• Title/Summary/Keyword: 온라인영상

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The Effect of Smoking Prevention and Smoking Cessation Program using Smoking Cessation Supporters on the Smoking Knowledge and Beliefs and Self-efficacy of Smoking Cessation of Nursing Students (금연서포터즈를 활용한 흡연예방 및 금연프로그램이 간호대학생의 흡연 지식 및 신념, 금연 자기효능감에 미치는 효과)

  • Kim, Hye-Suk;Choi, Eun-Young
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.305-312
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    • 2021
  • This study was conducted to evaluate the effect of smoking prevention smoking cessation program using smoking cessation supporters on the smoking knowledge and beliefs and self-efficacy of smoking cessation of nursing students. The smoking prevention and smoking cessation program developed for this study consisted of general education on smoking (8 times for 30 minutes each time) and the activities of college student smoking cessation supporters. The 30 college student smoking cessation supporters consisted of 6 people per team, a total of 5 teams, and conducted online video promotions by team, smoking cessation promotion and campaign activities, recruiting and mentoring for smoking cessation challengers. As a result of the study, smoking prevention and smoking cessation programs using smoking cessation supporters were effective in increasing nursing students' smoking knowledge and changing their beliefs about smoking negatively. In particular, by understanding the awareness and overall situation of smoking among nursing students, and operating a smoking prevention and smoking cessation program, it made them realize that smoking prevention and secondhand smoke among non-smokers are threatening the health of others. It contributed to the spread of the smoking cessation culture in the university by providing a way to motivate people to quit smoking and to maintain their success in quitting smoking.

Effect of Education about Blockchain Technology on Trust, Security, and Technology Acceptance Model of Virtual Assets (블록체인 기술에 대한 교육이 가상자산에 대한 신뢰, 보안성 및 기술수용모형에 미치는 영향)

  • Oh, SoYun;Han, KwangHee
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.675-683
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    • 2022
  • Blockchain, which is the basis of virtual assets such as cryptocurrency, is receiving great attention as one of the cornerstone technologies of the 4th industrial revolution. Blockchain is a technology that can fundamentally change our lives not only in finance, but also in politics, logistics, and culture. However, it shows lower-than-expected usability because it is complicated to learn and is continuously being developed. In this study, we tried to investigate whether the Technology Acceptance Model(TAM) of virtual assets can be changed through education on the underlying technology, blockchain. A video-based online experiment was conducted with a total of 103 participants and examined how the type of training(positive, negative) and measurement timing(before, after) affect perceived usefulness, perceived ease of use, acceptance, which are TAM variables, and trust and security, which are related to blockchain characteristics. As a result of the experiment, interactions were found in all dependent variables according to the type of education and measurement timing. Specifically, groups that received negative education had no difference in all variables before and after, but it was found that groups that received positive education showed an increase afterwards. Through this, it can be seen that the effect of education based on the anchoring effect is also shown in the intention to use virtual assets using block chain technology, suggesting that the intention to use blockchain related technology can be increased through positive education.

A Case Study on Flipped Learning Methods in 'The History of Science 'Liberal Arts Class for Undergraduate Students (플립러닝을 적용한 '과학사의 이해' 교양 수업 사례 연구)

  • Heejin Oh
    • Journal of Science Education
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    • v.46 no.3
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    • pp.312-325
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    • 2022
  • This study aims to provide a science history content system necessary in the course design process of liberal arts subjects, along with the application of flip learning in liberal arts science classes for humanities and social sciences students. For the research, we analyzed the current state of the liberal arts and history of science classes at universities. Then we developed the 'Understanding the History of Science' subject by applying the flip learning method through the analysis of various previous studies. As the goal of science history lectures that can reach the essential purposes of science liberal arts education, including knowledge acquisition and strengthening various competencies, scientific attitude cultivation was set, and the content system of week 15 was designed to consider this. The four topics corresponding to the "History of Science" part of the "Understanding Science History" content system consisted of flipped learning classes and teaching and learning activities, including online video materials and group discussion activities. As a result of opening courses for students in the humanities and social sciences and operating classes for 56 college students, it was confirmed that students' interest and awareness of science increased. This study provides educational evidence for science history and liberal arts education.

