• Journal of People, Plants, and Environment
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• v.24 no.2
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• pp.229-244
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• 2021

Background and objective: The purpose of this study was to comprehensively analyze the user behavior in order to cope appropriately with the increasing demand for mountain usage of those in their 20s and 30s and to allocate resources efficiently. Methods: To analyze the behavior of mountain hiking users, an exploratory data analysis (EDA) was conducted on the data which had been collected in the app Tranggle. The main target are users in their 20s and 30s who visited the mountains in the metropolitan area in 2019-2020. Among them, we have selected data on the top 13 mountains based on the frequency of visits. After data pre-processing, mountain usage patterns were analyzed through statistical analysis and visualization. Results: Compared to 2019, the number of users in 2020 increased 1.36 times. The utilization rate of the well-established hiking trails has also increased. The usage of mountain on weekends (Saturday > Sunday) was still the highest, and the difference in the usage between the days of the week decreased. Outside of work hours, early morning usage has increased and night-time usage has decreased. There was no significant change in usages depending on activity type, level (experience point) and exercise properties. Conclusion: Since the COVID-19 outbreak, the usage of mountains has been changing towards low user density and short-distance trip. in the post-COVID-19 era, the function and role of forests in daily life are expected to increase. To cope with this, further research needs to be carried out with consideration of the wider demographic and social characteristics.

• Journal of Korean Society of Disaster and Security
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• v.15 no.3
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• pp.31-40
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• 2022

Domestic disaster risk maps are mainly produced and studied as a single disaster map by grid unit and disaster type. In particular, it is necessary to present an evaluation method of the disaster risk map that is more suitable for the relevant facility (local road) in order to utilize the work of practitioners who are mainly in charge of facility maintenance. In this study, an evaluation method was presented to evaluate the risk with a focus on local roads by using the landslide risk map and debris flow risk map provided by the Korea Forest Service. In addition, the risk was evaluated and verified for the provinces located in Gangwon-do. As a result of the evaluation, it was possible to evaluate the risk of grades 1 to 5 for 1,513 evaluation sections in the evaluation section with a total length of 234.59 km.

• Journal of Aerospace System Engineering
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• v.16 no.4
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• pp.109-115
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• 2022

The CNN (Convolution Neural Network) algorithm which combines a deep learning technique, and a computer vision technology, makes image classification feasible with the high-performance computing system. In this thesis, the CNN algorithm is applied to the classification problem, by using a typical deep learning framework of TensorFlow and machine learning techniques. The data set required for supervised learning is generated with the same type of bolts. some of which have undamaged threads, but others have damaged threads. The learning model with less quantity data showed good classification performance on detecting damage in a bolt image. Additionally, the model performance is reviewed by altering the quantity of convolution layers, or applying selectively the over and under fitting alleviation algorithm.

• Korea Science and Art Forum
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• v.36
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• pp.11-22
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• 2018

This study recent changes in urban thermal environment caused by climate change generate diverse problems such as urban heat island effects, heat wave, and drought. Under this condition, with the increased perception and expectation of the quality of life, the urban citizens' desire for outdoor activities is increasing. This study conducted the thermal environment analysis focusing on the urban ecological park used by many urban citizens, and also suggested the renovation measures for urban ecological park considering the thermal environment. As the research site, the ecologically-favorable Gildong Ecological Pak with diverse space composition was selected. The measuring items were measured and analyzed by dividing them into thermal environment index and thermal comfort index. In the results of analysis in each type of park space, the forest zone showed the most favorable result. Based on such results, total three kinds of renovation measures for urban ecological park considering the thermal environment were suggested. Through this, the urban ecology park renovation plans were presented in three ways. The results of this study are meaningful in that it can be used as a base material for creating an ecological park considering the thermal environment.

• Journal of the Korea Institute of Building Construction
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• v.23 no.1
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• pp.23-33
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• 2023

It is widely known that the level of fire resistance of wooden structure is determined by a charring rate or charring depth, and these are adopted for fire design. In this study, specimens of domestic larch column with a lamination wooden type were prepared and the fire resistance properties such as the charring depth, load ratio and the specific charring rate suggested by EN Code investigated. Test results showed that as expected, the weakest part was the corner of the column, so that the charring depth of the corner was deeper than the other parts of the column. For the load ratio less than 0.9, it had little effect on the charring depth.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.507-519
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• 2023

Multi-temporal optical images have been utilized for time-series monitoring of croplands. However, the presence of clouds imposes limitations on image availability, often requiring a cloud removal procedure. This study assesses the applicability of various machine learning algorithms for effective cloud removal in optical imagery. We conducted comparative experiments by focusing on two key variables that significantly influence the predictive performance of machine learning algorithms: (1) land-cover types of training data and (2) temporal variability of land-cover types. Three machine learning algorithms, including Gaussian process regression (GPR), support vector machine (SVM), and random forest (RF), were employed for the experiments using simulated cloudy images in paddy fields of Gunsan. GPR and SVM exhibited superior prediction accuracy when the training data had the same land-cover types as the cloud region, and GPR showed the best stability with respect to sampling fluctuations. In addition, RF was the least affected by the land-cover types and temporal variations of training data. These results indicate that GPR is recommended when the land-cover type and spectral characteristics of the training data are the same as those of the cloud region. On the other hand, RF should be applied when it is difficult to obtain training data with the same land-cover types as the cloud region. Therefore, the land-cover types in cloud areas should be taken into account for extracting informative training data along with selecting the optimal machine learning algorithm.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.20-20
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• 2020

