 모두 변성기, 여드름, 발모, 몽정, 월경, 가슴변화 등 한 가지 이상 신체변화가 나타난 경우는 56%로 나타났다. 연구 대상자의 성지식 사전 사후 점수를 비교해보면 두 집단 모두 사전보다 사후 점수가 증가하였다. 사후검사에서 교육을 받지 않은 대조군의 성지식 점수는 소폭 증가하였으나 성교육을 실시한 실험군의 성지식 점수는 더 큰 폭으로 높았으며, 특히 신체발달에서 사전검사에 대조군은(M=2.17), 실험군은 (M=1.66)으로 실험군의 점수가 낮았으나, 사후검사에서는 대조군은(M=2.76), 실험군은(M=3.90)으로 실험군의 점수가 더 높았다. 이상의 결과를 종합해보면 학교에서의 체계화된 성교육은 학생들의 성 지식, 태도, 성 역할 정체감 형성에 도움을 줄뿐만 아니라 성교육을 부끄러워하고, 쑥스러워하며, 어색해 하던 아이들이 문제 중심 학습을 적용하여 자기 주도적으로 문제를 해결하고, 체험, 실습, 역할극, 토의 등의 활동적인 수업에 적극 참여하고, 자연스럽게 활동하여 긍정적인 '밝은 성(性)'으로 변해가는 모습을 관찰할 수 있었다. 성교육은 인간의 성장과 발달에 따라 변화하는 과정이라는 것을 인식하여 건전한 성, 건강한 성을 함양하기 위해 체계적이고 발달 단계에 맞추어 이루어져야 할 것이다.

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A Study on the Methodology of Extracting the vulnerable districts of the Aged Welfare Using Artificial Intelligence and Geospatial Information (인공지능과 국토정보를 활용한 노인복지 취약지구 추출방법에 관한 연구)

  • Park, Jiman;Cho, Duyeong;Lee, Sangseon;Lee, Minseob;Nam, Hansik;Yang, Hyerim
    • Journal of Cadastre & Land InformatiX
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    • v.48 no.1
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    • pp.169-186
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    • 2018
  • The social influence of the elderly population will accelerate in a rapidly aging society. The purpose of this study is to establish a methodology for extracting vulnerable districts of the welfare of the aged through machine learning(ML), artificial neural network(ANN) and geospatial analysis. In order to establish the direction of analysis, this progressed after an interview with volunteers who over 65-year old people, public officer and the manager of the aged welfare facility. The indicators are the geographic distance capacity, elderly welfare enjoyment, officially assessed land price and mobile communication based on old people activities where 500 m vector areal unit within 15 minutes in Yongin-city, Gyeonggi-do. As a result, the prediction accuracy of 83.2% in the support vector machine(SVM) of ML using the RBF kernel algorithm was obtained in simulation. Furthermore, the correlation result(0.63) was derived from ANN using backpropagation algorithm. A geographically weighted regression(GWR) was also performed to analyze spatial autocorrelation within variables. As a result of this analysis, the coefficient of determination was 70.1%, which showed good explanatory power. Moran's I and Getis-Ord Gi coefficients are analyzed to investigate spatially outlier as well as distribution patterns. This study can be used to solve the welfare imbalance of the aged considering the local conditions of the government recently.

Analyzing Tasks in the Geometry Area of 7th Grade of Korean and US Textbooks from the Perspective of Mathematical Modeling (수학적 모델링 관점에 따른 한국과 미국의 중학교 1학년 교과서 기하 영역에 제시된 과제 분석)

  • Jung, Hye-Yun;Jung, Jin-Ho;Lee, Kyeong-Hwa
    • Journal of the Korean School Mathematics Society
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    • v.23 no.2
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    • pp.179-201
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    • 2020
  • The purpose of this study is to analyze tasks reflected in Korean and US textbooks according to the mathematical modeling perspectives, and then to compare the diversity of learning opportunities given to students from both countries. For this, we analyzed mathematical modeling tasks of textbooks based on three aspects: mathematical modeling process, data, and expression. Results are as follows. First, with respect to modeling process, Korean textbook provides a high percentage of the task at all stages of modeling than US textbook. Second, with respect to data, both countries' textbooks have the highest percentage of matching task. Korean textbooks have a large gap in data characteristics by textbook. Third, with respect to expression, both countries' textbooks have the highest percentage of text and picture. Korean textbooks have a large gap in the type of expression than US textbooks, and some textbooks have no other expression except for text and picture. Fourth, tasks were analyzed by integrating the three features. The three features were not combined in various ways. It is necessary to diversify the integration of the three features.

The study of Defense Artificial Intelligence and Block-chain Convergence (국방분야 인공지능과 블록체인 융합방안 연구)

  • Kim, Seyong;Kwon, Hyukjin;Choi, Minwoo
    • Journal of Internet Computing and Services
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    • v.21 no.2
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    • pp.81-90
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    • 2020
  • The purpose of this study is to study how to apply block-chain technology to prevent data forgery and alteration in the defense sector of AI(Artificial intelligence). AI is a technology for predicting big data by clustering or classifying it by applying various machine learning methodologies, and military powers including the U.S. have reached the completion stage of technology. If data-based AI's data forgery and modulation occurs, the processing process of the data, even if it is perfect, could be the biggest enemy risk factor, and the falsification and modification of the data can be too easy in the form of hacking. Unexpected attacks could occur if data used by weaponized AI is hacked and manipulated by North Korea. Therefore, a technology that prevents data from being falsified and altered is essential for the use of AI. It is expected that data forgery prevention will solve the problem by applying block-chain, a technology that does not damage data, unless more than half of the connected computers agree, even if a single computer is hacked by a distributed storage of encrypted data as a function of seawater.

Male nursing students' Practicum Experiences on Delivery Room (남자 간호학생의 분만실 실습 체험)

  • Kim, Kyoung-Ah;Won, Mi-Hwa;Shin, Sun-Hwa;Go, Gee-Youn;Choi, Junkyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.2
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    • pp.458-469
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    • 2016
  • The special education setting in nursing practicum is required for male nursing students to become professional registered nurses. Therefore, this study identifies how male nursing students find and recognize the meaning of the practicum in a delivery room. Eight male nursing students were selected randomly in junior and senior grade. They had finished delivery room practicum within a month and were interviewed from Jul. 20th, 2012 to Dec. 28th, 2012 until the narrative data were fully saturated. The phenomenological method of Colaizzi was used. Thirty themes, nine theme clusters, and three categories were identified. The three categories were frightened in the 'female privacy first' environment, sexual inequality for male students, and only one observation chance of the delivery process. From this study, male students did their best against the gender role and female-only field. A strategy to improve the image of professional nursing is required to enlighten the social conventions regarding the gender role. In addition, multilateral efforts are expected to eliminate the gender discrimination in the nursing education system to establish the correct role of professional registered nurses.