• Title/Summary/Keyword: 견인 성능

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Steering Beam Pattern Synthesis of Line Array SONAR using Modified Two Step Least Squares Method (개선된 2단 최소자승법을 이용한 선배열 소나의 조향 빔 형성)

  • Park, Kyung-Min;Lee, Seok-Jin;Chung, Suk-Moon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.6
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    • pp.228-236
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    • 2014
  • Towed array SONAR is deformed because it operates in fluid such as an ocean. It especially undergoes significant change in shape as a towing vessel takes a turn. In this case, beam pattern synthesis of the line array is limited, resulting in degradation in quality such as signal-to-noise ratio. This paper presents a modified two-step least squares algorithm based on the two-step least squares method. The shape of the sea-operated line array formation with the towing vessel changing course(angle) was modeled and the algorithm was subsequently applied. While changing course and location of the main lobe in beam pattern was altered, signal-to-noise ratio of steering beam pattern synthesis was analyzed by algorithm (proposed and others). As a result, the proposed algorithm presented improvement in performance by 2dB compared to other algorithms while forming relatively constant beam pattern.

Evaluation on Insulation Performance of Traction Motors for a Hybrid Vehicle by Partial Discharge Measurement (부분방전 측정에 의한 하이브리드차량 견인전동기의 절연성능평가)

  • Park, Dae-Won;Park, Chan-Yong;Choi, Jae-Sung;Kil, Gyung-Suk;Lee, Kang-Won
    • Journal of the Korean Society for Railway
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    • v.12 no.2
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    • pp.249-253
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    • 2009
  • This paper dealt with the insulation evaluation by a measurement of partial discharge(PD) on traction motors used in a hybrid vehicle. The PD method has been accepted as an effective and a non-destructive. technique to evaluate insulation performance of low-voltage electric and electronic devices. In this paper, the PD measurement system which was manufactured with a coupling network, a low noise amplifier, and an associated electronics is described. The PD measurement system has the frequency bandwidth of $1[MHz]{\sim}30[MHz]$ at -3 [dB] and the stable sensitivity of 19 [mV/pC] for the traction motor. From the experimental results, discharge inception voltage (DIV) and apparent charge (q) were $1,100[V_{rms}]$ and 105 [pC] for the used motor, and $1,400[V_{rms}]$ and 84 [pC] for the new one. By comparing the DIV and q, we could evaluate the insulation condition for the traction motors.

Beamforming Method for Target Range Estimation Using Near Field Shading Function (근거리 쉐이딩 함수를 이용한 표적 거리 추정 빔형성 기법)

  • Choi, Joo-Pyoung;Lee, Won-Cheol
    • The Journal of the Acoustical Society of Korea
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    • v.27 no.7
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    • pp.350-356
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    • 2008
  • In this paper, we propose shading functions to the appropriate focused beamforming for near-field target estimation. This near field shading functions are based on Chebychev and Manning windows. In order to obtain the optimum sensor weighting values with the help of the proposed shading technique, we assume that the sensor positions associated to the non-uniformly distributed array are precisely known. We calculate a series of sensor weighting values from the FFT operation of given shading functions in time domain. By applying the shading weights on the sensor array, we can see that the level of sidelobe becomes diminished and the performance of estimating range and azimuth gets improved. In addition, we propose a non-uniform structure in terms of frequency bands, which may minimize the attenuation of incoming signals.

A Pilot Study on Outpainting-powered Pet Pose Estimation (아웃페인팅 기반 반려동물 자세 추정에 관한 예비 연구)

  • Gyubin Lee;Youngchan Lee;Wonsang You
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.1
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    • pp.69-75
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    • 2023
  • In recent years, there has been a growing interest in deep learning-based animal pose estimation, especially in the areas of animal behavior analysis and healthcare. However, existing animal pose estimation techniques do not perform well when body parts are occluded or not present. In particular, the occlusion of dog tail or ear might lead to a significant degradation of performance in pet behavior and emotion recognition. In this paper, to solve this intractable problem, we propose a simple yet novel framework for pet pose estimation where pet pose is predicted on an outpainted image where some body parts hidden outside the input image are reconstructed by the image inpainting network preceding the pose estimation network, and we performed a preliminary study to test the feasibility of the proposed approach. We assessed CE-GAN and BAT-Fill for image outpainting, and evaluated SimpleBaseline for pet pose estimation. Our experimental results show that pet pose estimation on outpainted images generated using BAT-Fill outperforms the existing methods of pose estimation on outpainting-less input image.

Effectiveness Analysis on the Coherence and Time for Synthetic Aperture Sonar (코히어런스 영향과 시간에 따른 실측 데이터의 합성 효과 실험)

  • Kang Hyun-Woo
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.4
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    • pp.172-177
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    • 2006
  • Various research and development on Synthetic Aperture Sonar technique is under way to enhance bearing resolution of a SONAR system. In this paper, we estimated perturbed array shapes, and compensated distortion by using estimated away shapes and synthesized arrays in aperture domain such as an ETAM technique. As experimental data, we used the one obtained from towed array in neighboring waters of the Korean peninsula. Through simulation on data where tow-ship speed is maintained at a constant level, we confirmed that synthesis effect of increasing SNR and narrowed beam width of main lobe was consistently demonstrated for about 1 minute when coherence of target signal was maintained. Also, we showed that the synthesis effect with respect to time was constantly maintained.

