• Title/Summary/Keyword: Line: identification

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Off-Line Parameter Identification of Permanent Magnet Synchronous Motor Using a Goertzel Algorithm

  • Yoon, Jae-Seung;Lee, Kyoung-Gu;Lee, June-Seok;Lee, Kyo-Beum
    • Journal of Electrical Engineering and Technology
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    • v.10 no.6
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    • pp.2262-2270
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    • 2015
  • Generally, internal parameters of the motors and generators can be divided to the resistance and inductance components. They can become a cause of the changing internal parameters because they have sensitive characteristics due to external conditions. The changed parameters can generate the outputs which include error values from the speed and current controllers. Also, it can bring the temperature increase and mechanical damage to the system. Therefore, internal parameters of the motors and generators need to obtain their values according to the external conditions because it can prevent the mechanical damage caused by the changed parameters. In this paper, the off-line parameter identification method is verified using the Goertzel algorithm. The motor used in the simulation and experiments is an interior permanent magnet synchronous motor (IPMSM), and the proposed algorithm is verified by the simulation and experimental results.

On-line Identification of Rotor Resistance for Sensorless Induction Motors Using Variable Rotor Flux (가변 회전자 자속 지령에 의한 센서리스 유도전동기의 회전자 저항 실시간 동정)

  • Lee Zhen-Guo;Jeong Seok-Kwon
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.54 no.2
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    • pp.101-109
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    • 2005
  • The newly developed speed sensorless control scheme is proposed to estimate both motor speed and rotor resistance simultaneously using variable rotor flux. The rotor flux is given as sinusoidal waveform with an amplitude and a frequency without affecting precise torque control. Especially the proposed method makes the simultaneous estimation of rotor resistance and speed with high precision even though at the low speed area including a few rpm. Moreover, on-line identification of rotor resistance can be performed simply without calculating troublesome trigonometric functions and complicated integral computation. Therefore, the proposed system can be accomplished by using very cheap microprocessors for several applications. The results of the numerical simulations and experiments demonstrate that this method is effective to estimate the speed and on-line identification of rotor resistance for sensorless induction motors.

Identification of OH emission lines from IGRINS sky spectra and improved sky subtraction method

  • Lee, Jae-Joon
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.72.2-72.2
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    • 2019
  • The hydroxyl radical (OH) sky emission lines arise from the Earth's mesosphere, and they serve as a major source of the sky background in the infrared. With IGRINS, the observed line strength show non-negligible variation even within a few minutes of time scale, making its subtraction difficult. Toward the aim better sky subtraction in the IGRINS pipeline, we present 1) improved identification of sky lines in H and K band and 2) improved method of subtracting sky background. Using the recent line list of Brooke et al. (2015), we have detected ~500 OH doublets from upper vibrational level between 2 and 9 and maximum upper J level of 25. In particular, we found that a significant fraction of unidentified lines reported by Oliva et al. (2015) are indeed OH lines resulting from transitions between different F levels. With the extended line identification, we present an improved method of sky subtraction. The method, based on the method of Noll et al. (2014), empirically accounts non-LTE level population of OH molecules.

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The Effect of Consumers' Brand Identification of Fashion Luxury Product on Brand Affect and Brand Loyalty (패션명품에 대한 소비자의 브랜드 동일시가 브랜드 감정과 브랜드 충성도에 미치는 영향)

  • Kim Soo-Jin;Chung Myung-Sun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.7 s.155
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    • pp.1126-1134
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    • 2006
  • The purpose of this study was to examine the effect of brand identification of fashion luxury product on brand loyalty and the mediating effect of brand affect. The questionnaire developed through the literature search and a survey was conducted both in on-line and off-line questionnaire simultaneously. Finally 227 data from women who had a buying experience of fashion luxury products were analyzed using frequency, factor analysis, ANOVA, t-test, regression analysis by SPSS for WIN program. The results were as follows. First, the consumers' brand identification was composed of three factors; actual, ideal, social. Second, the brand identification significantly influenced on the brand loyalty. Third, the brand identification significantly influenced on the brand affect. Fourth, the brand affect significantly influenced on the brand loyalty. Fifth, the brand identification had both direct and indirect effects on brand loyalty mediated by brand affect. The results indicated that causal relationship was existed among these three variables.

A completely non-contact recognition system for bridge unit influence line using portable cameras and computer vision

  • Dong, Chuan-Zhi;Bas, Selcuk;Catbas, F. Necati
    • Smart Structures and Systems
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    • v.24 no.5
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    • pp.617-630
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    • 2019
  • Currently most of the vision-based structural identification research focus either on structural input (vehicle location) estimation or on structural output (structural displacement and strain responses) estimation. The structural condition assessment at global level just with the vision-based structural output cannot give a normalized response irrespective of the type and/or load configurations of the vehicles. Combining the vision-based structural input and the structural output from non-contact sensors overcomes the disadvantage given above, while reducing cost, time, labor force including cable wiring work. In conventional traffic monitoring, sometimes traffic closure is essential for bridge structures, which may cause other severe problems such as traffic jams and accidents. In this study, a completely non-contact structural identification system is proposed, and the system mainly targets the identification of bridge unit influence line (UIL) under operational traffic. Both the structural input (vehicle location information) and output (displacement responses) are obtained by only using cameras and computer vision techniques. Multiple cameras are synchronized by audio signal pattern recognition. The proposed system is verified with a laboratory experiment on a scaled bridge model under a small moving truck load and a field application on a footbridge on campus under a moving golf cart load. The UILs are successfully identified in both bridge cases. The pedestrian loads are also estimated with the extracted UIL and the predicted weights of pedestrians are observed to be in acceptable ranges.

