• Journal of the Korea Society for Simulation
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• v.33 no.1
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• pp.1-17
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• 2024

Forest management is known to beneficially influence stand structure and wood production, yet quantitative understanding as well as an illustrative depiction of the effects of different management approaches on tree growth and stand dynamics are still scarce. Long-term management of beech forests must balance public interests with ecological aspects. Efficient forest management requires the reliable prediction of tree growth change. We aimed to develop a novel hybrid simulation approach, which realistically simulates short- as well as long-term effects of different forest management regimes commonly applied, but not limited, to German low mountain ranges, including near-natural forest management based on single-tree selection harvesting. The model basically consists of three modules for (a) natural seedling regeneration, (b) mortality adjustment, and (c) tree growth simulation. In our approach, an existing validated growth model was used to calculate single year tree growth, and expanded on by including in a newly developed simulation process using calibrated modules based on practical experience in forest management and advice from the local forest. We included the following different beech forest-management scenarios that are representative for German low mountain ranges to our simulation tool: (1) plantation, (2) continuous cover forestry, and (3) reserved forest. The simulation results show a robust consistency with expert knowledge as well as a great comparability with mid-term monitoring data, indicating a strong model performance. We successfully developed a hybrid simulation that realistically reflects different management strategies and tree growth in low mountain range. This study represents a basis for a new model calibration method, which has translational potential for further studies to develop reliable tailor-made models adjusted to local situations in beech forest management.

• Journal of Venture Innovation
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• v.7 no.3
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• pp.85-100
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• 2024

ESG management refers to corporate management that takes into account environmental, social, and governance factors, while digital transformation goes beyond the mere automation or digitization of existing tasks to drive an innovative change in the essence of work and the way value is created. Therefore, digital transformation can help companies achieve ESG goals and implement sustainable business practices, establishing a complementary relationship between digital transformation and ESG management for corporate sustainability and growth. This relationship maximizes the synergy of integrating digital transformation with ESG management, enabling companies to utilize resources efficiently and prevent redundant investments, ultimately enhancing sustainable management performance. In this study, we propose the simultaneous promotion of business process reengineering (BPR), in which both digital transformation and ESG management are integrated. This is because the collection, analysis, and decision-making processes related to various data for promoting ESG management must be organically integrated with digital transformation technologies. Therefore, we analyzed each ESG management objective presented in the K-ESG guidelines and identified the corresponding digital transformation technologies through expert interviews and a review of prior research. The K-ESG guidelines serve as a useful ESG diagnostic system that enables companies to identify improvement tasks and manage performance based on goals through self-assessment of ESG levels. By developing a model based on the K-ESG guidelines for the integrated promotion of digital transformation and ESG management, companies can simultaneously improve ESG performance and drive digital innovation, reducing redundant investments and trial-and-error while utilizing diverse resources efficiently. This study provides practical and academic implications by developing a concrete and actionable new research model for researchers and businesses.

• Journal of Korean Society of Transportation
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• v.28 no.6
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• pp.7-15
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• 2010

Research of this paper focused on developing and demonstrating of algorithm with the figures of difference between historical traffic pattern data and real-time traffic data to decide on what the incident is. The aim of this dissertation is to develop incident detection algorithm which can be understood and modified easier to operate. To establish traffic pattern of this algorithm, weighted moving average method was applied. The basis of this method was traffic volume and speed of the same day and time at the same location based on 30-second raw data. The model was completed by a serious of steps of process-screening process of error data, decision of the traffic condition, comparison with pattern data, decision of incident circumstances, continuity test. A variety of parameter value was applied to select reasonable parameter. Results of application of the algorithm came out with figures of average detection rate 94.7 percent, 0.8 percent rate of misinformation and the average detection time 1.6 minutes. With these following results, the detection rate turned out to be superior compared with result of existing model. Applying the concept of traffic patterns was useful to gain excellent results of this study. Also, this study is significant in terms of making algorithm which theorized the decision process of actual operators.

• Spatial Information Research
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• v.20 no.6
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• pp.33-43
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• 2012

As part of recent sustainable transport, bike has come into the spotlight as a green transport at close range to link between walking and public transit and also alterative to solve problems of existing vehicle travel. Some arguments on promotion of using bicycles have already been made in Europe, the U.S and other developed countries. To be sure, much has been written extensively in description of utilization of bike oriented by supplier, for examples, Level of Service with bike path, infrastructure such as bicycle racks and lounge etc. Therefore, our study has been differentiated in development of new evaluation model focused on level of bike user's satisfaction, comprehensively considering suitability for bikeway installation, connectivity of the public transportation system and stability in Incheon City. ANP(Analytic Network Process) analysis which is able to allow consideration of the interdependence of criteria has been hired due to multi-collinearity instead of AHP used in multi-criteria decision analysis. Last but not least, we drew bike route on a case-by-case for maintenance and improvement of its facility in Namdong-gu and Bupyeong-gu. To conclude, suggested finding has dem onstrated the validity of evaluation scheme for bikeways which is appropriate for type and purpose and ultimately this can be used to establish policy decision making for improvement of bikeway.

