• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1424-1427
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• 2002

This paper proposes a novel postprocessing algorithm for reducing the blocking artifacts in low bit rate block-based transform coded images, that use adaptive neural network filter (NNF) in wavelet transform domain. n this algorithm, after performing a 2-level wavelet transform of the decompressed image, the existence of locking artifacts is determined using statistical characteristic of neighborhood blocks. And then a different one-dimensional (1-D) or 2-D NNF is used to reduce the locking artifacts according to the classified regions. That is, for HL and LH subbands regions with the blocking artifacts, a different 1-D NNF is used. And 2-D NNF is used in HH subband. Experimental results show that the proposed algorithm produced better results than those of conventional algorithms both subjectively and objectively.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권10호
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• pp.690-696
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• 2004

This paper is proposed a hybrid intelligent controller based on the vector controlled surface permanent magnet synchronous motor(SPMSM) drive system. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of SPMSM using neural network-fuzzy(NNF) control and speed estimation using artificial neural network(ANN) Controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. The back propagation mechanism is easy to derive and the estimated speed tracks precisely the actual motor speed. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new method.

• 한국토양비료학회지
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• 제46권3호
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• pp.187-192
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• 2013

This study was carried out to investigate the incorporation effect of green manure crops (GMC) such as the hairy vetch on improvement of soil environment in reclaimed land during silage corn cultivation over the past two years. Plots consisted of conventional fertilization (CF) and incorporation of GMC were divided by addition rate of nitrogen fertilizer (100 kg $ha^{-1}$) with 30 - 100% of non nitrogen fertilization (NNF). Soil physico-chemical properties and growth and yield potential of silage corn were examined. The tested soils showed strong alkali and saline properties with low contents of organic matter and available phosphate while contents of exchangeable sodium and magnesium were high. Soil salinity increased during cultivation of summer crop. However, corn was not affected by salt content. The fresh weight of GMC at incorporation time was 18,345 kg $ha^{-1}$. Content of total nitrogen was 3.09% and the C/N ratio was 12.8 at incorporation time. Fresh and dry matter yield of silage corn were higher in the order of N30% reduction, CF, N50% reduction, N70% reduction, N100% reduction and NNF. Fresh and dry matter yield potential of silage corn for N30% reduction were comparable to those of CF. Bulk density of the soil decreased with incorporation of GMC, while porosity was increased. The soil pH decreased while content of exchangeable calcium, available phosphate, and organic matter increased. Also contents of exchangeable sodium and potassium decreased with incorporation of GMC. The data indicate that incorporation of hairy vetch can improve soil physical and chemical properties and reduce nitrogen fertilizer application especially for alkali saline reclaimed soil such as Saemangeum reclaimed land.

• 대한전자공학회논문지SP
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• 제38권5호
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• pp.583-597
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• 2001

Tracking the targets of interest has been one of the major research areas in radar surveillance system. We formulate the tracking problem as an incomplete data problem and apply the EM algorithm to obtain the MAP estimate. The resulting filter has a recursive structure analogous to the Kalman filter. The difference is that the measurement-update deals with multiple measurements and the parameter-update can estimate the system parameters. Through extensive experiments, it turns out that the proposed system is better than PDAF and NNF in tracking the targets. Also, the performance degrades gracefully as the disturbances become stronger.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.176-178
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• 2004

Precise control of interior permanent magnet synchronous motor(IPMSM) over wide speed range is an engineering challenge. This paper considers the design and implementation of novel technique of speed estimation and control for IPMSM using hybrid intelligent control. The hybrid combination of neural network and adaptive fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of IPMSM using adaptive neural network fuzzy(A-NNF) and estimation of speed using artificial neural network(ANN) controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권4호
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• pp.220-227
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• 2005

This paper presents hybrid artificial intelligent(HAI) controller based on the vector controlled IPMSM drive system. And it is based on artificial technologies that adaptive neural network fuzzy(A-NNF) is to speed control and artificial neural network(ANN) is to speed estimation. The salient feature of this technique is the HAI controller The hybrid action tolerates any inaccuracies in the fuzzy logic assignment rules or in the neural network stationary weights. Speed estimators using feedforward multilayer and artificial neural network(ANN) are compared. The back-propagation algorithm is easy to derived the estimated speed tracks precisely the actual motor speed. This paper presents the theoretical analysis as well as the simulation results to verify the effectiveness of the new hybrid intelligent control.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 B
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• pp.1245-1247
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• 2004

This paper considers the design and implementation of novel technique of speed estimation and control for IPMSM using hybrid intelligent control. The hybrid combination of neural network and adaptive fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of IPMSM using adaptive neural network fuzzy(A-NNF) and estimation of speed using artificial neural network(ANN) controller. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new hybrid intelligent control.

