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Automatic extraction of residential area from SAR image is a difficult task due to its complexity. The traditional methods based on segmentation or classification are effective. In this article, we present a novel method based on conditional generative adversarial networks (CGANs) to extract regular residential area in rural and urban region. CGANs is applied to extend the scope of research from supervised...
Failures exist ubiquitously in physical actuators, which usually are uncertain in time, pattern, and value. This effect would deteriorate system tracking performance, and even trigger instability. In this paper, we consider the problem of compensating for actuator failures by proposing a fuzzy control scheme for stochastic nonlinear systems. Comparison with existing research on stochastic nonlinear...
Solving the global method of Weighted Least Squares (WLS) model in image filtering is both time- and memory-consuming. In this paper, we present an alternative approximation in a time- and memory- efficient manner which is denoted as Semi-Global Weighed Least Squares (SG-WLS). Instead of solving a large linear system, we propose to iteratively solve a sequence of subsystems which are one-dimensional...
In this paper, we jointly consider communication, caching and computation in a multi-user cache-assisted mobile edge computing (MEC) system, consisting of one base station (BS) of caching and computing capabilities and multiple users with computation-intensive and latency-sensitive applications. We propose a joint caching and offloading mechanism which involves task uploading and executing for tasks...
Omnidirectional images describe the color information at a given position from all directions. Affordable 360° cameras have recently been developed leading to an explosion of the 360° data shared on social networks. However, an omnidirectional image does not contain interesting content everywhere. Some part of the images are indeed more likely to be looked at by some users than others. Knowing these...
Spatial angular compounding (SAC) with plane wave has been proposed to improve the performance of motion and strain estimation at high frame rate. A previous study shows that the accuracy of 2D estimation depends on the number of steering angles, maximum steering angle, and accuracy of axial estimation at different angles (He et al, Ultrasonics 2017). We have demonstrated (Pan et al, TUFFC 2015) that...
Affine-model-based optical flow method (OF) is a commonly used method for direct estimation of strain. Typically, two image frames are used to estimate the axial strain in OF (OF2). When the compression is relatively large (i.e., 3–5%), the performance of OF2 is deteriorated because of signal decorrelation. However, larger compression may lead to some new characteristics or increase the signal-to-noise...
Affine model based optical flow (OF) method has been proved to perform better in elastography than rigid model based cross-correlation method (Pan et al, TUFFC 2015). At larger applied strain (e.g., 4–5%), the performance of OF method using two image frames (OF2) is deteriorated due to signal decorrelation. However, higher compression ratios may result in some new characteristics or increase the contrast...
Visual attention networks are so pervasive in the human brain that eye movements carry a wealth of information that can be exploited for many purposes. In this paper, we present evidence that information derived from observers' gaze can be used to infer their age. This is the first study showing that simple features extracted from the ordered sequence of fixations and saccades allow us to predict...
Regular expression matching has been widely used in today's network security systems, where the payloads of network packets are matched against a set of rules specified by regular expressions. Due to the increasing number of rules and the complex semantics of regular expressions, state-of-the-art regular expression matching techniques hardly meet the demands of network development. The rapid growth...
Network connectivity is an important factor of the performance of wireless Ad hoc networks (WANETs) because it represents the lifetime that a node is connected to an arbitrary one. However, due to the dynamic networks, the connectivity is unstable. Under the WANETs, the influences of the connectivity are investigated. Although various models have been proposed to study the issues, the comparisons...
A new rational quartic interpolating spline based on function values is constructed. The rational quartic interpolating spline curves have simple and explicit representation with parameters. The monotonicity-preserving, C2 continuity and boundedness of rational quartic interpolating spline curves are confirmed. Function value control and derivative value control of rational quartic interpolation spline...
Human activity recognition based on wireless signals emerges as a research hotspot recently. Though tremendous efforts have been devoted and significant progresses have been achieved, one fundamental issue still remains open, i.e., theoretical modeling between signal dynamics and human activities. This paper fills in the blank by addressing several theoretical issues and providing insightful mathematical...
With the fast industrial deployment of software-defined networking (SDN) and network function virtualization (NFV) technologies, network function policy enforcement in large scale virtualized networks becomes a key challenge for network management. Distributed policy enforcement heavily involves network policy space analysis, where set operations consume most of the computation. Based on spatial projection...
In this paper, we target the resource allocation and layer selection problem for the realtime video streaming over highway scenario, by employing Scalable Video Coding (SVC) for the video contents. Especially, we take the freeze-free playback as one of the constraint as well. Since the formulated resource allocation and SVC layer selection problem is NP-hard, we propose the Resource Allocation and...
Disaster detection is an important research topic and draws great attentions from both industry and academia. In this paper, we study the hybrid landslide detection system, which utilizes the video surveillance camera and multiple kinds of sensors and can detect the landslide automatically. Edge processing is adopted in this hybrid system to fuse the sensor data based on the Dempster-Shafer (D-S)...
As increasingly more applications are deployed in vehicles, how to provide the demanded computational capability becomes crucial. This paper proposes the hybrid vehicular cloud (HVC) framework for cloud computing on the road to increase the computational capability of vehicles by using resources from the centralized cloud, RSU, and neighboring vehicles. The proposed scheme can be used as a general...
Screen content has been an important extension of high efficiency video coding widely used in wireless display and screen sharing. Reconstructed screen content images have distortions because of the quantization of transforming coefficients. Hence, this paper proposes an enhanced block-matching and 3D filter (BM3D) to attenuate the distortion by block classification and block segmentation. Experimental...
High-Efficiency Video Coding (HEVC) is the newest video coding standard and presents improved efficiency. However, the coding computational complexity of this process is significant because of its coding structure called quad-tree structure coding units (CUs) for improving compression efficiency. In this paper, a fast algorithm based on image complexity of current CU is proposed to reduce the computational...
Video streaming over vehicular networks has considerable benefits for both road safety and entertainment. In this paper, realtime videos encoded with Scalable Video Coding (SVC) over cooperative vehicular networks are investigated to improve the performances of the video streaming services. We formulate a joint optimization problem to answer the questions of how to select the relay vehicular users...
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