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Currently, heterogeneous management affects the operation of networks in many organizations, causing economic losses and the degradation of the quality of their services. This situation gives way to the need for integrated management, hampered by the presence of multiple integration mechanisms that are incompatible with each other. A possible solution found for this was the use of APIs, in order to ensure that the management information offered by the different managers can be integrated into a single application. The great diversity of existing APIs in the market and the non-existence of a guide for their most appropriate use make the design and deployment of an integrated management system based on them a complicated task. In order to solve the aforementioned difficulties, this paper proposes a procedure to implement integrated management through the use of APIs, which starts from the search for the objectives of the organization, to achieve the deployment of a solution that responds faithfully to them. Said procedure allows to point out, from its first steps, important requirements from the analysis of the types of data that are handled in the solution in question. The usefulness of the proposed procedure was verified through its application in an entity. [ABSTRACT FROM AUTHOR]

In this paper, the results carried out about a study over the possibilities of the Predictive Functional Control (PFC) are presented. The French professor Jacques Richalet and his collaborators developed the PFC. The results presented were obtained, when PFC is applied to industrial processes with complex dynamics such as high order, integral effects in the direct step that make the process asymptotically unstable in open loop and the undesirable phenomena of delay and inverse response. The main objective of the study is to demonstrate the potential offered by the PFC algorithm, in its simplestform, for the control of such processes. To this end, a methodology for synthesizing the PFC controller is developed based on the postulates and principles proposed by the precursors of the method, applied to several real case studies. In all cases, completely satisfactory results were obtained by means of simulation in Simulink-MatLab and finally the results of applying the method to the temperature control of the TCLab minilaboratory developed at the University of Utah are compared. This verifies the real possibilities of the FPC as a prominent alternative to control of real process. [ABSTRACT FROM AUTHOR]

In recent years, a large number of works have been presented that seek to solve the problem of road following by autonomous surface vehicles (ASV). In this sense, a non-linear guidance algorithm (NLGL), which has emerged in recent years for use in aerial vehicles, is presented as an interesting option for path tracking by marine vehicles as it does not use the yaw angle to achieve its objectives. control objectives. The biggest problem that these vehicles present when following paths is the influence of environmental disturbances on them, mainly sea currents and wind. To provide a solution to this problem, this paper presents a guidance and control scheme to achieve the following of straight paths by marine vehicles. It presents a cascade structure with an internal yaw velocity loop, which presents a PI controller as the main element, and the NLGL algorithm in the external loop. Thus, achieving that the vehicle follows a straight path with zero error without the need to measure the yaw angle and avoiding the implementation of an integral action in the external loop. An analysis is made of how the marine currents and the wind influence this system from the linearization of the presented scheme, in addition to a stability analysis of the scheme is presented. Finally, the results of simulation and real experiments of the implementation of this scheme in a small ASV are presented, where the vehicle converges to the desired trajectory with precision in the presence of environmental disturbances. [ABSTRACT FROM AUTHOR]

The water scarcity is a concern of the agricultural industry as it uses four fifths of the of the total fresh water consumed for irrigation and two thirds of the total used for human consumption. For this reason, the development of systems that optimize the use of water in irrigation is essential. In the greenhouses of the UEB "Valle del Yabú" of the Santa Clara municipality, irrigation is carried out using a drip-based system that requires the presence of an operator for decisionmaking who does not have information about some of the hydrometeorological variables that govern the crop. This paper focused on to design a support system for decision-making in irrigation based on machine learning. As an important parameter of the system, the evapotranspiration coefficient of the crop is calculated using the Turc formula. The collected environmental data is conditioned and linear regression, regressive random forests, and gradient-boosted trees regression models are trained with them to determine future evapotranspiration values using the Apache Spark framework. The model that obtained the best results was the regressive random forest with a coefficient of determination (r2) of 0,79 and with it the volume of water lost by the crop is calculated. Finally, the system was able to provide the estimates of both variables, which favour decision-making by specialists. [ABSTRACT FROM AUTHOR]

The Industry 4.0 paradigm aims to obtain high levels of productivity and efficiency, more competitive final products, and compliance with demanding regulations related to industrial safety and cyber-security. To achieve these goals, industrial systems must be equipped with condition monitoring systems for the early detection and localization of faults and cyberattacks. This paper proposes a robust condition-monitoring strategy through the use of Deep Learning algorithms. The proposed scheme was validated using a Tennessee Eastman (TE) process with excellent results. The proposed strategy was compared with other condition monitoring schemes. The higher performance obtained by the proposed scheme indicates its feasibility. [ABSTRACT FROM AUTHOR]

The tracking of radiofrequency signals emission source that use directive antennas constitutes a trend in the modern telecommunication systems. The present investigation is based in the application of digital signal processing techniques in FPGA to estimate the angular position of the signal emission source using monopulse. The paper shows design and implementation of processing blocks to determinate source direction from sum and difference resulting channels of the antenna. The system is done by multidomain simulation platform Simulink and exported to hardware description language for implementation in FPGA (Field Programmable Gate Array). In the obtaining of error curve are used polynomial approximation models. The developed system is verified through eight elements antennas array with digital beamforming. [ABSTRACT FROM AUTHOR]

