• Proceedings of the KIPE Conference
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• 2001.10a
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• pp.829-833
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• 2001

In a conventional speed sensorless stator flux­oriented (SFO) induction machine drive system, the estimated speed is delayed in transients by the use of a low pass filter. This paper investigates the problem of a conventional speed sensorless SFO system due to the delay of the estimated speed in the field weakening region. In addition, this paper proposes a method to estimate exactly speed by using Kalman filter. The proposed method is verified by simulation and experiment with a 5-hp induction motor drive.

• 한국정보통신설비학회:학술대회논문집
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• 2003.08a
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• pp.3-6
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• 2003

Effect to altered geometry of a suggested defected ground structure(DGS) unit cell was investigated . And equivalent circuit model was extracted from the DGS unit cell A microstrip band Pass filter with DGS has been designed in this Paper. The BPF with DGS was fabricated and obtained experimental results with network analyzer HP8510C. Experimental results show the center frequency of 2.45GHz, the insertion loss of 0.85dB, and the 3-dB bandwidth of 470MHz (19.5%). The center frequency of BPF is 2.4GHz which is available for wireless LAN.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2000.11a
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• pp.206-210
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• 2000

본 논문에서는 PLL 주파수 합성기를 이용한 900 MHz 대역의 무선 마이크용 송신기를 설계 및 제작하였다. 위상잡음을 고려한 주파수 합성기는 VCO, Loop Filter 및 RF 중폭부로 구성한 후 HP EEsof ADS ver. 1.3을 이용하여 설계하였다. VCO는 구조가 간단하며 변조가 용이한 직접변조방식을 사용하였으며 Loop Filter는 주파수 합성기의 기준 고조파 성분을 낮추기 위해 수동 3차 필터를 사용하였다. 주파수 대역 928.125 MHz～929.875 MHz 내에서 채널간격 125 kHz를 갖으며 15개의 채널이 되도록 분주비를 설정한 주파수 합성기는 제작 결과, 송신기 출력 9.3 dBm과 위상잡음이 100 kHz에서 -113 dBc/Hz 이하의 위상잡음 특성을 나타내었고 불요주파수 특성은 -80 dBc 이하의 특성을 나타내었다.

• Proceedings of the KIEE Conference
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• 2005.04a
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• pp.200-202
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• 2005

In this paper, improved rotor position estimation for position sensorless control system of the SRM (Switched Reluctance Motor) is presented. For more accurate rotor position estimation, the PLL (Phase Locked Loop) based position interpolation is adapted. In the current-flux-rotor position lookup table based rotor position estimation, the inherent current and flux-linkage ripple can cause the position estimation error. Instead of the conventional low-pass filter, the PLL based position interpolation technique is used for the better dynamic performance. The developed rotor position estimation scheme is realized using TMS320F2812 digital signal processor and prototype 1-hp SRM.

• Proceedings of the IEEK Conference
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• 2002.06a
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• pp.423-426
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• 2002

Undoped-GaN thin film is deposited on Sapphire substrate by MOCVD. SAW velocity is measured with tile center frequency by HP8753C. Center frequency is 266.52 MHz and SAW velocity is 5330㎧ when wavelength was 20 Um. insertion loss, Q factor and side love attenuation is 41.265 dB, 257.41 and over 23 dB. k'i is calculated from tile measured data. k2'is from 1 % to 4 %. TCF is -61.817pp/m/$^{\circ}C$.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.11 no.8
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• pp.1305-1312
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• 2000

This paper presents the design and implementation of the CPW end-coupled band-pass filter with the finitely backed conductor (FBC). To reduce the large insertion loss in CPW structure, the improvement in loss characteristic through the change of CPW structure is introduced. The CPW filters with narrow bandwidth are suggested and characterized for their microwave performance using the finitely backed conductor. This structure

• Proceedings of the KIPE Conference
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• 2002.11a
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• pp.3-6
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• 2002

In a conventional speed sensorless stator flux-oriented(SFO) induction motor drive system, when the estimated speed is transformed into the sample-data model using the first-forward difference approximation, the sampled data model has a modeling error which, in turn, produces an error in the rotor speed estimation. The error included in the estimated speed is removed by the use of a low pass filter (LPF). As the result, the delay of the estimated speed occurs in transients by the use of the LPF This paper investigates the problem of a conventional speed sensorless SFO system due to the delay of estimated speed in the filed weakening region. In addition, this paper proposes a method to estimate exactly speed by using Luenberger observer, The proposed method is verified by experiment with a 5-hp induction motor drive.

