• Title/Summary/Keyword: structured

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A Classical Molecular Dynamics Study of the Mg2+ Coordination in Todorokite (토도로카이트 내 Mg2+ 배위구조에 대한 고전분자동력학 연구)

  • Kim, Juhyeok;Lee, Jin-Yong;Kwon, Kideok D.
    • Journal of the Mineralogical Society of Korea
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    • v.32 no.3
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    • pp.151-162
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    • 2019
  • Todorokite, a tunnel-structured manganese oxide, can contain cations within the relatively large nanopores created by the $3{\times}3$ Mn octahedra. Because todorokite is poorly crystalline and found as aggregates mixed with other phases of Mn oxides in nature, the coordination structure of cations in the nanopores is challenging to fully characterize in experiment. In the current article, we report the atomistic coordination structures of $Mg^{2+}$ ions in todorokite tunnel nanopores using the classical molecular dynamics (MD) simulations. In experiment, $Mg^{2+}$ is known to occupy the center of the nanopores. In our MD simulations, 60 % of $Mg^{2+}$ ions were located at the center of the nanopores; 40 % of the ions were found at the corners. All $Mg^{2+}$ located at the center formed the six-fold coordination with water molecules, just as the ion in bulk aqueous solution. $Mg^{2+}$ ions at the corners also formed the six-fold coordination with not only water molecules but also Mn octahedral surface oxygens. The mean squared displacements were calculated to examine the dynamic features of $Mg^{2+}$ ions in the one-dimensional (1D) nanopores. Our MD simulations indicate that the dynamic features of water molecules and the cations observed in bulk aqueous solution are lost in the 1D nanopores of todorokite.

A Study on the Liner Shipping Network of the Container Port (세계 주요 정기선사의 항만네트워크에 관한 연구)

  • Kang, Dongjoon;Bang, Heeseok;Woo, Suhan
    • Journal of Korea Port Economic Association
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    • v.30 no.1
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    • pp.73-96
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    • 2014
  • Competitiveness of container ports has been traditionally evaluated by capability of individual ports to provide services to customers or their service quality. However, since container ports are connected by container shipping networks to varying degrees, the status of the ports in liner shipping service networks also determines competitiveness of the ports. Sometimes same ports may play different roles in different forms of shipping networks. Shipping network connections that formulate in container ports therefore have more significant impact on their performance than service capabilities they have. This study aims to explore how the shipping and port network has been structured and changed in the past and to examine the network characteristics of ports using Social Network Analysis(SNA). In this SNA study, nodes in the network are the ports-of-call of the liner shipping services and links in the network are connections realized by vessel movements, such that the liner shipping networks determine the port networks. This study, therefore, investigates the liner shipping networks and through its results demonstrates the network characteristics of the ports that are represented by the four centrality indices. This provides port authorities and terminal operating companies with managerial implications to enhance competitiveness from customers' perspectives.

Evaluation of SWMM Snow-melt Module to Secure Bi-Modal Tram Operation (바이모달 트램 운행 안전성 확보를 위한 SWMM 융설 모듈 적용성 평가)

  • Kim, Jong-Gun;Park, Young-Kon;Yoon, Hee-Taek;Park, Youn-Shik;Jang, Won-Seok;Yoo, Dong-Seon;Lim, Kyoung-Jae
    • Journal of the Korean Society for Railway
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    • v.11 no.5
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    • pp.441-448
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    • 2008
  • Increasing urban sprawl and climate changes have been causing unexpected high-intensity rainfall events. Thus there are needs to enhance conventional disaster management system for comprehensive actions to secure safety. Therefore long-term and comprehensive flood management plans need to be well established. Recently torrential snowfall are occurring frequently, causing have snow traffic jams on the road. To secure safety and on-time operation of the Bi-modal tram system, well-structured disaster management system capable of analyzing the show pack melt/freezing due to unexpected snowfall are needed. To secure safety of the Bi-modal tram system due to torrential snow-fall, the snow melt simulation capability was investigated. The snow accumulation and snow melt were measured to validate the SWMM snow melt component. It showed that there was a good agreement between measured snow melt data and the simulated ones. Therefore, the Bi-modal tram disaster management system will be able to predict snow melt reasonably well to secure safety of the Bi-modal tram system during the winter. The Bi-modal tram disaster management system can be used to identify top priority area for know removal within the tram route in case of torrential snowfall to secure on-time operation of the tram. Also it can be used for detour route in the tram networks based on the disaster management system prediction.

