• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.6
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• pp.572-579
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• 2022

The analysis of foreign aircraft appearing suddenly in air defense identification zones requires a lot of cost and time. This study aims to develop a pre-trained model that can identify neighboring military aircraft based on aircraft photographs available on the web and present a model that can determine which aircraft corresponds to based on aerial photographs taken by allies. The advantages of this model are to reduce the cost and time required for model classification by proposing a pre-trained model and to improve the performance of the classifier by data augmentation of edge-detected images, cropping, flipping and so on.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.113-119
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• 2023

This research analyzed the importance and influence of color expression on psychological and emotional changes of visual perception in the creation of art works. This research takes the element of the sky in the works of Vincent William Van Gogh, a Dutch post-Impressionist representative painter, as the basic research objective to prove the influence of color expression of the same thing on the inner emotional communication of the creator. After synthesizing the contents of previous research and investigation on Van Gogh, this research will summarize the works containing sky elements in Van Gogh's works according to his four creative stages, and select representative works for color analysis and comparison. In this paper, by comparing the colors of the same elements of the sky, we can find Van Gogh's guidance of psychological and emotional changes through the expression of colors in his works, which will play a certain inspiring role in the creation of painting art.

• Korean Journal of Acupuncture
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• v.38 no.4
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• pp.290-307
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• 2021

Objectives : Perceptual experiences have a causal relationship with reality. If there exists something corresponding to acupoints, there should be perceptual experiences for that something. The purpose of this study is to identify and to analyze the perceptual experiences for acupoints within 『LingShu·BenShu』. Methods : First, we briefly propose a perceptual anatomy in order to describe the perceived human body parts, and their perceived directions and places. Second, we analyze the ways of identifying acupoints in the original text of 『LingShu·BenShu』. Results : From 『LingShu·BenShu』, the procedures of identifying total 64 acupoints were recognized. It was clarified that they are by way of visual and haptic explorations in body regions and partial regions. Conclusions : Perceptual explorations for acupoints follow three major principles: of gradual narrowing down, of determination of direction or place, of relative distance. At the final stages, categories of form and location are encountered by observers. The forms have either concavities or convexities. They are determinate indicators of where acupoints are, while the locations are indetermanate. Haptic forms of acupoints are newly discovered from textual analysis with perceptual anatomy. These properties will shed new light both on study of acupoints and on study of meridians.

• Knowledge Management Research
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• v.23 no.2
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• pp.83-98
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• 2022

The current study investigated the effect of user interface design on metaverse user's objective task performance, perceived usefulness, presence, and enjoyment. Using a 2 × 2 within-subject repeated measure experimental design, we found that users perceived the interface to be significantly more useful when additional visual cues existed and performed better for the given task. Additionally, a repeated-measure mediation analysis revealed that the effect of richer information in the interface on users' enjoyment as a function of need satisfaction was mediated by perceived usefulness. Theoretical and practical implication are derived from the result of the current study.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.107-116
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• 2022

Purpose: Researchers have shown that aesthetic judgments of artworks depend on contexts, such as the authenticity of an artwork (Newman & Bloom, 2011) and an artwork's location of display (Kirk et al., 2009; Silveira et al., 2015). The present study aims to examine whether contextual information related to the creator, such as whether an artwork was created by a human or artificial intelligence (AI), influences viewers' preference judgments of an artwork. Methods: Images of Impressionist landscape paintings were selected as human-made artworks. AI-made artwork stimuli were created using Google's Deep Dream Generator by mimicking the Impressionist style via deep learning algorithms. Participants performed a preference rating task on each of the 108 artwork stimuli accompanied by one of the two creator labels. After this task, an art experience questionnaire (AEQ) was given to participants to examine whether individual differences in art experience influence their preference judgments. Results: Setting AEQ scores as a covariate in a two-way ANCOVA analysis, the stimuli with the human-made context were preferred over the stimuli with the AI-made context. Regarding the types of stimuli, the viewers preferred AI-made stimuli to human-made stimuli. There was no interaction effect between the two factors. Conclusion: These results suggest that preferences for visual artworks are influenced by the contextual information of the creator when the individual differences in art experience are controlled.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1059-1068
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• 2022

