• Journal of the Korean Institute of Landscape Architecture
• /
• v.28 no.3
• /
• pp.39-52
• /
• 2000

The purpose of this paper is to investigate the difference in facilities of natural recreation forests developed by public and private body to answer the research that what is the difference in development of natural recreation forest between public and private developer\ulcorner After reviewing the literatures, developer's decision-making and motivation of investment, and the planning process of natural recreation forest, we had constructed th conceptual framework and have found the hypothesis of this research. Using data on development status of natural recreation forests and questionnaire surveying of 625 visitors from 9 among 72 natural recreation forests in Korea, We analyzed the data through the comparison of quantity of facilities per 1000 visitors and logistic regression method for quality of facilities. We have found that 1) the six facilities have been turned out to be statistically significant in determining the difference of public and private recreation forests. i.e., infrastructure including roads, maintenance and information and lodging and evacuation, indoor education, outdoor education, and shopping, 2) public recreation forests are well equipped such basic facility as roads, maintenance and information, lodging and evacuation while private recreation forests are well equipped such facility as indoor education, outdoor education, and shopping, and 3) the importance of such facility as roads, maintenance and information, lodging and evacuation, outdoor education, and shopping have been turned out to have 1.99, 2.26, 1.99, 3.01 and 2.24 times more important than that of indoor education, respectively. We can conclude that public recreation forest seems to be equipped with the facilities for sound recreational opportunities for general public, and private recreation forest turned out to have more facilities for pursuit of profits, installed basic facilities for user convenience and service, and special facilities for attracting user and raising revenue. Using the results of this research, we can make a guideline for a market positioning, and standards and provisions of natural recreation forests. We suggest that the relationship between user-satisfaction and recreation facility is needed to be examined in the future research.

• The KIPS Transactions:PartD
• /
• v.17D no.1
• /
• pp.77-86
• /
• 2010

Recently, Enterprise Architecture (EA) has emerged as the important keyword in both private and public sectors. With this phenomenon, there are tremendous need for the measures of EA functions, one of the key EA research variables, to provide academic insights and accumulate research findings in this area. Thus far, multiple definitions and concepts for EA functions exist, causing confusion among observers. Thus, in order to clarify the conceptual meaning behind the term "functions of EA" once and for all, this study reviews previous literature and provides conceptual definition. Then, we identify 24 items and rigorously develop and validate the measurement instrument for EA functions, which results in five domains: Infrastructure Systemization, Integration Management, IT Governance Support, Development and Operation Management, and Investment Management.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.8
• /
• pp.4191-4211
• /
• 2019

Software product lines (SPLs) are complex software systems by nature due to their common reference architecture and interdependencies. Therefore, any form of evolution can lead to a more complex situation than a single system. On the other hand, software product lines are developed keeping long-term perspectives in mind, which are expected to have a considerable lifespan and a long-term investment. SPL development organizations need to consider software evolution in a systematic way due to their complexity and size. Addressing new user requirements over time is one of the most crucial factors in the successful implementation SPL. Thus, the addition of new requirements or the rapid context change is common in SPL products. To cope with rapid change several researchers have discussed the evolution of software product lines. However, for the evolution of an SPL, the literature did not present a systematic process that would define activities in such a way that would lead to the rapid evolution of software. Our study aims to provide a requirements-driven process that speeds up the requirements engineering process using social network sites in order to achieve rapid software evolution. We used classification, topic modeling, and sentiment extraction to elicit user requirements. Lastly, we conducted a case study on the smartwatch domain to validate our proposed approach. Our results show that users' opinions can contain useful information which can be used by software SPL organizations to evolve their products. Furthermore, our investigation results demonstrate that machine learning algorithms have the capacity to identify relevant information automatically.

• Journal of the Korean Institute of Educational Facilities
• /
• v.26 no.1
• /
• pp.9-16
• /
• 2019

The recent decline in the school-age population has led to a more conservative and conservative approach to the establishment of schools. In the judgment of school establishment, it is required to make a decision method that can make objective and comprehensive judgment of various situations rather than local analysis of a single school. In this changing situation, EduFine system and placement establishment system were introduced to comprehensively analyze the feasibility of student placement and school establishment. However, the EduFine system of the Ministry of Education has few users because it is difficult to use education and it is difficult for users to use. Based on the GIS, the placement establishment system was able to analyze the number of students and the status of apartment buildings in a comprehensive manner. But placement establishment system has been used mainly in support of investment assessment rather than research. Therefore, there is a need to increase the utilization of users by linking two systems or integrating them into one system. In this study, we want to derive the functions to improve the GIS - based layout establishment system through user analysis such as comparative analysis and survey of existing systems. In particular, the purpose of the study is to improve the function of system, to improve the students' placement ability and the school establishment work ability and to improve the user satisfaction.

