• Journal of Korean Society of Rural Planning
• /
• v.25 no.2
• /
• pp.63-74
• /
• 2019

As the awareness of food security has increased, the Korean government has established national projects, such as Saemangeum proclaimed land, to secure sources of grain. Saemangeum is a large-scale agricultural area that was constructed to maintain preparedness for unstable food markets. This study aims to develop a $6^{th}$ Industrialization Model (SIM) for Saemangeum Grain Complex by applying feasible strategies to wheat and two-rowed barley which have low self-sufficiency rates. In addition, this study estimates the potential economic value of each development strategy associated with a sixth industrialization model to create higher added values from production, processing and tourism experiences. The strategic plan for primary, secondary, and tertiary industries is to combine cultivating and processing wheat and two-rowed barley for sales and linking them to tourism experience. This study shows value added from the combination of the primary, secondary and tertiary industry of wheat and two-rowed barley are 7.5 and 23.0 times more than those of the primary and tertiary industry combination, respectively. Through branding Saemangeum Grain Complex's products, such as Saemanguem bread and craft beer, would further enhance the economic benefits derived from the complex.

• Journal of Korean Society of Forest Science
• /
• v.100 no.4
• /
• pp.698-707
• /
• 2011

Over the past 10 years, South Korea has implemented various plantation projects including the Pine Restoration Project in Tujiin Nars and the desertification prevention forestation in Lun soum. This study has evaluated the implementation feasibility on the small-scale A/R CDM projects in Mongolia through which carbon emission credits can be secured. Characteristics, pros and cons, economic feasibility, and project execution feasibility were compared among three possible sites, Khyalganat, Tujiin Nars, and Lun soum. Among the three evaluated sites, Tujiin Nars has the better condition in tree growth, economic feasibility, and the applicability of experience than the other two sites. A/R CDM project in Mongolia, which has a great environmental benefit of combating desertification, is expected to have some effectiveness such as lowering costs from credit benefit, sustainable management by villagers, contribution to communities, investor's contribution to society and achievement of green image, and strengthening forestry cooperation between Korea and Mongolia.

• The Journal of Bigdata
• /
• v.7 no.1
• /
• pp.113-124
• /
• 2022

Various methods using machine learning and big data have been applied to prevent failures in Data Centers. However, there are many limitations to referencing individual equipment-based performance indicators or to being practically utilized as an approach that does not consider the infrastructure operating environment. In this study, the performance indicators of individual infrastructure equipment are integrated monitoring and the performance indicators of various equipment are segmented and graded to make a single numerical value. Data pre-processing based on experience in infrastructure operation. And an ensemble of RRCF (Robust Random Cut Forest) analysis and Prophet analysis model led to reliable analysis results in detecting anomalies. A failure analysis system was implemented to facilitate the use of Data Center operators. It can provide a preemptive response to Data Center failures and an appropriate tuning time.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.16 no.5
• /
• pp.325-330
• /
• 2023

This paper proposes to apply machine learning to the process of predicting the slab thickness based on the structural analysis results or experience and subjectivity of engineers in the design of bridge data construction to enable digital-based decision-making. This study aims to build a reliable design environment by utilizing machine learning techniques to provide guide values to engineers in addition to structural analysis for slab thickness selection. Based on girder bridges, which account for the largest proportion of bridge data, a prediction model process for predicting slab thickness among superstructures was defined. Various machine learning models (Linear Regress, Decision Tree, Random Forest, and Muliti-layer Perceptron) were competed for each process to produce the prediction value for each process, and the optimal model was derived. Through this study, the applicability of machine learning techniques was confirmed in areas where slab thickness was predicted only through existing structural analysis, and an accuracy of 95.4% was also obtained. models can be utilized in a more reliable construction environment if the accuracy of the prediction model is improved by expanding the process

• Journal of the Korean Society of School Health
• /
• v.36 no.3
• /
• pp.113-125
• /
• 2023