The Development and Application of Non-Face-to-Face Wearable Technology Curriculum Activities: Improving Creative Convergence Learning Competency of College Students (대학생의 창의융합 학습역량 향상을 위한 비대면 웨어러블 테크놀로지 교육과정 활동의 개발과 적용)

  • Lee, Ji Sun;Yun, Eunju;Kim, Min-Jeong;Kim, Hye Rim;Lim, Ho-Sun;Kim, Yoonmi
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.327-338
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    • 2023
  • The purpose of this study is to develop and apply curriculum activities using non-face-to-face wearable technology in a pandemic situation. It is to improve the creative convergence learning ability of college students. Based on the results of 5 preliminary studies, 8 courses were conducted for 16 university students at A University in Seoul. In conclusion, real-time non-face-to-face interaction with professional professors in each field played a major role in improving the creative convergence learning competency of college students. This point shows the possibility of future-oriented creative convergence talent development along with the expandability of wearable technology in university education.

A study on the Revitalization of Traditional Market with Smart Platform (스마트 플랫폼을 이용한 전통시장 활성화 방안 연구)

  • Park, Jung Ho;Choi, EunYoung
    • Journal of Service Research and Studies
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    • v.13 no.1
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    • pp.127-143
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    • 2023
  • Currently, the domestic traditional market has not escaped the swamp of stagnation that began in the early 2000s despite various projects promoted by many related players such as the central government and local governments. In order to overcome the crisis faced by the traditional market, various R&Ds have recently been conducted on how to build a smart traditional market that combines information and communication technologies such as big data analysis, artificial intelligence, and the Internet of Things. This study analyzes various previous studies, users of traditional markets, and application cases of ICT technology in foreign traditional markets since 2012 and proposes a model to build a smart traditional market using ICT technology based on the analysis. The model proposed in this study includes building a traditional market metaverse that can interact with visitors, certifying visits to traditional markets through digital signage with NFC technology, improving accuracy of fire detection functions using IoT and AI technology, developing smartphone apps for market launch information and event notification, and an e-commerce system. If a smart traditional market platform is implemented and operated based on the smart traditional market platform model presented in this study, it will not only draw interest in the traditional market to MZ generation and foreigners, but also contribute to revitalizing the traditional market in the future.

An Analysis Study on the Current Status and Integration Methods of the Domestic Early Warning System (국내 재난 예경보 시스템 현황 및 통합 방안에 대한 분석 연구)

  • Hwang, Woosuk;Pyo, Kyungsoo
    • Journal of Broadcast Engineering
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    • v.27 no.1
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    • pp.80-90
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    • 2022
  • Currently, the domestic early warning system is issued differently for each disaster, and is operated independently by relevant organizations from central government to local governments. Representative domestic disaster warning systems include disaster broadcasting using CBS(Cell Broadcasting Service) and DMB(Digital Multimedia Broadcasting) Automatic Emergency Alert Service, DITS(Disaster Information Transform System) transmitted and displayed on TV screens, automatic response system, automated rainfall warning system, and disaster message board. However, due to the difference in the method of issuing each emergency alert at the site of an emergency disaster, the alerts are issued at different times for each media, and the delivered content is also not integrated. If these systems are integrated, it is expected that damage to people's property and lives will be minimized by sharing and integrated management of disaster information such as voice, video, and data to comprehensively judge and make decisions about disaster situations. Therefore, in this study, we present a plan for the integration of the disaster warning system along with the analysis of the operation status of the domestic early warning system.

A study of utilizing key components in game trailer production - Focusing on production case of trailer "Thanatos" - (핵심 구성 요소를 활용한 게임 트레일러 제작에 대한연구 - 게임 트레일러 '타나토스' 제작 사례를 중심으로 -)

  • Jiang, HaiTao;Yun, TaeSoo;Lee, ByungChun;Lee, JeongGi
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.3
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    • pp.19-31
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    • 2016
  • Game Trailer plays the role of main marketing for promotion of game. Recently, the characteristic can be summarized as storytelling, graphics method, production technology, and game mechanics of 3D Game Trailer. Online game was produced as cinematic trailer in the beginning, but recently, in-game trailer has been produced as machinima production method for users. This method reveals functions, various contents, and graphics related to the game through trailer, and it is useful in giving information and curiosity related to the game. Machinima composes background and characters in a short period of time online due to recent 3D CG methods, and only dubbing needs to be proceeded. This saves production fee and production period, and it also has the advantage of having multi-story. Game trailer Thanatos is a video developed through machinima production method. This paper proposes production process and the importance of the key components of the whole project through the above four aspects to be used in the actual production stage by intuitively apply and analysis.