This paper focuses on the implementation of a hardware coprocessor intended to speed up multiplications over the Fp² finite field extension in the context of bilinear pairings. Being aware of the high degree of parallelism present at different levels of pairings computation, especially in the case of Fp² multiplications, we propose a hardware architecture based on internal and external pipeline structures allowing both, accelerate a single multiplication and perform several multiplications in parallel. This enables the development of a hybrid hardware/software solution on a SoC-FPGA for computing bilinear pairings that improves the performance of equivalent state-of-the-art implementations up to a 22.5%. [ABSTRACT FROM AUTHOR]

Automating the measurement of arterial blood pressure (ABP) remains an ongoing challenge. In a recent paper, a proposal is presented to automate the measurement of PSA based on the pulse transit time or (PTT), measured between the electrocardiographic (ECG) R-peaks and the peaks maximum slope of the oscillometric signal. In this research the method was evaluated; noticing loss of information regarding the pulse amplitude, increased distortion of the envelope and rising measurement system. However, it provides a reference to the ECG signal so that it is proposed to integrate with other methods of measuring PSA greater degree of robustness to motion artifacts such as CITLO method as fiducial mark. [ABSTRACT FROM AUTHOR]

In recent years, a large number of works have been presented that seek to solve the problem of road following by autonomous surface vehicles (ASV). In this sense, a non-linear guidance algorithm (NLGL), which has emerged in recent years for use in aerial vehicles, is presented as an interesting option for path tracking by marine vehicles as it does not use the yaw angle to achieve its objectives. control objectives. The biggest problem that these vehicles present when following paths is the influence of environmental disturbances on them, mainly sea currents and wind. To provide a solution to this problem, this paper presents a guidance and control scheme to achieve the following of straight paths by marine vehicles. It presents a cascade structure with an internal yaw velocity loop, which presents a PI controller as the main element, and the NLGL algorithm in the external loop. Thus achieving that the vehicle follows a straight path with zero error without the need to measure the yaw angle and avoiding the implementation of an integral action in the external loop. An analysis is made of how the marine currents and the wind influence this system from the linearization of the presented scheme, in addition to a stability analysis of the scheme is presented. Finally, the results of simulation and real experiments of the implementation of this scheme in a small ASV are presented, where it can be seen that the vehicle converges to the desired trajectory with precision in the presence of environmental disturbances. [ABSTRACT FROM AUTHOR]

Tennessee Eastman plant (TEP) involves very complex process with presence of non linearity, for that it is necessary the control of important variables. In this paper a TEP model is developed. Gray box models are selected to model the process. Gray box models have advantages with respect to classic model techniques, these techniques are knowledge models and empirical models. First, models are obtained employing mass and energy balances, defining parameters and making supposed. Then, from process data and employing MatLab® software, empirical models are obtained. The combination of all models constitutes the gray box final model and the general objective of this paper. [ABSTRACT FROM AUTHOR]

This paper presents a study of the self-interference on SFN for DTMB based on the results of laboratory tests with professional and commercial receivers. The spectral inefficiency of the actual MFN represents a constraint for the evolution of the telecommunication technologies on Cuba, but It's is necessary to know the real capabilities of SFN on DTMB before a possible transition. The principal restriction for the design of SFN is the incapability of the receivers to estimate and equalize correctly the signals with delays bigger than frame header length. However, signals within this interval could represent either constructive or destructive interference. For that reason, in this paper, two ways to determinate the influence of the auto-interference on the DTMB signal quality are presented. First, the SFN gain values are analyzed using the MER as the measuring parameter. The signal strength and the delay and attenuation between signals are varied to emulate real conditions of a two-transmitter SFN. Second, a group of commercial receivers is evaluated using the TOV condition to determine the necessary attenuation between two SFN signals for keeping the correct visualization. [ABSTRACT FROM AUTHOR]

This paper presents a super resolution Direction of Arrival (DOA) estimation system based on a combined hardware-software implementation for radio frequency signals. After computational simulation of the chosen method, the system is designed and implemented using two multichannel wideband microwave transceivers controlled by a FPGA board connected to a host computer with a PCI Express adapter. A graphic interface is developed to visualize the spatial spectrum and validate the right system performance. The followed procedure shows up the main issues and requirements when this kind of method is implemented. Moreover, a generic modular and flexible hardware solution is proposed where no custom printed circuit board design and fabrication is needed. [ABSTRACT FROM AUTHOR]

