• Journal of Korean Academy of Nursing Administration
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• v.15 no.3
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• pp.355-364
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• 2009

Purpose: The purpose of the research is to investigate the effect of self-image on work performance and controlling ability of self-leadership in relationship in between self-image and work performance. Methods: The data were collected from Mar 16th to April 15th 2009, a descriptive survey study was conducted with 140 nurses. Results: The hypothesis "Self image of nurse would affect on work performance" is supported ($R^2$=.335, p<.001). In the hypothesis of "Self-leadership would have controlling ability on self-image and work performance", as a result of regression analysis in independent variables of self-image(A) and self-leadership(B), adding relation of both variable($A{\times}B$) would increase in 36.6% (p<.05). Conclusion: Self-image of nurse was confirmed that it had positive effect on work performance and that it had moderating ability on relationship between self-image and work performance. The shaping and strategic operation are required to increase self-leadership and positive development on self-image of nursed.

• Journal of Distribution Science
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• v.17 no.11
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• pp.35-45
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• 2019

Purpose: The purpose of this study is to suggest strategic implications about empirical analysis with mediation effects of corporate image in terms of that relations between logistics culture safety, safety compliance and logistics performance of logistics companies. Research design, data and methodology: The structure and method of this research is organized with, first establishing hypothesis and research model based on previous study related to safety culture, safety compliance, corporate image, logistics safety and logistics performance, which has been carried out survey questionnaire to those who got involved in logistics businesses. Results: It is well justified that safety culture and safety compliance have significantly influenced to logistics performance as well as corporate images that is also revealed to have positive impact to logistics performance. With results verifying into mediation effects of corporate image, it is found that corporate image has partial mediation effects between logistics safety culture and logistics performance, and corporate image has full mediation effects between logistics safety compliance and logistics performance. Conclusions: In conclusion, it is strongly asked to make an aggressive efforts to safety compliance with necessity for spread of safety culture in level of enterprise. Planning the strategy and its implementation is required to secure safety in logistics process because both logistics performance and corporate image has positive influences by logistics safety.

• International Commerce and Information Review
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• v.10 no.3
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• pp.41-57
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• 2008

This research studies the effects of pre-show promotion, at-show promotion, and booth staff training on the image-building and relationship improvement performance of exhibitors. To this purpose, we relate each performance dimension to tactical variables such as pre show promotion, at-show promotion, and booth staff training through related literature review and conduct empirical study on their relationship. The results of this study are as follows: (1) Pre-show promotion and booth staff training have positive influence on image-building and relationship improvement performance. (2) But, at-show promotion has no effect on image-building performance, and has a negative effect on relationship improvement performance. (3) Especially, pre-show promotion has the greatest effect on relationship improvement performance, and booth staff training has the greatest effect on image-building improvement.

• Journal of Satellite, Information and Communications
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• v.12 no.3
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• pp.69-73
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• 2017

In this paper, we developed a real-time image recognition algorithm based on machine learning and tested the performance of the algorithm. The real-time image recognition algorithm recognizes the input image in real-time based on the machine-learned image data. In order to test the performance of the real-time image recognition algorithm, we applied the real-time image recognition algorithm to the autonomous vehicle and showed the performance of the real-time image recognition algorithm through the application of the autonomous vehicle.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.67-75
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• 2023

Recently, many studies have been conducted on ways to utilize AI technology in NIDS (Network Intrusion Detection System). In particular, CNN-based NIDS generally shows excellent performance. CNN is basically a method of using correlation between pixels existing in an image. Therefore, the method of generating an image is very important in CNN. In this paper, the performance comparison of CNN-based NIDS according to the image generation method was performed. The image generation methods used in the experiment are a direct conversion method and a one-hot encoding based method. As a result of the experiment, the performance of NIDS was different depending on the image generation method. In particular, it was confirmed that the method combining the direct conversion method and the one-hot encoding based method proposed in this paper showed the best performance.

• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.58-61
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• 2000

In this paper, we propose a new performance comparison method of various Interpolation methods for image enlargement The conventional methods employs PSNR and edge characteristic evaluation for performance comparison of interpolation methods. The proposed performance comparison method uses the position Information for each difference pixel's value and the frequency characteristic information between original image and Interpolated image. The proposed methods might be useful for performance comparison of various Interpolation methods through the computer simulation.

