• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.4
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• pp.392-400
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• 2001

This paper proposes an illuminant estimation algorithm that estimates the spectral power distribution of an incident light source from a single image. The proposed illumination recovery procedure has two phases. First, the surface spectral reflectances are recovered in the maximum achromatic region (MAR) which is the most achromatic and highly bright region of an image after removing partially the effect of illumination using a modified gray world algorithm. Here, the surface reflectances of MAR are estimated using the principal component analysis method along with a set of given 1269 Munsell samples. Second, the Population of reflected lights is determined with 1269 Munsell samples and a set of illuminations then the spectral distribution of re(looted lights of MAR is selected from the spectral database. That is, color differences are compared between the reflected lights of the MAR and the spectral database, which is the set of reflected lights built by the given set of Munsell samples and illuminants. Then the closest colors from the spectral database are selected. Finally, the illuminant of an image can be calculated dividing the average spectral distributions of reflected lights of MAR by the average surface reflectances of the MAR. In order to evaluate the proposed algorithm, experiments with artificial scenes, which are exposed to chromatic illuminants, were performed and the spectral distribution of estimated illumination and color difference are compared with results of the conventional method.

• Asian-Australasian Journal of Animal Sciences
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• v.26 no.12
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• pp.1762-1772
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• 2013

The objective of the current study was to determine the effect of pre-slaughter stress, season and breed on the activity of plasma creatine kinase (CK) and the quality of mutton. One hundred and seventy-three (173) castrated sheep from Dormer (DM), South African Mutton Merino (SAMM), Dorper (DP) and Blackhead Persian (BP) sheep breeds were used in the study. The animals were grouped according to age-groups as follows: Group 1 (6 to 8 months), Group 2 (9 to 12 months) and Group 3 (13 to 16 months). Blood samples were collected during exsanguinations using disposable vacutainer tubes for CK analysis. Representative samples of the Muscularis longissimuss thoracis et. lumborum (LTL) were collected from 84 castrated sheep, of different breeds (28 per breed) 24 h after slaughter. The following physico-chemical characteristics of mutton were determined; meat pH ($pH_{24}$), color ($L^*$, $a^*$ and $b^*$), thawing and cooking losses and Warner Braztler Shear Force (WBSF). The activity of plasma CK was significantly higher (p<0.001) in summer ($1,026.3{\pm}105.06$) and lower in winter ($723.3{\pm}77.75$). There were higher values for $L^*$ ($33.7{\pm}0.94$), $b^*$ ($11.5{\pm}0.48$) and WBSF ($29.5{\pm}1.46$) in summer season than in winter season; $L^*$ ($29.4{\pm}0.64$), $b^*$ ($10.2{\pm}0.33$) and WBSF ($21.2{\pm}0.99$). The activity of plasma CK was influenced by the type of breed with Dormer having the highest (p>0.001) levels ($1,358.6{\pm}191.08$) of CK. South African Mutton Merino had higher values for $pH_{24}$ ($5.9{\pm}0.06$), $L^*$ ($34.2{\pm}0.97$), $b^*$ ($12.2{\pm}0.50$) and WBSF ($26.8{\pm}1.51$) and Blackhead Persian had higher values ($35.5{\pm}2.17$) for cooking loss (CL%) than the other breeds. Computed Principal Component Analyses (PCA) on the activity of plasma CK and physico-chemical characteristics of mutton revealed no correlations between these variables. However, positive correlations were observed between $pH_{24}$, $L^*$, $a^*$, $b^*$, CL% and WBSF. Relationships between pre-slaughter stress, CK activity and physico-chemical characteristics of mutton were also observed. It was therefore concluded that although mutton quality and creatine kinase were not related, pre-slaughter stress, season and breed affected the activity of creatine kinase and mutton quality.

