• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.542-548
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• 2006

In this paper, we propose a face region detection/verification method using wavelet packet analysis and structural statistic for frontal human color image. The method extracts skin color lesions from input images, first. and then applies spatial restrictive conditions to the region, and determines whether the region is face candidate region or not. In second step, we find eye region in the face candidate region using structural statistic for standard korean faces. And in last step, the face region is verified via wavelet packet analysis if the face torture were satisfied to normal texture conditions.

• Journal of the Korean Society of Food Culture
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• v.22 no.4
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• pp.414-419
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• 2007

The purpose of this study was to measure the effect of disgust with meat mediating the factors influencing meat consumption. Structural equation model was used to measure the causal relationships among constructs. The structural analysis Result of the data indicated excellent model fit. The effects of moral concerns for animals, meat texture and satiety from meat on disgust with meat were statistically significant. The effects of color in meat and negative body esteem on disgust with meat were not statistically significant. As expected, disgust with meat had a significant effect on meat consumption. Moreover, disgust with meat played a mediating role in the relationship between moral concerns for animals and meat consumption. Disgust with meat played a mediating role in the relationship between satiety from meat and meat consumption. Disgust with meat did not play a mediating role in the relationship between color in meat and meat consumption. Disgust with meat did not play a mediating role in the relationship between body esteem and meat consumption. In conclusion, based on structural analysis, a model was proposed of interrelations among constructs. It should be noted that the original model was modified and should, preferably, be validated in future research.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.90.1-90.1
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• 2013

Nature utilizes various of the colorization process. Some species of birds can express their mood of tempers by changing their collagen structures on skin. For example, turkey can change their skin color by expansion of the collagen structures, which are associated with the distinct color changes. Here, we developed bioinspired virus-based colorimetric sensors which can be genetically tuned for target molecule. Using M 13 bacteriophage, we fabricated responsive self-assembled color matrices composed of quasi-ordered fiber bundle structures. These virus matrices can exhibit color change by stimuli through fiber bundle structure modulation. Upon exposure of volatile organic compounds, the resulting multi-colored matrices exhibited distinct color changes with different ratios that can be recognized by the naked eyes. Using the directed evolutionary approaches, we genetically engineered the virus matrix to incorporate binding motif for explosive detection (i.e., trinitrotoluene (TNT)). Through utilizing a common handheld device (i.e., iPhone), we could distinguish TNT molecules down to 20 ppb in a selective manner. Our novel biomimetic virus colorimetric sensor can overcome current limitation for low response selectivity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2068-2082
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• 2023

With the rapid development of deep learning, Depth Map Super-Resolution (DMSR) method has achieved more advanced performances. However, when the upsampling rate is very large, it is difficult to capture the structural consistency between color features and depth features by these DMSR methods. Therefore, we propose a color-image guided DMSR method based on iterative depth feature enhancement. Considering the feature difference between high-quality color features and low-quality depth features, we propose to decompose the depth features into High-Frequency (HF) and Low-Frequency (LF) components. Due to structural homogeneity of depth HF components and HF color features, only HF color features are used to enhance the depth HF features without using the LF color features. Before the HF and LF depth feature decomposition, the LF component of the previous depth decomposition and the updated HF component are combined together. After decomposing and reorganizing recursively-updated features, we combine all the depth LF features with the final updated depth HF features to obtain the enhanced-depth features. Next, the enhanced-depth features are input into the multistage depth map fusion reconstruction block, in which the cross enhancement module is introduced into the reconstruction block to fully mine the spatial correlation of depth map by interleaving various features between different convolution groups. Experimental results can show that the two objective assessments of root mean square error and mean absolute deviation of the proposed method are superior to those of many latest DMSR methods.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.138.2-138
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• 2001

This paper proposes the technique for recognizing the human´s emotion by using the CCD color image. To do this, we first acquire the color image from the CCD camera. And then propose the method for recognizing the expressing to be represented the structural correlation of man´s feature points(eyebrows, eye, nose, mouse), In the proposed method. Human´s emotion is divided into four emotion(surprise, anger, happiness, sadness). Finally, we have proven the effectiveness of the proposed method through the experimentation.

