Diego F. Larios
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View article: Identification of Olives Using In-Field Hyperspectral Imaging with Lightweight Models
Identification of Olives Using In-Field Hyperspectral Imaging with Lightweight Models Open
During the growing season, olives progress through nine different phenological stages, starting with bud development and ending with senescence. During their lifespan, olives undergo changes in their external color and chemical properties.…
View article: Machine Learning Estimation of Battery Efficiency and Related Key Performance Indicators in Smart Energy Systems
Machine Learning Estimation of Battery Efficiency and Related Key Performance Indicators in Smart Energy Systems Open
Battery systems are extensively used in smart energy systems in many different applications, such as Frequency Containment Reserve or Self-Consumption Increase. The behavior of a battery in a particular operation scenario is usually summar…
View article: A General-Purpose Distributed Analytic Platform Based on Edge Computing and Computational Intelligence Applied on Smart Grids
A General-Purpose Distributed Analytic Platform Based on Edge Computing and Computational Intelligence Applied on Smart Grids Open
Currently, in many data landscapes, the information is distributed across various sources and presented in diverse formats. This fragmentation can pose a significant challenge to the efficient application of analytical methods. In this sen…
View article: Full-Scale Digesters: Model Predictive Control with Online Kinetic Parameter Identification Strategy
Full-Scale Digesters: Model Predictive Control with Online Kinetic Parameter Identification Strategy Open
This work presents a nonlinear model predictive control scheme with a novel structure of observers aiming to create a methodology that allows feasible implementations in industrial anaerobic reactors. In this way, a new step-by-step proced…
View article: Full-Scale Digesters: An Online Model Parameter Identification Strategy
Full-Scale Digesters: An Online Model Parameter Identification Strategy Open
This work presents a new standard in the model, identification, and control of monitoring purposes over anaerobic reactors. One requirement that guarantees a normal controller operation is for the faculty to measure the data needed periodi…
View article: Phase topology identification in low-voltage distribution networks: A Bayesian approach
Phase topology identification in low-voltage distribution networks: A Bayesian approach Open
Knowledge of customer phase connection in low-voltage distribution networks is important for Distribution System Operators (DSOs). This paper presents a novel data-driven phase identification method based on Bayesian inference, which uses …
View article: Model Predictive Control with On-line Kinetic Parameter Identification Strategy on Anaerobic Digestion Reactors
Model Predictive Control with On-line Kinetic Parameter Identification Strategy on Anaerobic Digestion Reactors Open
This work presents a nonlinear model predictive control scheme that challenges overcoming the obstacles holding back over decades to develop affordable autonomous control and monitoring systems applied in the large-scale industry. Among th…
View article: Extension of the Set of Raw Sludges used in Industrial Anaerobic Digestion Reactors Implementable in Control Schemes Using an On-line Model Parameter Identification Strategy
Extension of the Set of Raw Sludges used in Industrial Anaerobic Digestion Reactors Implementable in Control Schemes Using an On-line Model Parameter Identification Strategy Open
This work presents a methodology that seeks to be a new standard in modeling identification in anaerobic digestion reactors. Because it is not possible to measure all variables with reliable and cost-efficient real-time methods, a specific…
View article: Model Predictive Control with On-line Kinetic Parameter Identification Strategy on Anaerobic Digestion Reactors
Model Predictive Control with On-line Kinetic Parameter Identification Strategy on Anaerobic Digestion Reactors Open
This work presents a nonlinear model predictive control scheme that challenges overcoming the obstacles holding back over decades to develop affordable autonomous control and monitoring systems applied in the large-scale industry. Among th…
View article: Interaural time difference individualization in HRTF by scaling through anthropometric parameters
Interaural time difference individualization in HRTF by scaling through anthropometric parameters Open
Head-related transfer function (HRTF) individualization can improve the perception of binaural sound. The interaural time difference (ITD) of the HRTF is a relevant cue for sound localization, especially in azimuth. Therefore, individualiz…
View article: Design and Evaluation of a Heterogeneous Lightweight Blockchain-Based Marketplace
Design and Evaluation of a Heterogeneous Lightweight Blockchain-Based Marketplace Open
The proposal of this paper is to introduce a low-level blockchain marketplace, which is a blockchain where participants could share its power generation and demand. To achieve this implementation in a secure way for each actor in the netwo…
View article: Performance of Raspberry Pi during Blockchain Execution using Proof of Authority Consensus
Performance of Raspberry Pi during Blockchain Execution using Proof of Authority Consensus Open
Raspberry Pi is one of the most popular devices for research in many different fields. It is proposed to analyse
\nits performance as a lightweight blockchain node. This could enable the Raspberry Pi to execute other tasks
