• KIEAE Journal
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• v.17 no.3
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• pp.75-81
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• 2017

Purpose: The energy consumption of apartment units is affected by the lifestyle of the residents rather than system technology. In this study the numerical analysis of assumed energy consumption correlation factors with arbitrary value due to uncertainty. It is intended to be used as a simulation correction value which can be utilized as a predicted value of actual energy usage. The correction value of the simulation is set in the developed form of the existing process that derives the actual usage amount. The simulation results used in the existing evaluation system are used to maintain the useful value as the current system evaluation scale and predict the actual capacity. Method: The method of the study is to statistically analyze the data frames of all complexes capable of collecting the annual energy usage and to reconstruct the population by adding the variables that are expected to be correlated. Repeat the data frame configuration with variables that are assumed to be highly correlated with energy use levels. Determine whether there is correlation or not. The intensity of the external characteristics of the building equipment related to the energy consumption is presented as the quantitative value. Result: The correlation between electricity consumption and trading price since 2010 is analyzed as (Correlation coefficient 0.82). These results are higher than (Correlation coefficient 0.79), which is the correlation between residential area and trading price. This paper signifies the starting point of the methodology that broadens the field of view of verification of simulation feasibility limited to the prediction technique focused on the simulation tool and the element technology scope.The diversified phenomenon reproduction method develops the existing energy simulation method.It can be completed with a simulation methodology that can infer actual energy consumption.

• Journal of the Korea Institute of Building Construction
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• v.18 no.3
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• pp.295-303
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• 2018

In the DBB delivery system, the design stage and the construction stage are separated. Because of this, design changes frequently occur, and problems such as construction cost overrun, schedule delay, and quality deterioration happen as well. Recently, in the construction industry CM at Risk(CM@R) delivery system, which can systematically solve the above-mentioned problems of DBB delivery system, meet various demands of clients, and overcome the limited cost and period. In the CM@R delivery system, the contractor negotiates for a maximum guaranteed price(GMP) with the client at the design stage, and the CM performer carries out the construction within the GMP. However, uncertainties are inherent in the GMP calculation because the calculation is based on unfinished drawings and documents. In this study, a Probabilistic Earlier GMP Calculation Method by combining a probabilistic tool of Monte Carlo simulation with a case based reasoning is proposed so that the uncertainty in GMP calculation is reflected. After the earlier GMP is calculated, a process to calculate the $2^{nd}$ GMP at the time of around 80 % of detailed deign and to negotiate with the client to fix the final GMP is proposed. The Probabilistic Earlier GMP Calculation Method is verified through the case study. In this study, researchers set the range of GMP through the proposed probabilistic GMP calculation and tried to reduce the risk through negotiation between the client and the CM performer. The proposed method and process would contribute to the successful introduction of CM@R in Korea.

• Journal of the Korea Institute of Building Construction
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• v.22 no.6
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• pp.543-551
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• 2022

The mechanical performance and vibration damping ratio performance of a specimen according to the polymer mixing rate were evaluated for polymer modified mortar. As a polymer, Styrene Butadiene Rubber(SBR) liquid polymer with a solid content of about 49~51% was used, and the polymer content was increased by liquid 5%. The specimen was 40*40*160(mm), and after curing, compressive strength, flexural strength, and vibration damping ratio were measured using the ultrasonic pulse method. As a result, it was found that the compressive strength decreased as the polymer was mixed, but the flexural strength was increased. The vibration damping ratio increased by 11% at 5% polymer, 28% at 10% polymer, 33% at 15% polymer, and 72 at 20% polymer. I was found that the incorporation of the polymer was very effective to reduce the vibration of the mortar. In addition, through SEM and SEM-EDS analysis, it is determined that the cause of vibration reduction due to polymer mixing is that the polymer film formed in the transition zone of aggregate and internal voids buffered the vibration of the mortar inside. Taken together, in the scope of this study, the appropriate polymer mixing ratio for reducing the vibration of mortar is judged to be about 7.5%.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.45-55
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• 2022

