Automated mining of packet signatures for traffic identification at application layer with apriori algorithm by LIU Xing-bin1, YANG Jian-hua1, XIE Gao-gang1, HU Yue1

“…The identification rate, accuracy rate, positive identifi-cation error rate and negative identification error rate have been verified with experiment on some traces to valid the mined signatures.…”
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Impedance Characteristic-Based Frequency-Domain Parameter Identification Method for Photovoltaic Controllers by Yujia Tang, Xin Zhou, Yihua Zhu, Junzhen Peng, Chao Luo, Li Zhang, Jinling Qi

“…The maximum identification error of other intelligent algorithms was 5%, with a difference of less than 1% compared to the proposed method. …”
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Online Identification of Aerodynamic Parameters of Experimental Rockets Based on Unscented Kalman Filtering by Xiaobin Tang, Zhenyu Jiang

“…Numerical simulation, hardware-in-the-loop (HIL) simulation, and flight tests were conducted. The identification error of aerodynamic force in numerical simulation and HIL simulation is within 2%. …”
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System Identification Using Multilayer Differential Neural Networks: A New Result by J. Humberto Pérez-Cruz, A. Y. Alanis, José de Jesús Rubio, Jaime Pacheco

“…On the basis of this modification and by using a Lyapunov-like analysis, a stronger result is here demonstrated: the exponential convergence of the identification error to a bounded zone. Besides, a value for upper bound of such zone is provided. …”
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Research on corrosion defect identification and risk assessment of well control equipment based on a machine learning algorithm by He Zhang, Jiangna Cao, Haibo Liang, Gang Cheng

“…In recent years, the risk assessment of well control equipment has faced some problems, such as shallow defect detection depth, large identification error of corrosion defect type, inaccurate equipment corrosion assessment, and so on. …”
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Identification of nonlinear structural parameters based on particle filtering algorithm by Dandan Xia, Wanghua Yu, Li Lin

“…As the number of particles increases, the identification error decreases; however, this also leads to increase of simulation time. …”
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Adaptive control of time-invariant systems with discrete delays subject to multiestimation by M. De la Sen, S. Alonso

“…A multiestimation scheme is used to improve the identification error and then to deal with possible errors between the true basic delays compared to that used in the regressor of the adaptive scheme. …”
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A Quick Identification Method of AC andDC Power Supply Systems for Electric Locomotive by ZOU Donghai, GAN Weiwei, GUO Wei, LIN Zhenjun, HUANG Hao, ZHOU Yang, CHEN Ke

“…Taking the power supply system with AC 25 kV and DC 3 kV as an example, this paper proposes a method to quickly identify AC and DC power supply systems of electric locomotive, which overcomes the issues such as identification error and time consuming of manual identification, the impact of communication interruption and high cost of network pressure detection device identification. …”
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Dual-parameter identification based on model reference adaptive system for five-phase induction motor by Xinguo HOU, Xiangyu LUO, Xuan TU

“…When encountering abrupt changes in stator resistance under transient load conditions, the identification error remains below 5%, showing errors of 8.7% at half-load and 13.7% at full-load.…”
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Research on coal-rock boundary identification based on the morphological sobel algorithm by Guohui Chen, Yilai Wang, Shengwei Song, Wenhua Yang

“…The experimental results show that the boundaries identified by the morphological Sobel algorithm have the best degree of overlap with the boundaries of the original image. The identification error area is only about 10% of the Sobel operator and Canny operator algorithm. …”
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Adaptive prescribed performance estimator for Hammerstein-like system identification based on quantized observations and its application by Huijie Lei, Yanwei Zhang, Xikun Lu

“…Secondly, the identification error transformation is used to obtain a new system by transforming the raw system such that a constraint condition is avoided. …”
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Measuring. Monitoring. Management. Control by G.I. Kozyrev, E.O. Yuditskikh

“…A detailed description is given of the two main components of the total TUE error: the identification error caused by the difference between the real TUE operator and its nominal value due to the effect on the parameters of the real operator of a set of uncertain DFS, and the error in restoring the TUE input signal for the dynamic measurement mode. …”

Identification of Rotary Machines Excitation Forces Using Wavelet Transform and Neural Networks by Francisco Paulo Lepore, Marcelo Braga Santos, Rafael Gonçalves Barreto

“…The performance of several neural network with different input database sets is analyzed to define the best network architecture in the sense to achieve successful training, minimum identification error, with maximum probability to give the correct answers. …”
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Adaptive robust anti-disturbance attitude control for quadrotors by LI Tongshuai, CHEN Longsheng, PENG Yun, SHI Tongxin, JIN Feiyu

“…The black box problem of RBFNN is solved by using a model identification error and a tracking error as decision variables. …”
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The Impact of Probe Angle and Swivel Length on Contact Point Identification in Coordinate Measuring Machine Measurements: A Case Study by Tomasz Mazur, Tomasz Szymanski, Waldemar Samociuk, Miroslaw Rucki, Tomasz Ryba

“…This contact point identification error will have a certain effect on the best fitting element and subsequent calculations and on the respective measurement results.…”
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Large-scale combinatorial optical barcoding of cells with laser particles by Nicola Martino, Hao Yan, Geoffrey Abbott, Marissa Fahlberg, Sarah Forward, Kwon-Hyeon Kim, Yue Wu, Han Zhu, Sheldon J. J. Kwok, Seok-Hyun Yun

“…We introduce a theoretical framework for estimating the number of LPs required for unique barcodes and the expected identification error rate. Additionally, we present an improved LP-tagging method that is highly effective across a variety of cell types and evaluate its biocompatibility. …”
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Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System by Shengqi Huang, Yuanwei Zhang, Lei Shi, Yuqing Huang, Bin Chang

“…Additionally, the proposed method addressed the identification error caused by rank deficiency. Experimental validation confirmed the effectiveness of the proposed method.…”
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Intelligent Identification Method of Wind Farm Sub-synchronous/Super-synchronous Oscillation Parameters Based on RA-CNN and Synchrophasor by Youwen LU, Hao CUI, Jianing CHEN, Xiangjia PENG, Shuang FENG, Dong LIU

“…In addition, it can avoid the identification error caused by the subjective factors of the traditional method and reduce the complexity of oscillation parameter identification.…”
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HiTS: Hierarchical Text-Guided Stylization for Face Sketch-to-Photo Synthesis by Yeji Choi, Haksub Kim, Kwanghoon Sohn, Ig-Jae Kim

“…A major challenge is ensuring accurate color representation in synthesized images to avoid identification error caused by mismatched skin or eye color. …”
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Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum by Changxiong Ning, Fei Hu, Wu Ouyang, Xinpin Yan, Dongling Xu

“…Ultimately, the results demonstrate that the thickness identification error of this method is approximately 1%, and in-situ monitoring ability will be realized in the future, which is of great significance to the life prediction of bearings.…”
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