• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.291-301
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• 2018

The purpose of this study is to investigate the factors that affect the perceived awareness and the intention of continuous use by FinTech users and system characteristics. Data collection was carried out by targeting and surveying 600 people living in Gwangju, and office workers using smartphones. As a result, first, self-efficacy, innovation, and fitness for Fin-Tech services were found to influence the degree of perceptual awareness and intent to use of Fin-tech service users. Second, the system characteristics have a positive effect on perceived awareness and intention of using FinTech service. Third, the hypothesis about the dangers in the user attributes and system properties were dismissed. It seems that the priority concern was regarding the leakage of personal information and security as privacy and the increasing damage cases of financial fraud by electronic financial transactions spill. Therefore, in order to spread FinTech services, it would be effective if a Fin-Tech service strategy could eliminate inconveniences such as the risk of hindering convenience and intention to use by the marketing strategy established by the company.

• Journal of Digital Contents Society
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• v.10 no.3
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• pp.433-439
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• 2009

With the help of fast growing popularization of internet, all areas of e-Health have expanded rapidly; such that people have become interested in digital personal health record and its management. This paper examined the characteristics of personal health record and made the analysis of the structure of Google Health, the internet-based personal health record system. Google Health allows you to store and manage all of your health information, import medical records from hospitals and pharmacies, share your health records, and explore online health services. This examples represents not only a significant change of current medical systems but also enables to estimate the future stream of it. As a result, this paper, in the areas of e-Health which will be expanded in various service areas, may give you a greater sense of importance of personal health record and will eventually provide more complemental structure of future personal health record through comparative studies on the strength and weakness of it.

• Informatization Policy
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• v.23 no.1
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• pp.56-73
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• 2016

The Internet of Things (IoT) is expected to provide new business opportunities by connecting devices, persons, and their data. However, the value proposed by IoT cannot be realized without trust. As IoT premises on the seamless connections, it should guarantee trust among the connected persons and things. However, there is lack of relevant discussion on how to achieve trustworthy connections and interactions because most of academic studies have mainly focused on the development of IoT platforms and applications. To fill the gaps, recent EU-funded projects such as uTRUSTit, ABC4Trust, Inter-Trust, COMPOSE, and SMARTIE have been conducted under the FP7-ICT Framework Programme. This paper presents and discusses each project's purpose and approach. Although their approaches are somewhat different from each other, all of them dedicate to achieving both privacy and security by providing the trustworthy connections. It seems to be clear that Korea also needs more academic and practical contribution in terms of researches, to implement "trust"among connected things, which will eventually satisfy what really IoT is expected for.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.6
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• pp.16-23
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• 2007

Changeable biometrics has been developed as a solution to problem of enhancing security and privacy. The idea is to transform a biometric signal or feature into a new one for the purposes of enrollment and matching. In this paper, we propose a changeable biometric system that can be applied to appearance based face recognition system. In the first step when using feature extraction, ICA(Independent Component Analysis) coefficient vectors extracted from an input face image are replaced randomly using their mean and variation. The transformed vectors by replacement are scrambled randomly and a new transformed face coefficient vector (transformed template) is generated by combination of the two transformed vectors. When this transformed template is compromised, it is replaced with new random numbers and a new scrambling rule. Because e transformed template is generated by e addition of two vectors, e original ICA coefficients could not be easily recovered from the transformed coefficients.

• Journal of The Korea Institute of Healthcare Architecture
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• v.16 no.3
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• pp.37-48
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• 2010

This study analyzes the present condition of the elements of a healing environment of the waiting rooms in outpatient clinics of children' hospitals (3 hospitals in Seoul) so as to propose a design to build a healing environment within the children' hospital. And analyzing the importance, satisfaction and preference of the healing environment in the waiting rooms, this paper has come to the following conclusions: 1)The study shows that the space structure of outpatient clinics in children' hospitals are composed of 1 story or 2 stories and designed in a duplication design or a dispersed alcove design. 2)The waiting room of the SC Hospital, with an area of 66.56$m^2$, and the waiting room of the SU Hospital, with an area of 38.78$m^2$ received the highest score for its space. 3)As most patients visit the hospital with their guardian, the waiting room should also be someplace families can rest and share information with others. 4)It is essential to build an environment that eliminates stress elements that patients may come to face by minimizing noise and elements that obstruct the view for mental stability. 5)The results show that those who took part in the survey preferred the following, respectively, healing environment design for the waiting room in the outpatient clinic at children' hospital: Pleasantness>Easiness in finding one' destination>Artificial materials>Natural materials>Environment like that at home>Co-promotion spaces>Space that supports the patients'activities>Openness>Sociality>Safety/Security>Approachability and Privacy. The results also show that healing conditions respect these preferences.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.25-39
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• 2016

