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A circularly polarized implanted antenna is designed and numerically analyzed for in-body communication. The turn-style like antenna consists of two orthogonal conformal dipoles located on the bone which contains a conical implant made up by a bio-metallic alloy. The return losses at the central frequency of the Industrial, Scientific and Medical (ISM) band (i.e., ƒ=2.45 GHz) of the two dipoles in...
We present a new technique for fabrication of a linear variable guided-mode resonance (GMR) filter based upon nanoreplica molding. The developed process utilizes a wedge-shaped elastomeric mold, which is stretched to obtain 1D gratings with a linearly graded period. A high refractive index dielectric film is deposited on the graded-period grating to serve as the waveguide layer of the GMR filter....
In recent years, application of quantum dots (QDs) have attracted intensive interest owing to their outstanding photoluminescence properties, All of these attractive characteristics make QDs candidates for the next generation back-lighting and display. However, the commercial application in lighting, especially in integrated devices is seldom reported. In this work, we used QDs film in chip on board...
In order to meet the requirement of space payload system and the data transmission, a scheme of static and dynamic bandwidth allocation (SBA+DBA) of PON FC-AE-1553 network was proposed based on both theoretical analysis and simulation approaches. In our paper, the data type of payload was divided into periodic data, application data and burst data, the periodic data and burst data use the SBA and...
This paper is concerned with stabilization of a one-dimensional wave equation with variable coefficient, which suffers from an arbitrary time delay in the observation. We commit ourselves to the wave equation with variable coefficients generalized of that with constant coefficients under delayed observation. The observer and predictor systems are constructed to introduce the estimated state feedback...
Digital breast tomosynthesis (DBT) is a tomographic technique in which individual slices through the breast are reconstructed from x-ray projection images acquired over a limited angular range. In contrast-enhanced DBT (CE-DBT) functional information is observed by administration of an radiographic contrast agent. The uptake of iodine in the breast is very small and causes changes in x-ray transmission...
Online News has become one of the most popular channels for consuming and understanding the real-world events. However, it is increasingly difficult for users to hold the full picture of massive events in a comprehensive perspective. In addition, how to motivate human to perceive the important rare events, which may trigger the subsequent emergency events, remains to be a challenge. To address these...
Deep learning has emerged as a powerful technique to uncover deep structured, nonlinear features for various information processing tasks, such as image processing, speech recognition, and information retrieval. In this paper, we introduce a framework of utilizing a Deep Structured Semantic Model (DSSM) to build similarity features to enhance search engine relevance. To illustrate the effectiveness...
In general, the first step for supervised learning from crowdsourced data is integration. To obtain training data as traditional machine learning, the ground truth for each example in the crowdsourcing dataset must be integrated with consensus algorithms. However, some information and correlations among labels in the crowdsourcing dataset have discarded after integration. In order to study whether...
With predictably rapid development of Electric Vehicles (EVs), how to integrate EV fleet into smart grid intelligently and efficiently is a big concern for power industry and academic. To provide a possible solution for this issue, this paper is to apply a modular multilevel converter (MMC) as a power electronic interface to integrating EV fleet into grid by embedding EVs into the DC link of each...
Based on the traditional newsvendor model, we study the production decisions for a loss-averse retailer under supply and additive demand uncertainties in a fashion supply chain. We demonstrate the existences of the optimal order quantity and price. With numerical study, we show that under the loss-averse behavior, the higher the loss-averse degree, the lower the optimal order quantity, the higher...
We frame a retailer's decision problem under the mental accounting behavior model by assuming that decision maker confronts uncertain supply and demand at the beginning of a selling season. With numerical study, we show that under the mental accounting behavior model, the retailer might order less than the profit-maximized retailer, the higher the loss-averse degree of leftover account, the lower...
Field Programmable Gate Arrays (FPGA) are often the go to choice for system prototyping and comparison. Circuit design and the impact of hardware architecture can be measured and experimented with using short iteration times. The Verilog To Routing (VTR) CAD flow offers a framework for synthesis and experimentation with customizable FPGA architectures. This paper describes the implemented ability...
Field Programmable Gate Arrays (FPGA) are often the go to choice for system prototyping and comparison. Circuit design and the impact of hardware architecture can be measured and experimented with using short iteration times. The Verilog To Routing (VTR) CAD flow offers a framework for synthesis and experimentation with customizable FPGA architectures. This paper describes the implemented ability...
We numerically demonstrate a “trapped rainbow” on a dielectric waveguide - based device. When excited by a broadband incidence, resonant modes of different frequencies are excited with the electromagnetic field of each frequency component stored at its respective location. We report a complete design of the device that does not depend on artificial media (such as metamaterials) whose realization is...
The fusion of artificial fish algorithm and genetic algorithm is proposed to optimize the flight scheduling of two-runway in large airport in which the problems are difficult, inefficient and serious flight delays. First, in this paper, the shortcomings of artificial fish algorithm and genetic algorithm are analyzed, and combing the advantages of two algorithms, optimization algorithm is proposed...
Local Binary Pattern (LBP) feature has attracted increasing interest in pedestrian detection tasks, but it requires high dimensionality to gain promising performance. To address this problem, we make three main contributions. First, Center-Symmetric Local Binary Patterns (CSLBP) feature is introduced to pedestrian detection. It's the first time to extract CSLBP operator in an approach similar to basic...
Compared to the conventional source current control scheme, the novel control strategy proposed in this paper eliminates the inherent steady error, solves the conflict between filtering performance and system stability and achieves better dynamic response with feed-forward current path. Principle and realization of this new control method are presented. Besides, as the difficulty of maintaining system...
In this paper, a novel scheme for watermarking QR-code is proposed based on Singular Value Decomposition (SVD) in Nonsubsampled Contour let Transform (NSCT) and Contour let Transform (CT). For extraction actuality and detection accuracy, CT is performed before decomposing each block segmented from the chosen sub-band for singular values. Unlike the published work in this area, which quantizes certain...
This paper studies the problem of resource allocation in multi-cell cognitive radio networks (CRNs) with orthogonal frequency division multiple access (OFDMA). In order to save energy as well as improve communication efficiency, both the issues of system throughput and energy efficiency need to be considered in the optimizing objective, meanwhile, the system fairness is introduced to keep load balancing...
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