• Wind and Structures
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• 제37권4호
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• pp.275-287
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• 2023

Subgrade differential settlement of high-speed railways was a pivotal issue that could increase the risk of trains operation. The risk will be further increased when trains in the subsidence zone are affected by crosswinds. In this paper, the computational fluid dynamics (CFD) model and finite element (FE) model were established, and the data transmission interface of the two models was established by fluid-solid interaction (FSI) method to form a systematic crosswind-train-track-subgrade dynamic model. The risk of high-speed train encountering crosswind in settlement area was analyzed. The results showed that the aerodynamic force of the trains increased significantly with the increase in crosswind speed. The aerodynamic force of the trains could reach 125.14 kN, significantly increasing the risk of derailment and overturning. Considering the influence of crosswind, the risk of train operation could be greatly increased. The safety indices and the wheel-rail force both increased with the increase of the wind speed. For the high-speed train running at 350 km/h, the warning value of wind speed was 10.2 m /s under the condition of subgrade settlement with wavelength of 20 m and amplitude of 15 mm.

• Journal of Electrical Engineering and Technology
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• 제10권1호
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• pp.92-101
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• 2015

As one type of power quality (PQ) disturbance sources, high-speed rail (HSR) can have major impacts on the power supply grid. Providing timely and accurate warning information for PQ problems of HSR is important for the safe and stable operation of traction power supply systems and the power supply grid. This study proposes a novel warning approach to identify PQ problems and provide warning prompts based on the monitored data of HSR. To embody the displacement and status change of monitored data, multi-features of different sliding windows are computed. To reflect the relative importance degree of these features in the overall evaluation, an analytic hierarchy process (AHP) is used to analyse the weights of multi-features. Finally, a multi-features similarity algorithm is applied to analyse the difference between monitored data and the reference data of HSR, and PQ warning results based on dynamic thresholds can be analysed to quantify its severity. Cases studies demonstrate that the proposed approach is effective and feasible, and it has now been applied to an actual PQ monitoring platform.

• Journal of Biosystems Engineering
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• 제14권1호
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• pp.1-7
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• 1989

This study was carried out to develop a system and methodology to simulate the engine load variation occuring during agricultural field operations for a laboratory engine test. The system consisted of an electric dynamometer, an Apple II microcomputer, and a data acquisition and control system. Several pieces of instruments were utilized to measure various engine performance data. Both engine torque and engine speed were fully controlled by a computer program. The dynamic characteristics of the system were analyzed through a series of tests and the limitations on the load simulation test were presented. The results of the study are summarized as follows: 1. Engine speed and toque were controlled by a computer program. The use of a stepping motor and reduction gears enabled engine speed be controlled within 1 rpm. 2. The natural frequency of the dynamometer-engine system was found to be around 5 Hz, at which the load simulation would be impossible because of resonance. 3. For the harmonic inputs with the frequencies above the natural frequency, the signal attenuated too much and therefore the load simulation was impossible. 4. The step response of the system showed an overshoot of 24.5 percent and the settling time for 5 percent criterion was around 3 seconds. 5. When actual field test data are utilized for load simulation, a low-pass filter should be included to attenuate the frequency components around and above the natural frequency.

• 한국통신학회논문지
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• 제19권2호
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• pp.254-265
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• 1994

대규모 데이터 네트워크에서 최적 경로 설정 문제를 해결하기 위해 HAD-GP (hierarchcal aggregation/disaggregation and decomposition/composition gradient projection) 알고리즘이 제안된다. 이를 위해 우선 [7]에서 제안된 IAD-GP (interative aggregation/disaggregation GP) 알고리즘의 성능을 향상시킨다. 원래의 IAD-GP 알고리즘과 변형된 IAD-GP 알고리즘에서 사용된 A/D 개념은 본질적으로 대규모 데이터 네트워크의 계층적 구조에 적합하기 때문에 알고리즘의 수렴에 있어 속도 향상을 기대할 수 있다. 제안된 HAD-GP 알고리즘 역시 대규모 데이터 네트워크의 계층 구조화된 토폴로지를 이용하여, 특히 분산화된 환경하에서 수렴속도의 현저한 향상을 달성할 수 있다. 이 속도 향상 효과는 컴퓨터 모의실험에 의해 HAD-GP 알고리즘을 IAD-GP와 일반적인 GP (ORD GP) 알고리즘과 비교함으로써 보여진다.

• 문화기술의 융합
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• 제1권3호
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• pp.83-85
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• 2015

최근 가전제품, 모바일 장비, 웨어러블 컴퓨터 등의 IoT 분야에서 센서 정보를 주고 받는 직렬 통신 방식이 사용된다. 기존의 SPI와 I2C 직렬 통신 방식은 클럭과 데이터 2개의 핀을 사용하여 비교적 빠른 속도로 데이터를 전송하는 방식이다. 사용되는 사물들이 점차 작아지고, 데이터 전송 정보의 양이 적어지면서 전송 속도보다는 하드웨어의 단순화가 중요한 설계요소가 되는 응용분야가 늘어나고 있다. 본 논문에서는 단일 핀을 사용하여, 데이터를 직렬로 송 수신하는 회로를 설계하고 FPGA로 구현하였다. 제안된 단일 핀 직렬 통신 프로토콜은 적은 양의 데이터를 저속으로 통신하는 IoT 제품에 적합하다.

