• International Area Studies Review
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• v.21 no.2
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• pp.71-96
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• 2017

This study analyzes the process of overcoming the impoverishment due to the failure of North Korea planned economy through marketization. Recognizing the economic policy presented by the convergence of market and planned economy system as a economy system and focusing on the 7.1 Economic Management Measures and the 6.28 New Economic Management Measures. The marketization is classified the indigenous marketization (1990-2001), the marketization focusing on central distribution (2002-2011), the marketization focusing on production (2012-2017). The major events, the economic circular structure and the economic behavior were analyzed. Results showed as following: First, through the process of marketization starting from the expansion of farmers' market and the marketization focusing on distribution, the marketization focusing on production to the marketization focusing on finance. And as the evolution of it continues, to some extent a poverty has been overcomed. Second, corporate institutions, agricultural institutions, financial institutions and progress in becoming a market economy direction. A series of privatization starting from small one to large-scale one have been progressing. Third, in order to overcome the impoverishment completely. Through foreign investment the industrialization covering a wide range of industries are urgently needed, Domestic agricultural reform, enterprise reform, price reform, financial reform, financial reform, trade and direct investment, reform, reform, distribution, etc are needed. The economic reforms across almost all sectors are needed to be combined in a global economy Expanding employment, the acquisition of foreign currencies and the acquisition of technology in the process should also be realized. The direction of change of this series of economic structures has turned Public sector and centralized into Private sector and Decentralization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.503-514
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• 2019

This paper proposes a blockchain-based urban service-operation model that can enhance usability by integrating several data-driven services operated in a city. In the proposed model, in order to encourage the participation of service users, the providers of data and values that can be consumed and utilized by each service acquire incentives, and consumers can use various services by paying the incentives. In this way, the proposed service model provides a structure in which various services can be interworked within the incentive system. The characteristics of blockchain technology can also guarantee service operation and management transparency. In addition, in this paper, by establishing and operating a prototype, the efficiency and operability of the proposed model are verified. As a result, three implemented data-driven urban management services are organically inter-compatible based on the concept of the proposed integrated incentive system. In the future, the proposed service model can be applied as an elemental technology of urban operational and management architectures based on citizen participation using local currency, and by cooperating with local economic revitalization projects of interest to many local governments. It is expected that the expansion of the blockchain technology area will also be possible through convergence with smart city services.

• Korean Journal of Remote Sensing
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• v.35 no.5_2
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• pp.819-829
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• 2019

In the disaster of collapse, an immediate response is needed to prevent the damage from worsening, and damage area calculation, response and recovery plan should be established. This requires accurate detection of the damage affected area. This study performed the detection of the damaged area by using UAV which can respond quickly and in real-time to detect the collapse accident. The study area was selected as B-05 housing redevelopment area in Jung-gu, Ulsan, where the demolition of houses and apartments in progress as the redevelopment project began. This area resembles a collapsed state of the building, which clear changes before and after the demolition. UAV images were acquired on May 17 and July 9, 2019, respectively. The changing area was considered as the damaged area before and after the collapse of the building, and the changing area was detected using CVA (Change Vector Analysis) the Representative Change Detection Technique, and SLIC (Simple Linear Iterative Clustering) based superpixel algorithm. In order to accurately perform the detection of the damaged area, the uninterested area (vegetation) was firstly removed using ExG (Excess Green), Among the objects that were detected by change, objects that had been falsely detected by area were finally removed by calculating the minimum area. As a result, the accuracy of the detection of damaged areas was 95.39%. In the future, it is expected to be used for various data such as response and recovery measures for collapse accidents and damage calculation.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.183-189
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• 2019

The purpose of this study is to investigate the effects of mobile phone use on university students' English reading achievement and consider the value and effectiveness of mobile phones as a learning tool. The study's subjects were students from a university in Seoul, who were divided into an experimental group (n=37) and a control group (n=43). The experimental group used various mobile phone functions-such as searching, recording, taking photos, using mobile apps, and community uploads-in reading class. The control group, on the other hand, focused on students' presentations and the professor's explanations. Two achievement tests and an open-ended questionnaire were administered. The results revealed that the experimental group scored higher than the control group, which showed a significant difference. In addition, the positive impacts of mobile phone use as reported in the questionnaire were interest and motivation, self-directed learning, and continuous learning beyond time and space. In order to foster efficient second language teaching and learning, learners and also teachers must be aware of the potential value of mobile phones as a learning tool. To encourage more active mobile phone use in the classroom, diverse and interesting class activities using mobile phones should be developed.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.387-394
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• 2019

In this study, in order to evaluate the damage and deterioration of the track components of sleeper floating track (STEDEF), the field samples(specimens) were taken from the serviced line over 20 years old, and the track components were visually inspected, and investigated by laboratory tests and finite element analysis. As a result of visual inspection, the damage of the rail pad and fastener was slight, but the rubber boot was worn and torn at the edges of bottom. The resilience pads were clearly examined for thickness reduction and fatigue hardening layer. As a result of spring stiffness test of rail pad and resilience pad, the deterioration of rail pad was insignificant, but the deterioration of resilience pad exceeded design standard value. Therefore resilience pad was directly affected by train passing tonnage. As a result of comparing the deterioration state of the field sample and the numerical analysis result, the stress and displacement concentration position of the finite element model and the damage position of the field sample were coincident.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.479-487
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• 2019

