• Journal of Aerospace System Engineering
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• v.18 no.3
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• pp.76-85
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• 2024

Recently, from a global perspective, the use of small unmanned aerial vehicles in terrorism and warfare is increasing, and the need for anti-drone shooting training targeting small UAVs is increasing. However, in reality, there are many cases in Korea where anti-drone shooting training is restricted, due to complaints such as noise. In this paper, we describe the development and testing of an electric-powered direct strike type high-speed, low-noise small aerial target drone. To achieve the flight speed and endurance required for shooting training, target drone sizing was performed, and aerodynamic performance analysis was conducted using a CFD program. Based on the performance analysis, the motor propulsion system was selected and a variable pitch propeller system was designed, and performance tests were performed on a ground test rig. Finally, the target flight speed, flight time, and flight noise level were confirmed through flight tests.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.139-149
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• 2024

In this paper, we propose the standard architecture for the IFF interface SW in naval combat management system(CMS). The proposed standard interface architecture is a method designed to reduce modification efforts and man-month of reliability test for the existing the IFF interface SW of 11 types. We identified highly dependent CMS and GFE information, leading to the redefinition of standard requirements and functions, and proceeded with the initial design applying the Naval Shield Component Platform(NSCP). Subsequently, using the Feature Model, we derived additional common and variable elements for the interface of multiple CMS and GFE. Considering the S.O.L.I.D principles, we designed the final architecture. The proposed IFF Interface SW, based on the standard architecture, is expected to enhance management efficiency through a common architecture, increase code reusability and scalability, and reduce development costs by shortening reliability testing times.

• Journal of Cardiovascular Imaging
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• v.31 no.3
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• pp.135-141
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• 2023

BACKGROUND: Global longitudinal strain (GLS) is an accurate and reproducible parameter of left ventricular (LV) systolic function which has shown meaningful prognostic value. Fast, user-friendly, and accurate tools are required for its widespread implementation. We aim to compare a novel web-based tool with two established algorithms for strain analysis and test its reproducibility. METHODS: Thirty echocardiographic datasets with focused LV acquisitions were analyzed using three different semi-automated endocardial GLS algorithms by two readers. Analyses were repeated by one reader for the purpose of intra-observer variability. CAAS Qardia (Pie Medical Imaging) was compared with 2DCPA and AutoLV (TomTec). RESULTS: Mean GLS values were -15.0 ± 3.5% from Qardia, -15.3 ± 4.0% from 2DCPA, and -15.2 ± 3.8% from AutoLV. Mean GLS between Qardia and 2DCPA were not statistically different (p = 0.359), with a bias of -0.3%, limits of agreement (LOA) of 3.7%, and an intraclass correlation coefficient (ICC) of 0.88. Mean GLS between Qardia and AutoLV were not statistically different (p = 0.637), with a bias of -0.2%, LOA of 3.4%, and an ICC of 0.89. The coefficient of variation (CV) for intra-observer variability was 4.4% for Qardia, 8.4% 2DCPA, and 7.7% AutoLV. The CV for inter-observer variability was 4.5%, 8.1%, and 8.0%, respectively. CONCLUSIONS: In echocardiographic datasets of good image quality analyzed at an independent core laboratory using a standardized annotation method, a novel web-based tool for GLS analysis showed consistent results when compared with two algorithms of an established platform. Moreover, inter- and intra-observer reproducibility results were excellent.