Current status of site observations for evapotranspiration and soil moisture content in the K-water dam watershed (K-water 댐 유역 증발산량 및 토양수분량 관측 현황)

  • Cho, Younghyun;Kang, Tae Ho;Lee, Young Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.67-67
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    • 2022
  • 국가 물관리 측면에서 증발산량과 토양수분량은 자연계 손실로서 국내 수자원 총량의 약43%(563억 m3/년)를 차지하며, 수자원의 계획과 개발, 물순환 과정 규명 및 다양한 수재해 분석 등을 위한 수문 요소이다. 정부는 2005년 「수문조사 선진화 5개년 계획」과 2008년 「제1차 수문조사기본계획(2010~2019년)」을 통해 2019년까지 증발산량과 토양수분량 관측소 확대(각각 25개 지점) 기반을 마련하였고 「수자원의 조사·계획 및 관리에 관한 법률」에 따라 매년 공인 수문 자료로 증발산량과 토양수분량을 측정하고 있다. 증발산량과 토양수분량은 댐 유역의 정밀한 물순환 해석에도 매우 중요한 정보로서 현재 K-water에서의 관측은 일부 시험유역(용담댐 유역)의 flux tower에 의한 에디공분산법(Eddy Covariance Method) 및 토양수분 센서(TDR, Time Domain Reflectometery)에 의한 지점 자료의 생산만 각각 이루어지고 있다. 본 연구에서는 K-water 댐 유역의 증발산량 및 토양수분량 관측 현황과 그간 관측된 자료의 특성을 각종 경향성 분석 등과 함께 소개하고자 한다, 증발산량의 경우는 2개소의 flux tower를운영(덕유산 지점 2011년 이후, 용담 지점 2017년 이후)하고 있으며, 토양수분량은 총 7개소(계북, 천천, 상전, 안천, 부귀, 주천 지점 2013년 이후, 장계 지점 2017년 이후)에 TDR센서를 설치, 계측 운영 중이다. 이렇게 관측된 자료는 매년 홍수통제소 주관 관련 전문가 공인심사를 통해 일자료 기준으로 한국수문조사연보에 수록되고 있으며, K-water에서도 연보를 통해 공개된 자료를 기준으로 공공데이터포털(data.go.kr) 등과 연계하여 온라인 자료 서비스 중이다. 한편, 최근 2020년 「제2차 수문조사 기본계획(2020~2029년)」에서는 수자원 위성 개발연구와 연계하여 위성을 활용한 증발산량과 토양수분량 산정 연구의 필요성이 강조되고 있다. 하지만 본 연구에서 살펴본 지점 자료만으로는 댐 유역을 포함한 광역단위의 시계열 공간정보를 생산하기 한계가 있으며, 댐 유역과 국내 전 지역의 공간 시계열 증발산량 및 토양수분량 자료 산정과 활용 방안에 대해 정립하고, 나아가 위성영상을 활용한 댐 유역 증발산량·토양수분량 관측 가이드라인 마련 등을 위해서는 국가적으로 많은 재원의 투입과 노력이 필요한 상황이다.

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Demand for the Radiological Technologist Independent Act for the Performance of the Duties of a Radiological Technologist (방사선사 직무수행을 위한 방사선사 단독법 제정에 대한 요구도)

  • Kim, Eun-Hye;Lim, Cheong-Hwan;Lim, Woo-Taek;Joo, Young-Cheol;Hong, Dong-Hee;Jung, Hong-Ryang;Moon, Young-Ju;Kim, Hoon;Jung, Young-Jin;Choi, Ji-Won;Yoon, Yong-Su;Cho, Pyong-Kon;Park, Myeong-Hwan;Yang, Oh-Nam;Jeong, Bong-Jae
    • Journal of radiological science and technology
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    • v.44 no.5
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    • pp.525-534
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    • 2021
  • In order to provide high-quality medical services to the public and contribute to the improvement of public health, it is necessary to enact an independent law according to the work of radiological technologists. Therefore, this study intends to review the regulations related to radiographers in the Medical Service Technologists, etc. Act. and to present opinions and directions for enactment of individual laws for radiological technologists. An online survey was conducted to 15,000 radiological technologists working in medical institutions and education sites in Korea; 1,027 people (6.85%) responded. The questionnaire consisted of 3 questions on demographic characteristics, 5 questions on the scope of work, and 12 questions on the revision of the Medical Service Technologists, etc. Act. and the establishment of the Radiological Technologist Independent Act. Reliability and factor analysis were performed on 9 questions measured on a Likert 5-point scale in "Revision of the Medical Service Technologists, etc. Act. and the establishment of the Radiological echnologist Independent Act" among the questionnaire items. Reliability for the total 9 questions was Chronbach α=0.728. There was a high perception that the regulations related to radiological technologists were insufficient in the current Medical Service Technologists, etc. Act., and the perception that examinations performed by radiological technologists at medical institutions were included in medical practice was high. If the Radiological Technologist Independent Act is enforced, a high percentage of respondents said that they could receive legal protection through the institutionalization of the scope of work, that the status of radiological technologists would be improved, and the scope of work would be expanded. The response that the scope of work of radiological technologists should be included was the highest at 96.6%. In the analysis according to demographic characteristics, it was found that 96.7% of the respondents were agreed regardless of the factors. Radiological technologists will have to work hard to secure the public health by coping with new radiology devices, procedures and treatment methods. Therefore, as the results of this study, it is expected that the enactment and implementation of the Radiological Technologist Independent Act will contribute to the improvement of the quality of treatment for patients and to the public health.

