• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.8
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• pp.450-456
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• 2003

This paper proposes a multiple time-series model with dummy variables for one-hour ahead load forecasting. We used 11 dummy variables that were classified by day characteristics such as day of the week, holiday, and special holiday. Also, model specification and selection of input variables including dummy variables were made by test statistics such as AIC(Akaike Information Criterion) and t-test statistics of each coefficient. OLS (Ordinary Least Squares) method was used for estimation and forecasting. We found out that model specifications for each hour are not identical usually at 30％ of optimal significance level, and dummy variables reduce the forecasting error if they are classified properly. The proposed model has much more accurate estimates in forecasting with less MAPE (Mean Absolute Percentage Error).

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.4
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• pp.18-30
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• 2010

As the automobile industry is developing, the number of deaths and injuries has increased. To reduce the damages from automobile accidents, the government of each country proposes experimental conditions for reproducing the accident and establishes the vehicle safety regulations. Automotive manufacturers are trying to make safer vehicles by satisfying the requirements. The Hybrid III crash test dummy is a standard Anthropomorphic Test Device (ATD) used for measuring the occupant's injuries in a frontal impact test. Since a real crash test using a vehicle is fairly expensive, a computer simulation using the Finite Element Method (F.E.M.) is widely used. Therefore, a detailed and robust F.E. dummy model is needed to acquire more accurate occupant injury data and behavior during the crash test. To achieve this goal, a detailed F.E. model of the Hybrid III 5th percentile female dummy is constructed by using the reverse engineering technique in this research. A modeling process is proposed to construct the F.E. model. The proposed modeling process starts from disassembling the physical dummy. Computer Aided Design (CAD) geometry data is constructed by three-dimensional (3-D) scanning of the disassembled physical dummy model. Based on the geometry data, finite elements of each part are generated. After mesh generation, each part is assembled with other parts using the joints and rigid connection elements. The developed F.E. model of dummy is simulated based on the FMVSS 572 validation regulations. The results of simulation are compared with the results of physical tests.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.593-601
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• 2013

We often need to include categorial variables as explanatory variables in regression models. The categorial variables in regression models can be quantified through dummy variables. In this study, we provide an education tool using Excel VBA for displaying regression lines along with test results for regression models with a continuous explanatory variable and one or two categorical explanatory variables. The regression lines with test results are provided step by step for the model(s) with interaction(s), the model(s) without interaction(s) but with dummy variables, and the model without dummy variable(s). With this tool, we can easily understand the meaning of dummy variables and interaction effect through graphics and further decide which model is more suited to the data on hand.

• Korean Journal of Human Ecology
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• v.15 no.4
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• pp.623-630
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• 2006

The purpose of this study is to do research hairdressers' knowledge of hairless head dummy's brand name, and to suggest and develop various hairless head dummy for the students who are learning hair styling in the colleges and the academies, for the hairdressers working in the beauty salons. Using only one and same kind of hairless head model is not appropriate for hairdressers and students being trained hair styling skill, because people have a variety of head shapes. Three hundred twenty nine persons who live in Iksan area are selected as subjects. The results of the study are as follow: by the analysis of subjects' knowledge of hairless head dummy's brand name, most of them didn't know it exactly. This study deduced that there is a significant relation between the utility of hairless head dummy and subjects' intention of purchasing the dummy. To put it in detail, in case of college students, there is little significant difference between them. But in case of academy students, there is. By the regression analysis, especially, in case of hairdressers working in beauty salons and academy students, four conditions did significantly matter in their purchasing the dummy: first, whether the respondents owns it, second, whether it is helpful to themselves, third, whether they have ever used foreign products and, finally, whether they have intention to purchase various hairless head dummys or not. In conclusion, it depended on each group position whether their knowledge of brand names of hairless head model affects their purchase of the dummy or not.

• Journal of Korean Society of Forest Science
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• v.97 no.2
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• pp.140-143
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• 2008

This study compared the plywood demand prediction accuracy of econometric and vector autoregressive models using Korean data. The econometric model of plywood demand was specified with three explanatory variables; own price, construction permit area, dummy. The vector autoregressive model was specified with lagged endogenous variable, own price, construction permit area and dummy. The dummy variable reflected the abrupt decrease in plywood consumption in the late 1990's. The prediction accuracy was estimated on the basis of Residual Mean Squared Error, Mean Absolute Percentage Error and Theil's Inequality Coefficient. The results showed that the plywood demand prediction can be performed more accurately by econometric model than by vector autoregressive model.

