• 한국벤처창업학회:학술대회논문집
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• 2024.04a
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• pp.27-34
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• 2024

사회적 기업가정신은 기업가정신 분야의 연구에서 많은 학자와 산업계의 관심을 받고 있는 주제이다. 특히 사회적 기업을 창업하거나 사회적 기업에서 일하고자 하는 사람들은 일반 사람들과 다른 어떤 특성을 가지고 있는지에 대해 선행 연구들은 공감, 도덕적 판단, 지각된 사회적 규범 등의 요소들로 설명하고 있다. 이는 전통적인 기업의 창업자와 비교되며, 사회적 기업가정신에 중요한 선행요소라고 말하고 있다. 그러나 공감능력이 뛰어나고, 공동체에서 사람들과 잘 어울리며, 남을 돕기 좋아하는 사람들이 반드시 사회적 기업가적 의도가 높은 것은 아니며, 이런 특성을 가진 모든 사람들이 사회적 기업에서 일하고자 하는 것은 아니다. 사회적 기업가적 동기에 관한 선행 연구 중에 동기와 행동을 연결하는 복잡한 매커니즘에 대해 설명한 연구는 거의 없는 상황이며, 대부분 공감(Empathy), 사회적 자기 효능감(Social Entrepreneurial Self-Efficacy), 도덕적 의무감 등의 요소를 규명하는데 집중되어 왔다는 한계가 있다. 본 연구는 지금까지 거의 연구되지 않았던 사회적 기업적 의도를 설명하는 타인 지향적 동기(other-oriented motives)와 사회적 기업 직업정체성에 관한 연구이다. 이를 통해 사회적 기업에 참여하려는 개인의 성향을 촉진시키는 요인은 무엇인지를 규명하고자 하였다. 전국 일반고, 특수목적고 및 특성화고등학교와 대안학교 학생 444명을 대상으로 설문조사를 실시하여 타인 지향적 동기요소인 친사회성 동기, 사회적 존재감과 사회적 기업 직업정체성의 관계 분석에 활용하였다. SPSS 26 버전을 활용하여 다중 회귀분석을 실시한 결과 사회적 기업에 대한 직업정체성에 친사회적 동기와 사회적 존재감은 긍정적인 영향을 미치고, 특히 사회적 존재감은 친사회적 동기와 직업정체성과의 관계에 부분 매개효과를 보였다. 결과적으로 역지사지 성향을 가지는 학생일수록 사회적 기업에서 일을 할 의도가 높아지고, 남을 돕고자 하는 의지가 높은 학생, 공동체 의식이 높은 학생일수록 사회적 기업에서 일을 하고자 하는 의지가 높다는 것을 알 수 있었다. 또한 사회적 존재감은 이 과정에서 간접적으로 유의미하게 긍정적인 영향을 미치는 것을 알 수 있었다. 본 연구는 사회적 기업에 대한 직업정체성에 영향을 미치는 선행요인을 규명하고 사회적 기업에 참여하려는 개인의 성향을 촉진하는 요인이 무엇인지 규명했다는 데 의의가 있다. 그리고 이 요인들이 교육을 통해 강화할 수 있으므로 사회적 기업 창업가 육성에 대한 새로운 방향을 제시한다.

• Journal of the Korean Applied Science and Technology
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• v.40 no.6
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• pp.1225-1237
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• 2023

The purpose of this study is to find out the effect of office workers' motivation to choose clothing and makeup colors on appearance satisfaction and self-esteem. The subjects of this study were working women working in Chungcheong-do for two weeks from July 15, 2023 to July 29, 2023, and 696 sampled copies were used for the final analysis. Frequency analysis, factor analysis, reliability analysis, (one-way)ANOVA, and post-verification (Scheffe's) were handled using the SPSS 26.0 program, and office workers' clothing. Correlation analysis, simple regression, and multiple regression were performed to find out the correlation between makeup color selection motivation, and the statistical significance level was p<.I set it to 05. Through this research procedure, the following conclusions were drawn. First, it was found that the motivation of office workers to choose clothes color had a positive (+) effect on appearance satisfaction. Second, office workers' motivation for choosing makeup colors was found to have a positive (+) effect on appearance satisfaction, and physical attractiveness was found to have a positive (+) effect on situational factors. Third, it was found that the color choice of clothes of office workers had a positive (+) effect on self-esteem. Fourth, It was found that the motivation of office workers to choose makeup colors had a positive (+) effect on self-esteem.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.313-319
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• 2024