• PNF and Movement
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• v.22 no.2
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• pp.201-211
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• 2024

Purpose: This study aimed to evaluate the effects of trunk stabilization exercises using a Reformer on trunk control, balance ability, and gait function in chronic stroke patients. Methods: The participants were 24 chronic stroke patients, randomly divided into two groups: trunk stabilization exercise using the Reformer group (TS-R, n = 12) and general trunk stabilization exercise group (GT-E, n = 12). Assessment methods included the Trunk Impairment Scale for trunk control, the AMTI force platform for static balance, the Timed Up and Go test for dynamic balance, and the Dynamic Gait Index for gait function. Assessments were conducted before and after the intervention. The intervention for the TS-R group consisted of bridging exercises using a Reformer, while the GT-E group performed bridging exercises on a mat. All interventions were performed for 17 minutes per session, five times a week, for a total of 20 sessions over four weeks. Statistical analysis was performed using repeated-measures ANOVA to analyze the interaction between groups and time. Results: The results of the repeated measures ANOVA indicated a significant interaction between the groups and time. The TS-R group showed statistically significant differences in all variables before and after the intervention. In contrast, the GT-E group did not show statistically significant differences in any variables before and after the intervention. Conclusion: The findings of this study suggest that trunk stabilization exercises using a reformer are effective in improving trunk control, balance ability, and gait function in chronic stroke patients.

• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.3
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• pp.242-252
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• 2024

Purpose: This study aimed to determine the influence of psychological factors such as highly sensitive person, intolerance of uncertainty, depression, and self-esteem on nurses' perceptions of gaslighting damage. Methods: The participants were 178 nurses working in hospitals nationwide. Data were collected through a non-face-to-face approach using an online survey platform (Google Forms) with self-reported questionnaires. Perceptions of gaslighting damage were measured using the victim gaslighting questionnaire (VGQ). The collected data were analyzed with statistical methods such as independent t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using IBM SPSS 25.0. Results: Of the participants, 94.4% were female. The participants' average age was 32.7 years old, 60.2% were unmarried, and 86.0% were staff nurses. The mean score of the VGQ was 40.49. There were statistically significant differences in the VGQ according to marital status, participants' time in their current department, total clinical career, and type of medical institution. The perception of gaslighting damage was statistically significantly positively correlated with intolerance of uncertainty, highly sensitive person, depression, and self-esteem. The most influential factor on nurses' perception of gaslighting damage was intolerance of uncertainty (β=.32, p<.001), followed by depression (β=.30, p<.001) and highly sensitive person (β=.23, p=.001). The total explanation of these variables for the perception of gaslighting damage by nurses was about 75.0%. Conclusion: This study suggests that it is necessary to develop an intervention program to reduce negative psychological factors affecting gaslighting in nurses and to cultivate nurses' strength to overcome gaslighting damage.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.5
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• pp.707-717
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• 2024

Recently, the implementation of unmanned and automated technologies has been actively considered as a solution to reduce safety accidents in industrial sites. However, bridge construction sites are recognized as a more challenging area for research and development compared to other industries due to the complexity of the site, such as weather and terrain, and the fact that the work is not repetitive or standardized. In this paper, a formwork system for unmanned and automated construction of bridge piers, which are considered high-risk work environments due to tasks such as rebar assembly, concrete pouring, and formwork dismantling and assembly at high altitudes, was developed. To achieve this, the formwork was equipped with motorized spindles and an automated lifting system to replace the manual dismantling and assembly process. Additionally, manipulators were installed on the upper work platform to replace workers in tasks such as rebar assembly and concrete pouring. To verify the proposed technology, we aimed to demonstrate the feasibility of the automated formwork system for unmanned pier construction through an assembly test.

• Korean Journal of Applied Biomechanics
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• v.14 no.3
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• pp.67-82
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• 2004

