• Proceedings of the Materials Research Society of Korea Conference
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• 2012.05a
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• pp.107.2-107.2
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• 2012

We used the electrophoretic deposition (EPD) process to fabricate a glass composite and investigated the EPD parameters to find the optimum deposition time by understanding the relationship among the process parameters of zeta potential (ZP), pH, deposition yield and saturation point. A binder and a dispersing agent were mixed properly with glass frit ($0.2{\sim}25{\mu}m$, d50=$8.77{\mu}m$) in an ethyl alcohol medium for the preparation of the slurry. The pH and ZP were in an inverse relationship to each other due to the generation of $H_3O^+$ ions with the addition of the dispersing agent in the slurry. The acidic nature of the dispersing agent was resulted in a decrease of the pH and an increase of the ZP. Otherwise, the pH increased with the addition of the glass frit in the slurry because $H_3O^+$ ions were absorbed on the glass frit. Therefore, the $OH^-$ ions correspondingly increased. The saturation point of EPD was strongly correlated with the variation of the pH in the slurry; this is caused by a chemical reaction between the ethyl alcohol and the ions that make up the glass frit. An adjustment of the pH variation and the saturation point in the slurry can be established with respect to the optimum deposition time in the slurry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.544-552
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• 2016

In this study, the self-esteem by grasping the adaptation state of the stress and school multi-cultural youth, social support, and analyzed the changes that appear in response to them coping with stress. By utilizing the structural equations for that, this study analyzed the relationship between the adaptation to stress and school multi-cultural youth, in terms of coping with stress, social support, and examined the effect of adjusting the self-esteem of the parameters. The results of this study were as follows. Stress multi-cultural youth, social support and self-esteem are affected. On the other hand, a significant effect on coping with stress was not detected. Subsequently, to cope with the stress analyzed, social support, self-esteem effects of the defined parameters revealed a relationship between the adaptation to all stresses and school life.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.429-433
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• 2004

In games and films, the most highlighted fields in entertainment industry, those special effects such as flame, explosion, smoke, liquid, snow, rain and dust are generated through the particle system. Special effects can be expressed realistically by the particle system API that is a graphic library of high level in game and virtual reality. When developers apply the particle system API in applications, they must exchange parameters repeatedly and compile source codes until special efforts that they want are expressed, and It takes much time until the minute control that have relations between each parameters. This paper develops a particle system API usable in on-line game and real-time virtual reality and presents particle system editor that can see and create special effect easily through attributes adjustment such as position, velocity, color, transparency, size, age, the secondary position, the second velocity etc.

• Journal of Nutrition and Health
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• v.46 no.2
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• pp.147-155
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• 2013

Higher bone mineral density (BMD) at a young age, calcium intake, and exercise are important for prevention of osteoporosis later in life. We examined familial effects of BMD between mothers and children and adolescents aged 8-19 in Cheonan, Korea and the relationships between BMD and lifestyle parameters, including: food and nutrient intake and exercise. For daughters and sons, significant differences in BMD were observed at the three bone sites (total femur, femur neck, and lumbar spine) according to age, gender, body mass index, exercise, and milk consumption, compared to the reference value for each classification category. Mean differences in children's BMD were observed according to maternal BMD. Energy and calcium intake were lower in both children and mothers in comparison to the estimated daily energy requirement; however, their protein intake was much greater than the daily recommended intake. After adjusting for age and gender and for mother's age, body mass index, and total calorie intake, results of the food frequency test showed an association of a higher intake of meat, meat products, milk and milk products with greater BMD of total femur, femur neck, and lumbar spine of children. In addition, exercise was positively associated with higher BMD. Regression analysis showed a positive association of BMD with age, male gender, exercise, and mother's BMD. In conclusion, after adjustment for environmental parameters, maternal BMD had a positive influence on BMD in daughters and sons. This finding suggests that parents need to check their BMD in order to determine whether their children are at increased risk of low BMD.

• Clinical Nutrition Research
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• v.6 no.3
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• pp.172-182
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• 2017

We investigated the association between dietary habits/food group consumption patterns and early risk of metabolic syndrome (MetS), a main cause for metabolic disease. Study participants were recruited from the health promotion center in Dong-A University Hospital and public advertisement. Study subjects (n = 243, 21-80 years) were categorized into three groups: Super-healthy (MetS risk factor [MetS RF] = 0, n = 111), MetS-risk carriers (MetS RF = 1-2, n = 96), and MetS (MetS $RF{\geq}3$, n = 27). Higher regularity in dietary habits (breakfast-everyday, regular eating time, non-frequent overeating, and non-frequent eating-out) was observed in the Super-healthy group than in the MetS-risk carriers, and particularly in the MetS subjects. The relationship between food group consumption patterns and MetS-risk related parameters were investigated with adjustment for confounding factors. Fruit consumption was positively associated with HDL-cholesterol, and tended to be negatively associated with waist circumference, triglyceride, LDL-cholesterol, and insulin resistance (IR). The consumption of low-fat meats and fish, and vegetables was negatively associated with hs-CRP. Specifically, the consumption of seafoods belonging to the low-fat fish was negatively associated with fasting glucose, hs-CRP, and interleukin (IL)-6. Anchovy/dried white baits consumption was negatively associated with fasting insulin and IR. Green-yellow vegetables consumption was negatively associated with fasting insulin, IR, and hs-CRP. On the other hand, sugars and fast-foods were positively associated with LDL-cholesterol. Additionally, fast-foods consumption was positively associated with hs-CRP and IL-6 levels. In conclusion, dietary habits/food group consumption patterns are closely associated with MetS-risk related parameters in Koreans. It may suggest useful information to educate people to properly select healthy foods for early prevention of MetS.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.314-321
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• 2019

