| 1. |
- Forsberg, Håkan, et al.
(författare)
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Embedded Signal Processing Using Free-Space Optical Hypercube Interconnects
- 2003
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Ingår i: Optical Networks Magazine. - : Springer-Verlag. - 1572-8161 .- 1388-6916. ; 4:4, s. 35-49
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Tidskriftsartikel (refereegranskat)abstract
- The speed and complexity of integrated circuits are increasing rapidly. For instance, today's mainstream processors have already surpassed gigahertz global clock frequencies on-chip. As a consequence, many algorithms proposed for applications in embedded signal-processing (ESP) systems, e.g. radar and sonar systems, can be implemented with a reasonable number (less than 1000) of processors, at least in terms of computational power. An extreme inter-processor network is required, however, to completely implement those algorithms. The demands are such that completely new interconnection architectures must be considered.In the search for new architectures, developers of parallel computer systems can actually take advantage of optical interconnects. The main reason for introducing optics from a system point of view is the strength in using benefits that enable new architecture concepts, e.g. free-space propagation and easy fan-out, together with benefits that can actually be exploited by simply replacing the electrical links with optical ones without changing the architecture, e.g. high bandwidth and complete galvanic isolation.In this paper, we propose a system suitable for embedded signal processing with extreme performance demands. The system consists of several computational modules that work independently and send data simultaneously in order to achieve high throughput. Each computational module is composed of multiple processors connected in a hypercube topology to meet scalability and high bisection bandwidth requirements. Free-space optical interconnects and planar packaging technology make it possible to arrange the hypercubes as planes with an associated three-dimensional communications space and to take advantage of many optical properties. For instance, optical fan-out reduces hardware cost. Altogether, this makes the system capable of meeting high performance demands in, for example, massively parallel signal processing. One 64-channel airborne radar system with nine computational modules and a sustained computational speed of more than 1.6 Tera floating point operations per second (TFLOPS) is presented. The effective inter-module bandwidth in this configuration is 1 024 Gbit/s.
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| 2. |
- Forsberg, Håkan, et al.
(författare)
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Key Issues in Implementing an Optoelectronic Planar Free-space Architecture for Signal Processing Applications
- 2003
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Ingår i: IASTED International Multi-Conference on Applied Informatics. - : IASTED/ACTA Press. - 0889863415 ; , s. 621-629
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Konferensbidrag (populärvet., debatt m.m.)abstract
- In this paper, we deal with the key issues in implementing an optoelectronic architecture suitable for embedded signal processing. The architecture is based on a system concept where free-space optical interconnects and planar packaging technologies make it possible to merge complicated and new parallel computer architectures into planes and to take advantage of many properties of optics. For instance, optical fan-out reduces the hardware cost as well as the all-to-all broadcast time. It is also possible to meet scalability and high bisection bandwidth requirements. The main results show that it is possible to build a 6D hypercube using planar optical substrates.
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| 3. |
- Götschi, Thomas, et al.
(författare)
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Elemental composition and reflectance of ambient fine particles at 21 European locations
- 2005
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Ingår i: Atmospheric Environment. - Oxford : Pergamon Press. - 1352-2310 .- 1873-2844. ; 39:32, s. 5947-5958
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Tidskriftsartikel (refereegranskat)abstract
- We sampled fine particles (PM2.5) over a 1-year period at 21 central urban monitoring sites in 20 cities of the European Community Respiratory Health Survey (ECRHS). Particle filters were then analysed for elemental composition using energy dispersive X-ray fluorescence spectrometry and reflectance (light absorption). Elemental analyses yielded valid results for 15 elements (Al, As, Br, Ca, Cl, Cu, Fe, K, Mn, Pb, S, Si, Ti, V, Zn). Annual and seasonal means Of PM2.5, reflectance, and elements show a wide range across Europe with the lowest levels found in Iceland and up to 80 times higher concentrations in Northern Italy. This pattern holds for most of the air pollution indicators. The mass concentration of S did constitute the largest fraction of the analysed elements Of PM2.5 in all locations. The crustal component varies from less than 10% up to 25% across these cities. Temporal correlations of daily values vary considerably from city to city, depending on the indicators compared. Nevertheless, correlations between estimates of long-term exposure, such as annual means, are generally high among indicators Of PM2.5 from anthropogenic sources, such as S, metals, and reflectance. This highlights the difficulty to disentangle effects of specific sources or PM constituents in future health effect analyses using annual averages.
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| 4. |
- Johansson, Christer, et al.
