Effect of PDL on the DOP feedback signal in PMD compensation

2006 ◽  
Vol 24 (2) ◽  
pp. 797-804 ◽  
Author(s):  
Lu Zhang ◽  
Qianggao Hu ◽  
Shengzhi Zhao ◽  
Shuihua Liu ◽  
Yuanzhong Xu
Keyword(s):  
Feedback Signal ◽  
Pmd Compensation

Effect of polarization dependent loss on the DOP feedback signal in PMD compensation

2006 ◽  
Author(s):  
Lu Zhang ◽  
Peng Song ◽  
Qianggao Hu ◽  
Shengzhi Zhao ◽  
Shan Jiang
Keyword(s):  
Feedback Signal ◽  
Polarization Dependent Loss ◽  
Pmd Compensation

Effect of chromatic dispersion and initial chirp on the DOP feedback signal in PMD compensation

2005 ◽  
Vol 17 (2) ◽  
pp. 342-344 ◽  
Author(s):  
Lu Zhang ◽  
Yuan Zhong Xu ◽  
Qiang Gao Hu ◽  
Sheng Zhi Zhao ◽  
Shui Hua Liu
Keyword(s):  
Chromatic Dispersion ◽  
Feedback Signal ◽  
Pmd Compensation

Theory and experiment of PMD compensation with DOP as feedback signal

2005 ◽  
Author(s):  
Lin Chen ◽  
Gao Y. Duan ◽  
Bo J. Yan ◽  
Ru Zhang ◽  
Li Yu ◽  
...  
Keyword(s):  
Feedback Signal ◽  
Pmd Compensation ◽  
Theory And Experiment

scholarly journals The impedance analysis of small intestine fusion by pulse source

2020 ◽  
Vol 15 (1) ◽  
pp. 808-818
Author(s):  
Yifan Wang ◽  
Kefu Liu ◽  
Xiaowei Xiang ◽  
Caihui Zhu ◽  
Hao Wang
Keyword(s):  
Small Intestine ◽  
Pressure Gauge ◽  
Equivalent Circuit Model ◽  
Impedance Measurement ◽  
Impedance Analysis ◽  
Duty Ratio ◽  
Feedback Signal ◽  
Pulse Source ◽  
Compression Pressure ◽  
Output Time

AbstractThe radiofrequency-induced intestine fusion has been widely studied as an alternative for traditional suture in surgery, but fusion quality cannot be evaluated directly. Impedance measurement can evaluate fusion quality, but the relation between impedance and the fusion quality needs optimization for best results. The present study reports the optimum resistance of small intestine fusion. As the feedback signal, resistance was considered the indicator of the fusion completion for the device design of intestine fusion and an in-depth study of microstructure change. A self-design pulse source was used for the small intestine fusion with adjustable voltage, duty ratio, frequency and output time. A frequency of 440 kHz was set, whereas voltage, output time and compression pressure (CP) of the small intestine were independent variables. Different conditions of voltage, CP and time were investigated for achieving the highest burst pressure (BP) measured with a pressure gauge and a peristaltic pump. Each parameter of the equivalent circuit model was calculated by an experimental waveform. Hematoxylin–eosin staining of fusion samples was used for assessing the quality of fusion. The real-time current was measured and recorded during the fusion for the calculation of capacitance and resistance. The highest BP of 38.9 mmHg was achieved with a CP of 900 kPa, a voltage of 50 V and a time of 5 s. Finally, an optimum extracellular resistance range of 61.0–86.2 Ω was found as the optimum resistance for the end of fusion, thus indicating automatic fusion with the best fusion quality.

scholarly journals Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Pak Kin Wong ◽  
Hang Cheong Wong ◽  
Chi Man Vong ◽  
Tong Meng Iong ◽  
Ka In Wong ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
Extreme Learning Machine ◽  
External Disturbance ◽  
Feedback Signal ◽  
Ratio Model ◽  
Control Performance ◽  
Machine Model ◽  
Target Values ◽  
Lambda Sensor ◽  
Learning Machine

Effective air-ratio control is desirable to maintain the best engine performance. However, traditional air-ratio control assumes the lambda sensor located at the tail pipe works properly and relies strongly on the air-ratio feedback signal measured by the lambda sensor. When the sensor is warming up during cold start or under failure, the traditional air-ratio control no longer works. To address this issue, this paper utilizes an advanced modelling technique, kernel extreme learning machine (ELM), to build a backup air-ratio model. With the prediction from the model, a limited air-ratio control performance can be maintained even when the lambda sensor does not work. Such strategy is realized as fault tolerance control. In order to verify the effectiveness of the proposed fault tolerance air-ratio control strategy, a model predictive control scheme is constructed based on the kernel ELM backup air-ratio model and implemented on a real engine. Experimental results show that the proposed controller can regulate the air-ratio to specific target values within a satisfactory tolerance under external disturbance and the absence of air-ratio feedback signal from the lambda sensor. This implies that the proposed fault tolerance air-ratio control is a promising scheme to maintain air-ratio control performance when the lambda sensor is under failure or warming up.

scholarly journals Turnover of the Active Fraction of IRS1 Involves Raptor-mTOR- and S6K1-Dependent Serine Phosphorylation in Cell Culture Models of Tuberous Sclerosis

2006 ◽  
Vol 26 (17) ◽  
pp. 6425-6434 ◽  
Author(s):  
O. Jameel Shah ◽  
Tony Hunter
Keyword(s):  
Cell Culture ◽  
Tuberous Sclerosis ◽  
High Speed ◽  
Serine Phosphorylation ◽  
Feedback Signal ◽  
Insulin Receptor Substrates ◽  
Igf I ◽  
Culture Models ◽  
Cell Culture Models

ABSTRACT The TSC1-TSC2/Rheb/Raptor-mTOR/S6K1 cell growth cassette has recently been shown to regulate cell autonomous insulin and insulin-like growth factor I (IGF-I) sensitivity by transducing a negative feedback signal that targets insulin receptor substrates 1 and 2 (IRS1 and -2). Using two cell culture models of the familial hamartoma syndrome, tuberous sclerosis, we show here that Raptor-mTOR and S6K1 are required for phosphorylation of IRS1 at a subset of serine residues frequently associated with insulin resistance, including S307, S312, S527, S616, and S636 (of human IRS1). Using loss- and gain-of-function S6K1 constructs, we demonstrate a requirement for the catalytic activity of S6K1 in both direct and indirect regulation of IRS1 serine phosphorylation. S6K1 phosphorylates IRS1 in vitro on multiple residues showing strong preference for RXRXXS/T over S/T,P sites. IRS1 is preferentially depleted from the high-speed pellet fraction in TSC1/2-deficient mouse embryo fibroblasts or in HEK293/293T cells overexpressing Rheb. These studies suggest that, through serine phosphorylation, Raptor-mTOR and S6K1 cell autonomously promote the depletion of IRS1 from specific intracellular pools in pathological states of insulin and IGF-I resistance and thus potentially in lesions associated with tuberous sclerosis.

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