• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.591-595
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• 1998

This paper proposes a new concept of optimal shortest path algorithm which reduce average vehicle wating time and improve average vehicle speed, Electro sensitive traffic system can extend the traffic cycle when three are many vehicles on the road or it can reduce the traffic cycle when there are small vehicles on the road. But electro sensitive traffic light system doesn't control that kind of function when the average vehicle speed is 10km -20km. Therefore, in this paper to reduce vehicle waiting time we developed design of traffic cycle software tool that can arrive destinination as soon as possible using optimal shortest pass algorithm. Computer simulation result proved 10%-32% reducing average vehicle wating time and average vehicle speed which can select shortest route using built in G.P.S. vehicle is better than not being able to select shortest route function.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 A
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• pp.145-147
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• 2002

In this paper, the improved fault locating method using distributed parameter which calculating the reduced voltage and current according to the ground capacitance in long transmission line was proposed. For the purpose of the fault locating algorithm non influenced source impedance, the loop method was used in the system modeling analysis. To enhance the fault locating, zero sequence of the fault current which is variable according to ground capacitance was not used but positive and negative sequence. System model was simulated using EMTP software. To verify the accuracy of proposed method, in different cases 64 sampled data per cycle was used and 160km and 300km long transmission line has fault resistance $0{\Omega}\;and\;100{\Omega}$ respectively was compared.

• Journal of Astronomy and Space Sciences
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• 제37권1호
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• pp.43-50
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• 2020

We have developed an algorithm for tracking coronal mass ejection (CME) propagation that allows us to estimate CME speed and its arrival time at Earth. The algorithm may be used either to forecast the CME's arrival on the day of the forecast or to update the CME tracking information for the next day's forecast. In our case study, we successfully tracked CME propagation using the algorithm based on g-values of interplanetary scintillation (IPS) observation provided by the Institute for Space-Earth Environmental Research (ISEE). We were able to forecast the arrival time (Δt = 0.30 h) and speed (Δv = 20 km/s) of a CME event on October 2, 2000. From the CME-interplanetary CME (ICME) pairs provided by Cane & Richardson (2003), we selected 50 events to evaluate the algorithm's forecast capability. Average errors for arrival time and speed were 11.14 h and 310 km/s, respectively. Results demonstrated that g-values obtained continuously from any single station observation were able to be used as a proxy for CME speed. Therefore, our algorithm may give stable daily forecasts of CME position and speed during propagation in the region of 0.2-1 AU using the IPS g-values, even if IPS velocity observations are insufficient. We expect that this algorithm may be widely accepted for use in space weather forecasting in the near future.

• 자동차안전학회지
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• 제13권2호
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• pp.35-41
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• 2021

In this study, improved path tracking control algorithm based on pure pursuit algorithm is newly proposed by using improved lane detection algorithm through real time post-processing with interpolation methodology. Since the original pure pursuit works well only at speeds below 20 km/h, the look-ahead distance is implemented as a sigmoid function to work well at an average speed of 45 km/h to improve tracking performance. In addition, a smoothing filter was added to reduce the steering angle vibration of the original algorithm, and the stability of the steering angle was improved. The post-processing algorithm presented has implemented more robust lane recognition system using real-time pre/post processing method with deep learning and estimated interpolation. Real time processing is more cost-effective than the method using lots of computing resources and building abundant datasets for improving the performance of deep learning networks. Therefore, this paper also presents improved lane detection performance by using the final results with naive computer vision codes and pre/post processing. Firstly, the pre-processing was newly designed for real-time processing and robust recognition performance of augmentation. Secondly, the post-processing was designed to detect lanes by receiving the segmentation results based on the estimated interpolation in consideration of the properties of the continuous lanes. Consequently, experimental results by utilizing driving guidance line information from processing parts show that the improved lane detection algorithm is effective to minimize the lateral offset error in the diverse maneuvering roads.

• 대한원격탐사학회지
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• 제36권6_2호
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• pp.1537-1549
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• 2020

KOMPSAT-3의 지상해상도는 전정색 밴드: 0.7 m, 다중 스펙트럴 밴드: 2.8 m이며, 관측 폭의 경우 16 km이다. 따라서 관측 폭(16 km) 보다 넓은 지역의 영상을 한 번의 촬영으로 획득할 수 없으며, 관측 폭 단위로 넓은 지역을 겹치게 촬영 한 후에 획득한 영상들을 하나의 영상으로 만들어야 주어야 한다. 이때 필요한 알고리즘을 영상 모자이킹 또는 영상 스티칭이라고 하며, 지도 제작, 국토관리 분야 등에 사용된다. 모자이킹 알고리즘은 일반적으로 (1) 특징점 추출 및 매칭, (2) 복사 평형, (3) 경계선 추정, (4) 영상 블렌딩의 4단계로 이루어져 있다. 본 논문에서는 위성 영상에서 효과적으로 경계선 추정할 수 있는 방법에 대해 연구하였다. 그 결과 기존의 방법에 비하여 더 정확하게 경계선을 추정할 수 있었으며, 모자이킹이 된 영상도 경계선 부분의 이질감이 최소화 되었다.

