Smart Metering Enables Effective Demand Management Design

The water demand and water use practices of each community are different. Designing cost-effective demand management programs requires investigating and responding directly to the unique water issues and opportunities of each community (Turner et al., 2010). As presented in this paper, a `mixed method baseline analysis' has proven to be valuable in developing a demand management program tailored to the distinctive community context. A mixed method baseline analysis is comprised of two interlinked components: (i) quantitative smart meter data analysis to create a detailed understanding of the water demand pro¬file; and (ii) qualitative social research to understand the social, cultural and institutional influences that drive existing water patterns. This paper shares the mixed method baseline analysis and resulting implications for a demand management program implemented in the remote Indigenous community of Gunbalanya, Northern Territory, in 2013

Cascaded Microwave Photonic Filters for Side Mode Suppression in a Tunable Optoelectronic Oscillator applied to THz Signal Generation & Transmission

We demonstrate experimentally an optoelectronic oscillator (OEO) in which high side-mode suppression is achieved by cascading a phase modulator-based single passband tunable microwave photonic (MWP) filter with an optoelectronic feedback loop-based infinite impulse response (IIR) MWP filter. The OEO provides an RF oscillation that can be tuned from 6.5 GHz to 17.8 GHz with a phase noise lower than -103 dBc/Hz. Experimental results show that inclusion of the IIR section leads to a 20 dB reduction of phase noise close to the carrier and an increase of 10 dB in side mode suppression, compared to the equivalent OEO without an IIR section. The OEO was used to drive an optical frequency comb generator to generate a THz signal at 242.6 GHz by optical heterodyning; inclusion of the IIR section increases suppression of the side modes neighboring the THz carrier. A radio over fiber link was then implemented at a 242.6 GHz carrier frequency, with transmission of a 24 Gbps signal over 40 km of fiber and a 30 cm wireless path at a bit error rate below the forward error correction limit. The proposed system may be applied to frequency reconfigurable THz links and radars

Tunable THz Signal Generation and Radioover-Fiber Link based on an Optoelectronic Oscillator-driven Optical Frequency Comb

We propose and demonstrate experimentally a photonic THz signal generation technique based on a tunable optoelectronic oscillator (OEO), and its application in a radio over fiber (RoF) link. The OEO's is tuned by varying the bandwidth of a tunable optical bandpass filter (TOBF) that is cascaded with a phase modulator (PM). The resulting tunable microwave photonic filter is used to generate OEO oscillations from 6.58 GHz up to 18.36 GHz (with a phase noise of ≤−103dBc/Hz at 10 kHz offset from the carrier frequency). The OEO is subsequently used to drive an optical comb, generating 22 comb lines with a frequency spacing of 17.33 GHz covering a bandwidth of 360 GHz within a 20 dB envelope. By selecting two optical comb lines with a wavelength selective switch (WSS) and beating them in a uni-traveling carrier photodiode (UTC-PD), THz signals are generated at 101.5 GHz and 242.6 GHz with phase noise of -90 dBc/Hz and -78 dBc/Hz, respectively at 10 kHz offset from carrier frequency. Tunable mm-wave and THz signals can be generated either by changing the OEO oscillation frequency or the selected comb lines. Using the OEO driven OFCG, we implemented a RoF link at 242.6 GHz with a data rate of 24 Gbps over a wireless distance of 30 cm and with a bit error rate (BER) below the hard decision forward error correction (FEC) limit of 3.8×10−3 . This method allows the creation of an allphotonic frequency reconfigurable THz signal generator and RoF system

Demonstration of Photonic Integrated RAU for Millimetre-wave Gigabit Wireless Transmission

This work reports the performance of a wireless transmission link based on a radio access unit (RAU) implemented in photonic integrated circuit (PIC) form. The PIC contains a high speed photodiode for direct optical to RF conversion, monolithically integrated with a semiconductor laser, used as an optical local oscillator for up-conversion of the incoming 16-QAM-OFDM signal through heterodyning. Wireless transmission was demonstrated with a spectral efficiency as high as 3 bits/s/Hz at 60 GHz carrier and with 1.2 Gb/s transmission rate. Moreover, the RAU based on a broad bandwidth photodiode integrated with a tuneable laser allowed for a compact unit that could operate at carrier frequencies up to 100 GHz

Lagrangian Reachabililty

We introduce LRT, a new Lagrangian-based ReachTube computation algorithm that conservatively approximates the set of reachable states of a nonlinear dynamical system. LRT makes use of the Cauchy-Green stretching factor (SF), which is derived from an over-approximation of the gradient of the solution flows. The SF measures the discrepancy between two states propagated by the system solution from two initial states lying in a well-defined region, thereby allowing LRT to compute a reachtube with a ball-overestimate in a metric where the computed enclosure is as tight as possible. To evaluate its performance, we implemented a prototype of LRT in C++/Matlab, and ran it on a set of well-established benchmarks. Our results show that LRT compares very favorably with respect to the CAPD and Flow* tools.Comment: Accepted to CAV 201

Photonic THz Generation using Optoelectronic Oscillator-driven Optical Frequency Comb Generator

We propose and experimentally demonstrate a photonic THz signal generation technique combining a discrete optoelectronic oscillator (OEO) and optical frequency comb (OFC) generator. Using a microwave photonic filter (MPF), we generate an electrical oscillation up to 17.33 GHz with a phase noise of -103 dBc/Hz at 10 kHz offset frequency. The OEO frequency tunability is obtained by changing the bandwidth of a tunable optical band pass filter (TOBF). This can produce an electrical RF carrier from 6.58 GHz - 18.36 GHz. The OEOdriven optical comb generates 22 optical comb lines with a frequency spacing of 17.33 GHz covering a bandwidth of 360 GHz. By selecting two optical comb lines using a wavelength selective switch (WSS) and beating them in a uni-travelling carrier photodiode (UTC-PD), a THz wave is generated at 242.6 GHz with a phase noise of -78 dBc/Hz at 10 kHz offset frequency. This technique has potential for use in THz signal generation where it is possible to tune the THz carrier frequency by tuning the RF carrier generated from the OEO

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions

International audienceCardiac electrophysiology (EP) models achieved good progress in simulating cardiac electrical activity. However numerical issues and computational times hamper clinical applicability of such models. Moreover , personalisation can still be challenging and model errors can be difficult to overcome. On the other hand, deep learning methods achieved impressive results but suffer from robustness issues in healthcare due to their lack of physiological knowledge. We propose a novel approach which is based on deep learning in order to replace numerical integration of partial differential equations. This has the advantage to directly learn spatio-temporal correlations, which increases stability. Moreover, once trained, solutions are very fast to compute. We present first results in state estimation based on few measurements and evaluate the forecasting power of the trained network. The proposed method performed very well on this preliminary evaluation. It opens up possibilities towards data-driven personalisation, to overcome model error by learning from the data