(författare)
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Impacts of air pollution and health by changing commuting from car to bicycle
- 2017
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Ingår i: Science of the Total Environment. - : Elsevier. - 0048-9697 .- 1879-1026. ; 584-585, s. 55-63
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Tidskriftsartikel (refereegranskat)abstract
- Our study is based on individual data on people’s home and work addresses, as well as their age, sex and physical capacity, in order to establish realistic bicycle-travel distances. A transport model is used to single out data on commuting preferences in the County Stockholm. Our analysis shows there is a very large potential for reducing emissions and exposure if all car drivers living within a distance corresponding to a maximum of a 30 minute bicycle ride to work would change to commuting by bicycle. It would result in more than 111 000 new cyclists, corresponding to an increase of 209% compared to the current situation.Mean population exposure would be reduced by about 7% for both NOx and black carbon (BC) in the most densely populated area of the inner city of Stockholm. Applying a relative risk for NOx of 8% decrease in all-cause mortality associated with a 10 µg m-3 decrease in NOx, this corresponds to more than 449 (95% CI: 340 - 558) years of life saved annually for the Stockholm county area with 2.1 million inhabitants. This is more than double the effect of the reduced mortality estimated for the introduction of congestion charge in Stockholm in 2006. Using NO2 or BC as indicator of health impacts, we obtain 395 (95% CI: 172 - 617) and 185 (95% CI: 158 - 209) years of life saved for the population, respectively. The calculated exposure of BC and its corresponding impacts on mortality are likely underestimated. With this in mind the estimates using NOx, NO2 and BC show quite similar health impacts considering the 95% confidence intervals.
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| 5. |
- Olstrup, Henrik, et al.
(författare)
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Seasonal variations in the daily mortality associated with exposure to particles, nitrogen dioxide, and ozone in stockholm, sweden, from 2000 to 2016
- 2021
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Ingår i: Atmosphere. - : MDPI. - 2073-4433 .- 2073-4433. ; 12:11
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Tidskriftsartikel (refereegranskat)abstract
- Urban air pollutant emissions and concentrations vary throughout the year due to various factors, e.g., meteorological conditions and human activities. In this study, seasonal variations in daily mortality associated with increases in the concentrations of PM10 (particulate matter), PM2.5–10 (coarse particles), BC (black carbon), NO2 (nitrogen dioxide), and O3 (ozone) were calculated for Stockholm during the period from 2000 to 2016. The excess risks in daily mortality are presented in single and multi-pollutant models during the whole year and divided into four different seasons, i.e., winter (December–February), spring (March–May), summer (June–August), and autumn (September–November). The excess risks in the single-pollutant models associated with an interquartile range (IQR) increase for a lag 02 during the whole year were 0.8% (95% CI: 0.1–1.4) for PM10, 1.1% (95% CI: 0.4–1.8) for PM2.5–10, 0.5% (95% CI: −0.5–1.5) for BC, −1.5% (95% CI: −0.5–−2.5) for NO2, and 1.9% (95% CI: 1.0–2.9) for O3. When divided into different seasons, the excess risks for PM10 and PM2.5–10 showed a clear pattern, with the strongest associations during spring and autumn, but with weaker associations during summer and winter, indicating increased risks associated with road dust particles during these seasons. For BC, which represents combustion-generated particles, the pattern was not very clear, but the strongest positive excess risks were found during autumn. The excess risks for NO2 were negative during all seasons, and in several cases even statistically significantly negative, indicating that NO2 in itself was not harmful at the concentrations prevailing during the measurement period (mean values < 20 µg m−3). For O3, the excess risks were statistically significantly positive during “all year” in both the single and the multi-pollutant models. The excess risks for O3 in the single-pollutant models were also statistically significantly positive during all seasons.
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| 6. |
- Jönsson, Oskar, et al.
