• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.187-194
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• 2021

This paper presents a margin-based face liveness detection method with behavioral confirmation to prevent spoofing attacks using deep learning techniques. The proposed method provides a possibility to prevent biometric person authentication systems from replay and printed spoofing attacks. For this work, a set of real face images and fake face images was collected and a face liveness detection model is trained on the constructed dataset. Traditional face liveness detection methods exploit the face image covering only the face regions of the human head image. However, outside of this region of interest (ROI) might include useful features such as phone edges and fingers. The proposed face liveness detection method was experimentally tested on the author's own dataset. Collected databases are trained and experimental results show that the trained model distinguishes real face images and fake images correctly.

• 벤처혁신연구
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• 제5권4호
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• pp.157-178
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• 2022

COVID-19로 인해 전 세계적으로 경제는 악화되었으며 국내 역시 큰 타격을 받게 되었다. 이에 정부는 중소기업들이 겪고 있는 자금난 해소를 위해 전례 없는 COVID-19 관련 재정지원 정책을 시행하였다. 또한, 정부는 COVID-19 확산이 지속되자 비대면 접촉을 권고했으며 그에 따른 지침과 방안을 내세움에 따라 공공부문과 민간부문의 조직들은 비대면 형태의 업무방식을 도입하였다. 이러한 상황을 고려하여 본 연구는 COVID-19 관련 재정지원 정책이 중소기업의 혁신에 미치는 영향을 규명하였다. 또한, 기업의 혁신을 위해서는 정부의 지원과 같은 외부적인 지원도 중요하나 내부적 역량 역시 중요한 요인에 해당한다. 따라서 기업가정신이 제품혁신에 미치는 영향을 파악하였으며, 더하여 비대면 형태의 업무방식이 활성화됨에 따라 스마트워크를 도입한 기업과 도입하지 않는 기업 간 비교를 통해 스마트워크의 효과를 파악하였다. 가설검증을 위한 자료수집은 과학기술정책연구원에서 제공하는 한국기업혁신조사-2020년 (제조업)의 자료를 활용하였다. 또한, 가설검증을 위해 성향점수매칭을 이용해 표본에 대한 선택편의를 줄인 이후 스마트 도입 기업과 도입하지 않은 기업 간 집단을 분류하여 다중회귀분석을 시행하였다. 분석결과는 다음과 같다. 기업가정신의 경우 스마트워크 도입 여부에 상관없이 중소기업의 제품혁신에 정(+)의 영향을 미쳤다. COVID-19 재정지원정책의 경우, 금융지원은 스마트워크를 도입한 기업에게만 제품혁신에 정(+)의 영향을 미쳤으며 이외에 지원정책은 스마트워크 도입 여부에 상관없이 제품혁신에는 효과가 없는 것으로 나타났다. 분석결과 기업가정신은 스마트워크 도입 여부에 상관없이 정(+)의 영향을 나타냈으며, COVID-19 관련 재정지원정책은 지원유형에 따라 혼재된 결과를 보여주는 것으로 나타났다. 이러한 분석결과를 토대로 정책적 및 학문적 시사점을 제시할 수 있었다.

• 품질경영학회지
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• 제46권2호
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• pp.301-310
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• 2018

Purpose: The purpose of this study is to investigate the effect of work intensity on fit factor and affective quality of the dustproof Background: Among the victims who suffer pneumoconiosis due to the inhalation of toxic substances or the lack of oxygen during the work, the proportion of the victims is larger than the other causes. Wearing a respirator may prevent pneumoconiosis, but it can be hazardous to workers because of the leakage through filters, cartridges, exhaust valves, broken parts, and face-to-face contact. Despite leakage through the contact area between the mask and the face has various causes such as the wearer's activity, sweat accumulation, facial shape, etc., There is a lack of relevant research and regulation compared to developed countries that have already institutionalized the law 30 years ago and give the right to sell through a test Method: The work intensity was adjusted by walking or running at 6km/h and 11km/h on the treadmill, and tasks were defined with reference to the test procedure and the exercise sequence applied in the face leakage test of the dustproof mask. And fit factor was measured objectively using 'Respirator Fit Tester 8038' which measures fit factor calculated by dividing the number of dust present outside the mask by inside the mask. In addition, affective quality was classified by the ease of use, ease of breathing, and ease of wearing, and was measured using the 5-point likert scale questionnaire. Results: There was a significant difference in fit factor, ease of breathing, and wearing convenience according to work intensity and no significant difference in ease of use(${\alpha}=0.01$). And when the work intensity was high, fit factor, ease of breathing, and wearing convenience were all lower than when the work intensity was low. Conclusion: In Korea, it is necessary to consider consideration of the work intensity when testing the leakage rate of the face part for safety certification of the respiratory protective equipment, When developing a mask, it should be possible to maintain high adhesion even under intense, active situation and high temperature conditions by selecting materials, improving the wearing style, and expanding the adjustable range.