• Asian-Australasian Journal of Animal Sciences
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• v.33 no.10
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• pp.1656-1665
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• 2020

Objective: This study aimed to determine the effects of stress during slaughter of beef cattle on physiological parameters, carcass, and meat quality at a Federal Inspection Type slaughterhouse located in the southeast of Mexico. Methods: A total of 448 carcasses of male Zebu×European steers with an average age of 36 months were included. Carcass assessment of presence of bruises and bruise characteristics was carried out on each half-carcass. Blood variable indicators of stress (packed cell volume, neutrophil to lymphocyte ratio, glucose, cortisol concentration) and meat quality parameters (pH, color, shear force, drip loss) were evaluated. Results: Of the 448 carcasses evaluated, 81% of the carcasses showed at least one bruise; one bruise was detected in 36.6% and two bruises in 27.0% of animals. Of the 775 bruises found, 69.2% of the bruises were grade 1 in region 3. Of the 448 carcasses studied, 69.6% showed hyperglycemia (6.91 mmol/L); 44.3% and 22.7% showed high (74.7 ng/mL) and extremely high (108.8 ng/mL) cortisol levels, respectively, indicative of inadequate handling of animals during preslaughter and slaughter. Of the carcasses evaluated, 90.4% had a pH ≥5.8 with an average of pH 6.3. In both pH groups, meat samples showed L^⋆ values >37.0 (81.6%) and a shear force >54.3 N; meat pH≥5.8 group showed a drip loss of 2.5%. These findings were indicative of dark, firm, and dry (DFD) meat. According to principal component analysis, grades 1 and 2 bruises in region 3 and grade 1 bruises in region 5 were highly associated with cortisol, drip loss, and color parameters b^⋆ and h^⋆ and were negatively associated with L^⋆, a^⋆, and C^⋆. Conclusion: The bruises probably caused by stress-inducing situations triggered DFD meat. Appropriate changes in handling routines in operating conditions should be made to minimize stress to animals during the slaughter process to improve animal welfare and meat quality.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.7
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• pp.779-785
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• 2015

Cathodic protection is recognized as the most cost-effective and technically appropriate corrosion prevention method for the submerged zone of offshore structures, ships, and deep-sea facilities. When cathodic protection is applied, the cathodic currents cause dissolved oxygen reduction, generating hydroxyl ions near the polarized surface that increase the interfacial pH and result in enhanced carbonate ion concentration and precipitation of an inorganic layer whose principal component is calcium carbonate. Depending on the potential, magnesium hydroxide can also precipitate. This mixed deposit is generally called "calcareous deposit." This layer functions as a barrier against the corrosive environment, leading to a decrease in current demand. Hence, the importance of calcareous deposits for the effective, efficient operation of marine cathodic protection systems is recognized by engineers and scientists concerned with cathodic protection in submerged marine environments. Calcareous deposit formation on a marine structure depends on the potential, current, pH, temperature, pressure, sea-water chemistry, flow, and time; deposit quality is significantly influenced by these factors. This study determines how calcareous deposits form in sea water, and assesses the interrelationship of formation conditions (such as the sea water temperature and surface condition of steel), deposited structure, and properties and the effectiveness of the cathodic protection.

• Journal of Yeungnam Medical Science
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• v.24 no.1
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• pp.67-78
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• 2007

