• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.855-867
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• 2022

As the need for a deep learning accelerator increases with the development of IoT equipment, research on the implementation and safety verification of the deep learning accelerator is actively. In this paper, we propose a new side channel analysis methodology for secret information that overcomes the limitations of the previous study in Usenix 2019. We overcome the disadvantage of limiting the range of weights and restoring only a portion of the weights in the previous work, and restore the IEEE754 32bit single-precision with 99% accuracy with a new method using CPA. In addition, it overcomes the limitations of existing studies that can reverse activation functions only for specific inputs. Using deep learning, we reverse activation functions with 99% accuracy without conditions for input values with a new method. This paper not only overcomes the limitations of previous studies, but also proves that the proposed new methodology is effective.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.1
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• pp.99-111
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• 2023

Purpose : Although quantitative research on alcohol consumption among nursing students is important, qualitative research is needed to determine the subjective views of individual students, such as their feelings and thoughts, and ensure the implementation of a targeted alcohol intervention program. Q-methodology is a systematic approach that examines the subjective perspectives of individuals, including their views, beliefs, and attitudes, enabling understanding of the types and characteristics according to the individual's subjectivity structure. This study examined the subjective perceptions of drinking among freshmen in nursing college using Q methodology. Methods : Q-sorting was conducted, collecting 38 P samples and 40 statements. The data were analyzed using the PC QUANL program. The principal component factor analysis method was used for Q-factor analysis. Results : The results identified four types of drinking perceptions among freshmen in nursing college. Type 1 was "safety and health pursuit," type 2 was "friendship pursuit," type 3 was "'norm-oriented," and type 4 was "sound manners." When looking at the subjective perceptions of drinking among freshmen in nursing college, there was a common opinion that drinking should not be forced and that it is an individual choice. However, the difference in views (positive and negative) of drinking shows the need for customized educational programs and interventions suitable for each type. Conclusion : Nursing freshmen should be prepared to play an important role in health care as an educational role and model in preventing damage from drinking and maintaining health promotion throughout their life by habituating proper drinking behavior during college life. In addition, it is necessary to develop a plan to increase positive awareness of drinking among nursing students through various strategic programs that can participate in sobriety prevention programs within the university.

• Journal of The Korea Institute of Healthcare Architecture
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• v.29 no.1
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• pp.7-19
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• 2023

Purpose: Mobility impairment persons are all people who experience mobility difficulties in their daily lives, which makes up about 30% of the population in Seoul Metropolitan City; this number is expected to increase with population aging. As the number of mobility impairment persons in need of vision correction increases, it is necessary to create the Universal Design guidelines and to provide the foundation to access convenience facilities at the entrance of optical shops, a health and medical institution. Methods: Of the 2,282 optical shops located in Seoul, 252 optical shops were chosen for data collection of actual photos, from April 10, 2022 to September 4, 2022. Based on the photographs, the height difference between the entrance and the sidewalk, safety handles, and opening and closing methods of entrances were investigated, as these factors correspond to the accessibility and the mobility of the mobility impairment persons. Results: Of the 252 optical shops surveyed, 114 (45.2%) have resolved the problems of height difference through improving horizontal accessibility (61) or using ramps (53). 36 (14.3%) optical shops chose automatic doors for opening and closing methods of the entrance. Implications: The rate of installation of access convenience facilities for the entrance of optical shops is slightly lower than the rate of installation of ramps, surveyed by the Ministry of Health and Welfare. It is necessary to apply the Universal Design to access convenience facilities for the entrance of optical shops for not only the mobility impairment persons but all people, regardless of age or ability, to conveniently access healthcare services.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.4
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• pp.117-131
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• 2022