This paper shows the obtaining process of a digital beamformer of multiple simultaneous directional patterns for signals reception using the ARRadio evaluation board. The board is based on the integrated transceiver AD9361 and guarantees the reception, digitization and seending to an FPGA (Field Programmable Gate Array) of the received radio waves by each radiofrequency channel. The FPGA is located on the TR4 Development Board. Communication between FPGA and ARRadio is realized through a high speed connector. On the programmable device are performed AD9361's configuration and control, multichannel calibration process based on Fourier Transform (as method of measuring the delay between channels) and beamforming of multiple simultaneous directional patterns digitally. Simulink is used as design tool for digital system develop. Finally is realized the implementation and experimental verification of multiple digital beamforming system. [ABSTRACT FROM AUTHOR]

This paper presents the development of a fuzzy inference module (FIM) implemented on reconfigurable hardware with the ability to dynamically modify its knowledge base. The original FIM is designed using the fuzzy systems development environment Xfuzzy, which allows the generation of VHDL hardware description language code for the FIM architecture. Subsequently, the VHDL code is modified to add ports with the address, data and read / write control signals to the antecedents and rule memories that contain the knowledge base. The modified FIM is encapsulated in an intellectual property module following two possible options, making the corresponding interconnections in each case, so that these memories can be accessed through the added port from a processing system embedded in the same device, enabling the modification of its contents in operation time. The implementations were carried out on two types of reconfigurable devices: a Spartan-3E1600 FPGA, using a processing system based on the Microblaze softcore and the ISE/EDK development environment; as well as on a SoC-FPGA Zynq-7Z010, using its hardcore processing system based on ARM and the Vivado development environment, checking the dynamic modification of the FIM knowledge base. The carried out modifications make it easy to fine-tune the knowledge base during the development stage of a hybrid hardware/software fuzzy controller as well as the implementation of an adaptive fuzzy controller. [ABSTRACT FROM AUTHOR]

This paper describes the new functionalities introduced to the source code of the decoder box model SDP160 of the SOYEA brand to obtain, adjust and correct the Signal Level values and the Signal to Noise Ratio of the DTMB digital television signal received. (Digital Terrestrial Multimedia Broadcast) with 6 MHz channeling. These modifications to the source code of the decoder box give rise to the Tool to monitor the digital television signal. It explains the process of calibration and adjustment of these parameters. The functionalities implemented for storage are shown with flow diagrams. Moreover, it is exposed the incorporated functionalities for the analysis and display on the screen of the received signal data. [ABSTRACT FROM AUTHOR]

Massive neonatal screening is a test performed on all newborns to detect and prevent congenital, hereditary and metabolic diseases that affect the child's normal growth and development. This test consists of making a small puncture in the heel of the baby to take a few drops of blood and place them on a filter paper to be analyzed in the laboratory. One of the stages of this analysis is the quality evaluation of the samples based on elements such as the coloring of the samples, the drying, the presence of impurities and the presence of clots. Because this stage requires high experience, agility and visual memory of the specialists, sometimes samples are taken to the laboratory and they do not provide the best results due to the low quality they present. This paper presents a study to develop an automatic classifier based on deep artificial neural networks that evaluates the quality of the blood samples analyzed. This classifier is based on pattern recognition associated to the color moments and the HSV components, extracted from the images of blood samples. For this, a deep neural network formed by two deep autoencoders and a softmax classifier is trained with examples of images of blood samples, obtaining satisfactory results in the validation of the method with the correct classification of the samples submitted for analysis. [ABSTRACT FROM AUTHOR]

This paper proposes the design of an IMC-PID controller with a fractional order filter (IMC-FPID) for the effective control of water distribution in a main irrigation canal pool. From real-time data and applying the system identification procedure a dynamic mathematical model of this process is obtained, which is represented by a first-order transfer function with a time delay. Based on the model obtained an IMC-PID controller with a fractional order filter was designed that behaves effectively. The simulation results compare the performance of the proposed controller with a conventional IMC-PID controller. In this comparison, the performance index of the integral of absolute error (IAE) was used. The results obtained show that the proposed controller provides lower values of this index and consequently outperforms the conventional IMCPID controller in terms of performance and accuracy. [ABSTRACT FROM AUTHOR]

With the development of the Internet of Things, the number of devices connected to the Internet grows exponentially, and this brings with it a huge increase in the amount of data to be processed in the cloud, increasing traffic, to the detriment of the quality of service. This, together with the low latency and mobility requirements of more than a few applications associated with the Web, has led to a rethinking of the cloud computing paradigm, with decentralized variants appearing that are made closer to the network devices. Fog computing emerges as a new paradigm to solve the problems raised, extending the traditional architecture of cloud computing to the edge of the network. Despite the boom that fog computing has been gaining, there are challenges concerning its implementation in real scenarios, such as smart cities, where the heterogeneity and mobility of devices, as well as the scalability and interoperability required, are aspects that must be considered. The main objective of this paper is the presentation of a guide that guides how to implement this technology in smart cities. The proposed procedure is partially validated for a garbage collection use case in Old Havana, within the framework of a project of the National Program of Science, Technology and Innovation of Informatization. [ABSTRACT FROM AUTHOR]

