Analog computing is a field of study which is recovering relevance. FPAAs are the equivalent to FPGAs but in the analog domain. The FPAAs of Anadigm are well suitable for analog designs prototyping. Anadigm provides a...
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This paper proposes a technique based in the graphical cluster analysis to be implemented in Smart Power Quality Analyzers (SPQA), a proposal Instrument Class S, according to the standard UNE-EN 61000-4-30, with the g...
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This paper presents a study on the use of thermoelectric heating and cooling in buildings. The system, called Smart Wall, consists of thermoelectric (TE) modules, a power supply (including a rechargeable battery and a...
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This paper presents a study on the use of thermoelectric heating and cooling in buildings. The system, called Smart Wall, consists of thermoelectric (TE) modules, a power supply (including a rechargeable battery and an AC power rectifier), a water circulation system, and a computer control system. Smart Wall has three functions: heating, cooling, and power generation. To improve its coefficient of performance (COP), it uses the so-called symbiotic generation to maximize the energy usage. In order to investigate the performance of Smart Wall, a theoretical model is first developed. Based on computer simulation, it is found that under a typical condition, Smart Wall can achieve a COP of 0.605 for cooling and 0.875 for heating. A small experiment model of 1.8m × 1.2m × 0.4m is also built. The experiment result confirms the simulation results. Because Smart Wall is clean, quiet, and safe, if the COP can be further improved the system would have great potential in the future.
Localized defects of gearbox tend to result in periodic impulses in the vibration signal, which contain important information for system dynamics analysis. So parameter identification of impulse provides an effective ...
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Discrete Event Simulation (DES) in healthcare modeling has been an active research area for many years. However one of the drawbacks of this method is the need for meaningful data for building valid models. This paper...
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ISBN:
(纸本)8890073268
Discrete Event Simulation (DES) in healthcare modeling has been an active research area for many years. However one of the drawbacks of this method is the need for meaningful data for building valid models. This paper discusses Hospital Activity Data Analysis (HADA) which is software specifically designed to be used with a generic hospital simulation model (DGHPSim). The DGHPSim model is built for UK healthcare system and is presented conceptually in this paper. HADA integrates with raw data from different sources to evaluate a hospital's past performance. Its results can be used by hospital managers for statistical inference and general understanding, and by DGHPSim users for estimating appropriate parameters of the simulation models. As well as its use in DGHPSim HADA is well-suited to be generically used for any patient-flow type hospital simulation models.
Intertidal mudflats are among the most productive coastal ecosystems, largely because of the activity of the photosynthetic microbial community on the sediment surface, known as microphytobenthos (MPB). While the dyna...
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In this paper, we propose a dynamic, non-dominated sorting, multi-objective particle-swarm-based optimiser, named hierarchical non-dominated sorting particle swarm optimiser (H-NSPSO), for memory usage optimisation in...
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The reduction of the energy consumption in the domain of the embedded systems is becoming the most important design goal due to the increasing use of battery powered consumer devices. Previous research has pointed out...
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This paper presents a new method for solving discrete deceptive problems using a genotype to phenotype mapping where a new replacement and shift operator is applied. The method is evaluated using different deceptive p...
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ISBN:
(纸本)9781605581309
This paper presents a new method for solving discrete deceptive problems using a genotype to phenotype mapping where a new replacement and shift operator is applied. The method is evaluated using different deceptive problems. Experimental results show how our method obtains a speed-up of 94% with respect to other approaches.
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target embedded system is a time-consuming proc...
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ISBN:
(纸本)9781605581309
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target embedded system is a time-consuming process due to the large design space of possible DDTs implementations. Thus, suitable exploration methods for embedded design metrics (memory accesses, memory usage and power consumption) need to be developed. In this work we present a detailed analysis of the characteristics of different types of Multi-Objective Evolutionary Algorithms (MOEAs) to tackle the optimization of DDTs in multimedia applications and compare them with other state-of-the-art heuristics. Our results with state-of-the-art MOEAs in two object-oriented multi-media embedded applications show that more sophisticated MOEAs (SPEA2 and NSGA-II) offer better solutions than simple schemes (VEGA). Moreover, the suitable sophisticated scheme varies according to the available exploration time, namely, NSGA-II outperforms SPEA2 in the first set of solutions (300-500 generations), while SPEA2 offers better solutions afterwards. Copyright 2008 ACM.
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