A5061198264- Face and Expression Recognition
- Microgrid Control and Optimization
- Sparse and Compressive Sensing Techniques
- Advanced Multi-Objective Optimization Algorithms
- Topology Optimization in Engineering
- Machine Learning and ELM
- Optimization and Variational Analysis
- Probabilistic and Robust Engineering Design
- Photovoltaic System Optimization Techniques
- Advanced Optimization Algorithms Research
- Neural Networks and Applications
- solar cell performance optimization
- High-Voltage Power Transmission Systems
- Solar Radiation and Photovoltaics
- HVDC Systems and Fault Protection
- Optimal Power Flow Distribution
- Mesenchymal stem cell research
- Knee injuries and reconstruction techniques
- Metaheuristic Optimization Algorithms Research
- Pluripotent Stem Cells Research
- Machine Learning and Data Classification
- Neuropeptides and Animal Physiology
- Blood disorders and treatments
- Organic Electronics and Photovoltaics
- Piezoelectric Actuators and Control
Universidad de Los Andes, Chile
2014-2024
Universidad Carlos III de Madrid
2023
Hospital General de Catalunya
1994-2019
University of Colorado Denver
2013-2017
Universitat Internacional de Catalunya
2012-2017
Universidad de Los Andes
2015
Merck & Co., Inc., Rahway, NJ, USA (United States)
2011-2014
Manchester Airport
2013
Universidad de Los Andes
2011
Hospital Universitario Ramón y Cajal
2010
Dental pulp is particularly interesting in regenerative medicine because of the accessibility and differentiation potential tissue. has an early developmental origin with multi-lineage due to its development during childhood adolescence. However, no study previously identified presence stem cell populations embryonic-like phenotypes human dental from third molar. In present work, we describe a new population pluripotent-like cells (DPPSCs) that were isolated by culture media containing LIF,...
The behavior of a photovoltaic (PV) module may be captured via its current-voltage (I-V) characteristic. single-diode model is able to adequately fit this characteristic while featuring limited parameterization difficulty, and thus widely adopted represent the performance PV module. However, identification model's parameters complex task due nonconvex nature underlying optimization problem. In paper, an efficient method for parameter extraction from experimental I-V curves developed. This...
Integration of distributed generation (DG) such as photovoltaics (PV) represents a challenge for the traditional operation distribution power systems. As installed DGs grows, grid codes are being modified to involve in provision ancillary services. This includes ability ride-through large disturbances. In this paper, behavior single-stage PV system under unbalanced voltage conditions is studied, and fault control scheme proposed which able support through injection reactive power....
We present an approach to improving the performance of solution processed organic semiconductor transistors based on a dual solvent system. here apply this blend containing π-conjugated small molecule 6,13 bis(triisopropylsilylethynyl) pentacene (TIPS-pentacene) and polystyrene, which acts as inert binder. Using semiconductor-binder two solvents, where main is better second polymer, crystal morphologies can be altered transistor mobilities increased by almost order magnitude. In way,...
Photovoltaic cells are characterized via a static relationship that describes their current-voltage relationship. This is complicated implicit algebraic equation depends, in nonlinear way, on two critical uncertain parameters: temperature and solar irradiance. The efficient operation of the panel relies knowledge these key parameters. While it technologically feasible to measure former, sensor for latter usually expensive difficult calibrate. In this paper, we propose globally convergent...
Determination of solar irradiance is a critical asset to ensure efficient working conditions for photovoltaic (PV) system. This work analyze the feasibility assessing on PV device assuming knowledge temperature and voltage/current operating point. proposes an approach based manipulation analytic expressions found in reduced form “single diode” circuit model silicon device. The was validated through different practical experiments, results obtained are comparable ones commercial instrument...
Photovoltaic cells are characterized via a static relationship that describes their current-voltage dependency. This depends on two critical uncertain parameters: temperature and solar irradiance. While it is technologically feasible easy to measure the former, sensor for latter usually expensive difficult calibrate. In this work we show estimation of irradiance can be accomplished in closed form, assuming current, voltage cell available measurement. The approach validated compared with...
This paper proposes a maximum power point (MPP) tracking algorithm based on neural networks to correctly track the MPP even under abrupt changes in solar irradiance and improve dynamic performance across dc capacitor utilized converter that serves as an interphas e connect photovoltaic plants into ac grid. Traditional algorithms such "perturb observe" (P&O) "incremental conductance" (IC) are able of most cases. However, they can fail rapid changing atmospheric conditions. Furthermore,...
Biomaterials are widely used to regenerate or substitute bone tissue. In order evaluate their potential use for clinical applications, these need be tested and evaluated in vitro with cell culture models. Frequently, immortalized osteoblastic lines studies. However, uncontrolled proliferation rate, phenotypic changes aberrations mitotic processes limits long-term investigations. Recently, we described a new pluripotent-like subpopulation of dental pulp stem cells derived from the third...