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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Mahsa Shoaran Armin Tajalli Massimo Alioto Yusuf Leblebici Microelectronic Systems Laboratory (LSM) Swiss Federal Institute of Technology (EPFL) Lausanne Dept. of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (纸本)9781479983926

The jitter and the phase noise of ring oscillators utilizing subthreshold source-coupled logic (STSCL) style are analyzed in this paper. Closed-form equations are derived to predict the jitter and phase noise caused by white and flicker noise. Measurement results of a test chip fabricated in a standard CMOS 90 nm technology are presented to validate these expressions. The performed analysis shows that jitter in STSCL-based ring oscillator is independent of technology parameters, as opposed to its CMOS counterparts that depend on supply voltage and parameters of technology. Based on measured results, noise on current control line can dominate the total jitter of the oscillator. Design guidelines are proposed to limit the jitter effect of ring oscillators using STSCL logic. The proposed STSCL-based ring oscillator achieves an average RMS jitter as low as 0.24 % of the oscillation period at a 1.08 MHz/μA energy efficiency, which demonstrates its suitability for ultra-low-power applications.

关键词： Jitter Ring oscillators Noise Logic gates Delays Current measurement

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Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications

Dynamic sparse state estimation using ℓ1-ℓ1 minimization: ...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： João Mota Nikos Deligiannis Aswin C. Sankaranarayanan Volkan Cevher Miguel Rodrigues Electronic and Electrical Engineering Dept. University College London UK Department of Electronics and Informatics Vrije Universiteit Brussel Brussels Belgium Electrical and Computer Engineering Dept. Carnegie Mellon University USA Laboratory for Information and Inference Systems (LIONS) EPFL Switzerland

We propose a recursive algorithm for estimating time-varying signals from a few linear measurements. The signals are assumed sparse, with unknown support, and are described by a dynamical model. In each iteration, the algorithm solves an ℓ 1 -ℓ 1 minimization problem and estimates the number of measurements that it has to take at the next iteration. These estimates are computed based on recent theoretical results for ℓ 1 -ℓ 1 minimization. We also provide sufficient conditions for perfect signal reconstruction at each time instant as a function of an algorithm parameter. The algorithm exhibits high performance in compressive tracking on a real video sequence, as shown in our experimental results.

关键词： Minimization Compressed sensing Kalman filters Heuristic algorithms Noise measurement Standards Indexes

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Challenging local realism with human choices

