• International Journal of Automotive Technology
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• 제8권4호
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• pp.493-504
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• 2007

This paper proposes a stereo vision-based forward obstacle detection and distance measurement method. In general, stereo vision-based obstacle detection methods in automotive applications can be classified into two categories: IPM (Inverse Perspective Mapping)-based and disparity histogram-based. The existing disparity histogram-based method was developed for stop-and-go applications. The proposed method extends the scope of the disparity histogram-based method to highway applications by 1) replacing the fixed rectangular ROI (Region Of Interest) with the traveling lane-based ROI, and 2) replacing the peak detection with a constant threshold with peak detection using the threshold-line and peakness evaluation. In order to increase the true positive rate while decreasing the false positive rate, multiple candidate peaks were generated and then verified by the edge feature correlation method. By testing the proposed method with images captured on the highway, it was shown that the proposed method was able to overcome problems in previous implementations while being applied successfully to highway collision warning/avoidance conditions, In addition, comparisons with laser radar showed that vision sensors with a wider FOV (Field Of View) provided faster responses to cutting-in vehicles. Finally, we integrated the proposed method into a longitudinal collision avoidance system. Experimental results showed that activated braking by risk assessment using the state of the ego-vehicle and measuring the distance to upcoming obstacles could successfully prevent collisions.

• Journal of Biosystems Engineering
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• 제14권2호
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• pp.128-136
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• 1989

The purpose of this study was to develop a computer operated automatic drip irrigation system for application in vinyl-house cultivation. The results can be summarized as follows: 1) The T-type ice compensation wire was used to measure the temperature. The voltage level measured up to 0.02 volt was used as input to an 8-bit A/D converter. 2) A specially devised tensiometer was used to content the watering system. When the needle of the pressure gauge reaches the lower threshold position it turns on the pumping system and turns off when it reaches higher threshold position. 3) In order to use the multiple gypsum blocks for one transducer, reed relays and a D/O board were used to make the sequential switching possible. 4) It was possible to automate the trickle irrigation system for the whole growth period of vinyl-house crops with the help of microcomputer. 5) In terms of furrow irrigation, the irrigation water consumption was the smallest, 2.8 times less than conventional method of surface trickle irrigation, 3.4 times less than subsurface trickle irrigation method. 6) In terms of productivity of cucumber, there was a drop in productivity when compared to furrow irrigation method, 7.2% for surface trickle irrigation, 27.4% for subsurface irrigation method.

• 한국군사과학기술학회지
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• 제14권1호
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• pp.123-131
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• 2011

In this paper, modeling and design of a distributed detection system are considered for an active sonar sensor network. The sensor network has a parallel configuration and it consists of a fusion center and a set of receiver nodes. A system with two receiver nodes is considered to investigate a theoretical aspect of design. To be specific, AND rule and OR rule are considered as the fusion rules of the sensor network. For the fusion rules, it is shown that a threshold rule of each sensor node has uniformly most powerful properties. Optimum threshold for each sensor is obtained that maximizes the probability of detection given probability of false alarm. Numerical experiments were also performed to investigate the detection characteristics of a distributed detection system with multiple sensor nodes. The experimental results show how signal strength, false alarm probability, and the distance between nodes in a sensor field affect the system detection performances.

• 한국생활과학회지
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• 제9권3호
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• pp.271-281
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• 2000

The purpose of this study was to explore the effect of maternal perception of children's temperament on parenting stress. The subjects of this study were 303 mothers of four to six-year-old. Evaluations of Parent and Teacher temperament questionnaire for Children 3-7 years of age(Tomas, Chess, & Kom, 1977)(korean version) was used to measure children's temperament, and PDH(Parenting Daily Hassles) was used to measure maternal perception of parenting stress. Data were analyzed by descriptive analysis, t-test, ANOVA, Peasons's Correlation and multiple regression analysis and Duncan test for post test by SPSS WIN program. The results of this study were as follows; First, the average level of maternal perception of children's temperament was the highest in the category of adaptability and the lowest in the category of threshold of responsiveness. Second, maternal perception of children's temperament was significantly different according to children's sex. Boys were perceived higher than girls for the category of activity level. Third, the degree of daily hassles was explained by adaptability, the quality of mood, and activity level relatively, while the intensity of parenting stress could be predicted orderly by adaptability, threshold of responsiveness, attention span & persistence, regularity, and activity level. Fourth, mother's daily hassles was explained 22% valiance by children's temperament such as adaptability, the quality of mood, and activity level. Future research should be done to identify the interaction of temperamental factors.

• 제어로봇시스템학회논문지
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• 제11권5호
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• pp.423-428
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• 2005

This paper proposes a new edge detection method using a $3{\times}3$ ideal binary pattern and lookup table (LUT) for the mobile robot localization without any parameter adjustments. We take the mean of the pixels within the $3{\times}3$ block as a threshold by which the pixels are divided into two groups. The edge magnitude and orientation are calculated by taking the difference of average intensities of the two groups and by searching directional code in the LUT, respectively. And also the input image is not only partitioned into multiple groups according to their intensity similarities by the histogram, but also the threshold of each group is determined by fuzzy reasoning automatically. Finally, the edges are determined through non-maximum suppression using edge confidence measure and edge linking. Applying this edge detection method to the mobile robot localization using projective invariance of the cross ratio. we demonstrate the robustness of the proposed method to the illumination changes in a corridor environment.