The drone is an unmanned aerial vehicle which has no human pilot. Drones can be classified into military drones, commercial drones, and personal drones by usage. Also, drones can be classified from large-sized to nano-sized drone by size and autonomous, remote controlled drone by control type. Especially, military drones can be classified into low-altitude drones, medium-altitude, and high-altitude drones by altitude. Recently, the drone industry is one of the fast growing industries in the world. As drone technologies have become more advanced and cost-effective, Korean government has set its goal to become a top-level country in drone business. However, the government's strict regulation for drone operations is one of the biggest hurdles for the development of the related technologies in Korea and other countries. For example, critical problems for drone delivery can be classified into technical issues and institutional issues. Technical issues include durability, conditional awareness, grasp and release mechanisms, collision avoidance systems, drone operating system. Institutional issues include pilot and operator licensing, privacy rules, noise guidelines, security rules, education for drone police. This study analyzes the trends of the drone industry from the viewpoint of technology and regulation. Also, we define the business areas of drone utilization. Especially, the drone business types or models for public sector are proposed. Drone services or functions promoting public interests need to be aligned with the business reference model of Korean government. To define ten types of drone uses for public sector, we combine the business types of government with the future uses of drones that are proposed by futurists and business analysts. Future uses of drones can be divided into three sectors or services. First, drone services for public or military sectors include early warning systems, emergency services, news reporting, police drones, library drones, healthcare drones, travel drones. Second, drone services for commercial or industrial services include parcel delivery drones, gaming drones, sporting drones, farming and agriculture drones, ranching drones, robotic arm drones. Third, drone services for household sector include smart home drones.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.115-124
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• 2021

The outbreak of covid-19 has brought the characteristics and advantages of non-contact services to increased prominence, and the development of smart hotels"has accelerated. This study aims to identify, categorize and define the smart service experience at different touch points of the customer experience. The concept and characteristics of the smart hotel were examined based on existing research and literature. An analytical framework was designed using smart experience factors and customer touch points of smart hotels. Selected Chinese smart hotels were then examined under this framework. The case analysis results show that the customer experience design of smart hotels has developed to different degrees, in terms of interactivity, personalization, accessibility, information and privacy security. Based on the above findings, this article suggests that the design of smart hotels should use integrated data to further enhance personalized service experience.

• Journal of Platform Technology
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• v.9 no.4
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• pp.32-41
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• 2021

The EU enacted a law strongly regulating the GDPR to protect the privacy of its citizens on 25 May 2018. Compliance with GDPR is an essential prerequisite for companies to enter the European market in the global economic era. In this paper, Step-by-step measures have been defined to conclude DPA agreements for the appropriate level of protection against EU personal data transfer. To explore the benefits and expected effects of determining appropriateness at the government level. As a result, enterprises benefit from simplifying processes, reducing time, and reducing costs when entering the EU. Government-level support in response to personal data breach and communication with the EU Commission will have a positive impact, However, even after the adequacy decision, the entity continues to need activities to secure personal data through compliance with GDPR principles and obligations. Major operations of companies that comply with GDPR are also maintained as important tasks that must be observed in most cases except for the Data Protection Agreement.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.45-54
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• 2023

This study aims to examine trends so far and proactively seek future policy directions because the degree of implementation of hyper-connected society and smart technology at home and abroad cannot be overlooked at present in Korea. The method of the study focused on differentiating it from this study through literature research and comparison of major previous studies. As a result of the study, data security and maintenance, enhanced privacy of users and users, and related policy directions for entering a super-aged society were identified in the era of the 4th industrial revolution in Korea according to hyper-connected society and smart technology. Research limitations were difficulties in obtaining data and technical limitations in statistical quantification through trend analysis, although research analysis should be approached through quantitative and quantitative methods. It needs to be supplemented in future studies.

• Journal of the Korea Society for Simulation
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• v.33 no.2
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• pp.27-35
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• 2024

We aimed to shed light on the issue of perpetuating societal disparities by analyzing the impact of inherent biases present in datasets used for training artificial intelligence models on the predictions generated by Artificial Intelligence(AI). Therefore, to examine the influence of data bias on AI models, we constructed an original dataset containing biases related to gender wage gaps and subsequently created a de-identified dataset. Additionally, by utilizing the decision tree algorithm, we compared the outputs of AI models trained on both the original and de-identified datasets, aiming to analyze how data de-identification affects the biases in the results produced by artificial intelligence models. Through this, our goal was to highlight the significant role of data de-identification not only in safeguarding individual privacy but also in addressing biases within the data.