• Composites Research
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• v.36 no.1
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• pp.53-58
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• 2023

The PIC design method is assigning different stacking sequences for each shell element through the preliminary FE analysis. In previous study, machine learning was applied to the PIC design method in order to assign the region efficiently, and the training data is labeled by dividing each region into tension, compression, and shear through the preliminary FE analysis results value. However, since buckling is not considered, when buckling occurs, it can't be divided into appropriate loading type. In the present study, it was proposed PIC-NTL (PIC design using novel technique for analyzing load type) which is method for applying a novel technique for analyzing load type considering buckling to the conventional PIC design. The stress triaxiality for each ply were analyzed for buckling analysis, and the representative loading type was designated through the determined loading type within decision area divided into two regions of the same size in the thickness direction of the elements. The input value of the training data and label consisted in coordination of element and representative loading type of each decision area, respectively. A machine learning model was trained through the training data, and the hyperparameters that affect the performance of the machine learning model were tuned to optimal values through Bayesian algorithm. Among the tuned machine learning models, the SVM model showed the highest performance. Most effective stacking sequence were mapped into PIC tube based on trained SVM model. FE analysis results show the design method proposed in this study has superior external loading resistance and energy absorption compared to previous study.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.42 no.2
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• pp.127-133
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• 2016

In this study, water-in-oil (W/O) nanoemulsions of water/Span 80-Nikkol BL 25/oil system were prepared by the PIC method at elevated temperature. This method allows the formation of finely dispersed W/O nanoemulsions with low viscosity in this system. However, macroemulsions rather than nanoemulsions were prepared by PIC method at room temperature. As a result of the significant change of interfacial tension with temperature, the emulsion droplet size decreases from $2{\mu}m$ to 100 nm with the increase in temperature from $30^{\circ}C$ to $80^{\circ}C$. The droplet size of nanoemulsions prepared at $80^{\circ}C$ was in the range of 50 ~ 200 nm and the internal phase content could reach as high as 15 wt%. The most stable nanoemulsion was formed in the vicinity of 7.0 of optimum HLB of the emulsifier mixture. The obtained nanoemulsions were stable without obvious change in droplet size in one month. This study provides valuable information for optimizing the formation of W/O nanoemulsions with low viscosity. These results suggest that W/O nanoemulsions of low viscosity could be useful for cosmetics with soft feeling.

• Proceedings of the KIEE Conference
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• 2001.10a
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• pp.145-149
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• 2001

This paper did so that may can establish optimum temperature according to kind of vaccine and digitalized various action situations using PIC 16C74A-04A/SP. Also, PID Algorithm Controller designed to maintain optimum temperature using PIC. Begin to operating system after temperature setting, reached in optimum storage temperature within 30 minutes.

• Proceedings of the KIEE Conference
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• 1997.11a
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• pp.149-151
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• 1997

This paper proposed a new method for the measurement of optical encoder. So far several methods were used for the encoder measurements, there were noise problems and needed many space to realize it. Specially, it is more serious under the multi-motor system. In this paper, we adapted the PIC microcontroller and replaced the TTL logics with the PIC software. Therefore, the effects of noise can be reduced, and we can realize the measuring method for the optical encoder under multi-motor system within one millisecond time base.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.459-462
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• 2002

This paper presents the development or a keypad test system for the improvement or the working environment and productivity improvement using the microprocessor PIC16F877 Chip. In order to detect the fault of keypad products, the design of hardware and software is performed in this system. All controls of the system is implemented by the 8 bit one chip micro-controller PIC. This keypad test system can also recognizes the work process, the work result and the fault position of the keypad which is made by the method of a flexible printed circuit (FPC) and construct the database about test results using personal computer. The experimental results show the effective performance of the keypad test system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.841-844
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• 2013

This paper suggests methods to drive motor and dsPIC30F2010 microprocessor software design for the Wheel Hub Motor that is incorporated into a hub of the wheel and drives it directly. The minimum function of dsPIC30F2010, system clock, PWM, I/O, communication, applicable to hub motor control are explained and tested. The algorithm including PI control method was implemented to the system by using dsPIC30F2010 microprocessor functions.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.1A
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• pp.37-52
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• 2004