Business Application of Convolutional Neural Networks for Apparel Classification Using Runway Image (합성곱 신경망의 비지니스 응용: 런웨이 이미지를 사용한 의류 분류를 중심으로)

  • Seo, Yian;Shin, Kyung-shik
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.1-19
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    • 2018
  • Large amount of data is now available for research and business sectors to extract knowledge from it. This data can be in the form of unstructured data such as audio, text, and image data and can be analyzed by deep learning methodology. Deep learning is now widely used for various estimation, classification, and prediction problems. Especially, fashion business adopts deep learning techniques for apparel recognition, apparel search and retrieval engine, and automatic product recommendation. The core model of these applications is the image classification using Convolutional Neural Networks (CNN). CNN is made up of neurons which learn parameters such as weights while inputs come through and reach outputs. CNN has layer structure which is best suited for image classification as it is comprised of convolutional layer for generating feature maps, pooling layer for reducing the dimensionality of feature maps, and fully-connected layer for classifying the extracted features. However, most of the classification models have been trained using online product image, which is taken under controlled situation such as apparel image itself or professional model wearing apparel. This image may not be an effective way to train the classification model considering the situation when one might want to classify street fashion image or walking image, which is taken in uncontrolled situation and involves people's movement and unexpected pose. Therefore, we propose to train the model with runway apparel image dataset which captures mobility. This will allow the classification model to be trained with far more variable data and enhance the adaptation with diverse query image. To achieve both convergence and generalization of the model, we apply Transfer Learning on our training network. As Transfer Learning in CNN is composed of pre-training and fine-tuning stages, we divide the training step into two. First, we pre-train our architecture with large-scale dataset, ImageNet dataset, which consists of 1.2 million images with 1000 categories including animals, plants, activities, materials, instrumentations, scenes, and foods. We use GoogLeNet for our main architecture as it has achieved great accuracy with efficiency in ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Second, we fine-tune the network with our own runway image dataset. For the runway image dataset, we could not find any previously and publicly made dataset, so we collect the dataset from Google Image Search attaining 2426 images of 32 major fashion brands including Anna Molinari, Balenciaga, Balmain, Brioni, Burberry, Celine, Chanel, Chloe, Christian Dior, Cividini, Dolce and Gabbana, Emilio Pucci, Ermenegildo, Fendi, Giuliana Teso, Gucci, Issey Miyake, Kenzo, Leonard, Louis Vuitton, Marc Jacobs, Marni, Max Mara, Missoni, Moschino, Ralph Lauren, Roberto Cavalli, Sonia Rykiel, Stella McCartney, Valentino, Versace, and Yve Saint Laurent. We perform 10-folded experiments to consider the random generation of training data, and our proposed model has achieved accuracy of 67.2% on final test. Our research suggests several advantages over previous related studies as to our best knowledge, there haven't been any previous studies which trained the network for apparel image classification based on runway image dataset. We suggest the idea of training model with image capturing all the possible postures, which is denoted as mobility, by using our own runway apparel image dataset. Moreover, by applying Transfer Learning and using checkpoint and parameters provided by Tensorflow Slim, we could save time spent on training the classification model as taking 6 minutes per experiment to train the classifier. This model can be used in many business applications where the query image can be runway image, product image, or street fashion image. To be specific, runway query image can be used for mobile application service during fashion week to facilitate brand search, street style query image can be classified during fashion editorial task to classify and label the brand or style, and website query image can be processed by e-commerce multi-complex service providing item information or recommending similar item.