• Title/Summary/Keyword: Selective operation

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A Cooperative Transmission Scheme Based on Alamouti Coding for Cognitive Radio Networks Over Frequency Selective Fading Channels (주파수 선택적 페이딩 채널에서 안치 무선 통신을 위한 Alamouti 코딩 기반 협력 전송 기법)

  • Kang, Seung-Goo;Kim, Jun-Hwan;Baek, Jee-Hyeon;Yoon, Seok-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.6C
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    • pp.403-411
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    • 2011
  • This paper addresses a cooperative transmission scheme based on Alamouti coding for cognitive radio networks over frequency selective fading channels. In the proposed scheme, the Alamouti coded form at the destination node is constructed through a simple combination of symbols at the source node, instead of the time-reversal operation and the conjugate operation at the relay nodes used in the conventional scheme. Numerical results show that the proposed scheme achieves a higher order cooperative diversity than that of the conventional scheme.

Development of a Decision Support System for Turbid Water Management through Joint Dam Operation

  • Kim, Jeong-Kon;Ko, Ick-Hwan;Yoo, Yang-Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.31-39
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    • 2007
  • In this study we developed a turbidity management system to support the operation for effective turbid water management. The decision-making system includes various models for prediction of turbid water inflow, effective reservoir operation using the selective withdrawal facility, analysis of turbid water discharge in the downstream. The system is supported by the intensive monitoring devices installed in the upstream rivers, reservoirs, and downstream rivers. SWAT and HSPF models were constructed to predict turbid water flows in the Imha and Andong catchments. CE-QUAL-W2 models were constructed for turbid water behavior prediction, and various analyses were conducted to examine the effects of the selective withdrawal operation for efficient high turbid water discharge, turbid water distribution under differing amount and locations of turbid water discharge. A 1-dimensional dynamic water quality model was built using Ko-Riv1 for simulation of turbidity propagation in the downstream of the reservoirs, and 2-dimensional models were developed to investigate the mixing phenomena of two waters discharged from the Andong and Imha reservoirs with different temperature and turbidity conditions during joint dam operation for reducing the impacts of turbid water.

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A Modified Selective Ground Relay for Ungrounded Distribution Systems

  • Nam Soon-Ryul;Kang Sang-Hee;Park Jong-Keun
    • Journal of Electrical Engineering and Technology
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    • v.1 no.1
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    • pp.16-22
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    • 2006
  • Selective ground relays (SGRs) are useful fur distinguishing a faulted feeder from the sound feeders in ungrounded systems. However, they sometimes mis-operate due to human or device errors. Particularly, the reversed polarity of zero-sequence current transducers (ZCTs) is the most frequent cause of mis-operation. This paper presents a modified SGR for reducing the probability of mis-operations caused by the reversed polarity of ZCTs. The modification is achieved by introducing an adaptive time delay, which depends on the magnitude of the zero-sequence current and the phase angle deviation from the reference. The modified SGR was successfully demonstrated on a sample ungrounded system without mis-operation.

Indoor localization algorithm based on WLAN using modified database and selective operation (변형된 데이터베이스와 선택적 연산을 이용한 WLAN 실내위치인식 알고리즘)

  • Seong, Ju-Hyeon;Park, Jong-Sung;Lee, Seung-Hee;Seo, Dong-Hoan
    • Journal of Advanced Marine Engineering and Technology
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    • v.37 no.8
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    • pp.932-938
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    • 2013
  • Recently, the Fingerprint, which is one of the methods of indoor localization using WLAN, has been many studied owing to robustness about ranging error by the diffraction and refraction of radio waves. However, in the signal gathering process and comparison operation for the measured signals with the database, this method requires time consumption and computational complexity. In order to compensate for these problems, this paper presents, based on proposed modified database, WLAN indoor localization algorithm using selective operation of collected signal in real time. The proposed algorithm reduces the configuration time and the size of the data in the database through linear interpolation and thresholding according to the signal strength, the localization accuracy, while reducing the computational complexity, is maintained through selective operation of the signals which are measured in real time. The experimental results show that the accuracy of localization is improved to 17.8% and the computational complexity reduced to 46% compared to conventional Fingerprint in the corridor by using proposed algorithm.

Boolean Operation of Non-manifold Model with the Data Structure of Selective Storage (선택저장 자료구조를 이용한 복합다양체 모델의 불리언 작업)

  • 유병현;한순흥
    • Korean Journal of Computational Design and Engineering
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    • v.5 no.4
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    • pp.293-300
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    • 2000
  • The non-manifold geometric modeling technique is to improve design process and to Integrate design, analysis, and manufacturing by handling mixture of wireframe model, surface model, and solid model in a single data structure. For the non-manifold geometric modeling, Euler operators and other high level modeling methods are necessary. Boolean operation is one of the representative modeling method for the non-manifold geometric modeling. This thesis studies Boolean operations of non-manifold model with the data structure of selective storage. The data structure of selective storage is improved non-manifold data structure in that existing non-manifold data structures using ordered topological representation method always store non-manifold information even if edges and vortices are in the manifold situation. To implement Boolean operations for non-manifold model, intersection algorithm for topological cells of three different dimensions, merging and selection algorithm for three dimensional model, and Open Inventor(tm), a 3D toolkit from SGI, are used.

