52 research outputs found
Robust classification by a nearest mean-median rule for generalized Gaussian pattern distributions
To provide stability of classification, a robust supervised minimum distance classifier based on the minimax (in the Huber sense) estimate of location is designed for the class of generalized Gaussian pattern distributions with a bounded variance. This classifier has the following low-complexity form: with relatively small variances, it is the nearest mean rule (NMean), and with relatively large variances, it is the nearest median rule (NMed). The proposed classifier exhibits good performance both under heavy-and short-tailed pattern distribution
Randomized Push-Out Mechanisms in Priority Queuing and their Probability Characteristics
2002 Mathematics Subject Classification: 60K25.The non-preemptive priority queueing with a finite buffer is considered. A randomized push-out buffer management mechanism that allows to control very efficiently the loss probability of priority packets is introduced. The packet loss probabilities for priority and non-priority traffic are derived with the use of the generating function approach. For the standard non-randomized push-out scheme, the explicit analytic expressions are obtained. A procedure for the numerical calculation of mean queues is also proposed
Survival of Kamchatka pink salmon as result of combined influence of density regulation and environmental factors
Dynamics of stock abundance and survival is similar for the pink salmon populations from East Kamchatka and West Kamchatka, obviously because of the same large-scale environmental factors influence, as the Pacific Decadal Oscillation (PDO) and the Western Pacific pattern (WP) that correlate significantly with the pink salmon populations indices for various stages of the life cycle. The survival measured as the recruits number per parental stock (R/S) has a non-linear dependence on this environmental indices described by parabolic equations. These dependencies are used in reproductive models, which simulate observed fluctuations of R/S with high accuracy. Note that these environmental factors influence on the pink salmon survival is opposite for its odd and even generations. For example, high PDO value in November is unfavorable for survival of the pink salmons in East Kamchatka in the first year of their life (incubation) but favorable for survival of the same population in the second year (marine feeding) - that’s why strong and weak year-classes of pink salmon are alternated. Both PDO and WP indices have quasi-biennial periodicity that is a bit longer than the 2-year alternation of the pink salmon generations, hence favorable environments change their correspondence with odd or even generations from time to time, on average in approximately every 8 years. Similar regularities are supposed for other salmon species, as West Kamchatka coho salmon
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Characterization of Intergranular Fission Gas Bubbles in U-MO Fuel.
This report can be divided into two parts: the first part, which is composed of sections 1, 2, and 3, is devoted to report the analyses of fission gas bubbles; the second part, which is in section 4, is allocated to describe the mechanistic model development. Swelling data of irradiated U-Mo alloy typically show that the kinetics of fission gas bubbles is composed of two different rates: lower initially and higher later. The transition corresponds to a burnup of {approx}0 at% U-235 (LEU) or a fission density of {approx}3 x 10{sup 21} fissions/cm{sup 3}. Scanning electron microscopy (SEM) shows that gas bubbles appear only on the grain boundaries in the pretransition regime. At intermediate burnup where the transition begins, gas bubbles are observed to spread into the intragranular regions. At high burnup, they are uniformly distributed throughout fuel. In highly irradiated U-Mo alloy fuel large-scale gas bubbles form on some fuel particle peripheries. In some cases, these bubbles appear to be interconnected and occupy the interface region between fuel and the aluminum matrix for dispersion fuel, and fuel and cladding for monolithic fuel, respectively. This is a potential performance limit for U-Mo alloy fuel. Microscopic characterization of the evolution of fission gas bubbles is necessary to understand the underlying phenomena of the macroscopic behavior of fission gas swelling that can lead to a counter measure to potential performance limit. The microscopic characterization data, particularly in the pre-transition regime, can also be used in developing a mechanistic model that predicts fission gas bubble behavior as a function of burnup and helps identify critical physical properties for the future tests. Analyses of grain and grain boundary morphology were performed. Optical micrographs and scanning electron micrographs of irradiated fuel from RERTR-1, 2, 3 and 5 tests were used. Micrographic comparisons between as-fabricated and as-irradiated fuel revealed that the site of first bubble appearance is the grain boundary. Analysis using a simple diffusion model showed that, although the difference in the Mo-content between the grain boundary and grain interior region decreased with burnup, a complete convergence in the Mo-content was not reached at the end of the test for all RERTR tests. A total of 13 plates from RERTR-1, 2, 3 and 5 tests with different as-fabrication conditions and irradiation conditions were included for gas bubble analyses. Among them, two plates contained powders {gamma}-annealed at {approx}800 C for {approx}100 hours. Most of the plates were fabricated with as-atomized powders except for two as-machined powder plates. The Mo contents were 6, 7 and 10wt%. The irradiation temperature was in the range 70-190 C and the fission rate was in the range 2.4 x 10{sup 14} - 7 x 10{sup 14} f/cm{sup 3}-s. Bubble size for both of the {gamma}-annealed powder plates is smaller than the as-atomized powder plates. The bubble