Human rights education is to acquire understanding and knowledge about human rights, to develop values, attitudes and character that respect human rights, to develop the ability to overcome human rights violations and discriminatory acts, and to protect and promote the human rights of others. In order to prevent human rights violations of the transportation vulnerable, such as the disabled, it is necessary to develop specialized human rights education plans for aviation security personnel to practice human rights perspectives. Therefore, in accordance with the 「National Civil Aviation Security Education and Training Guidelines」, specialized human rights education should be included in the initial aviation security education and regular education courses. The point is that there is a need to reexamine the aviation security education program for aviation security personnel based on the essential knowledge and educational contents for aviation security personnel to perform security screening tasks in the aviation security education course. When this happens, various efforts must be made to improve the human rights of the transportation vulnerable, such as the disabled, during the security screening process, so that human rights violations will be significantly reduced. In particular, it is necessary to enhance the ability to detect dangerous terrorist items such as weapons or explosives that can be used for illegal sabotage through practical security screening training. For aviation security and aircraft safety, efforts to improve the quality of aviation security personnel training, such as human rights training, must be continuously made while thoroughly preparing for terrorism in advance.

• Journal of Biomedical Engineering Research
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• v.44 no.2
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• pp.125-138
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• 2023

The development of AI systems for radiation therapy is important to improve the accuracy, effectiveness, and safety of cancer treatment. The current system has the disadvantage of monitoring patients using CCTV, which can cause errors and mistakes in the treatment process, which can lead to misalignment of radiation. Developed the PMRP system, an AI automation system that uses depth cameras to measure patient's fine movements, segment patient's body into parts, align Z values of depth cameras with Z values, and transmit measured feedback to positioning devices in real time, monitoring errors and treatments. The need for such a system began because the CCTV visual monitoring system could not detect fine movements, Z-direction movements, and body part movements, hindering improvement of radiation therapy performance and increasing the risk of side effects in normal tissues. This study could provide the development of a field of radiotherapy that lags in many parts of the world, along with the economic and social importance of developing an independent platform for radiotherapy devices. This study verified its effectiveness and efficiency with data through phantom experiments, and future studies aim to help improve treatment performance by improving the posture correction mechanism and correcting left and right up and down movements in real time.

• Smart Structures and Systems
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• v.31 no.4
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• pp.311-323
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• 2023

Ever since ancient times, earthquakes have been a major threat to the civil infrastructures and the safety of human beings. The majority of casualties in earthquake disasters are caused by the damaged civil infrastructures but not by the earthquake itself. Therefore, the efficient and accurate post-earthquake assessment of the conditions of structural damage has been an urgent need for human society. Traditional ways for post-earthquake structural assessment rely heavily on field investigation by experienced experts, yet, it is inevitably subjective and inefficient. Structural response data are also applied to assess the damage; however, it requires mounted sensor networks in advance and it is not intuitional. As many types of damaged states of structures are visible, computer vision-based post-earthquake structural assessment has attracted great attention among the engineers and scholars. With the development of image acquisition sensors, computing resources and deep learning algorithms, deep learning-based post-earthquake structural assessment has gradually shown potential in dealing with image acquisition and processing tasks. This paper comprehensively reviews the state-of-the-art studies of deep learning-based post-earthquake structural assessment in recent years. The conventional way of image processing and machine learning-based structural assessment are presented briefly. The workflow of the methodology for computer vision and deep learning-based post-earthquake structural assessment was introduced. Then, applications of assessment for multiple civil infrastructures are presented in detail. Finally, the challenges of current studies are summarized for reference in future works to improve the efficiency, robustness and accuracy in this field.

• Journal of the Korea Society for Simulation
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• v.19 no.3
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• pp.127-135
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• 2010

Modern marine navigation requires officers on the bridge to monitor a torrent of data on both the insides and outsides of the ship from numerous useful devices. But despite these tools, navigators can still find it difficult to make a safe decision for two reasons: one is that too much data if provided too quickly tends to cause fatigue and overwhelm the officer, and the other is that any inconsistency across data from several different types of devices can lead to confusion. Indeed, the fact remains that the many marine accidents can be attributed to human error, and hence there is a strong need for decision-support tools for marine navigation. One technique of providing decision support is through the use of simulation to evaluate or predict system dynamics over time using an accurate model. This paper, as a simulation method for risk prediction for a navigation safety information system of ship, suggests a navigation prediction simulation system using various knowledge bases and discrete event simulation methodology, and supports the validity of the system through the examples of components in a restricted navigation situation scenario.