Eranthis stellata Maxim. is a perennial plant that grows around the valley. E. stellata is concerned about the decline in natural habitats due to climate change in KOREA, continues to be observed and protected as an endangered species (Least Concrned, LC). Nevertheless, studies on the characteristics of the seeds of E. stellata are insufficient. So, this study analyzed the morphological characteristics and dormancy types of seeds. Seeds of E. stellata was collected in April at Gyeongsangbuk-do Arboretum and kept at 5 ℃ until using. To investigate the morphology of seeds, an optical microscope and a scanning electron microscope (SEM) were used. GA3 treated or untreated seeds (4 replicates of 25 seeds each) were observed germination and embryo growth for 1 month at 5 ℃ and 25/15 ℃ (12h day/12h night). The seed surface of E. stellata, light brown, was observed as a common characteristic of Eranthis genus, reticulate. The short axis of seeds was 1.11~1.77mm (average 1.44mm), and the long axis was 1.27~1.91mm (average 1.63mm), which was investigated in a slightly round shape (subglose). While no germination was observed at all conditions, Embryo growth was observed at 5 ℃ both in the control group and with GA3treated groups. Thus, seeds of E. stellata are classified as morphological physiological dormancy (MDP), which requires embryonic development and dormant break at the same time. These results can be useful information for determining morphological physiological seed dormancy and germination, and will be an important basic data for seed propagation of E. stellata as a resource.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.291-296
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• 2024

This study analyzed various machine learning models that predict employment outcomes after vocational training using pre-assessment data of disabled vocational trainees. The study selected and utilized the most appropriate machine learning models based on a data set containing various personal characteristics, including trainees' gender, age, and type of disability. Through this analysis, the goal is to improve the employment rate and job satisfaction of disabled trainees using only pre-assessment data. As a result, it presents a universal approach that can be applied not only to people with disabilities, but also to vocational trainees from a variety of backgrounds. This is expected to make an important contribution to the development and implementation of tailored vocational training programs, ultimately helping to achieve better employment outcomes and job satisfaction.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.165-177
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• 2023

Field surveys were conducted at a total of 50 locations targeting naturalized plants on Ulleung-do. A total of 109 taxa were identified, including the list of naturalized plants in the preceding literature. The naturalized plants of Ulleung-do had a high proportion of Asteraceae, which appeared frequently in the habitat of the ruderal type. There were no naturalized plants that settled only on Ulleung-do, and all naturalized plants found on Ulleung-do first settled on the Korean Peninsula. This was proved by the high rates of epecophyten (90.8%) and the introduction period 2nd (70.6%). On the other hand, among ecosystem-disturbing species that have a great influence in the inland of the Korean Peninsula, Hypochaeris radicata and Rumex acetosella appeared in a limited area in Ulleung-do. On the other hand, Lapsana communis appeared in high density along the forest edge, requiring management of naturalized plants different from those in the Korean Peninsula. Naturalized plants on Ulleung-do showed a rapid increase in the 1990s after increased academic research, coastal road development, and other development projects. This highlights the necessity for continuous research on the pattern of naturalized plant occurrence after the completion of the Ulleung Airport, which is currently under construction.

• Journal of Korean Society of Forest Science
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• v.80 no.4
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• pp.383-392
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• 1991

The genetic variation of Pinus densiflora and Pinus thunbergii by Giemsa C-banding was investigated and the results were as follows : 1. From Karyotype analysis of P. densiflora and P. thunbergii by Giemsa C-banding, somatic chromosome numbers of both species were 2n=24. 2. Chromosome of P. densiflora was M-type in arm ratio and they were no variation among individuals but variation in number and position of the secondary constriction and telomere banding among individuals. 3. P. thunbergii showed also M-type in arm ratio of chromosome, however, there was no variation in both number and position of the secondary constriction among individuals. 4. From chromosome C-banding, bands were appeared in the position of centromere and the secondary constriction in both P. densiflora and P. thunbergii. 5. In P. densiflora, the bands were shown on the secondary-constriction in chromosome No. 3, 4 and 7 of all individuals and the bands of the secondary constriction in chromosome No. 1, 2 and 5 showed variation among individuals. In chromosome No. 9, 10 and 11, the bands were shown in telomere and showed variation among individuals. 6. In P. thunbergii, the bands were shown on the secondary constriction in chromosome No. 2, 3, 7 and 8, and were shown no variation among individuals. There was no band on telomere. 7. The genetic variation by C-banding were shown in P. densiflora among individuals but no in P. thunbergii, and were shown on the secondary constriction in chromosome No. 4 of Pinus densiflora and in clnromosome No. 8 of Pinus thunbergii. These are the difference between the two species by C-banding.