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Category Archive: NS2 PROJECTS FOR M.E

A MMT-based content classification scheme for VoD service

This paper introduces a novel content classification scheme in video-on-demand (VoD) based on the emerging standard of MPEG media transport (MMT). Content classification is necessary and reasonable, due to the fact that a better user experience may be obtained if the requested video is organized and presented in different ways according to various user requirements […]

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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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I-sieve: An inline high performance deduplication system used in cloud storage

Data deduplication is an emerging and widely employed method for current storage systems. As this technology is gradually applied in inline scenarios such as with virtual machines and cloud storage systems, this study proposes a novel deduplication architecture called I-sieve. The goal of I-sieve is to realize a high performance data sieve system based on […]

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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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Reducing energy consumption in microcontroller-based platforms with low design margin co-processors

Advanced energy minimization techniques (i.e. DVFS, Thermal Management, etc) and their high-level HW/SW requirements are well established in high-throughput multi-core systems. These techniques would have an intolerable overhead in low-cost, performance-constrained microcontroller units (MCU’s). These devices can further reduce power by operating at a lower voltage, at the cost of increased sensitivity to PVT variation […]

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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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Estimation of carrier and channel parameters in time-selective fading channels

Assuming a land-mobile satellite link with negligible multipath and shadowing effects, the corresponding channel model is adequately described by a correlated Rician distribution. In this context, the estimation of carrier and channel parameters has been investigated in some earlier work by means of an algorithmic approach primarily based on heuristic considerations. In the current study, […]

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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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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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