size for the as-atomized powder plates increases as a function of burnup and the bubble growth rate shows signs of slowing at burnups higher than {approx}40 at% U-235 (LEU). The bubble-size distribution for all plates is a quasi-normal, with the average bubble size ranging 0.14-0.18 {micro}m. Although there are considerable errors, after an initial incubation period the average bubble size increases with fission density and shows saturation at high fission density. Bubble population (density) per unit grain boundary length was measured. The {gamma}-annealed powder plates have a higher bubble density per unit grain boundary length than the as-atomized powder plates. The measured bubble number densities per unit grain boundary length for as-atomized powder plates are approximately constant with respect to burnup. Bubble density per unit cross section area was calculated using the density per unit grain boundary length data. The grains were modeled as tetrakaidecahedrons. Direct measurements for some plates were also performed and compared with the calculated quantities. Bubble density per unit grain boundary surface area was calculated by using the density per unit grain boundary length data. These data were used as input for mechanistic modeling described in section 4. Volumetric bubble density was calculated by using density per unit grain boundary surface area. Based on these data, bubble volumetric fraction was calculated. Bubble volume fraction was also calculated by using the density per unit cross section area. Bubble volume fraction was also directly measured for some plates. These three results are comparable although the direct measurement data are slightly larger than the others. Bubble volume fraction increased as a function of burnup, reaching {approx}2% of fuel volume at 3 x 10{sup 21} f/cm{sup 3}. Fission gas bubble swelling is minor compared to that of solid fission product swelling
Analysis of monitoring of agents and resistance in the division of anesthesiology – reanimation
This article presents an analysis of the monitoring of pathogens and resistance in the anesthesiology department - resuscitation of MBU TSGBKB №1 for 2018 and 2017 - before and after the implementation of the protocol of the antimicrobial therapy control strategyВ настоящей статье представлен анализ мониторинга возбудителей и резистентности в отделении анестезиологии – реанимации МБУ ЦГКБ №1 за 2018 и 2017 года - до и после внедрения протокола стратегии контроля антимикробной терапии
Infinitesimally Robust Estimation in General Smoothly Parametrized Models
We describe the shrinking neighborhood approach of Robust Statistics, which
applies to general smoothly parametrized models, especially, exponential
families. Equal generality is achieved by object oriented implementation of the
optimally robust estimators. We evaluate the estimates on real datasets from
literature by means of our R packages ROptEst and RobLox
Robust Modal Filtering and Control of the X-56A Model with Simulated Fiber Optic Sensor Failures
The X-56A aircraft is a remotely-piloted aircraft with flutter modes intentionally designed into the flight envelope. The X-56A program must demonstrate flight control while suppressing all unstable modes. A previous X-56A model study demonstrated a distributed-sensing-based active shape and active flutter suppression controller. The controller relies on an estimator which is sensitive to bias. This estimator is improved herein, and a real-time robust estimator is derived and demonstrated on 1530 fiber optic sensors. It is shown in simulation that the estimator can simultaneously reject 230 worst-case fiber optic sensor failures automatically. These sensor failures include locations with high leverage (or importance). To reduce the impact of leverage outliers, concentration based on a Mahalanobis trim criterion is introduced. A redescending M-estimator with Tukey bisquare weights is used to improve location and dispersion estimates within each concentration step in the presence of asymmetry (or leverage). A dynamic simulation is used to compare the concentrated robust estimator to a state-of-the-art real-time robust multivariate estimator. The estimators support a previously-derived mu-optimal shape controller. It is found that during the failure scenario, the concentrated modal estimator keeps the system stable
The effect of work pace on workload, motor variability and fatigue during simulated light assembly work
This study investigated the effect of work pace on workload, motor variability and fatigue during light assembly work. Upper extremity kinematics and electromyography (EMG) were obtained on a cycle-to-cycle basis for eight participants during two conditions, corresponding to "normal" and "high" work pace according to a predetermined time system for engineering. Indicators of fatigue, pain sensitivity and performance were recorded before, during and after the task. The level and variability of muscle activity did not differ according to work pace, and manifestations of muscle fatigue or changed pain sensitivity were not observed. In the high work pace, however, participants moved more efficiently, they showed more variability in wrist speed and acceleration, but they also made more errors. These results suggest that an increased work pace, within the range addressed here, will not have any substantial adverse effects on acute motor performance and fatigue in light, cyclic assembly work. © 2011 Taylor & Francis
DYNAMIC DEFORMING CYLINDRICAL GLASS-AND-PLASTIC PIPES, FILLED BY LIQUID, UNDER INNER IMPULSE LOADING
The manuscript is devoted to the working out of non-classical model of dynamical behavior of thin walled cylindrical pipe containing compressive liquid under action of blast pressure. A chemical explosive is situated on the axis of the pipe
Robust minimax detection of a weak signal in noise with a bounded variance and density value at the center of symmetry
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