• Journal of Fashion Business
• /
• v.6 no.4
• /
• pp.163-172
• /
• 2002

The purpose of this study is to investigate purple image and formative properties in contemporary fashion. For the study of formative properties 152 kinds of costume samples from photographs in fashion magazines. For the study of image 40 kinds of costume samples is used and divided into tones : pale(Vp, Lgr, L), bright(P, B), vivid(S, V, Dp), dark(Gr, Dl, Dgr, Dk). A total 24 pairs of abjective words were used to measure the semantic differential scale in this study. The data were analyzed by factor analysis, ANOVA, MDS and regression analysis. The results are as follows; 1. Factor analysis has extracted 5 factors which consist of purple image in contemporary fashion. The factors are high quality, hardness and softness, simplicity, temperature, maturity. 2. There were significant differences in visual evaluation of purple tones. 3. The discrimination among. 4 purple tones was related to weight of purple 4. The evaluative dimensions of purple image in modern fashion were identified by Light - Heavy and Pale - Strong. 5. The image effect on Preference, Buying needs, Pleasant and Riches was consist of complicated sensibility.

• Journal of Fashion Business
• /
• v.25 no.4
• /
• pp.141-150
• /
• 2021

Recently, interest of consumers in home furnishing products has increased steadily because of the increased time spent at home due to COVID-19. Among them, carpets made of various materials and technologies are becoming popular interior item. Academic and industrial sectors agreed on the need to produce premium design carpets. Prior research on carpet design was mostly focused on patterns, history, with insufficient investigations on the type. Therefore, the purpose of this study was to provide basic data to develop premium design carpets by analyzing their expression types. To analyze expression types, this study covered about 400 design carpets surveyed on the websites of eight major carpet companies from January 2021 to March 2021. Based on the analysis results, the five expression types of are as follows. Firstly, the expression type was expressed in various atypical forms that was deviated from the formal form. Secondly, it was a type that improves visual and tactile effects through a variety of 3-D textures. Thirdly, it was a type of diversification of motifs, which was based on the works of artists and designers in various fields. Fourthly, it was a type that combines two or more different materials and techniques. Finally, it was a modular type that can be applied in various ways to various spaces. Based on the analysis results of this study, it is hoped that the data will be helpful to produce premium design carpets in Korea.

• Journal of Korea Game Society
• /
• v.21 no.5
• /
• pp.105-114
• /
• 2021

In this study, we analyzed the motion animation of game characters, which is a visual part of the game elements for 'Hit Impact'. The game selected for analysis focused on the movements of the characters in the arcade game , which is thought to have a weak 'Hit Impact' and looked for the cause. We also analyzed the differences in the motion of the characters in the home transplant version of , which is considered to have improved 'Hit Impact', compared to the arcade version. As a result of the analysis, it was found that the reason for the weak 'Hit Impact' in the arcade version was mainly due to the wrong timing and judgment of hitting and hitting movements, and at the same time, supplemented physical reactions and stun, camera directing, and hitting effects could have a significant impact on improving 'Hit Impact'.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.4
• /
• pp.2129-2147
• /
• 2019

This paper introduces an adaptive face recognition method based on a Novel Incremental Kernel Nonparametric Discriminant Analysis (IKNDA) that is able to learn through time. More precisely, the IKNDA has the advantage of incrementally reducing data dimension, in a discriminative manner, as new samples are added asynchronously. Thus, it handles dynamic and large data in a better way. In order to perform face recognition effectively, we combine the Gabor features and the ordinal measures to extract the facial features that are coded across local parts, as visual primitives. The variegated ordinal measures are extraught from Gabor filtering responses. Then, the histogram of these primitives, across a variety of facial zones, is intermingled to procure a feature vector. This latter's dimension is slimmed down using PCA. Finally, the latter is treated as a facial vector input for the advanced IKNDA. A comparative evaluation of the IKNDA is performed for face recognition, besides, for other classification endeavors, in a decontextualized evaluation schemes. In such a scheme, we compare the IKNDA model to some relevant state-of-the-art incremental and batch discriminant models. Experimental results show that the IKNDA outperforms these discriminant models and is better tool to improve face recognition performance.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.26 no.4
• /
• pp.116-121
• /
• 2018

According to the incresement of aging aircraft, Republic of Korea Air Force (RoKAF) conducted a teardown inspection of aircraft's EWIS (electrical wiring interconnection system) to determine the status of deterioration and the influence of failure occurrences due to it. The inspected aircraft were the retired fighter jets that had been used for more than 40 years. By analyzing defect type and the defect tendency, RoKAF can establish the necessary measures for the usage extension of their fleet and furthermore, the analysis results can be used as a basic data for the preparation of it's aircraft aging. EWIS inspection was done throughout careful visual inspection technique by removing all the ducts and pipes located in the fuselage and wings. For the aircraft wiring where no damage was found, the elongation tests were performed to determine the deterioration of wiring according to the location of the aircraft. The connectors, which is the main cause of intermittent failure, were completely disassembled and inspected for internal damage such as corrosion, abrasion, and traces of foreign objects. The detected defects were classified into 4 severity levels based on the type of damage, and the classified defects were weighted according to the criticality which may affects to it's system to establish the action plan.

