• 한국기계연구소 소보
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• 통권9호
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• pp.183-191
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• 1982

This report describes the analysis method of the full-scale propulsive performance by using the data of model test and the full-scale speed trial. The model test data were analyzed by the computer program "PPTT" based on "1978 ITTC Performance Prediction Method for Single Screw Ships." Also the full-scale speed trial data were analyzed by the computer program "SSTT" based on the newly proposed “SRS-KIMM Standard Method of Speed Trial Analysis." An analysis of model and full-scale test data was carried out for a 60.000 DWT Bulk Carrier and the correlation between model and full-scale ship was stuied.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1296-1299
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• 2002

We implemented a CD signal processor operated on a CAV 48-speed CD-ROM drive into a VLSI. The CD signal processor is a mixed mode monolithic IC including servo-processor, data recovery, data-processor, and I-bit DAC. For servo signal processing, we included a DSP core, while, for CAV mode playback, we adopted a PLL with a wide recovery range. Data processor (DP) was designed to meet the yellow book specification.［2］So, the DP block consists of EFM demodulator, C1/C2 ECC block, audio processor and a block transferring data to an ATAPI chip. A modified Euclid's algorithm was used as a key equation solver for the ECC block To achieve the high-speed decoding, the RS decoder is operated by a pipelined method. Audio playability is increased by playing a CD-DA disc at the speed of 12X or 16X. For this, subcode sync and data are processed in the same way as main data processing. The overall performance of IC is verified by measuring a transfer rate from the innermost area of disc to the outermost area. At 48-speed, the operating frequency is 210 ㎒, and this chip is fabricated by 0.35 um STD90 cell library of Samsung Electronics.

• 한국ITS학회 논문지
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• 제21권2호
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• pp.74-84
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• 2022

자율주행 관련 기술의 고도화와 함께 자율차와 비자율차가 혼재된 교통 환경이 예측됨에 따라서 미시구간의 차량 속도정보 예측은 안전한 교통 환경 구축에 가장 중요한 정보 중 하나로 판단되고 있다. 하지만, 현재 제공되는 링크 기준 미시구간 주행 속도는 속도 변화 구간을 정확하게 반영하지 못하는 한계가 있다. 본 연구에서는 미시구간 속도정보 서비스를 위한 개별 차량 빅데이터 기반의 공간 분할 방안을 제시한다. 본 연구에서는 차량 빅데이터를 이용한 동질속도구간 도출과 지오해시 기반의 단계적 구간 분할을 통하여 미시적 속도 정보 변화 지점을 분류하였다. 경부고속도로 경기지역에 대하여 제안된 방법을 적용한 결과 해당 구간 도로는 130 및 170개의 동질속도구간으로 세분되었다. 본 연구에서는 결과 분석을 통하여 제안된 방법은 기존 링크 기반 정보에 비하여 정밀하고 정확한 속도 정보 제공이 가능함을 제시하였으며, 개별 차량 빅데이터를 이용한 미시적 속도 정보 제공을 위한 구간 세분화가 필요함을 검증하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집 특별세미나,특별/일반세션
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• pp.341-347
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• 2009

In high speed railway, event recorder system stores a train speed and the related data for train operation in real time. Using those information, we can analysis the train operation and the reason of train accident. Analysis software gets the stored data from Event Recorder and shows the status of various signals related with train operation. Using it, also we can analysis the train operation before and after the given time. In this paper we propose the analysis software to show and analysis the operation of high speed train. The method of transferring the stored data from Event Recorder into Analysis Software is proposed. We develop the efficient procedure to store the transferred data into analysis system. Also the effective method to show the store data and to analysis them is studied for finding the cause of train accident.

• Journal of Biosystems Engineering
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• 제32권5호
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• pp.324-331
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• 2007

The purpose of this study is to analysis effects of defect factors of combine header for cutting speed of combine header, feeding depth of straw, and cylinder speed of thresher. Measurement system for defect factors was consists of sensors to monitor the combine operation and I/O interface to convert the signals. Cutting speed of combine header, feeding depth of straw, cylinder speed of thresher were measured and analyzed. The data were collected from three paddy field during rice harvesting. The tests were conducted at different grounding speeds, lug troubles, and cutter condition. The one way ANOVA and the multiple comparison tests were performed. The results showed that the measured data were useful to monitor the defect factors of combine during harvesting. The faults conditions of grounding speeds, lug troubles, and cutter conditions affected cutting speeds, feeding depths and cylinder speeds of the combine. The data seem to be useful to analysis the faults conditions of combine header.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 추계학술대회 논문집 학회본부 B
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• pp.405-407
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• 2000

The most generally implemented method to detect the ground speed of the railway vehicles is to use the rotary type speed sensor attached to wheel axle. The Slip or sliding phenomenon on the railway vehicles occurs frequently caused by the weak viscosity of the wheel. Thus, precisely to control the car, the slip/sliding detection system is required. In this paper we proposed for the speed data management system, which uses rotary type speed sensor. Proposed speed management system can detect the slip/sliding with wheel axle as well as correct the generated speed error during in error time, to provide accurate speed and precise location data. The effectiveness for adapting to the railway system is clarified by the computer simulation.