Purpose: The purpose of this study is to develop a model for predicting mental health risk among adolescents based on health behavior information by employing a hybrid machine learning method. Methods: The study analyzed data of 51,850 domestic middle and high school students from 2022 Youth Health Behavior Survey conducted by the Korea Disease Control and Prevention Agency. Firstly, mental health risk levels (stress perception, suicidal thoughts, suicide attempts, suicide plans, experiences of sadness and despair, loneliness, and generalized anxiety disorder) were classified using the k-mean unsupervised learning technique. Secondly, demographic factors (family economic status, gender, age), academic performance, physical health (body mass index, moderate-intensity exercise, subjective health perception, oral health perception), daily life habits (sleep time, wake-up time, smartphone use time, difficulty recovering from fatigue), eating habits (consumption of high-caffeine drinks, sweet drinks, late-night snacks), violence victimization, and deviance (drinking, smoking experience) data were input to develop a random forest model predicting mental health risk, using logistic and XGBoosting. The model and its prediction performance were compared. Results: First, the subjects were classified into two mental health groups using k-mean unsupervised learning, with the high mental health risk group constituting 26.45% of the total sample (13,712 adolescents). This mental health risk group included most of the adolescents who had made suicide plans (95.1%) or attempted suicide (96.7%). Second, the predictive performance of the random forest model for classifying mental health risk groups significantly outperformed that of the reference model (AUC=.94). Predictors of high importance were 'difficulty recovering from daytime fatigue' and 'subjective health perception'. Conclusion: Based on an understanding of adolescent health behavior information, it is possible to predict the mental health risk levels of adolescents and make interventions in advance.

• Korean Journal of Environment and Ecology
• /
• v.22 no.3
• /
• pp.249-259
• /
• 2008

The purpose of this study was to analyze the users' behaviors and to suggest development strategies in Uljin Kumgang pine tree(Pinus densiflora for. erecta) eco-forest(UKPEF), which is located in Kyeongbuk. The data were collected by interviewing 122 visitors to september 3 from august 29, 2007 with a constructed questionnaire. The results of the analysis are as follows. 1. The major visitors of UKPEF are male and the age between 20 to 30, the residents of the Uljin county with relatively high academic background. 2. The motive of visiting UKPEF is mainly by the beauty and taste of Kumgang pine tree and the condition of the forest. The visitors are mainly composed of family, not big group. 3. The visitors of UKPEF have obtained information about the Kumgang fine tree forest mainly from friends, not from the internet or travel agency. 4. The visitors of UKPEF pointed out lack of convenient facilities such as toilets and water-supply facilities. However, visitors are satisfied by the condition of the forest. 5. The visitors of UKPEF set a high value on Kumgang fine tree, So, more active marketing strategy about Uljin Kumgang pine tree has to be established. 6. The visitors of UKPEF are more satisfied by the Uljin Kumgang pine tree forest than expected. The development strategies of UKPEF are suggest as follows. (1) Auto tram system has to be set up and new trail should be constructed to attract more visitors and people of other regions. (2) To attract group tourists, new program should be developed. (3) Advertisement through internet or travel agency has to be developed. (4) Government(local) should make a plan to register the forest as World natural heritage. (5) Monitoring and evaluation system has to be developed to satisfy tourists. In conclusion, the efforts of taking care of and preserving the UKPEF should be made at the national level. I hope that more Koreans can have chance to feel and experience the value and excellence ofthe Uljin Kumgang pine tree(Pinus densiflora for. erecta)

• Journal of the Korean Institute of Landscape Architecture
• /
• v.47 no.5
• /
• pp.1-13
• /
• 2019