BIM models allow building spaces to be instantiated and recognized as unique objects independently of model elements. These instantiated spaces provide the required semantics that can be leveraged for building code checking, energy analysis, and evacuation route analysis. However, theses spaces or rooms need to be designated manually, which in practice, lead to errors and omissions. Thus, most BIM models today does not guarantee the semantic integrity of space designations, limiting their potential applicability. Recent studies have explored ways to automate space allocation in BIM models using artificial intelligence algorithms, but they are limited in their scope and relatively low classification accuracy. This study explored the use of Graph Convolutional Networks, an algorithm exclusively tailored for graph data structures. The goal was to utilize not only geometry information but also the semantic relational data between spaces and elements in the BIM model. Results of the study confirmed that the accuracy was improved by about 8% compared to algorithms that only used geometric distinctions of the individual spaces.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.483-494
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• 2024

This study is a study on influencing factors to derive considerations when establishing a large drone integrated protection system targeting important national facilities. Currently, drone protection is implemented by piecemeal installation of drone protection equipment developed on the market in response to the needs of government agencies, the military, and national important facilities. For this reason, there is a waste of resources, such as duplicate installation or overlapping operation of equipment, and institutional and legal problems between operations are emerging. Accordingly, we sought to identify factors influencing the establishment of an efficient and systematic anti-drone protection system targeting national important facilities. Considering the research purpose and scope, this study derived 3 influencing factors and 12 detailed influencing factors through case analysis, protection theory research, and analysis of related laws. If the results of this study are used as considerations when building an integrated anti-drone protection system in the future, all national defense elements will be integrated and systematic integrated anti-drone protection will be possible according to their respective roles. In addition, it will provide a theoretical foundation for building an integrated anti-drone protection system. The results of this study are valuable in that they present logical and systematic influencing factors for establishing an integrated anti-drone protection system.

• Korean small business review
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• v.43 no.2
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• pp.59-86
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• 2021

The platform concept has been used for business operations in various forms: product platforms, transaction platforms and industry platforms. All these platforms have common characteristics of having 'core' that is reused frequently and 'peripherals' that are less reusable and changed often. Companies use platforms to enable efficient development and creation of product family, transactions and innovation. These platforms provide new opportunities for many small and medium-sized companies (SMEs) by bringing changes to traditional industrial structures focused on the products rather than platforms. The service robotics industry in South Korea is mainly composed of technology-intensive SMEs due to its small market size. Although these SMEs succeed in developing technologies, they have difficulties creating and expanding markets to sell products. Thus, this study addresses the characteristics and problems of the South Korean service robotics industry and analyses how ROBOPRINT, one of the SMEs in the service robotics industry, successfully creates and continuously expands the service robot market by adopting platform concept. The results indicate that ROBOPRINT has been applying two types of platforms: product and transaction platforms. First, ROBOPRINT created art robots that were apartment mural service robots. Rather than selling art robots, the company developed various robots such as painting robots, building exterior wall-cleaning robots by reusing the core technology of the robots. The company also developed various robots according to the buyers request. In addition, the company used the robots to directly provide apartment mural services for customers. This mural service has been extended into various areas, not only in apartments but also in soundproof walls, underground passages, and retaining walls. Besides, ROBOPRINT added new services continuously by developing technologies such as virtual reality. Second, ROBOPRINT mediated mural service buyers and mural designers. This platform reduced buyers' workload, which necessitates requesting mural services to ROBOPRINT and searching for mural designers. For designers, this opened up new opportunities to participate in the mural business. The platform attracted both mural buyers and designers who were scattered before. Finally, ROBOPRINT seeks to expand the platform's scope to outside company. To share internally reused ROBOPRINT's technology with other companies, the company participated in Daegu city's 'New Technology Platform Industry'. Furthermore, ROBOPRINT is trying to share the service platform by leasing robots to other companies. This allows external agents to develop technologies and provide services by reusing resources from ROBOPRINT. This study contributes to existing theories by showing that SMEs continuously create and expand markets by building various platforms. Moreover, it provides useful implications for practitioners by describing the firm's specific platform-building strategy.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.2
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• pp.134-147
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• 2014

