• Journal of Korean Medical Ki-Gong Academy
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• v.11 no.1
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• pp.1-58
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• 2009

1. The rapid increasing elderly population represents a significant increase in the population with dementia. So, studies on the method for the prevention of dementia are necessary. 2. In oriental medicine, the causes of dementia are based on the deficiency of Jeong(精;essence of the body), the lack of bone marrow, and abnormal brain function. Emotional stress, bad habits of lifestyle including eating habits are also responsible for dementia. They causes dementia by blocking the circulation of Gi(氣) such as Suseunghwagang(水升火降;ascending kidney water and descending heart fire) and suppressing the function of Danjeon(丹田; the hypogastric center). 3. Gochi(叩齒) is a sort of mastication that facilitate salivation and secretion of parotin, next step is swallowing saliva. These supplement Jeong(精) of the five viscera and the six entrails(五臟六腑), promote Suseunghwagang(水升火降), and advance the function of the hypogastric center (丹田) and activate the brain. 4. So this paper draw a conclusion that Gochi(叩齒) is negatively related to the causes of dementia and it will be useful in preventing dementia.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.105-113
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• 2007

In this paper, we propose the matching pursuit with damping factors, a new sinusoidal model improving the matching pursuit, for the codecs based on sinusoidal model. The proposed model defines damping factors by using a correlativity of parameters between the current and adjacent frame, and estimates sinusoidal parameters more accurately in analysis frame by using the matching pursuit according to damping factor, and synthesizes the final signal. Then it is possible to model efficiently without interpolation schemes. The proposed sinusoidal model shows a better speech quality without an additional delay than the conventional sinusoidal model with interpolation methods. Through the SNR(signal to noise ratio), the MOS(Mean Opinion Score), LR(Itakura-Saito likelihood ratio), and CD(cepstral distance), we compare the performance of our model with that of matching pursuit using interpolation methods.

• Journal of the Korean Society of Costume
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• v.63 no.4
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• pp.70-83
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• 2013

Lately, cities have been trying to build a certain brand by using its identity and culture in public designs. Cities are using its public design to show its cultural identity and to differentiate itself from other cities so it is playing a significant role in establishing a city's overall image. Public uniform is used to reflect the symbolism and identity of the city, an image of the city's culture and is used as a means of communication for specialization. Thus, the purpose of this study is to develop public uniform designs to build and strengthen the brand of Gwangju as Asia cultural hub city. Research presents a review of the literature including concept and type of a cultural city, correlativity between public design and urban competitiveness, domestic and foreign culture city branding case: focusing on Gwangju which is a cultural hub city in Asia, and then study sets up the development direction and motifs of uniform designs, and uniforms are designed by making use of the textile with symbols and logos, colors, and architectural motifs of Asian Culture Complex. Development ranges of uniforms were limited to Cultural Tourism Narrators and the Asian Culture Complex Advertisements staff uniforms, within the region of cultural tourism. Textile design, illustration, uniform simulation using Adobe Photoshop 7.0 and Adobe Illustrator CS 3 program is presented.

• Explosives and Blasting
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• v.25 no.2
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• pp.1-10
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• 2007

In this paper, the 1/5 scale models of the reinforced concrete colunms were designed and fabricated. The influence of the number of blasting holes on the exposed length of steel bars and vertical load was investigated. The relation between the length of steel bar and the number of blasting holes was examined by performing the blast tests considering the vertical load on the scaled reinforced concrete columns. Weight of scaled column models by blasting and that of exposed was compared with the number of blasting holes. Finally, based on the exposed length of steel bars and vertical load, the number of blasting holes were calculated. Results shows that the number of blasting holes calculated in this study are suitable for scaled structure models test by blasting demolition.

• Journal of dental hygiene science
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• v.1 no.1
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• pp.60-66
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• 2001

In conclusion, so far, the researcher took into account the correlativity between Patient Hygiene Performance Index and Simplified Oral Hygiene Index in order to diagnose the oral environment of smoker group and nonsmoker group. From the above results, there showed some difference between each indexes, but hadn't significant difference statistically, which means that hadn't significant difference between two groups on account of selecting the groups(smoker group, nonsmoker group) having a similar ability with regard to Patient Hygiene Performance. With regard to the effect of smoking period, smoking quantity, smoking quantity per year on Patient Hygiene Performance and Simplified Oral Hygiene Index, the researcher knew that smoking has a marked effect on patient's oral environment management.