• Journal of the Optical Society of Korea
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• v.14 no.4
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• pp.388-394
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• 2010

In this paper the object recognition performance of a photon counting integral imaging system is quantitatively compared with that of a conventional gray scale imaging system. For 3D imaging of objects with a small number of photons, the elemental image set of a 3D scene is obtained using the integral imaging set up. We assume that the elemental image detection follows a Poisson distribution. Computational geometrical ray back propagation algorithm and parametric maximum likelihood estimator are applied to the photon counting elemental image set in order to reconstruct the original 3D scene. To evaluate the photon counting object recognition performance, the normalized correlation peaks between the reconstructed 3D scenes are calculated for the varied and fixed total number of photons in the reconstructed sectional image changing the total number of image channels in the integral imaging system. It is quantitatively illustrated that the recognition performance of the photon counting integral imaging system can be similar to that of a conventional gray scale imaging system as the number of image viewing channels in the photon counting integral imaging (PCII) system is increased up to the threshold point. Also, we present experiments to find the threshold point on the total number of image channels in the PCII system which can guarantee a comparable recognition performance with a gray scale imaging system. To the best of our knowledge, this is the first report on comparisons of object recognition performance with 3D photon counting & gray scale images.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.4
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• pp.32-46
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• 2020

In this study, an analysis is conducted to understand the effect of the cabin crew's image-making autonomy on job enthusiasm, service performance and organizational performance. And this is conducted on cabin crew members in airlines with autonomy based on image making standards and a total of 109 copies are used for final analysis. First, the image-making autonomy show significant positive (+) influence on all of the sub-factors of job enthusiasm such as job vitality, job commitment, and job commitment. Second, all sub-factors of job enthusiasm, job vitality, job commitment and job commitment show a significant positive (+) influence on service performance. Third, service performance show a significant positive (+) influence relationship on organizational performance. As a result, it is expected that airlines will be used as a basis for easing the regulations for image making of cabin crew and introducing an autonomous management system in the future.

• Journal of Ocean Engineering and Technology
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• v.36 no.1
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• pp.32-40
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• 2022

Underwater optical images face various limitations that degrade the image quality compared with optical images taken in our atmosphere. Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast, blurry clarity, and color degradation in underwater images. We constructed an image data of the Korean sea and enhanced it by learning the characteristics of underwater images using the deep learning techniques of CycleGAN (cycle-consistent adversarial network), UGAN (underwater GAN), FUnIE-GAN (fast underwater image enhancement GAN). In addition, the underwater optical image was enhanced using the image processing technique of Image Fusion. For a quantitative performance comparison, UIQM (underwater image quality measure), which evaluates the performance of the enhancement in terms of colorfulness, sharpness, and contrast, and UCIQE (underwater color image quality evaluation), which evaluates the performance in terms of chroma, luminance, and saturation were calculated. For 100 underwater images taken in Korean seas, the average UIQMs of CycleGAN, UGAN, and FUnIE-GAN were 3.91, 3.42, and 2.66, respectively, and the average UCIQEs were measured to be 29.9, 26.77, and 22.88, respectively. The average UIQM and UCIQE of Image Fusion were 3.63 and 23.59, respectively. CycleGAN and UGAN qualitatively and quantitatively improved the image quality in various underwater environments, and FUnIE-GAN had performance differences depending on the underwater environment. Image Fusion showed good performance in terms of color correction and sharpness enhancement. It is expected that this method can be used for monitoring underwater works and the autonomous operation of unmanned vehicles by improving the visibility of underwater situations more accurately.

• Journal of the Semiconductor & Display Technology
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• v.10 no.3
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• pp.89-94
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• 2011

The image identification methodology associates an image with a unique identifiable representation. Whenever the methodology regenerates an identifier for the same image, moreover, the newly created identifier needs to be consistent in terms of representation value. In this paper, we discuss a methodology for image identifier generation utilizing luminance correlation. We furthermore propose a method for performance enhancement of the image identifier generation. We also demonstrate the experimental evaluations for uniqueness and similarity analysis and performance improvement that have shown favorable results.