• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.37 no.3
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• pp.241-252
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• 2024

With the recent development of emerging technologies, information acquisition and delivery between users has been actively conducted, and inorganic thin film transfer technology that effectively transfers various materials and devices is being studied to develop flexible electronic devices accordingly. This is aimed at innovative structural changes and functional improvement of electronic devices in the era of the Internet of Things (IoT). In particular, advanced technologies such as microLEDs are used to realize high-resolution flexible displays, and the possibility of heterogeneous integrated technologies can be presented by precisely transferring materials to substrates through various transfer process. This paper introduced physical, chemical, and self-assembly transfer methods based on inorganic thin film materials to implement heterogeneous integrated flexible semiconductor systems and introduces the results of application studies of semiconductor devices obtained through different transfer technologies. These studies are expected to bring about innovative changes in the field of smart devices, medical technology, and user interfaces in the future.

• Journal of KIBIM
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• v.13 no.3
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• pp.12-20
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• 2023

Deep learning-based anomaly detection technology is used in various fields such as computer vision, speech recognition, and natural language processing. In particular, this technology is applied in various fields such as monitoring manufacturing equipment abnormalities, detecting financial fraud, detecting network hacking, and detecting anomalies in medical images. However, in the field of construction and architecture, research on deep learning-based data anomaly detection technology is difficult due to the lack of digitization of domain knowledge due to late digital conversion, lack of learning data, and difficulties in collecting and processing field data in real time. This study acquires necessary data through IoT (Internet of Things) from the viewpoint of monitoring for environmental management of architectural spaces, converts them into a database, learns deep learning, and then supports anomaly patterns using AI (Artificial Infelligence) deep learning-based anomaly detection. We propose an implementation process. The results of this study suggest an effective environmental anomaly pattern detection solution architecture for environmental management of architectural spaces, proving its feasibility. The proposed method enables quick response through real-time data processing and analysis collected from IoT. In order to confirm the effectiveness of the proposed method, performance analysis is performed through prototype implementation to derive the results.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.1
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• pp.165-170
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• 2016

Recently, IoT(Internet of Things) technology is widely applied in not only our everyday lives but also in industry, medical field and security system. NFC system, the basis of IoT, is in the spotlight which can be an alternative solution of a anti-theft system for motorcycle as they basically have practicality and security issues. Anti-theft system for motorcycle using the NFC smart devices based on RFID has been proposed. because Progress of Smart Device If someone get the Key for motorcycle theft, he can be easily stolen motorcycle. We thought about the concept of NFC security devices as a wireless key and automatic solenoid valve for setting the lock and unlock module. In this study, we designed motorcycle smart key system with general-purpose NFC system and the automatic solenoid valve for setting the lock and unlock module. First, we designed control unit and NFC card reader for motorcycle smart key system. Then we propose an AES encryption algorithm and prove that the motorcycle key system is controllable by showing the result of implementing and testing, after installing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.215-216
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• 2017

In recent years, the quality of our lives has been improved by providing services that utilize IoT(Internet of Things) technology in various fields. The information obtained through IoT technology provides a basis for actively providing services that people want. However, in the field of smart healthcare, there are a lot of restrictions due to legal regulations and policies due to the scope of handling not only personal information but also simple medical information. Therefore, this study examines the legal systems and policies in the field of smart healthcare and examines the direction of smart healthcare.

• Asian Journal of Innovation and Policy
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• v.12 no.1
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• pp.054-074
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• 2023

With the advent of the '4th Industrial Revolution', digitalization using AI (Artificial Intelligence), big data, IoT (Internet of Things), cloud computing and mobile is accelerating across all industries and global companies have fundamentally reorganized customer experiences, business models, and operations centering on digital transformation. Business innovation drives productivity improvement, process simplification, price, competitiveness and sustainable expansion. Whether digital transformation will be necessary for the current industrial environment is no longer important, and how quickly companies achieve digitalization has emerged as the utmost crucial element in industrial continuity. As non-face-to-face and remote technologies have begun in earnest, and accelerated in the pharmaceutical industry. They are looking for ways to provide value, generate profits, improve efficiency, and sustain the future. Compared to other industries, the pharmaceutical-related sectors have shown high interest in digital transformation especially to reduce costs and meet the challenge of delivering products during the pandemic environment.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.63-70
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• 2022