Background : Interleukin-18 (IL-18) is one of the principal inducers of interferon-${\gamma}$ (IFN-${\gamma}$) in lymphocytes. Materials and Methods : The effect of IL-18 on the expression of chemokine IP-10(CXCL10) mRNA in C57BL/6 mouse peritoneal macrophages was studied by using Northern blot analysis, enzyme linked immunosobent assay and electrophoretic mobility shift assay. Results : IL-18 was determined to exert no direct effect on the expression of IP-10(CXCL10) mRNA. However, IL-18 pretreatment was determined to play a cooperative role in the synergistic induction of LPS-induced IP-10(CXCL10) mRNA expression. The effect associated with IL-18 pretreatment with regard to the synergistic induction of LPS-induced IP-10 (CXCL10) mRNA expression was detected after 16 hr of IL-18 pretreatment, administered prior to LPS stimulation. The pattern of NF-${\kappa}B$ binding activity during IL-18 pretreatment with LPS stimulation was found to coincide with the expression of IP-10(CXCL10) mRNA. Conclusion : Although IL-18 alone exerts no direct effect on the expression of chemokine IP-10(CXCL10), a definite period of IL-18 pretreatment induces the synergistic expression of LPS-induced IP-10(CXCL10) mRNA. NF-${\kappa}B$ activation is a component of this synergistic effect of IL-18 pretreatment. These results provide useful information, which may facilitate the elucidation of the action mechanisms underlying IL-18 effect on the expression of IP-10(CXCL10) mRNA.

• Korean Journal of Adult Nursing
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• v.13 no.1
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• pp.82-95
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• 2001

The purpose of this study was to examine the relationship among perceived health status, self-esteem, self-efficacy and health promoting behavior, and to determine the predictors of health promoting behavior in post-mastectomy patients. The study, a descriptive correlational study, was done with structural questionnaires. A total of 51 post-mastectomy subjects from C university hospital in Kwang-ju, South Korea completed mail-in self-reporting questionnaires during a three month period from March to June, 1999. The data were collected using Lawstone's(1982) perceived health status scale, Rosenberg's(1965) self-esteem scale, the modified self-efficacy scale(Shere et al, 1982), and the modified health promoting lifestyle profile (Walker et al, 1987). The data obtained were analyzed according to percentage, mean and standard deviation, principal component analysis, varimax rotation, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. The results were as follows: 1. The health promoting behavior measurement resulted in six factors. Each factor was labelled as follows: self-actualization, nutrition, stress management, exercise, health responsibility and interpersonal support. The total percent of variance explained by the six factors was 58.4%. 2. The mean score of health promoting behavior was 85.92(range 58~117). The scores of six factor were nutrition 3.20, self-actualization 2.59, stress management 2.58, interpersonal support 2.58, health responsibility 2.49, and exercise 2.34 on a four point scale. 3. When the score of health promoting behavior factors were compared by general characteristics. Factor I: self-actualization, differed significantly by the frequency of pregnancy (F=3.06, p=.037). Factor II: nutrition differed significantly by drinking experience(t=-2.26, p=.028) and the pre- or post stage of menopause(F=2.69, p=078). FactorIII: stress management differed significantly depending on regularity of mensturation(t=-2.12, p= .042). FactorIV: exercise differed significantly by type of religion (F=2.49, p=.072), marital status(F=5.03, p=.010), and feeding type (F=2.64, p=.036). Factor V: health responsibility differed significantly by regularity of mensturation(t=2.18, p=.037). 4. The total health promoting behavior score was significantly related to self-esteem and perceived health status(r=.610, p.006; r= .378, p=.006). The score of selfactualization also corresponded with selfesteem and perceived health status(r=.556, p=.001; r=.343, p=.013). 5. The predictor to explain the score of health promoting behavior was self-esteem, which accounted for 37.1% of the total variance. The predictor to explain the score of self-actualization was self-esteem, which accounted for 30.9% of the total variance. The score of nutrition was primarily affected by both premenopause and drinking experience, which accounted for 13.1% and 9.5% respectively. Finally, the score of exercise was dictated by marriage, Buddhism, no experience of breast feeding, which accounted for 17%, 9.8%, & 5.2% respectively. In conclusion, self-esteem is the main predictor for health promoting behavior in post-mastectomy women. These findings suggest a need for nursing strategies which promote self-esteem in such patients.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.115-126
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• 2013

The purpose of this study is to understand the utility of election campaign advertising by applying Q methodology that draw upon schematic model in subjectivity study. A survey was carried out among college students to classify the 16 selected Q-statements into a normal distribution using a 7 point scale. The collected data was analyzed using QUANL program, and principal component analysis using varimax rotation was used to identify the types of perceived utility of election campaign advertising. Type I can be categorized by a strong concern for the advertising technique improvement, Type II can be categorized by advocating for interest induction and Type III can be categorized by the truth inducement. The use of Q methodology provides insights into audience perceptions on the utility of election campaign advertising that would not be available through traditional methodologies and offers a foundation for audience involvement to address and overcome concerns about the utility of advertising for election campaign.

