• Title/Summary/Keyword: Processing Energy

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Efficient Energy Management for Pyro-processing of Solids - (1) Heat & Mass Balance and Evaluation (고체 고온공정에서 효율적 에너지 관리 - (1) 공정 열정산 및 평가 방법)

  • Ha, Daeseung;Choi, Sangmin
    • Journal of the Korean Society of Combustion
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    • v.21 no.1
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    • pp.18-30
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    • 2016
  • Pyro-process of solids is the way to heat solid materials under high temperature. In this processing, energy efficient use is one of the main concerns due to its high energy consumption of bulk materials. To calculate the energy use of processes, heat & mass balance in simplified 0-dimensional model was performed. Energy calculation by this simplified model can lead to confusion due to simplification. Thus, it is necessary to understand considerations of energy analysis. In this study, cement manufacturing as a very common example of pyro-processing of solids, was introduced for explaining considerations of energy analysis for energy efficient use.

Development of the ultra-high speed electric injection molding machine using the energy regeneration method (에너지 회생 기법을 사용한 초고속 전동 사출성형기 개발)

  • Yu, Hyeon-Jae;Yoo, Sung-Chul;Hyun, Chang-Hoon;Park, Kyoung-Ho
    • Design & Manufacturing
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    • v.10 no.2
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    • pp.1-5
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    • 2016
  • High-speed and high-torque performance is required in the ultra-high speed electric injection molding machine field. To implement this performance, the big-size inverter is needed and the corresponding converter should be used. In this case, the whole cost for configuring the system will be increased. In this paper, we introduce a method which is able to reduce the energy and the cost for configuring the system using the energy regeneration. The energy regeneration method is based on reusing the regeneration power generated at the electric motor during decelerating the injection motion. In this paper, we demonstrate the effectiveness of the method by using the ultra-high speed injection motion.

Robust Energy Efficiency Power Allocation for Uplink OFDM-Based Cognitive Radio Networks

  • Zuo, Jiakuo;Dao, Van Phuong;Bao, Yongqiang;Fang, Shiliang;Zhao, Li;Zou, Cairong
    • ETRI Journal
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    • v.36 no.3
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    • pp.506-509
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    • 2014
  • This paper studies the energy efficiency power allocation for cognitive radio networks based on uplink orthogonal frequency-division multiplexing. The power allocation problem is intended to minimize the maximum energy efficiency measured by "Joule per bit" metric, under total power constraint and robust aggregate mutual interference power constraint. However, the above problem is non-convex. To make it solvable, an equivalent convex optimization problem is derived that can be solved by general fractional programming. Then, a robust energy efficiency power allocation scheme is presented. Simulation results corroborate the effectiveness of the proposed methods.

Study on Enhancement of Data Processing Algorithm in SaaS Cloud Infrastructure to Monitor Wind Turbine Condition (풍력발전기 상태 감시를 위한 SaaS 클라우드 인프라 내 데이터 처리 알고리즘 개선 연구)

  • Lee, Gwang-Se;Choi, Jungchul;Kang, Minsang;Park, Sail;Lee, JinJae
    • New & Renewable Energy
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    • v.16 no.1
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    • pp.25-30
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    • 2020
  • In this study, an SW for the analysis of the wind-turbine vibration characteristics was developed as an application of SaaS cloud infrastructure. A measurement system for power-performance, mechanical load, and gearbox vibration as type-test class was installed at a target MW-class wind turbine, and structural meta and raw data were then acquired into the cloud. Data processing algorithms were developed to provide cloud data to the SW. To operate the SW continuously, raw data was downloaded consistently based on the algorithms. During the SW test, an intermittent long time-delay occurred due to the communication load associated with frequent access to the cloud. To solve this, a compression service for the target raw data was developed in the cloud and more stable data processing was confirmed. Using the compression service, stable big data processing of wind turbines, including gearbox vibration analysis, is expected.

A Study on a Pipe Griping Method for the Image Processing based Griper (영상처리 기반 그리퍼의 파이프 파지 방법에 대한 연구)

  • Choi, You-Rak;Lee, Jae-Cheol;Kim, Seong-Ho;Kim, Jae-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.540-542
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    • 2012
  • 카메라를 탑재한 파이프 등반용 로봇의 매니퓰레이터가 카메라 영상을 이용하여 파이프를 파지하기 위해서는 파이프의 영상처리와 매니퓰레이터의 관절각 계산 알고리즘이 필요하다. 본 논문에서는 이를 위한 방법과 구현에 대하여 기술한다.