The purpose of this study was to examine the mediating effect of emotional intelligence on college students' sense of community and psychological well-being. Accordingly, a survey was conducted targeting 267 college students attending universities in the Busan and Gyeongnam regions. For data analysis, the SPSS 21 program was used to check the general characteristics of the survey subjects, the mean, standard deviation, skewness, and kurtosis of the main variables. Correlation analysis was performed to check multicollinearity among the main variables, and mediation effects were examined. For this purpose, regression analysis was conducted according to the three-step verification method proposed by Barron and Kenny.The results of this study were as follows. First, college students' sense of community was found to have a significant impact on their psychological well-being. Second, the sense of community perceived by college students was found to have a significant impact on emotional intelligence. Third, emotional intelligence was found to have a significant impact on psychological well-being. Lastly, emotional intelligence was confirmed to have a partial mediating effect in the relationship between college students' sense of community and psychological well-being. Lastly, emotional intelligence was confirmed to have a partial mediating effect in the relationship between college students' sense of community and psychological well-being. Accordingly, we strive to find and implement various ways to increase the sense of community that is closely related to the emotional intelligence skills and social participation of college students in the special situation of college, so that college students can form and sustain a happier and more satisfying life. We will have to help you do it.

• Korean Journal of Optics and Photonics
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• v.35 no.4
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• pp.150-156
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• 2024

One of the key factors in research regarding long-distance laser beam propagation, as in free-space optical communication or laser power transmission, is the transmission efficiency of the laser beam. As a way to improve efficiency, we perform extensive numerical simulations of the effect of modifying the laser beam's profile, especially replacing the fundamental Gaussian beam with a super-Gaussian beam. Numerical simulations of the transmitted power in the ideal diffraction-limited beam diameter determined by the optical system of the transmitter, after about 1-km propagation, reveal that the second-order super-Gaussian beam can yield superior performance to that of the fundamental Gaussian beam, in both single-channel and coherently combined multi-channel laser transmitters. The improvement of the transmission efficiency for a 1-km propagation distance when using a second-order super-Gaussian beam, in comparison with a fundamental Gaussian beam, is estimated at over 1.2% in the singlechannel laser transmitter, and over 4.2% and over 4.6% in coherently combined 3- and 7-channel laser transmitters, respectively. For a range of the propagation distance varying from 750 to 1,250 m, the improvement in transmission efficiency by use of the second-order super-Gaussian beam is estimated at over 1.2% in the single-channel laser transmitter, and over 4.1% and over 4.0% in the coherently combined 3- and 7-channel laser transmitters, respectively. These simulation results will pave the way for future advances in the generation of higher-order super-Gaussian beams and the development of long-distance optical energy-transfer technology.

• Korean Journal of Remote Sensing
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• v.30 no.2
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• pp.185-205
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• 2014

SAR ground moving target indicator (GMTI) has long been an important issue for SAR advanced applications. As spatial resolution of space-borne SAR system has been significantly improved recently, the GMTI becomes a very useful tool. Various GMTI techniques have been developed particularly using multi-channel SAR systems. It is, however, still problematic to detect ground moving targets within single channel SAR images while it is not practical to access high resolution multi-channel space-borne SAR systems. Once a ground moving target is detected, it is possible to retrieve twodimensional velocities of the target from single channel space-borne SAR with an accuracy of about 5 % if moving faster than 3 m/s. This paper presents a quick-and-dirty method for detecting ground moving targets from single channel SAR single-look complex (SLC) images by differentiation. Since the signal powers of derivatives present Doppler centroid and rate, it is very efficient and effective for detection of non-stationary targets. The derivatives correlate well with velocities retrieved by a precise method with a correlation coefficient $R^2$ of 0.62, which is well enough to detect the ground moving targets. While the approach is theoretically straightforward, it is necessary to remove the effects of residual Doppler rate before finalizing the ground moving target candidates. The confidence level of results largely depends on the efficiency and effectiveness of the residual Doppler rate removal method. Application results using TerraSAR-X and truck-mounted corner reflectors validated the efficiency of the method. While the derivatives of moving targets remain easily detectable, the signal energy of stationary corner reflectors was suppressed by about 18.5 dB. It results in an easy detection of ground targets moving faster than 8.8 km/h. The proposed method is applicable to any high resolution single channel SAR systems including KOMPSAT-5.

• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.667-685
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• 2022

This paper aims to investigate 4D printing materials for soft robots. 4D printing is a targeted evolution of the 3D printed structure in shape, property, and functionality. It is capable of self-assembly, multi-functionality, and self-repair. In addition, it is time-dependent, printer-independent, and predictable. The shape-shifting behaviors considered in 4D printing include folding, bending, twisting, linear or nonlinear expansion/contraction, surface curling, and generating surface topographical features. The shapes can shift from 1D to 1D, 1D to 2D, 2D to 2D, 1D to 3D, 2D to 3D, and 3D to 3D. In the 4D printing auxetic structure, the kinetiX is a cellular-based material design composed of rigid plates and elastic hinges. In pneumatic auxetics based on the kirigami structure, an inverse optimization method for designing and fabricating morphs three-dimensional shapes out of patterns laid out flat. When 4D printing material is molded into a deformable 3D structure, it can be applied to the exoskeleton material of soft robots such as upper and lower limbs, fingers, hands, toes, and feet. Research on 4D printing materials for soft robots is essential in developing smart clothing for healthcare in the textile and fashion industry.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.11
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• pp.471-480
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• 2023

The Korean construction order volume in South Korea grew significantly from 91.3 trillion won in public orders in 2013 to a total of 212 trillion won in 2021, particularly in the private sector. As the size of the domestic and overseas markets grew, the scale and complexity of EPC (Engineering, Procurement, Construction) projects increased, and risk management of project management and ITB (Invitation to Bid) documents became a critical issue. The time granted to actual construction companies in the bidding process following the EPC project award is not only limited, but also extremely challenging to review all the risk terms in the ITB document due to manpower and cost issues. Previous research attempted to categorize the risk terms in EPC contract documents and detect them based on AI, but there were limitations to practical use due to problems related to data, such as the limit of labeled data utilization and class imbalance. Therefore, this study aims to develop an AI model that can categorize the contract terms based on the FIDIC Yellow 2017(Federation Internationale Des Ingenieurs-Conseils Contract terms) standard in detail, rather than defining and classifying risk terms like previous research. A multi-text classification function is necessary because the contract terms that need to be reviewed in detail may vary depending on the scale and type of the project. To enhance the performance of the multi-text classification model, we developed the ELECTRA PLM (Pre-trained Language Model) capable of efficiently learning the context of text data from the pre-training stage, and conducted a four-step experiment to validate the performance of the model. As a result, the ensemble version of the self-developed ITB-ELECTRA model and Legal-BERT achieved the best performance with a weighted average F1-Score of 76% in the classification of 57 contract terms.

• Clean Technology
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• v.30 no.3
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• pp.276-286
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• 2024

Since the Paris Agreement and the surge in global interest in climate change, the importance of measuring and managing national-level resource productivity has steadily grown. However, concerns about the reliability of productivity indicators persist due to inherent uncertainties. This study estimated the metal and non-metal resource productivities of 38 OECD countries through multiple regression analysis and conducted a comparative analysis of their ranking changes according to their current resource productivities. The study results revealed that the 38 OECD countries could be classified into four categories. First, countries with low overall resource productivities due to a high economic dependence on low-value metal resources by weight exhibited a substantial rise in their non-metal resource productivity rankings. Second, countries that have minimal metal industries in their national economies but generate high value-added from these sectors showed a notable increase in their metal resource productivity rankings. Third, countries with a low proportion of metal industry in their economies and low metal resource productivities experienced significant declines in their metal resource productivity rankings. Fourth, countries with a small disparity between their metal and non-metal resource productivities showed minimal changes in their rankings for both categories. These results highlight that changes in metal resource productivity rankings were more pronounced than those for non-metal resources, which implies that the influence of non-metal resources (biomass, fossil fuels, non-metallic minerals) dominates national-level resource productivity because their economic value is higher than metal resources. These findings suggest that it is necessary to manage the economic value of each resource type as distinct statistical data to provide a more nuanced understanding of national resource productivity.

