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In this paper, we propose a new discriminative dictionary learning framework, called robust Label Embedding Projective Dictionary Learning (LE-PDL), for data classification. LE-PDL can learn a discriminative dictionary and the blockdiagonal representations without using the l0-norm or l1-norm sparsity regularization, since the l0 or l1-norm constraint on the coding coefficients used in the existing...
This paper presents an 18-to-23 GHz sub-harmonically injection-locked all-digital PLL (SIL-ADPLL). It adopts the proposed injection-locked frequency divider aided adaptive injection timing alignment technique and uses a proposed (UP-DN) block to adjust the injection timing adaptively at output frequency higher than 20 GHz with low power consumption. A new pulse generator is proposed to relax the trade-off...
In order to improve the robustness of fault diagnosis method based on model in the modular multilevel converter, an improved predictive model of the circulating current is established. A correction method is proposed to compensate for the uncertainties of the parameters and the measurement errors, and the disturbances are eliminated by using multi-step prediction method. The fault detection method...
To improve the reliability of modular multilevel converter (MMC), the fault submodules must be isolated rapidly. In this paper, a new fast fault diagnosis method is proposed containing two steps: fault detecting and fault locating. Fault detection step finds failures by improved predictive model which detects the fault by comparing the difference between the predictive value and the measured one of...
A new topology of the energy router is proposed in this paper to achieve a richer power distribution scheme, which contains DC interface, DC energy storage, loads, photovoltaic power generation and other equipment. A power control algorithm based on droop control of the DC bus is proposed to solve the problem of frequent fluctuations of the power and unstable of the DC bus voltage caused by access...
In this paper, speed control curve of stepper motor was studied for optimizing the motion flexibility and improving the motion precision of the stepper motor under the open-loop control environment based on Microcontroller Unit (MCU). Firstly, the acceleration and deceleration control curve of trapezoidal and New S model was designed respectively. Secondly, the relationship curve between control pulse...
Accurate time measurement is the key technique for oscillating cup viscometer. In order to overcome the error due to environmental noise, a direct counter of pulse time interval was selected to measure the attenuated time related to viscosity, and then viscosity values are thus calculated. A measurement circuit composed of laser signal acquisition, time interval synthesis and time interval measurement,...
A wideband microstrip endfire antenna is designed for applications in base station and satellite communication. Utilizing substrate integrated waveguide technology, vertically polarized wave is generated by the driven element of the antenna. And a parasitic microstrip patch with one edge opened and the other three edges shorted is introduced as the magnetic dipole to improve the impedance matching...
In this paper, we designed, fabricated and measured a broadband reflective polarization convertor which can convert linear polarization to its orthogonal polarization from 6.8 to 16GHz, with a polarization conversion ratio larger than 86%. Because of its anisotropy, a nearly equal magnitude and a nearly 180° phase difference are generated along two orthogonal axes, which lead to the ability of polarization...
Petrochemical hydrogenation unit has often been operated under high-temperature, high-pressure or critical hydrogen condition, probably resulting in severe accident such as leaking, fire and explosion. The reasonable emergency response program is an important guarantee for controlling the spread of risk and reducing the consequence of accident. There are a lot of database files in petrochemical units,...
During the past decade, graph-based semi-supervised learning has become one of the most important research areas in machine learning and artificial intelligence community. In this paper, we propose a Capped l2,1-Norm Regularized Dictionary Learning to construct the graph for semi-supervised learning (SSL). The new sparse coding is robust to the outliers and insensitive to noise. Then, the developed...
The study is mainly about the simulation of the hydrodynamic effect of the fluid around the semi-submerged body in the three-dimensional open channel flow. In the case of Reynolds number 36200 and Froude number 0.17, the simulation is carried out by unsteady Reynolds Average Navier-Stokes method for semi-submerged body. There are four different draft ratios simulation by volume of fluid. The researches...
In this paper, we investigate a largely extended version of classical MAB problem, called networked combinatorial bandit problems. In particular, we consider the setting of a decision maker over a networked bandits as follows: each time a combinatorial strategy, e.g., a group of arms, ischosen, and the decision maker receives a rewardresulting from her strategy and also receives a side bonusresulting...
Silicon carbide (SiC) devices attract widespread attention of scholars because of their superior characteristics. However, the interaction between the upper and lower devices during the switching process in the bridge circuit will affect the safe operation of SiC devices. To suppress the crosstalk spurious voltage, this paper proposes a gate driver circuit based on magnetic coupling for SiC devices...
One model for viral marketing is the positive influence. In this model, an inactive node is changed into active if and only if at least half of its neighbors are already in active state. The positive influence model can be viewed as a special case of a general threshold model, in which the threshold function at each node has value one if at least a certain fraction of neighbors are in active state,...
Named Data Networking (NDN), a revolution of the IP architecture, provides an information-centric paradigm to transmit video traffic which occupies most of the Internet traffic. However, the data caching schemes exploited by the current NDN can easily result in the unfair distribution of cache space, which is not suitable for performance isolation when there are multiple network users and the cache...
In order to provide the cloud computing research community with a full-system level datacenter server emulator with programmable hardware and software, and stimulate more innovative research work, this poster and demo shows a scientific research platform, Titian2, designed and implemented at ICT of CAS. Titian2 has the ability of on-line profiling and measuring, and the scalability of connecting with...
Wireless Sensor Networks (WSNs), the major technique in the sensing layer of Internet of Things. Because the WSN is extensively regarded as a data-centric network, more and more researchers start to exploit information-centric networking (ICN), a major branch of future network architecture, to design WSNs. In this paper, we propose a collaborative caching strategy for information-centric wireless...
With the development of smart home technology, the living conditions of people have been improved greatly. However, the aged and the disabled people cannot operate the devices in the home flexibly, so we designed a smart home environment which is controlled by voice. The system can identify the speech signal even if someone else is speaking. At the same time, the system can change the state of lamp...
We propose a new transductive label propagation method, termed Adaptive Neighborhood Propagation (Adaptive-NP) by joint L2,1-norm regularized sparse coding, for semi-supervised classification. To make the predicted soft labels more accurate for predicting the labels of samples and to avoid the tricky process of choosing the optimal neighborhood size or kernel width for graph construction, Adaptive-NP...
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