• Journal of Korean Society of Rural Planning
• /
• v.25 no.2
• /
• pp.119-130
• /
• 2019

In a situation in which rural areas are declining, local governments are seeking to revitalize areas by place marketing. Place marketing, defined by various efforts to promote the image of a place, has been used as an economic tool. As a result, the image has been over-promoted and marketing has been driven in a perfunctory manner, so individual residents' lives and experiences have been ignored. Thus, in addition to the traditional types of cultural place marketing and economic place marketing, this study established a 'project for rural revitalization of Hwayang-eup' so that it could be applied to political place marketing aimed at inducing internal investment and improving the welfare of local residents. To implement this project, the concept was set up as building network organization, sustainable development and symbiotic relationship, and various H/W and S/W plans were developed. First of all, in terms of political place marketing, the Hwaeyang Oulim Center was constructed to strengthen the capacity of local autonomous organizations. In terms of cultural place marketing, we explored cultural resources at the village level and created a small community space. In terms of economic place marketing, the landscape around the main street and the township was reorganized to create a cultural business space for urban and rural exchanges. The reinterpretation of place marketing seen through this project was first, it was more process-oriented than results, second, it was important to induce the community-participating village-making project, and finally, the role of experts was important to expand the community movement.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.27 no.1
• /
• pp.55-70
• /
• 2024

The loss of biodiversity poses a significant threat not only to business sustainability and investment risk but also to societal well-being. Nature serves as a crucial driver for long-term business viability and economic prosperity. The Task Force on Nature-related Financial Disclosures (TNFD), established in September 2023, mandates that companies assess and disclose their impacts on nature. Despite this, many businesses lack a full understanding of their reliance on and impact upon natural capital and ecosystem services, leading to insufficient disclosures. This study evaluates the applicability of TNFD's assessment methodologies and indicators within a domestic context, highlighting the condition of nature and ecosystem services, and exploring potential synergies with national biodiversity policies. Our analysis suggests that TNFD necessitates a unique approach to the spatial and temporal data and methodologies traditionally employed in environmental impact assessments. This includes assessing the reciprocal influences of corporate activities on natural capital and ecosystem services via the LEAP framework. Moreover, in industries where the choice of specific indicators depends on unique sectoral traits, developing a standardized strategy for data and assessment indicators-adapted to local conditions-is crucial due to the variability in the availability of assessment tools and data. The proactive engagement of the private sector in ecosystem restoration projects is particularly promising for contributing towards national biodiversity objectives. Although TNFD is in its nascent phase, its global adoption by numerous companies signifies its potential impact. Successful implementation of TNFD is anticipated to deepen businesses' and financial institutions' understanding of natural capital and ecosystem services, thereby reinforcing their commitment to sustainable development.

• Journal of The Korea Institute of Healthcare Architecture
• /
• v.30 no.1
• /
• pp.37-44
• /
• 2024

Purpose: The planning of medical facilities involves formulating a comprehensive medical basic plan, translating it into spatial dimensions through a space program. Feasibility assessment often relies on empirical methods like floor area per bed. However, with the shift towards specialized medical concepts, proportional scaling to bed numbers is challenging. This study proposes scale planning improvements during the feasibility assessment stage for comprehensive hospitals, analyzing cases using area determination factors and standard areas based on medical resources. Methods: The Korean Development Institute's Public Investment Management Center (KDI) identified issues in the scale determination of medical facilities in the Preliminary Feasibility Study Guidelines and investigated alternative approaches for determining the scale of a case that passed the preliminary feasibility study in 2019. The study assessed the feasibility of applying individual factors to determine not only the number of beds but also the scale at the sector and department levels. Additionally, a statistical analysis was conducted to examine the correlation between the total number of beds and various area determination factors. Results: Results suggest a strong correlation between total beds and major equipment needs, but in hospitals with <500 beds, this correlation weakens. Ward section scale is better calculated per ward type, not just total beds. Outpatient department scale depends on specialists, influencing treatment room numbers. Medical personnel play a crucial role in determining the scale of sections like rehabilitation therapy rooms, operating rooms, dialysis rooms, and overall facility scale.