One Pass Identification processing Password-based

  • Park, Byung-Jun;Park, Jong-Min
    • Journal of information and communication convergence engineering
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    • v.4 no.4
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    • pp.166-169
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    • 2006
  • Almost all network systems provide an authentication mechanism based on user ID and password. In such system, it is easy to obtain the user password using a sniffer program with illegal eavesdropping. The one-time password and challenge-response method are useful authentication schemes that protect the user passwords against eavesdropping. In client/server environments, the one-time password scheme using time is especially useful because it solves the synchronization problem. In this paper, we present a new identification scheme: OPI(One Pass Identification). The security of OPI is based on the square root problem, and OPI is secure: against the well known attacks including pre-play attack, off-line dictionary attack and server comprise. A number of pass of OPI is one, and OPI processes the password and does not need the key. We think that OPI is excellent for the consuming time to verify the prover.

Fault Location for Incomplete-Journey Double-Circuit Transmission Lines on Same Tower Based on Identification of Fault Branch

  • Wang, Shoupeng;Zhao, Dongmei;Shang, Liqun
    • Journal of Electrical Engineering and Technology
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    • v.12 no.5
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    • pp.1754-1763
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    • 2017
  • This paper analyses the characteristics of incomplete-journey double-circuit transmission lines on the same tower formed by single-circuit lines and double-circuit lines, and then presents a fault location algorithm based on identification of fault branch. With the relationship between the three-phase system and the double-circuit line system, a phase-mode transformation matrix for double-circuit lines can be derived. Based on the derived matrix, the double-circuit lines with faults can be decoupled, and then the fault location for an incomplete-journey double-circuit line is achieved by using modal components in the mode domain. The algorithm is divided into two steps. Firstly, the fault branch is identified by comparing the relationships of voltage amplitudes at the bonding point. Then the fault location, on the basis of the identification result, is calculated by using a two-terminal method, and only the fault distance of the actual fault branch can be obtained. There is no limit on synchronization of each terminal sampling data. The results of ATP-EMTP simulation show that the proposed algorithm can be applied within the entire line and can accurately locate faults in different fault types, fault resistances, and fault distances.

Radar Target Recognition Using a Fusion of Monostatic/Bistatic ISAR Images (모노스태틱/바이스태틱 ISAR 영상 융합을 통한 표적식별 연구)

  • Cha, Sang-Bin;Yoon, Se-Won;Hwang, Seok-Hyun;Kim, Min;Jung, Joo-Ho;Lim, Jin-Hwan;Park, Sang-Hong
    • The Journal of Korean Institute of Information Technology
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    • v.16 no.12
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    • pp.93-100
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    • 2018
  • Inverse Synthetic Aperture Radar(ISAR) image is 2-dimensional radar cross section distributions of a target. For target approaching along radar's line of sight(LOS), the bistatic ISAR can compensate for the weakness of the monostatic ISAR which can not obtain the vertical resolution of the image. However, bistatic ISAR have longer processing times and variability in scattering mechanisms than monostatic ISAR, so target identification using only bistatic ISAR images can be inefficient. Therefore, this paper analyzes target identification performance using monostatic and bistatic ISAR images of targets approaching along radar's LOS and proposes a method of target identification through fusion of two radars. Simulation results demonstrate that identification performance through fusion is more efficient than identification performance using only monostatic, bistatic ISAR images.

Study about Power Transformer Identification Method based on Power Line Communication Technology (전력선 통신 기법을 활용한 변압기 식별 방법에 대한 고찰)

  • Byun, Hee-Jung;Choi, Sang-jun;Shon, Sugoog
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.1006-1009
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    • 2015
  • Power-line communication technology is proposed to identify power transformers to serve customers in 3 phase -4 wires power distribution systems. Mathematical models for 3-phase power transformers, 3-phase wire lines, and customer loads are described to investigate the transmission characteristics of high frequency power line carrier. From the analysis, distribution line cable circuits have only a limited ability to carry higher frequencies. Typically power transformers in the distribution system prevent propagating the higher frequency carrier signal. The proposed method uses the limited propagation ability to identify the power transformer to serve customers. A novel power transformer identification system is designed and implemented. The system consists of a transmitter and a receiver with power-line communication module. Some experiments are conducted to verify the theoretical concepts in a big commercial building. Also some simulations are done to help and understand the concepts by using MATLAB Simulink simulator.

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