• 디지털산업정보학회논문지
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• 제9권1호
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• pp.103-110
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• 2013

WAVE system is a vehicle communication technology. The system provides the services to prevent vehicle accidents that might occur during driving. Also, it is used to provide various services such as monitoring vehicle management and system failure. In this paper, we divide module that manages WAVE MAC state into a WSMP base MLME module and IP base module and we design and implement a parameter environment between WME module to manage the state of the WAVE system and MLMEX module to mange IP base of WAVE MAC therefore the date to be processed.Also, in order to verify the validity, we have carried out experiments to compare the speed of data processing by dividing data of 5Mbyte, 10Mbyte, 20Mbyte into the packets of 2KByte and 4KByte. Therefore, in WAVE system, the Parameter environments and data processing speed between WME and MLMEX module can be utilized in the various service of vehicle communication technology depending on the speed of data processing.

• Wind and Structures
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• 제9권1호
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• pp.37-58
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• 2006

The paper describes a study about effects of upstream hills on design wind loads using two mathematical approaches: Computational Fluid Dynamics (CFD) and Artificial Neural Network (NN for short). For this purpose CFD and NN tools have been developed using an object-oriented approach and C++ programming language. The CFD tool consists of solving the Reynolds time-averaged Navier-Stokes equations and $k-{\varepsilon}$ turbulence model using body-fitted nearly-orthogonal coordinate system. Subsequently, design wind load parameters such as speed-up ratio values have been generated for a wide spectrum of two-dimensional hill geometries that includes isolated and multiple steep and shallow hills. Ground roughness effect has also been considered. Such CFD solutions, however, normally require among other things ample computational time, background knowledge and high-capacity hardware. To assist the enduser, an easier, faster and more inexpensive NN model trained with the CFD-generated data is proposed in this paper. Prior to using the CFD data for training purposes, extensive validation work has been carried out by comparing with boundary layer wind tunnel (BLWT) data. The CFD trained NN (CFD-NN) has produced speed-up ratio values for cases such as multiple hills that are not covered by wind design standards such as the Commentaries of the National Building Code of Canada (1995). The CFD-NN results compare well with BLWT data available in literature and the proposed approach requires fewer resources compared to running BLWT experiments.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 G
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• pp.3215-3217
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• 1999

In this paper, a new structure of realizing switching control logic for Data Weighted Average Technique is suggested. It uses memory and adder for summing past binary input and this summed data is used to select one switch in control logic. This control logic acts in parallel regardless of resolution so increasing resolution don't affect on converting speed. In this reason, high speed and high resolution D/A converter based on Data Weighted Average Technique could be made. In this paper, 4 bits current mode thermometer code D/A converter is degined and simulated by using HSPICE. Simulated results show that new structure of D/A converter has more than 250MHz converting speed and less than 0.0003[LSB] INL error. It is very useful in low power circuit because of using 3.3 V supply voltage.

• 한국태양에너지학회 논문집
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• 제30권2호
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• pp.54-64
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• 2010

Interest in new and renewable energies like solar energy and wind energy is increasing throughout the world due to the rapidly expanding energy consumption and environmental reasons. An essential requirement for wind force power generation is estimating the size of wind energy accurately. Wind energy is estimated usually using meteorological data or field measurement. This study attempted to estimate wind energy density using meteorological data on daily mean wind speed and the Weibull parameters in Seoul, a representative inland city where over 60% of 15 story or higher apartments in Korea are situated, and Busan, Incheon, Ulsan and Jeju that are major coastal cities in Korea. According to the results of analysis, the monthly mean probability density distribution based on the daily mean wind speed agreed well with the monthly mean probability density distribution based on the Weibull parameters. This finding suggests that the Weibull parameters, which is highly applicable and convenient, can be utilized to estimate the wind energy density distribution of each area. Another finding was that wind energy density was higher in coastal cities Busan and Incheon than in inland city Seoul.

• 전기전자학회논문지
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• 제23권3호
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• pp.1038-1045
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• 2019

본 논문에서는 데이터 전송 속도를 제한하는 채널의 대역폭 문제를 해결하기 위한 방법으로 널리 사용되는 고속 듀오바이너리(duobinary) 송수신단 설계기술 동향을 서술한다. 고속 전송 환경에서는 전송 신호의 주파수가 채널의 대역폭보다 커지게 되어 신호의 손실이 극심해지는 문제가 생긴다. 듀오바이너리 신호는 같은 전송속도를 가지는 Non-Return-to-Zero 신호와 비교했을 때 수식적으로 더 낮은 주파수 대역폭을 가진다. 따라서 고주파 신호일수록 손실정도가 커지는 실제 데이터 채널 환경에서 듀오바이너리 신호기법을 사용함으로써 신호 손실을 효과적으로 줄일 수 있다. 이러한 듀오바이너리 신호기법의 수학적 분석과 더불어 듀오바이너리 신호기법을 고속 송수신단 설계에 적용한 여러 방법들에 대해 탐구한다.