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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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Capturing, recording, and analyzing LTE signals using USRPs and LabVIEW

Long Term Evolution (LTE) systems are currently playing a major role in catering the ever increasing traffic demand. Better performance and better throughput compared to other mobile communication technologies are main objectives of LTE deployments. To provide a better quality of experience, LTE signals from real base stations should be captured and analyzed, for possibly […]

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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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Hybrid Method for 3-D Gaze Tracking Using Glint and Contour Features

Glint features have important roles in gaze-tracking systems. However, when the operation range of a gaze-tracking system is enlarged, the performance of glint-feature-based (GFB) approaches will be degraded mainly due to the curvature variation problem at around the edge of the cornea. Although the pupil contour feature may provide complementary information to help estimating the […]

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Modeling interdependent critical infrastructures using open hybrid automata

Critical infrastructures (CIs) are large scale systems that are essential for the smooth and reliable operation of everyday activities in modern societies. To understand the operation characteristics of CIs, as well as the behavior of interdependencies between different CIs, we usually use modeling and simulation methodologies. In this work we propose an interdependent CI modeling […]

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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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Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework

In this paper, a machine-learning framework is used for riding pattern recognition. The problem is formulated as a classification task to identify the class of riding patterns using data collected from 3-D accelerometer/gyroscope sensors mounted on motorcycles. These measurements constitute an experimental database used to analyze powered two-wheeler rider behavior. Several well-known machine-learning techniques are […]

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PALDi: Online Load Disaggregation via Particle Filtering

Smart metering and fine-grained energy data are one of the major enablers for future smart grid and improved energy efficiency in smart homes. Using the information provided by smart meter power draw, valuable information can be extracted as disaggregated appliance power draws by non-intrusive load monitoring (NILM). NILM allows to identify appliances according to their […]

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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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Finite-time consensus for second-order multi-agent systems with saturated control protocols

This study investigates the distributed finite-time consensus problem of networked agents with second-order integrators. First of all, to achieve finite-time consensus, a saturated protocol is proposed based on both relative position and relative velocity measurements. In light of the tools from homogeneous theory, it is theoretically shown that the proposed protocol will guarantee finite-time consensus under bounded […]

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