- 标题
- 摘要
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- 实验方案
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Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models
摘要： Modeling solar photovoltaic (PV) systems accurately is based on optimal values of unknown model parameters of PV cells and modules. In recent years, the use of metaheuristics for parameter extraction of PV models gains more and more attentions thanks to their efficacy in solving highly nonlinear multimodal optimization problems. This work addresses a novel application of supply-demand-based optimization (SDO) to extract accurate and reliable parameters for PV models. SDO is a very young and efficient metaheuristic inspired by the supply and demand mechanism in economics. Its exploration and exploitation are balanced well by incorporating different dynamic modes of the cobweb model organically. To validate the feasibility and effectiveness of SDO, four PV models with diverse characteristics including RTC France silicon solar cell, PVM 752 GaAs thin film cell, STM6-40/36 monocrystalline module, and STP6-120/36 polycrystalline module are employed. The experimental results comparing with ten state-of-the-art algorithms demonstrate that SDO performs better or highly competitively in terms of accuracy, robustness, and convergence. In addition, the sensitivity of SDO to variation of population size is empirically investigated. The results indicate that SDO with a relatively small population size can extract accurate and reliable parameters for PV models.
关键词： parameter extraction,cobweb model,solar photovoltaic models,supply-demand-based optimization,metaheuristic
更新于2025-09-11 14:15:04
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Extraction of Uncertain Parameters of Double-Diode Model of a Photovoltaic Panel Using Simulated Annealing Optimization
摘要： In this article, our goal is to improve the estimation of the parameters of solar photovoltaic models by using the simulated annealing (SA) algorithm. The proposed approach takes into account the uncertainties of measurements. This approach consists of three steps. The ?rst is the extraction of the parameters in a conventional manner based on SA. Then, in order to reduce the search interval of parameters, we will determine the uncertainties of the measurements of each parameter. Finally, we will determine the instantaneous parameters, taking into account the results of the ?rst two steps. For the validation of proposed theoretical developments, the proposed approach is applied to two di?erent commercial solar panel parameter estimation problems (the monocrystalline solar module STM6-40/36 and the polycrystalline silicon cells photovoltaic module Sharp ND-R250A5). The results obtained are compared with well-established algorithms to con?rm its e?ectiveness. These comparisons have shown that the proposed method exhibits largely more e?ective performances than existing methods in the literature.
关键词： uncertainties,polycrystalline silicon cells,solar photovoltaic models,simulated annealing,monocrystalline solar module,parameter estimation
更新于2025-09-11 14:15:04
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Pulsed laser annealing for advanced technology nodes: modeling and calibration
摘要： Pulsed laser annealing is one of the promising low thermal budget approaches to overcome process limitations and develop alternative schemes to achieve better device performance and enable 3D architectures. Its applications range from the Front End Of the Line (doping, contacts, strain engineering) to Back End Of the Line (Cu grain engineering) in logic and memory devices. One key enabler for integrating this disruptive technology in the coming highly challenging technology nodes is an accurate time-resolved modeling of laser matter interaction, thermal diffusion, phase change and species diffusion at the nanosecond timescale, all to be solved self-consistently. In this paper, we will present the TCAD simulation package of the laser annealing process (LASSE Innovation Application Booster or LIAB), with a specific focus on the phase field model and calibration of relevant materials. The coupled partial differential equation system is described and a methodology for materials calibration, especially challenging in the melting regime, is detailed with results shown for Ge and SiGe, with a application on a typical p-type finFET contact region anneal 2D use case.
关键词： Germanium,Laser annealing,Material modification,TCAD model calibration,Silicon-Germanium,Self-consistent models
更新于2025-09-11 14:15:04
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Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models
摘要： With the increasing demand for solar energy, accurate, reliable, and efficient parameters extraction of photovoltaic models is becoming more significant and difficult. Accordingly, a more accurate and robust algorithm is continuously needed for this problem. To this end, a classified perturbation mutation based particle swarm optimization algorithm is proposed in this paper. During each generation of the proposed algorithm, the performance of each updated personal best position is evaluated and quantified to be a high-quality or low-quality. Then, for the high-quality personal best position, a mutation strategy with smaller perturbation is developed to enhance the local search ability within the promising search area. For the low-quality personal best position, a bigger perturbation mutation strategy is designed to explore different regions for improving the population diversity. Furthermore, the damping bound handling strategy is employed to mitigate the issue of falling into local optimal. The effectiveness of the proposed algorithm is evaluated by extracting parameters of five different photovoltaic models, and also tested on photovoltaic models under different conditions. Experiment results comprehensively demonstrate the superiority of the proposed algorithm compared with other well-established parameters extraction methods in terms of accuracy, stability, and rapidity.