The aim of this paper is to design 1-Dimensional Non-Uniform Constellation for DTMB standard and evaluate their performance improvements with regard to channel capacity. The use of such constellations offers a biggest spectral efficiency, reception at lower Signal to Noise Ratio and a Shannon limit gap reduction. Such constellations are designed based on the BICM optimization criterion. The DTMB system with the proposed constellations is validated by mean the analysis of BER, Capacity and Spectral Efficiency vs. Signal to Noise ratio. The results are always compared with the original standard. The simulations take into account the different available code rates of the standard, 6 MHz of bandwidth and AWGN channel model. The paper present the theoricals fundamentals of channel capacity, Uniform and Non-Uniform constellations and the description of the design algorithm. Moreover, the characteristics of the resulting constellations are shown. [ABSTRACT FROM AUTHOR]

This paper intends to formalize a proposal of multiservice schemes based on the Digital Terrestrial Multimedia Broadcast (DTMB) standard, using the TDM (Time Division Multiplexing) and LDM (Layered Division Multiplexing) techniques. It is a well-known fact, that TDM is a widely used technique, which has been implemented in multiple applications; on the other hand, LDM which grew out from the Cloud Transmission concept, is a new promising multiplexing technique for offering simultaneously stationary and mobile/indoor services with different robustness and bitrates using the same radiofrequency channel. Recently, LDM has been accepted as a baseline technology for the new generation digital terrestrial television standards (ATSC 3.0). The proposed LDM implementation that is addressed in this paper is based on a structure of two layers for the services: mobile and fixed. In the same way, three different scenarios of TDM schemes have been defined, with the aim of performing a comparative analysis of the performance of both schemes. Finally, based on the obtained results of the simulations carried out, for each of the multiplexing techniques were identified the optimal operating points. [ABSTRACT FROM AUTHOR]

In this paper an implementation of Robotic Operating System (ROS) on a mobile robot designed for human interaction and service is presented. The platform is designed using a digital system based on an Arduino Mega board and a Single Board Computer (SBC) Raspberry Pi in communication with a remote computer. The microcontroller board is used to perform all low-level operations over the hardware. It's established a serial communication between microcontroller and Raspberry Pi which is running various ROS packages to manipulate information. A Raspberry Pi camera it's connected to the SBC and the frames captured by the camera are sent to the remote computer for image processing using ROS and OpenCv; the response is generated on the remote computer in dependence of the image taken. The project gives the description of a layered distributed implementation of ROS in a mobile platform developed in Cuba in lower cost that many present on the market. [ABSTRACT FROM AUTHOR]

Satellite broadcasting systems are an economical alternative for the deployment of television and other services in sparsely populated and difficult to access areas. This paper presents the modeling and hardware implementation of a DVB-S receiver according to the specifications contained in the EN 300 421 standard. The receiver is modeled and validated within the Simulink environment. From the validated model, an equivalent VHDL code is generated using the HDL Coder and HDL Verifier tools. Both Simulink synthesizable HDL modules and Xilinx Core Generator IP modules are used in the design for implementation and validation in a hardware environment, using the FPGA in the Loop tool. A comparison is made between implementation with native HDL blocks from the Simulink environment and the use of modules from the Xilinx platform. [ABSTRACT FROM AUTHOR]

This paper describes the implementation of a motion detector system for traffic control's smart cameras on embedded devices that can be used in multiple application fields. The proposed system detects moving areas in video sequences, thus reducing the processing time of video analysis algorithms by selecting regions of interest. As part of this work, three motion detection modules, and auxiliary blocks, were developed based on the bio-inspired elementary motion detector presented by Reichardt & Hassenstein. These motion detection modules have been incorporated in the portfolio of modules in the XIL XSGImgLib video and image processing library, which aims to speed-up and ease visual image processing applications over Xilinx FPGAs and SoC FPGAs. To test the detectors, a spatio-temporal motion detection application has been implemented on a Spartan-6 LX45 FPGA using video sequences from a vehicular traffic control point, showing execution time improvements on the elementary motion detector block compared with similar developments reported in the consulted literature. [ABSTRACT FROM AUTHOR]

This paper describes the design and implementation of a wireless electrocardiographic monitoring system for Android devices. The system consists of a device that will act as a server located in the patient and another device that will act as a client. The server incorporates the stages of protection against external defibrillators, acquisition and transmission of the signal through a Wi-Fi module (ESP8266 NodeMCU), and the client receives, processes and displays in real time the electrocardiogram (ECG) signal in a smartphone or an electronic tablet, with Android operating system. In addition, it calculates and displays the RR series from ECG and two diagnostic indicators with a delay of less than two seconds. The experimental tests of the prototype with seven volunteers showed the excellent performance of the proposed protocol for the application layer of the system and the fulfillment of the established design requirements and criteria. The system allows registering the ambulatory ECG within a range of up to 15 m and is an excellent alternative to increase the quality of life of the elderly or other people who present problems for locomotion (temporary or permanent). [ABSTRACT FROM AUTHOR]

