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This work introduced a novelty MEMS pyroelectric infrared detector based on LiTaO3 (LT) crystal with high absorptivity amorphous carbon film layer. The LT crystal is thined and polished to 100um thickness and double mentaled for electical connection which will be suspened upon rectangle cave of silicon substrate with mental ring. Amorphous carbon(a-C) could be produced by magnetron sputtering on the...
In this work, we propose an electrical model of the battery based on its equivalent circuit for the evaluation of the energy efficiency. The circuit model consists of a current-dependent nonlinear resistance to model the total drop in the battery voltage caused by the activation, concentration, and Ohmic polarizations. The effects of the coulomb losses on the battery run time are also considered in...
For single-owner multi-user wireless sensor networks, there is the demand to implement the user privacy-preserving access control protocol in WSNs. Firstly, we propose a new access control protocol based on an efficient attribute-based signature. In the protocol, users need to pay for query, and the protocol achieves fine-grained access control and privacy protection. Then, the protocol is analyzed...
On-load voltage regulation transformer is one of the effective measures to control the low voltage problem in distribution network. Traditional mechanical load switches have exposed many shortcomings in the continuous development of the power system. This paper proposes a structure of load switch based on the high power IGBT, and shows its hardware circuit design of the execution structure. The scheme...
In order to solve the problem of high false detection ration and poor real-time performance in the automated and optical inspection of surface defect on cartridge case, a visually high-speed method was proposed. Taking a typical 9mm cartridge case of handgun as the object and considering its surface material, types of defect and detection method, an optical detection system was established on the...
Current distribution network fault location system has a weak fault tolerance. When the information uploaded by FTU is wrong, the misjudgment will often appear. The ant colony algorithm has strong robustness, and it can solve the combinatorial optimization problems better, like distribution network fault location. This paper proposes a fault location method of error correction based on ant colony...
This paper presents a new robust adaptive unscented particle filtering algorithm by adopting the concept of the adaptive robust filtering to the unscented particle filter. This algorithm adaptively determines the equivalent weight function and adaptively adjusts the adaptive factor constructed from predicted residuals to resist the disturbances of singular observations and the kinematic model noise,...
The task of person re-identification (re-id) is to match images of people observed in different camera views. Recent researches mainly focus on feature representation and metric learning. Many global metric learning approaches have achieved good performance. Since comparing all of the samples with a single global metric is inappropriate to handle heterogeneous data, some local metric learning approaches...
A key problem in salient object detection is how to effectively exploit the multi-level saliency cues in a unified and data-driven manner. In this paper, building upon the recent success of deep neural networks, we propose a fully convolutional neural network based approach empowered with multi-level fusion to salient object detection. By integrating saliency cues at different levels through fully...
Parasitic inductances are responsible for oscillations and overshoots in the switching waveforms of SiC MOSFETs under high-frequency operations. In addition to the parasitic inductance of PCB board, bus-bar, device packaging, and drive circuit, the load inductance used for energy storage represents another source of parasitic inductance in SiC MOSFETs converters. Therefore, it is necessary to study...
The growth mechanism of GeOx layer formed by plasma post oxidation at room temperature (RT PPO) is investigated based on angle resolved X-ray photoelectron spectroscopy (AR-XPS). The experimental results show that the GeOx grown by RT PPO does not obey layer-by-layer growth mode. And the distribution of Ge oxidation states is random during RT PPO. These findings are helpful to the optimization of...
We present the first millimeter-wave digitally controlled oscillator (DCO) in a 28-nm CMOS technology. This DCO is developed as an integral part of all-digital phase-locked loop for automotive radar applications. The DCO achieves a tuning range of 3.6 GHz (39.3–42.9 GHz) with a fine frequency resolution less than 1 MHz and phase noise of −99.5 dBc/Hz at 1-MHz offset at 39.3 GHz. The DCO occupies 0...
A 28-nm 3-stage single-ended CMOS 76−81-GHz power amplifier (PA) is presented to meet the extended temperature range of 125 °C and quality requirement for Automotive radar sensors. The proposed PA has single-ended input and output ports to minimize pin count, current consumption, die size and remove the need for off or on chip baluns. The three stages are implemented as common-source stages. A combination...
We experimentally demonstrate all-optical wavelength conversion of OFDM signals by using two-mode injection-locking in a Fabry-Pérot laser. We show the tradeoff between the capacity and performance, and measure the power penalty after wavelength conversion.
We demonstrate an in-fiber microsphere fabrication method with great precision and controllability based on laser-induced thermal effect. The smallest amplification ratio of 3.88 between the microsphere and the fiber core is achieved experimentally.
Optimal control is one of the most popular and efficient control strategies that have been widely used in both classical and quantum systems. Inspired by the recent progresses of quantum algorithms, we find that optimal control protocols can be exponentially accelerated by embedding a quantum controller in the control loop instead of the classical controller. This is the first time to our knowledge...
Illumination condition is one of the most important factors that affect the face recognition performance. Face image illumination quality assessment can predict the face recognition performance under various illumination conditions, which will improve the accuracy and efficiency of the face recognition system. However, the quality scores calculated by the existing methods are weakly correlated with...
Person re-identification is one of the hot topics in computer vision. How to design a robust feature representation to identify pedestrians is a key problem for person re-identification. In this paper, a feature representation based on Multi-Statistics Cascade on Pyramid (MSCP) is proposed for person re-identification. The MSCP feature is composed of deep PCA network feature and hand-crafted features...
The Fine-grained Vehicle recognition is easily affected by small visual changes. The existing recognition methods have less robustness to these conditions (such as illumination, weather changes, etc.) and the accuracy of vehicle recognition in complex environments cannot achieve a satisfying result. In this paper, a high-accuracy fine-grained vehicle recognition method using Convolutional Neural Network...
In this paper, analysis is made on the roles of different participants in data curation, including the government, scientific research institutes and researchers, IT and network centers, data centers and STI agencies, to define their specific functions in data curation. It is pointed out that due to the influence of the “social stereotype”, STI agencies engaged in data curation is taken for granted...
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