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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]

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]