In this paper, a review of the state of the art of the control strategies used for the water distribution control in irrigation systems is developed, aimed at increasing the operability of these systems, as well as reducing water losses due to operation. The historical advances of this kind of control systems are shown. Finally, some of the challenges of the international scientific community are offered to continue improving the capability and performance of the controllers used in irrigation systems. [ABSTRACT FROM AUTHOR]

Software defined Wireless Sensor Networks (SDWSN) decouples the control plane from the data plane, thus moving the control logic from the sensor node to a central controller. SDWSN is a new paradigm that promise to simplify the network management of traditional Wireless Sensor Networks (WSN). This paper presents a reviews of SDWSN architectures, with special emphasis on the development of the data and control plans and the functionalities provided by these architectures. The development of this technology is still in the initial phase and although it brings benefits to solve the problems of the WSN, the inherent challenges of the WSN characteristics must be overcome. [ABSTRACT FROM AUTHOR]

This paper presents a method for designing a power amplifier for high efficiency Class-E broadband topology using a low- pass filter of a high order is presented. A study of the state of the art regarding the design of a power amplifier Class-E performed operating within the frequency band of 0.8 GHz to 1.5 GHz. In the design accordingly ensures the attenuation of the power of the second and third harmonic, critical to achieving high efficiency amplification criterion. The design equations and simulation were made in AWR Design Environment V13. The efficiency levels achieved were 74%, the efficiency of added power (PAE) 72% power gain was more than 8 dB across the band, a bandwidth of665 MHz, and the band of 60.8% was achieved, with an efficiency drain and PAE above 50%. [ABSTRACT FROM AUTHOR]

The congenital hearing loss causes important changes in the cerebral organization, as well as a delay in the neurodevelopment of the child. The adequate implementation of neonatal auditory screening programs guarantees early diagnosis and intervention. The equipment used in these programs must be easy to operate, portable and present automatic methods for the detection of hearing loss. In this paper we present the Control Module, based on the STM32F429xx microcontroller, of the neonatal screening system known as Infantix, developed by the Neurosciences Center of Cuba. This module has among its functions, feed and control the rest of the system, process the bioelectrical signals from the recording module, store the patient data and their tests, and establish the interface with the user. As a result, a Control Module was obtained, which provides portability to the system, powered by battery and low consumption. The implemented module presents a friendly user interface and the ability to run tests automatically, without the need for highly qualified personnel. With the development of this module, a new alternative for the early detection of hearing loss emerges. [ABSTRACT FROM AUTHOR]

The objective of this paper is to design and implement an automated robotic installation to perform measurements of magnetic induction and data processing. To achieve this goal, an automated prototype carrying the Hall effect probe is designed and constructed. A software is developed for the control and processing of the data obtained in the measurements made that allows statistical calculations and data mapping. The magnetic induction on the surface of the conditioner that provides the possibility of evaluating the characteristics of the same. With this work you can achieve quality in terms of efficiency and precision when taking measurements to perform the magnetic characterizations in the Magnetic Characterization Laboratory of the CNEA, the only laboratory of this type in the country that is close to being accredited. To achieve greater precision in the acquisition of measurements by providing a reliability laboratory at the level of other laboratories in the world, since it will now have calibrated equipment, automatic measurements and experts in these subjects. [ABSTRACT FROM AUTHOR]

Wind generated waves are a very random phenomenon and it is one of the main environmental disturbances that affect the operation of Autonomous Underwater Vehicles (AUV) navigating in shallow waters and coastal zones. In order to attenuate the undesirable effect of the ocean waves on the control system of AUVs, the measurements from the sensors need to be filtered out, using the estimated wave encounter frequency. Developing an estimator capable of providing the encounter frequency in real time using the Algebraic Identification method, is fully reported in this paper. In the design of the proposed algebraic estimator, a linear differential equation to represent the waves spectrum is used, which simplifies the mathematical procedure. The simulations carried out with simulated data and with real data from an experiment at sea, show the excellent results of the estimator in terms of precision in the final value and estimation time. In addition, its show the use of the wave encounter frequency estimation to adjust the filtering techniques previously implemented for the vehicle in a proper way, which results in a reduction of vibrations and energy consumption of the vehicle's rudder system. [ABSTRACT FROM AUTHOR]

FuzzyPred is an unsupervised-learning data-mining algorithm, which allows extracting fuzzy predicates in normal forms from the data. This method is used to solve a descriptive task where it is not known the kind of relationships that are to be found. The goal is to find patterns that describe the data and their relationships. Due to the large set of solutions or search space that may have, it was modeled as an optimization problem, where metaheuristics are applied to find good solutions. FuzzyPred provides as a result a set of predicates, evaluated in each of the quality measures, in spite of the fact that only one of the measures is optimized (truth value). This paper introduces a multiobjective approach for FuzzyPred by using two of the most known multi-objective optimization techniques: Pareto technique (or pure multi-objective) and weighted factors. An experimental study is presented in order to compare the efficacy of both techniques in this problem. The results in several international databases show that better results are obtained by the pure multi-objective technique. [ABSTRACT FROM AUTHOR]

