• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.47-54
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• 2011

This paper describes the method to reduce the time-cost for depth estimation of an image by learning, on the basis of the Genetic Algorithm, the image's features. The depth information is estimated from the relationship among features such as the energy value of an image and the gradient of the texture etc. The estimation-time increases due to the large dimension of an image's features used in the estimating process. And the use of the features without consideration of their importance can have an adverse effect on the performance. So, it is necessary to reduce the dimension of an image's features based on the significance of each feature. Evaluation of the method proposed in this paper using benchmark data provided by Stanford University found that the time-cost for feature extraction and depth estimation improved by 60% and the accuracy was increased by 0.4% on average and up to 2.5%.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.1
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• pp.122-132
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• 2015

Purpose: This study was conducted to test the effect of Image Making Programs on image making efficacy, positive thinking, self-esteem, and nursing professionalism in nursing students. Methods: A non-equivalent control group pretest-posttest design was used. Participants were 124 nursing students at two universities, and were assigned to the treatment group (n=62) or the comparison group (n=62). The treatment was the Image Making Program, which was held twice over 2 days for 120 minutes per session. Data were collected from August to September 2012, and were analyzed using descriptive statistics, Kolmogorov-Smironov test, ${\chi}^2$-test, independent t-test, Mann-Whitney U test, one-tailed Mann-Whitney U test, independent one-tailed t-test with the SPSS/WIN 21.0 program. Results: Nursing students in the treatment group showed statistically significantly higher levels of image making efficacy, positive thinking, and nursing professionalism than those in the comparison group. Conclusion: The results indicate that the Image Making Program is an effective intervention for increasing image making efficacy, positive thinking, and nursing professionalism in nursing students. However, further research and practices are needed in this area.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.81-89
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• 2020

The purpose of this study is to investigate science consumers' perceptions of the National Science Museum and suggest effective management strategies for the museum. Research questions were established and the analyses were conducted to achieve the research goals. The collection and analysis of the data were conducted through a new approach to image analysis that combines qualitative and quantitative methods. First, the image of the concept of science was derived from science consumers (adults, undergraduate and graduate students) through a qualitative research method (group-interviewing), and then text analysis was conducted. Second, quantitative research was conducted through LDA (Latent Dirichlet Allocation)-based topical modeling of 63,987 words extracted from 12,920 titles of blog postings from one of the most heavily-trafficked portal sites in Korea. The results of this study indicate that the perception of science differs according to the characteristics of the respondents. Further, topic-modeling extracted 20 topics from the blog posting titles and the topics were condensed into seven factors. Detailed discussions and managerial implications are provided in the conclusion section.

• Korean Journal of Culture and Social Issue
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• v.27 no.2
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• pp.191-216
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• 2021

How an individual construes one's future influences everyday decisions. For example, savings and impulsive purchasing, which is highly familiar with our life, are related to future time perception. Drawing on the idea of future self-continuity, the perceived connectedness between the current and future self, this study demonstrated whether media images with various age ranges influence a sense of connectedness with one's future self as well as impatience. Furthermore, the study measured whether these relationships were moderated by the positivity of older adults and an individual's dispositional optimism in general. Results showed that watching various images of people with a wide range of age (from the 20s to 90s) in social media increased young adults' (the 20s) self-continuity and decreased their intention of impatient consumption. This effect was also moderated by the degree to which the participants perceive aging positively.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.209-221
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• 2019

A found-footage film La France est notre patrie is a documentary, in which archive images are juxtaposed with intertitles, non-diegetic music and foley, by borrowing an audiovisual strategy of silent films. The filmmaker Rithy Panh has excavated the images, which had been taken during the same period as the film history of the end of the 19^th and early 20^th centuries in Southeast Asia and Africa under French colonial rule. This paper examines the filmmaker's methods of historiography when utilizing archive images in order to represent the past by referring to Walter Benjamin's concept of historical montage and dialectical image. As the analysis illustrates the singularity of constructive methods, which include multi-layer viewpoints and montage styles of compilation and collage, it reveals how La France est notre patrie elicits the essay film modes through its self-reflexivity, leads audience to the threshold of critical thinking about time and history and creates a discourse of counter-memory.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.35 no.6
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• pp.121-127
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• 2023

Study on Aeolian transport began in 1941 when Bagnold first conducted a study on aeolian transport in desert conditions. Aeolian transport study was mainly conducted on deserts, and the field of coastal engineering began with the application of Bagnold's equation to the coast after 1980. However, many studies have shown that using the Bagnold equation on the coast overestimates the amount of aeolian transport. Currently, aeolian trap using various sensors ranging from simple forms have been developed and are being used in study. However, these aeolian traps have the disadvantage that there is a large difference in performance for each trap. In addition, in the case of existing traps, analysis is performed only on the amount of sand collected, and quantitative analysis of sand transport velocity or concentration is difficult. Therefore, in this study, we use image analysis techniques to evaluate the accuracy of aeolian transport velocity measurement and suggest a method that can be used in the study.

