• Title/Summary/Keyword: 학습강화

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Effects of a Mobile Web-based Cardiopulmonary Resuscitation Convergence Education for Nurses (간호사를 위한 모바일 웹기반 심폐소생술 융합교육의 효과)

  • Bang, Jung-Yoon;Kim, Ju-Sung
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.307-317
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    • 2018
  • The purpose of this study was to evaluate effects of mobile web-based cardiopulmonary resuscitation(CPR) convergence education for nurses. This study used a nonequivalent control group pretest-posttest design. A sample of 46 nurses was included. The experimental group was given mobile web-based online CPR education with self-directed offline CPR practice. The control group was given traditional CPR lecture education with CPR practice. The data were collected using a structured questionnaire and performance skill test and were analyzed using SPSS 21.0 program. The experimental group had higher scores on CPR knowledge and CPR self-efficacy than those of the control group. there were no significant differences between groups (p=.741; p=.162). CPR skill ability was significantly higher in the experimental group compared to the control group(p=.001). This findings indicate that mobile web-based CPR convergence education can be an effective to strengthen CPR capabilities for nurses. These contribute to expanding convergence of education program development.

Analysis of and Ideas for Improving Descriptions of Igneous Rock Textures in High School Earth Science II Textbooks (고등학교 지구과학 II 교과서에서 화성암의 조직에 대한 용어 분석)

  • Koh, Jeong-Seon;Yun, Sung-Hyo;Han, Jong-Soo
    • Journal of the Korean earth science society
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    • v.29 no.3
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    • pp.305-314
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    • 2008
  • The purpose of this study is to analyze the concept of igneous rock textures and to uncover incorrect descriptions regarding the concept found within high school Earth Science II course seventh curriculum textbooks. Based upon this analysis suggestions will be made so as to improve descriptions regarding the concept of igneous rock texture. At least some incorrect descriptions regarding igneous rock texture were found in all the textbooks examined. Textures of volcanic rocks are described as being either fine-grained and glassy or porphyritic, while those of plutonic rocks are described as hollocrystalline, granular, coarse-grained or equigranular. These descriptions may contribute to forming and/or reinforcing misconceptions about both the classification criteria for, as well as the general concept of igneous rock textures. Therefore, some improvement schemes for the classification of igneous rock textures have been suggested. These schemes suggest that volcanic rocks be classified as either aphanitic or porphyritic, while plutonic rocks be classified as phaneritic, hollocrystalline or equigranular according to granularity, crystallinity, and both the absolute and relative sizes of the crystals within the rock.

The effects of online nursing education contents on self efficacy, knowledge, and performance of nursing skills (웹 기반 간호교육 콘텐츠가 간호수기술에 대한 자기효능감, 지식, 수행능력에 미치는 효과)

  • Nam, Hyea Sook;Son, Kyeong Ae;Kim, Su Hyun;Song, Yeoungsuk;Kwon, So-Hi;Oh, Eun Hee
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1353-1360
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    • 2014
  • This study aimed to evaluate the effects of the nursing skills program, which offers online access to evidence-based skills and procedures. The nursing skills tested in this study was tracheostomy suctioning in the Mosby's Nursing Skills. The design of the study was a control group non-synchronized pre-posttest quasi-experimental research. The experimental group who utilized the Mosby's Nursing Skills had significantly higher level of knowledge and skills of trachosotmy suctioning, but not of self-efficacy. Online accessible nursing skills program was shown to be effective in improving nursing skills of students, and it is suggested to utilize the program in nursing practicum.

Design Development of Shower system for Bathroom through Design Support Program based upon Academic-Industrial Collaboration (산학협동 디자인 지원 프로그램을 통한 욕실공간 샤워시스템 개발연구)

  • 김국선
    • Archives of design research
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    • v.15 no.3
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    • pp.149-156
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    • 2002
  • Through academic-industrial collaboration program, special knowledge and human resources in the university are utilized in the society and it may contribute to the development of industry and enhance the competitiveness of the corporation to the activation and acceleration of the regional economy and finally to the enhancement of competitiveness of national industry in international level. This study is based upon design process for the development of body-shower product for bath room, and expected to be used as an important educational material for establishment of order-based education system which conforms to the job site needs that may be analysed from feedback of product results and for practical learning.

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Recognition of Unconstrained Handwritten Numerals using Modified Chaotic Neural Networks (수정된 카오스 신경망을 이용한 무제약 서체 숫자 인식)

  • 최한고;김상희;이상재
    • Journal of the Institute of Convergence Signal Processing
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    • v.2 no.1
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    • pp.44-52
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    • 2001
  • This paper describes an off-line method for recognizing totally unconstrained handwritten digits using modified chaotic neural networks(MCNN). The chaotic neural networks(CNN) is modified to be a useful network for solving complex pattern problems by enforcing dynamic characteristics and learning process. Since the MCNN has the characteristics of highly nonlinear dynamics in structure and neuron itself, it can be an appropriate network for the robust classification of complex handwritten digits. Digit identification starts with extraction of features from the raw digit images and then recognizes digits using the MCNN based classifier. The performance of the MCNN classifier is evaluated on the numeral database of Concordia University, Montreal, Canada. For the relative comparison of recognition performance, the MCNN classifier is compared with the recurrent neural networks(RNN) classifier. Experimental results show that the classification rate is 98.0%. It indicates that the MCNN classifier outperforms the RNN classifier as well as other classifiers that have been reported on the same database.

