• 제어로봇시스템학회논문지
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• 제21권3호
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• pp.210-216
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• 2015

This paper proposes a method to determine vehicle driving state using the driving characteristics index. This index is a quantitative value to classify the driving state of a vehicle with its velocity and heading angle in that instant. It can classify driving state into straight driving, lane changing driving and curve driving in real time. In addition, the number of positional information is movably set up by designed region of interest. The proposed index is expressed on the stable driving states. Each driving state has characteristic tendency, and is compared with index distributional areas. The proposed method is verified by the actual driving experiment on the KATECH proving ground.

• The Journal of Korean Physical Therapy
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• 제29권4호
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• pp.218-222
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• 2017

Purpose: Driving is an important activity that is affected by various motor and cognitive deficits after stroke. On the other hand, there is no standard screening tool to evaluate the sitting asymmetry during driving, which is the stereotyped postural characteristic observed in patients with stroke. Therefore, this study compared the buttock pressure during simulated driving between healthy adults and patients with stroke. Methods: Ten post-stroke patients and ten healthy subjects participated in the experiment. The participants experienced simulated driving of 6.1 km during approximately 5 minutes for adaptation. The driving scenario consisted of 3.5 km urban traffic conditions, 10 km straight highway, and 7 km curved or hilly rural roads. Force sensitive application (FSA) was used to analyze the distribution of the buttock pressure on the driver's seat. The symmetry index (SI) was determined using the average buttock pressure of each side of the buttock. The closer SI is to zero, the higher the symmetry of buttock pressure. Results: These studies showed that the SI of healthy subjects was significantly closer to zero than that of the stroke patients. Conclusion: The buttock pressure of the stroke patients showed more asymmetry than that of the healthy subjects during simulated driving. Therefore, a therapeutic approach is needed for symmetrical sitting to improve the driving performance.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 하계종합학술대회 논문집
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• pp.16-20
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• 1989

In this paper, we describe the optimal driving method and magnetic flux distribution of permanent magnet which enhance torque characteristics in small-sized 3-phase brushless DC motors. The disadvantages of conventional $120^{\circ}$ constant current drive method are torque ripple, switching noise and spike voltage due to the inductance of stator coil. This shortcommings can be avoided by the switching slew-rate of driving current which is called linear voltage driving method. The aim of this study is to analyze linear voltage driving method quantatively and to determine optimal drive current waveform through computer simulation. The selection of commutation angle and slew rate of a new driving current at switching instants makes torque ripple index minimize and average torque maximize. And the validity of this new driving method was assured by Fourier analysis. Considering two dimensional nonlinear magnetic flux distribution on the permanent magnet, we suggest optimal flux distribution according to the presented driving method which improves torque characteristics.

• 조명전기설비학회논문지
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• 제17권6호
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• pp.119-126
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• 2003

본 논문에서는 압연공정에서 압연용 롤을 구동하는 속도 제어 계통의 계단 응답 특성에 대한 관리지표값들을 자동으로 산출하는 알고리즘을 제안한다. 잡음이 포함된 속도 응답 데이터에서 최대값이 2개 이상 존재할 수 있는 경우들을 세 가지 독립된 유형으로 분류하였다. 각 유형별로 적절한 최대 오버슈트 후보를 선택하는 방법을 제안하였으며, 선택된 최대 오버슈트 후보가 옳은 지를 점검할 수 있는 판정 알고리즘을 개발하였다. 두 가지 유형의 시험을 통해 제안된 알고리즘으로 최대 오버슈트의 크기와 위치를 잘 검출할 수 있음을 보였다.

• Earthquakes and Structures
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• 제18권1호
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• pp.73-82
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• 2020

With the coal mining depth increasing, both stress and gas pressure rapidly enhance, causing coal and gas outburst risk to become more complex and severe. The conventional method for prediction of coal and gas outburst adopts one prediction index and corresponding critical value to forecast and cannot reflect all the factors impacting coal and gas outburst, thus it is characteristic of false and missing forecasts and poor accuracy. For the reason, based on analyses of both the prediction indicators and the factors impacting coal and gas outburst at the test site, this work carefully selected 6 prediction indicators such as the index of gas desorption from drill cuttings Δh₂, the amount of drill cuttings S, gas content W, the gas initial diffusion velocity index ΔP, the intensity of electromagnetic radiation E and its number of pulse N, constructed the Bayes discriminant analysis (BDA) index system, studied the BDA-based multi-index comprehensive model for forecast of coal and gas outburst risk, and used the established discriminant model to conduct coal and gas outburst prediction. Results showed that the BDA - based multi-index comprehensive model for prediction of coal and gas outburst has an 100% of prediction accuracy, without wrong and omitted predictions, can also accurately forecast the outburst risk even for the low indicators outburst. The prediction method set up by this study has a broad application prospect in the prediction of coal and gas outburst risk.

• 제어로봇시스템학회논문지
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• 제14권10호
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• pp.1062-1072
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• 2008

When mobile robots perform the mission in the rough terrain, the traversability depended on the terrain characteristic is useful information. In the traversabilities, wheel-terrain maximum friction coefficient can indicate the index to control wheel-terrain traction force or whether mobile robots to go or not. This paper proposes estimating wheel-terrain maximum friction coefficient. The existing method to estimate the maximum friction coefficient is limited in flat terrain or relatively easy driving knowing wheel absolute velocity. But this algorithm is applicable in rough terrain where a lot of slip occurred not knowing wheel absolute velocity. This algorithm applies the tire-friction model to each wheel to express the behavior of wheel friction and classifies slip-friction characteristic into 3 major cases. In each case, the specific algorithm to estimate the maximum friction coefficient is applied. To test the proposed algorithm's feasibility, test bed(ROBHAZ-6WHEEL) simulations are performed. And then the experiment to estimate the maximum friction coefficient of the test bed is performed. To compare the estimated value with the real, we measure the real maximum friction coefficient. As a result of the experiment, the proposed algorithm has high accuracy in estimating the maximum friction coefficient.

