4,826 research outputs found
Pixie: A heterogeneous Virtual Coarse-Grained Reconfigurable Array for high performance image processing applications
Coarse-Grained Reconfigurable Arrays (CGRAs) enable ease of programmability
and result in low development costs. They enable the ease of use specifically
in reconfigurable computing applications. The smaller cost of compilation and
reduced reconfiguration overhead enables them to become attractive platforms
for accelerating high-performance computing applications such as image
processing. The CGRAs are ASICs and therefore, expensive to produce. However,
Field Programmable Gate Arrays (FPGAs) are relatively cheaper for low volume
products but they are not so easily programmable. We combine best of both
worlds by implementing a Virtual Coarse-Grained Reconfigurable Array (VCGRA) on
FPGA. VCGRAs are a trade off between FPGA with large routing overheads and
ASICs. In this perspective we present a novel heterogeneous Virtual
Coarse-Grained Reconfigurable Array (VCGRA) called "Pixie" which is suitable
for implementing high performance image processing applications. The proposed
VCGRA contains generic processing elements and virtual channels that are
described using the Hardware Description Language VHDL. Both elements have been
optimized by using the parameterized configuration tool flow and result in a
resource reduction of 24% for each processing elements and 82% for each virtual
channels respectively.Comment: Presented at 3rd International Workshop on Overlay Architectures for
FPGAs (OLAF 2017) arXiv:1704.0880
Measures and dynamics of entangled states
We develop an original approach for the quantitative characterisation of the
entanglement properties of, possibly mixed, bi- and multipartite quantum states
of arbitrary finite dimension. Particular emphasis is given to the derivation
of reliable estimates which allow for an efficient evaluation of a specific
entanglement measure, concurrence, for further implementation in the monitoring
of the time evolution of multipartite entanglement under incoherent environment
coupling. The flexibility of the technical machinery established here is
illustrated by its implementation for different, realistic experimental
scenarios.Comment: Physics Reports, in pres
Monitoring of Optical Networks Using Correlation-Aided Time-Domain Reflectometry with Direct and Coherent Detection
We report on methods to monitor the transmission path in optical networks
using a correlation-based OTDR technique with direct and coherent detection. A
high probing symbol rate can provide picosecond-accuracy of the fiber
propagation delay, while a sensitive phase detection with a high repetition
rate allows the monitoring of dynamic effects in the vicinity of the fiber. We
discuss various approaches to evaluate the measured traces and show the results
of a few monitoring applications.Comment: Invited paper to OECC 2023, Shanghai, July 2-6, 202
Synthesis of Zeolites from Fine-Grained Perlite and Their Application as Sorbents
The hydrothermal alteration of perlite into zeolites was studied using a two-step approach. Firstly, perlite powder was transformed into Na-P1 (GIS) or hydro(xy)sodalite (SOD) zeolites at 100 °C and 24 h using 2 or 5 M NaOH solutions. Secondly, the Si:Al molar ratio of the reacted Si-rich solution was adjusted to 1 by Na-aluminate addition to produce zeolite A (LTA) at 65 or 95 °C and 6 or 24 h at an efficiency of 90 ± 9% for Al and 93 ± 6% for Si conversion. The performance of these zeolites for metal ion removal and water softening applications was assessed by sorption experiments using an artificial waste solution containing 4 mmol/L of metal ions (Me(2+): Ca(2+), Mg(2+), Ba(2+) and Zn(2+)) and local tap water (2.1 mmol/L Ca(2+) and 0.6 mmol/L Mg(2+)) at 25 °C. The removal capacity of the LTA-zeolite ranged from 2.69 to 2.86 mmol/g for Me(2+) (=240–275 mg/g), which is similar to commercial zeolite A (2.73 mmol/g) and GIS-zeolite (2.69 mmol/g), and significantly higher compared to the perlite powder (0.56 mmol/g) and SOD-zeolite (0.88 mmol/g). The best-performing LTA-zeolite removed 99.8% Ca(2+) and 93.4% Mg(2+) from tap water. Our results demonstrate the applicability of the LTA-zeolites from perlite for water treatment and softening applications
The impacts of higher education institutions on sustainable development: A review and conceptualization
Purpose:
This paper aims to conceptualize impacts of higher education institutions (HEIs) on sustainable
development (SD), complementing previous literature reviews by broadening the perspective from what HEIs
do in pursuit of SD to how these activities impact society, the environment and the economy.
Design/methodology/Approach:
The paper provides a systematic literature review of peer-reviewed
journal articles published between 2005 and 2017. Inductive content analysis was applied to identify major
themes and impact areas addressed in the literature to develop a conceptual framework detailing the
relationship between HEIs-
activities and their impacts on SD.
Findings:
The paper identi
fi
es six impact areas where direct and indirect impacts of HEIs on SD may
occur. The fi
ndings indicate a strong focus on case studies dealing with speci
fi
c projects and a lack of studies
analyzing impacts from a more holistic perspective.
Practical implications: This systematic literature review enables decision-makers in HEIs, researchers
and educators to better understand how their activities may affect society, the environment and the economy,
and it provides a solid foundation to tackle these impacts.
Social implications:
The review highlights that HEIs have an inherent responsibility to make societies
more sustainable. HEIs must embed SD into their systems while considering their impacts on society.
Originality/value:
This paper provides a holistic conceptualization of HEIs-
impacts on SD. The conceptual
framework can be useful for future research that attempts to analyze HEIs-
impacts on SD from a holistic perspective
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Ontogeny of Classical and Operant Learning Behaviors in Zebrafish
The performance of developing zebrafish in both classical and operant conditioning assays was tested with a particular focus on the emergence of these learning behaviors during development. Strategically positioned visual cues paired with electroshocks were used in two fully automated assays to investigate both learning paradigms. These allow the evaluation of the behavioral performance of zebrafish continuously throughout development, from larva to adult. We found that learning improves throughout development, starts reliably around week 3, and reaches adult performance levels at week 6. Adult fish quickly learned to perform perfectly, and the expression of the learned behavior is manifestly controlled by vision. The memory is behaviorally expressed in adults for at least 6 h and retrievable for at least 12 h.Molecular and Cellular Biolog
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