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Restoration of Missing Data in Satellite-Observed Sea Surface Temperature using Deep Learning Techniques (딥러닝 기법을 활용한 위성 관측 해수면 온도 자료의 결측부 복원에 관한 연구)

  • Won-Been Park;Heung-Bae Choi;Myeong-Soo Han;Ho-Sik Um;Yong-Sik Song
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.6
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    • pp.536-542
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    • 2023
  • Satellites represent cutting-edge technology, of ering significant advantages in spatial and temporal observations. National agencies worldwide harness satellite data to respond to marine accidents and analyze ocean fluctuations effectively. However, challenges arise with high-resolution satellite-based sea surface temperature data (Operational Sea Surface Temperature and Sea Ice Analysis, OSTIA), where gaps or empty areas may occur due to satellite instrumentation, geographical errors, and cloud cover. These issues can take several hours to rectify. This study addressed the issue of missing OSTIA data by employing LaMa, the latest deep learning-based algorithm. We evaluated its performance by comparing it to three existing image processing techniques. The results of this evaluation, using the coefficient of determination (R2) and mean absolute error (MAE) values, demonstrated the superior performance of the LaMa algorithm. It consistently achieved R2 values of 0.9 or higher and kept MAE values under 0.5 ℃ or less. This outperformed the traditional methods, including bilinear interpolation, bicubic interpolation, and DeepFill v1 techniques. We plan to evaluate the feasibility of integrating the LaMa technique into an operational satellite data provision system.

The Method of Multi-screen Service using Scene Composition Technology based on HTML5 (HTML5 기반 장면구성 기술을 통한 멀티스크린 서비스 제공 방법)

  • Jo, Minwoo;Kim, Kyuheon
    • Journal of Broadcast Engineering
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    • v.18 no.6
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    • pp.895-910
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    • 2013
  • Multi-screen service is a service that consumes more than one media in a number of terminals simultaneously or discriminately. This multi-screen service has become useful due to distribute of smart TV and terminals. Also, in case of hybrid broadcasting environment that is convergence of broadcasting and communication environment, it is able to provide various user experience through contents consumed by multiple screens. In hybrid broadcasting environment, scene composition technology can be used as an element technology for multi-screen service. Using scene composition technology, multiple media can be consumed complexly through the specified presentation time and space. Thus, multi-screen service based on the scene composition technology can provide spatial and temporal control and consumption of multiple media by linkage between the terminals. However, existing scene composition technologies are not able to use easily in hybrid broadcasting because of applicable environmental constraints, the difficulty in applying the various terminal and complexity. For this problems, HTML5 can be considered. HTML5 is expected to be applied in various smart terminals commonly, and provides consumption of diverse media. So, in this paper, it proposes the scene composition and multi-screen service technology based on HTML5 that is expected be used in various smart terminals providing hybrid broadcasting environment. For this, it includes the introduction in terms of HTML5 and multi-screen service, the method of providing information related with scene composition and multi-screen service through the extention of elements and attributes in HTML5, media signaling between terminals and the method of synchronization. In addition, the proposed scene composition and multi-screen service technology based on HTML5 was verified through the implementation and experiment.

Prediction of Expected Residual Useful Life of Rubble-Mound Breakwaters Using Stochastic Gamma Process (추계학적 감마 확률과정을 이용한 경사제의 기대 잔류유효수명 예측)

  • Lee, Cheol-Eung
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.31 no.3
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    • pp.158-169
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    • 2019
  • A probabilistic model that can predict the residual useful lifetime of structure is formulated by using the gamma process which is one of the stochastic processes. The formulated stochastic model can take into account both the sampling uncertainty associated with damages measured up to now and the temporal uncertainty of cumulative damage over time. A method estimating several parameters of stochastic model is additionally proposed by introducing of the least square method and the method of moments, so that the age of a structure, the operational environment, and the evolution of damage with time can be considered. Some features related to the residual useful lifetime are firstly investigated into through the sensitivity analysis on parameters under a simple setting of single damage data measured at the current age. The stochastic model are then applied to the rubble-mound breakwater straightforwardly. The parameters of gamma process can be estimated for several experimental data on the damage processes of armor rocks of rubble-mound breakwater. The expected damage levels over time, which are numerically simulated with the estimated parameters, are in very good agreement with those from the flume testing. It has been found from various numerical calculations that the probabilities exceeding the failure limit are converged to the constraint that the model must be satisfied after lasting for a long time from now. Meanwhile, the expected residual useful lifetimes evaluated from the failure probabilities are seen to be different with respect to the behavior of damage history. As the coefficient of variation of cumulative damage is becoming large, in particular, it has been shown that the expected residual useful lifetimes have significant discrepancies from those of the deterministic regression model. This is mainly due to the effect of sampling and temporal uncertainties associated with damage, by which the first time to failure tends to be widely distributed. Therefore, the stochastic model presented in this paper for predicting the residual useful lifetime of structure can properly implement the probabilistic assessment on current damage state of structure as well as take account of the temporal uncertainty of future cumulative damage.

