• Journal of Korean Society of Forest Science
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• v.106 no.4
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• pp.487-496
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• 2017

The marketization in North Korea is spreading rapidly. This study proposes forest rehabilitation strategy for North Korea in light of their major shift toward market economy. This current trend of marketization in North Korea is now affecting the forest sector, especially the way the residents utilize small forest land. For analyzing the influence of marketization on forest management in North Korea, we reviewed the official documents issued by North Korea and related materials of North Korean marketization. The government of Kim Jong Eun has set up policies and systems regarding the spread of marketization, such as guaranteeing individuals a right to dispose certain products on their own and establishing a special economic zone to attract foreign investments. In the forestry sector, the North Korean government has been trying to fully implement its forest restoration plan by carrying out measures like re-claiming of sloping lands that had been previously used by residents. However, as marketization progresses, it is expected that there lies much difficulty in government-led massive mobilization for forest restoration due to the increase of illegal logging to meet high demand for timber, illegal firewood harvesting, collecting non-timber products for livelihoods and illegal crop cultivation to sell in the market. Therefore, South Korea's support for forest restoration should also consider the recent marketization phenomenon in North Korea. It is necessary to formulate strategic measures such as conducting joint commercialization project on agroforestry management using cooperative farming unit, helping to improve income source from small forest lands, and to activate a comprehensive mountain village special economic zone by utilizing forest business. We do hope that our proposed forest rehabilitation strategy in this paper regarding the changes in North Korea's marketization and forest policy can give a meaningful suggestion on supporting forest restoration in North Korea in an effective way.

• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.617-625
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• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• Journal of Korean Society of Forest Science
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• v.96 no.5
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• pp.510-514
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• 2007

The main purpose of this study was to develop Mountain Search and Rescue System for enhancing search and rescue operations in the mountains. This study also focused on presenting an alternative to using a cellular phone for requesting rescue due to their unreliability in remote areas. This system is designed to help in the search and rescue of people in emergency situations in the mountains. It is composed of buzzer sensors, environmental information sensors, and a statistical analysis program. A key feature of this system is that it does not require an infrastructure of internet or CDMA networks for its operation in the mountains. The measure for the study was conducted by using a zigbee protocol analyzer, RF module and 433MHz Helical antenna to analyze the rate of data reception in relation to the distance between nodes. This system is applicable to mountains provided the distance between nodes is over 100 m and under 150 m.

• Journal of the Korean Wood Science and Technology
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• v.36 no.2
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• pp.9-20
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• 2008

Anatomical comparison of 3 North American species with commercial name of redcedar was executed to provide taxonomic information for prevention of confusion and establishment of sound business transaction in the wood market. Eastern redcedar (Juniperus virginiana) and southern redcedar (Juniperus silicicola) could not be separated on the basis of microstructure and ultrastructure of wood. Western redcedar (Thuja plicata), however, appeared to be obviously separated from eastern and southern redcedar in a number of microscopic and ultramicroscopic features. Useful features for separating these two groups were intercellular spaces in transverse surface, latewood width, radial intertracheid pitting, warty layer and pits with torus extensions in tracheids, ray composition, nodular end walls in ray parenchyma cells, and cross-field pitting.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.111-116
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• 2017

This paper proposes a data mining approach to predicting stock price direction. Stock market fluctuates due to many factors. Therefore, predicting stock price direction has become an important issue in the field of stock market analysis. However, in literature, there are few studies applying data mining approaches to predicting the stock price direction. To contribute to literature, this paper proposes comparing single classifiers and ensemble classifiers. Single classifiers include logistic regression, decision tree, neural network, and support vector machine. Ensemble classifiers we consider are adaboost, random forest, bagging, stacking, and vote. For the sake of experiments, we garnered dataset from Korea Stock Exchange (KRX) ranging from 2008 to 2015. Data mining experiments using WEKA revealed that random forest, one of ensemble classifiers, shows best results in terms of metrics such as AUC (area under the ROC curve) and accuracy.

