A Nonclairvoyant Real-Time Scheduler for Ambient Energy Harvesting Sensors

International audienceAmbient energy harvesting also known as energy scavenging is the process where energy is obtained from the environment, converted, and stored to power small devices such as wireless sensors. We present a variant of EDF scheduling algorithm called EH-EDF (Energy Harvesting-Earliest Deadline First). Decisions are taken at run-time without having prior knowledge about the future energy production and task characteristics. We gauge the performance of EH-EDF by means of simulations in order to show its benefits .W eevaluat ean dcompar esevera lvariant so fEH-ED Fi nterm so fpercentag eo ffeasibl etas ksets .Metric ssuc ha saverage length of the idle times are also considered. Simulations tend to demonstrate that no online scheduler can reach optimality in a real-time energy harvesting environment

Importance of the traffic model in the reliability estimation of highway bridges

Road bridges are exposed to stochastic traffic loadings that are not simply determined. The international codes for the design and assessment of highway bridges provide some standard trucks that can be used in the design process. Knowing that the traffic can vary considerably from one bridge to another, standard trucks may lead to poorly estimate the reliability in the assessment process. So, the sensitivity of the reliability indices to the load models will be discussed, on one hand by considering the standard truck given by the French Fascicule 61 and on the other hand by adopting real vehicle data from existing weigh-in-motion station. A set of reinforced concrete bridges will be used for the application

Immunological modifications following chemotherapy are associated with delayed recurrence of ovarian cancer

IntroductionOvarian cancer recurs in most High Grade Serous Ovarian Cancer (HGSOC) patients, including initial responders, after standard of care. To improve patient survival, we need to identify and understand the factors contributing to early or late recurrence and therapeutically target these mechanisms. We hypothesized that in HGSOC, the response to chemotherapy is associated with a specific gene expression signature determined by the tumor microenvironment. In this study, we sought to determine the differences in gene expression and the tumor immune microenvironment between patients who show early recurrence (within 6 months) compared to those who show late recurrence following chemotherapy.MethodsPaired tumor samples were obtained before and after Carboplatin and Taxol chemotherapy from 24 patients with HGSOC. Bioinformatic transcriptomic analysis was performed on the tumor samples to determine the gene expression signature associated with differences in recurrence pattern. Gene Ontology and Pathway analysis was performed using AdvaitaBio’s iPathwayGuide software. Tumor immune cell fractions were imputed using CIBERSORTx. Results were compared between late recurrence and early recurrence patients, and between paired pre-chemotherapy and post-chemotherapy samples.ResultsThere was no statistically significant difference between early recurrence or late recurrence ovarian tumors pre-chemotherapy. However, chemotherapy induced significant immunological changes in tumors from late recurrence patients but had no impact on tumors from early recurrence patients. The key immunological change induced by chemotherapy in late recurrence patients was the reversal of pro-tumor immune signature.DiscussionWe report for the first time, the association between immunological modifications in response to chemotherapy and the time of recurrence. Our findings provide novel opportunities to ultimately improve ovarian cancer patient survival

Uniprocessor Scheduling for Real-Time Energy Harvesting Applications

Energy management is a central problem in real-time systems design, in particular for embedded wireless devices. Whereas a great number of work was carried out in order to minimize the energy consumption and maximize the lifetime achieved as in classical battery operated devices, few studies have been devoted to emerging harvesting systems which need to operate perennially thanks to the environmental energy. In such systems, the consumed energy comes at the same time from the computing nodes and the supports of transmission/reception. In this book, we focus on systems that receive their energy from an environmental source (for example, solar energy). Under these assumptions, the objective is to ensure a perennial functioning of the real-time system that must be able to operate indefinitely in the respect of its timing requirements. So the problem we have to deal with is: How can we schedule tasks so as to guarantee their timing constraints perpetually by suitably exploiting both the processor and the available ambient energy

Adaptive meshing scheme for prediction of high-speed moving loads induced ground vibrations

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