• Title/Summary/Keyword: Peak performance

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Initial Performance Degradation of Hydrogen-Fueled Ceramic Fuel Cell with Plasma-Enhanced Atomic Layer-Deposited Ultra-Thin Electrolyte (플라즈마 원자층증착 초박막전해질 수소 세라믹연료전지의 초기성능 저하)

  • JI, SANGHOON
    • Journal of Hydrogen and New Energy
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    • v.32 no.5
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    • pp.340-346
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    • 2021
  • The initial electrochemical performance of ceramic fuel cell with thin-film electrolyte fabricated by plasma-enhanced atomic layer deposition method was evaluated in terms of peak power density ratio, open circuit voltage ratio, and activation/ohmic resistance ratios at 500℃. Hydrogen and air were used as anode fuel and cathode fuel, respectively. The peak power density ratio reduced as ~52% for 30 min, which continually decreased as time increased but degradation rate gradually decreased. The open circuit voltage ratio decreased with respect time; however, its behavior was evidently different from the reduction behavior of the peak power density. The activation resistance ratio increased as ~127% for 30 min, which was almost similar with the reduction behavior of the peak power density ratio.

A Study on Transient Grounding Performance of Ground Rods

  • Yun Dong-Hyeon;Lee Hyeong-Su;Lee Gwan Hyeong
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 2002.11a
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    • pp.281-285
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    • 2002
  • Although DC ground resistance is a good index of performance for a grounding system, it does not reflect the grounding performance during the transient states. Besides, impulse ground impedance, which is defined by a ratio of the peak value of transient ground potential rise to the peak value of impulse current, cannot be an absolute performance index due to its dependence on impulse current shape. In this paper, a grounding performance of needle-typed ground rod has been compared with simple ground rod using HIFREQ[1], which is an engineering electro-magnetic code based on MoM (Method of Moment).

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Statistical Analysis of the Performance Reliability Data for Stroke Patients (뇌졸중 환자 운동신뢰성 측정치의 통계적 분석)

  • Byun, Jae-Hyun;Lee, Seung-Mi
    • Journal of Applied Reliability
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    • v.16 no.1
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    • pp.64-70
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    • 2016
  • Purpose: The purpose of this study was to evaluate performance reliability of stroke patients using kinematic analysis. Methods: A protocol to evaluate performance reliability was performed for three tasks on 20 stroke patients and 10 normal people. The tasks include hand to head (HH) task, hand to mouth (HM) task, and hand to target (HT) task. Results: The affected arms showed smaller joint angle, slower peak velocity, longer time to peak velocity for task performances than control group. Also, slower peak velocity and longer movement time for task performance in unaffected arm of stroke patients were obtained compared with the control group. Conclusion: Kinematic analysis is very useful quantitative tool to provide understanding on upper extremity function of stroke patients.

A Study on the Peak cancellation Technique of OFDM considering of the HPA characteristic (HPA 특성을 고려한 OFDM의 Peak cancellation기법)

  • Lee, Seung-Sun;Oh, Tae-Won
    • Proceedings of the Korea Electromagnetic Engineering Society Conference
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    • 2005.11a
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    • pp.69-74
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    • 2005
  • The High Peak to Average Power Ratio (PAPR) could be a severe Problem in OFDM performance since it causes the significant distortion to the transmitting signal through a nonlinear device such as High Power Amplifier (HPA). In this paper, the performance of Peak cancellation method according to the HPA characteristic is comparatively analyzed with the clipping and windowing methods. The BER performances and the out-band power spectrums are demonstrated in detail.

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A Study on Peak Load Prediction Using TCN Deep Learning Model (TCN 딥러닝 모델을 이용한 최대전력 예측에 관한 연구)

  • Lee Jung Il
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.6
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    • pp.251-258
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    • 2023
  • It is necessary to predict peak load accurately in order to supply electric power and operate the power system stably. Especially, it is more important to predict peak load accurately in winter and summer because peak load is higher than other seasons. If peak load is predicted to be higher than actual peak load, the start-up costs of power plants would increase. It causes economic loss to the company. On the other hand, if the peak load is predicted to be lower than the actual peak load, blackout may occur due to a lack of power plants capable of generating electricity. Economic losses and blackouts can be prevented by minimizing the prediction error of the peak load. In this paper, the latest deep learning model such as TCN is used to minimize the prediction error of peak load. Even if the same deep learning model is used, there is a difference in performance depending on the hyper-parameters. So, I propose methods for optimizing hyper-parameters of TCN for predicting the peak load. Data from 2006 to 2021 were input into the model and trained, and prediction error was tested using data in 2022. It was confirmed that the performance of the deep learning model optimized by the methods proposed in this study is superior to other deep learning models.

Study on Evaluation of Degrease Performance on the Interface between Oil and Alloy (탈지 정도에 대한 방청유-금속 계면의 영향성 평가)

  • Choi, Wonyoung;Kim, Moonsu;Yoo, Hyeonseok;Song, Yeongyun;Jeong, Yong-Gyun;Choi, Jinsub
    • Journal of Surface Science and Engineering
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    • v.54 no.6
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    • pp.371-379
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    • 2021
  • The use of anti-corrosive oil (AC) is inevitable for production of industrial steels to prevent corrosion. The AC is degreased before application of steels, which crucially effects on final products, such as automobile, electricity etc. However, qualitative/quantitative evaluation of degreasing performance are steal insufficient. In this study, degreasing performance of anti-corrosive oil on steel have been studied through X-ray photon spectroscopy (XPS) and electrochemical impedance spectroscopy (EIS). Commercial automotive steels (AMS) are coated with 4 different anti-corrosive oils (namely AC1-AC4). In XPS, intensity of C1s peak remained after degreasing indirectly indicates incomplete degreasing. Thus, higher C1s peak intensity means less effective degreasing by degreasing agent. peak intensity of C1s peak shows opposite tendency of peak intensity of O1s. We found that EIS analysis is not applicable to mild steel (such as AMS1) due to corrosion during measurement. However, alloy steel can be fully analyzed by EIS and XPS depth profile.