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An Experimental Study on Operation Setting Optimization of Circuit Breaker for Improving Safety on DC Railroad Feeder System (직류철도 급전계통의 안전성 향상을 위한 차단기 동작 최적 설정의 실험적 고찰)

  • Lee, Jae-Bong;Jung, No-Geon;Kim, Jae-Moon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.3
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    • pp.526-531
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    • 2016
  • This paper presents an experimental study on the optimal settings for the selected DC fault relay (50F) to improve the operating performance for the high-speed circuit breaker on DC feeding system which ensure safety within rolling stock maintenance depot. In this study, current supplied to overhead contact wire was calculated on 1 ms interval to analyze the correction values of DC fault selective relay for the operation of current supply cutout. Particularly, standards for the accurate detection of accidents between an electric railway vehicle and the electric power facilities are shown by investigating the optimal correction values for detection of fault current, and the results indicated that it takes about 213 ms for the DC fault selective relay(50F) to fully open. In the future, the correction values of DC fault selective relay suggested in this paper will be used as the reference values of protective relay for the safe operation of DC electric railroad system such as urban railway.

Parallel Control of Shunt Active Power Filters in Capacity Proportion Frequency Allocation Mode

  • Zhang, Shuquan;Dai, Ke;Xie, Bin;Kang, Yong
    • Journal of Power Electronics
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    • v.10 no.4
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    • pp.419-427
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    • 2010
  • A parallel control strategy in capacity proportion frequency allocation mode for shunt active power filters (APFs) is proposed to overcome some of the difficulties in high power applications. To improve the compensation accuracy and overall system stability, an improved selective harmonic current control based on multiple synchronous rotating reference coordinates is presented in a single APF unit, which approximately implements zero steady-state error compensation. The combined decoupling strategy is proposed and theoretically analyzed to simplify selective harmonic current control. Improved selective harmonic current control forms the basis for multi-APF parallel operation. Therefore, a parallel control strategy is proposed to realize a proper optimization so that the APFs with a larger capacity compensate more harmonic current and the ones with a smaller capacity compensate less harmonic current, which is very practical for accurate harmonic current compensation and stable grid operation in high power applications. This is verified by experimental results. The total harmonic distortion (THD) is reduced from 29% to 2.7% for a typical uncontrolled rectifier load with a resistor and an inductor in a laboratory platform.

A Four-Channel Laser Array with Four 10 Gbps Monolithic EAMs Each Integrated with a DBR Laser

  • Sim, Jae-Sik;Kim, Sung-Bock;Kwon, Yong-Hwan;Baek, Yong-Soon;Ryu, Sang-Wan
    • ETRI Journal
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    • v.28 no.4
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    • pp.533-536
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    • 2006
  • A distributed Bragg reflector (DBR) laser and a high speed electroabsorption modulator (EAM) are integrated on the basis of the selective area growth technique. The typical threshold current is 4 to 6 mA, and the side mode suppression ratio is over 40 dB with single mode operation at 1550 nm. The DBR laser exhibits 2.5 to 3.3 mW fiber output power at a laser gain current of 100 mA, and a modulator bias voltage of 0 V. The 3 dB bandwidth is 13 GHz. A 10 Gbps non-return to zero operation with 12 dB extinction ratio is obtained. A four-channel laser array with 100 GHz wavelength spacing was fabricated and its operation at the designed wavelength was confirmed.

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A Study on Machine Learning Algorithms based on Embedded Processors Using Genetic Algorithm (유전 알고리즘을 이용한 임베디드 프로세서 기반의 머신러닝 알고리즘에 관한 연구)

  • So-Haeng Lee;Gyeong-Hyu Seok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.2
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    • pp.417-426
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    • 2024
  • In general, the implementation of machine learning requires prior knowledge and experience with deep learning models, and substantial computational resources and time are necessary for data processing. As a result, machine learning encounters several limitations when deployed on embedded processors. To address these challenges, this paper introduces a novel approach where a genetic algorithm is applied to the convolution operation within the machine learning process, specifically for performing a selective convolution operation.In the selective convolution operation, the convolution is executed exclusively on pixels identified by a genetic algorithm. This method selects and computes pixels based on a ratio determined by the genetic algorithm, effectively reducing the computational workload by the specified ratio. The paper thoroughly explores the integration of genetic algorithms into machine learning computations, monitoring the fitness of each generation to ascertain if it reaches the target value. This approach is then compared with the computational requirements of existing methods.The learning process involves iteratively training generations to ensure that the fitness adequately converges.

A Study on Characteristic of NO Reduction by High Level O2Gas in Selective Non-Catalystic Reaction (High Level O2배가스중 NO 저감에 대한 선택적비촉매환원 반응특성에 관한 연구)

  • 이강우;정종현;오광중
    • Journal of Environmental Science International
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    • v.11 no.6
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    • pp.577-582
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    • 2002
  • Selective catalytic reduction and selective non-catalytic reduction processes are mainly used to treat nitrogen oxidants generated from fossil-fuel combustion. Especially, the selective non-catalytic reduction process can be operated more economical and designed more simply than the selective catalytic reduction. For this reason, many researchers carried out to increase the removal efficiency of nitrogen oxidants in the condition of low oxygen concentration by using the selective non-catalytic reduction process. However, this study was flue gas contained high oxygen concentration of 20(v/v%) with ammonia as a reducing agent. Moreover, it carried out experiment with many factors that are reaction temperature, retention time, initial NO concentration, NSR(normalized stoichiometric ratio). It was determined optimal operating conditions to improve NO removal efficiency with SNCR process. The De-NOx efficiency was increased with NSR, initial NO concentration and retention time increasement. This study has NO removal efficiency over 80% in the high oxygen concentration as well as low oxygen concentration. The injection of reducing agent may be considered for SNCR process and facility operation in 850$\^{C}$ of optimal condition.