This article reviews the applications of artificial neural networks (ANNs) in greenhouse technology, and also presents how this type model can be developed coming years by adapting to new technologies such as internet things (IoT) machine learning (ML). Almost all analyzed works use feedforward architecture, while recurrent hybrid are little exploited various tasks greenhouses. Throughout document, different network training techniques presented, where feasibility using optimization models...

The Internet of Things (IoT) paradigm allows the connection and exchange information between millions smart devices. This grows develops exponentially as do risks attacks on IoT infrastructures. Security, privacy, reliability, autonomy are most important requirements in Systems. If these issues not guaranteed, system could be susceptible to malicious users use. In centralized systems, greater, especially when data is transmitted devices shared with other organizations. To avoid types...

Motion control is widely used in industrial applications since machinery, robots, conveyor bands use smooth movements order to reach a desired position decreasing the steady error and energy consumption. In this paper, new Proportional-Integral-Derivative (PID) -type fuzzy logic controller (FLC) tuning strategy that based on direct relations proposed compute PID constants. The motion algorithm composed by PID-type FLC S-curve velocity profile, which developed C/C++ programming language;...

Signal strength-based positioning in wireless sensor networks is a key technology for seamless, ubiquitous localization, especially areas where Global Navigation Satellite System (GNSS) signals propagate poorly. To enable local area network (WLAN) location fingerprinting larger while maintaining accuracy, methods to reduce the effort of radio map creation must be consolidated and automatized. Gaussian process regression has been applied overcome this issue, also with auspicious results, but...

Zirconium oxide (ZrO2) thin films were prepared by the sol-gel dip coating technique, in combination with annealing at different temperatures air atmosphere, final goal of studying water wettability surface. The effects on structural and optical properties ZrO2 investigated to check characteristics material. X-ray diffraction (XRD) patterns annealed 450 °C 550 show formation tetragonal phase, layers constituted nanoparticles average particle size 21 nm 25 nm, respectively. Fourier-transform...

Heart diseases are among the most common death causes in population. Particularly, sudden cardiac (SCD) is cause of 10% deaths around world. For this reason, it necessary to develop new methodologies that can predict event earliest possible stage. This work presents a novel methodology when person an SCD episode before occurs. It based on adroit combination empirical mode decomposition, nonlinear measurements, such as Higuchi fractal and permutation entropy, neural network. The obtained...

TiO2-SiO2 thin films were created on Corning glass substrates using a simple method. Nine layers of SiO2 deposited; later, several TiO2 deposited, and their influence was studied. Raman spectroscopy, high resolution transmission electron spectroscopy (HRTEM), an X-ray diffractometer (XRD), ultraviolet-visible (UV-Vis), scanning microscope (SEM), atomic force microscopy (AFM) used to describe the sample's shape, size, composition, optical characteristics. Photocatalysis realized through...

This paper presents a method for optimizing blade designs in smart rotors; the objective is to maximize power regardless of wind conditions. An extensive analysis what known as “smart blades,” from aeronautical solutions and helicopter rotors provided. Moreover, trends computational experimental research are analyzed, an assessment categorization options available aerodynamic control surfaces made. The study its main components such sensors, mechanisms actuation, materials included. Advance...

Wind energy technology is facing new challenges due to the increment in rotor diameter. Nowadays, several studies focus on development of flow control methods for load alleviation, order increase lifetime blades. This paper describes a shape morphing-based method smart The study includes an aerodynamic model with computational search algorithm find optimal Cp. A section morphing was developed prove performance method. blade prototype incorporates novel structure flexible skin and compliant...

Glaucoma is an eye disease that gradually deteriorates vision. Much research focuses on extracting information from the optic disc and cup, structure used for measuring cup-to-disc ratio. These structures are commonly segmented with deeplearning techniques, primarily using Encoder-Decoder models, which hard to train time-consuming. Object detection models convolutional neural networks can extract features fundus retinal images good precision. However, superiority of one model over another a...

The calculation of weight and mass in aquaculture systems is great importance, since with this task, it decided when to harvest; generally, the above manipulating body manually, which causes stress fish body. Said can be maintained for several hours. To solve problem an improved method was implemented using artificial intelligence, near-infrared spectroscopy camera, Haar classifiers, a mathematical model. Hardware software were designed get photograph its environment real conditions. This...

Amorphous CeO 2 thin films were deposited by a dip-coating method on Corning glass substrates and annealed for one hour at the temperatures (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>T</mml:mi></mml:math>) of 250, 450, 550°C in air crystallization. The precursor solution was prepared dissolving cerium acetate methanol, lactic acid, glycerol, trimethylamine 55°C. X-ray diffraction (XRD) patterns showed cubic structure . From XRD data employing Scherrer formula,...

Modern outdoor self-localizing computer vision applications require descriptors more than repeatability. The need to be invariant light conditions and transformation changes give support for efficient classification. This paper investigates a new framework based on the genetic algorithm create optimize extensible modular specific environments. returns with improved efficiency classification performance. It controls image processing machine learning parameters optimizes descriptor size by...

Ubiquitous global positioning is not feasible by GNSS alone, as it lacks accurate position fixes in dense urban centres and indoors. Hybrid methods have been developed to aid those environments. Fingerprinting localization wireless local area networks (WLANs) a promising aiding system because of its availability, accuracy, error mechanisms opposed that GNSS. This article presents low-cost approach ubiquitous, seamless based on particle filter integrating pseudoranges WLAN received signal...

Currently, agricultural systems are inadequate to meet the demand of population, coupled with constant degradation natural resources. Therefore, it is necessary explore alternatives increase productivity and quality crops minimal environmental impact. The use plant growth-promoting bacteria can provide solutions some agri-environmental problems replace or minimize conventional practices. In this study, a Bacillus pumilus strain properties was isolated from mature compost. vitro, ability...

Erbium-doped cadmium selenide thin films grown on 7059 Corning glass by means of a chemical bath at 80 °C were prepared. Doping was performed adding an aqueous Er(NO3)33·H2O dilution to the CdSe growth solution. The volume Er doping solution varied obtain different concentration (x at%). Thus, in Cd1−xErxSe samples, x values obtained 0.0–7.8 at% interval. set CdSe:Er synthesized hexagonal wurtzite (WZ) crystalline phase are characterized lattice parameters (a and c) that increase until =...

Electrical power quality is one of the main elements in generation systems. At same time, it most significant challenges regarding stability and reliability. Due to different switching devices this type architecture, kinds generators, non-linear loads are used for industrial processes. As a result this, need classify analyze Power disturbance (PQD) prevent degradation system reliability affected by non-stationary oscillatory nature. This paper presents A Novel Mul-titasking Deep Neural...