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Software-defined networking (SDN) supports flexibly routing and switching by splitting the control plane and data plane in network devices. However, the security resource utilization now in SDN is inefficient, especially in the process of routing path construction. In this paper, we present a novel model for SDN controller to construct secure routing paths based on Network Security Virtualization...
IEEE 802.11 Wireless Local Area Networks (WLANs) has become one of the most popular networking environments. With high density WLANs, it causes the interference among access points (APs) and degrades the performance of APs, especially in public area. To solve this problem, we design and implement a Cluster-based Channel Assignment (CCA), a combination of RSS-Aware Channel Selection Module (RCSM) and...
Dedicated brain PET has the potential to achieve better sensitivity, spatial resolution and image quality than conventional whole body PET cameras in brain tomography. Spherical PET (S-PET), that can achieve a higher geometrical sensitivity and a lower parallax error than conventional cylindrical ring PET scanners, is a good candidate for high performance dedicated brain imaging. Our simulation studies...
The variable stepsize methods are effective to accelerate many iteration algorithms, one aim of them is to construct an adaptive stepsize, which has more simple and efficient format. The purpose of this paper is to introduce a new simpler variable stepsize for the CQ (Convexes C and Q) algorithm and to reconstruct the sparse compressed sensing data from noise. In order to solve the split feasibility...
In this paper we detail the silicon-package electrical co-design of a 45nm CMOS, 400MHz to 4GHz, 3GPP TDD & FDD, RF-to-Serdes base station transceiver system on chip (SoC). Electrical optimization of the silicon-package RF paths, to achieve desired performance, was achieved through a coupled circuit-to-electromagnetic co-design modeling and simulation flow. Laboratory measurements, on a real SoC...
Point-of-care biosensor devices can be important tools for monitoring and diagnosing health conditions in areas where conventional lab based testing is not practical or possible. A versatile, inexpensive, and portable biosensor has been designed to detect a variety of metabolites for metabolomic testing and disease diagnosis. The sensor works by detecting the electrical impedance change of micro fabricated...
This paper is concerned with output feedback stabilization problem for a class of sampled-data systems under stochastic sampling. Different from the existing results, a systems matrix A whose eigenvalues contain zero is allowed. By combining the Kronecker product operation with the Vandermonde matrix, a sufficient condition is developed to guarantee the stochastic stability of the closed-loop system...
This paper provides an exploration of tuning the reflection efficiency of the metasurface in terahertz range. The dual-loop element is taken as an example, in which the metal conductivity and surface roughness are modelled to fit the measured results of the fabrication metasurface prototype at ∼0.75THz. Some critical conclusions can be drawn from this research in terms of the fabrication precision...
Subharmonic imaging (i.e., receiving signal at half the transmitting frequency) is a promising technique to detect ultrasound contrast agents in the circulation. The aim of this study was to characterize the subharmonic enhancement of four new microbubble formulations (MBF-1 to 4), compared with three commercially-available contrast agents (Definity, Sonazoid and SonoVue), and to compare this subharmonic...
Wireless Sensor Network(WSN) has become a hot topic in recent years. However, WSN's application areas still been limited beacase of the constrained energy. Traditionally, using the minimal transmitting power of sensor node by k-hop interference model is a popular way. However, network activity was not considered. In this paper, we derived a normal transmitted power level using network activity aware...
We implement a collision prevention system, called pSafety, which instantaneously informs pedestrians and drivers of the potential threatening accidents. Unlike other systems, pSafety alerts pedestrians of threatening vehicles coming from not only the line-of-sight, but also non-line-of-sight due to obstructions of the wall corner or other vehicles. pSafety collects GPS information from smartphones...
In this tutorial evolution of transistors from planar technology will be discussed. Scaling limitations of conventional transistors that led to development of Finfet (or 3D) transistors will be presented in detail. Circuit Design challenges associated with 3D transistors will be analysed in this tutorial. Lastly, a brief overview of future transistor architectures beyond Finfet's will be provided.
Quantum-well infrared photodetectors (QWIPs) have become research focus in recent years due to its many inherent properties. However, the measurement of internal parameters is very difficult; instead, computer simulation and device modeling provide a better way to analyze quantum structure devices. In order to solve this issue, the electronics performance and the optical performance of a QWIP fabricated...
With the growing popularity of mobile devices, the trend in the field of system-on-chip has shifted from high performance to low power operation. However, traditional design methodology is limited by the design margins reserved for process, voltage and temperature variations. Therefore, a systematic solution that enables real-time timing error detection and correction was proposed to eliminate redundant...
Registration is an important task in augmented reality (AR) systems. For markerless AR, feature descriptors are generally used as a basis of registration process, which is expected to be robust for various application scenarios. This work aims at exploring effective schemes to improve the registration results, especially for applications with large viewpoint angles. Using the proposed scheme, the...
Traditional models for saliency analysis in satellite images cannot genuinely mimic the selection mechanism of human vision system. Furthermore, feature selection needs variant considering the complexity of data distribution of different satellite images thereby not being one-size-fits-all. Aiming at these problems, we propose a novel model based on sparse representation for saliency analysis with...
Selecting local features is crucial in generating robust compact descriptors for mobile visual search. The state-of-the-art MPEG Compact Descriptors for Visual Search (CDVS) standard has utilized the intrinsic characteristics (e.g., scale, orientation, peak, center distance, etc.) of interest points to select salient local features for selective aggregation and compression of local feature descriptors...
This paper presents a fast algorithm for deriving the defocus map from a single image. Existing methods of defocus map estimation often include a pixel-level propagation step to spread the measured sparse defocus cues over the whole image. Since the pixel-level propagation step is time-consuming, we develop an effective method to obtain the whole-image defocus blur using oversegmentation and transductive...
Saliency analysis is an effective method to extract interesting target regions from satellite images. However, when the satellite image contains salient background information, it is difficult to eliminate this information accurately only using single image saliency analysis. In this paper, a novel multiimage saliency analysis (MSA) model based on multiple multispectral images clustering saliency...
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