\nand the same t…
View article: Cyber-Physical Systems for Smart Water Networks: A Review
Cyber-Physical Systems for Smart Water Networks: A Review Open
There is a growing demand to equip Smart Water Networks (SWN) with advanced sensing and computation capabilities in order to detect anomalies and apply autonomous event-triggered control. Cyber-Physical Systems (CPSs) have emerged as an im…
View article: Short-Term Power Forecasting Framework for Microgrids Using Combined Baseline and Regression Models
Short-Term Power Forecasting Framework for Microgrids Using Combined Baseline and Regression Models Open
Short-term electric power forecasting is a tool of great interest for power systems, where the presence of renewable and distributed generation sources is constantly growing. Specifically, this type of forecasting is essential for energy m…
View article: A Data Mining Environment for Management of Ground Testing of the A400M Aircraft
A Data Mining Environment for Management of Ground Testing of the A400M Aircraft Open
One hundred development and certification ground tests must be performed before the A400M aircraft's first flight. Ground testing is an essential but also expensive process performed by the Airbus Defense and Space (Airbus DS) Company in t…
View article: Computational intelligence applied to wildfire prediction using wireless sensor networks
Computational intelligence applied to wildfire prediction using wireless sensor networks Open
In this paper we present a novel algorithm, implemented in a wireless sensor network environment, for the
\nstudy of fire in a natural environment. This algorithm can offer two kinds of information: the risk of a fire
\nand, in case of an …
View article: Architecture for environmental data access in WSN
Architecture for environmental data access in WSN Open
This paper shows different issues found in the real implementation of either a WSN or its data exploitation
\nsystem for an environmental monitoring application. A generic software architecture for interfacing both is
\nproposed and tested…
View article: Virtual Laboratory for Digital Signal Processing
Virtual Laboratory for Digital Signal Processing Open
Digital Signal Processor is a useful tool for learning and practice about filters for digital signals. The practices of the subject “Procesado Digital de Señales” made the students learn how to use it, and how to run some algorithms. But t…
View article: Operational Simulation Environment for SCADA Integration of Renewable Resources
Operational Simulation Environment for SCADA Integration of Renewable Resources Open
The complexity of power systems is rising mainly due to the expansion of renewable energy generation. Due to the enormous variability and uncertainty associated with these types of resources, they require sophisticated planning tools so th…
View article: Porous Titanium Cylinders Obtained by the Freeze-Casting Technique: Influence of Process Parameters on Porosity and Mechanical Behavior
Porous Titanium Cylinders Obtained by the Freeze-Casting Technique: Influence of Process Parameters on Porosity and Mechanical Behavior Open
The discrepancy between the stiffness of commercially pure titanium and cortical bone tissue compromises its success as a biomaterial. The use of porous titanium has been widely studied, however, it is still challenging to obtain materials…
View article: A Research Study for the Design of a Portable and Configurable Ground Test System for the A400M Aircraft
A Research Study for the Design of a Portable and Configurable Ground Test System for the A400M Aircraft Open
This paper presents a study of the most suitable ground test equipment for the Airbus A400M aircraft aimed at optimizing a design that combines portability, flexibility, and configurability. The study is based on current trends in the conf…
View article: Heterogeneous LoRa-Based Wireless Multimedia Sensor Network Multiprocessor Platform for Environmental Monitoring
Heterogeneous LoRa-Based Wireless Multimedia Sensor Network Multiprocessor Platform for Environmental Monitoring Open
The acquisition of data in protected natural environments is subordinated to actions that do not stress the life-forms present in that environment. This is why researchers face two conflicting interests: autonomous and robust systems that …
View article: Monitoring and Fault Location Sensor Network for Underground Distribution Lines
Monitoring and Fault Location Sensor Network for Underground Distribution Lines Open
One of the fundamental tasks of electric distribution utilities is guaranteeing a continuous supply of electricity to their customers. The primary distribution network is a critical part of these facilities because a fault in it could affe…
View article: A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems
A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems Open
In the last few decades, the Smart Grid paradigm presence has increased within power systems. These new kinds of networks demand new Operations and Planning approaches, following improvements in the quality of service. In this sense, the r…
View article: Evaluation of MPEG-7-Based Audio Descriptors for Animal Voice Recognition over Wireless Acoustic Sensor Networks
Evaluation of MPEG-7-Based Audio Descriptors for Animal Voice Recognition over Wireless Acoustic Sensor Networks Open
Environmental audio monitoring is a huge area of interest for biologists all over the world. This is why some audio monitoring system have been proposed in the literature, which can be classified into two different approaches: acquirement …