With high flexibility, conductivity and transparency, metal nanotroughs (NTRs) are considered to be the most promising candidates for flexibility transparent electrode. Here, we report metal NTR films fabricated by el...
With high flexibility, conductivity and transparency, metal nanotroughs (NTRs) are considered to be the most promising candidates for flexibility transparent electrode. Here, we report metal NTR films fabricated by electro-spun and thermal evaporation. By optimizing steam treatment time, copper-silver ratio, coverage rate, and transfer process, smooth and continuous metal NTR films were obtained. The Cu/Ag NTR-polyacrylonitrile (PAN) film displayed superior photoelectric properties: transmitted 94.4 % of visible light (550 nm), showed a low sheet resistance of 2.48 Ω/□ and a very high quality factor of 2.27 × 10 −1 (Ω/□) −1 . Meanwhile, the relative change rate of resistance was less than 0.002 under a bending radius of 5 mm after 10,000 cycles. The results indicate that composite metal nanotroughs provide a new way for the preparation of high performance flexible transparent electrode.
The current research mainly focuses on the flow control for the two-stage proportional valve with hydraulic position feedback which is named as Valvistor ***,the Valvistor valve is a proportional throttle valve and th...
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The current research mainly focuses on the flow control for the two-stage proportional valve with hydraulic position feedback which is named as Valvistor ***,the Valvistor valve is a proportional throttle valve and the flow fluctuates with the change of load *** flow fluctuation severely restricts the application of the Valvistor *** this paper,a novel flow control method the Valvistor valve is provided to suppress the flow fluctuation and develop a high performance proportional flow *** mathematical model of this valve is established and *** proportional-integral-derivative(PID)controller is adopted in the closed-loop flow control *** feedback is obtained by the flow inference with back-propagation neural network(BPNN)based on the spool displacement in the pilot stage and the pressure differential across the main *** results show that inference with BPNN can obtain the flow data fast and *** the flow control method,the flow can keep at the set point when the pressure differential across the main orifice *** flow control method is effective and the Valvistor valve changes from proportional throttle valve to proportional flow *** the developed proportional flow valve,the settling time of the flow is very short when the load pressure changes *** performances of hysteresis,linearity and bandwidth are in a high *** linear mathematical model can be verified and the assumptions in the system modeling is reasonable.
Introducing purely nonlinear elastic elements can induce rich dynamic behaviors, such as bifurcations, jumps and isolated resonance curves, to linear systems. Therefore, these elements are suitable for constructing st...
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We study the optical bistability (OB) in a three-mode cavity optomechanical system, where an oscillating membrane of perfect reflection is inserted between two fixed mirrors of partial transmission. By investigating...
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We study the optical bistability (OB) in a three-mode cavity optomechanical system, where an oscillating membrane of perfect reflection is inserted between two fixed mirrors of partial transmission. By investigating the behavior of steady state solutions, we find that the left and right cavities will exhibit the bistable behavior simultaneously in this optomechanical system by adjusting the left and right coupling fields. In addition, one can control the OB threshold and the width of the OB curve via adjusting the coupling strength, the detuning, and the decay rate. Moreover, we further illustrate the OB appearing in the cavity by the effective potential as a function of the position.
Dynamic states in mutual-coupled mid-infrared quantum cascade lasers(QCLs) were numerically investigated in the parameter space of injection strength and detuning frequency based on the Lang-Kobayashi equations model....
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Dynamic states in mutual-coupled mid-infrared quantum cascade lasers(QCLs) were numerically investigated in the parameter space of injection strength and detuning frequency based on the Lang-Kobayashi equations model. Three types of period-one states were found, with different periods of injection time delay τ_(inj), 2τ_(inj), and reciprocal of the detuning frequency. Besides, square-wave, quasi-period, pulse-burst and chaotic oscillations were also observed. It is concluded that external-cavity periodic dynamics and optical modes beating are the mainly periodic dynamics. The interaction of the two periodic dynamics and the high-frequency dynamics stimulated by strong injection induces the dynamic states *** work helps to understand the dynamic behaviors in QCLs and shows a new way to mid-infrared wide-band chaotic laser.
We design a hybrid integrated chaotic semiconductor laser with short-cavity optical *** can be assembled in a commercial butterfly shell with just three *** of them is coated by a transflective film to provide the opt...
