• Journal of Fashion Business
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• v.26 no.4
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• pp.64-82
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• 2022

This study aimed to explore fashion technologies for small-scale designer brands and reveal the priorities of the derived fashion technologies. Interviews were conducted with owners of 15 designer brands to explore fashion technologies needed in the field based on the business operation stage (study 1), and an online survey of owners of 61 designer brands was conducted to verify their priorities (study 2). A total of 12 fashion technologies were derived from study 1, including 2 market analysis stages, 6 season planning stages, and 4 product operation stages. In study 2, importance and satisfaction were measured with 12 fashion techniques derived from study 1, and importance-performance analysis (IPA) was performed. The technologies of product management with image tagging and sales channel matching were considered to be the fashion technologies that should be developed first. Second, in the case of maintenance, demand prediction and price determination were applicable. Third, over-effort avoidance was revealed through market analysis and design generation. Finally, in automatic product detail page creation and digital marketing, development was the lowest priority. The results of this study are expected to provide insight into priority areas for fashion technology developers and policy departments providing emerging brand support.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.128-137
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• 2023

Purpose: This study proposes a way to improve quality and increase safety by studying a method that allows the system scaffolding, which is partly used for high-altitude work at construction sites, to be applied to various types of structures in shipbuilding and plant industry sites. Method: A fact-finding survey was conducted targeting 8 companies, and a plan was established that reflected the opinions of the field survey and the practitioners and experts by analyzing the literature and the Internet survey. Result: Through analysis of related patents, FGI with companies, etc., we discovered the possibility of application expansion through research and development of materials that can be applied to various types and improvement plans for enhancing the professionalism of construction companies. Conclusion: System scaffolding has a high importance in terms of safety, but related research around the world is sluggish. Therefore, it will be possible to meet the demands for quality and safety by enhancing the software expertise and developing and researching user materials that can be applied to various types.

• Nutrition Research and Practice
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• v.17 no.2
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• pp.192-205
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• 2023

BACKGROUND/OBJECTIVES: It is known that the renin-angiotensin system (RAS) in the brain could regulate cognitive functions as well as blood pressure. Inhibition of RAS for the improvement of cognitive function may be a new strategy, but studies so far have mostly reported on the effects of RAS inhibition by drugs, and there is no research on cognitive improvement through RAS inhibition of food ingredients. Therefore, this study investigated the effect of curcumin on blood pressure and cognitive function and its related mechanism in spontaneously hypertensive rat/Izm (SHR/Izm). MATERIALS/METHODS: Six-week-old SHR/Izm rats were divided into 5 groups: control group (CON), scopolamine group (SCO, drug for inducing cognitive deficits), positive control (SCO and tacrine [TAC]), curcumin 100 group (CUR100, SCO + Cur 100 mg/kg), and curcumin 200 group (CUR200, SCO + Cur 200 mg/kg). Changes in blood pressure, RAS, cholinergic system, and cognitive function were compared before and after cognitive impairment. RESULTS: The SCO group showed increased blood pressure and significantly reduced cognitive function based on the y-maze and passive avoidance test. Curcumin treatments significantly improved blood pressure and cognitive function compared with the SCO group. In both the CUR100 and CUR200 groups, the mRNA expressions of angiotensin-converting enzyme (ACE) and angiotensin II receptor type1 (AT1), as well as the concentrations of angiotensin II (Ang II) in brain tissue were significantly decreased. The mRNA expression of the muscarinic acetylcholine receptors (mAChRs) and acetylcholine (ACh) content was significantly increased, compared with the SCO group. CONCLUSIONS: The administration of curcumin improved blood pressure and cognitive function in SCO-induced hypertensive mice, indicating that the cholinergic system was improved by suppressing RAS and AT1 receptor expression and increasing the mAChR expression.

• Korean Journal of Culture and Social Issue
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• v.18 no.3
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• pp.415-433
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• 2012

This study was conducted in order to explain the effect of driving behavior determinants such as drivers' personality and attitude that may induce risky driving behavior and to develop a valid method for discriminating risky drivers using the determinants. In the results of surveying 534 adult drivers, 5 driving behavior determinants (avoidance of problems, benefit/stimulus seeking, interpersonal anxiety, interpersonal anger, and aggression) were found to have a statistically significant effect on drivers' various risky driving behaviors. Using these factors, drivers were grouped according to risk levels (normal drivers, unintentionally risky drivers, and intentionally risky drivers). This result suggests that drivers' dangerous behavior level can be predicted using psychological factors such as their personality and attitude. Accordingly, if the driving behavior determinant model and the base score system used in this study are improved through further research, they are expected to be useful in predicting drivers' recklessness in advance, identifying problems, and providing differentiated safe driving education services based on the results.

• Journal of Korean Library and Information Science Society
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• v.54 no.3
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• pp.129-163
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• 2023

The purpose of this study is to identify reading competency and its components according to the concept of reading competency in order to strengthen the reading competency of children and adolescents with disabilities, develop diagnostic questions, and provide basic data for the development of a reading competency diagnostic tool for children and adolescents with disabilities, Research methods include literature research, brainstorming, delphi survey, and preliminary research. As a result of the study, the components of the reading competency diagnostic tool are broadly divided into 2 areas (affective domain, environmental domain), 4 categories (reading motivation, reading attitude, human environment, and physical environment), and a total of 13 components in each of the 4 categories (Reading interest, reading value, reading recognition, reading expectations, reading habits, reading efficacy, reading immersion, reading anxiety (avoidance), home/family, school/teacher, peers, reading environment, media environment) and the corresponding questions. was developed. Based on these results, a direction for developing a reading competency diagnostic tool for children and adolescents with disabilities was presented.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.237-246
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• 2023

