Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification (IEEE 2017)

Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification (IEEE 2017)

ABSTRACT Automated license plate recognition (ALPR) is essential in several roadway imaging applications. For ALPR systems deployed in the United States, variation between jurisdictions on character width, spacing, and the existence of noise sources (e.g., heavy shadows, non-uniform illumination, various optical geometries, poor contrast, and so on) present in LP images makes it challenging for […]

Cooperative Jamming Aided Secrecy Enhancement in P2P Communications with Social Interaction Constraints(IEEE 2017).

Cooperative Jamming Aided Secrecy Enhancement in P2P Communications with Social Interaction Constraints(IEEE 2017).

ABSTRACT This work considers the problem of reliability and secrecy enhancement for wireless content sharing between a content source node and a content requester. By exploiting the social characteristics of multiple nodes in the presence of multiple independent eavesdroppers, this paper first investigates the impact of mobility for source node selection for transmission reliability, within […]

Space-Time Approach for Disturbance Detection and Classification (IEEE 2017).

Space-Time Approach for Disturbance Detection and Classification (IEEE 2017).

ABSTRACT: A major challenge facing future grid systems is to identify the source of abnormal behaviors caused by faults or voltage instability. In this paper Phasor Measurement Units (PMUs) have been considered for detecting disturbances and degradation in the grid. Considering that the source of voltage instability mainly impacts neighboring areas, we present a simple […]

An Efficient Strategy for Online Performance Monitoring of Datacenters via Adaptive Sampling

An Efficient Strategy for Online Performance Monitoring of Datacenters via Adaptive Sampling

ABSTRACT Performance monitoring of datacenters provides vital information for dynamic resource provisioning, anomaly detection, and capacity planning decisions. Online monitoring, however, incurs a variety of costs: the very act of monitoring a system interferes with its performance, consuming network bandwidth and disk space. With the goal of reducing these costs, this paper develops and validates […]

Event-based Fault Detection Filtering for Complex Networked Jump Systems (IEEE 2017).

Event-based Fault Detection Filtering for Complex Networked Jump Systems (IEEE 2017).

ABSTRACT: This paper is concerned with the fault detection filtering for complex systems over communication networks subject to nonhomogeneous Markovian parameters. A residual signal is generated which gives a satisfactory estimation of the fault and an event-triggered scheme is proposed to determine whether the networks should be updated at the trigger instants decided by the […]

Super-Resolution Image Reconstruction for High-Density 3D Single-Molecule Microscopy Variation (IEEE 2017).

Super-Resolution Image Reconstruction for High-Density 3D Single-Molecule Microscopy Variation (IEEE 2017).

ABSTRACT: Single-molecule localization based super-resolution microscopy achieves sub-diffraction-limit spatial resolution by localizing a sparse subset of stochastically activated emitters in each frame. Its temporal resolution, however, is constrained by the maximal density of activated emitters that can be successfully reconstructed. The state-of-the-art three-dimensional (3D) reconstruction algorithm based on compressed sensing suffers from high computational complexity […]

On Stock Trading Via Feedback Control When Underlying Stock Returns Are Discontinuous

ABSTRACT Trading rules based on feedback laws have recently attracted significant attention in the control community. One of the main results in this area states that the gain obtained by so-called simultaneously long short strategies has positive expectation for price processes governed by geometric Brownian motion. This technical note shows that this result extends to […]

Adaptive Clustering for Dynamic IoT Data Streams(IEEE 2017)

Adaptive Clustering for Dynamic IoT Data Streams(IEEE 2017)

ABSTRACT The emergence of the Internet of Things (IoT) has led to the production of huge volumes of real-world streaming data. We need effective techniques to process IoT data streams and to gain insights and actionable information from real-world observations and measurements. Most existing approaches are application or domain dependent. We propose a method which […]

Mixture of Gaussian Blur Kernel Representation for Blind Image Restoration (IEEE 2017).

Mixture of Gaussian Blur Kernel Representation for Blind Image Restoration (IEEE 2017).

ABSTRACT: Blind image restoration is a non-convex problem involving the restoration of images using unknown blur kernels. The success of the restoration process depends on three factors: 1) the amount of prior information concerning the image and blur kernel; 2) the algorithm used to perform restoration; and 3) the initial guesses made by the algorithm. […]

Localization of Wireless Capsule Endoscope: A Systematic Review

Localization of Wireless Capsule Endoscope: A Systematic Review

ABSTRACT Wireless capsule endoscope (WCE) is a notable invention introduced in the biomedical industry. It involves swallowing a small disposable video capsule that takes photographic images as it passes through the gastrointestinal (GI) tract. WCE allows physicians to visualize and diagnose disorders covering the full length of the GI tract. Although WCE can provide useful […]