• The Transactions of the Korean Institute of Power Electronics
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• v.8 no.4
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• pp.351-358
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• 2003

This paper describes distribution characteristics of switching surge voltage in stator windings of induction motor driven by IGBT PWM inverter. To analyze the voltage distribution between the turns and coils of stator winding, equivalent circuit model of induction motor including cable was proposed and high frequency parameter is computed by using finite-element method (FEM). From the electro-magnetic transient program (EMTP) simulation of the whole system for induction motor, feeder cable, and PWM inverter, the variable effect on rising time of the inverter, cable length, and switching frequency on the voltage distribution is also presented. In order to experiment, an induction motor, 380[V], 50[HP], with taps from one phase are built to consider the voltage distribution so that these results can be helpful when filter was designed to remove high dv/dt.

• The Journal of Information Systems
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• v.30 no.2
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• pp.147-163
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• 2021

Purpose The study aims to predict real estate prices by utilizing regional characteristics. Since real estate has the characteristic of immobility, the characteristics of a region have a great influence on the price of real estate. In addition, real estate prices are closely related to economic development and are a major concern for policy makers and investors. Accurate house price forecasting is necessary to prepare for the impact of house price fluctuations. To improve the performance of our predictive models, we applied LSTM, a widely used deep learning technique for predicting time series data. Design/methodology/approach This study used time series data on real estate prices provided by the Ministry of Land, Infrastructure and Transport. For time series data preprocessing, HP filters were applied to decompose trends and SOM was used to cluster regions with similar price directions. To build a real estate price prediction model, SVR and LSTM were applied, and the prices of regions classified into similar clusters by SOM were used as input variables. Findings The clustering results showed that the region of the same cluster was geographically close, and it was possible to confirm the characteristics of being classified as the same cluster even if there was a price level and a similar industry group. As a result of predicting real estate prices in 1, 2, and 3 months, LSTM showed better predictive performance than SVR, and LSTM showed better predictive performance in long-term forecasting 3 months later than in 1-month short-term forecasting.

• Proceedings of the KSME Conference
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• 2002.08a
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• pp.201-204
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• 2002

This paper describes the hydrodynamic characteristics of a test-bed AUV SNUUV-I constructed at Seoul National University. The main purpose of the AUV is to carry out fundamental control and hydrodynamic experiments. Its configuration is basically a long cylinder of 1.35m in length and 0.25m in diameter with delta-type wings near its rear end. On the edge of each wing, a thruster of 1/4HP is mounted, which is used for both drive and turn the vehicle for horizontal movement as the output control power is varied. A pair of control surfaces installed near its font part generates pitch moments for vertical movement. The 6 DOF mathematical model of SNUUV-I contains hydrodynamic forces and moments expressed in terms of a set of hydrodynamic coefficients. These coefficients can be classified into linear damping coefficients, linear inertial coefficients and nonlinear damping coefficients. It is important to estimate the exact value of these coefficients to control the vehicle precisely. Among these, the linear coefficients are known to affect the motion of the vehicle dominantly. The linear damping coefficients are estimated by using Extended Kalman Filter. The responses of the vehicle to input signals are used to estimate the hydrodynamic coefficients, which can be inferred from output signals measured from an IMU (inertial motion unit) sensor, while the linear inertial coefficients are calculated by a potential code. By using these coefficients estimated as described above, a simulation program is constructed using Matlab.