• 대한안전경영과학회지
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• 제17권3호
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• pp.247-263
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• 2015

This study seeks to identify effects derived from emotional labor in the distribution industry, and draw ways to systematically manage the employees by exploring effects of the emotion work on performance. For the purpose, literature reviews and empirical experiments were conducted to find out effects of emotional labor and false face acting on emotion work and organizational performance and effects of social support and job autonomy on the relationship between emotion work and organizational performance. To verify the hypothesis, we conducted a hierarchical regression analysis and structural equation model analysis using SPSS 20 and AMOS19. The result of the verification in this study is as follows: First, effects of emotional labor on burnout was found to be statistically significant, second, as for the path-coefficient for "emotional labor ${\rightarrow}$ emotion work" and "emotional labor ${\rightarrow}$ job satisfaction" was not statistically significant, while the path-coefficient for "emotional labor ${\rightarrow}$ service level" was found to be statistically significant. Third, effects of emotion work on job satisfaction was found statistically significant, fourth, emotion work on the service level was found statistically significant, fifth, effects of false face acting on emotion work was found statistically significant, sixth, effects of false face acting on burnout was statistically significant, seventh, moderating were found statistically significant and lastly, moderating effects of the relationship between emotion work from job autonomy and organization performance was not verified in job satisfaction, while emotion work, job autonomy, and interaction variable in service level were statistically significant.

• KIEAE Journal
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• 제8권2호
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• pp.87-92
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• 2008

Underground building constructions are recently more important because the ratio of underground area is increasing in the huge and high-rise building construction projects. For reducing the total building construction periods, it is required to reduce not only the over-ground structural work periods but also the underground structural work periods. Therefore, this study is proposed the non-supporting system forms for single face walls in underground building construction by one of the methods for reducing the underground structural work periods and investigated the applicability of the non-supporting system forms by analyzing the case-study in civil construction project. In regard of construction duration, the results of analyzing the case-study showed that the non-supporting system forms are better than the euro forms with soldier system for single face walls in underground building construction. In addition, it is showed that the cost of these two forms is similar and usage the working space and safety in non-supporting system forms are better that those of the euro forms with soldier system, too.

• Journal of Information Processing Systems
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• 제11권4호
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• pp.643-654
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• 2015

Face recognition under controlled settings, such as limited viewpoint and illumination change, can achieve good performance nowadays. However, real world application for face recognition is still challenging. In this paper, we propose using the combination of Affine Scale Invariant Feature Transform (SIFT) and Probabilistic Similarity for face recognition under a large viewpoint change. Affine SIFT is an extension of SIFT algorithm to detect affine invariant local descriptors. Affine SIFT generates a series of different viewpoints using affine transformation. In this way, it allows for a viewpoint difference between the gallery face and probe face. However, the human face is not planar as it contains significant 3D depth. Affine SIFT does not work well for significant change in pose. To complement this, we combined it with probabilistic similarity, which gets the log likelihood between the probe and gallery face based on sum of squared difference (SSD) distribution in an offline learning process. Our experiment results show that our framework achieves impressive better recognition accuracy than other algorithms compared on the FERET database.

• 가정과삶의질연구
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• 제18권2호
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• pp.77-91
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• 2000

The purpose of this study is twofold: to document the current research trends, significance, and actual situation of family business in Germany, and to describe the characteristics of family business work, workers, and interactions influencing work and family functioning in Germany. For this purpose, this study reviewed the sate of family business in Germany through out theoretical approach and secondary national data. In addition, this study collected in 1998 data through face-to-face interviews with female family business managers in Germany. Results of the present study indicate that family business plays a very important role in the economy of Germany. More than 85% of all companies are family businesses, which produce over 60% of GDP in Germany. The notable characteristics of family business households were the high proportion of home owners, high education level of the family business manager, high involvement of family members in family business. Also the high work sati faction among the family members who worked in family business, the effect of family business work on family life, and effect of the family on business success were extremely positive.

• 한국정밀공학회지
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• 제19권12호
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• pp.150-157
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• 2002

This paper presents an effective cutting force model that enable us to predict the instantaneous cutting force in face milling from a knowledge of the work material properties and cutting conditions. The development of the model is based on the orthogonal machining theory with the effective rake angle which is defined in the plane containing the cutting velocity and chip flow vectors. Face milling testes are performed at different feeds and, a fairly good agreement is shown between the predicted cutting forces and test results.

• International Journal of Precision Engineering and Manufacturing
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• 제6권3호
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• pp.13-18
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• 2005

This paper presents an effective cutting force model that enables us to predict the instantaneous cutting force in face milling from knowledge of the work material properties and the cutting conditions. The development of the model is based on the orthogonal machining theory with the effective rake angle, which is defined in the plane containing the cutting velocity vector and the chip flow vector. Face milling tests are performed at different feeds and, a fairly good agreement is shown between the predicted cutting forces and the test results.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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• pp.117-119
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• 2006

In this work, we suggest another method to localize DFT in spatial domain. This enables DFT algorithm to be used for local pattern matching. Once calculated, it costs same load to calculate localized DFT regardless of the size or the position of local region In spatial domain. We applied this method to face detection problem and got the results which prove the utility of our method.