• Informatization Policy
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• v.25 no.3
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• pp.29-51
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• 2018

As the core technology of the Fourth Industrial Revolution, the Internet of Things has been developed and has enabled various services, and personal information has been handled freely in the process. However, the infringement threat of personal information is increasing as more convenient services are provided and more information devices including smart devices are connected to the network. Therefore, this study is to analyze prioritizing personal information protection policy indicators in order to provide IoT services by constructing secure environment for implementing the Internet of things as the core technology of the 4th Industrial Revolution. This study reviewed personal information protection policy indicators based on the literature survey, and identified 3 fields, 9 areas, and 25 indicators through Delphi analysis for experts. The weights were calculated based on the AHP survey for 66 experts and the results were used to present the relative importance and priority of the policy indexes. The results of this study found the policy field was the most important, followed by the technical field, and the administrative field. Of the three areas of the policy field, strengthening the personal information protection laws related to IoT is the most important, while among the indicators, promoting and revising the personal information protection law related to IoT is the most important. Comparisons of the fields, areas, and indicators of IoT-related personal information protection policies found consistent values. The personal information protection policy indicators derived this way will contribute to the nation's competitiveness by expanding secure IoT policies in the future.

• Land and Housing Review
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• v.10 no.3
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• pp.43-55
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• 2019

The purpose of this study is to derive indicators and development directions to be considered when planning new towns in the Seoul metropolitan area as new towns are planned to be built. To this end, the following implications were derived after analyzing the survey data of experts in each field using Frequency Analysis and Analysis of Variance(ANOVA) technique. First, the assessment results of the existing first and second phase new towns showed that there were many negative assessments of citizen participation and information sharing, smart technologies and services, social and cultural diversity and inclusion. Regarding the third phase new town, experts said that the most important indicators are accessibility and convenience of transportation, environmental comfort, quality and service of residence. In addition, experts cited the superiority of landscape/design, jobs/self-sufficiency and social/cultural diversity as important indicators. Second, after examining whether the perceptions and assessments of experts differ depending on individual characteristics such as gender, age, occupation, and professional field, the first and second phase new towns showed significant differences only in "gender", and the third phase new town had significant differences in "gender" and "professional field". Third, experts thought that changes in population structure, industry and jobs, quality of life and diversity, environment and climate change, and social and residential welfare should be considered important in the planning of third phase new town. In addition, experts considered expanding park and self-sufficient land as important in the land use plan, and ranked eco-city as a desirable type of the city, and public transportation facilities, park areas and education facilities as the most important living infrastructure.

• Spatial Information Research
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• v.23 no.5
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• pp.9-19
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• 2015

The popularity of smart devices and Location Based Services (LBSes) is increasing in part due to users demand for personalized information associated with their location. These services provide intuitive and realistic information by adopting Augmented Reality (AR) technology. This technology utilizes various sensors embedded in the mobile devices. However, these services have inherent problems due to the devices small screen size and the complexity of the real world environment; overlapping content on a small screen and placing icons without considering the user's possible movement. In order to solve these problems, this paper proposes a Mobile Augmented Reality Model with the application of Street Data. The model consists of two layers: "Real Space" and "Information Space". In the model, a user creates a query by scanning the nearby street with a camera in real space and searches accessible content along the street through the use of the information space. Furthermore, the results are placed on both sides of the street to solve the issue of Overlapping. Also, the proposed model is implemented for region "Aenigol", and the efficiency and usefulness of the model are verified.

• Journal of Korean Tunnelling and Underground Space Association
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• v.19 no.6
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• pp.1029-1044
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• 2017

The Discrete Element Method (DEM) is one of the useful numerical methods to analyze the behavior of the ground formation by computing the motion and interaction using particles. The DEM has not been applied in civil engineering but also a wide range of industrial fields, such as chemical engineering, pharmacy, material science, food engineering, etc. In this study, to review a performance of the spoke-type earth pressure balance (EPB) shield TBM (Tunnel Boring Machine), the commercial software based on the DEM technology was used. An analysis of the TBM during excavation was conducted according to two pre-defined excavation conditions with the different rotation speed of a cutterhead. During the analysis, the resistant torque at the face of the cutterhead, the compressive force at the cutterhead and shield surface, the muck discharge at the screw auger were measured and compared. Upon the two kinds of excavation conditions, the applicability of the DEM analysis was reviewed as a modelling method for the TBM.

• Journal of IKEEE
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• v.21 no.4
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• pp.397-403
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• 2017

In the modern society, psychological diseases and impulsive crimes due to stress are occurring. In order to reduce the stress, the existing treatment methods consisted of continuous visit counseling to determine the psychological state and prescribe medication or psychotherapy. Although this face-to-face counseling method is effective, it takes much time to determine the state of the patient, and there is a problem of treatment efficiency that is difficult to be continuously managed depending on the individual situation. In this paper, we propose an artificial intelligence emotion management system that emotions of user monitor in real time and induced to a table state. The system measures multiple bio-signals based on the PPG and the GSR sensors, preprocesses the data into appropriate data types, and classifies four typical emotional states such as pleasure, relax, sadness, and horror through the SVM algorithm. We verify that the emotion of the user is guided to a stable state by providing a real-time emotion management service when the classification result is judged to be a negative state such as sadness or fear through experiments.