Comparative analysis of commonly used peak calling programs for ChIP-Seq analysis

  • Jeon, Hyeongrin;Lee, Hyunji;Kang, Byunghee;Jang, Insoon;Roh, Tae-Young
    • Genomics & Informatics
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    • v.18 no.4
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    • pp.42.1-42.9
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    • 2020
  • Chromatin immunoprecipitation coupled with high-throughput DNA sequencing (ChIP-Seq) is a powerful technology to profile the location of proteins of interest on a whole-genome scale. To identify the enrichment location of proteins, many programs and algorithms have been proposed. However, none of the commonly used peak calling programs could accurately explain the binding features of target proteins detected by ChIP-Seq. Here, publicly available data on 12 histone modifications, including H3K4ac/me1/me2/me3, H3K9ac/me3, H3K27ac/me3, H3K36me3, H3K56ac, and H3K79me1/me2, generated from a human embryonic stem cell line (H1), were profiled with five peak callers (CisGenome, MACS1, MACS2, PeakSeq, and SISSRs). The performance of the peak calling programs was compared in terms of reproducibility between replicates, examination of enriched regions to variable sequencing depths, the specificity-to-noise signal, and sensitivity of peak prediction. There were no major differences among peak callers when analyzing point source histone modifications. The peak calling results from histone modifications with low fidelity, such as H3K4ac, H3K56ac, and H3K79me1/me2, showed low performance in all parameters, which indicates that their peak positions might not be located accurately. Our comparative results could provide a helpful guide to choose a suitable peak calling program for specific histone modifications.

Evaluation of seismic strengthening techniques for non-ductile soft-story RC frame

  • Karki, Prajwol;Oinam, Romanbabu M.;Sahoo, Dipti Ranjan
    • Advances in concrete construction
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    • v.9 no.4
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    • pp.423-435
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    • 2020
  • Open ground story (OGS) reinforced concrete (RC) buildings are vulnerable to the complete collapse or severe damages under seismic actions. This study investigates the effectiveness of four different strengthening techniques representing the local and global modifications to improve the seismic performance of a non-ductile RC OGS frame. Steel caging and concrete jacketing methods of column strengthening are considered as the local modification techniques, whereas steel bracing and RC shear wall systems are selected as the global strengthening techniques in this study. Performance-based plastic design (PBPD) approach relying on energy-balance concept has been adopted to determine the required design force demand on the strengthening elements. Nonlinear static and dynamic analyses are carried out on the numerical models of study frames to assess the effectiveness of selected strengthening techniques in improving the seismic performance of OGS frame.. Strengthening techniques based on steel braces and RC shear wall significantly reduced the peak interstory drift response of the OGS frame. However, the peak floor acceleration of these strengthened frames is amplified by more than 2.5 times as compared to that of unstrengthened frame. Steel caging technique of column strengthening resulted in a reasonable reduction in the peak interstory drift response without substantial amplification in peak floor acceleration of the OSG frame.

A Scalable Companding Function for Peak-to-Average Power Ratio Reduction in OFDM Systems (OFDM 시스템에서 PAPR 감소를 위한 스케일러블 컴팬딩 함수)

  • Lee, Ji-Hye;Wang, Jin-Soo;Park, Jea-Cheol;Kim, Yun-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.4C
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    • pp.401-407
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    • 2010
  • In this paper, we consider a low-complex companding technique for peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems. For the technique, we propose a novel companding function to compensate the problem of the conventional companding functions which are difficult to design complying with system requirements and deteriorate the bit error rate (BER) performance significantly. The proposed scalable companding function can provide an arbitrary value of the maximum PAPR with which the BER performance changes gracefully. In addition, the proposed companding function can be designed readily according to the PAPR and BER performance required by the system and is observed to provide better BER performance than the conventional clipping and $\mu$-low companding schemes under the similar PAPR condition.

A Study on the Timing Recovery using Peak Detector in Underwater Acoustic Communication (수중음향통신에서 Peak Detector를 갖는 시간동기회복에 관한 연구)

  • Han, Min-Su;Kim, Ki-Man
    • Journal of Navigation and Port Research
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    • v.36 no.5
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    • pp.371-378
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    • 2012
  • This paper presents a timing recovery method using Gardner TED (Timing Error Detector) with a Peak Detector using Parabola Peak Interpolation in underwater acoustic communication. This method will have an eye to improve phase converge speed of timing recovery and reduced amount of Tx data. The OQPSK(Offset Quadrature Phase Shift Keying) modulation technique was considered. The proposed algorithm has faster recovery speed and more accurate than Gardner TED because the sampling values in the proposed algorithm are moved persistingly to maximum or minimum point using parabolic peak interpolation. when simulation performed using Preposed method, it improved BER (Bit Error Rate) performance about 23% And to evaluate the performances of the proposed algorithm the sea trial was performed in the Korean East Sea. And distance of a transmitter-receiver is 3 km each other. As a result, the proposed algorithm outperforms better BER performance about 20% of timing recovery than the Gardner method. Also Proposed method improved converge speed of timing recovery about 1.4 times better than Gardner method.