Evaluation of notional nozzle approaches for CFD simulations of free-shear under-expanded hydrogen jets

Several approaches are usually applied for modelling the source of high pressure under-expanded jets, ranging from the computationally expensive resolution of the jet's shock structure to simple formulae (pseudo-source or notional nozzle approaches). However, the assumptions made in each approach introduce inaccuracies in the CFD calculations. The objective of this work was twofold; to compare and evaluate the performance of both selected notional nozzle approaches and turbulence models with experimental results of free-shear high momentum H₂ round jets. The experimental data covered horizontal H₂ releases issuing from small nozzles (0.25–1 mm diameter). Three two-equation turbulence models were chosen for the simulations, the popular standard k-ε, the Shear Stress Transport (SST) and the baseline (BSL) k-ω model together with five notional nozzle approaches. The numerical results were presented in a systematic way in order to make general conclusions on the performance of both the approaches and models.     

Effectiveness factor of fast (Fe3+/Fe2+), moderate (Cl2/Cl?) and slow (O2/H2O) redox couples using IrO2-based electrodes of different loading

The effectiveness factor, E _f, (fraction of the electrode surface that participates effectively in the investigated reaction) of fast (Fe³⁺/Fe²⁺), moderate (Cl₂/Cl⁻) and slow (O₂/H₂O) redox couples has been estimated using IrO₂-based electrodes with different loading. The method of choice was linear sweep voltammetry (measurement of the anodic peak current) for the Fe³⁺/Fe²⁺ redox couple and steady-state polarization (determination of the exchange current) for the O₂ and Cl₂ evolution reactions. The results have shown that the effectiveness factor depends strongly on the kinetics of the investigated redox reaction. For the Fe³⁺/Fe²⁺ redox couple, effectiveness factors close to zero (max 4%) have been obtained contrary to the O₂ evolution reaction where effectiveness factors close to 100% can be achieved, all being independent of IrO₂ loading. For the Cl₂ evolution reaction, intermediate values of the effectiveness factor have been found and they decrease strongly, from 100% down to about 60%, with increasing loading.     

Life-cycle cost optimal design of passive dissipative devices

The cost-effective performance of structures under natural hazards such as earthquakes and hurricanes has long been recognized to be an important topic in the design of civil engineering systems. A realistic comprehensive treatment of such a design requires proper integration of (i) methodologies for treating the uncertainties related to natural hazards and to the structural behavior over the entire life-cycle of the building, (ii) tools for evaluating the performance using socioeconomic criteria, as well as (iii) algorithms appropriate for stochastic analysis and optimization. A systematic probabilistic framework is presented here for detailed estimation and optimization of the life-cycle cost of engineering systems. This framework is a general one but the application of interest here is the design of passive dissipative devices for seismic risk mitigation. A comprehensive methodology is initially presented for earthquake loss estimation; this methodology uses the nonlinear time-history response of the structure under a given excitation to estimate the damage in a detailed, component level. A realistic probabilistic model is then presented for describing the ground motion time history for future earthquake excitations. In this setting, the life-cycle cost is uncertain and can be quantified by its expected value over the space of the uncertain parameters for the structural and excitation models. Because of the complexity of these models, calculation of this expected value is performed using stochastic simulation techniques. This approach, though, involves an unavoidable estimation error and significant computational cost, features which make efficient design optimization challenging. A highly efficient framework, consisting of two stages, is discussed for this stochastic optimization. An illustrative example is presented that shows the efficiency of the proposed methodology; it considers the seismic retrofitting of a four-story non-ductile reinforced-concrete building with viscous dampers.     

Occurrence, virulence genes and antibiotic resistance of Escherichia coli O157 isolated from raw bovine, caprine and ovine milk in Greece

The examination of 2005 raw bovine (n = 950), caprine (n = 460) and ovine (n = 595) bulk milk samples collected throughout several regions in Greece for the presence of Escherichia coli serogroup O157 resulted in the isolation of 29 strains (1.4%) of which 21 were isolated from bovine (2.2%), 3 from caprine (0.7%) and 5 from ovine (0.8%) milk. Out of the 29 E. coli O157 isolates, only 12 (41.4%) could be classified as Shiga-toxigenic based on immunoassay and PCR results. All 12 Shiga-toxigenic E. coli serogroup O157 isolates belonged to the E. coli O157:H7 serotype. All except one of the 12 Shiga-toxin positive isolates were stx₂-positive, five of which were also stx₁-positive. The remaining isolate was positive only for the stx₁ gene. All stx-positive isolates (whether positive for stx₁, stx₂ or stx₁ and stx₂) were also PCR-positive for the eae and ehxA genes. The remaining 17 E. coli O157 isolates (58.6%) were negative for the presence of the H7 flagellar gene by PCR, tested negative for Shiga-toxin production both by immunoassay and PCR, and among these, only four and three strains were PCR-positive for the eae and ehxA genes, respectively. All 29 E. coli O157 isolates displayed resistance to a wide range of antimicrobials, with the stx-positive isolates being, on average, resistant to a higher number of antibiotics than those which were stx-negative.     

UDS: A Distributed RAT Selection Mechanism for Heterogeneous Wireless Networks

The selection of the most suitable radio access technology to serve as the communication means for a service in a heterogeneous wireless access network is a complex task. It considers a number of different parameters and it involves numerous network technologies and entities. Several mechanisms have been proposed that focus on different aspects and follow different strategies. We introduce a policy based scheme that takes into consideration the user preferences, along with network conditions and user moving speed. Its ultimate goal is to support a session through the most desirable radio access technology, from the user perspective, while managing the overall network resources in an optimum way. It comprises a distributed algorithm running at the terminal and the network side. The performance of the proposed mechanism is evaluated against that of a typical load balancing scheme, commonly used in the literature. The results show that the holistic treatment of the diverse parameters fulfils the aforementioned goal.     