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.6
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• pp.205-212
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• 2003

This paper may provide a basic design data for the safer car seat mechanism and the quality of the material used by finding out the passenger's dynamic behavior when protected by seat belt during collision. A computer simulation with finite element method is used to accomplish this objective. At first, a detailed geometric model of the seat is constructed using CAD program. The formation of a finite element from a geometric data of the seat is carried out using Hyper-Mesh that is the commercial software for mesh generation and post processing. In addition to seat modeling, the finite element model of seat belt and dummy is formed using the same software. Rear impact analysis is accomplished using Pam-Crash with crash pulse. The part of the recliner and right frame is under big stress in rear crash analysis because the acceleration force is exerted on the back of the seat by dummy. The stress condition of the part of the bracket is checked as well because it is considered as an important variable on the seat design. Front impact model which including dummy and seal belt is analyzed. A Part of anchor buckle of seat frame has high stress distribution because of retraction force due to forward motion of dummy at the moment of collision. On the basis of the analysis result, remodeling and reanalysis works had been repeatedly done until a satisfactory result is obtained.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.25 no.3
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• pp.176-183
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• 2015

This research proposes a method to estimate the fatigue life of SSD(solid-state drive) due to the effect of dummy solder ball under forced vibration. A finite element model of the SSD was developed to simulate the forced vibration and a modal testing was performed to verify the developed finite element model. Fatigue life of the SSD under vibration was experimentally determined according to JEDEC standard in which the SSD was excited by a sinusoidal sweep vibration within the narrow frequency band around the first natural frequency until the SSD fails. Basquin's equation was introduced to estimate the fatigue life of the SSD due to the effect of dummy solder balls. It shows that the dummy solder balls are effective elements of the SSD to increase the fatigue life of an SSD by increasing 700 times of the fatigue life of the given SSD.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.485-488
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• 2007

최근 Analog Sampled-Data 신호처리를 위하여 주목되고 있는 SI(Switched-Current) circuit은 저전력 동작을 하는 장점이 있지만, 반면에 SI circuit에서의 기본 회로인 Current Memory는 Charge Injection에 의한 Clock Feedthrough이라는 치명적인 단점을 갖고 있다. 따라서 본 논문에서는 Current Memory의 문제점인 Clock Feedthrough의 일반적인 해결방안으로 Dummy Switch의 연결을 검토하였고, Austria Mikro Systeme(AMS)에서 $0.35{\mu}m$ CMOS process BSIM3 Model로 제작하기 위하여 Current Memory의 Switch MOS와 Dummy Switch MOS의 적절한 Width을 정의하여야 하므로, 그 값을 도출하였다. Simulation 결과, Switch의 Width는 $2{\mu}m$, Dummy Switch의 Width는 $2.35{\mu}m$로 정의될 수 있음을 확인하였다.

• Proceedings of the KIEE Conference
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• 1991.07a
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• pp.406-410
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• 1991

This paper presents an improved algorithm of optimal measurement system design with a reliability evaluation method for large power system. The proposed algorithm is developed to consider the dummy bus and to achieve highest accuracy of the state estimator as well with the limited Investment cost. The dummy bus in the power system is impossible to install measurement meter, while real and reactive power measurement values are exactly zero. Thus, the effect on these dummy bus measurements is considered in the proposed algorithm. On the other hand, P/C model is developed by taking advantage of the matrix sparsity. The improved program is successfully tested for KEPCO system with PSS/E lineflow calculated data package.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.2
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• pp.107-117
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• 1992

This paper presents an improved algorithm of optimal measurement design with a reliability evaluation method for a large power system. The proposed algorithm is developed to consider the dummy bus and to achieve highest accuracy of the state estimator as well with the limited investment cost. The dummy bus in the power system is impossible to install measurement meter, while real and reactive power measurements is considered in the proposed algorithm. On the other hand, P/C model is developed by taking advantage of the matrix sparsity. The improved program is successfully tested for KEPCO system with PSS/E lineflow calculated data package.