107,619 research outputs found
Importance Sampling for a Markov Modulated Queuing Network with Customer Impatience until the End of Service
No full textFor more than two decades, there has been a growing of interest in fast simulation techniques for estimating probabilities of rare events in queuing networks. Importance sampling is a variance reduction method for simulating rare events. The present paper carries out strict deadlines to the paper by Dupuis et al for a two node tandem network with feedback whose arrival and service rates are modulated by an exogenous finite state Markov process. We derive a closed form solution for the probability of missing deadlines. Then we have employed the results to an importance sampling technique to estimate the probability of total population overflow which is a rare event. We have also shown that the probability of this rare event may be affected by various deadline values.Importance Sampling, Queuing Network, Rare Event, Markov Process, Deadline
Online Software-Based Self-Testing in the Dark Silicon Era
No full textAggressive technology scaling and intensive computations have caused acceleration in the aging and wear-out process of digital systems, hence leading to an increased occurrence of premature permanent faults. Online testing techniques are becoming a necessity in current and near future digital systems. However, state-of-the-art techniques are not aware of the other digital systems’ power/performance requirements that exist in modern multi-/many-core systems. This chapter presents an approach for power-aware non-intrusive online testing in many-core systems. The approach aims at scheduling at runtime Software-Based Self-Test (SBST) routines on the various cores to exploit their idle periods in order to benefit the potentially available power budget and minimize the performance degradation. Furthermore, a criticality metric is used to identify and rank cores that need testing at a time and power and reliability issues related to the testing at different voltage and frequency levels are taken into account. Experimental results show that the proposed approach can (1) efficiently perform cores’ testing, within less than 1?% penalty on system throughput and by dedicating only 2?% of the actual consumed power, (2) adapt to the current stress level of the cores by using the utilization metric, and (3) cover all the voltage and frequency levels during the various tests.</p
Reproductive Performance And Economic Efficiency Of Finn And Rahmani Ewes And Their Crosses
No full textABSTRACT: One hundred and fifty Finn (F) and Rahmani (R) ewes and their crosses including 10 F, 60 R, 50 1/4F 3/4R, 20 1/2F 1/2R and 10 3/4F 1/4R were allotted to fed traditional forage diet (D1) contained concentrate mixture + wheat straw plus fresh berseem, (winter diet) or plus berseem hay and green sorghum (summer diet) or agricultural by-product diet (D2) contained concentrate mixture plus fresh berseem, fresh sugar beet tops or green reed plants (winter diet) or plus dried sugar beet tops or green or dried reed plants (summer diet). Results showed that 81% of ewes were mating during the period from April to August reaching the maximum in July. However, 83% of ewes were lambing from October to April reaching maximum in December. The fertility expressed as ewe lambing per ewe exposed (EL/EE) was higher in crossbred that pure Finn and Rahmani ewes and increased with increasing Rahmani blood. The number of lamb born and weaned per ewe exposed (LB/EE and LW/EE) was higher in the first ewes crossbred of 1/2F 1/2R than the pure breeds and other crosses. Pure Finn recorded the highest number of lamb born and weaned per ewe lambing (LB/EL and LW/EL), lambing ewe per year (EL/Y) and lamb born and weaned per lambing ewe per year (LB/EL/Y and LW/EL/Y), but Rahmani had the lowest values and increased in crossbred ewes with increasing Finn blood. Pure Rahmani breed showed the lowes
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems
No full textRecently, there has been a rising awareness that when machine
learning (ML) algorithms are used to automate choices, they may
treat/affect individuals unfairly, with legal, ethical, or economic
consequences. Recommender systems are prominent examples of
such ML systems that assist users in making high-stakes judgments.
A common trend in the previous literature research on fairness
in recommender systems is that the majority of works treat user
and item fairness concerns separately, ignoring the fact that recommender systems operate in a two-sided marketplace. In this
work, we present an optimization-based re-ranking approach that
seamlessly integrates fairness constraints from both the consumer
and producer-side in a joint objective framework. We demonstrate
through large-scale experiments on 8 datasets that our proposed
method is capable of improving both consumer and producer fairness without reducing overall recommendation quality, demonstrating the role algorithms may play in minimizing data biases
A regression approach to movie rating prediction using multimedia content and metadata
No full textThis paper presents the submission of the team MASlab-ZNU to the MMRecSys movie recommendation task, as part of MediaEval 2019. The task involved predicting average movie ratings, standard deviation of ratings, and the number of ratings by using audio and visual features extracted from trailers and the associated metadata. In the proposed work, we model the rating prediction problem as a regression problem and employ different learning models for the prediction task, including ridge regression (RR), support vector regression (SVR), shallow neural network (SNN) and deep neural network (DNN). The results of fairly large amount of experiments on various models and features indicate that combination of DNN+tag features produce the best results for prediction of avgRating and StdRating while for numRating (popularity) it is the combination of RR+tag that significantly outperforms the other competitors, with a large margin
Response of macroinvertebrate communities to anthropogenic pressures in Tajan river
No full textThe Tajan River was investigated for one year in seven stations, analyzing the relationships between physical properties, water chemistry and aquatic macroinvertebrates. Biotic and diversity indices were compared with canonical unconstrained (CA) and constrained (CCA) ordination to test different methods able to estimate river ecology status. An upstream-downstream gradient was emphasized, in presence of anthropogenic stressors, coming from trout farms, paper factory, agriculture, urbanization, river regulation; the first CCA axis emphasized a natural gradient, bound to altitude, source distance, water temperature, the second CCA axis a pollution gradient. Biotic and diversity indices detected three polluted stations: S3, downstream the Korcha tributary, S6 downstream a paper factory and S7 situated after the Sari town. S4 showed high macroinvertebrates densities, which were attributed to the presence of a dam. Both multimetric and multivariate methods emphasized the need to separate the influence of natural variables from anthropogenic stressors in the Tajan River. To separate the influence of longitudinal gradient from the influence of pollution, it was suggested to evaluate the anthropogenic impact as deviation from a regression line, considering a multimetric index as dependent variable and source distance as predictor variable. The definition of reference sites was problematic in this poorly investigated area and a progress in taxonomic resolution is in any case recommended to better define the ecological status of these waters
N. Avigad, Y. Aharoni, P. Baradon, Y. Yadin, B. Lifshitz, L. Y. Rahmani, H. Nathan, et D. V. Zaitschek. — The Expedition to the Judean Desert. 1960, Jérusalem, 1961
No full textParrot André. N. Avigad, Y. Aharoni, P. Baradon, Y. Yadin, B. Lifshitz, L. Y. Rahmani, H. Nathan, et D. V. Zaitschek. — The Expedition to the Judean Desert. 1960, Jérusalem, 1961. In: Syria. Tome 39 fascicule 3-4, 1962. pp. 333-334
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Micro_OC_Supplemental_CLP – Supplemental material for Microbiology of Pediatric Orbital Cellulitis and Trends in Methicillin-Resistant <i>Staphylococcus aureus</i> Cases
No full textSupplemental material, Micro_OC_Supplemental_CLP for Microbiology of Pediatric Orbital Cellulitis and Trends in Methicillin-Resistant Staphylococcus aureus Cases by Jerry Hsu, Alison D. Treister, Hantamalala Ralay Ranaivo, Anne H. Rowley and Bahram Rahmani in Clinical Pediatrics</p
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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