• Journal of Multimedia Information System
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• v.5 no.2
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• pp.99-104
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• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• Journal of Climate Change Research
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• v.9 no.3
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• pp.245-251
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• 2018

Creating Shared Value (CSV) is a new business paradigm in which enterprises benefit from social works. The goal of this study is to assess greenhouse gas emission reduction through CSV-related activities of Yuhan-Kimberly (YK) Company. YK Company has planted over 50 million trees between 1984 and 2016 as a part of CSV activities. Through planting of trees, annual $CO_2 $ emission reduction ranged from 196.2 thousand to $336.3\;thousand\;tCO_2-eq$ depending on forest type in 2016, representing 44 million to 84 million KRW. Those results indicate that the company can contribute to reduction of greenhouse gas emissions as well as obtain economic profits through CSV-related activities. Furthermore, this study provides motives for other companies interested in similar CSV projects.

• Journal of Forest and Environmental Science
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• v.23 no.1
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• pp.21-28
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• 2007

In my study, I analysed and criticised the change of applied works based on a design drawing of a private forest road in Chungchengnam province from 1990 to 2003. The aim of this study is to obtain the fundamental resources for establishment the green forest road which is environment friendly. Working expenses of forest road was gradually increased by a business year. In particular, the working expenses dramatically increased in 1999-2000. In change rate of cost of construction by works, earth work rate of the cost of constructions was declined: from 25.4% in 1990-1999, to 18.5% in 2000-2003. However, the total cost of the construction of slope protection work and structural work increased. Nevertheless the rate of the cost of constructions are not increased where as the earth work rate of the cost of constructions were reduced. The rate of the price construction materials and the cost of construction was the main causes which was led by the extension of the standard requirement of applied work and the increase of the materials of applied work. In other word, materials of structural work and slope protection work increased. If the increase of the cost of construction has seem through the increase of contractual materials and extension of the standard requirement would led to weak competitiveness of forest road. Therefore, diverse method of constructions need to apply and a new method should be developed.

• Journal of Korean Society of Forest Science
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• v.95 no.3
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• pp.342-349
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• 2006

The survey guideline of forest products statistics suggests a certain type of standard to aggregate production amount of each item such as dry bracken, raw dates, cracked nuts, It does not, however, give any information about transition ratios, which would apply to convert weights of fresh bracken into dry one, or cracked nuts into the non-cracked. This has been one of the main factors which would make the statistics unreliable. The purpose of this study is to examine the aggregation realities and to put forward some proposals to improve forest products statistics with transition ratios. Targets of this study are 10 forest products that are strongly related to the mentioned problems. With the calculated transition ratios and some assumptions the changing rate of the official statistics of 2004 production amounts ranged from -41% to 474% for the 10 subjects. The suggested figures for transitions are based only on one-year analysis results. Therefore more periods are required to improve the accuracy and the reliability, and this study would be a good starting point.

• Korean Journal of Environment and Ecology
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• v.30 no.4
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• pp.771-782
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• 2016

For basic information collection for the ecological management of forest vegetation in Korean island areas, forest vegetation between inhabited(Daemodo) and uninhabited(Gudo) island was classified in the Z-M phytosociological method and their ecological characteristics in terms of both floristic composition and structure analyzed. Forest vegetation of Daemodo and Gudo were divided into a total of 11 units and 8 units, respectively. Total cover and species diversity index(H') of forest vegetation showed significant differences between the two island, Daemodo has a high value in the tree layer, but, Gudo has a high value in the shrub layer. Composition of Life forms, Daemodo was N-$R_5-D_2$-e and Gudo MM-$R_5-D_2$-e. Family importance value(FIV), Daemdo has a high value in Theaceae(12.2) and Pinaceae(12.0) and Gudo in Lauraceae(16.5) and Fagaceae (11.6). The percentage of the total number of species in the family level, Daemodo is Asteraceae(4.5%) was the highest and Gudo is Liliaceae(7.3%). Indicator species of forest vegetation of the two islands, Daemodo is Nanophanerophytes(N) including Smilax china, Ligustrum japonicum and Eurya japonica was significant inicator species and Gudo is Megaphanerophytes(MM) including Dendropanax morbiferus, Castanopsis sieboldii and Actinodaphne lancifolia.