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A soft-switching solution implemented to the traditional bidirectional DC/DC converter is developed. The soft-switching cell, which composed of three auxiliary switches, one resonant capacitor and one resonant inductor, is equipped in the traditional bidirectional DC/DC converter to realize circuit ZCT or ZVT operations in both energy transmission directions. Two driving methods are presented to charging...
The modular multilevel converter (MMC) is attractive for medium-or high-power applications because of the advantages of its high modularity, availability, and high power quality. Reliability is one of the most important challenges for the MMC consisting of a large number of submodules (SMs). The capacitor monitoring in each SM of the MMC is an important issue, which would affect the performance of...
The input capacitors' voltages are unbalanced under the conventional control strategy in a dual half-bridge cascaded three-level (TL) DC/DC converter, which would affect the high voltage stresses on the capacitors. This paper proposes a pulse-wide modulation (PWM) strategy with two working modes for the dual half-bridge cascaded TL DC/DC converter, which can realize the zero-voltage switching (ZVS)...
Urban evacuation is of great significance in saving human lives when disasters strike major cities. Comparing with the large population to evacuate, the number of evacuation guiders is much smaller. Since the location of evacuation guiders can greatly influence the evacuation process, it is crucial to identify the most critical locations to assign guiders. The assignment optimization for evacuation...
The renewable energy and Demand Response in the combined cooling heating and power (CCHP) system operation is considered in this paper. The authors propose a kind of integrated scheduling of energy supply and demand which considers the coupling between them. In energy demand side, smart appliances are introduced to participant Demand Respond. In energy supply side, solar energy, storage device and...
In this paper, we address the problem of estimating the positions of human joints, i.e., articulated pose estimation. Recent state-of-the-art solutions model two key issues, joint detection and spatial configuration refinement, together using convolutional neural networks. Our work mainly focuses on spatial configuration refinement by reducing variations of human poses statistically, which is motivated...
The optimal operation system is the key instruction system in CCHP (combined cooling, heating and power) systems, while its development and test always keep a challenge due to the structure complexity and high energy coupling degree. To solve this problem, an emulation testing platform was designed for CCHP systems to test and verify the specified optimal operation system. The stability and reliability...
This paper proposes a boundary exploration algorithm of multiple unmanned aerial vehicles (multi-UAVs) under the disaster environment of coal mine. Firstly, the paper analyzed characteristics and disadvantages of the boundary exploration algorithm based on the utility value. Secondly, the angle factor in the process of navigation is taken into consideration and the dispersion function is introduced...
In this paper, we present a cascaded learning approach for online fall detection in streaming videos. In the cascaded approach, we propose using hybrid features ranging from Haar-like features to motion boundary histogram (MBH) rather than involving only one single type of features as in traditional cascaded methods. The simple features are employed at earlier stages to rapidly filter out the majority...
This paper presents the first snapshot hyperspectral light field imager in practice. Specifically, we design a novel hybrid camera system to obtain two complementary measurements that sample the angular and spectral dimensions respectively. To recover the full 5D hyperspectral light field from the severely undersampled measurements, we then propose an efficient computational reconstruction algorithm...
A novel design of voltage controlled temperature compensated crystal oscillator (VCTCXO) is presented. This design will consider the current temperature compensation and the voltage-controlled voltage of regulation of the central frequency as a whole. A variable capacitance diode is adopted to fit the function of two variables, which avoids the problem that the temperature of the crystal oscillator...
Vehicle re-identification (re-id) plays an important role in the automatic analysis of the drastically increasing urban surveillance videos. Similar to the other image retrieval problems, vehicle re-id suffers from the difficulties caused by various poses of vehicles, diversified illuminations, and complicated environments. Triplet-wise training of convolutional neural network (CNN) has been studied...
Ultra-thin wafer (thickness <100 µm) gripper is a challenging component to design since the wafer is one of the thinnest and fragile materials. In this paper, a soft acting non-contact gripper based on the distributed Bernoulli principle for ultra-thin wafer is developed and evaluated. The theoretical analysis and experimental studies of the designed gripper are carried out. The effects of the...
With the constant increase of social-network data published, the privacy preservation becomes more and more important. Although some literature algorithms apply K-anonymity to the relational data to prevent an adversary from significantly perpetrating privacy breaches, the inappropriate choice of K has a big impact on the quality of privacy protection and data utility. We propose a technique named...
With the rapid development of public service of wireless network, the quantities of free Access Points (APs) in open system authentication increase explosively. However, the security problems also raise prominent, especially, personal privacy disclosure brought by fake APs. We analyze the attack behaviors of the intruders. It is proved that open free AP can be attacked successfully by fake AP, compromised...
A novel algorithm for maximum power point tracking (MPPT) in solar power-generating systems was proposed and compared with the conventional methods of hill climbing, perturbation and observation, and incremental conductance. The three conventional algorithms are prone to divergence under low irradiance levels (<150W/m2), resulting in MPPT difficulties. This study proposed a new MPPT technique based...
The coupling of power systems with cyber networks poses security issues that may threaten the safety and robustness of power systems. In this paper, by combining stochastic process with a state transition description, a stochastic model is presented for describing cascading failure in a cyber-coupled smart grid. A dedicated algorithm is developed to simulate the dynamic profile of the cascading failures,...
In this paper, we develop a stochastic model from the perspective of complex networks to investigate the effects of cyber coupling on cascading failures in coupled power systems. The failure spreading in the coupled system is described by state transition and modeled as a Markov process. We simulate the dynamic profile of the cascading failures caused by the attack of cyber malwares, considering the...
Motion compensation is a fundamental technology in video coding to remove the temporal redundancy between video frames. To further improve the coding efficiency, sub-pel motion compensation has been utilized, which requires interpolation of fractional samples. The video coding standards usually adopt fixed interpolation filters that are derived from the signal processing theory. However, as video...
This work presents an electroencephalography (EEG)-based Brain-computer Interface (BCI) that decodes cerebral activities to control a lower-limb gait training exoskeleton. Motor imagery (MI) of flexion and extension of both legs was distinguished from the EEG correlates. We executed experiments with 5 able-bodied individuals under a realistic rehabilitation scenario. The Power Spectral Density (PSD)...
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