In this paper, Multistage Adaptive Partial PIC eliminating effectively the multiple access and multipath interference for DS-CDMA based W-CDMA uplink system is designed and its performance is evaluated with computer simulation. By adaptively controlling the slope of the soft limiter with received signals, the efficiency of the soft limiter can be maximized and the better performance is obtained by solving error floor problem using further precise generation of interference signal. As a result, The proposed Multistage Adaptive Partial PIC with simple optimizing method for time-variant channel showed optimum performance at fewer stages. Besides fewer stages, the interference cancellation at the output of the rake receiver considerably reduced system complexity. The Multistage Adaptive Partial PIC with precise generation and efficient cancellation of interference signal can solve error eoor problem, resulted from initial false detection and improve system performance of high data rate system.

• Composites Research
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• v.35 no.5
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• pp.317-321
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• 2022

In this study, the PIC design method with machine learning that automatically assigning different stacking sequences according to loading types was applied bumper beam. The input value and labels of the training data for applying machine learning were defined as coordinates and loading types of reference elements that are part of the total elements, respectively. In order to compare the 2D and 3D implementation method, which are methods of representing coordinate value, training data were generated, and machine learning models were trained with each method. The 2D implementation method is divided FE model into each face and generating learning data and training machine learning models accordingly. The 3D implementation method is training one machine learning model by generating training data from the entire finite element model. The hyperparameter were tuned to optimal values through the Bayesian algorithm, and the k-NN classification method showed the highest prediction rate and AUC-ROC among the tuned models. The 3D implementation method revealed higher performance than the 2D implementation method. The loading type data predicted through the machine learning model were mapped to the finite element model and comparatively verified through FE analysis. It was found that 3D implementation PIC bumper beam was superior to 2D implementation and uni-stacking sequence composite bumper.

• Journal of the Korean Applied Science and Technology
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• v.31 no.2
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• pp.203-209
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• 2014

Candelilla wax-in-water nanoemulsions stabilized by Span 80/Tween 80 were prepared by the phase inversion composition (PIC) method. Stable nanoemulsions with droplet diameters below 50 nm could be formed when the hydrophilic-lipophilic balance (HLB) values were between 13.5 and 14.5, surfactant concentration was 5.0 wt%, and the surfactant-wax ratio was 1:1. Increased emulsification temperature and cooling rate were found to improve the emulsion properties. Process of PIC (adding aqueous phase to the wax phase) produced smaller droplet size nanoemulsion compared to the process of adding wax phase to the aqueous phase. The stability of these nanoemulsions was assessed by following the change in droplet diameters with time of storage at room temperature (${\sim}25^{\circ}C$). The size remained constant during 2 months storage time.

• Nuclear Engineering and Technology
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• v.52 no.3
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• pp.568-574
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• 2020

The feasibility of the particle-in-cell (PIC) method is assessed to simulate the non-collective phenomena like non-collective Thomson scattering (TS). The non-collective TS in the laser-plasma interaction, which is related to the single-particle behavior, is simulated through a 2D relativistic PIC code (XOOPIC). For this simulation, a non-collective TS is emitted from a 50-50 DT plasma with electron density and temperature of n_e = 3.00 × 10¹³ cm^-3 and T_e = 1000 eV, typical for the edge plasma at ITER measured by ETS system, respectively. The wavelength, intensity, and FWHM of the laser applied in the ETS system are λ_i,0 = 1.064 × 10^-4 cm, I_i = 2.24 × 10¹⁷ erg=s·㎠, and 12.00 ns, respectively. The electron density and temperature predicted by the PIC simulation, obtained from the TS scattered wave, are n_e,TS = 2.91 × 10¹³ cm^-3 and T_e,TS = 1089 eV, respectively, which are in accordance with the input values of the simulated plasma. The obtained results indicate that the ambiguities rising due to the contradiction between the PIC statistical collective mechanism caused by the super-particle concept and the non-collective nature of TS are resolved. The ability and validity to use PIC method to study the non-collective regimes are verified.