• 한국환경과학회지
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• 제17권2호
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• pp.195-201
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• 2008

Damage from typhoon disaster can be mitigated by grasping and dealing with the damage promptly for the regions in typhoon track. What is this work, a technique to analyzed dangerousness of typhoon should be presupposed. This study estimated 10 m level wind speed using 700 hPa wind by typhoon, referring to GPS dropwindsonde study of Franklin(2003). For 700 hPa wind, 30 km resolution data of Regional Data Assimilation Prediction System(RDAPS) were used. For roughness length in estimating wind of 10 m level, landuse data of USGS are employed. For 10 m level wind speed of Typhoon Rusa in 2002, we sampled AWS site of $7.4{\sim}30km$ distant from typhoon center and compare them with observational data. The results show that the 10 m level wind speed is the estimation of maximum wind speed which can appear in surface by typhoon and it cannot be compared with general hourly observational data. Wind load on domestic buildings relies on probability distributions of extreme wind speed. Hence, calculated 10 m level wind speed is useful for estimating the damage structure from typhoon.

• 한국ITS학회 논문지
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• 제19권1호
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• pp.1-16
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• 2020

4차 산업혁명 시대가 도래함에 따라 빅데이터를 활용하는 딥러닝에 대한 관심이 높아졌으며 다양한 분야에서 딥러닝을 이용한 연구가 활발하게 진행되고 있다. 교통 분야에서도 교통빅데이터를 많이 활용하는 만큼 딥러닝을 연구에 이용한다면 많은 이점이 있을 것이다. 본 연구에서는 통행속도를 예측하기 위하여 딥러닝 기법인 LSTM을 이용한 단기 통행속도 예측 모형을 구축하였다. 예측에 활용한 데이터인 통행속도 데이터가 시계열 데이터인 것을 고려하여 시계열 예측에 적합한 LSTM 모델을 선택하였다. 통행속도를 보다 정확하게 예측하기 위하여 시간적, 공간적 영향을 모두 반영하는 모형을 구축하였으며, 모형은 1시간 이후를 예측하는 단기 예측모형이다. 분석데이터는 서울시 교통정보센터에서 수집한 5분 단위 통행속도를 활용하였고 분석구간은 교통이 혼잡한 강남대로 일부구간으로 선정하여 연구를 수행하였다.

• 대한전자공학회논문지SD
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• 제39권5호
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• pp.74-86
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• 2002

본 논문은 결정 궤환 구조를 갖는 차동 위상 검출기의 고속 데이터 처리를 위한 VLSI 구조를 제안한다. 기존 차동 위상 검출 방식의 낮은 BER 성능을 극복하기 위해 DF-DPD, DPD-RGPR, DFDPD-SA 등의 다중 심볼 검출 방식이 제시되었다. 이러한 검출 방식들은 참조 위상으로 사용되는 이전 심볼에서의 잡음 효과를 작게 하기 위하여 검출된 위상을 궤환시키는 구조를 갖고 있다. 하지만, 검출된 위상을 궤환시키는 작용은 데이터 처리 속도를 기존의 차동 위상 검출기보다 느리게 한다. 본 논문에서는 결정 궤환 구조를 갖는 차동 위상 검출기가 기존의 차동 위상 검출 방식처럼 고속으로 데이터를 처리할 수 있는 VLSI 구조를 제안하였다. 제안된 구조는 'M-1' 번째 과정에서 'M' 번째 과정을 미리 계산하는 선계산(pre-calculation) 방식과 'M-1'번째 과정에서 예견 위상들을 궤환시키는 선결정 궤환(pre-decision feedback) 방식을 갖는다. 본 논문에서 제안된 구조는 VHDL(Very-high-speed-IC Hardware Description Language)를 사용하여 RTL(Register Transfer Level)로 구현되었다. 시뮬레이션 결과, 제안된 구조는 고속으로 데이터를 처리함을 확인하였다.

• Korean Chemical Engineering Research
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• 제55권5호
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• pp.668-678
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• 2017

Intermolecular interactions were studied for binary mixtures of 2-propanol + cyclohexane, n-hexane, benzene, toluene, o-, m- and p-xylenes by measuring ultrasonic speeds (u) over the entire range of composition at 298.15 K and 308.15 K. From these results the deviation in ultrasonic speed was calculated. These results were fitted to the Redlich-Kister equation to derive the binary coefficients along with standard deviations between the experimental and calculated data. Acoustic parameters such as excess isentropic compressibility ($K_s^E$), intermolecular free length ($L_f$) and available volume ($V_a$) were also derived from ultrasonic speed data and Jacobson's free length theory. The ultrasonic speed data were correlated by Nomoto's relation, Van Dael's mixing relation, impedance dependence relation, and Schaaff's collision factor theory. Van Dael's relation gives the best prediction of u in the binary mixtures containing aliphatic hydrocarbons. The ultrasonic speed data and isentropic compressibility were further analyzed in terms of Jacobson's free length theory.