DeNERT: Named Entity Recognition Model using DQN and BERT

  • Yang, Sung-Min;Jeong, Ok-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.29-35
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    • 2020
  • In this paper, we propose a new structured entity recognition DeNERT model. Recently, the field of natural language processing has been actively researched using pre-trained language representation models with a large amount of corpus. In particular, the named entity recognition, which is one of the fields of natural language processing, uses a supervised learning method, which requires a large amount of training dataset and computation. Reinforcement learning is a method that learns through trial and error experience without initial data and is closer to the process of human learning than other machine learning methodologies and is not much applied to the field of natural language processing yet. It is often used in simulation environments such as Atari games and AlphaGo. BERT is a general-purpose language model developed by Google that is pre-trained on large corpus and computational quantities. Recently, it is a language model that shows high performance in the field of natural language processing research and shows high accuracy in many downstream tasks of natural language processing. In this paper, we propose a new named entity recognition DeNERT model using two deep learning models, DQN and BERT. The proposed model is trained by creating a learning environment of reinforcement learning model based on language expression which is the advantage of the general language model. The DeNERT model trained in this way is a faster inference time and higher performance model with a small amount of training dataset. Also, we validate the performance of our model's named entity recognition performance through experiments.

Analysis of related words for each private security service through collection of unstructured data

  • Park, Su-Hyeon;Cho, Cheol-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.6
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    • pp.219-224
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    • 2020
  • The purpose of this study is mainly to provide theoretical basis of private security industry by analyzing the perception and flow of private security from the press-released materials according to periodic classification and duties through 'Big Kinds', a website of analyzing news big data. The research method has been changed to structured data to allow an analysis of various scattered unstructured data, and the keywords trend and related words by duties of private security were analyzed in growth period of private security. The perception of private security based on the results of the study was exposed a lot by the media through various crimes, accidents and incidents, and the issues related permanent position. Also, it tended to be perceived as a simple security guard, not recognized as the area of private security, and judging from the high correlation between private security and police, it was recognized not only as a role to assist the police force, but also as a common agent in charge of the public peace. Therefore, it should objectively judge the perception of private security, and through this, it is believed that it should be a foundation for recognizing private security as a main agent responsible for the safety of the nation and maintaining social orders.

Pre-service Teachers' Development of Science Teacher Identity via Planning, Enacting and Reflecting Inquiry-based Biology Instruction (예비교사들의 과학 교사 정체성 형성 -생명과학 탐구 수업 시연 및 반성 과정을 중심으로-)

  • An, Jieun;Kim, Heui-Baik
    • Journal of The Korean Association For Science Education
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    • v.41 no.6
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    • pp.519-531
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    • 2021
  • This study investigates the science teacher identity of pre-service science teachers (PSTs) in the context of a teaching practice course. Twenty-two PSTs who took the 'Biological Science Lab. for Inquiry Learning' course at the College of Education participated in this study. Artifacts created during the course were collected, and the teaching practices and reflections were recorded and transcribed. In addition, semi-structured interviews were conducted with nine PSTs, recorded, and transcribed. We found the science teacher identity was not well revealed at the beginning of the course. Authoritative discourse appeared in the early oral reflections of PSTs, indicating that the PSTs perceived oral reflection activities as 'evaluation activities for teaching practice'. This perception shows that pre-service teachers participate in teaching practice courses as students attending a university, performing tasks and receiving evaluations from instructors. After the middle of the course, discourses showing the science teacher identity of the PSTs were observed. In the oral reflection after the middle part, dialogic discourses often arose, showing that the PSTs perceive the oral reflection activities as a 'learning activity for professional development'. In addition, in the second half, discourse appeared to connect and interpret one's experience with the teacher's activity, indicating that the PSTs perceive themselves as teachers at this stage. In addition, the perception of experimental classes was expanded through the course. During the course, the practice of equalizing the authority of the participants, providing a role model for reflection, and experiencing various positions from multiple viewpoints in the class had a positive effect on the formation and continuation of the teacher identity. This study provides implications on the teacher education process for teacher identity formation in PSTs.

The effect of affecting Dietary Self-Efficacy and Physical Activity Self-Efficacy on Health-Promoting Lifestyle in school-age obese children (학령기 비만아동의 식이자기효능감과 운동자기효능감이 생활습관에 미치는 영향)

  • Ryu, Hyun-Sook;Cho, In-Sook
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.4
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    • pp.941-950
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    • 2021
  • This study was conducted to identify the factors affecting the health-promoting lifestyle of the school-age obese children. Method: Data Collection for this study was conducted form July 20 to August 2, 2019 using a structured questionnaire. We analyzed the collected data by frequency, percentage, ANOVA, t-test, Pearson's Correlation Coefficient, and Multiple Regression Analysis. Results: The factors affecting the health-promoting lifestyle of the subjects, multiple regression analysis results showed that Dietary Self-Efficacy(𝛽=.406, p=.001), Physical Activity Self-Efficacy(𝛽=.245, p=.038), Furthermore, the F statistics for the fitness of the estimated regression model were 6.34(p<.001), which was significant. The explanatory power was 24.2%. Conclusion: The results of this study showed that Dietary Self-Efficacy and Physical Activity Self-Efficacy of the school-age obese children was the most influential factor on health-promoting lifestyle. Consequently, the results of this study suggest that it is necessary to find ways to improve Dietary Self-Efficacy and Physical Activity Self-Efficacy in order to improve health-promoting lifestyle of nurses, and it is considered to be useful as basic data for developing intervention programs to improve health-promoting lifestyle.

