• 전자공학회논문지SC
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• 제39권2호
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• pp.176-181
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• 2002

이 논문에서는 PDA(Probabilistic Data Association) 필터를 이용한 표적 추적에서 평균자승추정오차의 기대값을 최소화하는 표적 검출 문턱값의 최적제어 방법을 제시하고, 닫힌 형태의 준최적해를 구한다. 최적의 검출 문턱값을 구하기 위한 이전의 연구에서는 그래프를 이용한 부정확한 최적화 방법이나, 매우 시간이 많이 소요하는 수치해석적 최적화 알고리듬을 사용하였다. 하지만, 이 논문에서는 정보감소인자의 수치적 근사화식을 이용하여, 최적제어문제로 정식화하여 닫힌 형태의 준최적 검출 문턱값을 구하였다. 이 결과는 실시간 표적 추적에서 유용하게 사용될 수 있다.

• 전기학회논문지
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• 제63권8호
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• pp.1140-1145
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• 2014

Tunnel lighting is composed of entrance zone, interior zone and exit zone by KS C 3703. We have to consider adaptation at entrance zone and exit zone lighting to prevent deteriorate visibility like black hole and white hole phenomenon. So External luminance, vehicle velocity and traffic volume should be considered in threshold zone lighting and vehicle speed and traffic volume should be considered in interior zone lighting. But existing tunnel lighting system is not good at visibility and economic because that is only controled by external luminance. So in this paper, We improve visibility and economic of tunnel lighting system using fuzzy reasoning according to external luminance, vehicle velocity, traffic volume.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권4호
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• pp.258-264
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• 2004

This paper propose a method that GOP structure based on the picture complexity change realtime adaptive without pre-analysis or time delay. Proposed algorithm calculates the complexity of pictures at first, and the ratio of the complexity( X$\sub$p/ /X$\sub$i/) between P picture and I picture is calculated. The suitable M value for the three picture select by comparing with predetermined threshold. Used bit and vbv_delay the value of GOP is calculated according to selected M. Experimental results show that the prediction error is reduce than the fixed GOP structure. Since the complexity distribution of the sequence is different, applied limits of threshold value is changed, also.

• 제어로봇시스템학회논문지
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• 제18권6호
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• pp.540-545
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• 2012

In this paper, we propose a fault diagnosis method using artificial neural network and SVM (Support Vector Machine) to detect and isolate faults in the nonlinear systems. The proposed algorithm consists of two main parts: fault detection through threshold testing using a artificial neural network and fault isolation by SVM fault classifier. In the proposed method a fault is detected when the errors between the actual system output and the artificial neural network nominal system output cross a predetermined threshold. Once a fault in the nonlinear system is detected the SVM fault classifier isolates the fault. The computer simulation results demonstrate the effectiveness of the proposed SVM and artificial neural network based fault diagnosis method.

• 제어로봇시스템학회논문지
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• 제3권4호
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• pp.406-414
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• 1997

A real-time inspection system is developed using line scan cameras. Several improved algorithms are proposed for real-time detection of defects in this automated inspection system. The major improved algorithms include the preprocessing, the threshold decision, and the clustering algorithms. The preprocessing algorithms are for exact binarization and the threshold decision algorithm is for fast detection of defects in 1-D binary images. The clustering algorithm is also developed for fast classifying of the defects. The system is applied to PCBs(Printed Circuit Boards) inspection. The typical defects in PCBs are pits, dent, wrinkle, scratch, and black spots. The results show that most defects are detected and classified successfully.

• Journal of Acupuncture Research
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• 제19권2호
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• pp.105-113
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• 2002

Objective : The purpose of this study is to investigate the protective effect of DADS on the noise induced hearing loss Methods : Twenty healthy guinea pigs (DADS pretreated group and control) were exposed to 100dB a collected environmental noise for 9 hours. An auditory evoked brainstem response (ABR) threshold was measured before and after a noise exposure. For morphological study, cochlea was studied by scanning electron microscope (SEM). Results : The DADS pretreated group showed statistically significant less changes in ABR threshold and SEM findings compared the control group. Conclusion : From these results suggest that the DADS from garlic may have a protective effect in noise induced hearing loss.

• 제어로봇시스템학회논문지
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• 제7권4호
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• pp.304-308
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• 2001

The increase of video data makes the demand of efficient retrieval, storing, and browsing technologies necessary. In this paper, a video segmentation method (scene change detection method, or shot boundary detection method) for the development of such systems is proposed. For abrupt cut detection, inter-frame similarities are computed using luminance and edge histograms and a cut is declared when the similarities are under th predetermined threshold values. A gradual scene change detection is based on the similarities between the current frame and the previous shot boundary frame. A correlation method is used to obtain universal threshold values, which are applied to various video data. Experimental results show that propose method provides 90% precision and 98% recall rates for abrupt cut, and 59% precision and 79% recall rates for gradual change.

• ETRI Journal
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• 제29권1호
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• pp.113-115
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• 2007

A dynamic tri-threshold call admission control scheme has been developed. This scheme supports voice, data, and multimedia services and it complies with the universal mobile telecommunications system. The performance of the proposed scheme is evaluated under varying handover rates. The QoS performance-including channel utilization, call dropping probability, and blocking probability-is investigated. The performance of the developed scheme is found to be encouraging.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 추계학술대회
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• pp.514-516
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• 2018

이 논문은 모놀리식 3차원 공정 시 열에 의해 생성될 수 있는 계면 포획 전하가 3차원 인버터의 특성에 미치는 영향에 대하여 TCAD 시뮬레이션을 통해 확인하였다. 계면 포획 전하는 문턱 전압 및 ILD 두께에 따른 문턱 전압의 변화량에도 영향을 주었고 3차원 인버터의 입출력 특성에도 영향을 주는 것을 확인하였다.

• 제어로봇시스템학회논문지
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• 제18권3호
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• pp.208-217
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• 2012

This paper presents two adaptive fingerprint matching methods. First, we experiment an adaptive threshold selection of 1:N matching system in order to raise the reliability of the matching score. Second, we propose a adaptive threshold selection using fitting algorithm for high speed matching. The experiment was conducted on the NITZEN database, which has 5247 samples. Consequently, this paper shows that our suggested method can perform 1.88 times faster matching speed than the bidirectional matching speed. And, we prove that FRR of our suggested method decreases 1.43 % than that of the unidirectional matching.