• International Journal of Control, Automation, and Systems
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• 제6권3호
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• pp.413-423
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• 2008

The template matching method is used as a simple method to track objects or patterns that we want to search for in the input image data from image sensors. It recognizes a segment with the highest correlation as a target. The concept of this method is similar to that of SNF (Strongest Neighbor Filter) that regards the measurement with the highest signal intensity as target-originated among other measurements. The SNF assumes that the strongest neighbor (SN) measurement in the validation gate originates from the target of interest and the SNF utilizes the SN in the update step of a standard Kalman filter (SKF). The SNF is widely used along with the nearest neighbor filter (NNF), due to computational simplicity in spite of its inconsistency of handling the SN as if it is the true target. Probabilistic Strongest Neighbor Filter for m validated measurements (PSNF-m) accounts for the probability that the SN in the validation gate originates from the target while the SNF assumes at any time that the SN measurement is target-originated. It is known that the PSNF-m is superior to the SNF in performance at a cost of increased computational load. In this paper, we suggest an image tracking algorithm that combines the template matching and the PSNF-m to estimate the states of a tracked target. Computer simulation results are included to demonstrate the performance of the proposed algorithm in comparison with other algorithms.

• 한국보육지원학회지
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• 제7권2호
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• pp.81-96
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• 2011

본 연구의 목적은 유아교육기관 교사의 다문화 교육실제 척도를 타당화 하는데 있다. 본 연구의 연구대상은 탐색적 요인분석을 위한 서울지역의 유아교육기관 20곳에서 표집된 교사 200명과 확인적 요인분석을 위한 서울, 경기 지역의 유아교육기관 40곳에서 표집된 교사 310명이었다. 탐색적 요인분석 결과 본 척도는 다양한 민족알기, 다문화 유아와 상호작용, 다양한 문화알기의 3개 하위요인으로 총 13문항으로 개발되었다. 유아교육기관 교사의 다문화교육 실제척도의 신뢰도(Cronbach's ${\alpha}$)는 .87으로 나타났으며 하위요인에 대한 신뢰도는'다양한 민족 알기' .82, '다문화 유아와의 상호작용' .82, '다양한 문화 알기' .74로 나타났다. 확인적 요인분석을 통해 유아교육기관 교사의 다문화 인식척도 모델의 적합도를 검증한 결과 RMSEA=.08, SRMR=.06, NNFI=.90, CFI=.92으로 나타나 유아교육기관 교사의 다문화 교육실제 척도가 적합한 도구임이 확인되었다.

• 한국토양비료학회지
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• 제45권5호
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• pp.744-748
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• 2012

본 연구는 새만금간척지에서 동계 녹비작물 헤어리베치를 재배하여 토양에 환원 후 관행시비 (NPK), 녹비혼입구는 질소 추비기준량 ($100kg\;ha^{-1}$) 대비 30 50 70 100% 감비, 질소무시비로 처리하여 사료용 수수$\times$수단그라스 (G7) 재배시 토양이화학성, 토양염농도, 생육 및 수량성을 검토한 결과는 다음과 같다. 공시토양은 유기물, 유효인산 함량이 매우 적고 치환성마그네슘 나트륨 함량이 많은 강알칼리성 염류토양 이었다. 헤어리베치 혼입시 생체중 $18,345kg\;ha^{-1}$, T-N 3.09% 및 탄질률 12.8를 나타냈다. 동계 하계작물 재배기간 동안 토양염농도는 0.1%이하로 염피해는 없었다. 수수${\times}$수단그라스 생초수량 및 건물수량은 N30%감비 > 관행시비 > N50%감비 > N70%감비 > N100%감비 > N무시비 순으로 높았다. 생초 및 건물수량성은 관행시비 ($55,050kg\;ha^{-1}$, $16,250kg\;ha^{-1}$) 대비 N30% 감비에서 7%, 9% 증수되었다. 시험 후 용적밀도가 낮아지고 공극률이 증대되었다. 또한 pH가 낮아졌고, 유기물, 유효인산 및 치환성칼슘 함량은 증가하였으며 치환성칼륨 나트륨 함량은 감소하였다. 따라서 새만금 간척지에서 수수${\times}$수단그라스 재배시 녹비직물헤어리베치 토양환원으로 질소비료 질감 및 토양환경 개선효과를 기대할 수 있었다.