• Title/Summary/Keyword: Pass Network

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Crop Control by Using Neural Network in Edger Mill (신경망을 이용한 Edger압연 크롭저감 연구)

  • 천명식;장대섭;이준정
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.08a
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    • pp.438-446
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    • 1999
  • Crop minimization of the top and bottom ends of hot rolled plate, in a plate, in a plate mill, has been investigated. The existing model to determine the edging pattern at the finishing rolling pass was not reasonable to get high width accuracy and rolling yields. New models including width prediction have been formulated by using neural network model of back propagation learning algorithm and statistical analysis based on the actual production rolling data to give the optimal pattern for minimizing trimming loss. Using these models, at a given rolling condition of broadside pass and finishing pass and the permissible condition of width variation, it was possible to minimize crip at the top and bottom ends according to optimum procedure in plate mill. An application to improve the plan view pattern reduced width variation by 23% and crop length by 30% on average with an effective fishtail crop shape.

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A ladder type 8th-order elliptic low-pass filter using transadmittance amplifiers (트랜스어드미턴스 증폭기를 이용한 사다리형 8차 일립틱 저역-통과 여파기)

  • 김종필;박지만;정원섭
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.8
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    • pp.42-51
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    • 1998
  • An 8th-order elliptic low-pass filter with cutoff frequency of 3.13kHz is presented. The design procedure is based on teh 1/s impedance transformation which is applied to a minimum capacitor LC ladder network.The tranformed network is implemented with resistors and high Q frequency-dependent negative resistors (FDNR's). The high Q FDNR is realized with two transadmittance amplifiers. Detailed SPICE simulations show that the iflter has pass-band ripple of 0.18dB, stop-band attenuation over 100dB, cutoff frequency of 3.13 khz, and cutoff frequency temperature coefficient of 8.5ppm/.deg. C at supply voltage of .+-.5V.

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Comparative Analysis of Low-pass Microstrip Filter Performances for Two Different Dielectric Materials

  • Samah Khmailia;Abdelkader MAMI
    • International Journal of Computer Science & Network Security
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    • v.24 no.7
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    • pp.118-122
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    • 2024
  • The dielectric material is a basic element which impacts considerably on a microstrip structure performances. This project demonstrates how filter performances such as gain, bandwidth, return loss and insertion loss change proportionally with substrate material variation. The RT/Duroid 5880 and the FR-4 are two dielectric materials proposed as substrates of a low pass microstrip filter. The design and simulation are done on ADS software. The transmission and reflection characteristics show that the RT/ Duroid 5880 as a dielectric substrate permits to obtain better performance as compared to the FR-4 substrate.

An Exploratory Study on Developing Asian Rail Pass linking Korea, China and Japan (아시아레일패스 개발을 위한 탐색적 연구)

  • Yang, You-Kyung;Lee, Kyung-Tae;Yin, Tae-Myoung
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.801-812
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    • 2009
  • Recently, the cooperation between railway operators has been increased to maximize the efficiency of Asian railway network and international tourists, especially tourists to Asian region grow rapidly. But the cooperation in the rail tourism and leisure field has not yet been promoted. Therefore, this study suggests the development strategy of Asian Rail Pass like Eurail and InetRail Pass. It discusses mainly three Northeast Asian countries, Korea, China and Japan, which are very important area as the third world trade market and high rate of personal exchange. A joint research has to be conducted to feel out the practicability and profitability for the development of Asian Rail Pass. This study will publicize the necessity of Rail Pass in Asia.

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High Pass Filter Design Using Folded Coplanar Waveguide CRLH Transmission Line

  • Yang, Lei;Yang, Doo-Yeong
    • International Journal of Contents
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    • v.11 no.3
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    • pp.63-68
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    • 2015
  • A novel unit cell for a high pass filter was designed based on a composite right/left-handed structure that uses a folded coplanar waveguide. The equivalent circuit model for the unit cell was extracted from the geometry of the unit cell, and the effect of each main parameter of the unit cell was analyzed. The equations to calculate the immittance values of the equivalent circuit elements were formulated, and moreover, the dispersion characteristics and energy the distributions of the electromagnetic fields were simulated to determine the characteristics of the composite right/left-handed structure. Finally, the high pass filters were implemented as a series of the proposed unit cells. We show that the experimental results were in good agreement with those obtained from the simulation. Thus, the high pass filter was found to achieve a baseband insertion loss of 3 dB and a stopband attenuation of 70 dB.

A Study on the Diplexer Switch of High Isolation Using Varactor Diode (바랙터 다이오드를 이용한 높은 격리도를 갖는 DIPLEXER 스위치에 관한 연구)

  • Kang Myung-Soo;Park Jun-Seok
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.54 no.4
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    • pp.178-184
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    • 2005
  • In this paper, using diplexer structure and varactor diode controlled by reverse bias voltage for diplexer switch gives possibilities to improve isolation and current characteristics. 1 have newly designed switch with high isolation by application varactor diode corresponding to capacitor of diplexer. The low-pass filter for proposed tunable diplexer passes the microwave signal in the bandwidth for wireless cellular network systems and high-pass filter passes it in the bandwidth for wireless personal communication services (PCS) network systems. As the capacitance of the low-pass filter increases, the cut-off frequency can be moved to low frequency, so that the switch is on state in cellular bandwidth and off state in the PCS bandwidth, in contrast to, as the capacitance for attenuation characteristic of high-pass filter increases, it can be moved to high frequency, so that the switch is off state and on state in the cellular bandwidth. it is possible to improve isolation and current consumption characteristics by application diplexer design methods and varactor diode. 1 expect that the tunable diplexer circuit and design methods should be able to find applications on MMIC and low temperature copired ceramic (LTCC).

