• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.705-712
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• 2021

The purpose of this study is to propose the features of autonomous DRT UX design based on level 5 autonomous vehicle applicable in 2027. As the scope of the study, the system focused on the interaction between the elderly and the in/outside of the vehicle, and the level 5 autonomous vehicle was the subject of the study. As of 2021, the targets for application were set from 60s to 90s. This study is different from previous studies in that it is a study on the features of autonomous DRT UX design that derives practical insights through direct communication with the elderly. As a research method, autonomous vehicle and DRT were theoretically considered through literature research, and based on this, cases of autonomous vehicle and DRT were analyzed. As a case study, generalization was conducted through interviews with the elderly, test-drive of autonomous vehicle, video production, survey, and VR test-drive of autonomous vehicle for the elderly. Ten features of autonomous DRT UX design were derived through focus group interview(FGI), and the derived features were classified into reservation, get on, input, driving, emergency, and get off. Through this study, I hope that it will contribute to improving mobility of the elderly and further accelerate the practical use of autonomous DRT.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.304-311
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• 2022

Although the SEAD(suppression to enemy air defenses) mission is a strategically important task in modern warfare, the high risk of direct exposure to enemy air defense assets forces to use of unmanned aerial vehicles. this paper proposes a path planning algorithm for SEAD mission for an unmanned aerial vehicle and a method for calculating the mission effectiveness on the planned path. Based on the RRT-based path planning algorithm, a low-altitude ingress/egress flight path that can consider the enemy's short-range air defense threat was generated. The Dubins path-based Intercept path planning technique was used to generate a path that is the shortest path while avoiding the enemy's short-range anti-aircraft threat as much as possible. The ingress/intercept/egress paths were connected in order. In addition, mission effectiveness consisting of fuel consumption, the survival probability, the time required to perform the mission, and the target destruction probability was calculated based on the generated path. The proposed techniques were verified through a scenario.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.659-666
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• 2020

This study is a comparative study on the impacts of workers' emotional labor influencing job stress by health care and the types of hospitals. The research used 387 questionnaires as final assay data, which were obtained by health care workers who work for hospitals or higher-level hospitals located in G-metropolitan city, JD through the direct survey method. The results are as follows. First, after analyzing the difference of emotional labor and job stress in terms of socio-demographic characteristics, there was a significant difference in both general hospital and nursing hospital: In case of general hospitals, a significant difference in emotional labor is shown based on monthly earnings and the years of employment at current hospital, and a significant difference in job stress is shown based on an academic career, the years of employment at current hospital, and the establishment classification. In case of nursing hospitals, there was a significant difference in emotional labor based on an academic career, alcohol use, and monthly earnings. Second, after analyzing the correlation between emotional stress and job stress by the type of hospital, a significant positive correlation is observed at both general hospital and nursing hospital. Third, after comparing the impacts of emotional labor on job stress by the type of hospital, it was shown that emotional labor has a significant positive impact on job stress at both general hospital and nursing hospital.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.9
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• pp.305-316
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• 2022

With the flood of digital data owing to the Internet of Things and big data, cloud service providers that process and store vast amount of data from multiple users can apply duplicate data elimination technique for efficient data management. The user experience can be improved as the notion of edge computing paradigm is introduced as an extension of the cloud computing to improve problems such as network congestion to a central cloud server and reduced computational efficiency. However, the addition of a new edge device that is not entirely reliable in the edge computing may cause increase in the computational complexity for additional cryptographic operations to preserve data privacy in duplicate identification and elimination process. In this paper, we propose an efficiency-improved duplicate data elimination protocol while preserving data privacy with an optimized user-edge-cloud communication framework by utilizing a trusted execution environment. Direct sharing of secret information between the user and the central cloud server can minimize the computational complexity in edge devices and enables the use of efficient encryption algorithms at the side of cloud service providers. Users also improve the user experience by offloading data to edge devices, enabling duplicate elimination and independent activity. Through experiments, efficiency of the proposed scheme has been analyzed such as up to 78x improvements in computation during data outsourcing process compared to the previous study which does not exploit trusted execution environment in edge computing architecture.

• The Journal of the Acoustical Society of Korea
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• v.42 no.1
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• pp.7-15
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• 2023

Recently, as interest in air quality in vehicles increases, the use of fine dust detection sensors for air quality measurement is becoming common. An axial-flow fan is inserted in the fine dust sensor installed in the air conditioning system in the vehicle to prevent dust from sinking directly on the sensor. When the sensor operates, the flow noise caused by the rotation of the axial-flow fan acts as a major noise source of the fine dust sensor. flow noise is recognized as one of the product competitiveness of fine dust sensors. In this study, the noise was gradually reduced at the same flow rate by improving the flow performance of the small axial flow fan. First, a virtual fan performance tester consisting of about 20 million grids was developed to analyze the aerodynamic performance of the target small axial-flow fan. In addition, the flow field was simulated by using compressible Large Eddy Simulation for direct computation of flow noise as well as high-accurate prediction of flow rate. The validity of numerical method are confirmed through the comparison of predicted results with experimental ones. After the effects of pitch angle on flow performance were analyzed using the verified numerical method, the pitch angle was determined to maximize the flow rate. It was found that the flow rate was increased by 8.1 % and noise was reduced by 0.8 dBA when the axial-flow fan with the optimum pitch angle was used.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.175-183
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• 2023

