Parallel detrended fluctuation analysis for fast event detection on massive PMU data

("(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.")Phasor measurement units (PMUs) are being rapidly deployed in power grids due to their high sampling rates and synchronized measurements. The devices high data reporting rates present major computational challenges in the requirement to process potentially massive volumes of data, in addition to new issues surrounding data storage. Fast algorithms capable of processing massive volumes of data are now required in the field of power systems. This paper presents a novel parallel detrended fluctuation analysis (PDFA) approach for fast event detection on massive volumes of PMU data, taking advantage of a cluster computing platform. The PDFA algorithm is evaluated using data from installed PMUs on the transmission system of Great Britain from the aspects of speedup, scalability, and accuracy. The speedup of the PDFA in computation is initially analyzed through Amdahl's Law. A revision to the law is then proposed, suggesting enhancements to its capability to analyze the performance gain in computation when parallelizing data intensive applications in a cluster computing environment

Parallel detrended fluctuation analysis for fast event detection on massive PMU data

("(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.")Phasor measurement units (PMUs) are being rapidly deployed in power grids due to their high sampling rates and synchronized measurements. The devices high data reporting rates present major computational challenges in the requirement to process potentially massive volumes of data, in addition to new issues surrounding data storage. Fast algorithms capable of processing massive volumes of data are now required in the field of power systems. This paper presents a novel parallel detrended fluctuation analysis (PDFA) approach for fast event detection on massive volumes of PMU data, taking advantage of a cluster computing platform. The PDFA algorithm is evaluated using data from installed PMUs on the transmission system of Great Britain from the aspects of speedup, scalability, and accuracy. The speedup of the PDFA in computation is initially analyzed through Amdahl's Law. A revision to the law is then proposed, suggesting enhancements to its capability to analyze the performance gain in computation when parallelizing data intensive applications in a cluster computing environment

Ischemic Preconditioning: Effects on pH, Na and Ca in Newborn Rabbit Hearts During Ischemia/Reperfusion

In adult hearts, ischemic preconditioning (PC) has been shown to decrease ischemia-induced changes in intracellular pH (pHi) and [Ca] ([Ca]i) and decrease associated injury. These results are consistent with the interpretation that PC decreases the stimulus for Na uptake via Na/H exchange, thereby decreasing intracellular Na (Nai) accumulation, and thus decreasing the change in force driving Na/Ca exchange, which otherwise contributes to ischemia-induced increases in [Ca]i. Given documented age-related differences in myocardial responses to ischemia, we tested the hypothesis that in newborn hearts, PC will diminish intracellular [H], Nai, and [Ca]i during ischemia/reperfusion. NMR was used to measure pHi, Nai, [Ca]i, ATP, and PCr in isolated newborn (4-7 days) rabbit hearts Langendorff-perfused with Krebs-Henseleit solution equilibrated with 95% O2/5% CO2 at 36+/-1 degrees C. Control hearts were perfused 30 min before initiating 40 min global ischemia followed by 40 min reperfusion. PC hearts were treated the same except four 5-min intervals of ischemia each followed by 10 min of perfusion which preceded global ischemia. At end ischemia, pHi was higher in PC than control hearts (6.31+/-0.03 v 5.83+/-0.05; P<0.05). Similarly, PC diminished Nai-accumulation during ischemia and reperfusion (P<0.05). Control Nai rose from 16.2+/-2.6 to 108.8+/-10.3 (mEq/kg dry weight) and recovered to 55.2+/-10.1 and the corresponding values for PC hearts were 25.6+/-6.2, 70.0+/-7.9 and 21.9+/-5.2. PC also improved [Ca]i recovery during reperfusion (P<0.05). Control [Ca]i rose from 418+/-43 to 1100+/-78 (nm/l) and recovered to 773+/-63, whereas in PC hearts the values were 382+/-40, 852+/-136 and 371+/-45, respectively. In addition, PC decreased coronary resistance during reperfusion (P<0.05) as reflected by lower perfusion pressures under constant flow conditions (65.9+/-1.5 v 56. 1+/-4.1 mmHg at end of reperfusion). Finally, PC improved recovery of left-ventricular developed pressure (LVDP-43.8+/-12.0 v 17.2+/-3. 0% of control; P<0.05) and diminished CK release (607+/-245 v 2432+/-639 IU/g dry weight; P<0.05) during reperfusion. The results are consistent with the hypothesis

Ethylisopropylamiloride Diminishes Changes in Intracellular Na, Ca and pH in Ischemic Newborn Myocardium

