• Journal of Digital Convergence
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• v.18 no.10
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• pp.23-31
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• 2020

As children's participation in online activities has recently increased, online services for children are also rapidly increasing, but children are not sufficiently guaranteed their rights. The purpose of this study is to classify and analyze issues related to the children's online privacy issues in Korea through the current status and case studies of application services mainly used by children. For this purpose, this research analyzed problems related to the children's online privacy protection according to the stage of using the application. As a result of the application content analysis, 1) issues of child identification, 2) effectiveness of notice and consent, and 3) issues of children's rights as subjects of information were derived. Based on the current status analysis, the policy implications were drawn based on the children's online privacy protection in the online environment, and suggestions were made for improvement.

• Journal of Distribution Science
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• v.18 no.10
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• pp.15-23
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• 2020

Purpose: Crowdfunding can be a complementary channel in which start-ups or small companies can obtain financial help and take advantage of exploiting the online potential. To activate crowdfunding, it is necessary to consider a consumer's empathic responses. This article examines the role of empathy in the crowdfunding channel platform. We adopted the identification-commitment model to prove the role of empathy. Research design, data, and methodology: Participants were asked to read the charitable crowdfunding campaign. More than 300 young adults completed an online questionnaire and we analyzed it with structural equation modeling (SEM). To find out the role of empathy, we postulate several models which use empathy variable for different purposes. Results: We conclude that empathy has the role of moderator in the identification-commitment model. This means the high empathic response helped the relationship between identification and commitment. However, low empathic response can negatively influence the process of identification to commitment. Conclusions: This study found that virtual empathy is positively related to crowdfunding participation if we can elevate empathy in the crowdfunding channel platform. The findings also show that we need to consider empathic response when we want to raise funds for specific projects such as protecting the natural environment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.5
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• pp.129-139
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• 2011

Recently by the privacy & data security law, when a user registers the online membership, we need to take action to check a progress of identification without resident registration number. On the most of websites, I-PIN is used by identification instead of the resident registration number. However, I-PIN causes dangerous situations if someone steals the ID and a password, the personal data can be easy to exposure. In this paper, we propose the OTP, which can solve all these problems by guaranteeing the identification of unlinkability. This type of method would help the process of membership registration without fixed data like ID and a password in online so it would be very useful to security of private data.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.385-396
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• 2011

The purpose of this study was to investigate contents identification and brand community identification on the brand community. Analysis was performed for the empirical study where important variables of this framework included attractiveness, similarity, intimacy, information quality, contents identification, and community identification, loyalty. I collected the 184 data through survey and analyzed them. The data were recorded and analyzed using the SPSS 14.0 and LSREL 8.30. The brief findings of the study were as below: Given the finding of the study, users who have contents identification directly don't affect on purchase loyalty. Therefore, company intensifies users' visiting community. Users who consistently visit community have purchase loyalty. Existing studies on online brand community is a study for the identification. This study identified the dimensions of the content attribute of the content identification and brand community identification were examined by questionnaires. Accordingly, the company operating the brand community to provide more useful suggestions.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.11
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• pp.928-934
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• 2002

A natural way to cope with fault tolerant control (FTC) problems is to modify the control parameters according to an online identification of the system parameters when a fault occurs. However. due to not only difficulties Inherent to the online multivariable identification in closed-loop systems, such as modeling errors, noise or the lack of excitation signals, but also long time requirement to identify the post-fault system and implemeutation of control problems during the identification process, we propose an alternative approach based on the observer-based fault detection and isolation (FDI) and model reference adaptive control (MRAC). The proposed robust fault diagnosis method is based on a bank of observers. We also propose a model reference adaptive control with changeable reference models according to the occurred faults. Simulation results of a flight control example show the validity and applicability of the proposed algorithms.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.155-170
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• 2018

This study examines a data-driven approach for software test automation at an online shopping site. Online shopping sites typically change prices dynamically, offer various discounts or coupons, and provide diverse delivery and payment options such as electronic fund transfer, credit cards, mobile payments (KakaoPay, NaverPay, SyrupPay, ApplePay, SamsungPay, etc.) and so on. As a result, they have to test numerous combinations of possible customer choices continuously and repetitively. The total number of test cases is almost 584 billion. This requires somehow automation of tests in settling payments. However, the record playback approach has difficulties in maintaining automation scripts due to frequent changes and complicated component identification. In contrast, the data-driven approach minimizes changes in scripts and component identification. This study shows that the data-driven approach to test automation is more effective than the traditional record playback method. In 2014 before the test automation, the monthly average defects were 5.6 during the test and 12.5 during operation. In 2015 after the test automation, the monthly average defects were 9.4 during the test and 2.8 during operation. The comparison of live defects and detected errors during the test shows statistically significant differences before and after introducing the test automation using the data-driven approach.