In a broadcasting market environment that has a close interdependence between platform operators and content operators, problems such as conflicts over program usage fees, and home shopping transmission fees are intensifying. This study attempted to analyze the environment of the domestic broadcasting market and present implications, analyze the cause of user fee conflict between the platform and PP, and propose detailed alternatives to resolve user fee conflict disputes. The results of environmental analysis on the domestic broadcasting market are as follows. First, the growth engine of the broadcasting industry has changed to direct resources such as service usage fees and content fees, and commerce is increasing. Second, as hegemony in the domestic broadcasting market changes from terrestrial to paid broadcasting and OTT, monopolies in the entire broadcasting area are being dismantled by voluntary entry. Third, the need to overhaul the existing regulatory system is increasing due to the dismantling and reorganization of the existing broadcasting market. On the other hand, this study proposed a strategy to diversify the profit structure of PP, supply program after pre-contracting, and strengthen CPS bargaining power in order to resolve disputes between paid broadcasting platforms and PP sharply. In particular, as strategies to strengthen CPS bargaining power of small and medium-sized SOs, it proposed to jointly improve CPS-related systems through IPTV and individual SOs, to redefine fees for programs and to voluntarily use programs.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.233-247
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• 2023

Recently, research on detecting objects in hidden spaces beyond the direct line-of-sight of observers has received attention. Most studies use optical equipment that utilizes the directional of light, but sound that has both diffraction and directional is also suitable for non-line-of-sight(NLOS) research. In this paper, we propose a novel method of detecting objects in non-line-of-sight (NLOS) areas using acoustic signals in the audible frequency range. We developed a deep learning model that extracts information from the NLOS area by inputting only acoustic signals and predicts the properties and location of hidden objects. Additionally, for the training and evaluation of the deep learning model, we collected data by varying the signal transmission and reception location for a total of 11 objects. We show that the deep learning model demonstrates outstanding performance in detecting objects in the NLOS area using acoustic signals. We observed that the performance decreases as the distance between the signal collection location and the reflecting wall, and the performance improves through the combination of signals collected from multiple locations. Finally, we propose the optimal conditions for detecting objects in the NLOS area using acoustic signals.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.327-351
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• 2023

This paper aims to derive success factors that successfully lead an artificial intelligence (AI) project and prioritize importance. To this end, we first reviewed prior related studies to select success factors and finally derived 17 factors through expert interviews. Then, we developed a hierarchical model based on the TOE framework. With a hierarchical model, a survey was conducted on experts from AI-using companies and experts from supplier companies that support AI advice and technologies, platforms, and applications and analyzed using AHP methods. As a result of the analysis, organizational and technical factors are more important than environmental factors, but organizational factors are a little more critical. Among the organizational factors, strategic/clear business needs, AI implementation/utilization capabilities, and collaboration/communication between departments were the most important. Among the technical factors, sufficient amount and quality of data for AI learning were derived as the most important factors, followed by IT infrastructure/compatibility. Regarding environmental factors, customer preparation and support for the direct use of AI were essential. Looking at the importance of each 17 individual factors, data availability and quality (0.2245) were the most important, followed by strategy/clear business needs (0.1076) and customer readiness/support (0.0763). These results can guide successful implementation and development for companies considering or implementing AI adoption, service providers supporting AI adoption, and government policymakers seeking to foster the AI industry. In addition, they are expected to contribute to researchers who aim to study AI success models.

• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.511-534
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• 2015

The primary goal of the present study was to examine the moderating effects of coping strategies, cultural identity, and bicultural self-efficacy on the relationship between perceived discrimination and depressive symptoms of Korean Canadian college students. Data were collected from 214 Korean Canadian college students studying in Canada through an online and offline survey. A direct effect of perceived discrimination on depressive symptoms and the moderating effects of coping strategies on the relationship between perceived discrimination and depressive symptoms were examined by using hierarchical regression analysis. And three-way interaction of perceived discrimination, coping strategies, and cultural identity, and perceived discrimination, coping strategies, and bicultural self-efficacy on depressive symptoms were examined. Results from a hierarchical regression indicated that perceived discrimination significantly predicted depressive symptoms and this finding is in line with previous studies. Second, reflective, suppressive, and reactive coping strategies did not moderate the relationship between perceived discrimination and depressive symptoms. Third, the three-way interaction effect of perceived discrimination, suppressive coping strategy, and heritage identity predicted the depressive symptoms. Low heritage identity, high level of perceived discrimination and the frequent use of suppressive coping strategy increased the level of depressive symptoms. Fourth, the three-way interaction effect of perceived discrimination, coping strategies, and bicultural self-efficacy did not predict the depressive symptoms. Limitations and applied implications of the results are discussed.

• Korean Journal of Culture and Social Issue
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• v.24 no.1
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• pp.101-130
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• 2018

Social class has become a major focus of research in the field of Western psychology due to its critical impact on human life. The Korean scholarship in psychology, however, has paid very little attention to the issue of social class despite the deepening of social stratification in the country; and the concepts and measurement they used were typically borrowed from sociology. In this study, I discussed what social class means and how it should be measured in order to emphasize the importance of the concept and its related issues. To this end, I examined a variety of theoretical backgrounds on the measurement of social class and the concept of socioeconomic status (SES)-a term commonly used as a synonym for social class. This study divided the method of measuring social class into objective social class and subjective social class, and outlined the characteristics of each approach and their main indicators. Finally, I assessed the recent trend in the Korean psychology on social class measurement. Among the 23 studies I have found, 65.2% used the objective social class index; and education was the objective indicator they most frequently employed, followed by income and occupation. Social stratification identity was used in all seven studies that applied subjective social class. And seven different words to describe social class was found. Based on these results, I concluded that there should be a call for more direct research on social class variables. In addition, I suggest that 'social class', instead of socioeconomic status, should be used as a preferred term in the future studies and propose a few notes on how to use the objective indicators and subjective social class measurement.