This study is to derive a design alternative to the FECC (Forest Experience Center for Children) that meets the preschooler's preferences. For this purpose, preschooler participation is included in each phase of the FECC, the site perception phase, the deriving design elements phase, and the deriving design alternative phase. In this study, the process of the deriving design alternative phase was carried out with kindergarteners and preschoolers (6, 7 years olds; all 41 students) at Songsan-mulbit FECC in Gwangsan-gu, Gwangju. In order to derive the design alternatives, three detailed design processes (preschooler participation 2 times, researcher analysis 1 time), tool construction, and a preschooler participation workshop were conducted. The results of this study are as follows. First, as a result of the preschooler's design process, 41 designs were drawn, and an average of 7.66 spaces were drawn by each preschooler. The 6-year-old males designed the least (average 6.80 spaces) and the 7-year-old females designed the most (9.0 spaces). The physical and adventure play spaces were most common (38.9% to 48.7%) regardless of gender or age. To analyze the feasibility of the preschooler's design using a base map, the appearance of the physical environmental characteristics (7 items) in the site were analyzed in each of the 41 designs. As a result, the environmental characteristics were apparent a total 72 times overall. Similar environmental characteristics appearing more than once were apparent in 87.8% (26 designs) of designs. Second, three design alternatives were derived: APS- types (intensive planning of active play facility spaces) was presented in 15 designs, NS-types (planning focused on nature spaces) was presented in 14 designs, and SPS-types (planning focused on static play facility spaces) were presented 12 designs. Third, NS-type, which were finally selected through a preference assessment (5-point scale) and a comparative assessment of the three alternatives, has mainly natural spaces (forest space, forest path, shelter, natural exploration space, and ecological pond) and active play facility spaces, water play space and soil (sand) play spaces was appropriately designed. Therefore, the NS-type was analyzed as the design alternative that can fully accomplish all types of cognitive development through developed through play (functional play, constructive play, dramatic(symbolic) play).

• Proceedings of the KSRS Conference
• /
• 2004.10a
• /
• pp.668-670
• /
• 2004

Taipei Water Management Office (TWMO) is one of the eleven district offices in Water Resource Agency. Water management is the top priority to be pursued both on daily management and long-term management at TWMO. There are five departments to perform a wide range of tasks in addition to water management. All management prescriptions are simply to provide sustainable clean water for about four millions population in Taipei. TWMO has gone through 16 years experience of development and implementation of GIS in water management. The objectives of this paper are to provide the major ingredients of successful and operational GIS for water management. The five departments at TWMO have performed tasks such as city planning, construction management, forest management, land use enforcement, soil and water conservation, water quality monitoring and protection, garbage collection, and sewage disposal management. Data base creation was one of the major jobs to be done. Update of data base has to be done on a daily basis. Computers, its peripheral, and software are essential for GIS developed at TWMO. Know-how and technical skill on computers and GIS for every technician are contributing significantly such that GIS can be implemented on most of jobs performed at TWMO. Implementations of GIS have been pursued by application modules on a task-oriented basis. Application modules are simple, easy to use, and menu driven with only Chinese. Web-based and mobile GIS are the new components that make water management at TWMO stay on the right course. To solve problems encountered in water management by GIS at TWMO can be easily and user-friendly may be the most important experience.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.40 no.6
• /
• pp.98-111
• /
• 2012

This study found the possibility of using cemeteries within the locality as field trip destination. A comparison between Korea and the United States of America's active progress has derived the difference and the implications. Therefore, this article found that the cemetery has sufficient resources based on experience-learning place within the community. Therefore, when the active educational program was developed; it gained more abundant resources for education, as well as provided more different educational opportunities for the students than now. As the result of comparison, the reason why the educational program is actively progressing in the American cemeteries is that a beautiful and fresh environment has been built up such as a park or garden in a cemetery and has been preserved as a healthy forest ecosystem. Furthermore, it is because they actively used the cemetery within a community as the subject. If our cemetery can be renovated and the funeral culture can be changed to break down the image of an avoidable unpleasant facility, it would play a role as a field for learning experience.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.44 no.1
• /
• pp.29-39
• /
• 2016

The purpose of this study was to suggest the improvement of the Mountainous Landscape Impact Review(MLIR) system for the conservation and eco-friendly use of mountain scenery. In order to understand the status of the MLIR system, a comparative analysis was conducted of the MLIR official guidelines and the 100 MLIR reports submitted to the Korea Forest Service from 2011 to 2013. In addition, an Importance-Performance Analysis(IPA) was conducted to take into account stakeholder opinions and to determine the first priorities to be improved upon in operation and functions of the MLIR system. The results of the IPA in evaluating the MLIR system showed that the components in the MLIR system that should be primarily improved are mountainous landscape resource inventory, objective and quantitative selection of viewpoints, and a checklist for examining the damage expected in mountainous lands. To Revitalize the Mountainous Landscape Impact Review system, the professional knowledge and experience of the stakeholders should be enhanced by education and training in the MLIR system over the short-term, while the effective functioning of the MLIR system should be reinforced by differentiation and connectivity of the MLIR system with similar institutions, and by emphasizing the uniqueness and properties of mountainous landscapes over the long-term.