Recently, research using image-based deep learning is being conducted to determine similar fonts or recommend fonts. In order to increase the accuracy in judging the similarity of Hangul fonts, a previous study was conducted to calculate the similarity according to the combination of stroke elements. In this study, we tried to solve this problem by designing an integrated model that reflects the weights for each stroke element. By comparing the results of the user's font similarity calculation conducted in the previous study and the weighted model, it was confirmed that there was no difference in the ranking of the influence of the stroke elements. However, as a result of comparison by letter sizes, it was confirmed that there was a difference in the ranking of the influence of stroke elements. Accordingly, we proposed a weighted model set separately for each font size.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.1
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• pp.13-29
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• 2023

Objectives To evaluate the evidence supporting the effectiveness of acupuncture for facet joint syndrome. Methods We conducted search across 9 electronic databases (PubMed, EMBASE, Cochrane CENTRAL (CENTRAL), KoreaMed, Kmbase, Koreanstudies Information Service System (KISS), ScienceOn, China National Knowledge Infrastructure (CNKI), and Wanfang) to find clinical trials that used acupuncture as treatment for facet joint syndrome. The methodological quality of randomized controlled clinical trials (RCTs) were assessed using the Cochrane Risk of Bias (RoB) tool, while non-randomized controlled clinical trials (nRCTs) were assessed using the Cochrane Risk of Bias Assessment tool for Non-randomized Study (RoBANS) tool. Results Nine RCTs and one nRCT met our inclusion criteria. Fire needle was more effective than medial branch block in terms of visual analogue scale (VAS) after 1 month (p=0.02). Also, Fire needle was more effective than Ibuprofen in terms of VAS and oswestry disability index (ODI) (p<0.05). However, in the rest of the study results, the intervention group did not show a statistically significant difference than the control group. Conclusions Although our review found encouraging but limited evidence of acupuncture for facet joint syndrome, most of the studies included in the analysis were evaluated as methodologically high risk of bias. From now on further well-designed RCTs should be encouraged.

• Annual Conference of KIPS
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• 2010.11a
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• pp.1388-1391
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• 2010

In this paper, we present a design and implementation of U-learning system using pen based augmented reality approach. Student has been given a smart pen and a smart study book, which is similar to the printed material already serviced. However, we print the study book using CMY inks, and embed perceptually invisible dot patterns using K ink. Smart pen includes (1) IR LED for illumination, IR pass filter for extracting the dot patterns, and (3) camera for image captures. From the image sequences, we perform topology analysis which determines the topological distance between dot pixels, and perform error correction decoding using four position symbols and five CRC symbols. When a student touches a smart study books with our smart pen, we show him/her multimedia (visual/audio) information which is exactly related with the selected region. Our scheme can embed 16 bit information, which is more than 200% larger than previous scheme, which supports 7 bits or 8 bits information.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.141-149
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• 2023

Repacked mobile apps constitute about 78% of all malware of Android, and it greatly affects the technical ecosystem of Android. Although many methods exist for repacked app detection, most of them suffer from performance issues. In this manuscript, a novel method using the Constant Key Point Selection and Limited Binary Pattern (CKPS: LBP) Feature extraction-based Hashing is proposed for the identification of repacked android applications through the visual similarity, which is a notable feature of repacked applications. The results from the experiment prove that the proposed method can effectively detect the apps that are similar visually even that are even under the double fold content manipulations. From the experimental analysis, it proved that the proposed CKPS: LBP method has a better efficiency of detecting 1354 similar applications from a repository of 95124 applications and also the computational time was 0.91 seconds within which a user could get the decision of whether the app repacked. The overall efficiency of the proposed algorithm is 41% greater than the average of other methods, and the time complexity is found to have been reduced by 31%. The collision probability of the Hashes was 41% better than the average value of the other state of the art methods.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1260-1265
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• 2009

Topographical features in South Korea is characterized that 70% of territory is composed of the mountains that can experience intense rainfall during storms in the summer and autumn. Efficient planning and management of landscape becomes utmost important since the cutting slopes in the mountain areas have been increased due to the limited construction areas for the roadway and residential development. This paper proposed an efficient way of slope management for the landslide risk by developing Web-GIS landslide risk management system. By deploying the Logistic Regression Analysis, the system could increase the prediction accuracy that the landslide disaster might be occurred. High resolution survey technology using GPS and Total-Station could extract the exact position and visual shape of the slopes that accurately describe the slope information. Through the proposed system, the prediction of damage areas from the landslide could also make it easy to efficiently identify the level of landslide risks via web-based user interface. It is expected that the proposed landslide risk management system can support the decision making framework during the identification, prediction, and management of the landslide risks.