Experimental Analysis of Lunar Rover Wheel's Mobility Performance Depending on Soil Condition and Wheel Configuration (지반 조건 및 휠 형상에 따른 달탐사 로버 휠 주행 성능 평가 실험 연구)

  • Wang, Cheng-Can;Kim, Seok-Jung;Han, Jin-Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.4
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    • pp.693-703
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    • 2017
  • Rover wheel's mobility depends on soil's condition and wheel's design. The purpose of this study is to evaluate the effect of soil conditions, which are Jumunjin sand and Korean lunar soil simulant (KLS-1), on wheel's motion performance. The experiments were performed by using a single wheel testbed with a wheel which grouser height is 15mm on Jumunjin sand and KLS-1, respectively. Also the influence of grouser length to wheel's mobility performance was studied. The experimental results of torque, drawbar pull and sinkage relating to slip ratio were discussed and analyzed to evaluate wheel's motion performance. Results showed wheel moving on KLS-1 has high performance than Jumunjin sand. Wheel's mobility performance was influenced by soil's properties of cohesion and frictional angle. In addition, wheel's performance of drawbar pull and Torque increased with the increasing of grouser length.

Analysis of Traction Performance for Agricultural Tractor According to Soil Condition (토양 조건에 따른 농업용 트랙터의 견인 성능 분석)

  • Lee, Nam Gyu;Kim, Yong Joo;Baek, Seung Min;Moon, Seok Pyo;Park, Seong Un;Choi, Young Soo;Choi, Chang Hyun
    • Journal of Drive and Control
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    • v.17 no.4
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    • pp.133-140
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    • 2020
  • Traction performance of a tractor varies depending on soil conditions. Sinkage and slip of the driving wheel for tractor frequently occur in a reclaimed land. The objective of this study was to develop a tractor suitable for a reclaimed land. Traction performance was evaluated according to soil conditions of reclaimed land and paddy field. Field experiments were conducted at two test sites (Fields A: paddy field; and Field B: reclaimed land). The tractor load measurement system was composed of an axle rotation speed sensor, a torque meter, a six-component load cell, GPS, and a DAQ (Data Acquisition System). Soil properties including soil texture, water content, cone index, and electrical conductivity (EC) were measured. Referring to previous researches, the tractor traveling speed was set to B3 (7.05 km/h), which was frequently used in ridge plow tillage. Soil moisture contents were 33.2% and 48.6% in fields A and B, respectively. Cone index was 2.1 times higher in field A than in field B. When working in the reclaimed land, slip ratios were about 10.5% and 33.1% for fields A and B, respectively. The engine load was used almost 100% of all tractors under the two field conditions. Traction powers were 31.9 kW and 24.2 kW for fields A and B, respectively. Tractive efficiencies were 83.3% and 54.4% for fields A and B, respectively. As soil moisture increased by 16.4%, the tractive efficiency was lowered by about 28.9%. Traction performance of tractor was significantly different according to soil conditions of fields A and B. Therefore, it is necessary to improve the traction performance of tractor for smooth operations in all soil conditions including a reclaimed land by reflecting data of this study.

Recognition of dog's front face using deep learning and machine learning (딥러닝 및 기계학습 활용 반려견 얼굴 정면판별 방법)

  • Kim, Jong-Bok;Jang, Dong-Hwa;Yang, Kayoung;Kwon, Kyeong-Seok;Kim, Jung-Kon;Lee, Joon-Whoan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.1-9
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    • 2020
  • As pet dogs rapidly increase in number, abandoned and lost dogs are also increasing in number. In Korea, animal registration has been in force since 2014, but the registration rate is not high owing to safety and effectiveness issues. Biometrics is attracting attention as an alternative. In order to increase the recognition rate from biometrics, it is necessary to collect biometric images in the same form as much as possible-from the face. This paper proposes a method to determine whether a dog is facing front or not in a real-time video. The proposed method detects the dog's eyes and nose using deep learning, and extracts five types of directional face information through the relative size and position of the detected face. Then, a machine learning classifier determines whether the dog is facing front or not. We used 2,000 dog images for learning, verification, and testing. YOLOv3 and YOLOv4 were used to detect the eyes and nose, and Multi-layer Perceptron (MLP), Random Forest (RF), and the Support Vector Machine (SVM) were used as classifiers. When YOLOv4 and the RF classifier were used with all five types of the proposed face orientation information, the face recognition rate was best, at 95.25%, and we found that real-time processing is possible.

A Study on the Design of Controller for Speed Control of the Induction Motor in the Train Propulsion System-1 (열차추진시스템에서 유도전동기의 속도제어를 위한 제어기 설계에 대한 연구-1)

  • Lee, Jung-Ho;Kim, Min-Seok;Lee, Jong-Woo
    • Journal of the Korean Society for Railway
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    • v.13 no.2
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    • pp.173-178
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    • 2010
  • Electric railroad systems consist of supply system of electric power and electric locomotive. The electric locomotive is adapted to high speed driving and mass transportation due to obtaining high traction force. The electric locomotive is operated by motor blocks and traction motors. Train speed is controlled by suppling power from motor blocks to traction motors according to reference speed. Speed control of the electric locomotive is efficient by spending minimum energy between motor blocks and traction motors. Recently, induction motors have been used than DC and synchronized motors as traction motors. Speed control of induction motors are used by vector control techniques. In this paper, speed of the induction motor is controlled by using the vector control technique. Control system model is presented by using Simulink. Pulse is controlled by PI and hysteresis controller. IGBT inverter is used for real-time control and system performance is demonstrated by simulating the induction motor which has 210[kW] on the output power.