• Journal of the Korean Geotechnical Society
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• v.40 no.3
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• pp.33-39
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• 2024

Inspecting cracks to determine a structure's condition is crucial for accurate safety diagnosis. However, visual crack inspection methods can be subjective and are dependent on field conditions, thereby resulting in low reliability. To address this issue, this study automates the detection of concrete cracks in image data using ResNet, FPN, and the Mask R-CNN components as the backbone, neck, and head of a convolutional neural network. The performance of the proposed model is analyzed using the intersection over the union (IoU). The experimental dataset contained 1,203 images divided into training (70%), validation (20%), and testing (10%) sets. The model achieved an IoU value of 95.83% for testing, and there were no cases where the crack was not detected. These findings demonstrate that the proposed model realized highly accurate detection of concrete cracks in image data.

• The Journal of the Acoustical Society of Korea
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• v.28 no.2
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• pp.85-95
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• 2009

In the binaural synthesis environments, wide varieties of the head-related transfer functions (HRTFs) that have measured with a various direction would be desirable to obtain the accurate and various spatial sound images. To reduce the size' of HRTFs, interpolation has been often employed, where the HRTF for any direction is obtained by a limited number of the representative HRTFs. In this paper, we study on the distortion measures for interpolation, which has an important role in interpolation. With lhe various objective distortion metrics, the differences between the interpolated and the measured HRTFs were computed. These were then compared and analyzed with the results from the listening tests. From the results, the objective distortion measures were selected, that reflected the perceptual differences in spatial sound image. This measure was employed in a practical interpolation technique. We applied the proposed method to four kinds of an HRTF set, measured from three human heads and one mannequin. As a result, the Mel-frequency cepstral distortion was shown to be a good predictor for the differences in spatial sound location, when three HRTF measured from human, and the time-domain signal to distortion ratio revealed good prediction results for the entire four HRTF sets.

• Journal of Auto-vehicle Safety Association
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• v.13 no.2
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• pp.35-41
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• 2021

In this study, improved path tracking control algorithm based on pure pursuit algorithm is newly proposed by using improved lane detection algorithm through real time post-processing with interpolation methodology. Since the original pure pursuit works well only at speeds below 20 km/h, the look-ahead distance is implemented as a sigmoid function to work well at an average speed of 45 km/h to improve tracking performance. In addition, a smoothing filter was added to reduce the steering angle vibration of the original algorithm, and the stability of the steering angle was improved. The post-processing algorithm presented has implemented more robust lane recognition system using real-time pre/post processing method with deep learning and estimated interpolation. Real time processing is more cost-effective than the method using lots of computing resources and building abundant datasets for improving the performance of deep learning networks. Therefore, this paper also presents improved lane detection performance by using the final results with naive computer vision codes and pre/post processing. Firstly, the pre-processing was newly designed for real-time processing and robust recognition performance of augmentation. Secondly, the post-processing was designed to detect lanes by receiving the segmentation results based on the estimated interpolation in consideration of the properties of the continuous lanes. Consequently, experimental results by utilizing driving guidance line information from processing parts show that the improved lane detection algorithm is effective to minimize the lateral offset error in the diverse maneuvering roads.

• Korean Journal of Food Science and Technology
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• v.54 no.2
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• pp.241-246
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• 2022

Antibiotic resistance is a serious problem to food safety as well as human healthcare. To avoid this, there are several approaches for a new class of antibiotic agents that target only production of virulence factors such as biofilm without bacterial growth defect. The objective of this study was to investigate the antibiofilm activity of tuberostemonine in Staphylococcus aureus. Tuberostemonine significantly reduced the biofilm formation (26.07-47.02%) in the crystal violet assay whereas there were no effect on S. aureus growth. The dispersion in preformed biofilm was also observed by confocal laser scanning microscopy (CLSM). Quantification real-time PCR revealed that the icaA and agrA expression having an important role in biofilm production of S. aureus were strongly affected with tuberostemonine. These results suggest that tuberostemonine has potential for controlling biofilm formation and dispersion by effect on virulence regulation of S. aureus.