• Fibers and Polymers
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• v.5 no.4
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• pp.321-326
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• 2004

[ $TiO_2$ ] contents in yarns can influence color yield so that dyeing quality of industrial polyethylene terephthalate (PET) yarns can be improved through the adjustment of $TiO_2$ contents. To evaluate the dyeing performance of color yield, the chips which included the different $TiO_2$ contents of 330,550, and 1,100 ppm respectively were used to produce the yarns of different $TiO_2$ content by a spin-draft machine. The physical and structural properties of the yarns were measured to investigate effect of the $TiO_2$ contents on them. Dye uptake and dyeing rate were also evaluated using a colorimeter to compare the yarns having different TiOz contents. The experimental results showed that there were no appreciable variation in physical and structural properties among the yarn samples and no difference were observed among the dyed fabric samples with regard to dyeing uptake and dyeing rate. However, the color yield of dyed fabrics increased as $TiO_2$ contents decreased in the yarns especially when the fabric samples were dyed to pale shade. The physical reasoning could be proposed on why the yarns having low $TiO_2$ contents appeared to have higher color yield after dyeing.

• Molecules and Cells
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• v.39 no.10
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• pp.750-755
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• 2016

Although innate color preference of motile organisms may provide clues to behavioral biases, it has remained a longstanding question. In this study, we investigated innate color preference of zebrafish larvae. A cross maze with different color sleeves around each arm was used for the color preference test (R; red, G; green, B; blue, Y; yellow). The findings showed that 5 dpf zebrafish larvae preferred blue over other colors (B > R > G > Y). To study innate color recognition further, tyrosinase mutants were generated using CRISPR/Cas9 system. As a model for oculocutaneous albinism (OCA) and color vision impairment, tyrosinase mutants demonstrated diminished color sensation, indicated mainly by hypopigmentation of the retinal pigment epithelium (RPE). Due to its relative simplicity and ease, color preference screening using zebrafish larvae is suitable for high-throughput screening applications. This system may potentially be applied to the analysis of drug effects on larval behavior or the detection of sensory deficits in neurological disorder models, such as autism-related disorders, using mutant larvae generated by the CRISPR/Cas9 technique.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.203-208
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• 2020

In this paper, we propose the design and implementation of a desktop LED stand and smart app that automatically adjusts color temperature and illuminance for optimal brightness and eye health by improving the structural problem of the LED stand. It is a tabletop LED stand that supports optimal brightness through color temperature control and heat transfer through infrared LED to relieve eye strain through blood circulation and muscle movement. The LED stand works with the smartphone to automatically adjust the optimal brightness and color temperature for the user's environment. In addition, the brightness of the infrared LED is adjusted to a living frequency of 4Hz to relax the eye muscles and reduce eye strain. This study implemented an effective measured data-based system of previous studies through the color temperature and illumination of LED lighting, and near-infrared rays, and presented meaningful results by conducting an experiment to prove the effect through subjects.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.513-514
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• 2012

• Fashion & Textile Research Journal
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• v.16 no.5
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• pp.719-729
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• 2014

This study identified factors for purchase motives in regards to the latest trendy color bags as well as ascertained the structural relations of purchasing behavior in regards to purchase motives, purchase type, satisfaction, and repurchase intention. Other purposes examined the differences in purchase motivations, purchase types, satisfaction, and repurchase intention according to consumer characteristics, and provided strategic information on women's bag manufacturers and retailers. A random sampling method collected data based on a survey of Korean women between the ages of 20 and 59 who had purchased the latest trendy color bag. A questionnaire developed by the researcher was distributed to 450 women in 2013. We analyzed 433 questionnaires using the SPSS 18.0 program and AMOS 18.0 program. The summarization of the findings are as follows. First, purchase motives for the latest trendy color bags were classified into 5 factors: awareness-symbolicity, practicality, aesthetic, harmony, and fashionability. Second, aesthetic and harmony showed significant influenceson planned purchases due to an analysis of structural relations between purchase motives for the latest trendy color bags and type of purchase; in addition, awareness-symbolicity, aesthetic and fashionability significantly influenced unplanned purchases. Third, there was no significant influence for planned purchases on satisfaction; however, unplanned purchases showed a significant.