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Tag Archive: Ns2 Projects for students

An Ultra Wideband to Dual Band Switchable Antenna Design for Wireless Communication Applications

A switchable planar monopole antenna operating in ultra-wide band and dual band mode is demonstrated. The switching is triggered with a photoconductive semiconductor switch triggered by light emitting diode. In the switched-off state, the antenna operates in the dual-band/UWB mode, while in the switch-on state the configuration converts to a dual band antenna due to […]

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Multi-Band Compact Antenna for Smartphones Supporting LTE Carrier Aggregation

In this paper, we are proposing a dual feed compact antenna for a mobile phones that is capable of supporting the latest features of LTE, Carrier Aggregation (CA), which has been introduced to satisfy the ever increasing demand for data-rate. The antenna makes use of a dual resonator design to cover the low bands used […]

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VLSI Design for Convolutive Blind Source Separation

This work presents an efficient VLSI architecture design for convolutive blind source separation (CBSS). The CBSS separation network derived from information maximization (Infomax) approach is adopted. The proposed CBSS chip design consists mainly of Infomax filtering modules and scaling factor computation modules. In an Infomax filtering module, input samples are filtered by an Infomax filter with the […]

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EJS, JIL Server and LabVIEW: How to build a remote lab in the blink of an eye

Designing and developing web-enabled remote laboratories for pedagogical purposes is not an easy task. Often, developers (generally, educators who know the subjects they teach but lack of the technical and programming skills required to build Internet-based educational applications) end up discarding the idea of exploring these new teaching and learning experiences mainly due to the […]

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A hybrid Genetic Algorithm for Vehicle Routing Problem with Time Windows

The Vehicle Routing Problem with Time Windows (VRPTW) consists of a homogenous set of vehicles and a set of customer located in a city. In VRPTW all the vehicles starts from the depot visit the customer and end at the depot. Each customer is visited exactly by one vehicle within the specified time window. The […]

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Impact of BS antenna number and array geometry on single-user LTE-A data throughputs in realistic Macro and Pico cellular environments

This paper evaluates the theoretic performance of single-user multi-stream beamforming for heterogeneous LTE-A urban deployments (i.e. Macro and Pico cells). The work investigates the impact of six different Base Station (BS) antenna configurations on system level capacity. Our standard configuration assume 8 BS and 8 User Equipment (UE) antenna elements. To enhance capacity the BS […]

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X-Duplex: Adapting of Full-Duplex and Half-Duplex

A novel hybrid model selection method between Half-Duplex (HD) and Full-Duplex (FD), is proposed in this paper. The aim of X-Duplex is to maximize the instantaneous system capacity. The system can be configured as either HD or FD mode, by adaptively configuring the antenna as either transmit or receive antenna. HD halves the symbol rate […]

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Adaptively determining regularisation parameters in non-local total variation regularisation for image denoising

A non-local selection scheme of regularisation parameters is exploited for non-local total variation (NLTV) regularisation, based on a content-aware function that can determine regularisation parameters through discriminating image contents, with the aid of a non-local structure tensor calculated using the weights from the original NLTV. Experimental results on simulated and real noisy images show the […]

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High-diversity space division multiplexing visible light communication utilizing a fisheye-lens-based imaging receiver

The verification experiment of the high-spatial-diversity fisheye-lens-based SDM VLC system is demonstrated. High spatial diversity is obtained, and an aggregate data rate of over 1.1 Gbit/s is achieved.

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Online adaptative zero-shot learning spoken language understanding using word-embedding

Many recent competitive state-of-the-art solutions for understanding of speech data have in common to be probabilistic and to rely on machine learning algorithms to train their models from large amount of data. The difficulty remains in the cost and time of collecting and annotating such data, but also to update the existing models to new […]

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