• Annals of Clinical Neurophysiology
• /
• v.21 no.1
• /
• pp.16-29
• /
• 2019

Background: Sex influences is important to understand behavioral manifestations in a large number of neuropsychiatric disorders. We found electrophysiological differences specifically related to the influence of sex on psychopathic traits. Methods: The resting electroencephalography (EEG) activity and low-resolution brain electromagnetic tomography (LORETA) for the EEG spectral bands were evaluated in 38 teenagers with conduct disorder (CD). The 25 male and 13 female subjects had psychopathic traits as diagnosed using the Antisocial Process Screening Device. All of the included adolescents were assessed using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) criteria. The visually inspected EEG characteristics and the use of frequency-domain quantitative analysis techniques are described. Results: Quantitative EEG (QEEG) analysis showed that the slow-wave activities in the right frontal and left central regions were higher and the alpha-band powers in the left central and bitemporal regions were lower in the male than the female psychopathic traits group. The current source density showed increases in paralimbic areas at 2.73 Hz and decreases in the frontoparietal area at 9.37 Hz in male psychopathics relative to female psychopathics. Conclusions: These findings indicate that QEEG analysis and techniques of source localization can reveal sex differences in brain electrical activity between teenagers with CD and psychopathic traits that are not obvious in visual inspections.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.36 no.5
• /
• pp.59-70
• /
• 2020

The purpose of this study is to derive the environmental factors affecting child loss through correlation analysis between child loss and pedestrian density. The status of lost children was identified through the lost child records and interviews in large parks. In addition, the behavior survey was conducted by photographing the entire outdoor of each park, and visitors was marked on the behavioral maps. Also, the pedestrian density was analyzed by GIS as 100㎡ and 1㎡ grid. As a result, child loss was related to the pedestrian density rather than the number of visitors or the area. Especially, 'Dynamic pedestrian density' and 'Ratio of pedestrian in high density to area' was related to child loss. In other words, the more dynamic behaviors such as play and movement appear, and the more the local area of high density, the higher the probability of child loss. In addition, environmental factors that induce such high density include bottlenecks, overlap of circulation due to multi-functionality of space, concentration of rides, and concentration of guardians due to visual obstacles.

• International journal of advanced smart convergence
• /
• v.12 no.3
• /
• pp.104-108
• /
• 2023

This paper deals with research on innovative systems using Python-based artificial intelligence technology in the field of plant growth monitoring. The importance of monitoring and analyzing the health status and growth environment of plants in real time contributes to improving the efficiency and quality of crop production. This paper proposes a method of processing and analyzing plant image data using computer vision and deep learning technologies. The system was implemented using Python language and the main deep learning framework, TensorFlow, PyTorch. A camera system that monitors plants in real time acquires image data and provides it as input to a deep neural network model. This model was used to determine the growth state of plants, the presence of pests, and nutritional status. The proposed system provides users with information on plant state changes in real time by providing monitoring results in the form of visual or notification. In addition, it is also used to predict future growth conditions or anomalies by building data analysis and prediction models based on the collected data. This paper is about the design and implementation of Python-based plant growth monitoring systems, data processing and analysis methods, and is expected to contribute to important research areas for improving plant production efficiency and reducing resource consumption.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.47 no.1
• /
• pp.152-170
• /
• 2023

Although ugliness had long been considered a negative form of beauty, it has become an independent aesthetic category. However, most previous art studies have focused on Rosenkranz's theory, making its application to contemporary fashion analysis challenging. Therefore, it is necessary to redefine ugliness. This study highlighted four modern ugliness categories from a modern perspective following the examination of the historical considerations of the ugliness concept, namely ugliness as a violation of taboo, ugliness as an unpleasant emotion, ugliness as a vulgar taste, and ugliness as an ethical flaw. From this perspective, SHOWstudios for fashion films were analyzed in the present study. The results of our analysis showed that ugliness in the film was related to socially sensitive subjects and stimulating images. Whereas costumes in the film were used as a tool to convey the subject and to enhance the visual effect of the image. In addition, clothing was identified as a core subject element of the video, particularly when considering ugliness as an ethical defect. This study provides further insights into contemporary fashion analysis, expanding the ugliness perspective, which had been limited to the specific perspectives of scholars.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.25 no.1
• /
• pp.65-81
• /
• 2023

The purpose of this study is to interpret the semantic actions of body image symbolized in body expression images shown by micro-influencers body profiles to understand the body profile phenomenon of the MZ generation. As a result of collecting body profile data from micro-influencers, the body profile image types of female influencers on SNS were classified into four types, Athletic, Slim body, Natural, and, Glamorous. Images representing each type were analyzed using the Roland Barthes' Myth model analysis frame. As a result of the semantic analysis, influencers were found to be very active and bold, emphasizing certain body parts according to the type of body image they pursue. Fashion is strategically used to emphasize these aspects. It was found that the ideology of a 'subjective modern woman' was commonly expressed through emphasis on visual signs. This study is meaningful in that it can indirectly lead to the understanding the fashion culture expressed by the MZ generation and provide consumer information and essential data that can be used for communication strategies in the fashion market.