• Title/Summary/Keyword: key learning element

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Promotive Factors, Roles Analysis and Implications of Community Organization in Rural Areas in Sight of the Regional Innovation System Theory: focusing on the Case of "Songakdongnesaramdeul", a Social Cooperative Located in Asan City (지역혁신체제론 관점에서의 농촌지역 주민공동체조직 형성 촉진요인과 역할 분석 및 시사점: 아산시 사회적협동조합 '송악동네사람들' 사례를 중심으로)

  • Ko, Kyoung-Ho
    • Korean Journal of Organic Agriculture
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    • v.28 no.4
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    • pp.505-534
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    • 2020
  • The purpose of this study is to explore the key elements of the regional innovative milieu by analyzing the role of regional innovative elements and case organizations that promoted the emergence of 'Songakdongnesaramdeul (the people of the Songak town),' and to present pertinent policy implications. For the purpose, this study set the "Songakdongnesaramdeul," a residential community organization founded for regional innovation to revitalize the village community, as a case organization from the perspective of regional innovation system theory. The result of the study showed that creating an innovative milieu through the creation of various innovation elements to revitalize the village community is crucial. Especially, this study confirmed that the existence of regional development organizations is the key element of the innovative milieu. such as case organization that contributes to regional development while promoting interaction between actors, common learning and systemization, and new value creation activities. The implications derived through the study can be summarized in four points. First, a variety of means to promote the formation of subjects in response to the public debate of the village agenda is needed. Second, it is highly important to create innovative elements, for example, organizations and programs, resources, and spaces that promote regional innovation. Third, forming a close network between various innovative resources existing in the region and establishing regional capabilities that allow to mobilize and utilize such innovative resources are important. Fourth, the establishment of a promotion mechanism such as a case organization is suggested as a major task, to revitalize the village community. Specifically, forming and revitalizing numerous private-based community organizations with regional developmental capabilities to establish local governance also has significant importance. In this vein, based on the point of view of the regional innovation system theory, the establishment of regional policies to construct a regional innovation milieu, such as creating innovative elements that can actively promote the regeneration of the village community and establishing a promotion system, can be presented as major tasks.

A vibration-based approach for detecting arch dam damage using RBF neural networks and Jaya algorithms

  • Ali Zar;Zahoor Hussain;Muhammad Akbar;Bassam A. Tayeh;Zhibin Lin
    • Smart Structures and Systems
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    • v.32 no.5
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    • pp.319-338
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    • 2023
  • The study presents a new hybrid data-driven method by combining radial basis functions neural networks (RBF-NN) with the Jaya algorithm (JA) to provide effective structural health monitoring of arch dams. The novelty of this approach lies in that only one user-defined parameter is required and thus can increase its effectiveness and efficiency, as compared to other machine learning techniques that often require processing a large amount of training and testing model parameters and hyper-parameters, with high time-consuming. This approach seeks rapid damage detection in arch dams under dynamic conditions, to prevent potential disasters, by utilizing the RBF-NNN to seamlessly integrate the dynamic elastic modulus (DEM) and modal parameters (such as natural frequency and mode shape) as damage indicators. To determine the dynamic characteristics of the arch dam, the JA sequentially optimizes an objective function rooted in vibration-based data sets. Two case studies of hyperbolic concrete arch dams were carefully designed using finite element simulation to demonstrate the effectiveness of the RBF-NN model, in conjunction with the Jaya algorithm. The testing results demonstrated that the proposed methods could exhibit significant computational time-savings, while effectively detecting damage in arch dam structures with complex nonlinearities. Furthermore, despite training data contaminated with a high level of noise, the RBF-NN and JA fusion remained the robustness, with high accuracy.

