Kim, Ju-young;Lee, Dong-Min;Lee, Byoung-Gil;Gil, Gi-Nam;Kim, Kyung-Nam;Na, Jong-Whoa
Journal of Aerospace System Engineering
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v.15
no.5
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pp.24-32
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2021
Personal Air Vehicle (PAV), Cargo UAS (Cargo UAS), and existing manned and unmanned aircraft are key vehicles for urban air mobility (UAM), and should demonstrate compatibility for the design of aircraft systems. The safety assessment required by for certification to ensure safety and reliability should be systematically performed throughout the entire cycle from the beginning of the aircraft development process. However, with the increasing complexity of safety critical aviation systems and the application of state-of-the-art systems, conventional experience-based and procedural-based safety evaluation methods make ir difficult to objectively assess safety requirements and system safety. Therefore, Model-Based Safety Assessment (MBSA) using modeling and simulation techniques is actively being studied at domestic and foreign countries to address these problems. In this paper, we propose a Model-Based Safety Evaluation framework utilizing modeling and simulation-based integrated flight simulators. Our case studies on the Traffic Collision Availability System (TCAS) and Wheel Brake System (WBS) confirmed that they are practical for future safety assessments.
Artificial intelligence technology is developing in an environment where a lot of data is produced due to the development of computing technology, a cloud environment that can store data, and the spread of personal mobile phones. Among these artificial intelligence technologies, the deep neural network provides excellent performance in image recognition and image classification. There have been many studies on image detection for forest fires and fire prevention using such a deep neural network, but studies on detection of cigarette smoking were insufficient. Meanwhile, military units are establishing surveillance systems for various facilities through CCTV, and it is necessary to detect smoking near ammunition stores or non-smoking areas to prevent fires and explosions. In this paper, by reflecting experimentally optimized numerical values such as activation function and learning rate, we did the detection of smoking pictures and non-smoking pictures in two cases. As experimental data, data was constructed by crawling using pictures of smoking and non-smoking published on the Internet, and a machine learning library was used. As a result of the experiment, when the learning rate is 0.004 and the optimization algorithm Adam is used, it can be seen that the accuracy of 93% and F1-score of 94% are obtained.
Korean Journal of Construction Engineering and Management
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v.20
no.4
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pp.34-45
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2019
To drive construction project successful, a construction manager with good competency is needed. In order to select appropriate construction manager, there should be a standard and a method for appropriately evaluating the competency of construction manager. There have been many researches on the competency of construction managers, but there are two points to be supplemented. One is that construction manager's competency measurement was not concrete and objective, and the other is that construction project performance directly reflects individual manager's performance. The purpose of this study is to derive a construction manager competency evaluation index by using the Notational Analysis technique that is used when deriving an indicator that measures the athlete's competency in sports. This analysis was drawn with Delphi method. Finally, the 'measurable behaviors'were derived that can evaluate the competency of construction managers. Through this, it is possible to express each manager's expertise, leadership, and personal characteristics in numerical expression. This will help decision makers when selecting construction managers. It is anticipated that decision makers will be able to make the decision to select the necessary construction managers easier because it can evaluate the construction managers through a scientific approach based on the record by supplementing the existing method which only relied on intuition.