arXiv

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arXiv 2018年

作者： Abellán, C. Acín, A. Alarcón, A. Alibart, O. Andersen, C.K. Andreoli, F. Beckert, A. Beduini, F.A. Bendersky, A. Bentivegna, M. Bierhorst, P. Burchardt, D. Cabello, A. Cariñe, J. Carrasco, S. Carvacho, G. Cavalcanti, D. Chaves, R. Cortés-Vega, J. Cuevas, A. Delgado, A. de Riedmatten, H. Eichler, C. Farrera, P. Fuenzalida, J. García-Matos, M. Garthoff, R. Gasparinetti, S. Gerrits, T. GhafariJouneghani, F. Glancy, S. Gómez, E.S. González, P. Guan, J.-Y. Handsteiner, J. Heinsoo, J. Heinze, G. Hirschmann, A. Jiménez, O. Kaiser, F. Knill, E. Knoll, L.T. Krinner, S. Kurpiers, P. Larotonda, M.A. Larsson, J.-Å. Lenhard, A. Li, H. Li, M.-H. Lima, G. Liu, B. Liu, Y. López Grande, I.H. Lunghi, T. Ma, X. Magaña-Loaiza, O.S. Magnard, P. Magnoni, A. Martí-Prieto, M. Martínez, D. Mataloni, P. Mattar, A. Mazzera, M. Mirin, R.P. Mitchell, M.W. Nam, S. Oppliger, M. Pan, J.-W. Patel, R.B. Pryde, G.J. Rauch, D. Redeker, K. Rieländer, D. Ringbauer, M. Roberson, T. Rosenfeld, W. Salathé, Y. Santodonato, L. Sauder, G. Scheidl, T. Schmiegelow, C.T. Sciarrino, F. Seri, A. Shalm, L.K. Shi, S.-C. Slussarenko, S. Stevens, M.J. Tanzilli, S. Toledo, F. Tura, J. Ursin, R. Vergyris, P. Verma, V.B. Walter, T. Wallraff, A. Wang, Z. Weinfurter, H. Weston, M.M. White, A.G. Wu, C. Xavier, G.B. You, L. Yuan, X. Zeilinger, A. Zhang, Q. Zhang, W. Zhong, J. 08860 Spain ICREA Institució Catalana de Recerca i Estudis Avançats Barcelona08010 Spain Center for Optics and Photonics MSI-Nucleus for Advanced Optics Universidad de Concepción Casilla 4016 Concepción Chile Departamento de Ingeniería Eléctrica Universidad de Concepción 160-C Concepción Chile Parc Valrose Nice Cedex 206108 France Quantum Device Lab Department of Physics ETH Zurich ZurichCH-8093 Switzerland Dipartimento di Fisica Sapienza Università di Roma RomaI-00185 Italy Departamento de Computación FCEyN UBA and ICC CONICET Ciudad Universitaria Pabellón 1 Buenos Aires1428 Argentina National Institute of Standards and Technology 325 Broadway BoulderCO80305 United States Ludwig-Maximilians-Universität München80799 Germany Departamento de Física Aplicada II Universidad de Sevilla Sevilla41012 Spain Departamento de Física Universidad de Concepción 160-C Concepción Chile International Institute of Physics Federal University of Rio Grande do Norte Natal59070-405 Brazil Austrian Academy of Sciences Boltzmanngasse 3 Vienna1090 Austria Centre for Quantum Computation and Communication Technology Griffith University BrisbaneQLD4111 Australia Centre for Quantum Dynamics Griffith University BrisbaneQLD4111 Australia Shanghai Branch National Laboratory for Physical Sciences at Microscale Dept. of Modern Physics University of Science and Technology of China Shanghai230026 China DEILAP CITEDEF & CONICET J.B. de La Salle 4397 1603 Villa Martelli Buenos Aires Argentina Departamento de Física FCEyN UBA and IFIBA Ciudad Universitaria Conicet Pabellón 1 Buenos Aires1428 Argentina Department of Electrical Engineering Linköping University Linköping581 83 Sweden State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China CAS Center for Excellence in Superconducting Electronics Shanghai200050 China School of Computer NUDT

A Bell test is a randomized trial that compares experimental observations against the philosophical worldview of local realism1, in which the properties of the physical world are independent of our observation of them and no signal travels faster than light. A Bell test requires spatially distributed entanglement, fast and high-efficiency detection and unpredictable measurement settings2,3. Although technology can satisfy the first two of these requirements4–7, the use of physical devices to choose settings in a Bell test involves making assumptions about the physics that one aims to test. Bell himself noted this weakness in using physical setting choices and argued that human ‘free will’ could be used rigorously to ensure unpredictability in Bell tests8. Here we report a set of local-realism tests using human choices, which avoids assumptions about predictability in physics. We recruited about 100,000 human participants to play an online video game that incentivizes fast, sustained input of unpredictable selections and illustrates Bell-test methodology9. The participants generated 97,347,490 binary choices, which were directed via a scalable web platform to 12 laboratories on five continents, where 13 experiments tested local realism using photons5,6, single atoms7, atomic ensembles10, and superconducting devices11. Over a 12-hour period on 30 November 2016, participants worldwide provided a sustained data flow of over 1,000 bits per second to the experiments, which used different human-generated data to choose each measurement setting. The observed correlations strongly contradict local realism and other realistic positions in bipartite and tripartite12 scenarios. Project outcomes include closing the ‘freedom-of-choice loophole’ (the possibility that the setting choices are influenced by ‘hidden variables’ to correlate with the particle properties13), the utilization of video-game methods14 for rapid collection of human generated randomness, and the use of network

关键词： Testing

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Evaluating Bug Finders -- Test and Measurement of Static Code Analyzers

Evaluating Bug Finders -- Test and Measurement of Static Cod...

