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For remote sensing image understanding, target detection is one of the most important tasks. In this paper, we propose one object detection method based on region proposal detection via active contour model and detection based on one-class classification method. The large scale remote sensing image is split into several connected components. And then, the proposed algorithm detects the object from...
In this paper, a novel LLC resonant converter with parallel input and parallel output circuit topology is proposed to achieve the good performance of reduced switch count and medium power compared with conventional parallel half-bridge resonant converter. The proposed LLC resonant converter has two resonant circuits, two resonant circuits use the same power switches to transmit power so that the switch...
As more and more technologies to store and analyze massive amount of data become available, it is extremely important to make privacy-sensitive data de-identified so that further analysis can be conducted by different parties. For example, data needs to go through data de-identification process before being transferred to institutes for further value added analysis. As such, privacy protection issues...
A novel optically tunable frequency-multiplying optoelectronic oscillator (OEO) to generate a high frequency microwave signal without employing an optical filter is proposed. The upper dual parallel Mach-Zehnder modulator (DP-MZM) integrated in a dual-polarization quadrature phase shift-keying (DP-QPSK) modulator is accurately biased to serve as an equivalent phase modulator (e-PM), which functions...
Path following is a fundamental problem for unmanned air vehicles (UAVs). In this paper, a Lyapunov stable path guidance law is designed to generate the course control command for a small UAV. The control parameters of the guidance law is optimized by the nonlinear model predictive control (NMPC) techinque. The relative simulations with the three different approaches: Lyapunov stable controller with...
This paper addresses a local formation tracking control for multiple first-order agents in 3D space, where each agent's trajectory converges to the given super-ellipsoid and the tracking target is movement with an unknown speed. Differing from the using of GPS in the literature, a new distributed solution is given based on local measurements of relative position. To develop the spherical formation...
A approach using the adaptive genetic algorithm (AGA) is proposed for array failure correction in digital beam forming of arbitrary arrays. In this article we use adaptive genetic algorithm (AGA) change the excitation of elements to improve the performance of array with failed elements. Numerical examples are presented to show the effectiveness of the approach.
We demonstrate a back end of line compatible SiN based material with tunable refractive index enabling low optical loss, high non-linear Kerr response, low index photonic crystals, high efficiency couplers, low loss waveguides and temperature tolerant MUX for DWDM.
Rank deficiency issues dictate that parameter identification for permanent magnet synchronous motor (PMSM) must be a step by step procedure. In this paper, the influence of parameter identification sequence to identification accuracy is analyzed and an off-line and on-line combined sequence is assessed to be the optimal sequence for improving the accuracy of resistance and flux identification. Overall...
This work focuses on how to provide the best virtual desktop technology, virtualization performance and hardware in the computer classroom. There are using the three popular virtualization technologies in the same environment to establish the same conditions, pure performance comparison: VMware Horizon, Citrix XenDesktop, and Microsoft VDI. Test software used to the current popular software, system...
This paper presents a swarm optimization (SO) method for solving the thermal unit commitment (TUC) problem. The most difficult time-dependent minimal uptime/downtime constraints are satisfied via a set of heuristic rules which is used as a screening tool to avoid an infeasible operation schedule. Numerical results from test examples indicate the attractive properties of the proposed swarm optimization...
This paper proposes a general framework to establish the dynamic movement primitives library (DMPL) for a mobile robot path planning in unknown environment. Based on DMPL, the mobile robot can autonomously compute a smooth path from the initial position to the target points while avoiding any existed obstacles. Path planning based on DMPL consists of two phases, the library building and its application...
Image retargeting techniques that adjust images into different sizes have attracted much attention recently. Objective quality assessment (OQA) of image retargeting results is often desired to automatically select the best results. Existing OQA methods output an absolute score for each retargeted image and use these scores to compare different results. Observing that it is challenging even for human...
Drug-related criminal activity is gradually rising in Taiwan and has a significant and negative social impact. This paper proposes a data-driven method based on "broken windows" theory and spatial analysis to analyze crime data using machine mining algorithms and thus predict emerging crime hotspots for additional police attention.The Deep Learning algorithm has been widely...
Over the past several years, steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have attracted wide attention in the field of BCIs research due to high information transfer rate, little user training, and applicability to the majority. In conventional recognition methods for training-free SSVEP-based BCIs, the energy difference between the frequencies of electroencephalogram...
Continuous blood pressure (BP) monitoring has a significant meaning to the prevention and early diagnosis of cardiovascular disease. However, existing continuous BP monitoring approaches, especially cuff-less BP monitoring approaches, are all contraptions which complex and huge computation required. For example, for the most sophisticated cuff-less BP monitoring method using pulse transit time (PTT),...
We demonstrate one-dimensional (1D) electrical modeling of InP nanowire array solar cells. This 1D modeling gives accurate description of the current voltage response even at high surface recombination velocity. The 1D electrical model decreases the simulation time by 3 orders of magnitude compared to a full three-dimensional (3D) model.
This article considers the robust cooperative control problem of multiple double-integrator agents' formation moving around a set of given curves on spheres, where each agent suffers an unknown spatiotemporal flowfield and the communication topology among agents is directed. The flow specification is composed of a general direction matrix and a responding unknown flow speed vector, which includes...
Nanowires (NWs) have potential to enable new types of light-emitting diodes (LEDs), which also entail challenges for the development of improved full device simulation models. In this work we calculate the extraction efficiency and emission enhancement in NW array LEDs at different temperatures and couple the results to carrier transport simulations. Our results show that the extraction efficiency...
The increasing demand for higher data rates and small form factor equipment for optical networks is fuelling research on integrated optical devices with small footprint and broad bandwidth. Here, we present novel design approaches for grating couplers in the silicon and silicon nitride platforms that enable broadband operation and highly efficient coupling. Furthermore, we report experimental findings...
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