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Active electronic egg for breeding of endangered birds
(IEEE, 2010)
This work presents a prototype of an artificial egg for use in breeding centres for endangered birds. These eggs replace the inert artificial eggs that are given to the birds while the natural egg is incubated in the ...
Development of a wireless low power datalogger with high performance converter
(Kaunas University of Technology, 2015)
In this work, a low power datalogger with a wireless connection is described. The datalogger can be used as a portable and stand-alone device, as well as a wireless sensor network node. A flexible architecture, which ...
An IoT barrel bung to monitor evolution wine elaborated under biological aging
(Elsevier, 2022)
Wine aging is a crucial step in the elaboration of special and high quality wines as the sherry and
like-sherry type wines are. Some of these wines remain in oak barrels during a long time period,
subjected to the ...
An automated design flow from linguistic models to piecewise polynomial digital circuits
(IEEE, 2010)
This paper describes how the different CAD tools of the environment Xfuzzy 3, developed in Microelectronics Institute of Seville and University of Seville, allow to translate expressive linguistic models into mathematical ...
A simple neuro-fuzzy controller for car-like robot navigation avoiding obstacles
(IEEE, 2007)
This paper describes how the combination of neuro-fuzzy techniques with geometric analysis offers a good trade-off between purely heuristics and purely physical approaches when solving the problem of car-like robot navigation. ...
A CAD approach to simplify fuzzy system descriptions
(IEEE, 2006)
Simplification is an important step in the design of a fuzzy system since the membership functions that represent the fuzzy sets as well as the 'if-then' rules that relate them usually contain redundant information. This ...
Automatic extraction of linguistic models for image description
(IEEE, 2010)
This paper describes a methodology to extract fuzzy models that describe linguistically the low-level features of an image (such as color, texture, etc.). The methodology combines grid-based algorithms with clustering and ...
Neuro-fuzzy systems for daily solar irradiance classification and PV efficiency forecasting
(Elsevier, 2023)
Considering the impact of photovoltaic installations and the fact that their performance depends on the type of day, this paper presents a classifier that makes use of fuzzy logic to classify daily irradiance profiles as ...
Fast FPGA prototyping to explore and compare new SPWM strategies
(Elsevier, 2024)
This study presents a Flexible Test Bench (FTB) implemented with FPGA that synthesises of a large number of strategies that apply “Spread Spectrum” to reduce the energy of the fundamental harmonics present in a conventional ...
Neuro-fuzzy techniques to optimize an FPGA embedded controller for robot navigation
(Elsevier, 2014)
This paper describes how low-cost embedded controllers for robot navigation can be obtained by using a small number of if-then rules (exploiting the connection in cascade of rule bases) that apply Takagi–Sugeno fuzzy ...