• The Journal of Society for e-Business Studies
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• v.20 no.3
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• pp.11-28
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• 2015

Due to the mobil-centered lifestyle following the wider use of Smartphones, Mobile services, including mobile banking and mobile shopping business have increased rapidly. Also with the emergence of "Fintech", which finance combined with technology, IT based financial market is going to be highly promising. In this trend, interests mobile credit cards are increasing. But diffusion of the mobile credit card services is still in the low level. In this situation, to identify factors that influencing satisfaction and continuous usage intention on mobile credit card, this study applied innovation diffusion theory (IDT) and post acceptance model (PAM). To conducting this research, survey data were collected, and we used SmartPLS to analyze survey data. As a result of the study, perceived easy of use, image, compatibility and facilitation positively affect user's satisfaction in mobile credit cards and that such satisfaction have a positive impact on continuous intention to use. The facilitation influences user satisfaction more strongly for those who use mobile credit cards more than plastic credit cards. Also, perceived of use and image influence user satisfaction more strongly for those who use plastic credit cards more than mobile credit cards. It is expected that this study can be a guideline for credit card service providers and policy makers to invigorate mobile credit card business. Also it worths as a early-stage research on Fintech-related studies.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.7
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• pp.1075-1081
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• 2013

Twitter, Facebook, and KakaoStory are the major SNS in Korea. Social knowledge production is being produced by those services from numerous collaboration and co-participation in those SNS. Wikipedia or Naver JishikIN service was regarded as the representative product of collective knowledge production during the wired internet era. However now at the wireless internet era centered with smart phones, various forms of collective knowledge production would be achieved by connecting to SNS in real-time. In this thesis, the survey data of collective knowledge production for users of three SNS have been compared and analyzed. The difference of the collective knowledge production mechanism among Twitter, Facebook and KakaoStory has been studied and compared through three variables: the motivation of collective knowledge production, the preference of collective knowledge production model, and collective knowledge production cultural perception. As a result of the analysis of the discriminant factors for three SNS user groups, it turns out that the diversity-toward usage motivation, personal contribution motivation, and collective knowledge production tendency perception are the most influential variables. This thesis is of significance in that it unites the value of social science such as social capital and collective knowledge production from the viewpoint of computer science and opens the new chapter of collective knowledge production with the real-time SNS of wireless internet from the wired internet.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.8074-8088
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• 2015

In this study, main focus was analyzing whether the retired middle-aged people's life style and personal characteristics affect house selection attributes and there are any differences according to their life styles. The finding and implications of this study were as follows. The middle-aged people were trying to pursue leisurely and healthy life. Therefore, they prefer the high service quality of health, medical facilities, culture, leisure, and entertainment facilities. These trends were caused by the expansion of the five-days working styles, the improvements of the smart consumptions, the high levels of the education, and the high social and economic participations of the females. The overall changes in social, cultural, economical circumstances made them different from other generations. Also current middle-aged people were more challenging and active and they thought themselves young compared with the people of the older generation. In the future those middle-aged people's life style will be more diversified. Therefore new housing plans are necessary for the middle-aged popple to satisfy their diverse housing needs and housing circumstances. Based on the results of this study for the middle-aged people's life style and housing selection attributes after their retirement, more studies are necessary in new and different views. Furthermore diverse house supplies, housing marketing, housing policies should be provided for the middle-aged people for their retirement and need to study more their future housing satisfaction and their housing needs.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.10
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• pp.447-454
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• 2015

This paper proposes geographical name denoising by machine learning of event detection based on twitter. Recently, the increasing number of smart phone users are leading the growing user of SNS. Especially, the functions of short message (less than 140 words) and follow service make twitter has the power of conveying and diffusing the information more quickly. These characteristics and mobile optimised feature make twitter has fast information conveying speed, which can play a role of conveying disasters or events. Related research used the individuals of twitter user as the sensor of event detection to detect events that occur in reality. This research employed geographical name as the keyword by using the characteristic that an event occurs in a specific place. However, it ignored the denoising of relationship between geographical name and homograph, it became an important factor to lower the accuracy of event detection. In this paper, we used removing and forecasting, these two method to applied denoising technique. First after processing the filtering step by using noise related database building, we have determined the existence of geographical name by using the Naive Bayesian classification. Finally by using the experimental data, we earned the probability value of machine learning. On the basis of forecast technique which is proposed in this paper, the reliability of the need for denoising technique has turned out to be 89.6%.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.373-383
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• 2021

Our society is aging rapidly. In this super-aged society, the increase in healthcare costs are considered a national problem that undermines the sustainability of social security. Various services for healthcare for the elderly have been promoted to address this. However, most of them have focused on healthcare after the outbreak of chronic diseases and lack preventive healthcare. Most of the preventive healthcare projects are only pilots. In this paper, the current status of health care services for senior citizens at home and abroad was analyzed and based on this, the limitations and improvements were analyzed to propose the establishment of IoT-based Total Silver Care Center. IoT-based Total Silver Care Center may be conveniently monitored the health status of the elderly through various sensors, medical devices, and smart bands. And based on this, it can improve the quality of nursing services through time-saving and work efficiency of nursing providers. In addition, health care interventions may be provided in a timely manner if there is a change in the health status of users. And real-time imaging systems can help overcome mental difficulties.