Science Education Experts' Perception of the Remote Laboratory Sessions Provoked by COVID-19 (COVID-19으로 인해 촉발된 원격 실험 수업에 대한 과학교육 전문가들의 인식)

  • Lee, Gyeong-Geon;Hong, Hun-Gi
    • Journal of The Korean Association For Science Education
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    • v.41 no.5
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    • pp.391-400
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    • 2021
  • This study investigated science education experts' perception of remote laboratory sessions (RLS) provoked by the COVID-19 pandemic. We conducted a total of 10 semi-structured interviews with experts in physics, chemistry, biology, and earth science education. As a result, science education experts primarily understood the RLS concerning pre-service teacher education and reconsidered the aim and goal of conventional laboratory education. On practices of RLS provoked by the COVID-19, they pointed out the learning loss due to deficiency of hands-on experience, decreased interactions between instructor and students, and instructors' increased burden. Meanwhile, they contemplated upon their adaptive implementation of RLS to suggest ways to improve RLS instruction and directions of post-COVID-19 science education. We recommend that RLS should be understood as a complemented version of minds-on teaching rather than a degraded version of hands-on teaching to elicit its full potentials. This study has its own significance providing an in-depth science educational perspective interpreting the RLS phenomena.

Structurization in Community Composition and Diversity Pattern of Soil Seed Banks in Gwangneung Forest, South Korea (한국 광릉숲 매토종자에서 군집 종조성 및 다양성 양상의 구조화)

  • Kim, Han-Gyeol;Oh, Seung-Hwan;Cho, Yong-Chan
    • Journal of Korean Society of Forest Science
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    • v.110 no.4
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    • pp.577-589
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    • 2021
  • Soil seed bank community contributes to the long-term conservation of plant diversity and vegetation dynamics, and their decreasing diversity and density with soil depth provide critical perspectives (deterministic and stochastic) for understanding the community disassembly process. We analyzed changes in species composition and diversity and structuring patterns by soil layer (top and bottom), including surface vegetation, in Gwangneung Forest, a mature forest with a vegetation climate in the temperate central part of the Korean Peninsula. From two layers of soil collected with a vertical difference of 10 cm, 934 specimens of 27 families, 40 genera, 44 species, three varieties, and 47 taxa, germinated. Although species diversity and germination density decreased in most comparative characteristics, including growth type, there was no statistical significance due to large deviations. Within-group variability of species composition was similar in the upper and lower soils, as was the decline pattern in co-occurred species (ζ-diversity) and change in species retention probability. The structuring process of the community composition in the two soil layers was fitted with an exponential correlation rather than a power function, demonstrating the dominance of the stochastic process. The pattern in diversity and species turnover according to soil depth in Gwangneung Forest was discovered to be structured by stochastic random events, such as seed vertical movement rather than interaction with trait characteristics.

Analysis of Argumentation Levels in Preservice Earth Science Teachers, Lesson Plans (예비 지구과학 교사의 교수학습지도안에 나타난 논증 수준 분석)

  • Park, Won-Mi;Kwak, Youngsun
    • Journal of the Korean Society of Earth Science Education
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    • v.14 no.2
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    • pp.123-135
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    • 2021
  • In this study, we apply a lesson design process using an argumentation structure to preservice earth science teachers and analyzed argumentation levels displayed in the lesson plans written by preservice teachers in the process. As a result of the study, the preservice teachers designed a logically structured lesson by reflecting more argumentation components in the final lesson plan than the first one. In addition, in the case of lesson topics in which all argumentation elements were not explicitly presented in textbooks or curriculum, preservice teachers could not clearly reflect some argumentation components in the lesson plan. The conclusions and implications based on the results are as follows: First, it is necessary to use the argumentation structure as a tool to design logical science lessons, considering that argumentation levels of lesson plans written by preservice science teachers were improved by using argumentation structures in instructional design. Next, it is necessary to cultivate the preservice science teacher's ability to reconstruct the curriculum for science lesson design using the argumentation structure since argumentation levels of lesson plans written by preservice science teachers were limited to the argumentation components presented in the textbook and curriculum. Additionally, it is necessary to develop and apply a preservice teacher education program that uses the argumentation structure in the context of actual teaching activities so that preservice science teachers can not only understand argumentation but also improve their class expertise.