A Study on Developing and Validating Core Competencies for Gifted Education Based on Delphi Technique (델파이 조사를 통한 영재교육 핵심역량 개발 및 타당화 연구)

  • Park, Hye-Jin;Cha, Seung-Bong;Kim, Yong-Young
    • Journal of the Korea Convergence Society
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    • v.12 no.11
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    • pp.319-328
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    • 2021
  • The purpose of this study is to develop core competencies for gifted education by utilizing Delphi survey methods and to present behavioral element selection and scale questions based on the definition of competencies. First, the core competence for gifted education was selected through literature analysis, and the first Delphi survey was conducted to verify that the definition of each competency is suitable for the competency name. Subsequently, through a second Delphi survey, detailed questions were developed and verified by expressing the capabilities required to develop core competencies as behavior elements. Through two rounds of Delphi surveys, eight key competencies were finally selected: attitude and practice willingness, communication and collaboration, information processing and tool utilization, creative problem solving, convergence and application, higher-order inference, community spirit, and learning achievement orientation. This study is meaningful in that it selects core competencies and behavior elements for gifted education that are necessary to pursue goals that meet social needs and it presents tools to measure the degree of competency improvement for gifted education.

A Study on A Deep Learning Algorithm to Predict Printed Spot Colors (딥러닝 알고리즘을 이용한 인쇄된 별색 잉크의 색상 예측 연구)

  • Jun, Su Hyeon;Park, Jae Sang;Tae, Hyun Chul
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.2
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    • pp.48-55
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    • 2022
  • The color image of the brand comes first and is an important visual element that leads consumers to the consumption of the product. To express more effectively what the brand wants to convey through design, the printing market is striving to print accurate colors that match the intention. In 'offset printing' mainly used in printing, colors are often printed in CMYK (Cyan, Magenta, Yellow, Key) colors. However, it is possible to print more accurate colors by making ink of the desired color instead of dotting CMYK colors. The resulting ink is called 'spot color' ink. Spot color ink is manufactured by repeating the process of mixing the existing inks. In this repetition of trial and error, the manufacturing cost of ink increases, resulting in economic loss, and environmental pollution is caused by wasted inks. In this study, a deep learning algorithm to predict printed spot colors was designed to solve this problem. The algorithm uses a single DNN (Deep Neural Network) model to predict printed spot colors based on the information of the paper and the proportions of inks to mix. More than 8,000 spot color ink data were used for learning, and all color was quantified by dividing the visible light wavelength range into 31 sections and the reflectance for each section. The proposed algorithm predicted more than 80% of spot color inks as very similar colors. The average value of the calculated difference between the actual color and the predicted color through 'Delta E' provided by CIE is 5.29. It is known that when Delta E is less than 10, it is difficult to distinguish the difference in printed color with the naked eye. The algorithm of this study has a more accurate prediction ability than previous studies, and it can be added flexibly even when new inks are added. This can be usefully used in real industrial sites, and it will reduce the attempts of the operator by checking the color of ink in a virtual environment. This will reduce the manufacturing cost of spot color inks and lead to improved working conditions for workers. In addition, it is expected to contribute to solving the environmental pollution problem by reducing unnecessarily wasted ink.

The Effects of ALP Model-Applied Science Class on Elementary Students' Scientific Communication Skills (ALP 모형을 적용한 과학 수업이 초등학생의 과학적 의사소통능력에 미치는 영향)

  • Ha, Ji-hoon;Shin, Young-joon
    • Journal of The Korean Association For Science Education
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    • v.37 no.6
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    • pp.1025-1035
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    • 2017
  • The purposes of this study are to analyze the merits and limits of flipped learning by suggesting the ALP model for efficient application and to test the effects of the new ALP model. The process of new model and program development is based on ADDIE in this study. This study consists of two steps. First through literature research on the difficulties of the flipped learning, the elements are extracted to develop new model. Second, these elements were placed according to the teaching and learning flow, which resulted in the procedures. As a result, the ALP model was developed. The ALP model is a new model for applying teaching and learning methods for efficient application of the flipped learning. This model was applied to elementary science classes to test its effects in scientific communication skill. Interviews and cognitive survey were also conducted to collect additional information. The results of this study are as follows: There were various difficulties in flipped learning. Based on literature research results, the ALP model and the science programs for elementary students have been developed. The experimental group showed statistically meaningful improvement in scientific communication skill. The scientific communication skill has two subcategories: the forms and the types. According to the form analysis results, the experimental group showed a statistically meaningful improvement in the form of Table and Picture, but not in the form of Writing and Number. With the same reason given previously, this study confirmed that the application of ALP model improves the students' visual form communication skills such as Table and Picture better than reading form communication skills such as Writing and Number. According to the type analysis results, the experimental group showed a statistically meaningful improvement in "the scientific insistence" type, and "the justification" which is the sub element of "the scientific insistence" type. With this reason, this study suggests that the class applied ALP model gives students more time and opportunities to learn. Though the survey and interviews about the student's awareness of the class with applied the ALP model, this study showed that students actively exchanged their opinions in the class with applied ALP model.