Avoiding class warfare: managing continuous queries with differentiated classes of service

Data stream management systems (DSMSs) offer the most effective solution for processing data streams by efficiently executing continuous queries (CQs) over the incoming data. CQs inherently have different levels of criticality and hence different levels of expected quality of service (QoS) and quality of data (QoD). Adhering to such expected QoS/QoD metrics is even more important in cases of multi-tenant data stream management services. In this work, we propose DILoS, a framework that, through priority-based scheduling and load shedding, supports differentiated QoS and QoD for multiple classes of CQs. Unlike existing works that consider scheduling and load shedding separately, DILoS is a novel unified framework that exploits the synergy between scheduling and load shedding. We also propose ALoMa, a general, adaptive load manager that DILoS is built upon. By its design, ALoMa performs better than the state-of-the-art alternatives in three dimensions: (1) it automatically tunes the headroom factor, (2) it honors the delay target, (3) it is applicable to complex query networks with shared operators. We implemented DILoS and ALoMa in our real DSMS prototype system (AQSIOS) and evaluate their performance for a variety of real and synthetic workloads. Our experimental evaluation of ALoMa verified its clear superiority over the state-of-the-art approaches. Our experimental evaluation of the DILoS framework showed that it (a) allows the scheduler and load shedder to consistently honor CQs’ priorities, (b) significantly increases system capacity utilization by exploiting batch processing, and (c) enables operator sharing among query classes of different priorities while avoiding priority inversion, i.e., a lower-priority class never blocks a higher-priority one.     

Integrating the self‐growing concept in a self‐organizing wireless network for topology optimization

The concept of self‐organizing networks is considered one of the most promising approaches for the efficient management of future wireless networks that will support a large number of nodes and a plethora of services with diverse characteristics. Today, different types of networks (e.g. WLANs, wireless sensor networks) are deployed to serve different needs but do not interoperate. Their possible loose integration will provide opportunities that could be exploited through collaborative approaches to devise novel solutions to extend the capabilities and improve the performance of these networks. The self‐growing paradigm addresses this challenge by extending network nodes to dynamically evolve in terms of purpose and operational features. In this paper we describe the CONSERN architecture, which targets the realization of the self‐growing concept in the context of self‐organized networks. To test our ideas we designed and implemented a WLAN topology optimization scheme that provides the best coverage at a minimum energy consumption, through dynamic access point (AP) deactivation and reactivation. Using self‐growing mechanisms and typical motion detectors we present how the operation of the proposed topology optimization mechanism can be improved. The reduced energy consumption attained under the proposed scheme at the AP side, as well as the efficient utilization of network resources, are evaluated via a proof‐of‐concept implementation that we have deployed in a real office environment that consists of WLAN APs and motion sensors. Copyright © 2014 John Wiley & Sons, Ltd.     

Modeling and off-design performance of a 1 kWe HT-PEMFC (high temperature-proton exchange membrane fuel cell)-based residential micro-CHP (combined-heat-and-power) system for Danish single-family households

A novel proposal for the modeling and operation of a micro-CHP (combined-heat-and-power) residential system based on HT-PEMFC (High Temperature-Proton Exchange Membrane Fuel Cell) technology is described and analyzed to investigate its commercialization prospects. An HT-PEMFC operates at elevated temperatures, as compared to Nafion-based PEMFCs and therefore can be a significant candidate for cogeneration residential systems. The proposed system can provide electric power, hot water, and space heating for a typical Danish single-family household. A complete fuel processing subsystem, with all necessary BOP (balance-of-plant) components, is modeled and coupled to the fuel cell stack subsystem. The micro-CHP system is simulated in LabVIEW™ environment to provide the ability of Data Acquisition of actual components and thereby more realistic design in the future. A part-load study has been conducted to indicate performance characteristics at off-design conditions. The system is sized to provide realistic dimensioning of the actual system.     

Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores

Super-scalar, out-of-order processors that can have tens of read and write requests in the execution window place significant demands on Memory Level Parallelism (MLP). Multi- and many-cores with shared parallel caches further increase MLP demand. Current cache hierarchies however have been unable to keep up with this trend, with modern designs allowing only 4?C16 concurrent cache misses. This disconnect is exacerbated by recent highly parallel architectures (e.g. GPUs) where power and area per-core budget favor numerous lighter cores with less resources, further reducing support for MLP on a per-core basis. Support for hardware and software prefetch increases MLP pressure since these techniques overlap multiple memory requests with existing computation. In this paper, we propose and evaluate a novel Resource-Aware Prefetching (RAP) compiler algorithm that is aware of the number of simultaneous prefetches supported, and optimized for the same. We implemented our algorithm in a GCC-derived compiler and evaluated its performance using an emerging fine-grained many-core architecture. Our results show that the RAP algorithm outperforms a well-known loop prefetching algorithm by up to 40.15% in run-time on average across benchmarks and the state-of-the art GCC implementation by up to 34.79%, depending upon hardware configuration. Moreover, we compare the RAP algorithm with a simple hardware prefetching mechanism, and show run-time improvements of up to 24.61%. To demonstrate the robustness of our approach, we conduct a design-space exploration (DSE) for the considered target architecture by varying (i) the amount of chip resources designated for per-core prefetch storage and (ii) off-chip bandwidth. We show that the RAP algorithm is robust in that it improves performance across all design points considered. We also identify the Pareto-optimal hardware-software configuration which delivers 53.66% run-time improvement on average while using only 5.47% more chip area than the bare-bones design.