The purpose of this study is, focusing on the ancient paintings and literatures, by examining Flowering Plants and drawing their cultivating methods, to provide a ground of utilizing them on the modern landscaping. In the scope and method of this study, 766 pieces of ancient paintings(6 garden paintings and 760 folk paintings) which were available and had value as literatures, and 8 of ancient literatures were intensively examined. Main results extracted from them are as follows. First, the most frequently used Flowering Plants in Joseon Dynasty were Prunus mume, pbyllostachys, Nelumbo nucifera, Chrysanthemum morifolium, Musa basjoo, Rosa spp., Rhododendron mucronulatum, Paeonia lactiflora, which appeared 11 times to 16 times in total. Next frequently(4 times to 8 times) used Flowering Plants were Gardenia jasminoides, Punica granatum(8 times), Dianthus chinensis, Vitis vinifera(7 times), Orchidaceae, Syringa velutina, Impatiens balsamina, Hemerocallis fulva, Celosia cristata, Hibiscus Syriacus, Rhododendron indicum(6 times), Rhododendron, Rhododendron obutusum, Acorus calamus, Althaea rosea, Kerria japonica, Citrus junos(5 times), Hibiscus mutabilis, Lychnis cognata, Calendula officnalis, Begonia rex., Helianthus annuus, Papaver spp., Narcissus tazetta, Daphne odora, Hosta plantaginea(4 times). Second, usage of the Flowering Plants in Joseon Dynasty can be divided into character building and horticulture for pleasure through positive, scientific approach attempt. It suggests that there might have been classes in the use of them and we can estimate which plants were particularly preferred. Third, in the symbolicity of the usage of Flowering Plants, it can be divided into three parts: The case of representing integrity, gentleman, honesty and nobility and the thought of loyalty and filial piety under the influence of Confucianism. The case of representing Taoism's thought of hermit and perennial youth and long life. The case of representing wish on wealth and prosperity. So if we make a good use of it, we may draw a meaning of cultivation of Flowering Plants from it. This is your target audience or the good luck to all he plants is aimed at, you can see the occurred. Fourth, the Joseon Dynasty was the use of flowering plants are the line of rain wanted to be more consistent with the spirit world. This is shown as a symbol of their ancestors. Joseon Dynasty was used, resulting in a kind of flowering plant and is not a subjective judgement criteria A psychological approach to the side when interpreting the Joseon Dynasty flowering plants to take advantage of the landscape of the area will widen in scope.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1589-1597
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• 2014

For several decades, economic growth has achieved in the aspect of productivity and effectiveness not environmental friendly. As a result, global warming is a major agenda to solve. Therefore, global effort to sustainable development has been adopted like UNFCCC and Kyoto protocol that aimed to reduce greenhouse gas. However, the construction industry has only focused on applying techniques for using less energy sources not monitoring sustainable construction and development. Therefore, this study developed a tool for monitoring greenhouse gas emissions in construction industry. The proposed system evaluates and estimates BAU (Business as usual) for each phase of a construction project. For this purpose, analyzed the greenhouse gas emission factors coincide to life cycle of a construction project. The scope of monitoring is determined according to data availability and emission factor. Then, the system framework is developed and the calculation logic is proposed the system features provide comparison between the emission estimates for eco-friendly design and the actual emission of construction and operation phases. The system would be utilized as a tool for supporting to green construction realization and green construction performance evaluation.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.72-81
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• 2014

As big data are one of main issues in the recent days, the interests on their technologies are also increasing. Among several technological bases, this study focuses on data visualization and R based on open source. In general, the term of data visualization can be summarized as the web technologies for constructing, manipulating and displaying various types of graphic objects in the interactive mode. R is an operating environment or a language for statistical data analysis from basic to advanced level. In this study, a web application with these technological aspects and components is newly implemented and exemplified with data visualization for geo-based open data provided by public organizations or government agencies. This application model does not need users' data building or proprietary software installation. Futhermore it is designed for users in the geo-spatial application field with less experiences and little knowledges about R. The results of data visualization by this application can support decision making process of web users accessible to this service. It is expected that the more practical and various applications with R-based geo-statistical analysis functions and complex operations linked to big data contribute to expanding the scope and the range of the geo-spatial application.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.2
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• pp.215-230
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• 2014

This study aim to do observation to 1) Trajectory of cognitive-cultural economy growth with regional historical context, 2) Spatial, cultural and social change caused by cognitive-culture economy growth, and 3) Draw the meaning of the change in glocalizational view. They said that 'Creativity' has been related with spatial, economical, cultural and social change and it leads to new economical system, what we call 'Cognitive-cultural economy'. It is the important event which is to affect economic geography and local development greatly. New cultural changes are characterized by variations from abstract discourse to concrete reality and show the emphasis on real project specific in the region. Further more, possibility of local development in the glocalization found in the specific form of cultural content, for example, Korean Wave. New media environment changes that include SNS function not only interact each other in space but also expand the scope of local units and cultural content to the world. In order to enhance the further development of local content, it will require conjunction with space and specific region, variety of organic link between the principal participants, and building infrastructure for future development.