Making a Technological Catch-up: Barriers and Opportunities

  • Lee, Keun
    • Journal of Technology Innovation
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    • v.13 no.2
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    • pp.97-131
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    • 2005
  • This paper has discussed several issues regarding the barriers and opportunities for technological catch-up by the late-comer countries and firms. As one of the barriers to technological catch-up, the paper emphasizes the uncertainty involved with the third stage of learning how to design. The barriers arise because as the forerunner firms refuse to sell or give license to successful catching-up firms who thus have to design the product by themselves. The paper discusses how to overcome this barrier. It also notes that if the crisis of design technology is a push factor for leapfrogging, arrival of new techno-economic paradigm can serve as a pull factor for leapfrogging, serving as a winder of opportunity. The, it emphasized the two risks with leapfrogging, namely the risk of choosing right technology or standards and the risk of creating initial markets, and how to overcome these risks. It discusses how to overcome these risks in leapfrogging, and differentiates diverse forms of knowledge accesses. Then, the paper takes up the issue of whether there can be a single common or several models for catch-up. A common element of catching-up is to enter new markets segments quickly, to manufacture with high levels of engineering excellence, and to be first-to-market by means of the best integrative designs. This observation is supported by the fact that Korea and Taiwan has achieved higher levels of technological capabilities in such sectors as featured by short cycle time of technology. The possibility of two alternative models for catch-up is also discussed in terms of the key difference between Korean and Taiwan, especially in the position toward the source of foreign knowledge and the paths taken toward the final goal of OBM. Taiwan followed the sequential steps of OEM, ODM and OBN, in collaboration or integration with the MNCs. Korean chaebols jumped from OEM directly to OBM even without consolidating design technology.

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The Importance of Moral Education from Sincerity in Doctrine of the Mean (『中庸』 「誠論」 對品德敎育之重要性)

  • Lee, Hsing-yuan
    • Journal of Korean Philosophical Society
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    • v.144
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    • pp.17-31
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    • 2017
  • In the beginning of the 21st century, UNESCO (The United Nations Educational, Scientific and Cultural Organization) thinks the key to the battle is "morality," and thus proposes the norm of ethic, morals and values. Not only have countries all over the world responded to the proposal, but we in Taiwan are also involved in the campaign, hoping through the new movement, the deviant values are to be modified. "Doctrine of the mean" is the best essence in Confucianism when it comes to the idea of government ruling by a virtuous king, who possesses sincerity, a crucial element to inspire better character. Moral teachings nowadays emphasize the fact that a person should own ethic virtue and behave accordingly. Only via constant practice and training can people obtain sincerity and virtues in the learning process, in which Confucianists rely mostly on self-discipline while more tactics are applied to modern education.

Optimised neural network prediction of interface bond strength for GFRP tendon reinforced cemented soil