The Self-Adaptive Vision Correction Algorithm (SAVCA) developed in this study was suggested for improving usability by modifying four parameters (Modulation Transfer Function Rate, Astigmatic Rate, Astigmatic Factor and Compression Factor) except for Division Rate 1 and Division Rate 2 among six parameters in Vision Correction Algorithm (VCA). For verification, SAVCA was applied to two-dimensional mathematical benchmark functions (Six hump camel back / Easton and fenton) and 30-dimensional mathematical benchmark functions (Schwefel / Hyper sphere). It showed superior performance to other algorithms (Harmony Search, Water Cycle Algorithm, VCA, Genetic Algorithms with Floating-point representation, Shuffled Complex Evolution algorithm and Modified Shuffled Complex Evolution). Finally, SAVCA showed the best results in the engineering problem (speed reducer design). SAVCA, which has not been subjected to complicated parameter adjustment procedures, will be applicable in various fields.

• Industry Promotion Research
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• v.6 no.1
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• pp.1-7
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• 2021

We investigated multi-layer perceptrons and supervised learning algorithms, and also examined how to model functional relationships between covariates and response variables using a package called neuralnet. The algorithm applied in this paper is characterized by continuous adjustment of the weights, which are parameters to minimize the error function based on the comparison between the actual and predicted values of the response variable. In the neuralnet package, the activation and error functions can be appropriately selected according to the given situation, and the remaining parameters can be set as default values. As a result of using the neuralnet package for the infertility data, we found that age has little influence on infertility among the four independent variables. In addition, the weight of the neural network takes various values from -751.6 to 7.25, and the intercepts of the first hidden layer are -92.6 and 7.25, and the weights for the covariates age, parity, induced, and spontaneous to the first hidden neuron are identified as 3.17, -5.20, -36.82, and -751.6.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.2
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• pp.89-94
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• 2005

In this paper, we propose a fuzzy PID controller of new method. There are two problems in absolute digital PID controller. First, much calculation time need for obtain the sum of data at each period. Second, this is problem need much memory because to storage every data at the before period. We use the speed type PID digital controller to improvement such problems. In the propose controller doesn't use without adjustment the crisp output error and we doesn't use nile tables in the fuzzy inference process at the forward stage fuzzifier. We inference output member ship function by using the relation and range of two variable of PID gain parameters. We can obtained desired results through the simulation and a experiment of the hydraulic servo motor control system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.5 no.4
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• pp.23-30
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• 1985

Dynamic pile-driving formulas are widely used in predicting the load capacity of piles in cohesionless soils. However, the accuracy of the formulas has been questioned for a long time due to their oversimplified assumptions and empirical parameters involved in the formulas. The allowable pile capacities calculated by 6 different dynamic pile-driving formulas are compared statistically with the capacities measured in the field, in this paper, to find out the correlations between the calculated capacities and the measured values. The statistical data are then used to evaluate and to adjust the formulas to improve their accuracy. For the greatest accuracy and simplicity of use, it is recommended that the adjusted form of Gates formula be used. When the result of this recommended formula is compared with that of the existing Olson's modified formula, the former is found to be conservative by more than 10 percents.

• ETRI Journal
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• v.25 no.2
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• pp.109-120
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• 2003

Though the airborne laser scanning (ALS) technique is becoming more popular in many applications, horizontal accuracy of points scanned by the ALS is not yet satisfactory when compared with the accuracy achieved for vertical positions. One of the major reasons is the drift that occurs in the inertial measurement unit (IMU) during the scanning. This paper presents an algorithm that adjusts for the error that is introduced mainly by the drift of the IMU that renders systematic differences between strips on the same area. For this, we set up an observation equation for strip-wise adjustments and completed it with tie point and control point coordinates derived from the scanned strips and information from aerial photos. To effectively capture the tie points, we developed a set of procedures that constructs a digital surface model (DSM) with breaklines and then performed feature-based matching on strips resulting in a set of reliable tie points. Solving the observation equations by the least squares method produced a set of affine transformation equations with 6 parameters that we used to transform the strips for adjusting the horizontal error. Experimental results after evaluation of the accuracy showed a root mean squared error (RMSE) of the adjusted strip points of 0.27 m, which is significant considering the RMSE before adjustment was 0.77 m.