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A Study on the Features of the Curriculum of Chosun-Sanhak in the 17th to 18th Century (17-18세기 조선산학의 교육과정적 특징 고찰)

  • Choi, Eun Ah
    • Journal of Educational Research in Mathematics
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    • v.24 no.3
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    • pp.409-428
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    • 2014
  • The purpose of this study is to examine the features of the curriculum of Chosun-Sanhak(朝鮮算學), the mathematics of Chosun Dynasty in the 17th to 18th century. The results of this study are as follows. First, the goal of education, teaching-learning method and assessment of Chosun-Sanhak in the 17th to 18th century had not changed since the 15th century. Second, the changes in the field of the organization of mathematical contents were observed. Chosun-Sanhak in that time was higher in the hierarchy than in the 15th to 16th century. The share of the equation and geometry had increased and various topics of mathematics had been studied as well. Third, in the field of the characteristics of mathematical contents, the influx of European mathematics and the uniqueness of Chosun-Sanhak had been observed. In conclusion, The 17th to 18th century was the time when Chosun-Sanhak had pursued the identity escaping from the effects of Chinese-Sanhak.

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A Study on the Factors Influencing on the Intention to Continuously Use a Smart Factory (스마트 팩토리 지속사용의도에 영향을 미치는 요인에 관한 연구)

  • Kim, Hyun-gyu
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.2
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    • pp.73-85
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    • 2020
  • While Korea became one of manufacturing powers in the world through a fast-follower strategy as well as implementing the approach of advancing manufacturing business focused on quantitative input, The advent of the fourth industrial revolution and demand becoming more complicated than ever both require a system that quickly detects the change of markets in advance and reflects it in the manufacturing strategy. Accordingly, the introduction of a smart factory is not optional but mandatory in order to strengthen the competitiveness of manufacturing business using ICT. This paper aims to investigate key factors having influence on the intention to continuously use a smart factory, the innovative IT device, on the basis of the technology acceptance model. This paper analyzed the influence of the leadership of CEO, organizational learning and perceived switching costs on the intention to continuously use a smart factory by the parameters of perceived ease of use and usefulness, the major belief valuables of the IT acceptance model.

A Study on the Creative Web Design Concept Development (창의적 웹디자인 컨셉 개발에 관한 연구)

  • Seo Mi-Ra;Park Sang-Jin;Kwak Hoon-Sung
    • The Journal of the Korea Contents Association
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    • v.6 no.6
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    • pp.136-143
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    • 2006
  • Contemporary society demands the ability to cope with the change competitively to the designer which is being accelerated of change and various media are emerging. The web design field which is one of the core design industry field of the contemporary society is needing the conversion from manufacturing technology specialization into creative design development composition. Generally, creative design development ability can be learned by studying. So, creativity development education is needed to develop creative design. Creative thought training is perceived as the core condition for competitive design and the education method for this is being proceeded multiply. But the study for design concept is lacking concretely. By this, this paper is to study the model which helps setting the design concept deduction creatively by instigating new ways of thought. The concept development process suggested in the study procedure systemizes the course for creative web design concept deduction and expects it to be utilized in design development to reinforce competitiveness.

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Smart Farm Control System for Improving Energy Efficiency (에너지 효율 향상을 위한 스마트팜 제어 시스템)

  • Choi, Minseok
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.331-337
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    • 2021
  • The adaptation of smartfarm technology that converges ICT is increasing productivity and competitiveness in the agriculture. Technologies have been developed that enable environmental monitoring through various sensors and automatic control of the cultivation environment, and researches are underway to advance smartfarm technology using data generated from smartfarms. In this paper, an environmental control method to reduce the energy consumption of a smartfarm by using the environment and control data of the smartfarm is proposed. It was confirmed that energy consumption could be reduced compared to an independent environmental control method by creating an environmental prediction model using accumulated environmental data and selecting a control method to minimize energy consumption in a given situation by considering multiple environmental factors. In the future, research is needed to obtain higher energy efficiency through the advancement of the predictive model and the improvement of the complex control algorithms.

Equal Energy Consumption Routing Protocol Algorithm Based on Q-Learning for Extending the Lifespan of Ad-Hoc Sensor Network (애드혹 센서 네트워크 수명 연장을 위한 Q-러닝 기반 에너지 균등 소비 라우팅 프로토콜 기법)

  • Kim, Ki Sang;Kim, Sung Wook
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.10
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    • pp.269-276
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    • 2021
  • Recently, smart sensors are used in various environments, and the implementation of ad-hoc sensor networks (ASNs) is a hot research topic. Unfortunately, traditional sensor network routing algorithms focus on specific control issues, and they can't be directly applied to the ASN operation. In this paper, we propose a new routing protocol by using the Q-learning technology, Main challenge of proposed approach is to extend the life of ASNs through efficient energy allocation while obtaining the balanced system performance. The proposed method enhances the Q-learning effect by considering various environmental factors. When a transmission fails, node penalty is accumulated to increase the successful communication probability. Especially, each node stores the Q value of the adjacent node in its own Q table. Every time a data transfer is executed, the Q values are updated and accumulated to learn to select the optimal routing route. Simulation results confirm that the proposed method can choose an energy-efficient routing path, and gets an excellent network performance compared with the existing ASN routing protocols.