• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.200-201
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• 2010

블록 기반의 적응적 루프 필터(BALF : Block Adaptive Loop Filter)는 압축 성능에 있어서 상당히 높은 효율을 보이는 기술 중 하나이다. BALF는 복원된 영상을 원본 영상에 최대한 유사하게 만드는 Weiner 필터계수와 해당 필터가 적용될 영역에 대한 정보를 복원된 영상에 적용함으로써 화질을 높일 수 있다. 그러나 BALF는 단위블록 전체에 대해 하나의 필터를 생성하여 적용하는 방법으로, 블록 내부에서 구분되는 신호적 특성을 따로 분류하지 않는다. 그러므로 BALF는 높은 부호화 성능을 보이는 반면, 높은 복호화 복잡도를 요구한다는 단점이 있다. 본 논문에서는 필터가 적용될 블록을 내부와 경계 영역으로 나누어 경계 영역을 위한 필터를 구분하여 생성하는 루프필터를 제안한다. 제안하는 알고리즘은 기존의 BALF에 비해 부호화 성능이 저하되지만, 필터를 적용할 영역을 선택 가능하게 함으로써 복호화 복잡도를 조절할 수 있도록 하였다. 제안한 방법의 실험결과, 기존의 방법인 BALF에 대하여 블록의 경계 영역 필터를 사용할 경우, 약 3.77%의 부호화 성능 저하에 대하여 약 33.76%의 필터링 속도 향상을 보였다.

• Journal of Broadcast Engineering
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• v.22 no.3
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• pp.313-320
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• 2017

The In-loop filtering methods such as de-blocking filter and SAO(Sample Adaptive Offset) applied to the HEVC standard achieves coding efficiency and subjective quality improvement by reducing the blocking artifacts and the ringing artifacts. However, despite the use of In-loop filtering methods, the artifacts called a corner outlier occurring at the corner points of block boundaries are not removed. In this paper, the corner outlier artifacts are reduced by the detection, determination, and filtering processes on the corner outlier pixels. Experimental results show that the proposed method improves the subjective picture quality and slightly increases the coding efficiency in Inter prediction.

• JSTS:Journal of Semiconductor Technology and Science
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• v.6 no.4
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• pp.227-233
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• 2006

In order to reduce blocking artifacts and improve compression efficiency, H.264/AVC standard employs an adaptive in-loop deblocking filter. This paper proposes a new hardware architecture of the deblocking filter that employs a four-stage pipelined structure with an efficient data distribution. The proposed architecture allows a simultaneous supply of eight data samples to fully utilize the pipelined filter in both horizontal and vertical filterings. This paper also presents a new filtering order and data reuse scheme between consecutive macroblock filterings to reduce the communication for external memory access. The number of required cycles for filtering one macroblock (MB) is 357 cycles when the proposed filter uses dual port SRAMs. This execution speed is only 41.3% of that of the fastest previous work.

• Economic and Environmental Geology
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• v.19 no.4
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• pp.293-296
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• 1986

A modified expression of mutual coupling ratio for a vertical coaxial loop system over a layered earth is derived by transforming the Bessel function of order 0 to that of order 1. This expression allows us to use a single $J_1$ filter instead of a combination of $J_0$ and $J_1$ filters, and produces a significant reduction of computer time and core storage. In this paper, the mutual coupling ratio for a three-layered earth is obtained by means of Anderson's adaptive filter (Anderson, 1979).

• Nuclear Engineering and Technology
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• v.54 no.6
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• pp.2011-2022
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• 2022

According to the defense-in-depth concept, not only a preventive strategy but also an integrated cyberattack response strategy for NPPs should be established. However, there are limitations in terms of responding to penetrations, and the existing EOPs are insufficient for responding to intentional disruptions. In this study, we focus on manipulative attacks on process data. Based on an analysis of the related attack vectors and possible attack scenarios, we adopt the Kalman filter to detect process anomalies that can be caused by manipulations of process data. To compensate for these manipulations and secure MCR operators' situational awareness, we modify the Kalman filter such that it can filter out the effects of the manipulations adaptively. A case study was conducted using a hardware-in-the-loop system. The results indicated that the developed method can be used to verify whether the displayed safety-related state data are reliable and to implement the required safety response actions.