• Structural Engineering and Mechanics
• /
• v.91 no.1
• /
• pp.39-47
• /
• 2024

Bridge deterioration shows the change of bridge condition during its operation, and predicting bridge deterioration is important for implementing predictive protection and planning future maintenance. However, in practical application, the raw inspection data of bridges are not continuous, which has a greater impact on the accuracy of the prediction results. Therefore, two kinds of bridge deterioration models are established in this paper: one is based on the traditional regression theory, combined with the distribution fitting theory to preprocess the data, which solves the problem of irregular distribution and incomplete quantity of raw data. Secondly, based on the theory of Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN), the network is trained using the raw inspection data, which can realize the prediction of the future deterioration of bridges through the historical data. And the inspection data of 60 prestressed concrete box girder bridges in Xiamen, China are used as an example for validation and comparative analysis, and the results show that both deterioration models can predict the deterioration of prestressed concrete box girder bridges. The regression model shows that the bridge deteriorates gradually, while the LSTM-RNN model shows that the bridge keeps great condition during the first 5 years and degrades rapidly from 5 years to 15 years. Based on the current inspection database, the LSTM-RNN model performs better than the regression model because it has smaller prediction error. With the continuous improvement of the database, the results of this study can be extended to other bridge types or other degradation factors can be introduced to improve the accuracy and usefulness of the deterioration model.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.8
• /
• pp.2450-2463
• /
• 2024

Many legacy information systems are currently being clouded. This is due to the advantage of being able to respond flexibly to the changes in user needs and system environment while reducing the initial investment cost of IT infrastructure such as servers and storage. The infrastructure of the information system migrated to the cloud is being integrated through the API connections, while being subdivided by using MSA (Micro Service Architecture) internally. DBMS (Database Management System) is also becoming larger after cloud migration. Scale calculation in most layers of the application architecture can be measured and calculated from auto-scaling perspective, but the method of hardware scale calculation for DBMS has not been established as standardized methodology. If there is an error in hardware scale calculation of DBMS, problems such as poor performance of the information system or excessive auto-scaling may occur. In addition, evaluating hardware size is more crucial because it also affects the financial cost of the migration. CPU is the factor that has the greatest influence on hardware scale calculation of DBMS. Therefore, this paper aims to calculate the conversion factor for CPU scale calculation that will facilitate the cloud migration between heterogeneous DBMS. In order to do that, we utilize the concept and definition of hardware capacity planning and scale calculation in the on-premise information system. The methods to calculate the conversion factor using TPC-H tests are proposed and verified. In the future, further research and testing should be conducted on the size of the segmented CPU and more heterogeneous DBMS to demonstrate the effectiveness of the proposed test model.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.46 no.3
• /
• pp.92-102
• /
• 2018

The purpose of this study is to investigate if subjective well-being could be improved by visiting urban forests near residential areas. Because visiting an urban forest is not an intense positive experience, this research is focused on frequency of affective experience rather than intensity. The independent variables are number of visits and length of stay. The dependent variables are positive affect, negative affect, and life satisfaction. A polling agency was employed to select 600 respondents by quota sampling, and data was collected by online survey. The results of ANOVA showed that there was no interaction between the number of visits and length of stay. Regardless of the number of visits, the subjective well-being of visitors of urban forests was enhanced: (a) positive affect of respondents who had visited in the past 2 weeks was increased while negative affect was decreased, and (b) life satisfaction for those who had visited at least 1 time per month was enhanced among usual visitors. The stay of length, however, had little effect on the increase or decrease of these three variables. The results of this study support the existing theory that one could reset their genetically determined happiness set point to a higher level by participating in intentional activities such as visiting urban forests that offer ways to achieve long-lasting changes in well-being. This means that it would be a valuable government investment to construct and maintain urban forests for improving citizens' welfare. A few comments were suggested regarding data collection and inclusion of influencing variables to make future subjective well-being studies more reliable.