• 한국자동차공학회논문집
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• 제24권3호
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• pp.265-272
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• 2016

The objective of vehicle aerodynamic design is on the fuel economy, reduction of the harmful emission, minimizing the vibration and noise and the driving stability of the vehicle. Especially for a sedan, the driving stability of the vehicle is the main concern of the aerodynamic design of the vehicle indeed. In this theoretical study, an evaluation algorithm of aerodynamic driving stability of a vehicle was made to estimate the dynamic stability of a vehicle at the given driving condition on a road. For the stability evaluation of a driving vehicle, CFD simulation was conducted to have the rolling, pitching and yawing moments of a model vehicle and compared the values of the moments to the resistance moments. From the case study, it is found that a model sedan running at 100 km/h in speed on a straight level road is stable under the side wind with 45 m/s in speed. But the different results may be obtained on the buses and trucks because those vehicles have the wide side area. From the case study of the model vehicle moving on 100 km/h speed with 15 m/s side wind is evaluated using the numerical algorithm drawn from the study, the value of yawing moment is $608.6N{\cdot}m$, rolling moment $-641N{\cdot}m$ and pitching moment $3.9N{\cdot}m$. These values are smaller than each value of rotational resistance moment the model vehicle has, and therefore, the model vehicle's driving stability is guaranteed when driving 100 km/h with 15 m/s side wind.

• ETRI Journal
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• 제22권4호
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• pp.32-39
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• 2000

In low earth orbit (LEO) satellite communication systems, more severe phase distortion due to Doppler shift is frequently detected in the received signal than in cases of geostationary earth orbit (GEO) satellite systems or terrestrial mobile systems. Therefore, an estimation of Doppler shift would be one of the most important factors to enhance performance of LEO satellite communication system. In this paper, a new adaptive Doppler compensation scheme using location information of a user terminal and satellite, as well as a weighting factor for the reduction of prediction error is proposed. The prediction performance of the proposed scheme is simulated in terms of the prediction accuracy and the cumulative density function of the prediction error, with considering the offset variation range of the initial input parameters in LEO satellite system. The simulation results showed that the proposed adaptive compensation algorithm has the better performance accuracy than Ali's method. From the simulation results, it is concluded the adaptive compensation algorithm is the most applicable method that can be applied to LEO satellite systems of a range of altitude between 1,000 km and 2,000 km for the general error tolerance level, M = 250 Hz.

• 한국인터넷방송통신학회논문지
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• 제11권5호
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• pp.47-52
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• 2011

본 논문에서는 주행 중 타이어와 노면이 마찰하면서 발생하는 초음파 신호에서 이물질로 인해 야기되는 우성주기를 검출하여 타이어 손상 유무를 판별하는 알고리즘에 대해 연구하였다. 손상된 타이어에서 획득한 초음파 신호의 포락선에 대해 전력스펙트럼을 산출하고 통계적 처리에 의한 임계값을 설정함으로써 우성주기를 판별하는 알고리즘을 제안하였다. 모의실험 결과, 시속 80km/h로 주행 시 초음파 신호의 포락선에 대해 전력스펙트럼의 피크주기 97.6ms에 비해 제안된 알고리즘의 우성주기는 100ms로서 포락선 피크의 평균주기 101.24ms를 기준으로 하였을 때 더 정확한 주기 측정 결과를 보였다.

• 한국산학기술학회논문지
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• 제16권12호
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• pp.8700-8706
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• 2015

고속철도차량 동력대차의 1차 구동장치는 모터 감속기와 견인전동기로 구성한다. 모터 감속기와 견인전동기는 기계적으로 일체형 결합 구조이지만, 상이한 기술 요구사항으로 인하여 이들의 완전 분해정비 주기는 서로 다르다(모터 감속기의 완전 분해정비 주기: $1.8{\times}10^6km$, 견인전동기의 완전 분해정비 주기: $2.5{\times}10^6km$). 따라서 불필요한 정비 횟수를 감소하기 위하여 신뢰성 중심 유지보수 관점에서 최적의 완전 분해정비 주기의 산정이 중요하다. 본 연구에서는 실제 유지보수 정비이력으로부터 두 구성품들에 대한 고장 결함나무 분석을 수행하고 각 하부부품들의 치명도를 고려한 고장률을 각각 평가하였다. 두 구성품에 대한 최적의 동일한 완전분해 정비주기는 기존의 총 예방정비 비용을 감소하기 위하여 유전자 알고리즘으로 부터 얻었다. 이 알고리즘에서 각 개체를 구성하는 유전자는 최소 예방 정비주기이며, 이의 조합으로 구성된 세대별 개체의 적합도함수는 총 정비비용의 역수로 공식화하여 얻는다. 최소공배수에 의한 방법은 기존 대비 4%만 감소하지만, 유전자 알고리즘에 의한 최적의 동일 완전분해 정비주기는 225만km로서 기존 방법의 총비용과 비교하여 약 14% 감소하였다.

• 대한예방한의학회지
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• 제27권3호
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• pp.1-12
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• 2023

Objectives : The aim of this study is to analyze the news articles related to Korean Medicine(KM) and compare trends in news reports from 2018 to 2022. Method : News articles related to KM were collected through the BigKinds, the news bigdata service of the Korea Press Foundation. News reports from 1 January 2018 to 31 December 2022 were searched. 2,950 news articles out of a total of 12,497 met the inclusion criteria. First, quantitative changes in media coverage were analyzed by year, media outlet, and month. For qualitative analysis, two authors independently coded the content of news articles, discussed them until consensus, and consulted with a third researcher to classify them. In addition, keywords extracted by the BigKind's Topic Rank algorithm were compared and analyzed in each year. Results : The number of news articles on KM decreased by 42% in 2022 compared to 2018. Over a fiveyear period, the Naeil Shinmun reported the most on KM among newspapers, while the Hankyoreh did the least. Among broadcasters, YTN reported the most and SBS did the least. When analyzing the reports by category, the most common was 'treatment', followed by 'prevention' and 'scientification'. As a result of extracting keywords with high weight and frequency, 'immunity' and 'immune system' ranked the first and second in 2018, while 'COVID 19' and 'medical law violation' did in 2022. Conclusion : The decrease in media reports on KM during the COVID-19 epidemic period seems to be due to the limited role of KM in responding to infectious diseases, and efforts to expand the scope of KM can induce increased media reports and social interest.