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IEEE/ACM International Workshop on Complex Faults and Failures in Large Software systems (COUFLESS)

作者： Aurelien Delaitre Bertrand Stivalet Elizabeth Fong Vadim Okun Dept. of Computer Science and Electrical Engineering West Virginia University Morgantown WV USA Software and Systems Division IT Laboratory National Institute of Standards and Technology Gaithersburg MD USA

Software static analysis is one of many options for finding bugs in software. Like compilers, static analyzers take a program as input. This paper covers tools that examine source code - without executing it - and output bug reports. Static analysis is a complex and generally undecidable problem. Most tools resort to approximation to overcome these obstacles and it sometimes leads to incorrect results. Therefore, tool effectiveness needs to be evaluated. Several characteristics of the tools should be examined. First, what types of bugs can they find? Second, what proportion of bugs do they report? Third, what percentage of findings is correct? These questions can be answered by one or more metrics. But to calculate these, we need test cases having certain characteristics: statistical significance, ground truth, and relevance. Test cases with all three attributes are out of reach, but we can use combinations of only two to calculate the metrics. The results in this paper were collected during Static Analysis Tool Exposition (SATE) V, where participants ran 14 static analyzers on the test sets we provided and submitted their reports to us for analysis. Tools had considerably different support for most bug classes. Some tools discovered significantly more bugs than others or generated mostly accurate warnings, while others reported wrong findings more frequently. Using the metrics, an evaluator can compare candidates and select the tool that aligns best with his or her objectives. In addition, our results confirm that the bugs most commonly found by tools are among the most common and important bugs in software. We also observed that code complexity is a major hindrance for static analyzers and detailed which code constructs tools handle well and which impede their analysis.

关键词： Software Measurement Production Complexity theory computer bugs Java NIST

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A regression based hourly day ahead solar irradiance forecasting model by labview using cloud cover data

A regression based hourly day ahead solar irradiance forecas...

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International Conference on electrical and Electronics engineering, ELECO

作者： Oğuzhan Ceylan Michael Starke Phil Irminger Ben Ollis Kevin Tomsovic Dept. of Electrical Engineering and Computer Science The University of Tennessee Knoxville TN USA Power & Energy Systems Group Oak Ridge National Laboratory Oak Ridge TN USA

This paper applies a regression based numerical method for photovoltaic power output hourly forecast. The method uses a historical data composed of irradiance, azimuth, zenith angle and time of day information. In every run of the forecast program, publicly available cloud cover forecast data for the following day is obtained, and by using a numerical regression based method a function is fit. Then by using the publicly available temperature forecast data, forecasted irradiance data, and computed solar position (zenith, azimuth) data, both power output and temperature module output of PV array is computed. Numerical forecast results show that, they are in accordance with the actual data.

关键词： Forecasting Clouds Predictive models Photovoltaic systems Mathematical model Autoregressive processes

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Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony

Wind-PV-storage optimal environomic design using multi-objec...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： H. Shayeghi M. Moradzadeh Y. Hashemi M. Saif L. Vandevelde Technical Engineering Department Ardabil Iran Dep. of Electrical and Computer Engineering University of Windsor Windsor Canada & the Electrical Energy Laboratory Ghent Belgium Centre for Engineering Innovation Dep. of Electrical and Computer Engineering University of Windsor Windsor Canada Dept. of Electrical Energy Systems and Automation & Energy knowledge platform Power-Link Ghent University Ghent Belgium

ISBN: (纸本)9781467381338

This paper proposes a multi-objective optimization formulation to design a hybrid wind-photovoltaic-storage system to supply the demand. This design problem aims to minimize the annual cost of the overall system as well as the CO2 emissions, and is solved by Artificial Bee Colony (ABC) algorithm. Solar irradiation, wind speed, and load data are assumed deterministic. Prices are all empirical and components of hybrid system are commercially available. A test system in the Northwestern Iran is investigated. The presented technique yields the optimal number of system devices such that the economic and environmental profits are maximized. A fuzzy decision making (FDM) method is applied for finding the best compromise solution from the set of Pareto-optimal solutions obtained by ABC.