(författare)
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Air pollution episodes in Stockholm regional background air due to sources in Europe and their effects on human population
- 2013
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Ingår i: Boreal environment research. - 1239-6095 .- 1797-2469. ; 18:3-4, s. 280-302
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Tidskriftsartikel (refereegranskat)abstract
- Using air quality measurements, we categorized air pollution according to source sectors in a rural background environment in southern Sweden based on hourly air-mass backward trajectories during 1997-2010. Concentrations of fine (PM2.5) and sum of fine and coarse particulate matter (PM10), accumulation mode particle number, black carbon and surface ozone were 4.0, 3.9, 4.5, 6.8 and 1.3 times higher, respectively, in air masses from the southeast as compared with those in air masses from the cleanest sector in the northwest, consistent with air-mass transport over areas with relatively high emissions of primary particulate matter (PM) and secondary PM precursors. The highest ultrafine particle numbers were associated with clean air from the northwest. We estimate that almost 7.8% and 0.6% higher premature human mortality is caused by PM2.5 and ozone exposure, respectively, when air originates from the southeast as compared with that when air originates from the northwest. Reductions of emissions in eastern Europe would reduce the highest air pollution concentrations and associated health risks. However, since air masses from the southwest are more frequent, emissions in the western part of Europe are more important for annual mean premature mortality.
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| 7. |
- Orru, Hans, 1980-, et al.
(författare)
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Elemental composition and oxidative properties of PM2.5 in Estonia in relation to origin of air masses : results from the ECRHS II in Tartu
- 2010
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Ingår i: Science of the Total Environment. - Amsterdam : Elsevier. - 0048-9697 .- 1879-1026. ; 408:7, s. 1515-1522
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Tidskriftsartikel (refereegranskat)abstract
- Fine particulate matter (PM2.5) was sampled at an urban background site in Tartu, Estonia over one-year period during the ECRHS II study. The elemental composition of 71 PM2.5 samples was analyzed for different chemical elements using energy-dispersive X-ray fluorescence spectrometry (ED-XRF). The oxidative activity of 36 samples was assessed by measuring their ability to generate hydroxyl radicals in the presence of hydrogen peroxide.The origin of air masses was determined by computing 96-hour back trajectories of air masses with the HYSPLIT Model. The trajectories of air masses were divided into four sectors according to geographical patterns: “Russia,” “Eastern Europe,” “Western Europe,” and “Scandinavia.”During the study period, approximately 30% of air masses originated from “Scandinavia.” The other three sectors had slightly lower values (between 18 and 22%). In spring, summer, and winter, higher total PM levels originated from air masses from continental areas, namely “Russia” and “Eastern Europe” (18.51±7.33 and 19.96±9.23 μgm-3, respectively). In autumn, the PM levels were highest in “Western Europe”. High levels of Fe, Ti, and AlCaSi (Al, Ca, Si) were also detected in air masses from the Eurasian continent. The oxidative properties were correlated to the origin of air masses. The ∙OH values were approximately 1.5 times higher when air masses originated from the direction of “Eastern Europe” or “Russia.”The origin of measured particles was evaluated using principal component factor analysis. When comparing the PM2.5 elemental composition with seasonal variation, factor scores, and other studies, the factors represent: (1) combustion of biomass; (2) crustal dust; (3) traffic; and (4) power plants and industrial processes associated with oil burning.The total PM2.5 is driven mainly by biomass and industrial combustion (63%) and other unidentified sources (23%). Other sources of PM, such as crustal dust and traffic, contribute a total of 13%.
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| 8. |
- Orru, Hans, et al.
(författare)
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Ozone and heat-related mortality in Europe in 2050 significantly affected by changes in climate, population and greenhouse gas emission
- 2019
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Ingår i: Environmental Research Letters. - : IOP Publishing. - 1748-9326. ; 14:7
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Tidskriftsartikel (refereegranskat)abstract
- Climate change is expected to increase to extreme temperatures and lead to more intense formation of near-surface ozone. Higher temperatures can cause heat stress and ozone is a highly oxidative pollutant; both increase cardiorespiratory mortality. Using greenhouse gas and ozone precursor emission scenarios, global and regional climate and chemistry-transport models, epidemiological data, and population projections, we projected ozone- and heat-related health risks under a changing climate. European near-surface temperature was modelled with the regional climate model (RCA4), forced by the greenhouse gas emission scenario RCP4.5 and the global climate model EC-EARTH, and near-surface ozone was modelled with the Multi-scale Atmospheric Transport and Chemistry (MATCH) model. Two periods were compared: recent climate in 1991-2000 and future climate in 2046-2055, projecting around a 2 degrees increase in global temperatures by that time. Projections of premature mortality considered future climate, future population, and future emissions separately and jointly to understand the relative importance of their contributions. Ozone currently causes 55 000 premature deaths annually in Europe due to long-term exposure, including a proportion of the estimated 26 000 deaths per year due to short-term exposures. When only taking into account the impact of a changing climate, up to an 11% increase in ozone-associated mortality is expected in some countries in Central and Southern Europe in 2050. However, projected decreases in ozone precursor emissions are expected to result in a decrease in ozone-related mortality (-30% as EUaverage). Due to aging and increasingly susceptible populations, the decrease in 2050 would be smaller, up to -24%. During summer months, ozone risks could combine with increasing temperatures, especially during the hottest periods and in densely populated urban areas. While the heat burden is currently of the same order of magnitude as ozone, due to increasing temperatures and decreasing ozone precursor emissions, heat-related mortality could be twice as large as ozone-related mortality in 2050.
