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Tag Archive: Latest Ns2 Projects

Seclius: An Information Flow-Based, Consequence-Centric Security Metric

It is critical to monitor IT systems that are part of energy delivery system infrastructure. The problem with intrusion detection systems (IDSes) is that they often produce thousands of alerts daily that must be dealt with by administrators manually. To provide situational awareness, detection systems usually employ (alert, priority) mappings that are either built in […]

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Run and Be Safe: Mixed-criticality scheduling with temporary processor speedup

Mixed-Criticality systems are arising due to the push from several major industries including avionics and automotive, where functionalities with different safety criticality levels are integrated into a modern computing platform to reduce size, weight and energy. The state-of-the-art research has focused on protecting critical tasks under the threat of task overrun, which is achieved by […]

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Investigation of Gallium Nitride devices benefits on LLC resonant DC-DC converter

This paper investigates the Gallium Nitride (GaN) devices benefits on the LLC resonant DC-DC converter. First, the relationship between the device parameters and converter current based on an analytical loss model of LLC resonant converter has been established. After that, the loss analysis and comparison between Si-based and GaN-based converter is presented. The GaN-based design […]

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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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Adaptive pre-equalization using bidirectional pilot sequences to estimate and feed back amplitude transfer function and chromatic dispersion

We propose an adaptive pre-equalization system that compensates the amplitude transfer function and chromatic dispersion using estimates transmitted from the receiver. Two kinds of pilot sequences are used for estimation and mutual communication.

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PerSEE: A central sensors fusion electronic control unit for the development of perception-based ADAS

Automated vehicles and Advanced Driver Assistance Systems (ADAS) face a variety of complex situations that are dealt with numerous sensors for the perception of the local driving area. Going forward, we see an increasing use of multiple, different sensors inputs with radar, camera and inertial measurement the most common sensor types. Each system has its […]

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Reactive Power Loss Versus GIC Characteristic of Single-Phase Transformers

An analytical method is employed to characterize the reactive power loss of a single-phase transformer when subjected to geomagnetically induced current (GIC). A general closed-form formula is proposed to calculate the reactive power loss of the transformer as a function of the applied voltage, air-core inductance, and GIC. The developed equation reveals that the reactive […]

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A post-haiyan community level mobility model

For the past decade, there has been an increase in the frequency and impact of natural disasters. Information and communications technology (ICT) can be used to minimize the impact of disasters in many ways. However, before deployment, disaster-related ICT systems need to be tested and validated using the appropriate modeling and simulation tools. In this […]

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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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CDI Precoding for Massive MIMO

We discuss the benefits of a linear precoding stage based solely on second order information of the channel with application to massive MIMO networks. Specifically, the proposed channel distribution information (CDI) precoding is used to completely suppress the interference caused by pilot contamination, thus leading to a significant gain in spectral efficiency for pilotcontamination limited massive […]

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