• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.447-463
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• 2022

Artificial Intelligence (AI) technology is a major technology that develops smart ships into autonomous ships in the marine industry. Autonomous ships recognize a situation with the information collected without human judgment which allow them to operate on their own. Existing ship systems, like control systems on land, are not designed for security against cyberattacks. As a result, there are infringements on numerous data collected inside and outside the ship and potential cyber threats to AI technology to be applied to the ship. For the safety of autonomous ships, it is necessary to focus not only on the cybersecurity of the ship system, but also on the cybersecurity of AI technology. In this paper, we analyzed potential cyber threats that could arise in AI technologies to be applied to existing ship systems and autonomous ships, and derived categories that require security risks and the security of autonomous ships. Based on the derived results, it presents future directions for cybersecurity research on autonomous ships and contributes to improving cybersecurity.

• Journal of Biomedical Engineering Research
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• v.43 no.6
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• pp.424-433
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• 2022

As the proportion of non-contact telemedicine increases and the number of electrocardiogram (ECG) data measured using portable ECG monitors increases, the demand for automatic algorithms that can precisely analyze vast amounts of ECG is increasing. Since the P, QRS, and T waves of the ECG have different shapes depending on the location of electrodes or individual characteristics and often have similar frequency components or amplitudes, it is difficult to distinguish P, QRS and T waves and measure each parameter. In order to measure the widths, intervals and areas of P, QRS, and T waves, a new algorithm that recognizes the start and end points of each wave and automatically measures the time differences and amplitudes between each point is required. In this study, the start and end points of the P, QRS, and T waves were measured using six Deep Neural Networks (DNN) that recognize the start and end points of each wave. Then, by synthesizing the results of all DNNs, 12 parameters for ECG characteristics for each heartbeat were obtained. In the ECG waveform of 10 subjects provided by Physionet, 12 parameters were measured for each of 660 heartbeats, and the 12 parameters measured for each heartbeat well represented the characteristics of the ECG, so it was possible to distinguish them from other subjects' parameters. When the ECG data of 10 subjects were combined into one file and analyzed with the suggested algorithm, 10 types of ECG waveform were observed, and two types of ECG waveform were simultaneously observed in 5 subjects, however, it was not observed that one person had more than two types.

• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.341-356
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• 2022

This study aims to derive the implications of actor-network theory in science education research. To this end, previous studies applying the actor-network theory were analyzed. The study results show that educational research using actor-network theory can be divided into three main approaches. First, ANT was used as an epistemological perspective to construct an educational method or perspective, Second, ANT was used as an ontological perspective to recognize non-human agency, Third, ANT was used as a methodology for educational research. Based on the results, the possibility of contributing to science education research is discussed. As a new theoretical point of view, we hope that actor-network theory will be meaningful in science education practice and empirical research.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.361-366
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• 2022

Recently, with the development of convergent media, the digital animation industry has developed a variety of content centered on the role of Intellectal Property. The excellent IP role image has created huge economic benefits in business. This paper selects three representative Intellectual Property animation cases from Japan, the United States and China. Analyzed of the reuse of IP animation character images and combined with the era technology and the style of culture and art, the traditional cultural IP roles are reconstituted into modern character design two aspects. Through the research of this paper, can understand the expansion possibility of IP animation according to the use of character image. It is expected that when making digital animation, can recognize the importance of intellectual property and use it as a reference for role development.

• Journal of Korea Entertainment Industry Association
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• v.15 no.5
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• pp.69-83
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• 2021

To understand 'Moving up the charts' as a dynamic phenomenon in the K-pop entertainment industry, this study specifically analyzed the 'Moving up the charts' of 「Rollin'」 sung by 'Brave Girls'. First, the context and process related to 「Rollin'」 were described in detail, and the performance as a sound source and business were described. Subsequently, six factors were analyzed and presented as causes for 'Moving up the charts': 'Existence of specific possible triggers', 'Attractions of content itself', 'Inflow of new male fans', 'Turning weaknesses into strengths as idol', 'Psychological empathy with stories of real group' and 'Fast response and communication of agency'. Due to the influence of 'Moving up the charts', two changes were presented: 'Expansion of popularity and interest and expansion beyond songs' and 'Forming a consumer group with high purchasing power'. Through this, this study discussed the meaning, role, and possibility of 'Moving up the charts' in the K-pop entertainment industry. In the future, it will be necessary to recognize 'Moving up the charts' in the music market as a remarkable phenomenon, and to understand the importance of new idol consumer class as well as the use of related media such as YouTube.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.4
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• pp.41-50
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• 2021