关键词： Batteries Optimization Wind turbines Wind speed Renewable energy sources Frequency division multiplexing Maintenance engineering

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A concentration-of-measure inequality for multiple-measurement models

A concentration-of-measure inequality for multiple-measureme...

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IEEE International Symposium on Information Theory

作者： Liming Wangy Jiaji Huang Xin Yuan Volkan Cevher Miguel Rodrigues Robert Calderban Lawrence Carin Duke University Durham NC US Dept. of Electrical & Computer Engineering Duke University Durham NC USA Ecole Polytechnique Federale de Lausanne (EPFL) Laboratory for Information and Inference Systems Lausanne Switzerland Dept. of Electronic & Electrical Engineering University College London London U.K.

ISBN: (纸本)9781467377058

Classical compressive sensing typically assumes a single measurement, and theoretical analysis often relies on corresponding concentration-of-measure results. There are many real-world applications involving multiple compressive measurements, from which the underlying signals may be estimated. In this paper, we establish a new concentration-of-measure inequality for a block-diagonal structured random compressive sensing matrix with Rademacher-ensembles. We discuss applications of this newly-derived inequality to two appealing compressive multiple-measurement models: for Gaussian and Poisson systems. In particular, Johnson-Lindenstrauss-type results and a compressed-domain classification result are derived for a Gaussian multiple-measurement model. We also propose, as another contribution, theoretical performance guarantees for signal recovery for multi-measurement Poisson systems, via the inequality.

关键词： Sensors Linear matrix inequalities Maximum likelihood estimation Atmospheric measurements Particle measurements Adaptation models Compressed sensing

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On the Augmentation of Luenberger Observer-Based State Feedback Design for Better Robustness and Disturbance Rejection

On the Augmentation of Luenberger Observer-Based State Feedb...

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American Control Conference

作者： Wenchao Xue Zhiqiang Gao Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 P. R. China Dept. of Electrical and Computer Engineering Cleveland State University Cleveland Ohio 44115 USA

ISBN: (纸本)9781479917730

This paper addresses the fundamental problem of improving the Luenberger Observer (LO)-based feedback control so that it can deal with effectively a wide range of uncertainties, both internal and external. It is shown that the effect of such uncertainties can be estimated and cancelled in real time, all based on the yet untapped source of information: the estimation error in the existing LO. The result is quite significant in that, by augmenting the LO without changing its original structure or parameters, the LO-based design can be improved in terms of robustness and disturbance rejection. In other words, there is hidden information of uncertainties in the LO tracking error and it can be extracted, often with a mere integrator, to great benefits, as shown in both mathematical analysis and simulation studies.

关键词： Disturbance rejection Observers Uncertainty original structure State feedback mathematical analysis Information source Robustness feedback control

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Fast and very fast electromagnetic transients of three-phase three limb transformers: Theoretical approach and experiments

Fast and very fast electromagnetic transients of three-phase...

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International Aegean Conference on electrical Machines and Power Electronics, ACEMP

作者： F. Aboura S.A. Touhami A.I. Zama R. Tahmi O. Touhami K. Boughrara Lawrence Berkeley National Laboratory China Energy and Grid Integration Groups Berkeley U.S.A Electrical Engineering and Computer Science McGill University Montréal Canada Power Systems Smarter Grid Solutions Inc Saint-Lambert Canada Fraunhofer Institute for Factory Operation and Autonomation IFF Magdeburg Germany Dept. of Electrical & Computer Engineering University of Toronto Toronto Canada

This paper proposes a new model of asymmetric three-phase three legged transformers for the simulation of transient operation. In the current literature, several models yield incomplete and inaccurate results, both in the steady-state and transient operations. Among all these models, the idea of using a PI model [5] seemed the most promising. We have improved the model by taking into account the fast and very fast electromagnetic transients. An analysis is performed on over-current and overvoltage in the unbalanced three-phase asymmetrical transient behavior. The simulation results are compared with experimental ones to validate the suggested model.

关键词： Voltage control Surges Transient analysis Mathematical model Magnetic hysteresis Harmonic analysis Phase transformers

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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