• Nuclear Engineering and Technology
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• v.54 no.12
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• pp.4751-4758
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• 2022

Two-phase flow may almost exist in every branch of the energy industry. For the corresponding engineering design, it is very essential and crucial to monitor flow patterns and their transitions accurately. With the high-speed development and success of deep learning based on convolutional neural network (CNN), the study of flow pattern identification recently almost focused on this methodology. Additionally, the photographing technique has attractive implementation features as well, since it is normally considerably less expensive than other techniques. The development of such a two-phase flow pattern online monitoring system is the objective of this work, which seldom studied before. The ongoing preliminary engineering design (including hardware and software) of the system are introduced. The flow pattern identification method based on CNNs and transfer learning was discussed in detail. Several potential CNN candidates such as ALexNet, VggNet16 and ResNets were introduced and compared with each other based on a flow pattern dataset. According to the results, ResNet50 is the most promising CNN network for the system owing to its high precision, fast classification and strong robustness. This work can be a reference for the online monitoring system design in the energy system.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.3
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• pp.376-382
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• 2014

E-Actuator is an essential part of an eVGT, it receives the command from the main ECU and controls the vane. An e-Actuator failure can cause an abrupt change in engine output and it may induce an accident. Therefore, it is required to detect anomalies in the e-Actuator in real time to prevent accidents. In this paper, an e-Actuator fault detection method using on-line parameter identification is proposed. To implement on-line fault detection algorithm, many constraints are considered. The test input and sampling rate are selected considering the constraints. And new recursive system identification algorithm is proposed which reduces the memory and MCU power dramatically. The relationship between the identified parameters and real elements such as gears, spring and motor are derived. The fault detection method using the relationship is proposed. The experiments with the real broken gears show the effectiveness of the proposed algorithm. It is expected that the real time fault detection is possible and it can improve the safety of eVGT system.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.287-299
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• 2016

The electronic transactions over the Internet are growing across the world recently. There have been a lot of identity theft incidents during these online transactions nowaday. Therefore, a high level of identity proofing shall be carried out when using online services to deal with these matter. To prevent this kind of incident, i-PIN was introduced in Korea, which is used as an Internet Personal Identification Number. The i-PIN is designated to provide an online identification of the Internet users. As such, the unique identification numbers are provided to the internet service providers. This paper is to analyze the capabilities that the i-PIN provides, to propose the assurance security model for i-PIN. Furthermore, the security analysis results are presented. The result of this paper can be applicable to improve the applicabilities of the i-PIN.

• The Research Journal of the Costume Culture
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• v.28 no.6
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• pp.755-770
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• 2020

As the postsecondary school-age population continues to decline, universities are building identities to differentiate themselves and create a favorable impression among this cohort. We investigated the role of logo-bearing products as a way of promoting university identity, specifically, the effects of ingroup ties, ingroup affect, and centrality on attitude toward university logo products and purchase intention. This study further examined the moderating effects of perceived university prestige on the relationship between logo product attitude and in-store purchase intention, and the moderating effect of online shopping frequency on the relationship between logo product attitude and online purchase intention. We conducted a survey of undergraduate and graduate students at a university in Seoul. Survey responses (N=561) were collected and processed using SPSS 23.0. Multiple regression analysis showed that ingroup ties and affect had significant effects on product attitude. However, centrality had no significant effect on attitude toward the product. Product attitude had a direct significant effect on both in-store and online purchase intention. Perceived university prestige moderated the relationship between product attitude and in-store purchase intention. Moreover, online shopping frequency moderated the relationship between product attitude and online purchase intention. The results of this study are expected to provide fundamental knowledge for developing product strategy of logo products.