• Journal of Korean Society of Forest Science
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• v.110 no.4
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• pp.610-621
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• 2021

The soil creep, primarily caused by earthquakes and torrential rainfall events, has widely occurred across the country. The Korea Forest Service attempted to quantify the soil creep susceptible areas using a discriminant value table to prevent or mitigate casualties and/or property damages in advance. With the advent of advanced computer technologies, machine learning-based classification models have been employed for managing mountainous disasters, such as landslides and debris flows. This study aims to quantify the soil creep susceptibility using several classifiers, namely the k-Nearest Neighbor (k-NN), Naive Bayes (NB), Random Forest (RF), and Support Vector Machine (SVM) models. To develop the classification models, we downscaled 292 data from 4,618 field survey data. About 70% of the selected data were used for training, with the remaining 30% used for model testing. The developed models have the classification accuracy of 0.727 for k-NN, 0.750 for NB, 0.807 for RF, and 0.750 for SVM against test datasets representing 30% of the total data. Furthermore, we estimated Cohen's Kappa index as 0.534, 0.580, 0.673, and 0.585, with AUC values of 0.872, 0.912, 0.943, and 0.834, respectively. The machine learning-based classifications for soil creep susceptibility were RF, NB, SVM, and k-NN in that order. Our findings indicate that the machine learning classifiers can provide valuable information in establishing and implementing natural disaster management plans in mountainous areas.

• Korean Journal of Labor Studies
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• v.24 no.3
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• pp.109-142
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• 2018

This paper aims to analyze the Award wage system in Australia for construction workers. Considering low wages and precarious employment situation of construction workers in general, it is of advantage especially for them in Australia. Furthermore, it seems to be instructive for Korean construction workers, who stand in more precarious and unstable situation and furthermore are lack of fair wage and social safety. After strong and longstanding labour struggle in the late 19th century in Australia, it has been established a tripartite institution called as 'tribunal' between trade unions, employers, and the government. Under the highly institutionalized form of industrial relations, it functions as an arbitration and conciliation system between labour and management. The Award wage system stands in the middle point. This Award wage system including various welfare provisions is settled by the tribunal, today renamed as Fair Work Commission. In this wage system should be defined level of minimum wages according to the various skill levels, which are in turn connected with compulsory superannuation and Medicare as well as vocational education and training. Furthermore, it provides especially for the construction workers, who suffer from job instability, so-called 'portable benefits', which relate to long service leave and redundancy pay. Considering general conditions of precarious construction workers in Korea, In that respect, the Australian Award wage system would be very instructive for our social wage and safety system for construction workers.

• Journal of Korean Neurosurgical Society
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• v.62 no.5
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• pp.502-518
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• 2019

Objective : Since less invasive endovascular treatment was introduced to South Korea in 1994, a considerable proportion of endovascular treatments have been performed by neuroradiology doctors, and endovascular treatments by vascular neurosurgeons have recently increased. However, few specific statistics are known regarding how many endovascular treatments are performed by neurosurgeons. Thus, authors compared endovascular treatments collaboratively performed by vascular neurosurgeons with all cases throughout South Korea from 2013 to 2017 to elucidate the role of neurosurgeons in the field of endovascular treatment in South Korea. Methods : The Society of Korean Endovascular Neurosurgeons (SKEN) has issued annual reports every year since 2014. These reports cover statistics on endovascular treatments collaboratively or individually performed by SKEN members from 2013 to 2017. The data was requested and collected from vascular neurosurgeons in various hospitals. The study involved 77 hospitals in its first year, and 100 in its last. National statistics on endovascular treatment from all over South Korea were obtained from the Healthcare Bigdata Hub website of the Health Insurance Review & Assessment Service based on the Electronic Data Interchange (EDI) codes (in the case of intra-arterial (IA) thrombolysis, however, statistics were based on a combination of the EDI and I63 codes, a cerebral infarction disease code) from 2013 to 2017. These two data sets were directly compared and the ratios were obtained. Results : Regionally, during the entire study period, endovascular treatments by SKEN members were most common in Gyeonggido, followed by Seoul and Busan. Among the endovascular treatments, conventional cerebral angiography was the most common, followed by cerebral aneurysmal coiling, endovascular treatments for ischemic stroke, and finally endovascular treatments for vascular malformation and tumor embolization. The number of endovascular treatments performed by SKEN members increased every year. Conclusion : The SKEN members have been responsible for the major role of endovascular treatments in South Korea for the recent 5 years. This was achieved through the perseverance of senior members who started out in the midst of hardship, the establishment of standards for the training/certification of endovascular neurosurgery, and the enthusiasm of current SKEN members who followed. To provide better treatment to patients, we will have to make further progress in SKEN.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.77-89
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• 2018

Objective : The purpose of this study was to analyze occupational therapy intervention on the community mobility for stroke patients, and to provide evidence of intervention in the clinical fields. Methods : A systematic review was executed according to the PRISMA checklist. The accessed database was PubMed, EMBASE, Cochrane Library (CENTRAL), ProQuest Dissertations & thesis (PQDT), RISS, and KoreaMed. We included the articles published from 2005 to September 2018. RoBANS checklist was used to evaluate the quality of the articles. Included articles, totally eight, were categorized according to the type of intervention. Results : The study design of the literature was varied from two-group randomized trial, quasi-experimental study, case-control trial, one group pre-post comparison study, and cross-sectional study. In the evidence level, 6 articles were included in level II (75%). The percentage of low risk of bias in each article ranged from 52.5%~87.5%. Four studies (50%) provided intervention based on virtual reality or virtual environment. The three (37.5%) provided intervention based on the protocol, and the other (12.5%) did wheelchair training. All studies reported significant effects of the intervention. Conclusion : This systematic review provided evidences to use proper intervention in the clinical fields. Various type of studies should be conducted to prove the effect of occupational therapy intervention for community mobility.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• Journal of the Society of Disaster Information
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• v.15 no.2
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• pp.223-238
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• 2019