• 한국음향학회지
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• 제36권4호
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• pp.229-237
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• 2017

본 논문에서는 표적이 특정 탐지 빔 공간에 위치하는 동안 신호가 정상성을 유지하는 단기 정상성 개념을 활용한 자동 토널 탐지 기법을 제안 하였으며, 제안 기법의 연산량 감축 기법을 추가 제안하였다. 제안 기법은 신호의 정상성이 유지 되는 시간 동안 단일 빔 신호에서 추정된 문턱값과 입력신호의 기댓값을 비교함으로써 신호에 가변적이면서도 다수 표적에 의한 간섭 소음에 강인한 장점이 있다. 제안 기법의 성능 평가를 위하여 모사 신호 및 실제 해양 신호를 사용하였으며, 실험 결과 제안 기법이 기존 CFAR(Constant False Alarm Rate) 기법에 비하여 성능이 우수함을 확인하였다.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제22권4호
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• pp.515-531
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• 2008

현대 사회에서 정보보안의 문제는 사회적 큰 이슈이므로 이에 필수적인 암호에 대한 사회적 관심도가 높아지고 있다. 암호기법 중 시각암호기법은 행렬과 조합, 이항정리와 같은 고등학교 수준의 수학내용이 실제로 어떻게 응용되는가를 보여줄 뿐 아니라 수학에 흥미가 있는 학생이라면 쉽게 접근할 수 있는 부분이다. 이 논문에서는 n개의 슬라이드 중 2개를 겹치면 비밀정보를 복원할 수 있는 (2,n) 시각암호 기법에서 표본행렬을 이용하여 비밀분산을 가능하게 하는 방법을 소개한다. 간단한 표본행렬을 이용하여 복수의 휘도를 허용함으로서 확장 화소의 수를 대폭적으로 줄일 수 있는 구성법과 그룹화에 의해 복수의 비밀정보를 분산 및 복원시킬 수 있는 응용방법을 제안하며 이러한 방법이 확장 화소의 수와 상대휘도의 관점에서 기존의 기법에 비해 성능이 우수함을 보이고자 한다.

• 한국위성정보통신학회논문지
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• 제5권1호
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• pp.27-31
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• 2010

급증하는 주파수 수요를 해결하기 위해 최근 FCC(Federal Communications Commission)에서는 스펙트럼 사용 효율을 높이기 위해 주파수를 공유하는 CR(Cognitive radio)를 적용하기로 하였다. 그리고 이러한 CR 시스템을 LTE 시스템에 적용하고자 CR 기술 중 스펙트럼 센싱 이론을 LTE 환경에 적용을 시켜 실험을 하여 성능분석을 하였다. 본 실험에 있어서 LTE 하향링크 OFDMA (Orthogonal frequency division multiple access) 신호를 센싱했고, 채널은 가우시안 채널로 가정하여 실험을 하였다. 또한 실험에 필요로 한 임계값(threshold)은 5%, 10%로 달리 적용하여 성능분석을 하였다. 그리고 추후 LTE 시스템에 CR 시스템 적용을 위한 향후 연구 방향에 대하여 논의를 하였다.

• 비파괴검사학회지
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• 제34권6호
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• pp.419-427
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• 2014

Nonlinear features of ultrasonic waves are more sensitive to the presence of a fatigue crack than their linear counterparts are. For this reason, the use of nonlinear ultrasonic techniques to detect a fatigue crack at its early stage has been widely investigated. Of the different proposed techniques, laser nonlinear wave modulation spectroscopy (LNWMS) is unique because a pulse laser is used to exert a single broadband input and a noncontact measurement can be performed. Broadband excitation causes a nonlinear source to exhibit modulation at multiple spectral peaks owing to interactions among various input frequency components. A feature called maximum sideband peak count difference (MSPCD), which is extracted from the spectral plot, measures the degree of crack-induced material nonlinearity. First, the ratios of spectral peaks whose amplitudes are above a moving threshold to the total number of peaks are computed for spectral signals obtained from the pristine and the current state of a target structure. Then, the difference of these ratios are computed as a function of the moving threshold. Finally, the MSPCD is defined as the maximum difference between these ratios. The basic premise is that the MSPCD will increase as the nonlinearity of the material increases. This technique has been used successfully for localizing fatigue cracks in metallic plates.

• International Journal of Advanced Culture Technology
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• 제12권3호
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• pp.471-479
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• 2024

Recent advancements in cloud computing have significantly increased its importance across various sectors. As sensors, devices, and customer demands have become more diverse, workloads have become increasingly variable and difficult to predict. Cloud providers, connected to multiple physical servers to support a range of applications, often over-provision resources to handle peak workloads. This approach results in inconsistent services, imbalanced energy usage, waste, and potential violations of service level agreements. In this paper, we propose a novel engine equipped with a scheduler based on the Hot-Threshold concept, aimed at optimizing resource usage and improving energy efficiency in cloud environments. We developed this engine to employ both proactive and reactive methods. The proactive method leverages workload estimate-based provisioning, while the reactive Hot-Cold Scheduler consists of a Predictor, Solver, and Processor, which together suggest an intelligent migration flow. We demonstrate that our approach effectively addresses existing challenges in terms of cost and energy consumption. By intelligently managing resources based on past user statistics, we provide significant improvements in both energy efficiency and service consistency.