This study is a study that collects and analyzes data through An autoethnographyon as one of method of qualitative research, through which researcher have experienced firsthand in the process of developmenting and counseling there a new concept professional mental health mobile service platform as a mental health social welfare expert. The results of this study are as follows.First, there are people in Korea who are directly exposed to mental health issues and need to receive professional medical services, but there are also quite a few members of the public who have a desire for general mental health services, although the level of therapeutic intervention is not required. Second, considering the characteristics of modern society and especially in the pandemic situation of infectious diseases such as COVID-19, more and more people are preferring various mental health service platforms using mobile devices. Third, all generations complain of mental health issues such as family problems, stress, interpersonal relationships, and occupations, and other mental health problems such as self-harm and suicide accidents are frequently mentioned in connection with mental disorders such as depression, anxiety disorder, addiction, and post-traumatic stress disorder. Fourth, youngth s were exposed to various mental health-related issues, and above all, they were complaining of serious mental health problems such as self-harm and suicide accidents. Fifth, in delivering professional mental health services, mental health experts with the ability also to provide professional services online through mobile devices are needed as well offline. Finally, based on the results of this study, policy and practical suggestions related to the provision of mental health services in the future, and directions for follow-up studies were suggested.

• Journal of Internet of Things and Convergence
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• v.6 no.1
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• pp.45-53
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• 2020

This study aimed to examine the relationship of the knowledge of end-of-life(EOL) care, life-sustaining treatment(LST), and advance directive(AD) with the educational needs regarding AD writing among nurses in convergence era. For this cross-sectional study, participants were 169 nurses at a general hospital in South Korea. Data were collected from July 19 to 26 in 2018 using structured questionnaires. Knowledge on EOL care scored 8.56 out of 11 points, knowledge on LST scored 5.11 out of 6 points, and knowledge on AD scored 8.02 out of 9 points. Educational needs regarding AD writing scored 4.31 out of 5 points. There were statistically correlations between knowledge on LST and educational needs regarding AD writing (r=.182, p=.018), and between knowledge on AD and educational needs regarding advance AD writing (r=.234, p=.002). The findings can be used to develop the educational program regarding AD.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.35-47
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• 2022

This study aims to identify the degree of job stress related to COVID-19, emotional labor, empowerment, and retention intention of nurses in hospitals dedicated to infectious diseases, and confirmed the effect of job stress related to COVID-19, emotional labor, and empowerment on retention intention. The data collection of this study was conducted from August 27, 2021 to September 17, 2021 through a structured questionnaire targeting 162 nurses at an infectious disease hospital in S city. The data were analyzed analyzed using frequency and percentage, mean and standard deviation, t-test, ANOVA, Pearson's Correlation Coefficient, and multiple linear regression using SPSS/WIN 25.0. As a result of analyzing differences according to general characteristics, retention intention showed a significant difference according to work department and work satisfaction. And as a result of analyzing the correlation between retention intention and COVID-19 related job stress, emotional labor, and empowerment, it showed a significant negative correlation (r=-0.215, p=0.006) with job stress related to COVID-19 and a significant positive correlation (r=0.343, p<0.001) with empowerment. As a result of multiple linear regression analysis, job satisfaction, job stress related to COVID-19, and empowerment were identified as significant variables affecting retention intention (F=23.751, p<0.001), and the explanatory power was 30.0%. Through the above results, we intend to provide basic data for strategic development for efficient nursing manpower management.

• Journal of Internet of Things and Convergence
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• v.7 no.4
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• pp.51-58
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• 2021

This study is a quasi-experimental study designed to examine the effects of color therapy on job stress and depression by applying color therapy to intensive care unit nurses. The subjects of this study were S hospital located in S city, a secondary medical institution with 500 beds, P hospital located in B city, and nurses in the intensive care unit of two general hospitals. The data collection period was 8 weeks from November 2, 2020 to December 25, 2020, with 29 patients in the experimental group and 29 in the control group. The data were analyzed by chi-square test, independent t-test and paired t-test using the SPSS WIN 22.0 program. The experimental group applied color therapy twice a day (before and after work) using a standardized canvas frame painted in yellow, red, blue, and three colors, and a total of 20 times for 10 days, and the control group lived and woked as usual without appiled color therapy. As a result of study, the experimental group showed a significant decrease in job stress score by 0.43 points and depression score by 0.26 points compared to the control group

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.1-18
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• 2020

The Internet of things (IoT) has been applied to a variety of industrial uses such as public service sectors, medical industries, automotive industries, and so on. Led by smart cities, this is typical. However, from a logistics perspective, the level of application is insufficient. This study examines the applicability of IoT-related technology in a container terminal, an object of the present invention, to derive an applicable plan. Analytic network process (ANP) analysis reveals the following results for IoT applications in container terminals: operating systems (26.7%), safety/environmental/security systems (26.4%), equipment maintenance systems (25.3%), and facility maintenance systems (21.6 %). The second ANP analysis reveals the following results: Economy (40.2%), productivity (21.1%), service level (19.5%), and utilizing technology level (19.2%). The application or standard of evaluation is important when applying IoT technology to container terminals; however, it is not concentrated in a certain area. It is desirable to build each container system with linkage and efficiency from a macroscopic view.