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| 9. |
- Tobías, Aurelio, et al.
(författare)
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Geographical Variations of the Minimum Mortality Temperature at a Global Scale : A Multicountry Study
- 2021
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Ingår i: Environmental epidemiology. - : Wolters Kluwer. - 2474-7882. ; 5:5
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Tidskriftsartikel (refereegranskat)abstract
- Background: Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale.Methods: We collected data from 658 communities in 43 countries under different climates. We estimated temperature-mortality associations to derive the MMT for each community using Poisson regression with distributed lag nonlinear models. We investigated the variation in MMT by climatic zone using a mixed-effects meta-analysis and explored the association with climatic and socioeconomic indicators.Results: The geographical distribution of MMTs varied considerably by country between 14.2 and 31.1 °C decreasing by latitude. For climatic zones, the MMTs increased from alpine (13.0 °C) to continental (19.3 °C), temperate (21.7 °C), arid (24.5 °C), and tropical (26.5 °C). The MMT percentiles (MMTPs) corresponding to the MMTs decreased from temperate (79.5th) to continental (75.4th), arid (68.0th), tropical (58.5th), and alpine (41.4th). The MMTs indreased by 0.8 °C for a 1 °C rise in a community's annual mean temperature, and by 1 °C for a 1 °C rise in its SD. While the MMTP decreased by 0.3 centile points for a 1 °C rise in a community's annual mean temperature and by 1.3 for a 1 °C rise in its SD.Conclusions: The geographical distribution of the MMTs and MMTPs is driven mainly by the mean annual temperature, which seems to be a valuable indicator of overall adaptation across populations. Our results suggest that populations have adapted to the average temperature, although there is still more room for adaptation.
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| 10. |
- Viana, M., et al.
(författare)
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Source apportionment of ambient PM2.5 at five Spanish centres of the European Community Respiratory Health Survey (ECRHS II)
- 2007
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Ingår i: Atmospheric Environment. - : Elsevier BV. - 1352-2310 .- 1873-2844. ; 41:7, s. 1395-1406
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Tidskriftsartikel (refereegranskat)abstract
- Fine particulate matter (PM2.5) was sampled at 5 Spanish locations during the European Community Respiratory Health Survey II (ECRHS II). In an attempt to identify and quantify PM2.5 sources, source contribution analysis by principal component analysis (PCA) was performed on five datasets containing elemental composition of PM2.5 analysed by ED-XRF. A total of 4-5 factors were identified at each site, three of them being common to all sites (interpreted as traffic. mineral and secondary aerosols) whereas industrial sources were site-specific. Sea-salt was identified as independent source at all coastal locations except for Barcelona (where it was clustered with secondary aerosols). Despite their typically dominant coarse grain-size distribution, mineral and marine aerosols were clearly observed in PM2.5. Multi-linear regression analysis (MLRA) was applied to the data, showing that traffic was the main source of PM2.5 at the five sites (39-53% of PM2.5, 5.1-12.0 mu g m(-3)), while regional-scale secondary aerosols accounted for 14-34% of PM2.5 (2.6-4.5 mu g m(-3)), mineral matter for 13-31% (2.4-4.6 mu g m(-3)) and sea-salt made up 3-7% of the PM2.5 mass (0.4-1.3 mu g m(-3)). Consequently, despite regional and climatic variability throughout Spain, the same four main PM2.5 emission sources were identified at all the study sites and the differences between the relative contributions of each of these sources varied at most 20%. This would corroborate PM2.5 as a useful parameter for health studies and environmental policy-making, owing to the fact that it is not as subject to the influence of micro-sitting as other parameters such as PM10. African dust inputs were observed in the mineral source, adding on average 4-11 mu g m(-3) to the PM2.5 daily mean during dust outbreaks. On average, levels of Al, Si, Ti and Fe during African episodes were higher by a factor of 2-8 with respect to non-African days, whereas levels of local pollutants (absorption coefficient, S, Pb, Cl) showed smaller variations (factor of 0.5-2).
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