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We experimentally demonstrate hybrid orbital angular momentum (OAM) Mode and Gaussian mode encoding/decoding for 10-Gbit/s data transmission through a 2.6-km conventional graded-index multimode Fiber (OM3), and achieve bit-error rate (BER) below 3.8e-3.
We experimentally demonstrate 20 Gbit/s data transmission over a 1.1 km elliptical-core few-mode fiber (EC-FMF) link assisted by mapping from conventional amplitude modulation to spatial mode modulation, and achieve a 0.7 dB OSNR penalty improvement than single mode transmission at a BER of 3.8e-3.
We propose and fabricate high-performance subwavelength grating (SWG) slot waveguides on an SOI platform for the short-wave infrared (SWIR). We further demonstrate 5-Gbit/s direct modulation data transmission in the emerging 2 μm communications waveband.
A chip-scale reflective metasurface is designed and fabricated for generating 2 μm orbital angular momentum (OAM) mode with topological charge of +1 or −1. We also study the operation performance of fabricated OAM mode generator in experiment.
Silicon strip and slot waveguides are fabricated and 5 Gb/s directly-modulated data transmission is demonstrated in 2 μm waveband. The results indicate the suitability of SOI platform for chip-scale data transmission in the mid-infrared wavelength.
We propose and demonstrate two types of infinite impulse response (IIR) microwave photonic filters (MPFs) with different structures, named cascaded structure and parallel structure. Both structures are based on the homogeneous multicore fiber (MCF) in which the inter-core power coupling has been established by tapering technique. The quality factors (Q factors) of cascaded and parallel structures...
Work-queue is an effective approach for mapping irregular-parallel workloads to GPGPUs. It can improve the utilization of SIMD units by only processing useful works which are dynamically generated during execution. As current GPGPUs lack necessary supports for work-queues, a software-based work-queue implementation often suffers from memory contention and load balancing issues. We present a novel...
Drug-Drug Interactions (DDIs) and associated Adverse Drug Reactions (ADRs) represent a significant public health problem in the United States. The research presented in this paper tackles the problems of representing, discovering, quantifying and visualizing patterns from high-order DDIs in a purely data-driven fashion. We formulate the problems based on a notion of directional DDI relations and correspondingly...
High-order Drug-Drug Interactions (DDI) are common particularly for elderly people. It is highly non-trivial to detect such interactions via in vivo/in vitro experiments. In this paper, we present SVM-based classification methods to predict whether a high-order directional drug-drug interaction (HoDDDI) instance is associated with adverse drug reactions (ADRs) and induced side effects. Specifically,...
Thread-Level Speculation (TLS) mechanism has been extensively studied due to its capability of simplifying parallel programming and achieving effective performance speedup. In this paper, we investigate the study of improving current TLS models for high efficiency on present multi-core architectures. Particularly, we propose a new TLS model called Cache Copy-on-Write (CCoW). The main features of our...
In this paper, we present a novel approach for contour detection with Convolutional Neural Networks. A multi-scale CNN learning framework is designed to automatically learn the most relevant features for contour patch detection. Our method uses patch-level measurements to create contour maps with overlapping patches making interdependent decisions. We show the proposed CNN is very efficient to detect...
We propose and experimentally demonstrate a compact integrated silicon photonic comb filter based on two cascaded Sagnac-loop mirrors. By using thermal tuning with three micro-heaters, the center wavelength can be tuned over several FSRs and the 3-dB bandwidth can be tuned to 2.5 GHz.
We present a compact quasi parity-time (PT) symmetric photonic device by using two sets of interleaved tailored gratings. By tailored design, broadband asymmetric optical mode conversion and transmission could be realized over a wide wavelength range from 1.45 μm to 1.65 μm.
This paper presents a fast and robust framework integrating local features for the matching of multimodal geospatial data (e.g., optical, LiDAR, SAR and map). In the proposed framework, local feature descriptors, such as Histogram of Oriented Gradient (HOG) and Local Self Similarity (LSS), are first extracted for every pixel to form a pixel-wise structural feature representation of an image. Then...
We demonstrate an orbital angular momentum (OAM) fiber amplifier and evaluate its performance in an OAM and wavelength multiplexing system. The small signal gain is up to 19 dB from 1530 nm to 1565 nm. The OSNR penalties at a BER of 2e-3 are less than 1.8 dB for all channels.
In the power market, the power generation and consumption behavior will be more difficult to capture and predict than in the environment of monopolistic buying and selling model. Smart grid planning and operation is going to be challenged. In order to adapt to the new situation, it is necessary to actively explore some innovative load forecasting methods. The improved method of intelligent load forecasting...
This paper presents the first systematic study on co-scheduling independent jobs on integrated CPU-GPU systems with power caps considered. It reveals the performance degradations caused by the co-run contentions at the levels of both memory and power. It then examines the problem of using job co-scheduling to alleviate the degradations in this less understood scenario. It offers several algorithms...
Identification of functional modules from biological network is a promising approach to enhance the statistical power of genome-wide association study (GWAS) and improve biological interpretation for complex diseases. The precise functions of genes are highly relevant to tissue context, while a majority of module identification studies are based on tissuefree biological networks that lacks phenotypic...
Self-heating effect in bulk FinFET is briefly studied in this paper. The layout dependence of thermal resistance and thermal capacitance are assumed and the correction method is proposed to improve the accuracy of thermal parameter. Measuring methods and their corresponding test structures are also summarized. Besides, two realization methods of self-heating effect for circuit simulation are also...
Many recent scientific efforts have been devoted to constructing the human connectome using Diffusion Tensor Imaging (DTI) data for understanding large-scale brain networks that underlie higher-level cognition in human. However, suitable network analysis computational tools are still lacking in human brain connectivity research. To address this problem, we propose a novel probabilistic multi-graph...
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