Physicochemical Properties and Composition of Ginsenosides in Red Ginseng Extract as Revealed by Subcritical Water Extraction (아임계수 추출에 의한 홍삼 추출물의 진세노사이드 조성 및 이화학적 특성)

  • Lee, Joo-Mi;Ko, Min-Jung;Chung, Myong-Soo
    • Korean Journal of Food Science and Technology
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    • v.47 no.6
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    • pp.757-764
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    • 2015
  • Red ginseng was treated by subcritical water extraction (SWE) whose two parameters were the extraction temperature ($105-150^{\circ}C$) and time (5-20 min) under a high pressure. The oBrix value, solid content, color difference, and turbidity of the red ginseng extract increased with increasing extraction time and temperature, while the pH decreased. The total concentration of ginsenosides in the red ginseng extract was maximal at $120^{\circ}C$ and 20 min. The concentrations of ginsenosides Rg3 and Rh1 were maximal at $150^{\circ}C$ and 15 min. The concentrations of Rg3 and Rh1 were respectively 3.5-5 times and 2-2.5 times higher than those treated by conventional extraction methods with hot water, ethanol, and methanol. SWE is a particularly effective method for the selective extraction of less-polar ginsenosides such as Rg3 which is well known to exert strong anticancer effects.

The Necessary Conditions and Deterring Factors of Good Care (좋은 돌봄의 필요조건과 저해요인에 관한 연구 - 노인돌봄을 중심으로 -)

  • Seok, Jaeeun;Noh, Hyejin;Lim, Jeonggi
    • Korean Journal of Social Welfare
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    • v.67 no.3
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    • pp.203-225
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    • 2015
  • Social care service has grown much with the introduction of Long-Term Care Insurance, but it remains difficult to answer in the affirmative to the question: are we providing sufficiently good care? This study has its purpose in figuring out what conditions are necessary to realize good care in our society. The study has used focus group interview (FGI) as a way to acquire realistic knowledge on the conditions that create good care and its deterring factors. The focus group interview, which targeted long-term care workers and facility heads, was conducted three times from January through March 2014, with each session taking about 3 hours. The analysis showed that the components of good care were mutual understanding and recognition through active interaction, making a good relationship based on mutual trust and respect, professionalism of care worker with flexible judgment that provides customized services, professionalism of center manager with appropriate intermediation, and the tripartite partnership among family, elderly, and care worker. Meanwhile, the deterring factors of good care were identified as devaluation of care labor, ambiguous job description and abuse, unprofessionalism of care worker and manager, inappropriate interference and indifference of family, and the structural constraints on long-term care environment.

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The Effects of 'Healthy Family Relationship' Class of Home Economics Based on Design Thinking on the Improvement of Empathy Ability of the Middle School Student (디자인씽킹에 기반한 가정교과 '건강한 가족 관계' 수업이 중학생의 공감능력 향상에 미치는 영향)

  • Kang, Bo Ram;Park, Mi Jeong
    • Journal of Korean Home Economics Education Association
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    • v.33 no.3
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    • pp.65-84
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    • 2021
  • In this study, a program was developed and implemented for middle school students in the 'Healthy Family Relations' of the home economics based on design thinking process. The purpose was to investigate whether a significant difference is displayed in terms of empathy ability improvement among middle school students. For this purpose, a "Wise 'stay-at-home' life" program comprised of five class sessions was developed based on design thinking process. The program was implemented to male and female students in the second year of middle school, and students' empathy ability was examined by a pre- and post-test comparison. As a result, the developed program was found to have generated a significant improvement in cognitive empathy among middle school students. In addition, the students' satisfaction with the class was generally positive. In particular, many students mentioned that they were interested in activities such as 'empathizing through Instagram' and 'creating a sub-character'. However, there also was an opinion that the lesson activities were difficult to complete due to the lack of time and restrictions on cooperative activities due to COVID-19. In this research, we developed a program that can be used in both face-to-face and non-face-to-face situations in order to flexibly deal with situations where the learning environment changes due to COVID-19. And this research is significant particularly in that it confirmed that home economics have a positive influence on improving middle school students' empathy ability, particularly the cognitive factor of empathy.

A Survey of Yeosu Sado Dinosaur Tracksite and Utilization of Educational Materials using 3D Photogrammetry (3D 사진측량법을 이용한 여수 사도 공룡발자국 화석산지 조사 및 교육자료 활용방안)

  • Jo, Hyemin;Hong, Minsun;Son, Jongju;Lee, Hyun-Yeong;Park, Kyeong-Beom;Jung, Jongyun;Huh, Min
    • Journal of the Korean earth science society
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    • v.42 no.6
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    • pp.662-676
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    • 2021
  • The Yeosu Sado dinosaur tracksite is well known for many dinosaur tracks and research on the gregarious behavior of dinosaurs. In addition, various geological and geographical heritage sites are distributed on Sado Island. However, educational field trips for students are very limited due to accessibility according to its geological location, time constraints due to tides, and continuous weathering and damage. Therefore, this study aims to generate 3D models and images of dinosaur tracks using the photogrammetric method, which has recently been used in various fields, and then discuss the possibility of using them as paleontological research and educational contents. As a result of checking the obtained 3D images and models, it was possible to confirm the existence of footprints that were not previously discovered or could not represent details by naked eyes or photos. Even previously discovered tracks could possibly present details using 3D images that could not be expressed by photos or interpretive drawings. In addition, the 3D model of dinosaur tracks can be preserved as semi-permanent data, enabling various forms of utilization and preservation. Here we apply 3D printing and mobile augmented reality content using photogrammetric 3D models for a virtual field trip, and these models acquired by photogrammetry can be used in various educational content fields that require 3D models.