• International Journal of Aeronautical and Space Sciences
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• v.18 no.3
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• pp.565-573
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• 2017

This paper presents a multistage in-flight alignment (MIFA) method for a strapdown inertial navigation system (SDINS) suitable for moving vehicles with no initial attitude references. A SDINS mounted on a moving vehicle frequently loses attitude information for many reasons, and it makes solving navigation equations impossible because the true motion is coupled with an undefined vehicle attitude. To determine the attitude in such a situation, MIFA consists of three stages: a coarse horizontal attitude, coarse heading, and fine attitude with adaptive Kalman navigation filter (AKNF) in order. In the coarse horizontal alignment, the pitch and roll are coarsely estimated from the second order damping loop with an input of acceleration differences between the SDINS and GPS. To enhance estimation accuracy, the acceleration is smoothed by a scalar filter to reflect the true dynamics of a vehicle, and the effects of the scalar filter gains are analyzed. Then the coarse heading is determined from the GPS tracking angle and yaw increment of the SDINS. The attitude from these two stages is fed back to the initial values of the AKNF. To reduce the estimated bias errors of inertial sensors, special emphasis is given to the timing synchronization effects for the measurement of AKNF. With various real flight tests using an UH60 helicopter, it is proved that MIFA provides a dramatic position error improvement compared to the conventional gyro compass alignment.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1413-1422
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• 2012

Adaptive back stepping control technique may provide robust control characteristics under parameter perturbation caused by changing external condition. In order to synthesize a high-precision velocity controller for IPMSM(Interior Permanent Magnet Synchronous Motor) using this method, the period of control loop should be very small. However, because of the resolution of the encoder for speed measurement, control cycle is limited, which makes it difficult to improve the performance of the controller. This paper proposes a velocity controller design method based on nonlinear adaptive back-stepping method to accomplish fast and accurate performance. Here, an EKF(Extended Kalman Filter) method is incorporated for the estimation of the motor speed into the design of a speed controller using adapted back-stepping control technique. The performance of the proposed controller is demonstrated through simulation using PSIM.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1643-1647
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• 2003

This paper, we propose a new high noise immunity phase-locked loop(PLL) which can suppress the high incident noise coupling with large amplitude and long period to the input frequency of PLL and keeps constant frequency and phase of the VCO output for providing the high stability distribution clock pulse.

• Journal of Multimedia Information System
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• v.5 no.2
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• pp.139-142
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• 2018

This work presents a novel architecture of phase locked loop (PLL) with the current compensating scheme to improve phase noise characteristic. The proposed PLL has two charge pumps (CP), main-CP (MCP) and sub-CP (SCP). The smaller SCP current with same time duration but opposite direction of UP/DN MCP current is injected to the loop filter (LF). It suppresses the voltage fluctuation of LF. The PLL has a novel voltage controlled oscillator (VCO) consisting of a voltage controlled resistor (VCR) and the three-stage ring oscillator with latch type delay cells. The VCR linearly converts voltage into current, and the latch type delay cell has short active on-time of transistors. As a result, it improves phase noise characteristic. The proposed PLL has been fabricated with $0.35{\mu}m$ 3.3 V CMOS process. Measured phase noise at 1 MHz offset is -103 dBc/Hz resulting in 3 dBc/Hz phase noise improvement compared to the conventional PLL.

• Journal of Power Electronics
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• v.11 no.5
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• pp.751-758
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• 2011

This paper presents an effective robust predictive control scheme for the active power filter (APF) using a smith-predictor based current regulator, which show superior features when compared to proportional-integral (PI) controllers in terms of an enhanced closed-loop bandwidth and an improved current tracking accuracy. A moving average filter (MAF) is implemented using a field programmable gate array (FPGA) for signal pre-processing to eliminate the switching ripple contamination. An adaptive linear neural network (ADALINE) is used for individual harmonic estimation to achieve selective compensation purpose. The effectiveness and validity of the devised control algorithm are confirmed by extensive simulation and experimental results.