• Investigative Magnetic Resonance Imaging
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• v.14 no.1
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• pp.10-20
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• 2010

Purpose : Recently, the Recon Challenge at the 2009 ISMRM workshop on Data Sampling and Image Reconstruction at Sedona, Arizona was held to evaluate feasibility of highly accelerated acquisition of time resolved contrast enhanced MR angiography. This paper provides the step-by-step description of the winning results of k-t FOCUSS in this competition. Materials and Methods : In previous works, we proved that k-t FOCUSS algorithm successfully solves the compressed sensing problem even for less sparse cardiac cine applications. Therefore, using k-t FOCUSS, very accurate time resolved contrast enhanced MR angiography can be reconstructed. Accelerated radial trajectory data were synthetized from X-ray cerebral angiography images and provided by the organizing committee, and radiologists double blindly evaluated each reconstruction result with respect to the ground-truth data. Results : The reconstructed results at various acceleration factors demonstrate that each components of compressed sensing, such as sparsifying transform and incoherent sampling patterns, etc can have profound effects on the final reconstruction results. Conclusion : From reconstructed results, we see that the compressed sensing dynamic MR imaging algorithm, k-t FOCUSS enables high resolution time resolved contrast enhanced MR angiography.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.527-536
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• 2017

With the recent development of smart grid industry, the necessity for efficient EMS(Energy Management System) has been increased. In particular, in order to reduce electric load and energy cost, sophisticated electric load forecasting and efficient smart grid operation strategy are required. In this paper, for more accurate electric load forecasting, we extend the data collected at demand time into high time resolution and construct an artificial neural network-based forecasting model appropriate for the high time resolution data. Furthermore, to improve the accuracy of electric load forecasting, time series data of sequence form are transformed into continuous data of two-dimensional space to solve that problem that machine learning methods cannot reflect the periodicity of time series data. In addition, to consider external factors such as temperature and humidity in accordance with the time resolution, we estimate their value at the time resolution using linear interpolation method. Finally, we apply the PCA(Principal Component Analysis) algorithm to the feature vector composed of external factors to remove data which have little correlation with the power data. Finally, we perform the evaluation of our model through 5-fold cross-validation. The results show that forecasting based on higher time resolution improve the accuracy and the best error rate of 3.71% was achieved at the 3-min resolution.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.1
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• pp.56-63
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• 2016

In this study, we introduce a design of Fuzzy RBFNNs-based digit recognition system using the incremental-PCA in order to recognize the handwritten digits. The Principal Component Analysis (PCA) is a widely-adopted dimensional reduction algorithm, but it needs high computing overhead for feature extraction in case of using high dimensional images or a large amount of training data. To alleviate such problem, the incremental-PCA is proposed for the computationally efficient processing as well as the incremental learning of high dimensional data in the feature extraction stage. The architecture of Fuzzy Radial Basis Function Neural Networks (RBFNN) consists of three functional modules such as condition, conclusion, and inference part. In the condition part, the input space is partitioned with the use of fuzzy clustering realized by means of the Fuzzy C-Means (FCM) algorithm. Also, it is used instead of gaussian function to consider the characteristic of input data. In the conclusion part, connection weights are used as the extended diverse types in polynomial expression such as constant, linear, quadratic and modified quadratic. Experimental results conducted on the benchmarking MNIST handwritten digit database demonstrate the effectiveness and efficiency of the proposed digit recognition system when compared with other studies.