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Category Archive: NS2 PROJECTS FOR B.TECH

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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Parallel Quantum Computing Teleportation for Spin Qubits in Quantum Dot and Microcavity Coupled System

We investigate the possibility of achieving a nonlocal parallel quantum computation by using hyperentangled photon pairs, quantum-dot spins, and optical-microcavities. Exploiting a pair of hyperentangled photons, the two nonlocal parties in a quantum network can perform a deterministic hyper-controlled-Z gate operation on two spins. With the parallel quantum computation operation, two identical cluster states can be built […]

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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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A verify-correct approach to person re-identification based on Partial Least Squares signatures

In the surveillance field, it is very common to have camera networks covering large crowded areas. Not rarely, cameras in these networks do not share the same field of view and they are not always calibrated. In these cases, common problems such as tracking cannot be directly applied as the information from one camera must be also consistent with […]

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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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An Efficient Algorithm for Calculating the Exact Hausdorff Distance

The Hausdorff distance (HD) between two point sets is a commonly used dissimilarity measure for comparing point sets and image segmentations. Especially when very large point sets are compared using the HD, for example when evaluating magnetic resonance volume segmentations, or when the underlying applications are based on time critical tasks, like motion detection, then […]

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Pulse Shaping for Satellite Systems with Time Packing: An Eigenfilter Design

Spectrum efficiency is becoming a major issue in satellite communications due to the dramatically increasing data rates requirements and the competition with terrestrial networks. The time packing strategy, by allowing to optimally exploit the available bandwidth without resorting to higher-order constellations, is a promising solution that has gained interest in the last years. The provided spectral […]

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High gain Microstrip Antenna design for 2.4GHz WLAN application

IEEE 802.11x standard widely used in wireless local area network systems is called Wi-Fi as well. In this study high gain Microstrip Antenna (MA) design is presented for 2.4 GHz WLAN application. Simulations were made on parameters such as the geometry and size of antennas, type of dielectric material, the thickness of substrate for most appropriate designing […]

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Noise properties of ideal memristors

This work investigates how the presence of thermal noise influences the response of simple networksincorporating an ideal memristor. First we study how a single noiseless memristor modulates noise at its input and how it manifests at its output. Then we extend our analysis to a generic resistor-memristor and capacitor-memristor network. The results reported are based on strong […]

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