  • Zhang, Genbao;Chen, Changfu;Zhang, Yuhao;Zhao, Hongchao;Wang, Yufei;Wang, Xiangyu
    • Geomechanics and Engineering
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    • v.28 no.6
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    • pp.599-611
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    • 2022
  • Tendon reinforced cemented soil is applied extensively in foundation stabilisation and improvement, especially in areas with soft clay. To solve the deterioration problem led by steel corrosion, the glass fiber-reinforced polymer (GFRP) tendon is introduced to substitute the traditional steel tendon. The interface bond strength between the cemented soil matrix and GFRP tendon demonstrates the outstanding mechanical property of this composite. However, the lack of research between the influence factors and bond strength hinders the application. To evaluate these factors, back propagation neural network (BPNN) is applied to predict the relationship between them and bond strength. Since adjusting BPNN parameters is time-consuming and laborious, the particle swarm optimisation (PSO) algorithm is proposed. This study evaluated the influence of water content, cement content, curing time, and slip distance on the bond performance of GFRP tendon-reinforced cemented soils (GTRCS). The results showed that the ultimate and residual bond strengths were both in positive proportion to cement content and negative to water content. The sample cured for 28 days with 30% water content and 50% cement content had the largest ultimate strength (3879.40 kPa). The PSO-BPNN model was tuned with 3 neurons in the input layer, 10 in the hidden layer, and 1 in the output layer. It showed outstanding performance on a large database comprising 405 testing results. Its higher correlation coefficient (0.908) and lower root-mean-square error (239.11 kPa) were obtained compared to multiple linear regression (MLR) and logistic regression (LR). In addition, a sensitivity analysis was applied to acquire the ranking of the input variables. The results illustrated that the cement content performed the strongest influence on bond strength, followed by the water content and slip displacement.

Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence

  • Nari Kim;Eun Sung Lee;Sang Eun Won;Mihyun Yang;Amy Junghyun Lee;Youngbin Shin;Yousun Ko;Junhee Pyo;Hyo Jung Park;Kyung Won, Kim
    • Korean Journal of Radiology
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    • v.23 no.11
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    • pp.1089-1101
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    • 2022
  • Immunotherapy has revolutionized and opened a new paradigm for cancer treatment. In the era of immunotherapy and molecular targeted therapy, precision medicine has gained emphasis, and an early response assessment is a key element of this approach. Treatment response assessment for immunotherapy is challenging for radiologists because of the rapid development of immunotherapeutic agents, from immune checkpoint inhibitors to chimeric antigen receptor-T cells, with which many radiologists may not be familiar, and the atypical responses to therapy, such as pseudoprogression and hyperprogression. Therefore, new response assessment methods such as immune response assessment, functional/molecular imaging biomarkers, and artificial intelligence (including radiomics and machine learning approaches) have been developed and investigated. Radiologists should be aware of recent trends in immunotherapy development and new response assessment methods.

Effect of the Dental Hygienics Students' $2{\times}2$ Achievement Target Orientation on the Self-Regulated Learning (치위생과 학생의 $2{\times}2$ 성취목표지향성이 자기조절학습에 미치는 영향)

  • Jung, Gi-Ok;Choi, Gyu-Yil
    • Journal of dental hygiene science
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    • v.12 no.4
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    • pp.375-382
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    • 2012
  • This research will target the Dental Hygienics students to identify the level and type of the $2{\times}2$ achievement target orientation, and will study how this achievement target orientation is related to the Self-Regulated Learning, as well as the effect on the each sub elements of the Self-Regulated Learning (SRL). Among the $2{\times}2$ achievement target orientation of all the female university students, the skillful approach was found to be highest. In case of the adjustment of the motivation following grade, intrinsic value of the 1st grader was higher than the intrinsic value of the 2nd and 3rd graders. As for the behavior adjustment, the 3rd grader's time and studying adjustment were found to be higher. Mean while, pursuit of the cooperation was found to be high compared to the time and studying adjustment of the1st and 2nd graders. Second, intrinsic value, overt goal orientation, and studying environment adjustment among the SRL's subelements, manifested significant correlation with all the sub elements of the $2{\times}2$ achievement target orientation. As for the elements that affected cognition adjustment, grade and skillful approach were found to exert significant effect on the performance adjustment. As for the element that affects behavior adjustment, grade and skillful approach exerted significant effect on the sub elements of the behavior adjustment. Analysis on the effect of the achievement target orientation and SRL implies that the direction of the students' learning goal can be modified and that they can learn effectively by using the SRL appropriately. When the two elements are factored in carefully, the key findings could serve as a base data that can motivate the students, inducing effective learning process.