The purpose of this study was to evaluate the function and the safety of an additional weight shoe developed for the improvement of aerobic capacity, and to improve some problems found by subject's test for an additional weight shoe. The subjects employed for this study were 10 college students. 4 video cameras, AMTI force platform and Pedar insole pressure distribution measurement device were used to analyze foot motions. The results of the study were as follows: 1 The initial achilles tendon angle and initial rearfoot pronation angle of an additional weight shoe during walking were 183.7 deg and 2.33 deg, respectively, and smaller than a barefoot condition. Maximum achilles tendon angle and the angular displacement of achilles tendon angle were 185.35 deg and 4.21 deg respectively, and smaller than barefoot condition. Thus rearfoot stability variables were within the permission value for safety. 2. Maximal anterior posterior ground reaction force of additional weight shoe was appeared to be 1.01-1.2 B.W., and was bigger than a barefoot condition. The time to MAPGRF of an additional weight shoe was longer than a barefoot condition. Maximal vertical ground reaction force of additional weight shoe was appeared to be 2.3-2.7 B.W., and was bigger than a barefoot condition in propulsive force region. But A barefoot condition was bigger in braking force region. The time to MVGRF of an additional weight shoe was longer than a barefoot condition. 3. Regional peak pressure was bigger in medial region than in lateral region in contrast to conventional running shoes. The instant of regional peak pressure was M1-M2-M7-M4-M6-M5 -M3, and differed form conventional running shoes. Regional Impulse was shown to be abnormal patterns. There were no evidences that an additional weight shoe would have function and safety problems through the analysis of rearfoot control and ground reaction force during walking. However, There appeared to have small problem in pressure distribution. It was considered that it would be possible to redesign the inner geometry. This study could not find out safety on human body and exercise effects because of short term research period. Therefore long term study on subject's test would be necessary in the future study.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.455-465
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• 2017

This study focuses on design development and verification through virtual simulation based on 3D model data in the cloud platform as a method of utilization of engineering technology of design in the fourth industrial revolution era. The goal of research is to develop and examine a design for the needs of the target that has never been met before through virtual simulations that can be conducted in practice. As a research method, we analyzed secondary data to identify the needs of the target, and did literature research for the ergonomic data and target body development stages. In addition, the design development process of this study was shown meaningful result in design, structure, safety, material, durability through loop test of 7 virtual simulations. This study can be applied to the automated process system based on 3D model data in the 4th industrial revolution era and can be used as an element of the cyber physics system for the additional research.

• ALGAE
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• v.31 no.1
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• pp.73-84
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• 2016

Marine organisms are frequently used to be harmful and have lower side effects than synthetic drugs. The cognitive improving efficacy of gamma aminobutyric acid-enriched fermented Saccharina japonica (FSJ) on the memory deficient rats, which were induced by trimethyltin chloride (TMT), was investigated by assessing the Morris water maze test and by performing choline acetyltransferase (ChAT), cAMP response element binding protein (CREB), and brain derived neurotrophic factor (BDNF) immunohistochemistry. The neurite outgrowth of Neuro2a cells was assessed in order to examine the underlying mechanisms of the memory enhancing effects of FSJ. Treatment with FSJ tended to shorten the latency to find the platform in the acquisition test of the Morris water maze at the second and fourth day compared to the control group. In the probe trial, the FSJ treated group increased time spent in the target quadrant, compared to that of the control group. Consistent with the behavioral data, these treatments recovered the loss of ChAT, CREB, and BDNF immunepositive neurons in the hippocampus produced by TMT. Treatment with FSJ markedly stimulated neurite outgrowth of the Neuro2a cells as compared to that of the controls. These findings demonstrate that FSJ may be useful for improving the cognitive function via regulation of neurotrophic marker enzyme activity.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.591-596
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• 2019

In this paper, we implemented a deep learning operation structure with less influence of local PC performance. In general, the deep learning model has a large amount of computation and is heavily influenced by the performance of the processing PC. In this paper, we implemented deep learning operation using AWS and streaming server to reduce this limitation. First, deep learning operations were performed on AWS so that deep learning operation would work even if the performance of the local PC decreased. However, with AWS, the output is less real-time relative to the input when computed. Second, we use streaming server to increase the real-time of deep learning model. If the streaming server is not used, the real-time performance is poor because the images must be processed one by one or by stacking the images. We used the YOLO v3 model as a deep learning model for performance comparison experiments, and compared the performance of local PCs with instances of AWS and GTX1080, a high-performance GPU. The simulation results show that the test time per image is 0.023444 seconds when using the p3 instance of AWS, which is similar to the test time per image of 0.027099 seconds on a local PC with the high-performance GPU GTX1080.