Processing Alarms in DYNAS: Basic Strategy

  • I. K. Hwang;Kim, J. T.;Lee, D. Y.;N. J. Na;S. J. Song;Park, J. C.;K. C. Kwon;C. S. Ham
    • Proceedings of the Korean Nuclear Society Conference
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    • 1995.10a
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    • pp.147-152
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    • 1995
  • During transients or major upsets, operators of a nuclear power plant are faced with a significant amount of information which oftentimes exceeds their capability of processing information in such a time-critical situation. To help resolve this problem of information overload, considerable work is underway worldwide to improve its man-machine interface systems (MMISs). The I&C research team of KAERI is developing a DYNamic Alarm processing System, called DYNAS, to suppress unnecessary or nuisance alarms, and at the same time, emphasize vital information. This paper describes our basic strategy to process alarms in DYNAS.

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Signal processing method of bubble detection in sodium flow based on inverse Fourier transform to calculate energy ratio

  • Xu, Wei;Xu, Ke-Jun;Yu, Xin-Long;Huang, Ya;Wu, Wen-Kai
    • Nuclear Engineering and Technology
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    • v.53 no.9
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    • pp.3122-3125
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    • 2021
  • Electromagnetic vortex flowmeter is a new type of instrument for detecting leakage of steam generator, and the signal processing method based on the envelope to calculate energy ratio can effectively detect bubbles in sodium flow. The signal processing method is not affected by changes in the amplitude of the sensor output signal, which is caused by changes in magnetic field strength and other factors. However, the detection sensitivity of the electromagnetic vortex flowmeter is reduced. To this end, a signal processing method based on inverse Fourier transform to calculate energy ratio is proposed. According to the difference between the frequency band of the bubble noise signal and the flow signal, only the amplitude in the frequency band of the flow signal is retained in the frequency domain, and then the flow signal is obtained by the inverse Fourier transform method, thereby calculating the energy ratio. Using this method to process the experimental data, the results show that it can detect 0.1 g/s leak rate of water in the steam generator, and its performance is significantly better than that of the signal processing method based on the envelope to calculate energy ratio.

Parametric Study of Picosecond Laser Hole Drilling for TSV (피코초 레이저의 공정변수에 따른 TSV 드릴링 특성연구)

  • Shin, Dong-Sig;Suh, Jeong;Kim, Jeng-O
    • Laser Solutions
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    • v.13 no.4
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    • pp.7-13
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    • 2010
  • Today, the most common process for generating Through Silicon Vias (TSVs) for 3D ICs is Deep Reactive Ion Etching (DRIE), which allows for high aspect ratio blind holes with low surface roughness. However, the DRIE process requires a vacuum environment and the use of expensive masks. The advantage of using lasers for TSV drilling is the higher flexibility they allow during manufacturing, because neither vacuum nor lithography or masks arc required and because lasers can be applied even to metal and to dielectric layers other than silicon. However, conventional nanosecond lasers have the disadvantage of causing heat affection around the target area. By contrast, the use of a picosecond laser enables the precise generation of TSVs with less heat affected zone. In this study, we conducted a comparison of thermalization effects around laser-drilled holes when using a picosecond laser set for a high pulse energy range and a low pulse energy range. Notably, the low pulse energy picosecond laser process reduced the experimentally recast layer, surface debris and melts around the hole better than the high pulse energy process.

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Energy-Efficiency Power Allocation for Cognitive Radio MIMO-OFDM Systems

  • Zuo, Jiakuo;Dao, Van Phuong;Bao, Yongqiang;Fang, Shiliang;Zhao, Li;Zou, Cairong
    • ETRI Journal
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    • v.36 no.4
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    • pp.686-689
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    • 2014
  • This paper studies energy-efficiency (EE) power allocation for cognitive radio MIMO-OFDM systems. Our aim is to minimize energy efficiency, measured by "Joule per bit" metric, while maintaining the minimal rate requirement of a secondary user under a total power constraint and mutual interference power constraints. However, since the formulated EE problem in this paper is non-convex, it is difficult to solve directly in general. To make it solvable, firstly we transform the original problem into an equivalent convex optimization problem via fractional programming. Then, the equivalent convex optimization problem is solved by a sequential quadratic programming algorithm. Finally, a new iterative energy-efficiency power allocation algorithm is presented. Numerical results show that the proposed method can obtain better EE performance than the maximizing capacity algorithm.