The study sought to reveal the impact of focusing attitudes and cognitive emotion regulation on post-traumatic growth for adolescent athletes with trauma experiences. A preliminary survey was conducted on 215 middle and high school athletes in the S city and K provinces. The impact of focusing attitudes and cognitive emotion regulation on post-traumatic growth was verified using validated questionnaires. The results for the purpose and method of study are as follows. Focusing attitudes and cognitive emotion regulation of adolescent athletes affect post-traumatic growth. Positive reappraisal was the most influential factor affecting post-traumatic growth, followed by the factors influencing the aware, acceptance, accept, reflect and positive refocusing. In order to experience post-traumatic growth through the results of this study, it is important to understand the overall understanding and tactics of focusing attitudes and cognitive emotion regulation. Therefore, effective psychological training methods will be needed to positively control the level of focusing attitudes and cognitive emotion regulation among adolescent athletes.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.59-66
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• 2019

The purpose of this study was to investigate the effect of empowerment on organizational commitment and team performance after establishing their relationship through research on empowerment, organizational commitment, and team performance. The main results were as follows: First, empirical results showed that organizational commitment and team performance had a significant influence on the relationship between empowerment and organizational effectiveness. Second, the role of empowerment The results of this study suggest that empowerment has a positive effect on organizational commitment and team performance when the perceived fairness perception is high. In order for the company to continue to grow, the most important thing is that the cycle of continuous empowerment of its employees as a human resource is considered as an alternative to sustain the continuous growth of the organization. To this end, companies offer their future vision and goals that they can share I think we should continue to pursue changes in the organization. Based on the results of the study, the implications and limitations of the research and future direction of the research were suggested.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.547-556
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• 2019

The purpose of this study was to investigate the relationship between post-traumatic stress and depression in veterans and to examine mediating effects of ego-resilience in relation. Data were collected from 383 subjects of National Merit of the Korean War or Vietnam War with the cooperation of the Daegu Veterinary Association from March to June 2018, and the collected data were analyzed using the SPSS 24.0 Statistics Program to analyze the mediating effects of ego-resilience in post-traumatic stress and depression with hierarchical multiple regression. Post-traumatic stress was found to be high in the case of long absence(F=7.97, p<.001), unemployment(t=2.09, p=.040), poor economic condition(F=64.49, p<.001), and ego-resilience as a parameter in the relationship between post-traumatic stress and depression. Based on the results of this study, it is required to develop various programs focusing on improving ego-resilience and systematic management at the national level in order to intervene in depression of veteran.

• Journal of the Korea Society of Computer and Information
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• v.18 no.11
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• pp.39-49
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• 2013

In this paper, security mechanism of internal network(CAN) of vehicle is a very incomplete state and the possibility of external threats as a way to build a test environment that you can easily buy from the market by the vehicle's ECU(Electric Control Unit) to verify and obtain a CAN message. Then, by applying it to ECU of the real car to try to attack is proposed. A recent study, Anyone can see plain-text status of the CAN message in the vehicle. so that in order to verify the information is vulnerable to attack from outside, analyze the data in a vehicle has had a successful attack, but attack to reverse engineering in the stationary state and buying a car should attempt has disadvantages that spatial, financial, and time costs occurs. Found through the car's ECU CAN message is applied to a real car for Potential threats outside of the car to perform an experiment to verify and equipped with a wireless network environment, the experimental results, proposed method through in the car to make sure the attack is possible. As a result, reduce the costs incurred in previous studies and in the information absence state of the car, potential of vehicle's ECU attack looks.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.97-117
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• 2021

Predicting term deposit subscriptions is one of representative financial marketing in banks, and banks can build a prediction model using various customer information. In order to improve the classification accuracy for term deposit subscriptions, many studies have been conducted based on machine learning techniques. However, even if these models can achieve satisfactory performance, utilizing them is not an easy task in the industry when their decision-making process is not adequately explained. To address this issue, this paper proposes an explainable scheme for term deposit subscription forecasting. For this, we first construct several classification models using decision tree-based ensemble learning methods, which yield excellent performance in tabular data, such as random forest, gradient boosting machine (GBM), extreme gradient boosting (XGB), and light gradient boosting machine (LightGBM). We then analyze their classification performance in depth through 10-fold cross-validation. After that, we provide the rationale for interpreting the influence of customer information and the decision-making process by applying Shapley additive explanation (SHAP), an explainable artificial intelligence technique, to the best classification model. To verify the practicality and validity of our scheme, experiments were conducted with the bank marketing dataset provided by Kaggle; we applied the SHAP to the GBM and LightGBM models, respectively, according to different dataset configurations and then performed their analysis and visualization for explainable term deposit subscriptions.