• Korean Journal of Social Welfare
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• v.59 no.2
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• pp.303-325
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• 2007

This study explores the relationship between marketing activities and brand equity in nonprofit organizations, specifically investigating the relational linkage between four selected marketing mix elements and brand equity through the mediating role of brand equity dimensions. Employing a structural equation model, the study empirically tests research hypotheses and finds some important implication for brand equity creation strategies for nonprofits. The results show that brand association is the only dimension that is positively related to brand equity, reflecting the current donation market in Korea where nonprofits have such a low presence that donors have little knowledge and chance to identify their brands and to build trust relationships with them. Furthermore, the results highlight the importance and roles of promotion and process marketing efforts, as they are proved to enhance brand association. The study also finds that promotion is positively related to brand awareness and process contributes to perceived quality and brand loyalty. Based on these findings, the study suggest that nonprofits make further efforts on active promotion and process development to create positive, differentiated images and better accessibility, and finally improve their brand equity.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.139-163
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• 2022

This study analyzes the past and present of service science research as a central discipline that will lead a new economy and society, and presents a guide for future research. In the 21st century, service research has developed into a new discipline that is different from the existing service studies. Service science is a discipline that collectively refers to all research related to services. This study analyzes this development process and suggests the direction of future service science research. First, we analyze the research before the birth of service science, an early model of service studies. And the early research on the birth of service science is analyzed. Through this process, the service science framework that expanded and developed the initial service science is analyzed. We introduce each field of service science, which is a new innovation of the existing academic system from a modern perspective, and analyzes the structure of the service philosophy that is the basis of independent academic fields. And we suggest the future direction of service science research. The direction of paradigm innovation research of existing individual disciplines is presented first. As an example, innovation from existing business administration to service business administration is introduced. We also suggest a new economic and social system research direction that requires the convergence of multiple academic fields. Finally, we present a direction for multidimensional, broad-based convergence research. We suggest that the future of service science can be the process of reverting back to integration and convergence, centered on humans and the world, of the disciplines that have continued to diverge in the history. We present a model in which all disciplines are reintegrated into service science as the Eastern and Western spirits converge.

• Journal of the Korean Geotechnical Society
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• v.15 no.4
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• pp.153-166
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• 1999

Since the reliability of results by the existing analyzing method is low, in the case of for excavation performed in urban area whose stability is of great importance, construction control based on field monitoring is always necessary. But the field monitoring reflects only the behavior of construction process that has already been carried out, and it has limitations in predicting the behavior of the expected construction process, which is practically more important for construction control. In this study, construction control system for excavation which can predict the behavior of the expected processes during construction with high degree of accuracy, is developed by adopting inverse analysis. The inverse analied applied field monitoring results to excavation analysis can improve the reliability of predicted results. The developed system uses an elasto-plastic soil spring model for the excavation analysis and the minimization of least squared errors between measured displacements and calculated displacements for the inverse analysis. All the required processes for construction control can be performed as an integrated work within the system reflecting real time application and user's convenience. Their applicabilitis are confirmed by two case studies.

• Journal of The Korea Institute of Healthcare Architecture
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• v.19 no.2
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• pp.19-30
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• 2013

Purpose: The planning and design of hospital generally requires the participation and consultation of skilled experts since it has more complex space program than any other buildings. Therefore, the BIM systems for the planning of hospital have been tried continuously. The purpose of this study is to identify the precondition for space Program validation of healthcare architecture based on BIM, which is recently receiving wide attention. Method: For this study, United States, Australia and Finland's guidelines were analyzed among the description space program validation system in 14 overseas BIM Guidelines. And the propose precondition that can be applied to healthcare architecture from among these description of space program validation items, target, process etc for General building. Result: 1) spatial program validation is the following four evaluation phase. Step 1: Standard setting phase Step 2: BIM model accuracy assessment phase Step 3: space validation phase Step 4: Performance evaluation phase 2) The standards for the building elements at Standards Setting stage is considered to the standards for the architectural elements of General building. 3) Healthcare Architecture Area calculation method is considered to be reasonable that borrowing the area calculation standard of general architecture according to the UIA of international standards. However, Be proposed of measuring method that reflect the efficiency of the design process step-by-step area calculation method. The performance assessment indicators of reflect the Hospital uniqueness have to developed. And the research needs to be carried out continuously according to the purpose for healthcare architecture of feature-oriented. Implications: In this paper like to understanding that precondition of space program validation considering the BIM. As a result, understanding to condition about step of the evaluation, the evaluation standards. Is expected to keep the focus on the development of performance indicators that reflect the uniqueness of the hospital for the efficient evaluation of the Hospital building.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.821-831
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• 2019

The 9.12 earthquake (2016.9.12., M_L=5.8) and Pohang (2017.11.15., M_L=5.4) caused social and economic damage, resulting in a greater public interest in earthquakes than in the past. In the U.S., Japan and Chile, which have high frequency of earthquakes, infrastructure facilities are already managed based on probabilistic seismic hazard analysis (PSHA) and ground motion prediction equation (GMPE) to prepare for and respond to seismic disasters. In South Korea, the aforementioned PSHA and GMPE models have been developed independently through individual researchers. However, the limited disclosure of basic data, calculation methods, and final results created during the model development poses a problem of deploying new data without updating the earthquake that occurs every year. Therefore, this paper describes how to create flatfile, which is the basic data of GMPE, and how to process for seismic waves, and how to create intensity measures.

• Journal of Korean Society of Transportation
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• v.22 no.2 s.73
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• pp.19-26
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• 2004

AllWayS(AWS, Satongpaldal in Korean) is the first comprehensive computer software in Korea that is developed for the transportation demand modeling. The original DOS version software was recently receded for Windows environment. Traditional 4-step transportation demand forecasting process is incorporated in the software under graphical user interface environment. AWS is able to compose or edit graphic transportation networks data by each scenario which could be the subject of an analysis. Besides, it use database structure that can handle every data of a scenario such as networks, O/D, and socio-economic data, etc. We expect this integrated process could provide each analyst with efficient and easy to use tool for their analysis. Each models in this software is based on traditional algorithms and the results were compared to existing software, EMME/2 and it showed similar results.