Purpose: This study aims at exploring implications of discourse and social practice produced by various stakeholders in politics, economy and society to provide useful material for effective disaster response in South Korea. Method: Applying the Critical Discourse Analysis model of Fairclough, this study analyzes the newspaper articles of three domestic press companies mainly about the November 2017 Pohang earthquake. Results: As a result, first, the three media companies point out the low effectiveness of disaster response manuals and evacuation training. Second, strengthening shelter services and expanding support for the victims are important for recovery from the earthquake. Third, to prevent the future damages, they suggest the implementation efforts to improve the seismic design and short message service based disaster alert system. Conclusion: Based on the findings, this study suggests to improve the practicality and effectiveness of disaster prevention measures, establish an organic and integrated disaster response system, emphasize the roles and participation of citizens, check the responsibility of experts, and make the media to form sound discourse on disaster response.

• Journal of the Society of Disaster Information
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• v.15 no.1
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• pp.1-11
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• 2019

Purpose: This study intends to determine how disaster prevention characteristics of important state-designated wooden cultural properties in Gyeongsangnam-do vary according to the surrounding environments and to examine disaster prevention measures for wooden cultural properties that fit their surrounding environments accordingly. Method: The designation status and characteristics of cultural properties in Gyeongsangnam-do and Gyeongsangbuk-do were identified, and the damage status of cultural properties in Gyeongsangnam-do and Gyeongsangbuk-do was reviewed based on the history of disasters. Also, the disaster prevention environments for 58 state-designated wooden cultural properties in Gyeongsangnam-do and Gyeongsangbuk-do were analyzed separately into mountainous area, rural area and urban area, topographic characteristics were drawn. Results: For cultural properties located in urban areas, it was found that security guards were arranged properly and disaster prevention training was carried out well. In addition, access condition to the cultural properties was adequate; prompt access to such properties was possible. In rural areas, flame retardant works have been undertaken properly and many cultural properties were found to be located on a flat ground. Mountainous areas had highly inadequate access condition to cultural properties and disasters occurred most frequently in these areas in the past. Conclution: First, for wooden cultural properties located in urban areas, it is necessary to secure the self-defense fire service manpower for an initial response and reinforce the disaster prevention education. Second, for wooden cultural properties located in rural areas, prevention projects such as insect control project and disaster prevention insurance should be carried out in order to protect the cultural properties. Third, as for wooden cultural properties located in mountainous areas, it is necessary to prepare establish to reinforce self-response capability.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.37 no.1
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• pp.68-75
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• 2019

This study aims to look at the application methods of landscape architecture in response to the 4th Industrial Revolution. The results of the analysis of trends in the 4th Industrial Revolution and the subsequent search for application methods to the field of landscape architecture are as follows. First, the 4th Industrial Revolution means innovative change based on digital technology and seeks to create value based on intelligent information technology, and continuous growth is being made through innovation. This requires expertise to collect large amounts of information and creatively rework it, and a strategy to flexibly cope with changes in the times. Second, the status of technological use in response to the 4th Industrial Revolution in the field of landscape architecture is generalizing the establishment of precise analysis results such as survey technology and global mapping using drones, three-dimensional design simulation, and VR. In the field of traditional landscape architecture, efforts are made to obtain accurate fact-finding data on landscape site components. Third, the application methods in the field of landscape science according to the 4th Industrial Revolution in the future are required to supply precision technology and supply programs in the technology sector, and to provide a shared platform. In addition, a systemically standardized process will need to be established for this. In addition, educational efforts should be continued to professional manpower training and provide economic support for the development of technologies.

• Management & Information Systems Review
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• v.37 no.4
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• pp.271-287
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• 2018

Salespersons play an important role in strengthening a firm's marketing competitiveness advantage because they provide service through the direct contact with customers. This research tests several hypothesized relationships between their career performances(incomes, job satisfaction and organizational commitment) and marketing comprtitiveness advantage. The data used in this study to measure the hypotheses is 'Human Capital Enterprise Panel Data 2015(5th) that was collected by Korea Vocational Training Institute. The results showed that the earnings was not significantly different depending on salesperson's self-directed career management. The job satisfaction and organizational commitment of the salesperson positively affected firm's marketing competitiveness advantage, but the effects of salesperson job satisfaction and organizational commitment on firm's marketing competitiveness advantage were not significantly different depending on salesperson's self-directed career management. This study confirmed that it is necessary to regard career movement as the significant resources of the marketing competitiveness advantage as self-directed career management rather than a negative point of view.

• Food Science and Industry
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• v.51 no.3
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• pp.209-217
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• 2018

Delphi technique is widely used to develop consensus on group opinion. It is important to identify the strategic technologies and evaluate technology level for the establishment of national R&D policy to upgrade technology level. The aim of this article was to reflect on Food Safety technology level by using Delphi methodology. And, competitiveness of patents and journal articles is evaluated for Korea, USA, Japan, China and EU. As a result, USA is the most competitive country for all technology categories. The average technology level of Korea was 79.5% of world-top coungry and average technological gap was 6.1 years. Korea is grouped in middle-lower class for overall food safety technology level. However, there are some variances among the level of technologies. As a result of this study, food safety research management needs to expand R&D investment and training of food safety specialist. The results of this research can be utilized to establish a road map for transportation R&D and plans.