• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.415-419
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• 2023

The New Zealand Defence Force (NZDF) began using female manpower from World War II. After making various efforts to secure excellent manpower, the proportion of female manpower has risen to 24%, higher than that of Britain, the United States, Canada and Australia, which have a longer history of female military personnel than New Zealand. This is the result of NZDF efforts to open combat roles to women and allow female personnel to advance to high-ranking military positions such as generals and consular officers. In addition, policy alternatives to address women's realistic concerns such as pregnancy and childbirth, childcare, and vertical organizational culture were presented. In particular, Operation "Respect" was implemented to overcome the problem of not leaving or joining the army due to inappropriate sexual behavior and bullying. The operation respect established the role of the leader, emphasized the support of the victim, and accumulated data of the accident to prevent similar accidents. In addition, through the "Wāhine Toa" program, excellent female manpower could be introduced into the military through customized support considering the military life cycle (attract-recruit-retain-advance) of female personnel. South Korea is also considering expanding the ratio and role of female manpower as one of the ways to overcome the shortage of troops and leap into an advanced science and technology group. Implications were derived from the use of female manpower in the NZDF and the direction in which the Korean military should proceed was considered.

• The Journal of Engineering Geology
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• v.33 no.4
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• pp.573-586
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• 2023

Joints or weak planes can induce anisotropy in the strength and deformability of fractured rock masses. Comprehending this anisotropic behavior is crucial to engineering geology. This study used plaster as a friction material to mold specimens with a single joint. The strength and deformability of the specimens were measured in true triaxial compression tests. The measured results were compared with three-dimensional numerical analysis based on the distinct element method, conducted under identical conditions, to assess the reliability of the modeled values. The numerical results highlight that the principal stress conditions in the field, in conjunction with joint orientations, are crucial factors to the study of the strength and deformability of fractured rock masses. The strength of a transversely isotropic rock mass derived numerically considering changes in the dip angle of the joint notably increases as the intermediate principal stress increases. This increment varies depending on the dip of the joint. Moreover, the interplay between the dip direction of the joint and the two horizontal principal stress directions dictates the strength of the transversely isotropic rock mass. For a rock mass with two joint sets, the set with the steeper dip angle governs the overall strength. If a rock bridge effect occurs owing to the limited continuity of one of the joint sets, the orientation of the set with longer continuity dominates the strength of the entire rock mass. Although conventional three-dimensional failure criteria for fractured rock masses have limited applicability in the field, supplementing them with numerical analysis proves highly beneficial.

• Applied Chemistry for Engineering
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• v.34 no.6
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• pp.674-678
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• 2023

The effect of Pt was investigated to the catalytic methane decomposition of CH₄ to H₂ over Pt(1)-Fe(30)/MCM-41 and Fe(30)/MCM-41 using a fixed bed flow reactor under atmosphere. The Fe₂O₃ and Pt crystal phase behavior of fresh Pt(1)-Fe(30)/MCM-41 were obtained via XRD analysis. SEM, EDS analysis, and mapping were performed to show the uniformed distribution of nano particles such as Fe, Pt, Si, O on the catalyst surface. XPS results showed O^2-, O^- species and metal ions such as Pt⁰, Pt²⁺, Pt⁴⁺, Ft⁰, Fe²⁺, Fe³⁺ etc. When 1 wt% of Pt was added to Fe(30)/MCM-41, automic percentage of Fe2p increased from 13.39% to 16.14%, and Pt4f was 1.51%. The yield of hydrogen over Pt(1)-Fe(30)/MCM-41 was 3.2 times higher than Fe(30)/MCM-41. The spillover effect of H₂ from Pt to Fe increased the reduction of Fe particles and moderate interaction of Fe, Pt and MCM-41 increased the uniform dispersion of fine nanoparticles on the catalyst surface, and improved hydrogen yield.

• Applied Chemistry for Engineering
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• v.34 no.6
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• pp.603-607
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• 2023

Aqueous film forming foam (AFFF) is a critical fire suppression agent used in combating hydrocarbon fires. This type of fire suppressant is highly effective due to its ability to form a protective film, dissipate heat, inhibit combustion, and utilize a blend of chemical substances to extinguish fires. While these properties offer significant advantages in responding to hydrocarbon fires, AFFF is distinct in its deployment as it is dispensed in the form of foam. Therefore, the rheological analysis of AFFF foam using a rheometer plays a crucial role in predicting the spray characteristics of AFFF for combating hydrocarbon fires, and this is closely associated with effective fire suppression. In this study, we conducted rheometer experiments to confirm the non-Newtonian behavior (shear-thinning) of AFFF foam and obtained data on the form's stability. These experimental data are expected to contribute to enhancing the efficiency of fire suppression systems utilizing AFFF.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.155-166
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• 2023

This study was conducted with 50 elderly people each (5) participating in the cognitive rehabilitation treatment program at the Dementia Care Center in D City to derive the development direction and contents of a multidimensional therapeutic recreation program and a revitalization plan through analysis of the current status and actual conditions of the cognitive rehabilitation program at the Dementia Care Center. aperture) was selected, and 9 people were selected as the subject of expert group opinion collection. The collected data was SPSS ver. Using the 18.0 statistical program, descriptive statistics and the importance and priority of each component were analyzed by hierarchical structure analysis. First, unlike the needs of users, the cognitive rehabilitation support programs currently being provided are not sufficient and require considerable experience. It was found to be low, and the areas for improvement were the expansion of care and protection facilities and the development of various programs to meet the needs of users. Second, the importance and priority of each component of therapeutic recreation were categorized into 6 major categories: exercise therapy , middle category (16 items) behavior-centered approach to exercise therapy, small category (47 items) strength and brain gymnastics, and silver health gymnastics were the highest. This result shows that a multidimensional program plan that considers the priorities of each area must be made when developing a therapeutic recreation program.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.389-399
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• 2023