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We design a hybrid integrated chaotic semiconductor laser with short-cavity optical *** can be assembled in a commercial butterfly shell with just three *** of them is coated by a transflective film to provide the optical feedback for chaos generation while insuring regular laser *** prove the feasibility of the chaos generation in this compact structure and provide critical external parameters for the fabrication by theoretical *** than the usual changeless internal parameters used in previous simulation research,we extract the real parameters of the chip by ***,the maps of the largest Lyapunov exponent with varying bias current and feedback intensity Kap demonstrate the dynamic characteristics under different external-cavity *** laser chip has its own optimal external cavity length(L)and feedback intensity(Kap)to generate chaos because of the different internal *** have acquired two ranges of optimal parameters(L=4 mm,0.12〈Kap〈0.2 and L=5 mm,0.07〈Kap〈0.12)for two different chips.
A two-color continuous wave(CW) discharge-pumped far-infrared(FIR) hydrogen cyanide(HCN) laser was developed as the source of an interferometer for measuring the line-averaged electron density in the Experimenta...
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A two-color continuous wave(CW) discharge-pumped far-infrared(FIR) hydrogen cyanide(HCN) laser was developed as the source of an interferometer for measuring the line-averaged electron density in the Experimental advanced Superconducting Tokamak(EAST). The output power of the dual laser system was about 120 m W from each laser on the 337 μm(0.89 THz)line. The polarization of each output beam was fixed using thin tungsten filaments and oscillated in the EH11 mode. Different megahertz intermediate frequencies(IF) and a slight frequency offset(~1 MHz) were generated in this system to replace the traditional rotating grating with~10 k Hz IF, and this can improve the time resolution of the interferometer significantly. The experimental result showed that different IF signals were obtained by successfully adjusting the cavity length. In particular, the beat frequency was captured at ~1.3 MHz by a Schottky mixer when the length of the resonant cavities was changed by 5 μm by an automatic adjustment system. In order to study the character of IF, a long time record of the IF signal was carried out,and the IF signal could be stabilized for a few minutes in the range of 2 MHz to 3 MHz. A realtime IF stability controlsystem was initially designed for long pulse discharge experiments on the EAST. The ~MHz frequency response and good phase sensitivity of the dual laser HCN interferometer will allow the system to track fast density profiles and resolve fast MHD events,such as tearing/neoclassical tearing, disruptions, etc.
To address the incomplete problem in pulmonary parenchyma segmentation based on the traditional methods, a novel automated segmentation method based on an eight- neighbor region growing algorithm with left-right scann...
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To address the incomplete problem in pulmonary parenchyma segmentation based on the traditional methods, a novel automated segmentation method based on an eight- neighbor region growing algorithm with left-right scanning and four-corner rotating and scanning is proposed in this pa- per. The proposed method consists of four main stages: image binarization, rough segmentation of lung, image denoising and lung contour refining. First, the binarization of images is done and the regions of interest are extracted. After that, the rough segmentation of lung is performed through a general region growing method. Then the improved eight-neighbor region growing is used to remove noise for the upper, mid- dle, and bottom region of lung. Finally, corrosion and ex- pansion operations are utilized to smooth the lung boundary. The proposed method was validated on chest positron emis- sion tomography-computed tomography (PET-CT) data of 30 cases from a hospital in Shanxi, China. Experimental results show that our method can achieve an average volume overlap ratio of 96.21 ± 0.39% with the manual segmentation results. Compared with the existing methods, the proposed algorithm segments the lung in PET-CT images more efficiently and ac- curately.
intelligent fault diagnosis in modern mechanical equipment maintenance is increasingly adopting deep learning ***,conventional bearing fault diagnosis models often suffer from low accuracy and unstable performance in ...
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intelligent fault diagnosis in modern mechanical equipment maintenance is increasingly adopting deep learning ***,conventional bearing fault diagnosis models often suffer from low accuracy and unstable performance in noisy environments due to their reliance on a single input ***,this paper proposes a dual-channel convolutional neural network(DDCNN)model that leverages dual data *** DDCNN model introduces two key ***,one of the channels substitutes its convolution with a larger kernel,simplifying the structure while addressing the lack of global information and shallow ***,the feature layer combines data from different sensors based on their primary and secondary importance,extracting details through small kernel convolution for primary data and obtaining global information through large kernel convolution for secondary *** experiments conducted on two-bearing fault datasets demonstrate the superiority of the two-channel convolution model,exhibiting high accuracy and robustness even in strong noise ***,it achieved an impressive 98.84%accuracy at a Signal to Noise Ratio(SNR)of−4 dB,outperforming other advanced convolutional models.
We present a high-sensitivity and high-resolution birefringence coefficient determination system for nm-level membrane films based on weak measurement, addressing the sensitivity-resolution trade-off. A tunable bandwi...
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