Numerous studies suggest that in adult hearts myocardial ischemic injury is in part the result of proton stimulation of Na/H exchange which increases intracellular Na (Nai) and thus leads to increases in intracellular Ca concentration ( [Ca]i) due to changes in Na/Ca exchange flux. Corollary to the hypothesis, inhibition of Na/H exchange diminishes Na and Ca accumulation and improves heart function after ischemia. To test this hypothesis and its corollary in newborn hearts, NMR spectroscopy was used to measure intracellular pH (pHi), Nai, [Ca]i, and high energy phosphates in isolated, 4-7-day-old rabbit hearts, Langendorff-perfused with Krebs-Henseleit solution at pH 7.4+/-0.5 equilibrated with 95% O2/5% CO2 at 36+/-1 degrees C. Control hearts were perfused for 30 min before initiating 40 min of global ischemia followed by 40 min of reperfusion. In a second group of hearts ethylisopropylamiloride (EIPA-10 microM) was added to the perfusate 20 min before global ischemia to inhibit Na/H exchange. After 15 min ischemia, pHi in EIPA-treated hearts (6.41+/-0.04) was higher than that of the control hearts (6.20+/-0.08; P<0.05). EIPA also limited the increase in Nai and [Ca]i during ischemia and improved Nai and [Ca]i recovery during reperfusion (P<0.05). Nai (mEq/kg dry weight) rose from 18. 1+/-3.2 to 110.6+/-14.0 and recovered to 53.3+/-12.3 in the control group. The corresponding Nai values for EIPA-treated hearts were 16. 2+/-2.4, 39.6+/-9.6 and 12.6+/-3.5, respectively. In control hearts [Ca]i (nM/l) rose from 332+/-42 to 1157+/-89 and recovered to 842+/-55, whereas in EIPA-treated hearts the values were 255+/-32, 616+/-69 and 298+/-34, respectively. EIPA also preserved cellular ATP during ischemia and reperfusion and diminished inorganic phosphate during reperfusion (P<0.05). Finally, EIPA treatment improved recovery of left ventricular developed pressure (68.2+/-8.9 v 16.2+/-3.6% of control) and limited myocardial injury as indicated by decreased total creatine kinase release during reperfusion (348+/-132 v 2432+/-639 IU/g dry weight). Thus, as in adults, the results from newborn hearts are consistent with the hypothesis

Defect formation beyond kibble-zurek mechanism and holography

We study the dynamic after a smooth quench across a continuous transition from the disordered phase to the ordered phase. Based on scaling ideas, linear response and the spectrum of unstable modes, we develop a theoretical framework, valid for any second order phase transition, for the early-time evolution of the condensate in the broken phase. Our analysis unveils a novel period of non-adiabatic evolution after the system passes through the phase transition, where a parametrically large amount of coarsening occurs before a well-defined condensate forms. Our formalism predicts a rate of defect formation parametrically smaller than the Kibble-Zurek prediction and yields a criterion for the break-down of Kibble-Zurek scaling for sufficiently fast quenches. We numerically test our formalism for a thermal quench in a 2 + 1 dimensional holographic superfluid. These findings, of direct relevance in a broad range of fields including cold atom, condensed matter, statistical mechanism and cosmology, are an important step towards a more quantitative understanding of dynamical phase transitions.We thank Laurence Yaffe for useful discussions. The work of P. M. C. is supported by the Fundamental Laws Initiative of the Center for the Fundamental Laws of Nature at Harvard University. The work of H. L. is partially supported by the U.S. Department of Energy (DOE) under Cooperative Research Agreement No. DE-FG0205ER41360. A. M. G.-G. was supported by Engineering and Physical Sciences Research Council, Grant No. EP/I004637/1; Fundação para a Ciência e a Tecnologia, Grant No. PTDC/FIS/111348/2009; and a Marie Curie International Reintegration Grant No. PIRG07-GA-2010-268172.This is the final version of the article. It first appeared from APS via http://dx.doi.org/10.1103/PhysRevX.5.02101

Modeling the effects of p-modulation doping in InAs quantum dot devices

a modeling routine has been developed to quantify the effects of p-modulation doping in the waveguide core region of InAs quantum dot (QD) devices. Utilizing one dimensional approximations, simulated outputs of reverse and forward devices are simulated providing insight into absorption and gain properties

Call to claim your prize: Perceived benefits and risk drive intention to comply in a mass marketing scam.

Mass marketing scams extract an enormous toll, yet the literature on scams is just emerging. In Experiment 1, 211 adults reviewed a solicitation and rated their intention of contacting an "activation number" for a prize. Scarcity and authority were manipulated. Many (48.82%) indicated some willingness to contact to "activate" the winnings. Intention of responding was inversely related to the perception of risk (b = -.441, p < .001) and positively associated with perception of benefits (b = .554, p < .001), but not with the experimental condition. In Experiment 2, 291 adults were randomly assigned to one of the three conditions (low, medium, or high activation fee), and were asked to report willingness to contact. Activation fees decreased intent to contact, but percentages remained high (25.70%), with higher perception of risk reducing contact rates (b = -.581, p < .001), and benefit perception increasing intent to contact (b = .381, p < .001). Our studies indicate that consumers are responding to perceived risks and benefits in their decision-making, regardless of persuasion elements used by scammers. In summary, our studies find that consumers with lower levels of education and high perception of benefits are at increased risk for mass marketing scams. (PsycINFO Database Recor