• 한국통신학회논문지
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• 제22권1호
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• pp.89-95
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• 1997

X-cut y-propagation $LiNbO_{3}$ 광변조기를 해석하고, 광대역 변조특성을 얻기 위한 설계조건을 구한다. 먼저, 구성된 전극에 대하여 최대 변조효율을 얻기 위한 광도파로의 최적위치를 찾고, 다양한 설계조건에 따른 구동전압, 특성 임피던스, M/W 변조파 유효굴절율을 계산하였으며, 이와 같은 수치적 해석을 위해 유한요소법(FEM: Finite Element Method)을 사용하였다. 그리고 사용된 설계 틀의 유용성을 확인하기 위하여 Becker의 결과와 비교평가 하였다. 본 논문에서는 ridge형 도파로구조의 x-cut $LiNbO_{3}$ 광변조기에 대한 다양한 계산을 통하여, 결과적으로 $1.3{\mu}{\textrm{m}}$의 광신호에 대하여 1.8 V.cm의 구동전압과 특성임피던스 $48.13{\Omega}$ M/W(microwave) 변조파 유효굴절율 2.168을 가치는 x-cut $LiNbO_{3}$ 광변조기를 설계하였다.

• 대한교통학회지
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• 제35권2호
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• pp.116-128
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• 2017

교통사고는 운전자가 주변 차량 및 도로기하구조 상태 변화에 대한 인지부족과 적절한 회피 행동을 능동적으로 수행하지 못하는 경우에 순간적으로 발생하는 차량의 물리적 충돌사건으로 정의 될 수 있다. 따라서, 운전자가 도로를 주행하면서 만들어 내는 주변 환경과의 상호작용을 지속적으로 모니터링하고, 교통사고를 유발할 개연성이 높은 이벤트를 검지하는 것은 교통사고 예방을 위한 선결조건이다. 본 연구에서는 연속류 도로를 대상으로, GPS(Global Positioning System)-IMU(Inertial Measurement Unit), 카메라, 레이더, 라이다가 부착된 조사 차량을 이용하여 도로기하구조 및 교통환경 정보를 취득하였다. 취득된 정보를 가공하여 차량의 상호 작용 및 도로기하구조 특성을 고려한 주변차량과의 충돌 가능성여부를 평가할 수 있는 알고리즘을 개발하였다. 특히, 도로기하구조를 제한속도(직선부), 안전 속도(곡선부)로 구분하여 평가하고, 교통안전지표인 SDI를 이용하여 차량의 주행안전성을 평가하였다. 본 연구에서 개발한 방법론은 도래하는 자율주행시대에 차량의 센서로 부터 수집이 가능한 자료를 이용하여 안전성을 평가한다는 관점에서 향후 유용하게 활용 될 수 있을 것으로 기대된다.

• 대한기계학회논문집A
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• 제34권12호
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• pp.1871-1876
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• 2010

사람이 소리를 듣는 것은 다분히 감정적이고 주관적으로 이루어진다. 따라서 소음 측정의 척도로 주로 사용되는 dB(A)와 같은 청감을 고려한 수치로 표현하기 어렵기 때문에 때와 장소, 차량에 따라 주관적이고 사람의 감정에 맞는 주관적 척도가 요구된다. 즉, 평가하고자 하는 음질인자 항목들은 독립적 관계가 아닌 서로 상관관계의 특성을 고려하여 음질 평가를 수행해야 한다. 그러므로 인간의 청감에 가깝고 정확한 음질 평가를 위해서는 음질인자 별 다변량 분석이 필요하다. 본 연구에서는 차량 주행 소음을 대상으로 특성인자간 상관관계를 고려해 시스템을 분석할 수 있는 마할라노비스 거리(Mahalanobis distance,MD)를 통해 음질 인덱스를 구축하고자 한다.

• Acute and Critical Care
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• 제33권4호
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• pp.222-229
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• 2018

Background: The diagnosis of pediatric acute respiratory distress syndrome (PARDS) is a pragmatic decision based on the degree of hypoxia at the time of onset. We aimed to determine whether reclassification using oxygenation metrics 24 hours after diagnosis could provide prognostic ability for outcomes in PARDS. Methods: Two hundred and eighty-eight pediatric patients admitted between January 1, 2010 and January 30, 2017, who met the inclusion criteria for PARDS were retrospectively analyzed. Reclassification based on data measured 24 hours after diagnosis was compared with the initial classification, and changes in pressure parameters and oxygenation were investigated for their prognostic value with respect to mortality. Results: PARDS severity varied widely in the first 24 hours; 52.4% of patients showed an improvement, 35.4% showed no change, and 12.2% either showed progression of PARDS or died. Multivariate analysis revealed that mortality risk significantly increased for the severe group, based on classification using metrics collected 24 hours after diagnosis (adjusted odds ratio, 26.84; 95% confidence interval [CI], 3.43 to 209.89; P=0.002). Compared to changes in pressure variables (peak inspiratory pressure and driving pressure), changes in oxygenation (arterial partial pressure of oxygen to fraction of inspired oxygen) over the first 24 hours showed statistically better discriminative power for mortality (area under the receiver operating characteristic curve, 0.701; 95% CI, 0.636 to 0.766; P<0.001). Conclusions: Implementation of reclassification based on oxygenation metrics 24 hours after diagnosis effectively stratified outcomes in PARDS. Progress within the first 24 hours was significantly associated with outcomes in PARDS, and oxygenation response was the most discernable surrogate metric for mortality.