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Tag Archive: 2016 Ns2 Projects

8GSps 6bit DAC in 0.18um SiGe technology

This paper describes the circuit design and measured performance of a 6-bit 8-GS/s current-steering DAC. A CML interface supporting the maximum conversion rate of 8Gbps is integrated in the chip. A PRBS-7 generator is built in the chip for synchronization as well as for data descrambling. In order to realize good linearity performance, a 2-2-2 […]

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Eikonal Analysis of the Boundaryless Beam Propagation Method

The boundaryless beam propagation method has been reported to suffer from reflections due to frequency aliasing. We propose an alternate explanation of reflection in the method, based on eikonal analysis of the wave equation in the mapped space, and show that reflection starts much before aliasing happens. We theoretically predict the reflection coefficient profile in […]

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Spun-Related Effects on Optical Properties of Spun Silica Optical Fibers

Spun-related effects on optical properties of silica optical fibers have been investigated experimentally. In addition to the previously known spun effects on polarization mode dispersion (PMD), we observed previously unknown spun-related effects on mode field diameter (MFD), cutoff wavelength and Verdet constant. These effects are significant at highly spun (short pitch length) fibers which are […]

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Traceable phase calibration of a wide-bandwidth microwave Vector Signal Analyzer

Numerous wide-bandwidth and multi-channel applications benefit from accurate test and measurement equipment which minimize the distortion of the generated and analyzed signals. Different techniques are described in literature to achieve this for Vector Signal Analyzers. This paper presents a simple traceable phase calibration technique for wide-bandwidth Vector Signal Analyzers using a comb generator which is […]

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Software Plagiarism Detection with Birthmarks based on Dynamic Key Instruction Sequences

A software birthmark is a unique characteristic of a program. Thus, comparing the birthmarks between the plaintiff and defendant programs provides an effective approach for software plagiarism detection. However, software birthmark generation faces two main challenges: the absence of source code and various code obfuscation techniques that attempt to hide the characteristics of a program. […]

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Research on a Crowdsourcing Assignment Model based on Mobile Crowd Sensing in the Internet of Things

With the powerful sensing capability of mobile smart devices, users can easily obtained the crowd sensing services with smart devices in the Internet of Things. However, credible interaction issues between mobile users are still the hard problems in the past. In this paper, we focus on how to assign the crowdsourcing sensing tasks based on […]

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Small group people behavior analysis based on temporal recursive trajectory identification

Small group people behavior analysis has attracted much attention in recent years. How to detect, track and analyze the group behavior of related people is a challenging problem. In this paper, a framework for small group people behavior analysis is proposed in video surveillance applications, which is based on temporal recursive trajectory identification. According to […]

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Phase-matched four-wave mixing by the fast light effect in fiber Bragg gratings

We demonstrate the phase-matched four-wave mixing (FWM) generation by the fast light effect in the bandgap of fiber Bragg grating. Energy conversion out of the bandgap has been realized in a low power level. The experimental result shows great agreement with the simulation.

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Multiobjective Optimization of Linear Cooperative Spectrum Sensing: Pareto Solutions and Refinement

In linear cooperative spectrum sensing, the weights of secondary users and detection threshold should be optimally chosen to minimize missed detection probability and to maximize secondary networkthroughput. Since these two objectives are not completely compatible, we study this problem from the viewpoint of multiple-objective optimization. We aim to obtain a set of evenly distributed Pareto solutions. […]

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Proximal diffusion for stochastic costs with non-differentiable regularizers

We consider networks of agents cooperating to minimize a global objective, modeled as the aggregate sum of regularized costs that are not required to be differentiable. Since the subgradients of the individual costs cannot generally be assumed to be uniformly bounded, general distributed subgradient techniques are not applicable to these problems. We isolate the requirement of bounded […]

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