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Tag Archive: Ns2 Projects with source code

Moment Analysis of Highway-Traffic Clearance Distribution

To help with the planning of intervehicular communication networks, an accurate understanding of traffic behavior and traffic phase transition is required. We calculate intervehicle spacings from empirical data collected in a multilane highway in California, USA. We calculate the correlation coefficients for spacings between vehicles in individual lanes to show that the flows are independent. We […]

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Machine learning for arbitrary downsizing of pre-encoded video in HEVC

In this paper, we propose a machine learning based transcoding scheme for arbitrarily downsizing a pre-encoded High Efficiency Video Coding video. The spatial scaling factor can be freely selected to adapt the output bit rate to the bandwidth of the network. Furthermore, machine learning techniques can exploit the correlation between input and output coding information to […]

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Incremental Support Vector Learning for Ordinal Regression

Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression problems. However, until now there were no effective algorithms proposed to address incremental SVOR learning due to the complicated formulations of SVOR. Recently, an interesting accurate on-line algorithm was proposed for training ν-support vector classification (ν-SVC), which can handle a quadratic formulation […]

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Anonymous multi-receiver ID-based signcryption scheme

In earlier multi-receiver signcryption schemes, in order to help the authorised receivers to find the corresponding information for decryption from the ciphertext, the list of identities of all authorised receivers should be included in the ciphertext as a necessary element. However, this method has directly led to the privacy leakage problem of receivers. Later, several […]

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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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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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Greening Geographical Load Balancing

Energy expenditure has become a significant fraction of data center operating costs. Recently, “geographical load balancing” has been proposed to reduce energy cost by exploiting the electricity price differences across regions. However, this reduction of cost can paradoxically increase total energy use. We explore whether the geographical diversity of Internet-scale systems can also provide environmental […]

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Public Space Ambient Intelligence Systems: Benefits, Approaches and Challenges

Modern public shared spaces offer a wide range of business and social functionalities. While they need to be efficiently operated, offering a secure environment is a prime objective. Manifold sensors and actuators, such as public lamps, surveillance systems or emergency phones, have been utilized in order to achieve this goal. Lights, cameras and a variate […]

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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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Matrix-pencil approach to design super-immittances

This summary paper introduces several circuitry implementations of the super-immittances, i.e. super-inductors and super-capacitors. The proposed circuits are ready neither for immediate design nor practical applications; further analysis is required here to answer stability questions or quantify other limitations. These networks are derived by using systematic procedure based on the matrix method of the unknown nodal voltages […]

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