This paper presented a new technique for electrical detection of single nanoparticle in a cylindrical solid-state nanopore by measuring the blockage ionic current change. Both numerical and analytical models were deve...
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This paper presented a new technique for electrical detection of single nanoparticle in a cylindrical solid-state nanopore by measuring the blockage ionic current change. Both numerical and analytical models were developed to simulate and optimize the electrical responses of the device when a single particle was passing through the nanopore. The effects of different nanopore geometries on nanoparticle detection performance were discussed, which could provide guidelines for the device fabrications and nanoparticle detection applications.
In this paper, a model free based sliding mode control (MFSMC) is developed to realize the attitude control of a quadrotor whose model contains the system uncertainties and external disturbances. Firstly, a model free...
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In this paper, a model free based sliding mode control (MFSMC) is developed to realize the attitude control of a quadrotor whose model contains the system uncertainties and external disturbances. Firstly, a model free based intelligent PD controller (iPD) which contains time-delay estimation is designed. The problem is that although the proposed design of the controller does not need to know the system model, but it exists the unknown dynamics estimation error. Then for the considered problem, the MFSMC is proposed. This referred controller which consists of three parts: the equivalent control law, exponent reaching law and correction control law, ensures the trajectories tracking. Finally, the proposed MFSMC method is validated on the quadrotor with system uncertainties and external disturbances and compared with classic PD and iPD control. The corresponding simulation results demonstrate the effectiveness and performance of the MFSMC controller against the controllers of iPD and PD.
The development of radar technology is a serious threat to the stealth of aircraft. To decrease the radar cross section(RCS) and enhance the stealth ability of targets, the absorber can be used. Based on graphene in t...
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The development of radar technology is a serious threat to the stealth of aircraft. To decrease the radar cross section(RCS) and enhance the stealth ability of targets, the absorber can be used. Based on graphene in this paper, a broadband absorber is proposed. The absorption rate of the proposed absorber is more than 90% in the 2.1-9.0GHz range with the relative bandwidth of 123%. Moreover, it has the microwave absorbing properties of polarization insensitive and wide incident angle range.
Based on graphene, this paper proposes a configuration of a bandwidth broadened pattern-reconfigurable antenna. The antenna is a monopole surrounded by a cylindrical graphene-based impedance surface coating, and the r...
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Based on graphene, this paper proposes a configuration of a bandwidth broadened pattern-reconfigurable antenna. The antenna is a monopole surrounded by a cylindrical graphene-based impedance surface coating, and the radiation pattern is dynamically controlled via graphene’s field effect by applying adequate bias voltages. This antenna can work in the directional mode over the entire azimuth plane or omnidirectional mode;correspondingly, its relative bandwidth can reach 67% and 50% respectively by the coupling of graphene-based impedance surface coating.
This paper proposes a novel reversible data-hiding scheme utilizing two steganographic images. The proposed method is able to hide more secret messages than other messages by studying the characters of embedded messag...
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This paper proposes a novel reversible data-hiding scheme utilizing two steganographic images. The proposed method is able to hide more secret messages than other messages by studying the characters of embedded messages. We transformed the form of the secret message byte from 8 binary bits to 7-base digits, which was departed to 3-digit planes to allow for hiding more secret messages through use of an extensional key matrix M*. The horizontal and vertical coordinate of the key matrix M* ranges are from 0 to 255. Therefore, we use the pixel pairs in a cover image to help hide secret message bytes in the method proposed. In key matrix M*, a point can be located by a horizontal coordinate and a vertical coordinate, which are the exact paired pixels. After embedding data by using the coordinates in the key matrix and then obtaining two stego images, we can recover the cover image after extracting the embedded data. Experiments show that the method proposed can hide more pixels in an image and recover the image accurately with only a tiny decrease in image quality.
Diagnosis of mild Traumatic Brain Injury (mTBI) is difficult due to the variability of obvious brain lesions using imaging scans. A promising tool for exploring potential biomarkers for mTBI is magnetoencephalography ...
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ISBN:
(纸本)9781509018185
Diagnosis of mild Traumatic Brain Injury (mTBI) is difficult due to the variability of obvious brain lesions using imaging scans. A promising tool for exploring potential biomarkers for mTBI is magnetoencephalography which has the advantage of high spatial and temporal resolution. By adopting proper analytic tools from the field of symbolic dynamics like Lempel-Ziv complexity, we can objectively characterize neural network alterations compared to healthy control by enumerating the different patterns of a symbolic sequence. This procedure oversimplifies the rich information of brain activity captured via MEG. For that reason, we adopted neural-gas algorithm which can transform a time series into more than two symbols by learning brain dynamics with a small reconstructed error. The proposed analysis was applied to recordings of 30 mTBI patients and 50 normal controls in δ frequency band. Our results demonstrated that mTBI patients could be separated from normal controls with more than 97% classification accuracy based on high complexity regions corresponding to right frontal areas. In addition, a reverse relation between complexity and transition rate was demonstrated for both groups. These findings indicate that symbolic complexity could have a significant predictive value in the development of reliable biomarkers to help with the early detection of mTBI.
This paper is presented a sliding model control (SMC) based intelligent PID method for a variable speed-constant frequency wind turbine system. This method regards power fluctuation which it is affected by the turbine...
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ISBN:
(纸本)9781479983193
This paper is presented a sliding model control (SMC) based intelligent PID method for a variable speed-constant frequency wind turbine system. This method regards power fluctuation which it is affected by the turbine wind or other factors as disturbance. This controller has two components. Firstly, an intelligent PID controller is designed by estimating the disturbance and compensating them online. Further more, in order to decrease the effect of error estimation, an extra sliding model controller is designed for compensating it. This method has been tested by a 5MW wind turbine system by Matlab/Simulink platform. The results confirm that the proposed method is powerful for the active power and is superior in the respond time.
Least Square (LS) estimation is a simple but not good enough for localization method which is widely used for target position estimation. The time difference of arrival (TDOA) location based on LS method needs to sele...
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ISBN:
(纸本)9781479958368
Least Square (LS) estimation is a simple but not good enough for localization method which is widely used for target position estimation. The time difference of arrival (TDOA) location based on LS method needs to select a reference sensor to obtain a series of equations. Thus, the measured error of the selected first sensor will certainly influence the location accuracy. In our article, an algorithm based on select the primary sensor is proposed, which selects the primary station according the residual. New algorithm improves performs better than conventional method in harsh environment. Simulation shows that the location precise of new algorithm is much better than the other NLOS mitigation methods.
Ovarian cancer (OVC) is one of the deadliest cancers in women. At present, effective clinical therapy for OVC is still limited. We adopted a computational method to identify OVC candidate genes based on subnetwork ext...
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This paper deals with the problem of state and faults estimation for nonlinear uncertain systems described by Takagi Sugeno structures (named multiple models). In this work, only actuator are considered, they are cons...
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This paper deals with the problem of state and faults estimation for nonlinear uncertain systems described by Takagi Sugeno structures (named multiple models). In this work, only actuator are considered, they are considered as unknown inputs. The state and faults estimation is made using a structure of sliding mode observer where an integral term is added. This structure of observer is named proportional integral sliding mode observer. The integral term permits the fault estimation. The observer convergence conditions are formulated in LMI form allowing to compute the observer gains. The proposed proportional integral sliding mode observer is applied in the case of a numerical example showing the efficiency of the fault and state estimation.
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