A Cost-Efficient Job Scheduling Algorithm in Cloud Resource Broker with Scalable VM Allocation Scheme (클라우드 자원 브로커에서 확장성 있는 가상 머신 할당 기법을 이용한 비용 적응형 작업 스케쥴링 알고리즘)

  • Ren, Ye;Kim, Seong-Hwan;Kang, Dong-Ki;Kim, Byung-Sang;Youn, Chan-Hyun
    • KIPS Transactions on Software and Data Engineering
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    • v.1 no.3
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    • pp.137-148
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    • 2012
  • Cloud service users request dedicated virtual computing resource from the cloud service provider to process jobs in independent environment from other users. To optimize this process with automated method, in this paper we proposed a framework for workflow scheduling in the cloud environment, in which the core component is the middleware called broker mediating the interaction between users and cloud service providers. To process jobs in on-demand and virtualized resources from cloud service providers, many papers propose scheduling algorithms that allocate jobs to virtual machines which are dedicated to one machine one job. With this method, the isolation of being processed jobs is guaranteed, but we can't use each resource to its fullest computing capacity with high efficiency in resource utilization. This paper therefore proposed a cost-efficient job scheduling algorithm which maximizes the utilization of managed resources with increasing the degree of multiprogramming to reduce the number of needed virtual machines; consequently we can save the cost for processing requests. We also consider the performance degradation in proposed scheme with thrashing and context switching. By evaluating the experimental results, we have shown that the proposed scheme has better cost-performance feature compared to an existing scheme.

Perceptions of Elementary Teachers on Teaching Science-Arts Integrated Activities (과학-예술통합 활동에 대한 초등학교 교사들의 인식)

  • Mun, Jiyeong;Song, Joo-Yeon;Kim, Sung-Won
    • Journal of The Korean Association For Science Education
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    • v.33 no.5
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    • pp.1007-1020
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    • 2013
  • This study investigated the perceptions and the characteristics of elementary teachers on teaching science-arts integrated activities. Twelve elementary teachers who have taught in the third to sixth grade science lessons participated in this study. Data was collected by individual interviews lasting 60 to 90 minutes. Interview questions were composed of three aspects: 1) how elementary teachers perceive science-arts integrated activities, 2) in what ways elementary teachers address science-arts integrated activities, and 3) what difficulties elementary teachers experienced in addressing science-arts integrated activities. The results showed that, first, elementary teachers agreed that science-arts integrated activities have educational value in science learning. Second, most teachers focused on improving understanding of science knowledge through teaching science-arts integrated activities, while several teachers put emphasis on having experience of arts as well as understanding of science knowledge. And third, teachers experienced difficulties due to insufficient teaching materials and time to prepare for teaching science-arts integrated activities. Based on the results, we suggested educational implications for utilization of science-arts integrated activities in elementary education.

Case study of Google Classroom in Mongolian University (몽골 대학에서 구글크레스룸 적용 사례 적용)

  • Natsagdorj, Bayarmaa;Lee, Kuensoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.1
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    • pp.184-188
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    • 2019
  • The purpose of this paper is to investigate the effectiveness of Google Classroom (GC) and to examine the satisfaction of professors using GC as an online environment at a Mongolian University. Fourteen professors designed the lecture model and provided lessons using GC at D University for four weeks. GC provides new learning opportunities that are more efficient than face-to-face learning, because it can overcome the limitations of time and space. The results of the survey conducted with the professors who participated in the class to explore the effectiveness of GC show that the system provides: cooperation: 100% (strongly agree=7, Agree=7), personal learning opportunity: 100% (strongly agree=10, Agree=4), ease in learning: 100% (strongly agree=11, Agree=3), suitability: 100% (strongly agree=8, Agree=6), feedback opportunities: 100% (strongly agree=7, Agree=7), connection: 100% (strongly agree=7, Agree=7), accessibility: 100% (strongly agree=7, Agree=7), learning effectiveness: 100% (strongly agree=9, Agree=5), paperless experience: 100% (strongly agree=8, Agree=6). The professors who attended the class reacted positively to the use of GC, proving that the application of GC at this Mongolian University was appropriate and efficient. The use of GC is expected to help educational institutions strengthen and improve online learning, especially by breaking from traditional learning, and opening new paths for professors and students in Mongolia.