• International Commerce and Information Review
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• v.14 no.3
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• pp.3-30
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• 2012

In the development process, small and medium-sized enterprises in China have shown their unique features and regularities which are closely related to China's national condition and economic characteristics. But in 2008, because of the global financial crisis which started in the USA, the rate of Chinese export and the rate of economic growth has evidently slowed. Due to shortage of funds, foreign orders fell, increase the value of RMB, lack of talented factors, Chinese SMEs are facing bankruptcy. In this context, the purpose of this study is to examine the effects of domestic and international market environment, the government assistance for entering overseas market, entrepreneur characteristics, etc. on the global performance. Based on these, a research model and some hypotheses were set up and tested by the multiple regression analysis with total 317 effective survey data. The results of this paper are as follows. First, a positive effect relation on the financial performance was shown for the companies with high domestic and international market environment in the aspect of market environment. According to such analysis result, it was found that the market environment in which SMEs belong to is a very important factor. Second, in the aspect of government export assistance related to overseas, market development showed a positive effect relation on the both financial and non-financial performance. However, the direct financial assistance showed a positive effect relation only on the non-financial performance. Overall, it was found that the government assistance program on entering overseas market is having significant effects on SMEs, but direct financial assistance have not achieved the desired results. Third, the innovative-ness and progressiveness of entrepreneur showed a positive effect relation on the global market performance. However, the risk-taking of entrepreneur only showed a negative effect relation on the non-financial performance. Overall, it was found that the entrepreneurship of SMEs is an important and influential factor. This is a result implying that the propensity of taking too much risk is not desirable based on the uncertainty of the global environment market. To sum up, this study confirmed that the market environment, the government assistance and entrepreneur characteristics, which are the major prerequisites of global performance, have effects on global performance.

• Journal of Preventive Medicine and Public Health
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• v.29 no.3 s.54
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• pp.539-553
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• 1996

The study was conducted from May to September in 1994 to investigate applicability of the Hearing Handicap Inventory for the Elderly-Screening version(HHIE-S) in parallel with the pure-tone audiometer to the initial screening test of noise-induced hearing loss(NIHL) in some noise-exposed workers. Subjects were selected by systemic sampling that took every 10th person from 6, 700 workers taking the annual occupational health examination by the department of Health Maintenance of Dongsan Hospital Keimyung University in Taegu. The authors administered the pure-tone audiometric test and self-reported questionnaire of HHIE-S including items of sociodemographic and job-related variables concurrently. The final subjects analysed were 1,019(488 males and 531 females) excluding fourteen persons who had many missing values in their questionnaires. The reliability coefficients of HHIE-S scale by Cronbach's alpha were 0.84. In the univariate analysis of hearing handicap measured by the HHIE-S, work duration, military service and the hearing threshold loss at 1KHz and 4KHz by the initial audiometer were significant in males while age, work duration and hearing threshold loss at 1KHz and 4KHz were significant in females. In the stepwise linear regression analysis, hearing threshold loss at 1KHz and 4KHz, was the only selected variable explaining the hearing handicap in males and hearing threshold loss at 1KHz and 4KHz, age, and work duration were selected in females. In ROC curves for HHIE-S scores against NIHL as gold standard which was defined by the follow-up audiogram as more than 30dB of the average of 0.5/1/2KHz and 50dB at 4KHz, the optimal cutoff for the parallel HHIE-S appeared to be 8. The results suggest that HHIE-S appeared to have some reliability and validity in this data and might be used in screening NIHL in parallel with pure-tone audiometer in noise-exposed workers.