• Journal of Construction Engineering and Project Management
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• v.7 no.3
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• pp.26-38
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• 2017

The architecture, engineering, and construction (AEC) industry is yet to formulate a holistic strategy to realign the evolving technological infrastructures with organisational ambitions and adaptive knowledge of the workforce. This study attempts to create an understanding of the underlying processes adopted by technology-enhanced construction organisations to disseminate and maintain knowledge within the workforce in order to keep pace with the evolving construction technologies. The study adopted expansive learning and adaptive expertise constructs to help better explain workplace learning support structures for organisational effectiveness in a turbulent situation. The two theories were tailored to empirically evaluate three case study construction organisations that have embarked on technology-enabled organisational changes. The study concluded on the creation of a facilitating workplace learning environment to enable the workforce to adapt into and resolve any inherent contradictions and cognitive ambiguities of the changing organisational conditions. This could ensure that novel and conflicting features of the emerging technologies can be adapted across the myriad multi-functional project activities in order to expand the frontiers of the technological capabilities to address the eminent issues confronting the AEC sector.

• ETRI Journal
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• v.39 no.4
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• pp.443-454
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• 2017

In this paper, we propose a fine-grained mobile application clustering model using retrofitted document embedding. To automatically determine the clusters and their numbers with no predefined categories, the proposed model initializes the clusters based on title keywords and then merges similar clusters. For improved clustering performance, the proposed model distinguishes between an accurate clustering step with titles and an expansive clustering step with descriptions. During the accurate clustering step, an automatically tagged set is constructed as a result. This set is utilized to learn a high-performance document vector. During the expansive clustering step, more applications are then classified using this document vector. Experimental results showed that the purity of the proposed model increased by 0.19, and the entropy decreased by 1.18, compared with the K-means algorithm. In addition, the mean average precision improved by more than 0.09 in a comparison with a support vector machine classifier.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.1146-1151
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• 2006

The railway industry came at specialization of railway, high speedization and internationalization age recently. For this national railway technology competitive power of improve and need human strength training through special and expansive railway education that can meet in change. Also, request about professional manpower of other wide field by internationalization beside existing railway major person, pointed end anger is judged to be increased. Will present education system improvement way that can grope activation of education for specialization and internationalization of railway human strength through research of railway e-learning education in this research.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.50.2-50.2
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• 2020

The dark matter (DM) only simulations have been exploited to study e.g. the large scale structures and properties of a halo. In a baryon side, the high-resolution hydrodynamic simulation such as IllustrisTNG has helped extend the physics of gas along with stars and DM. However, the expansive computational cost of hydrodynamic simulations limits the size of a simulated universe whereas DM-only simulations can generate the universe of the cosmological horizon size approximately. I will introduce a pipeline to estimate baryonic properties of a galaxy inside a dark matter (DM) halo in DM-only simulations using a machine trained on high-resolution hydrodynamic simulations. An extremely randomized tree (ERT) algorithm is used together with multiple novel improvements such as a refined error function in machine training and two-stage learning. By applying our machine to the DM-only simulation of a large volume, I then validate the pipeline that rapidly generates a galaxy catalog from a DM halo catalog using the correlations the machine found in hydrodynamic simulations. I will discuss the benefits that machine-based approaches like this entail, as well as suggestions to raise the scientific potential of such approaches.

• Journal of The Korean Digital Architecture Interior Association
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• v.2 no.1
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• pp.32-38
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• 2002

Hanyang woman's college educational facility general planning presents "Long-term and expansive space organization plan" of Hanyang woman's collage to correspond to sudden decline and "Globalization specialization" of "Matriculation competition rate by school age decrease in population" but there is primary purpose. To detailed item, secure "Flexibility of campus space by learning environment change" and studies and examines "Campus ashes construction plan by step by new earth purchase" we wish to propose "Long-term and systematic synthesis master plan" and "Newly-appointed official and present official new construction plan".

• Geomechanics and Engineering
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• v.11 no.3
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• pp.361-372
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• 2016

The soil-concrete interface shear strength, although has been extensively studied, is still difficult to predict as a result of the dependence on many factors such as normal stresses, surface roughness, particle sizes, moisture contents, dilation angles of soils, etc. In this study, a well-known rigorous statistical learning approach, namely the least squares support vector machine (LS-SVM) realized in a ubiquitous spreadsheet platform is firstly used in estimating the soil-structure interface shear strength. Instead of studying the complicated mechanism, LS-SVM enables to explore the possible link between the fundamental factors and the interface shear strengths, via a sophisticated statistic approach. As a preliminary investigation, the authors study the expansive soils that are found extensively in most countries. To reduce the complexity, three major influential factors, e.g., initial moisture contents, initial dry densities and normal stresses of soils are taken into account in developing the LS-SVM models for the soil-concrete interface shear strengths. The predicted results by LS-SVM show reasonably good agreement with experimental data from direct shear tests.