关键词： Perturbation mutation,Photovoltaic models,Particle swarm optimization,Parameters extraction
更新于2025-09-11 14:15:04
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[IEEE 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - Berlin, Germany (2019.7.23-2019.7.27)] 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Super-Resolution OCT Using Sparse Representations and Heavy-Tailed Models
摘要： This paper introduces a new approach to single-image super-resolution in Optical Coherence Tomography (OCT) images. Retinal OCT images can be used to diagnose various diseases, not only peculiar to the eye, but also some systemic diseases. Nevertheless, as with any imaging modality, the acquired images suffer from degradation due to various causes. To overcome this and enhance image quality, Super-Resolution (SR) techniques are widely used. This work explores a convex regularization approach based on a multivariate generalization of the minimax-concave (GMC) scheme in a forward-backward splitting (FBS) scheme. Based on the assumption that sparse representations of OCT images are heavy-tailed, an α-stable dictionary is employed. This approach is implemented with overlapping and non-overlapping patches. Since the Point Spread Function (PSF) of the images used is generally unknown, it is estimated using a method originally proposed for ultrasound images. The algorithm is tested on OCT images of murine eyes. The results show that the proposed convex regularization method provides results that are competitive with the state-of-the-art. Indeed, significant deblurring and quality enhancement are achieved using the proposed algorithm and in most cases it provides the best results, both objectively and subjectively.
关键词： Super-Resolution,Sparse Representations,Optical Coherence Tomography,Heavy-Tailed Models,Convex Regularization
更新于2025-09-11 14:15:04
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Mixed Gaussian Models for Modeling Fluctuation Process Characteristics of Photovoltaic Outputs
摘要： In order to model ?uctuation process characteristics of photovoltaic (PV) outputs, this paper proposes a novel mixed Gaussian model with the expectation maximization (EM) algorithm. Firstly, random components of PV outputs are obtained through computing the difference between the measured data of PV output and its theoretical outputs. Secondly, the EM algorithm is used to determine the weight of different Gaussian distribution functions. Finally, the mixed Gaussian model is obtained by linearly superimposing these Gaussian functions with the weight. Based on the simulation results on the measured data in Xichang City, China, the effectiveness of the proposed model is veri?ed. Furthermore, this model has proven to be signi?cantly better than other traditional models including t location-scale (TLS) distribution model.
关键词： expectation maximization algorithm,PV output modeling,?uctuation characteristics,mixed Gaussian models,probability density distribution
更新于2025-09-11 14:15:04
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The Encyclopedia of Archaeological Sciences || Laser Scanning
摘要： Laser scanning provides archaeology with a high-speed process for the acquisition of three-dimensional (3D) spatial data. The technique provides surface-based 3D measurements of any small- or large-scale, complex, irregular, standard or nonstandard real-world scene. The resulting data are visualized through the production of point clouds, with the final results depicted as line drawings, computer-aided design (CAD) models, 3D surface models, and video animations, acting as an enhanced communication tool that has the ability of visualizing real-world objects in 3D space. It is the most effective way to quickly obtain data from the observed object and it enables measurements of areas that were unable to be collected previously, such as through hand-based drawings or total station surveys.
