Graphene-based all-solid-state supercapacitors the using ionic liquid gel polymer electrolyte have been fabricated and characterized. The gel polymer electrolyte has been prepared by immobilizing ionic liquid 1-butyl-...
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Graphene-based all-solid-state supercapacitors the using ionic liquid gel polymer electrolyte have been fabricated and characterized. The gel polymer electrolyte has been prepared by immobilizing ionic liquid 1-butyl-3-methylimidazolium tetrafluoroborate (BMIBF4) with poly(vinylidene fluoride-hexafluoropropylene). Cyclic voltammetry studies show highly capacitive behavior under fast scan rates. Impedance analysis show nominal charge transfer and ion diffusion at pores related resistance contributions. The graphene-based solid-state supercapacitor shows optimum capacitance of 80 mF cm-2 (equivalent to the single electrode specific capacitance of 76 F g-1). This corresponded to the specific energy of 7.4 Wh kg-1 and specific power of 4.5 kW kg-1. The supercapacitor cell shows stable cyclic performances for up to 5000 cycles and possibly beyond.
This paper presents some implementation details of a three-phase to three-phase matrix converter prototype. The bidirectional semiconductor switches were built using discrete IGBTs and fast diodes. Design aspects such...
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This paper presents some implementation details of a three-phase to three-phase matrix converter prototype. The bidirectional semiconductor switches were built using discrete IGBTs and fast diodes. Design aspects such as protection against overvoltage and short-circuit, commutation process of bi-directional switches, and input filter are addressed in this paper.
Owing to ship's high inertia, strong time lag, non-linearity and under-actuated characteristics, as well as sustaining external disturbances frequently, designing a high performance ship tracking controller is sti...
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Owing to ship's high inertia, strong time lag, non-linearity and under-actuated characteristics, as well as sustaining external disturbances frequently, designing a high performance ship tracking controller is still one of the most important research topics of ship motion control. Active Disturbance Rejection control (ADRC) is proved to be very effective control method because it is independent of mathematical model of the plant and can compensate the internal and external disturbances dynamically. This paper investigates the applications of ADRC in ship motion tracking control and presents the design method of ADRC controller appropriate for ship tracking control. Firstly, ship motion mathematical model is introduced briefly and the linear ADRC (LADRC) is analyzed. Then considering the nonlinear ship track design model as a third order plant after utilizing variable substitution, a LADRC controller is designed by using fourth order linear extended state observer (LESO). At last, the simulation is performed. Simulation results show that the controller has a good tracking performance and disturbance rejection ability and is robust to the ship motion nonlinear characteristic and the external disturbances. The tracking process is fast, smooth and minor energy consumption.
This paper deals with the fractional-order memristive, memcapacitative, and meminductive systems and their utilization in design of the new circuits with memory. We provide a mathematical description of such systems b...
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We propose a new game theoretic approach to estimate a binary random variable based on a vector of sensor measurements that may be corrupted by an adversary. The problem is formulated as a zero-sum partial information...
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ISBN:
(纸本)9781467320658
We propose a new game theoretic approach to estimate a binary random variable based on a vector of sensor measurements that may be corrupted by an adversary. The problem is formulated as a zero-sum partial information game in which a detector attempts to minimize the probability of error and an attacker attempts to maximize this probability. Explicit mixed policies are computed using the matrix form of the game and exploiting sensor symmetry to reduce complexity and find closed-form solutions.
In this paper,a robust distributed order PI controller design method is derived,which tolerates certain system *** theory and implementation of the distributed order operators are discussed in both time and frequency
In this paper,a robust distributed order PI controller design method is derived,which tolerates certain system *** theory and implementation of the distributed order operators are discussed in both time and frequency
The IEEE RAS Ontologies for Robotics and Automation Working Group is dedicated to developing a methodology for knowledge representation and reasoning in robotics and automation. As part of this working group, the Auto...
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How to remove detector side channel attacks has been a notoriously hard problem in quantum cryptography. Here, we propose a simple solution to this problem—measurement-device-independent quantum key distribution (QKD...
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How to remove detector side channel attacks has been a notoriously hard problem in quantum cryptography. Here, we propose a simple solution to this problem—measurement-device-independent quantum key distribution (QKD). It not only removes all detector side channels, but also doubles the secure distance with conventional lasers. Our proposal can be implemented with standard optical components with low detection efficiency and highly lossy channels. In contrast to the previous solution of full device independent QKD, the realization of our idea does not require detectors of near unity detection efficiency in combination with a qubit amplifier (based on teleportation) or a quantum nondemolition measurement of the number of photons in a pulse. Furthermore, its key generation rate is many orders of magnitude higher than that based on full device independent QKD. The results show that long-distance quantum cryptography over say 200 km will remain secure even with seriously flawed detectors.
Diffusion tensor magnetic resonance imaging (DTMRI) is a non-invasive method for investigating the brain white matter structure. It can be used to evaluate fiber bundles in the brain but in the regions with crossing f...
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ISBN:
(纸本)9781467331289
Diffusion tensor magnetic resonance imaging (DTMRI) is a non-invasive method for investigating the brain white matter structure. It can be used to evaluate fiber bundles in the brain but in the regions with crossing fibers, it fails. To resolve this problem, high angular resolution diffusion imaging (HARDI) with a large number of diffusion encoding directions is used and for reconstruction, the Q-ball method is applied. In this method, orientation distribution function (ODF) of fibers can be calculated. Mathematical models play a crucial role in the field of ODF. For instance, in registering Q-ball images for applications like group analysis or atlas construction, one needs to interpolate ODFs. To this end, principal diffusion directions (PDDs) of each ODF are needed. In this paper, PDDs are defined as vectors that connect the corresponding local maxima of ODF values. Then, ODFs are interpolated using PDDs. The proposed method is evaluated and compared with previous protocols. Experimental results show that the proposed interpolation algorithm preserves the principal direction of fiber tracts without producing any deviations in the tracts. It is shown that changes in the entropy of the interpolated ODFs are almost linear and the bloating effect (blurring of the principal directions) can be removed.
Nowadays cardiovascular diseases are one of the most major causes of mortality. Computed Tomography Angiography (CTA) is a very useful imaging tool for cardiovascular disease diagnosis. So it is important to analyze C...
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ISBN:
(纸本)9781467331289
Nowadays cardiovascular diseases are one of the most major causes of mortality. Computed Tomography Angiography (CTA) is a very useful imaging tool for cardiovascular disease diagnosis. So it is important to analyze CTA images well. This paper proposed a new method for fully automatic cardiovascular segmentation based on combination of Hough transform and region growing algorithm. It is a robust method which segments ascending aorta, descending aorta, and left ventricle concurrently. Comparing to the manual method which is done by cardiologist and previous automatic and semi-automatic works, our method is faster, more accurate, and fully automatic. This procedure also can be applied to coronary segmentation. The validation of the acquired cardiovascular images is evaluated by a cardiologist. By evaluating 10 datasets, which contain about 5000 images, the accuracy of the method is 97.3% comparing to the gold standard. Our gold standard is the images segmented by cardiologist. In addition, average elapsed time is 0.18s per image.
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