Image alignment is a crucial step in recognition systems based on biometric images, since it facilitates image analysis and comparison. In particular, ear biometric images may present occlusion problems because of hair, earrings or hats. These occlusions decrease the ear recognition zone; as well as the variation of lighting in the capture process increases difficulty of extracting traits or fiducial points. Mutual information is a statistical technique based on the information provided by the distribution of the intensities in images. The proposed method based on this technique does not depend on the actual values of the pixels but on how they are distributed in the image, this allows you to deal with problems of occlusion, effects of lighting, and noise. In this paper, we will show the usefulness of mutual information between ear images for their alignment. To do this, several experiments were conducted comparing this method with others of a statistical nature, such as those in PCA and other based on fiducial points, such as warping. The evaluation of results is made through recognition sequences by representing the ear with functions. [ABSTRACT FROM AUTHOR]

This paper presents the design of a remote virtual instrument, hardware-software set, used for the characterization of two-terminal electronic devices, such as resistors and diodes, with remote access capability. The characterization of a device consists of measurement of ordered pairs (voltage, current) for drawing current curves as a function of voltage (I-V characteristic). The hardware system consists of: a conditioning and excitation circuit, a power supply, a Data Acquisition Board (DAQ Board) and a personal computer to which different client computers connect through a TCP/IP network. The software is a virtual instrument programmed in LabVIEW 2015 and runs on the computer. This program performs the signal's processing associated to the devices, acquired through the DAQ Board, for the subsequent presentation of the results. The programming made allows the execution and configuration of the virtual instrument in a remote form through a web interface. The possibility to save measurement results at the user's computer as a text file was included. For the system's validation, different measurements of different two-terminal electronic devices were compared with its theoretical results and experimental data provided by their manufacturers. [ABSTRACT FROM AUTHOR]

During the last years, Cuba has been deploying the Digital Terrestrial Television service in accordance with the DTMB standard on its Multiple Frequency Network (MFN) mode. However, as part of the evolution of this technology, some countries had evolved toward the deployment of Single Frequency Networks (SFN). Studies on SFN show that is possible to get a more homogeneous distribution of the received signal quality and, besides, the different transmitter's incoming signals might be combined in a constructive way to get a reception gain. However, a group of authors considers that an increasing on the received signal total intensity is not always in correspondence with a better reception quality. That's why reception parameters like signal to noise ratio (SNR) and modulation error ratio (MER), have been considered to evaluate the gain, instead of signal strength. In this paper, it is presented an analysis, based on laboratory test results, that allow characterizing the SFN gain for DTMB standard where the MER parameter has been considered like a received signal quality indicator. Furthermore, the results of evaluating the reception capacity of a commercial receiver on SFN in the presence of multipath with near to guard interval length are presented. [ABSTRACT FROM AUTHOR]

This paper deals with the implementation of an Artificial Neural Network on reconfigurable hardware. The authors developed an application for character recognition using a feedforward backpropagation neural network, developed on an FPGA. In order to carry out such implementation the computational model of the neural network is translated into a FPGA synthesizable model using the Matlab/Simulink environment as well as the System Generator Xilinx tool. The results are illustrated in a prototype developed on an Atlys board. The authors focus the analysis and discussion on the main aspects considered to synthetize an ANN on an FPGA as well as the methodology to follow during such implementation, which are the main contributions of this paper. [ABSTRACT FROM AUTHOR]

This research paper deals with the experiences of the Group of Automation, Robotics and Perception (GARP) of the Universidad Central "Marta Abreu" de Las Villas (UCLV) and the Territorial Research Station of the Sugarcane (ETICA), in the use of an Unmanned Aerial Vehicles (UA V) for multispectral photogrammetry, with the aim at mapping experimental sugarcane plantations. Experimental tests with two of the best image processing software available at the market were done, Agisoft Photoscan and Pix4D, generating 3D orthomosaics and index maps NDVI (Normalized Difference Vegetation Index). Both programs were evaluated in terms of ease of use, processing time, and visual quality of the product, having the flight conditions of the UAV defined for an adequate processing of the images collected with the Parrot Sequoia Multispectral Camera. The results indicated a Pix4D program as the most efficient one to calculate vegetative indexes due to the incorporation of radiometric corrections specific for the orthomosaics. The results achieved were analyzed in collaboration with expert agronomists from ETICA, to make comparisons between the different groups of processed images and the correlation between the index maps with the variety of sugarcane crops, their age, the levels of plant vigor and other agricultural variables. The obtained results show that the spectral response permits to discriminate the fields depending on the age and demographic density in each parcel, but the NDVI don't facilitate the determination of different varieties with the same plantation date. [ABSTRACT FROM AUTHOR]