The Journal of Korean society of community based occupational therapy
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v.8
no.3
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pp.49-57
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2018
Objective : The purpose of this study was to investigate the level of human rights sensitivity of occupational therapist and to compare the difference of the human rights sensitivity according to their characteristics and to provide basic data for the development of human rights education programs for occupational therapists in the future and to emphasize their role as human rights advocates. Methods : The subjects for this study were occupational therapists who chosen by snowball sampling method. The questionnaire consisted of 5 episodes and 30 questions to measure the level of occupational therapist's human rights sensitivity and 7 questions for identifying general characteristics of subjects. We distributed the questionnaire by on-line. 165 copies were collected and used to final data analysis. Results : The average of occupational therapists' human rights sensitivity was $33.52{\pm}14.96$. According to the subcategories, the average of perception of situation was $20.44{\pm}2.32$, perception of result was $19.85{\pm}2.32$, and the perception of responsibility was $19.14{\pm}2.21$. Among 5 episodes, The highest score was the right to pursue one's happiness of the elderly($12.72{\pm}1.56$), and the lowest score was the right to personal freedom in disabled ($11.04{\pm}2.23$). There were significantly differences of the subjects' age, educational level, organization type, and the level of clinical experiences. Conclusion : Occupational therapists' human rights sensitivity increased with age and the level of clinical experiences. And the human rights sensitivity increased as they were exposed to various human rights related circumstances. The reason of the highest score for situational awareness was that empathy for the client-centered intervention is important. This study confirmed that it is necessary to have human rights education and various educational programs.
The purpose of this study is to identify the main factors helping university students sucessfully adapt to campus life and achieve academic accomplishment through a critical period in personal development. For this purpose, the analysis verifying influence of self leadership as an individual trait variable and social support as a socio environmental trait variable on academic achievement of university students and the mediating effect of school adjustment among them was conducted. Total 271 responses collected by implementing a questionnaire survey in "S", a four-year private university located in Seoul, were used for the analysis. The validity of the measurement was verified through confirmatory factor analysis and the relationship among the variables was examined through structural model equation, bootstrap and sobel test. The major finding of this study are as follows. First, this study confirmed the causal relationship of self leadership and social support impacting on academic achievement of university students. This result suggests that an integrated approach taking into account both individual and socio environmental factors is necessary to support academic achievement of university students. Second, it was proved that self leadership and social support indirectly influences academic achievement through school adjustment. This demonstrates that school adjustment is an important predictor of academic achievement as well as plays a major role in mediating among self leadership, social support and academic achievement. In conclusion, the results of this study conveys its significance in suggesting the necessity to provide insititutional support on individual trait and socio environmental factor enabling university students sucessfully to adapt to campus life and achieve academic achievement.
The purpose of this study is to explore the factors affecting the social capital of youth and to draw implications for the policies related to development of the social capital of them. To this end, we utilized the OLS regression model and the quantile regression model exploiting the 12th year dataset of the Korean Education & Employment Panel(KEEP). First, this study shows that the effect on trust is higher than that of the counterpart when the case is a) unmarried, b) with the high level of education, c) with a large asset, d) with high self-respect and the satisfaction for financial situation, and e) social media user. On the other hand, the higher the monthly average income, the lower the trust level. In addition, when the cases are grouped into 25 quantile, 50 quantile, and 75 quantile according to the level of trust, it is revealed empirically that the factors affecting social capital formation are somewhat different. Second, this study also shows that the effect is higher in a specific condition. The effect is higher compared to the counterpart when the case is a) male, b) with children, c) metropolitan city resident, d) non-employee, e) with a large asset, f) with high level of happiness, g) with high expense of purchasing books, and h) social media user. As a result, it is found that there are no personal characteristics that have statistically significant influence on students belonging to the 25th quantile of social capital. This study suggests that, in order to support the formation of social capital of Korean youths, it is necessary to enhance their psychological satisfaction and to provide cultural support or policies. In addition, it suggests that a tailored social capital accumulation program is needed according to the level of social capital, and the support for this need to be changed according to the amount of social capital of young people.
The purpose of this study was to analyze the differences in the frequency and importance of basic nursing practice between comprehensive nursing care service wards and general wards and to provide basic data for the efficient of services. The subjects of this study were 99 comprehensive nursing care service and 90 general wards. Data were collected from February 1 to 28, 2018 and analyzed using a t-test, one-way ANOVA, Pearson's correlation coefficient, Scheffe test. The results showed that the frequency of basic nursing practice was higher by 2.43, and there were significant differences in personal hygiene, nutrition and excretion, exercise & activity. The recognition of the importance of basic nursing was high in both groups, but comprehensive nursing care service wards were slightly higher at 4.24 points. However, as the frequency of practice is lower than the recognition of the importance of basic nursing, a method to increase the frequency of practice is necessary. These results suggest that comprehensive nursing care service wards should provide appropriate nursing staff and system development so the nurses can provide care service as professionals.