• Bulletin of the Korean Chemical Society
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• v.31 no.6
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• pp.1469-1473
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• 2010

Influences of alrylamino (R) substituents on the herbicidal activity ($pI_{50}$) of 1-(4-chloro-2-fluoro-5-propargyloxypheny)-3-(R)-thiourea analogues (1 ~ 35) against the barnyard grass (Echinochloa crusgalli) in the pre-emergence step were discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) as the three dimensional quantitative structure-activity relationship (3D-QSAR) method. The statistically most satisfactory CoMFA models for the herbicidal activity against the barnyard grass had the better predictability ($r^2{_{cv.}}$) and correlativity ($r^2{_{ncv.}}$) than those of CoMSIA models. The optimized CoMFA model 1($r^2{_{cv.}}$ = 0.531 & $r^2{_{ncv.}}$ = 0.931) with the sensitivity to the perturbation (${d_q}^{2'}{dr^2}_{yy'}$ = 1.081) and the prediction ($q^2$ = 0.475) produced by a progressive scrambling analyses were not dependent on chance correlation. And statistical qualities with the atom based fit alignment (AF) were slightly higher than those of the field fit alignment (FF). According to the optimized CoMFA model 1, the contribution ratio (%) of the steric field (76.9%) on the herbicidal activity of the Thioureas was three-fold higher than that of the electrostatic field (20.1%) and the hydrophobic field (3.0%) had the least influence. A steric favor group is on the vicinity of the nitrogen atom in alrylamino (R) substituent, and a steric disfavor group is on the outer side of alrylamino (R) substituent. Thus, as the size of alrylamino (R) substituent increases, so does the herbicidal activity of the substituent.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.54-61
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• 2019

Recently, IITS (intelligent integrated transportation system) has been important topic in Smart City related industry. As a main objective of IITS, prevention of traffic jam (due to car accidents) has been attempted with help of advanced sensor and communication technologies. Studies show that car accident has certain correlation with some factors including characteristics of location, weather, driver's behavior, and time of day. We concentrate our study on observing auto correlativity of car accidents in terms of time of day. In this paper, we performed the ARIMA tests including ADF (augmented Dickey-Fuller) to check the three factors determining auto-regressive, stationarity, and lag order. Summary on forecasting of hourly car crash counts is presented, we show that the traffic accident data obtained in Korea can be applied to ARIMA model and present a result that traffic accidents in Korea have property of being recurrent daily basis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2C
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• pp.81-88
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• 2006

This study performed field and laboratory tests for poor subsoils taken in six regions of the country and determined undrain shear strength. Su values and preconsolidation pressure are predicted using Back Propagation neural network (BPNN) and the application of BPNN is verified. The result of BPNN shows that correlation coefficient between test and neural network result is over 0.9, which means high correlativity. Especially the neural network uses only 6 parameters such as natural water content, void ratio, specific gravity, rate of passing 200th sieve, liquid limits and plasticity index among various affecting factors to estimate value and the correlation coefficent is 0.93. The conclusions obtained in this paper are from the tests performed for poor subsoils taken in the several regions of the country. If there were more test results, the prediction and influence of various soil properties could be effectively performed by neural network.

• Journal of Life Science
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• v.16 no.6
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• pp.984-988
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• 2006

Lipopolysaccharide(LPS) was posttreated after the 14 day-pretreatment of Ulva lactuca fractions(ULF), and their correlativity to enzymatic activity alteration was investigated in the liver of rats. ULF was intraperitoneally administered into rats at dose of $1m{\ell}/kg$ of 100 mg/kg concentration for 14 days. On the day 15, $1m{\ell}/kg$ of LPS was injected. The corelativity was examined by measuring the changed values of superoxide dismutase(SOD) in mitochondrial fraction and catalase(CAT), glutathione peroxidase(GPx) in liver homogenate. The results showed that LPS treatment decreased the high values of SOD, CAT, GPx to the low values, but ULF pretreatment increased the low values of SOD, CAT, GPx to the high values. It was suggested that ULF, LPS and antioxidative enzymes like SOD, CAT, GPx had the corelativity of the high-low-high pattern and that the ULF pretreatment played the proper preventive role in the protection against the LPS treatment-induced enzymatic inactivity in the water fraction.

• Journal of KIISE
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• v.44 no.2
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• pp.139-147
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• 2017

Most of the information prevailing in the Internet space consists of textual information. So one of the main topics regarding the huge document analyses that are required in the "big data" era is the development of an automated understanding system for textual data; accordingly, the automation of the keyword extraction for text summarization and abstraction is a typical research problem. But the simple listing of a few keywords is insufficient to reveal the complex semantic structures of the general texts. In this paper, a text-visualization method that constructs a graph by computing the related degrees from the selected keywords of the target text is developed; therefore, two construction models that provide the edge relation are proposed for the computing of the relation degree among keywords, as follows: influence-interval model and word- distance model. The finally visualized graph from the keyword-derived edge relation is more flexible and useful for the display of the meaning structure of the target text; furthermore, this abstract graph enables a fast and easy understanding of the target text. The authors' experiment showed that the proposed abstract-graph model is superior to the keyword list for the attainment of a semantic and comparitive understanding of text.