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This paper describes a novel fully integrated 35GHz frequency modulated continuous wave (FMCW) PLL with twins-VCO to 7GHz sweeping bandwidth. The proposed FMCW PLL is composed of twins-VCOs, SDM modulator and waveform generator. A novel frequency sweeping extension (FSE) technique is proposed to make the twin-VCOs take turns to sweeping to realize wide sweeping bandwidth without sacrificing the sweeping...
To facilitate system architecture development using DoDAF, we propose an architecture development methodology based on DoDAF 2.0 in this paper. First, based on experiences in practice, gaps between Operational Viewpoint (OV), Capability Viewpoint (CV) and System/Service Viewpoint (SV/SvcV) are analyzed. Second, to bridge the gaps, two architecture viewpoints, i.e. Information activity Viewpoint (IaV)...
For active temperature controlled quartz resonant dew point sensors, the combination of Peltier and quartz crystal resonators (QCR) is a key factor in the design of sensor structures. A structure in which the Peltier and the QCR are surface to surface combined with single-sided cooling has unstable vibration when environmental parameters continuously change. In order to achieve continuous and accurate...
The strong abilities of deep learning models have been shown in the area of text detection in natural scene images. In this paper, we introduce a new method called deep metric learning for scene text detection. We use the triplet loss [1] to replace the traditional loss function (Softmax) and learn a mapping from image regions to a compact Euclidean space where distances correspond to a measure of...
We discuss the advances of several optical interconnect options, including the VCSEL based, the Si-photonics based, and the monolithically integrated approaches. In addition, we discuss the possibility of using optical method to power and connect smartdust type of devices.
Deep learning is a new field in machine learning research. Convolution neural network is the most important factor in image recognition. This paper mainly focuses on the network design and parameter optimization of convolution neural network. This paper is first based on the traditional handwritten digital classification framework LeNet-5 to improve, and implements the test on the ten and twenty-five...
Because a large number of fabric defects have the characteristics of low contrast and unclear, manual detection is very tedious and inefficient. Therefore, it is necessary to detect defects automatically. An improved fabric inspection method, inspired by visual attention mechanism computation model is presented. The first step is to input fabric images with defects, and filter them by linear low-pass...
A fault-alarm based hybrid controller design approach for Markovian jump system with actuator fault is investigated in this paper. By using linear matrix inequality (LMI) technology, both robust and reliable controllers are presented, which ensure that the normal systems and the fault systems are robustly stable. Then, in order to reduce the conservativeness of reliable controller design algorithm,...
Aiming at the fast and accurate measurement of the output frequency of quartz resonant dew point sensor, there is developed a 1-bit fourth-order bandpass (BP) sigma-delta (ΣΔ) modulator to be applied in it. The automatic design and optimization have been both accomplished in the noise transfer function (NTF) and the architecture of 1-bit fourth-order bandpass (BP) sigma-delta (ΣΔ) modulator. It improved...
Robotic systems have recently drawn attention in minimally invasive surgeries due to their increased dexterity feature. A major drawback of these systems is image blurring due to lens contamination which cause imaging impairment during up to 40% of surgery time. This paper demonstrates a novel laparoscopic magnetic driven camera system with implemented in-vivo lens cleaning and debris prevention systems...
A subwavelength-in-thickness three-layer (gold micro-disk/quantum well infrared photodetector (QWIP)/metal reflector, MIM) plasmonic micro-cavity structure has been developed as a coupling resonator to enhance the photo-responsivity of the QWIP. The disk cavity structure captures and confines the incident light at the resonant wavelengths due to the near-field plasmonic effect. Comparing with the...
The performance of high-speed motorized spindle will directly affect the overall performance of high-speed machine tools, such as machining precision, processing strength and efficiency, vibration and noise, lifetime and so on. As one of the key R&D items of the motorized spindle design, motor control system is a nonlinear and strong coupling system. Based on the analysis of the control system...
In this paper, we propose a novel distributed Kalman filter (KF) over sensor networks using partial diffusion strategy, where each sensor only communicates with its neighbours and individual estimation vectors are partially transmitted to obtain local ones through convex combinations under communication bandwidth constraints. Proposed solution can obtain a trade-off between communications burden and...
This paper deals with the exact reachability and controllability of probabilistic Boolean control networks (PBCNs). Exact controllability of PBCNs is the generalization of controllability of Boolean control networks (BCNs). Firstly, the maximum probability transfer matrix for PBCNs is constructed, and elements of the matrix denote the maximum probability with which one state transfer to another one...
In this paper, the exponential stochastic synchronization of coupled neural networks via adaptive periodically intermittent control is further investigated. Based on the Lyapunov stability theory combined with the method of the adaptive control, periodically intermittent control and the properties of Weiner process, some simple criteria are derived for the exponential stochastic synchronization of...
In this paper, a novel modeling method of soft sensing is presented to measure the spent catalyst's carbon content in fluidized-bed catalytic cracking. This model focuses on improving the existing soft sensing models' performances, such as higher measurement accuracy, more robust working performance, or better generalization ability. To build this model, firstly, we choose the primary variables and...
Name ambiguity arises when one retrieves publications written by distinct author entities who share the same name. During the past decades, a myriad of supervised and unsupervised methods have been proposed to resolve the ambiguity of author names and boost retrieval performance for digital libraries and other similar websites such as Citeseer1 and WanFang2. However, most of them either need large...
In this paper, a method based on an oscillating flow consisting of an 8 Hz vibrating flow and a constant flow used to increase the manipulation capability of particles in liquid is developed and demonstrated. The method was integrated with magnetic resonance navigation (MRN) for targeted manipulation. Micro particles encapsulating superparamagnetic nanoparticles were successfully navigated in a Y-shaped...
In this paper, a distributed Unscented Kalman Filter method (UKF) based on improved joint probabilistic data association (IJPDA) is proposed to solve the problem of nonlinear state estimation on multi-sensor multi-target tracking. Firstly, IJPDA method is introduced which determines the source of the multi-sensor data to simplify calculation complexity. Then the distributed UKF algorithm is presented...
In this paper, we propose an intermittent control scheme for neural oscillator systems with delay. The aperiodically intermittent controller is designed. Based on the linear matrix inequality, and Lyapunov theory, a sufficient condition is derived. The exponential synchronization of master-response neural oscillator systems can be ensured based on designed intermittent controller. Numerical simulation...
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