| 1. |
- Öwall, Viktor, et al.
(author)
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A custom image convolution DSP with a sustained calculation capacity of >1 GMAC/s and low I/O bandwidth
- 1999
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In: Journal of VLSI Signal Processing. - 0922-5773. ; 23:2-3, s. 335-349
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Journal article (peer-reviewed)abstract
- A customized processor for real time image convolution has been designed to increase the performance of an instrument for automated cereal grain quality assessment. Image convolution requires an extensive amount of calculation capacity and a corresponding amount of data transfers, hard to achieve with standard processors in real time. Therefore, a tailored architecture with a streamlined dataflow has been developed with emphasis on a system design perspective. The designed processor has a sustained calculation capacity of >1 GMAC/s and on-chip line buffers reduce the amount of external data transfers. Hence, the complexity of the designed processor has been increased to gain a lower complexity of the complete system. To achieve powerful and versatile filtering the size of the programmable kernel functions have been maximized to 15 × 15.
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| 2. |
- Özçelik, Ayşegül, et al.
(author)
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Small fish in a big pond : Product longevity design strategies for smart speakers
- 2023
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In: IASDR 2023: Life-changing design.
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Conference paper (peer-reviewed)abstract
- Extending the lifetime of the product, as one of the strategies for design for sustainability, may increase the value of the product in use, repair, recycle and disposal phases for a longer lifetime thereby decreasing demand for new manufacturing. However, employing these perspectives may be challenging and requires long development processes. In the current structure, small scale companies have a potential to be a significant actor in transition for sustainable manufacturing and design due to their agile development skills. We will present empirical data collected from eight participants regarding five small scale companies who design and manufacture long-lasting connected smart speakers. Key findings and implications highlight that small scale smart product producers strive to maintain control over design decisions in order to enhance the potential for long-lasting products; such companies thus need to be empowered towards distribution and decentralisation of design and manufacturing. To do so, (1) local manufacturing of the hardware is needed; (2) distributed and decentralised repair services need to be available to distribute the responsibility and increase the resilience of the product; (3) new types of intermediary relationships such as collaborating with local incubation centres and local initiatives should be encouraged; and (4) future designers may also need to practise their production skills and include open-source hardware and software development in their projects.
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| 3. |
- Spinoglio, L., et al.
(author)
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- 2017
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In: Publications Astronomical Society of Australia. - : Cambridge University Press (CUP). - 1323-3580 .- 1448-6083. ; 34
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Journal article (peer-reviewed)abstract
- IR spectroscopy in the range 12-230 mu m with the SPace IR telescope for Cosmology and Astrophysics (SPICA) will reveal the physical processes governing the formation and evolution of galaxies and black holes through cosmic time, bridging the gap between the James Webb Space Telescope and the upcoming Extremely Large Telescopes at shorter wavelengths and the Atacama Large Millimeter Array at longer wavelengths. The SPICA, with its 2.5-m telescope actively cooled to below 8 K, will obtain the first spectroscopic determination, in the mid-IR rest-frame, of both the star-formation rate and black hole accretion rate histories of galaxies, reaching lookback times of 12 Gyr, for large statistically significant samples. Densities, temperatures, radiation fields, and gas-phase metallicities will be measured in dust-obscured galaxies and active galactic nuclei, sampling a large range in mass and luminosity, from faint local dwarf galaxies to luminous quasars in the distant Universe. Active galactic nuclei and starburst feedback and feeding mechanisms in distant galaxies will be uncovered through detailed measurements of molecular and atomic line profiles. The SPICA's large-area deep spectrophotometric surveys will provide mid-IR spectra and continuum fluxes for unbiased samples of tens of thousands of galaxies, out to redshifts of z similar to 6.
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| 4. |
- Aad, G., et al.
(author)
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- 2011
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swepub:Mat__t (peer-reviewed)
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| 5. |
- Aad, G., et al.