• Korean Journal of Remote Sensing
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• v.39 no.4
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• pp.371-393
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• 2023

Crack detection in structures plays a vital role in ensuring their safety, durability, and reliability. Traditional crack detection methods sometimes need significant manual inspections, which are laborious, expensive, and prone to error by humans. Deep learning algorithms, which can learn intricate features from large-scale datasets, have emerged as a viable option for automated crack detection recently. This study presents an in-depth review of crack detection methods used till now, like image processing, traditional machine learning, and deep learning methods. Specifically, it will provide a comparative analysis of crack detection methods using deep learning, aiming to provide insights into the advancements, challenges, and future directions in this field. To facilitate comparative analysis, this study surveys publicly available crack detection datasets and benchmarks commonly used in deep learning research. Evaluation metrics employed to check the performance of different models are discussed, with emphasis on accuracy, precision, recall, and F1-score. Moreover, this study provides an in-depth analysis of recent studies and highlights key findings, including state-of-the-art techniques, novel architectures, and innovative approaches to address the shortcomings of the existing methods. Finally, this study provides a summary of the key insights gained from the comparative analysis, highlighting the potential of deep learning in revolutionizing methodologies for crack detection. The findings of this research will serve as a valuable resource for researchers in the field, aiding them in selecting appropriate methods for crack detection and inspiring further advancements in this domain.

• Korean Journal of Environmental Agriculture
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• v.42 no.3
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• pp.184-192
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• 2023

Microplastics are generated by the breakdown of plastic wastes in agricultural soil and residual pesticides in agricultural soil can adsorb on microplastics. In this study, the sorption characteristics of procymidone (PCM) and one of its metabolites, 3,5-dichloroaniline (DCA), on low-density polyethylene (LDPE) and polyvinyl chloride (PVC) microplastics were investigated. The sorption and desorption tests were carried out for 72 h using LDPE or PVC microplastic films to study the sorption isotherms of PCM and DCA and kinetics for sorption and desorption of PCM. The results show that the sorption data of PCM and DCA were better described by the Freundlich isotherm model (R²=0.7568-0.9915) than the Langmuir isotherm model (R²=0.0545-0.5889). The sorption potential of PVC for both PCM and DCA was greater than that of LDPE. The sorption data of PCM on PVC and LDPE were fitted better to the pseudo-second-order kinetic model than the pseudo-first-order kinetic model. The PCM sorption on LDPE was about three times faster than that on PVC. Both microplastic films released the sorbed PCM back to water, and more PCM was released from PVC than LDPE, but the desorption rate was faster with LDPE than PVC. Overall, the results show that different microplastics have different sorption characteristics for different chemicals. Also, the sorbed chemicals can be released back to environment suggesting the potential of contaminant spread by microplastics. Thus, the management practices of microplastics in agricultural soil need to consider their interaction with the chemical contaminants in soil.

• The Journal of Pediatrics of Korean Medicine
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• v.37 no.3
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• pp.35-48
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• 2023

Objectives We aimed to analyze changes in growth indicators before and after Korean medicine treatment in patients treated at the pediatric department of a hospital. Methods We analyzed the medical records of children and adolescents under 18 years of age who underwent growth assessment between January 1, 2017 and December 31, 2022. Results A total of 21 patients were selected for this study. After treatment, there was a significant increase in the height percentile, whereas bone age-chronological age (BA-CA) and predicted adult height (PAH) did not show significant changes. No major adverse reactions were observed during the treatment. Growth reassessment was conducted twice for 10 participants. When comparing the growth indicators between the assessment sessions, the height percentile showed an increasing trend between the initial and the first growth reassessment. However, there were no significant differences between BA-CA and PAH across the different assessment periods. Conclusions There is a need to establish evidence for the efficacy and safety of continuous Korean medicine growth treatment through the long-term observation of growth indicators in patients undergoing treatment for two or more periods, as well as observational studies on liver and renal function indicators.