Reduced expression of AMPK-β1 during tumor progression enhances the oncogenic capacity of advanced ovarian cancer

AMP-activated protein kinase (AMPK) is a key energy sensor that is involved in regulating cell metabolism. Our previous study revealed that the subunits of the heterotimeric AMPK enzyme are diversely expressed during ovarian cancer progression. However, the impact of the variable expression of these AMPK subunits in ovarian cancer oncogenesis remains obscure. Here, we provide evidence to show that reduced expression of the AMPK-beta1 subunit during tumor progression is associated with the increased oncogenic capacity of advanced ovarian cancer cells. Immunohistochemical analysis revealed that AMPK-beta1 levels were reduced in advanced-stage (P = 0.008), high-grade (P = 0.013) and metastatic ovarian cancers (P = 0.008). Intriguingly, down-regulation of AMPK-beta1 was progressively reduced from tumor stages 1 to 3 of ovarian cancer. Functionally, enforced expression of AMPK-beta1 inhibited ovarian-cancer-cell proliferation, anchorage-independent cell growth, cell migration and invasion. Conversely, depletion of AMPK-beta1 by siRNA enhanced the oncogenic capacities of ovarian cancer cells, suggesting that the loss of AMPK-beta1 favors the aggressiveness of ovarian cancer. Mechanistically, enforced expression of AMPK-beta1 increased AMPK activity, which, in turn, induced cell-cycle arrest via inhibition of AKT/ERK signaling activity as well as impaired cell migration/invasion through the suppression of JNK signaling in ovarian cancer cells. Taken together, these findings suggest that the reduced expression of AMPK-beta1 confers lower AMPK activity, which enhances the oncogenic capacity of advanced-stage ovarian cancer.published_or_final_versio

An implementation of synthetic generation of wind data series

Wind power fluctuation is a major concern of large scale wind power grid integration. To test methods proposed for wind power grid integration, a large amount of wind data with time series are necessary and will be helpful to improve the methods. Meanwhile, due to the short operation history of most wind farms as well as limitations of data collections, the data obtained from wind farms could not satisfy the needs of data analysis. Consequently, synthetic generation of wind data series could be one of the effective solutions for this issue. In this paper, a method is presented for generating wind data series using Markov chain. Due to the high order Markov chain, the possibility matrix designed for a wind farm could cost a lot of memory, which is a problem with current computer technologies. Dynamic list will be introduced in this paper to reduce the memory required. Communication errors are un-avoidable on long way signal transmission between the control centre and wind farms. Missing of data always happens in the historical wind data series. Using these data to generate wind data series may result in some mistakes when searching related elements in the probability matrix. An adaptive method will be applied in this paper to solve the problem. The proposed method will be verified using a set of one-year historical data. The results show that the method could generate wind data series in an effective way. © 2013 IEEE.published_or_final_versio

Low latency optical switch for high performance computing with minimized processor energy load [Invited]

Power density and cooling issues are limiting the performance of high performance chip multiprocessors (CMPs), and off-chip communications currently consume more than 20% of power for memory, coherence, PCI, and Ethernet links. Photonic transceivers integrated with CMPs are being developed to overcome these issues, potentially allowing low hop count switched connections between chips or data center servers. However, latency in setting up optical connections is critically important in all computing applications, and having transceivers integrated on the processor chip also pushes other network functions and their associated power consumption onto the chip. In this paper, we propose a low latency optical switch architecture that minimizes the power consumed on the processor chip for two scenarios: multiple-socket shared memory coherence networks and optical top-of-rack switches for data centers. The switch architecture reduces power consumed on the CMP using a control plane with a simplified send and forget server interface and the use of a hybrid Mach–Zehnder interferometer and semiconductor optical amplifier integrated optical switch with electronic buffering. Results show that the proposed architecture offers a 42% reduction in head latency at low loads compared with a conventional scheduled optical switch as well as offering increased performance for streaming and incast traffic patterns. Power dissipated on the server chip is shown to be reduced by more than 60% compared with a scheduled optical switch architecture with ring resonator switching.This work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC) INTERNET program grant and an EPSRC Fellowship grant to Philip Watts. Both University College London and the University of Cambridge are members of GreenTouch.This paper was published in the Journal of Optical Communications and Networking and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://www.opticsinfobase.org/jocn/abstract.cfm?uri=jocn-7-3-A498. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law. This is the accepted manuscript of a paper published in the Journal of Optical Communications and Networking, Vol. 7, Issue 3, pp. A498-A510 (2015) http://dx.doi.org/10.1364/JOCN.7.00A49