An AUV is an underwater vehicle that carries its own power supply and computational units. The HRC-AUV is a prototype develop by "Center for Navy Researching and Development" (CIDNAV) for undersea researching. In this paper is presented the implementation of a navigation system based on the nonlinear dynamical model for the HRC-AUV which allows to estimate sea currents magnitude and direction in the operation environment improving the navigation results. The results are validated through simulation using the 6 degrades of freedom (DOF) nonlinear model obtained for the HRC-AUV and using data sets obtained in experimental sessions directly from the vehicle. [ABSTRACT FROM AUTHOR]

In this paper, two frame synchronization schemes and one frequency synchronization scheme are proposed for TDS-OFDM, technique that DTMB uses. The first frame synchronization model is based on the value of the autocorrelation of the received signal. The second uses the result of the correlation of this signal with locally generated PN. This way, two solutions for the same problem are presented, each one with its own singularities on implementation method and performance characteristics. The fine frequency synchronization model uses the alternating PN autocorrelation algorithm. It enjoys the maximum length of identical PN between non-consecutive guard intervals. The tests are realized over different channel models with AWGN and multi-path fadings or Doppler Effect fadings. The validation of the schemes is gotten through the simulation results in MatLab/Simulink models and its comparison with the scientific literature. A brief introduction to DTMB standard is realized and a special attention is given to synchronization stages, signal frames structure and the use of PN sequences as frame header. [ABSTRACT FROM AUTHOR]

The Time-Slotted Channel Hopping (TSCH) mode for medium access control (MAC) included in the standard IEEE 802.15.4 has been designed as the multichannel MAC protocol for Low-power and lossy networks (LLNs), a key component of the Internet of Things (IoT). Its flexibility makes the TSCH mode a very promising candidate for the future of the MAC layer in LLNs. As such, its performance under different conditions must be assessed, so that accurate guidelines for its application can be drawn. In this paper, we present an experimental evaluation of the protocol based on simulations on ContikiOS Java Simulator (COOJA). The experimental setup is based on the 6TiSCH architecture for LLNs. Results show that TSCH performs better under conditions of medium traffic load than under low or high traffic load. [ABSTRACT FROM AUTHOR]

Assisted ventilation is a technique applied to patients with complicated respiratory problems due to multiple pathologic factors, specially applied in surgery rooms and intensive care rooms. Actual assisted ventilation systems (smart ventilators), used to incorporated complex invasive catheter with several sensors, located through esophagus, which enhance the probability of patient damage during positioning medical procedure and device use. They are used as ducts to assure patient nourishment during long times of clinical recovery, for that reason they require periodical replacement, because the biomaterial employed for they manufactory can't be expose to digest systems liquids for high used times (< 5 days). These paper shows the design of an alternative non-invasive for the study and characterization of diaphragmatic activity related with neural controlled respiration, from an electrode array selection placed properly on the thorax, connected to acquisition Kit (ADS1298ECG-FE) controlled by an interphase that allowed all inner channel representation. Helped by a processing tool based on MATLAB, could be check the existing correlation (> 95%) between respiratory frequency thoracic record and the nasal measure, that allowed simplified the following process of respiratory mechanic on subjects with neural assisted ventilation. [ABSTRACT FROM AUTHOR]

In this paper, we propose a Wireless Sensors Networks for "San José" greenhouse in Santiago de Cuba to measure in real time temperature, relative humidity, and solar radiation. These measurements are not carried out in these installations due to the lack of instruments. In order to measure these variables, it was designed a network of 24 shortrange ēKo sensors nodes distributed in the 24 greenhouses and 1 short range ēKo base station located in the administration office, connected in cluster-tree topology. This topology provides fault tolerance, scalability, and energy efficiency and the ēKo platform guarantees durability because the batteries are recharged with solar panels. Finally, a simulation in NS2 probed that cluster-tree topology is suitable for this application because beacon-enabled mode saves energy with a higher data delivery ratio and latency. Real-time monitoring of environmental condition will help to achieve greenhouse production of high quality and quantity [ABSTRACT FROM AUTHOR]

In this paper is presented a study of the insertion of metamaterial structures in a rectangular patch antenna fed by microstrip line linear polarization to achieve increased bandwidth. The main characteristics of left-handed materials are analyzed and their behavior is investigated inside the antenna, which allows obtaining an increase bandwidth and improve some of the fundamental parameters in the design of rectangular patch antennas by applying the theory of themselves and simulation tools supported by computer-assisted. Initially a study of the influence that makes is performed, the cell structure composed by complementary ring resonators open square in shape with their respective "gaps" associated to the patch and position thereof on the parameters of interest microstrip antenna especially bandwidth. The results obtained allowed to conclusions that the location of metamaterial associated power line exerts a marked influence on the radiating structure; an increase in bandwidth and a decrease in efficiency over conventional microstrip antenna structures occur no left-handed. Besides confirm that the increased the dimensions of the complementary rings cause a decrease in the resonance frequency. Finally, the design of a microstrip antenna with left-handed structures for the 2.4 GHz ISM band is presented. [ABSTRACT FROM AUTHOR]