Purpose: This study provides a treatment for central nervous system development in patients with chronic stroke by investigating changes in the upper limb function over time. The correlations among the activities, participation, and environmental factors of the international classification of functioning (ICF), disability and health are also examined. Methods: The subjects of this study are 18 patients with chronic stroke who were hospitalized and treated at 00 hospital in the Chungcheongbuk-do province. Their upper extremity functions are evaluated using the manual function test (MFT). The activities, participation, and environmental factors are evaluated using the ICF generic form. The correlations between the total scores of the affected and unaffected sides and the ICF items are analyzed using the Pearson correlation analysis. The significance level is p<0.05. Results: When the correlations between the activities and participation areas of ICF and the total score of the affected side of MFT were examined, significant correlations (p<0.05) were found in the following items: changing basic body position (D410), lifting and carrying objects (D430), moving around using equipment (D465), using transportation (D470), washing oneself (D510), caring for body parts (D520), and dressing (D540). When the correlations between the activities and participation areas of ICF and the total score of the unaffected side of MFT were examined, significant correlations (p<0.05) were found among writing (D170), speaking (D330), eating (D550), and drinking (D560). In addition, when the correlation between the environment area of ICF and the total score of the unaffected side of the MFT were examined, significant correlations (p<0.05) were found between products and technology for personal use in daily living (E115) and immediate family (E310). Conclusion: The MFT of patients with chronic stroke is closely correlated with the activities, participation, and environmental factors of ICF. This result suggests that ICF can be used as a useful tool to comprehensively evaluate the abilities of the patient, including the upper extremity function.
With the development of new media, great changes are taking place in the way people get information. The change is the use of video content that can deliver content in a more three-dimensional way than words or photos. After 2016, the number of live video streaming content providers and users has increased. In this paper the write takes the 1 personal live video streaming content as the research object. And the write takes live video streaming content on YouTube live or Douyu TV as a research example. In this paper, the writer analyzes the digital information content in the live video streaming case. And the writer expounds the necessity of these visual information and the characteristics of real-time live video streaming content. Especially since 2020, because of the influence of the COVID-19, the live video streaming industry has begun to combine with the traditional industry. It is expected that the integration of digital cutting-edge technology and live video streaming will not only provide diversity in the content, but also create more social value for the video content consumption culture. Therefore, The writer thinks it is necessary to conduct in-depth research on the social responsibility of real-time live content in the future.
Based on sports known to reduce adolescents' smartphone addiction, this study aims to identify the structural causal relationship between sport commitment and smartphone addiction. First of all, based on prior studies, it was intended to show that adolescents' sport commitment is effective in reducing smartphone addiction through social support and ego-resilience, and that such causal relationships vary significantly depending on gender. To this end, a survey of 605 middle and high school students was conducted, and the structural relationship between the four established latent variables was analyzed by analyzing the structural equation model using the SPSS 25.0 and AMOS 23.0 programs. According to the analysis, adolescents' sport commitment was found to have an adverse effect on smartphone addiction, and social support and ego-resilience in the relationship between the two variables were found to have a mediated effect. In addition, these results showed significant differences in gender. This study expanded the field of smartphone addiction and sports convergence study by revealing the relationship between sport commitment as psychological recognition variable and addiction Unlike previous studies using a participation time, duration, and intensity, and suggested that structural relationships with personal characteristic variables and gender-specific approaches are important. Through this, it is meaningful that it provided basic data for in-depth convergence study in the smartphone addiction and development of gender-specific programs.
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