Recently, there has been a growing focus on the Entrepreneurial Intention of Chinese College Students as a key driver of motivational behavior. However, previous research has provided limited analysis on the actual impact of Social Support on the Entrepreneurial Intention of Chinese College Students. The purpose of this study is to enhance the Entrepreneurial Intention of Chinese College Students and to ascertain the mediating effect of Career Adaptability in the relationship between Social Support and Entrepreneurial Intention. Zhejiang Province, the top-ranked province in private economy in China, possesses a strong economic development momentum and an innovative entrepreneurial atmosphere. Therefore, this study selected 194 third and fourth-year undergraduate students from universities in Zhejiang Province as participants and collected data through a survey utilizing measures of Social Support, Career Adaptability, and Entrepreneurial Intention. The collected data was analyzed for correlations between the measured variables using SPSS 26 and Stata 17 SEM Builder for quantification and validation. The results of the study revealed that, firstly, while Social Support did not have a direct impact on Entrepreneurial Intention, it was found to have an indirect influence on Entrepreneurial Intention through Career Adaptability and its various sub-variables. Secondly, Social Support among College Students was found to have a positive impact on Career Adaptability. Thirdly, Career Adaptability among College Students was found to have a positive impact on Entrepreneurial Intention. Based on these analytical findings, this study provides theoretical and practical implications as well as fundamental information for entrepreneurship education and Career Adaptability at the university level.

• Korean Journal of Culture and Social Issue
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• v.8 no.1
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• pp.41-59
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• 2002

The present study explored the major behavior patterns of drivers and the environmental settings having an effect on traffic accident using the data collected from drivers and traffic police. Drivers and traffic police read questionnaire which contain the passible causes of traffic accident and selected the major causes on the basis of their latest accidents. Unexperienced drivers were forced to answer the questionnaire by referring to their friends and neighborhoods. The results showed that the major causes of traffic accident were connected with the driver's factors. The most important cause of traffic accidents was inattention/incautiousness. The next were lack of competence, skill, and experience. One interesting fact was that drivers and traffic police attributed differently. Drivers pointed out the lack of ability coping with an emergency and the insufficient skill of defensive driving as causes of the traffic accident. On the other hand, traffic polices indicated the intentional violations such as the disregard for traffic rules, trespassing on the central line of the roadway, speed limit violation, and breaking into the vehicle's line. The implications for appling the this results to driver education institutions were discussed.

• Journal of Korea Water Resources Association
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• v.56 no.spc1
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• pp.1007-1014
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• 2023

Two-dimensional flow analysis, a fundamental component of hydrodynamics, plays a pivotal role in numerically simulating fluid behavior in rivers and waterways. This modeling approach heavily relies on parameters such as eddy viscosity and roughness coefficient to accurately represent flow characteristics. Therefore, combination of appropriate parameters is very important to accurately simulate flow characteristics. In this study, an automation algorithm was developed and applied to find the optimal combination of parameters. Previously, when applying a two-dimensional flow analysis model, former researchers usually depend on the empirical approach, which causes many difficulties in finding optimal variable values. Using the experimental data, we tracked errors according to the combination of various parameters and applied the algorithm that can determine the optimal combination of parameters with the Python language. The automation algorithm can easily determine the most accurate combination by comparing the flow velocity error values among the two-dimensional flow analysis results among the combinations of 121 (11×11) parameters. In the perspective of utilizing automation algorithm, there is an expected high utility in promptly and straightforwardly determining the optimal combination of parameters with the smallest error.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.11-23
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• 2023

This study aims to investigate the relationship between service recovery justice, residual emotions, and customer behavior. It empirically verifies that low justice in service recovery affects residual emotions and, in turn, has an impact on customers' negative behaviors. Furthermore, this research distinguishes customer-brand relationship quality into emotional relationship quality and cognitive relationship quality and seeks to validate that the type of relationship quality may influence the extent to which the justice of recovery processes affects residual emotions. Data was collected through surveys, and hypotheses were tested using structural equation modeling. The research findings indicate that among the dimensions of service recovery justice, procedural justice and interactional justice significantly influence residual emotions. Moreover, residual emotions have a significant impact on both the intention to revisit and the intention to engage in negative word-of-mouth. In addition, the impact of distributive justice and procedural justice on residual emotions was found to be higher for cognitive relationship quality than emotional relationship quality, and the impact of interactional justice on residual emotions was found to be higher for emotional relationship quality than cognitive relationship quality.

• Information Systems Review
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• v.23 no.4
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• pp.45-67
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• 2021

As the transaction volume of the C2C second-hand market is growing, the number of frauds, which intend to earn unfair gains by sending products different from specified ones or not sending them to buyers, is also increasing. This study explores the model that can identify frauds in the online C2C second-hand market by examining the postings for transactions. For this goal, this study collected 145,536 field data from actual C2C second-hand market. Then, the model is built with the characteristics from postings such as the topic and the linguistic characteristics of the product description, and the characteristics of products, postings, sellers, and transactions. The constructed model is then trained by the machine learning algorithm XGBoost. The final analysis results show that fraudulent postings have less information, which is also less specific, fewer nouns and images, a higher ratio of the number and white space, and a shorter length than genuine postings do. Also, while the genuine postings are focused on the product information for nouns, delivery information for verbs, and actions for adjectives, the fraudulent postings did not show those characteristics. This study shows that the various features can be extracted from postings written in C2C second-hand transactions and be used to construct an effective model for frauds. The proposed model can be also considered and applied for the other C2C platforms. Overall, the model proposed in this study can be expected to have positive effects on suppressing and preventing fraudulent behavior in online C2C markets.