Purpose : This study investigated the effects of personality and sensory processing on college life adaptation in students majoring in occupational therapy. Methods : We conducted a survey study on 251 college students from March to May 2023. Personality, sensory processing, and college life adaptation were measured through the international personality item pool, adolescent/adult sensory profile, and student adaptation to college questionnaire, respectively. The general characteristics of students were analyzed using frequency analysis, and differences in college life adaptation and sensory processing characteristics were analyzed using independent t-tests and one-way ANOVA. The relationship between personality, sensory processing, and college life adaptation scores was analyzed using Pearson correlation analysis. The impact of personality and sensory processing on college life adaptation was analyzed using multivariate regression analysis using SPSS 25.0. Results : Correlations of all five personality factors, except openness to experience, were observed with students' college life adaptation. According to sensory processing characteristics, differences in college life adaption showed significant differences in sensory avoidance, poor registration, and sensory sensitivity. The variance of college life adaptation explained by each factor (based on R²) were 46% by personality and 26% by sensory processing. Among personality traits, neuroticism had a negative effect on college life adaptation, agreeableness and extroversion had positive effects, and low registration during sensory processing had a negative effect. Conclusion : This study suggests the provision of various activities and creation of an environment for college students with low sensory registration and neurotic traits to encourage positive changes. The results can be used to design a program that helps college students adapt to occupational therapy majors.

• The Research Journal of the Costume Culture
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• v.31 no.6
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• pp.705-719
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• 2023

The study aimed to investigate the factors influencing genderless fashion preferences. The questionnaires were collected from men and women participants aged 20 to 49 living in Seoul City and Gyeonggi Province. Data analysis involved factor analysis, t-test, ANOVA, and regression analysis. The findings revealed that genderless fashion preference comprised four factors, namely individuality pursuit, deviation from norms, fashion pursuit, and social recognition pursuit. Self-esteem encompassed two factors positive self-esteem, and negative self-esteem. while sociocultural attitude toward appearance consisted internalization, and awareness. Second, positive self-esteem significantly influenced individuality pursuit and deviation from norms in genderless preference factors. Third, sociocultural attitude toward appearance had a significant effect on genderless fashion preference, with awareness particularly exerting a significant effect on individuality pursuit, fashion pursuit, and social recognition pursuit. Fourth, genderless fashion preferences exhibited differences based on gender role identity in factors such as individual pursuit, norm avoidance, and trend pursuit. Lastly, demographic characteristics such as age, education, occupation, and monthly income revealed significant differences in genderless fashion preferences. From the results of the study, it was found that consumers perceived individuality pursuit, fashion pursuit, and social recognition pursuit as important influencing factors of genderless fashion preferences. In addition, it is necessary to create an independent brand identity by developing various items to express consumers' individuality, differentiated brand concepts from other brands, and store displays.

• Journal of Technology Innovation
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• v.31 no.3
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• pp.111-138
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• 2023

The purpose of this paper is to summarize the development process of major science and technology manpower policies and to derive desirable future policy directions in the policy environment of a paradigm shift in supply and demand. To this end, first, the development process of the science and technology manpower policy, which was promoted in earnest from the 2000s, with the topic of resolving the phenomenon of avoidance of science and engineering majors, was examined, focusing on the basic plan for supporting science and engineering majors. Next, we summarized the main contents and implications of the change in demand for science and technology personnel caused by digital transformation and the supply shock of demographic decline, that is, the paradigm shift in the supply and demand of science and technology talents. Based on this, the core direction of the future science and technology manpower policy was suggested to create a human-centered science and technology research ecosystem that promotes the continued growth and inflow of human resources, so that can be the foundation for the training and utilization of excellent science and technology talents.

• Journal of the Society of Naval Architects of Korea
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• v.61 no.3
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• pp.170-184
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• 2024

With the advancement of autonomous navigation technology in maritime domain, there is an active research on swarming Unmanned Surface Vehicles (USVs) that can fulfill missions with low cost and high efficiency. In this study, we propose a formation control algorithm that maintains a certain shape when multiple unmanned surface vehicles operate in a swarm. In the case of swarming, individual USVs need to be able to accurately follow the target state and avoid collisions with obstacles or other vessels in the swarm. In order to generate guidance commands for swarm formation control, the potential field method has been a major focus of swarm control research, but the method using the potential field only uses the position information of obstacles or other ships, so it cannot effectively respond to moving targets and obstacles. In situations such as the formation change of a swarm of ships, the formation control is performed in a dense environment, so the position and velocity information of the target and nearby obstacles must be considered to effectively change the formation. In order to overcome these limitations, this paper applies a method that considers relative velocity to the potential field-based guidance law to improve target following and collision avoidance performance. Considering the relative velocity of the moving target, the potential field for nearby obstacles is newly defined by utilizing the concept of Velocity Obstacle (VO), and the effectiveness and efficiency of the proposed method is verified through swarm control simulation, and swarm control experiments using a small scaled unmanned surface vehicle platform.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.603-608
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• 2024

Nonresponse and missing values are caused by sample dropouts and avoidance of answers to surveys. In this case, problems with the possibility of information loss and biased reasoning arise, and a replacement of missing values with appropriate values is required. In this paper, as an alternative to missing values imputation, we compare several replacement methods, which use mean, linear regression, random forest, K-nearest neighbor, autoencoder and denoising autoencoder based on deep learning. These methods of imputing missing values are explained, and each method is compared by using continuous simulation data and real data. The comparison results confirm that in most cases, the performance of the random forest imputation method and the denoising autoencoder imputation method are better than the others.