(author)
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- 2015
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In: Physical Review Letters. - 1079-7114 .- 0031-9007. ; 115:9
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Journal article (peer-reviewed)
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| 6. |
- Aad, G., et al.
(author)
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- 2012
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swepub:Mat__t (peer-reviewed)
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| 7. |
- Ahmad, Tausif, et al.
(author)
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Controllable phytosynthesis of gold nanoparticles and investigation of their size and morphology-dependent photocatalytic activity under visible light
- 2020
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In: Journal of Photochemistry and Photobiology A. - : Elsevier. - 1010-6030 .- 1873-2666. ; 392, s. 1-11
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Journal article (peer-reviewed)abstract
- Plants mediated synthesis of gold nanoparticles (AuNPs) containing desired characteristics for their suitable potential applications has been a challenging task, which is causing a major hindrance towards its commercialization. Therefore, herein phytosynthesis of AuNPs with required size and morphology has been achieved through manipulating the reaction conditions including reaction temperature and volume of Elaeis guineensis leaves (EGL) extract. Furthermore, photocatalytic potential of EGL mediated AuNPs having different size and shape has also been explored for the removal of methylene blue (MB) under visible light irradiation. The reaction temperature and volume of EGL strongly influenced the size and morphology of AuNPs, which are directly associated with the photocatalytic activities. The experimental results revealed that predominantly spherical and ultra-smaller size AuNPs with particle size of 16.26 ± 5.84 nm, formed at 70 °C showed the highest removal efficiency up to 92.55 % in 60 min. This highest photocatalytic activity of AuNPs could be attributed to the availability of higher number of low-coordinated gold (Au) atoms in the MB aqueous solution, which might have boosted the adsorption of the MB on the surface of particles and accelerated the degradation phenomenon. The proposed photocatalytic degradation mechanism of AuNPs for MB was also explained. The highly photoactive EGL mediated AuNPs with controllable morphology and size could be an advance step in future in chemical and biomedical applications.
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| 8. |
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| 9. |
- Ahmad, Tariq, et al.
(author)
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Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients
- 2018
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In: Journal of the American Heart Association. - : WILEY. - 2047-9980. ; 7:8
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Journal article (peer-reviewed)abstract
- Background-Whereas heart failure (HF) is a complex clinical syndrome, conventional approaches to its management have treated it as a singular disease, leading to inadequate patient care and inefficient clinical trials. We hypothesized that applying advanced analytics to a large cohort of HF patients would improve prognostication of outcomes, identify distinct patient phenotypes, and detect heterogeneity in treatment response. Methods and Results-The Swedish Heart Failure Registry is a nationwide registry collecting detailed demographic, clinical, laboratory, and medication data and linked to databases with outcome information. We applied random forest modeling to identify predictors of 1-year survival. Cluster analysis was performed and validated using serial bootstrapping. Association between clusters and survival was assessed with Cox proportional hazards modeling and interaction testing was performed to assess for heterogeneity in response to HF pharmacotherapy across propensity-matched clusters. Our study included 44 886 HF patients enrolled in the Swedish Heart Failure Registry between 2000 and 2012. Random forest modeling demonstrated excellent calibration and discrimination for survival (C-statistic=0.83) whereas left ventricular ejection fraction did not (C-statistic=0.52): there were no meaningful differences per strata of left ventricular ejection fraction (1-year survival: 80%, 81%, 83%, and 84%). Cluster analysis using the 8 highest predictive variables identified 4 clinically relevant subgroups of HF with marked differences in 1-year survival. There were significant interactions between propensity-matched clusters (across age, sex, and left ventricular ejection fraction and the following medications: diuretics, angiotensin-converting enzyme inhibitors, )i-blockers, and nitrates, Pamp;lt;0.001, all). Conclusions-Machine learning algorithms accurately predicted outcomes in a large data set of HF patients. Cluster analysis identified 4 distinct phenotypes that differed significantly in outcomes and in response to therapeutics. Use of these novel analytic approaches has the potential to enhance effectiveness of current therapies and transform future HF clinical trials.
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| 10. |
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