Active Vibration Control of A Time-Varying Cantilever Beam Using Band Pass Filters and Artificial Neural Network (신경회로망과 능동대역필터를 이용한 시변 외팔보 능동 진동제어)

  • Hamm, Gil;Rhee, Huinam;Yoon, Doo Byung;Han, Soon Woo;Park, Jin Ho
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2014.10a
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    • pp.353-354
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    • 2014
  • An active vibration control technique of a time-varying cantilever beam is proposed in this study. A simple in-house coil sensor instead of expensive commercial sensors was used to measure the vibrational displacement of the beam. Active band pass filters and artificial neutral net works detect the frequencies, amplitudes, and phases of the main vibration mode. The time constants of the low pass filter representing the positive position feedback controller are updated in real-time, which generates the control voltage input to actuate the piezoelectric actuator and suppress the vibration. An experiment was successfully performed to verify the algorithm for a cantilever beam, which fundamental natural frequency arbitrarily varies between 9 Hz ~ 18 Hz. The present active vibration suppression technique can be applied to variety of structures which undergoes large variation of dynamic characteristics while operating.

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Determination of High-pass Filter Frequency with Deep Learning for Ground Motion (딥러닝 기반 지반운동을 위한 하이패스 필터 주파수 결정 기법)

  • Lee, Jin Koo;Seo, JeongBeom;Jeon, SeungJin
    • Journal of the Earthquake Engineering Society of Korea
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    • v.28 no.4
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    • pp.183-191
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    • 2024
  • Accurate seismic vulnerability assessment requires high quality and large amounts of ground motion data. Ground motion data generated from time series contains not only the seismic waves but also the background noise. Therefore, it is crucial to determine the high-pass cut-off frequency to reduce the background noise. Traditional methods for determining the high-pass filter frequency are based on human inspection, such as comparing the noise and the signal Fourier Amplitude Spectrum (FAS), f2 trend line fitting, and inspection of the displacement curve after filtering. However, these methods are subject to human error and unsuitable for automating the process. This study used a deep learning approach to determine the high-pass filter frequency. We used the Mel-spectrogram for feature extraction and mixup technique to overcome the lack of data. We selected convolutional neural network (CNN) models such as ResNet, DenseNet, and EfficientNet for transfer learning. Additionally, we chose ViT and DeiT for transformer-based models. The results showed that ResNet had the highest performance with R2 (the coefficient of determination) at 0.977 and the lowest mean absolute error (MAE) and RMSE (root mean square error) at 0.006 and 0.074, respectively. When applied to a seismic event and compared to the traditional methods, the determination of the high-pass filter frequency through the deep learning method showed a difference of 0.1 Hz, which demonstrates that it can be used as a replacement for traditional methods. We anticipate that this study will pave the way for automating ground motion processing, which could be applied to the system to handle large amounts of data efficiently.

Intelligent Air Quality Sensor System with Back Propagation Neural Network in Automobile

  • Lee, Seung-Chul;Chung, Wan-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.468-471
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    • 2005
  • The Air Quality Sensor(AQS), located near the fresh air inlet, serves to reduce the amount of pollution entering the vehicle cabin through the HVAC(heating, ventilating, and air conditioning) system by sending a signal to close the fresh air inlet door/ventilation flap when the vehicle enters a high pollution area. One chip sensor module which include above two sensing elements, humidity sensor and bad odor sensor was developed for AQS (air quality sensor) in automobile. With this sensor module, PIC microcontroller was designed with back propagation neural network to reduce detecting error when the motor vehicles pass through the dense fog area. The signal from neural network was modified to control the inlet of automobile and display the result or alarm the situation. One chip microcontroller, Atmega128L (ATmega Ltd., USA) was used. For the control and display. And our developed system can intelligently detect the bad odor when the motor vehicles pass through the polluted air zone such as cattle farm.

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Improving the Algorithm of a Diffusion Filter U sing a Difference Network and Quantitative Analysis of Band Pass Characteristics (차분망을 이용한 확산필터 알고리즘의 개선 및 대역통과특성의 정량적 분석)

  • 허만택;남기곤;김재창;이종혁;김길중;윤태훈;박의열
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.7
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    • pp.163-172
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    • 1996
  • Recently, it was reported that gaussian distribution and difference of two gaussians (DOG) to have band pass characteristics can be generated by simple iterative processes of the diffusion networks. In this paper, we propose method of improved implementation of a diffusion filter which can reduce total runing time, and operate by simple algorithm in contrast to the latest diffusion filter. We rebuild the diffusion network to a difference network which can generate DOG independently. Different filter characteristics are obtained just by each diffusion process and difference process. Quantitative analysis shows that the center frequency and the selectivity of each filter channel can be varied independently. Also, it would requires smaller amount of hardwares than conventioanl method to build a filter bank.

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