关键词： point clouds,Laser scanning,CAD models,archaeology,3D spatial data
更新于2025-09-11 14:15:04
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Protocol for rapid clearing and staining of fixed Arabidopsis ovules for improved imaging by confocal laser scanning microscopy
摘要： Background: A salient topic in developmental biology relates to the molecular and genetic mechanisms that underlie tissue morphogenesis. Modern quantitative approaches to this central question frequently involve digital cellular models of the organ or tissue under study. The ovules of the model species Arabidopsis thaliana have long been established as a model system for the study of organogenesis in plants. While ovule development in Arabidopsis can be followed by a variety of different imaging techniques, no experimental strategy presently exists that enables an easy and straightforward investigation of the morphology of internal tissues of the ovule with cellular resolution. Results: We developed a protocol for rapid and robust confocal microscopy of fixed Arabidopsis ovules of all stages. The method combines clearing of fixed ovules in ClearSee solution with marking the cell outline using the cell wall stain SCRI Renaissance 2200 and the nuclei with the stain TO-PRO-3 iodide. We further improved the microscopy by employing a homogenous immersion system aimed at minimizing refractive index differences. The method allows complete inspection of the cellular architecture even deep within the ovule. Using the new protocol we were able to generate digital three-dimensional models of ovules of various stages. Conclusions: The protocol enables the quick and reproducible imaging of fixed Arabidopsis ovules of all developmental stages. From the imaging data three-dimensional digital ovule models with cellular resolution can be rapidly generated using image analysis software, for example MorphographX. Such digital models will provide the foundation for a future quantitative analysis of ovule morphogenesis in a model species.
关键词： Ovule,3D organ models,ClearSee,To-PRO-3 iodide,Imaging,Arabidopsis,SCRI Renaissance 2200,3D reconstruction
更新于2025-09-11 14:15:04
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Non-invasive imaging reveals conditions that impact distribution and persistence of cells after in vivo administration
摘要： Background: Cell-based regenerative medicine therapies are now frequently tested in clinical trials. In many conditions, cell therapies are administered systemically, but there is little understanding of their fate, and adverse events are often under-reported. Currently, it is only possible to assess safety and fate of cell therapies in preclinical studies, specifically by monitoring animals longitudinally using multi-modal imaging approaches. Here, using a suite of in vivo imaging modalities to explore the fate of a range of human and murine cells, we investigate how route of administration, cell type and host immune status affect the fate of administered cells. Methods: We applied a unique imaging platform combining bioluminescence, optoacoustic and magnetic resonance imaging modalities to assess the safety of different human and murine cell types by following their biodistribution and persistence in mice following administration into the venous or arterial system. Results: Longitudinal imaging analyses (i) suggested that the intra-arterial route may be more hazardous than intravenous administration for certain cell types, (ii) revealed that the potential of a mouse mesenchymal stem/stromal cell (MSC) line to form tumours depended on administration route and mouse strain and (iii) indicated that clinically tested human umbilical cord (hUC)-derived MSCs can transiently and unexpectedly proliferate when administered intravenously to mice. Conclusions: In order to perform an adequate safety assessment of potential cell-based therapies, a thorough understanding of cell biodistribution and fate post administration is required. The non-invasive imaging platform used here can expose not only the general organ distribution of these therapies, but also a detailed view of their presence within different organs and, importantly, tumourigenic potential. Our observation that the hUC-MSCs but not the human bone marrow (hBM)-derived MSCs persisted for a period in some animals suggests that therapies with these cells should proceed with caution.
关键词： Safety,Mesenchymal stem/stromal cells,Preclinical models,Multi-modal imaging,Cell therapies,Cell tracking
更新于2025-09-11 14:15:04
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[Methods in Enzymology] Intrinsically Disordered Proteins Volume 611 || Accurate Transfer Efficiencies, Distance Distributions, and Ensembles of Unfolded and Intrinsically Disordered Proteins From Single-Molecule FRET
摘要： Intrinsically disordered proteins (IDPs) sample structurally diverse ensembles. Characterizing the underlying distributions of conformations is a key step toward understanding the structural and functional properties of IDPs. One increasingly popular method for obtaining quantitative information on intramolecular distances and distributions is single-molecule F?rster resonance energy transfer (FRET). Here we describe two essential elements of the quantitative analysis of single-molecule FRET data of IDPs: the sample-specific calibration of the single-molecule instrument that is required for determining accurate transfer efficiencies, and the use of state-of-the-art methods for inferring accurate distance distributions from these transfer efficiencies. First, we illustrate how to quantify the correction factors for instrument calibration with alternating donor and acceptor excitation measurements of labeled samples spanning a wide range of transfer efficiencies. Second, we show how to infer distance distributions based on suitably parameterized simple polymer models, and how to obtain conformational ensembles from Bayesian reweighting of molecular simulations or from parameter optimization in simplified coarse-grained models.
关键词： Intrinsically disordered proteins,Coarse-grained models,Conformational ensembles,Polymer models,Single-molecule FRET,Distance distributions,Bayesian inference
更新于2025-09-10 09:29:36