• Journal of Soil and Groundwater Environment
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• v.21 no.4
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• pp.30-41
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• 2016

The amount of groundwater related data is drastically increasing domestically from various sources since 2000. To justify the more expansive continuation of the data acquisition and to derive valuable implications from the data, continued employments of sophisticated and state-of-the-arts statistical tools in the analyses and predictions are important issue. In the present study, we employed a well established machine learning technique of Gaussian Process Regression (GPR) model in the trend analyses of groundwater level for the long-term change. The major benefit of GPR model is that the model provide not only the future predictions but also the associated uncertainty. In the study, the long-term predictions of groundwater level from the stations of National Groundwater Monitoring Network located within Han River Basin were exemplified as prediction cases based on the GPR model. In addition, a few types of groundwater change patterns were delineated (i.e., increasing, decreasing, and no trend) on the basis of the statistics acquired from GPR analyses. From the study, it was found that the majority of the monitoring stations has decreasing trend while small portion shows increasing or no trend. To further analyze the causes of the trend, the corresponding precipitation data were jointly analyzed by the same method (i.e., GPR). Based on the analyses, the major cause of decreasing trend of groundwater level is attributed to reduction of precipitation rate whereas a few of the stations show weak relationship between the pattern of groundwater level changes and precipitation.

• Korean Journal of Child Studies
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• v.3
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• pp.83-96
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• 1982

TV has a very strong influence on various aspects of children's life and development. In view of this influence, various problems related to the content and production of TV programs for early - childhood deserve a careful study. Recognizant of this significance, this study aims to suggest the direction in which the production of TV programs for early childhood in Korea will steer by defining the concept of TV programs for early childhood and by analyzing the current status and trends of producting TV program for early childhood at abroad. In this study, attempts were made to suggest some strategies for the production of TV programs for early childhood based on an expansive literature review. 1. The running time of TV programs for early-childhood ages of 4-5 year old is suggested to be 15 minutes. 2. In the process of producing the programs, a group of professionals including in-service teachers, researchers specializing in child development, psychology and sociology, idea-creators, script writers, media experts, producers, and monitors should provide concerted efforts throughout the process. 3. The running time of TV programs for early-childhood should be less than 20 minutes and therefore should have simple learning objectives. 4. The contents of programs should be organized in such a way as to enable children to view themselves as well as the environment in more positive ways and to fester desirable values and beliefs in them based on various constructive activities and plays. 5. The programs should adopt various techniques including repetition, to ensure the maximum learning effect in full consideration of children's interest. 6. The programs should be continuously revised and supplemented based on the evaluation of the programs, children's responses and monitor's feedbacks.

• Proceedings of the Korean Society for Environmental Edudation Conference
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• 2003.07a
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• pp.50-56
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• 2003

＃1 The Education from our Environment, The urgent subject for survival and prosperity in the future. - Around Yamaguchi in japan. - ＃2 Days of tour : January, 15, 2003 - January, 28, 2003 ＊ Comprehensive classes involved in ecosystems; Ryojo Elementary school, Guina Elementary school, Dabusei Junior High School, Ube Technical High School, Yashiro Elementary School, Toyota Nishi Junior High School, Seii Elementary School, Yamaguchi Prefectural School for the Mentally Impaired, Yamaguchi Institute for Educational Research and In-service Training, Kirara Beach Nature Watching Park ＃3 Characteristics of Yamaguchi Prefectural Environmental Education - Constant effort by concerned authorities and dedicated teachers - Cooperation of schools with community - Application of the comprehensive classes - Student-centered education through experiences - Acquirement of basic knowledge on environment in their daily lives - The harmony with the ability to survive' ＃4 Characteristics of the environmental education in each school $\square$ Ryojo Elementary School \longrightarrow Breeding the fireflies' larvae and releasing them into nature $\square$ Kuina Elementary School \longrightarrow Keeping the rivers clean $\square$ Yashiro Elementary School \longrightarrow Learning through exploring ‘Akiyoshido Cave’ $\square$ Seii Elementary School \longrightarrow Tree-planting campaign continued for 30 years $\square$ Tabuse Junior High School \longrightarrow Making their village good to live in $\square$ Toyota-Nishi Junior High School \longrightarrow Learning through working on the farm and in the forests $\square$ Ube Technical High School \longrightarrow Purifying the pond by the ‘biotope’ ＃5 Focus on Yashiro Elementary School \longrightarrow Children Guide Activity (25 hours annually) * To love their native place and tourists' attraction, Akiyoshidal * To introduce a variety of local events; - To make a fire in the mountains - To explore the cave - To hold a festival for tourists - To have a family-jointed bike riding ＃6 $\square$ conclusion - Gradual extension of environmental education * individuals \longrightarrow school \longrightarrow community - Finding the environmental problems around themselves and relating them with features of their community < Tips for the environmental education in the future > - Need for encouragement of more lively discussion in class - Expansive application of comprehensive classes to various areas

• Journal of Science Education
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• v.47 no.1
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• pp.107-116
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• 2023

Concerns related to diversity are important throughout society, especially in the context of expansive globalization. In education, diversity-related issues require careful consideration to ensure social groups that have historically been marginalized benefit from educational opportunities. In this study, we investigated a case from within the United States aimed at addressing diversity issues in schools and discuss the implications of this study in relation to diversity issues in Korea. More specifically, we examined the features of the professional development program designed and implemented by the Smithsonian Science Education Center, as well as survey results from teachers who participated between 2019-2020. Our findings revealed that the program provided participants context specific experiences, space and time to develop an in-depth understandings of the causes of diversity issues and supports to attend to the various perspectives needed to set specific goals and action plans and to examine, refine, and revise their plans. Further, features of the professional development program had meaningful effects on participants' learning experience as they were supported to identify useful proposals and take action to solve their specific diversity issues. The findings from this study offer important implications for designing professional development and organizing supports to address varied current and future diversity issues in Korean school contexts.