Purpose: This study is aimed at the case of the cognitive health design pilot projects promoted by the Seoul Metropolitan Government since 2014 in terms of design to solve social problems in accordance with the aging population of our society. The purpose of this study is to analyze the maintenance and management of the projects and to suggest implications for the promotion and expansion of sustainable cognitive health design in the future. Method: It set the analysis frame by dividing management into maintenance-damage-demolition for the spatial types and spatial elements suggested in the Seoul Cognitive Health Guidelines. And it analyze the actual conditions of four pilot projects based on the field survey. Results: First, the ratio of damage and demolition was higher than maintenance. Second, designs and techniques with low durability were applied. Most of the cases where floor marks were applied to the external environment were lost or difficult to recognize, and their functions were limited due to storage of goods and parking of vehicles and motorcycles. Third, there was a large variation according to the type of residence. The project contents that can be applied to the low-rise residential area were also limited, and more elements were demolished than in the apartment type. Implications: First, it should limit project contents of space types and space elements that can be maintained even over time. Second, it should seek sustainable design and technical solutions. Third, it should seek alternatives to cognitive health design in low-rise residential areas where a large number of elderly people live.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.351-359
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• 2022

In this paper, this app is an online learning tool web application that helps learners learn efficiently. It discusses how learners can improve their learning efficiency in these three aspects: retrieval practice, systematization, metacognition. Through this web service, learners can proceed with learning with a flash card-based retrieval practice. In this case, a method of managing a flash card in a form similar to a directory-file system using a composite pattern is described. Learners can systematically organize their knowledge by converting flash cards into a mind map. The color of the mind map varies according to the learner's learning progress, and learners can easily recognize what they know and what they do not know through color. In this case, it is proposed to build a deep learning model to improve the accuracy of an algorithm for determining and predicting learning progress.

• Proceedings of the SCSK Conference
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• 2003.09a
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• pp.338-351
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• 2003

UV radiation is the most dangerous stress factor among permanent environmental impacts on human skin. Consequences of UV exposure are aberrant tissue architecture, alterations in skin cells including functional changes. Nowadays new kinds of outdoor leisure-time activities and changing environmental conditions make the question of sun protection more important than ever. It is necessary to recognize that self-confident consumers do not consider to change their way of life, they demand modern solutions on the basis of new scientific developments. In the past one fundamental principle of cosmetics was the use of physical and organic filter systems against damaging UV-rays. Today new research results demonstrate that natural protecting cell mechanisms can be activated. Suitable biological actives strongly support the protection function not from the surface but from the inside of the cell. A soy seed preparation (SSP) was proven to stimulate natural skin protective functions. The major functions are an increased energy level and the prevention of DNA damage. These functions can I be defined as biological UV protection. The tumor suppressor protein p53 plays a key role in the regulation of DNA repair. p53 must be transferred into the phosphorylated form to work as transcription factor for genes which are regulating the cell cycle or organizing DNA repair. A pretreatment with SSP increases the phosphorylation rate of p53 of chronically UV-irradiated human keratinocytes significantly. According to the same test procedure SSP induces a dramatic increase in the expression of the tumor suppressor protein p14$^{ARF}$ that is supporting the p53 activity by blocking the antagonist of p53, the oncoprotein Mdm2. Mdm2, a ubiquitin E3-ligase, downregulates p53 and at the same time it prevents phosphorylation of p53. The positive influence of the tumor suppressor proteins explains the stimulation of DNA repair and prevention of sunburn cell formation by SSP, which was proven in cell culture experiments. In vivo the increased skin tolerance against UV irradiation by SSP could be confirmed too. We have assumed, that an increased repair potential provides full cell functionality.y.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.1
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• pp.23-28
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• 2023

The installation rate of AMI(: Advanced Metering Infrastructure) capable of automatic electricity measurement is less than 43% nationwide and 10.5% in rural areas, which is very poor. Therefore, for the smart grid, automatic information recording of the watt-hour meter is required. For this purpose, it is necessary to develop a system capable of remote meter reading and use control by improving the existing watt-hour meter. In this paper, in order to enable the AMI function of the existing electricity meter, the remote meter reading and control technology of the existing electricity meter for AMI, the core of the smart grid, was developed using IoT and AI. The main research content was to recognize numbers using Tensorflow and Open-cv to convert it into a power meter sensing device for SG. We confirmed and checked the performance using the protyope system.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.2
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• pp.277-294
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• 2023

As more consumers have turned to online shopping since the COVID-19 pandemic, communication through offline channels has also entered a new phase. Young consumers recognize offline channels as a play space for enjoying various experience elements. Applying Pine and Gilmore's (1998) experiential economy theory, this study initially explores the structure of experience factors in the context of experiential fashion stores (RQ1). Next, we investigate the effect of experience factors on consumer loyalty by mediating store attachment (RQ2). In addition, the moderating effect of fashion innovativeness was verified (RQ3). This survey targeted members of the MZ generation who have visited experiential fashion stores. A total of 225 survey responses were analyzed using AMOS 22.0 and SPSS 26.0. First, as a result of factor analysis, the experience factors of experiential fashion stores were classified into education, escapism, and aesthetic entertainment. Secondly, as a result of structural equation modeling (SEM), all three experience factors positively affected store attachment, and increased attachment positively enhanced consumer loyalty. Finally, as a result of multigroup SEM analysis, consumers with low fashion innovativeness considered educational experience as an important factor in inducing store attachment, while consumers with high fashion innovativeness value escapism and aesthetic entertainment experiences.