The development of autonomous vehicles is a subject of great interest in the international scientific community. For the accomplishment of missions without human intervention it is vitally to have an algorithm or guiding law. In this paper we present the results obtained by simulation with the guidance algorithm based on distance L1, during the tracking of straight and circular paths by an autonomous aerial vehicle (UAV). The algorithm produces a lateral acceleration command that is interpreted by the balancing controller to achieve convergence to the path. The results of the simulation demonstrate the good performance of the algorithm, for both straight and circular paths. [ABSTRACT FROM AUTHOR]

In this paper, the kinematic task space control scheme of 2DOF pneumatic parallel robot is developed in order to solve the trajectory tracking problem in industrial application of motion simulator. The control system take into account a two loops cascade, an internal loop that solves the decoupled joint control and the external loop implemented in the task space control in order to solve de trajectory tracking specifications. The kinematic model by vectorial formulation is used without the need of a dynamic model of a robot. In order to solve the trajectory tracking problem, the desired input is feed-forwarded according to the specific condition of the digital implementation in the kinematic task space control scheme. To illustrate the performance of the proposed control scheme, experimental results obtained through several test with the parallel robot of 2 DOF are presented. Experimental results confirm the expected tracking response in the task space, showing adequate performance. [ABSTRACT FROM AUTHOR]

In this paper we present the time delay compensation through the design of control strategies like Filtered Smith Predictor, Modified Smith Predictor (MSP) and Predictive Control, for stable, unstable and non-minimal phase multivariable processes. Three case studies are used, where the behavior of each strategy is shown by simulation, according to the dynamic characteristics of the process. The simulation results are obtained by Matlab® and the comparison of the control strategies used is performed by the time performance of the controlled system, rejection of disturbances, monitoring of references and handling of uncertainties. In addition, a modification to the MSP is presented for the case of disturbance in the load. The simulation results show that the performance of the proposal is higher than the original MSP version. [ABSTRACT FROM AUTHOR]

In this paper a review of the Smith predictor and its modifications oriented to improve its performance is developed. The historic progress of Smith predictor is shown. Finally, some challenges of the international scientific community to continue improve the performance of the Smith predictor in control of plants characterized by dominant time delay are offered. [ABSTRACT FROM AUTHOR]

This paper presents a robust nonlinear PI control. The dynamic balance of tradeoff between performance and robustness inside of a robustness region and to guarantee a balance's trayectory that minimize the integrated absolute error are the objectives of the design. A parabolic combined with static non linearity of dead zone and saturation is the nonlinear function used, its tuning has been formulated as a multi-objective optimization problem using global performance indices. With respect to other approaches of nonlinear PI control previously presented, the proposed tool is the first for solving the design's problem considered and is simple while increasing the performance-adjustment and the industrial applicability. A simulationt test for the complex process of mould level control in a steel continuous casting using the new robust nonlinear PI control illustrates the efficiency of this method. [ABSTRACT FROM AUTHOR]

This paper reports the main design elements of a programmable gain transimpedance amplifier (TIA) with a photodiode as sensor device. The photodiode and the TIA are part of the measurement system of a plate reader with two reading modes, absorbance and fluorescence. The photodiodes are one of the most used sensors in spectroscopy systems and TIA are fundamental for conditioning signals from such sensor block. An analysis of some aspects that must be considered in their design, such as bandwidth, gain, noise as well as the main sources of noise that affect their operation is done. An analysis of the stability of the system to ensure proper operation. Emphasis on the characteristics of the components used and detail some layout suggestions of printed circuit boards in order to minimize the leakage currents. The design presented is a novel and feasible alternative to maximize the dynamic range of measurement plate readers or other optical spectroscopy system designed and produced by the Cuban biopharmaceutical industry. [ABSTRACT FROM AUTHOR]

The current industry requires of the fault diagnostic systems with a detection stage that can ensure a small number of false alarms and a quick detection of faults, regardless of their nature and magnitude. However, a common problem of the approaches based on the Multivariate Statistical Process Monitoring (MSPM) which are currently used for this purpose is the difficulty of them to detect small magnitude faults without incurring a high number of false alarms, and faults not detected. To overcome this drawback, in this paper is proposed a novel approach that combines the advantages of kernel methods, and a novel EWMA with enhanced dynamic to filter the T² Hotelling statistic used as the fault detection mechanism in a complex chemical process. [ABSTRACT FROM AUTHOR]

In this paper the modeling and simulation of direct and inverse kinematics of a robot joint four degrees of freedom that clip as end effector to manipulate objects was made, and has defined its working surface in three dimensional space. Kinematic robot control trajectories for tracking point to point, coordinated and continuous to the end is performed. Dynamic control is performed using an action undocked on-off control. Free hardware platform Arduino, Arduino Mega2560 specifically and its development environment was used. It was also designed and implemented a shield plate type with additional electronics needed to control the manipulator. Finally, a graphical interface using as a tool the LabWindows / CVI 9.0 software from National Instruments, which allows the user to send from the PC the desired joint and Cartesian coordinate values, including the position of the clamp and planning was implemented tasks and types of trajectories. [ABSTRACT FROM AUTHOR]