568 results on '"Rico A"'
Search Results
2. Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence
- Author
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Juan Ramon Rico-Juan, Victor M. Sanchez-Cartagena, Jose J. Valero-Mas, Antonio Javier Gallego, Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, Reconocimiento de Formas e Inteligencia Artificial, and Transducens
- Subjects
eXplainable Artificial Intelligence ,Machine Learning ,General Engineering ,Online Judge systems ,Student profile identification ,Multi-Instance Learning ,Computer Science Applications ,Education - Abstract
Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students. Such an evaluation generally provides a single decision based on a rubric, most commonly whether the submission successfully accomplished the assignment. Nevertheless, since in an educational context such information may be deemed insufficient, it would be beneficial for both the student and the instructor to receive additional feedback about the overall development of the task. This work aims to tackle this limitation by considering the further exploitation of the information gathered by the OJ and automatically inferring feedback for both the student and the instructor. More precisely, we consider the use of learning-based schemes—particularly, Multi-Instance Learning and classical Machine Learning formulations—to model student behaviour. Besides, Explainable Artificial Intelligence is contemplated to provide human-understandable feedback. The proposal has been evaluated considering a case of study comprising 2,500 submissions from roughly 90 different students from a programming-related course in a Computer Science degree. The results obtained validate the proposal: the model is capable of significantly predicting the user outcome (either passing or failing the assignment) solely based on the behavioural pattern inferred by the submissions provided to the OJ. Moreover, the proposal is able to identify prone-to-fail student groups and profiles as well as other relevant information, which eventually serves as feedback to both the student and the instructor. This work has been partially funded by the “Programa Redes-I3CE de investigacion en docencia universitaria del Instituto de Ciencias de la Educacion (REDES-I3CE-2020-5069)” of the University of Alicante. The third author is supported by grant APOSTD/2020/256 from “Programa I+D+I de la Generalitat Valenciana”.
- Published
- 2023
3. Chained Orchestrator Algorithm for RAN-Slicing Resource Management: A Contribution to Ultra-Reliable 6G Communications
- Author
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Jose J. Rico-Palomo, Jesus Galeano-Brajones, David Cortes-Polo, Juan F. Valenzuela-Valdes, and Javier Carmona-Murillo
- Subjects
General Computer Science ,Capacity ,Resource management ,Latency ,General Engineering ,Channel estimation ,General Materials Science ,Electrical and Electronic Engineering ,Reliability ,6G ,RAN slicing - Abstract
The exponentially growing trend of Internet-connected devices and the development of new applications have led to an increase in demands and data rates flowing over cellular networks. If this continues to have the same tendency, the classification of 5G services must evolve to encompass emerging communications. The advent of the 6G Communications concept takes this into account and raises a new classification of services. In addition, an increase in network specifications was established. To meet these new requirements, enabling technologies are used to augment and manage Radio Access Network (RAN) resources. One of the most important mechanisms is the logical segmentation of the RAN, i.e. RAN-Slicing. In this study, we explored the problem of resource allocation in a RAN-Slicing environment for 6G ecosystems in depth, with a focus on network reliability. We also propose a chained orchestrator algorithm for dynamic resource management that includes estimation techniques, inter-slice resource sharing and intra-slice resource assignment. These mechanisms are applied to new types of services in the future generation of cellular networks to improve the network latency, capacity and reliability. The numerical results show a reduction in blocked connections of 38.46% for eURLLC type services, 21.87% for feMBB services, 12.5% for umMTC, 11.86% for ELDP and 11.76% for LDHMC., Spanish National Program of Research, Development, Innovation, under Grant RTI2018-102002-A-I00, Junta de Extremadura under Project IB18003 and Grant GR21097
- Published
- 2022
4. Feedforward for Robust Reference Tracking in Multi-Input Feedback Control
- Author
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Rico-Azagra, Javier, Gil-Martinez, Montserrat, 0000-0002-5500-6093, and 0000-0002-6547-5301
- Subjects
Frequency response ,General Computer Science ,quantitative feedback theory ,Computer science ,Bandwidth (signal processing) ,Automatic frequency control ,General Engineering ,Feed forward ,control allocation ,model-matching ,TK1-9971 ,Reduction (complexity) ,Noise ,Quantitative feedback theory ,Mid-ranging control ,Control theory ,General Materials Science ,Electrical engineering. Electronics. Nuclear engineering ,Robust control ,valve position control ,robust control - Abstract
This paper examines methods to incorporate feedforward loops of known external inputs (output reference) into a multi-input feedback control structure to achieve certain robust performance of its output. Undoubtedly, feedforward can reduce the need for feedback and therefore the amplification of sensor noise at actuators, as occurs in single-input control. Beyond that, since there are several available inputs, a convenient distribution of feedforward and feedback can minimise the control action at each input and offer benefits at all frequencies. The procedure is as follows: because there are rough plant models of the behaviour from each input to the output, it is possible to approximate the individual control demand that will satisfy the performance. Based on this, individual feedforward filters allocate the control bandwidth among the inputs in order to build an equivalent plant that has an equal or greater magnitude than any individual plant at each frequency. Next, the uncertainty of this equivalent plant is addressed by feedback that reduces the closed loop deviation of magnitude frequency responses. The reduction is sufficient to enable a master feedforward to place them, at a second step, around the desired tracking performance model without violating any deviation tolerances. Individual feedback controllers distribute the total feedback among the inputs in order to have the least possible feedback at each frequency. A first example illustrates the method and the relevance of a feedforward orientation to reduce the individual control action, instead of the individual feedback action. Another example proves the superiority of adding feedforward loops to feedback-only schemes and highlights the benefits of robust design methods such as Quantitative Feedback Theory (QFT). This paper also provides the algorithms to employ in response to new robust control specifications in the framework of QFT.
- Published
- 2021
5. Impulse Response Modeling of Underwater Optical Scattering Channels for Wireless Communication
- Author
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Ruben Boluda-Ruiz, Khalid A. Qaraqe, Pedro Rico-Pinazo, Antonio García-Zambrana, and Beatriz Castillo-Vazquez
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Underwater optical wireless communication (UOWC) ,lcsh:Applied optics. Photonics ,Computer science ,02 engineering and technology ,Monte-Carlo simulation ,01 natural sciences ,Delay spread ,010309 optics ,Henyey-Greenstein model ,Superposition principle ,020210 optoelectronics & photonics ,Interference (communication) ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,Path loss ,lcsh:QC350-467 ,Electrical and Electronic Engineering ,Underwater ,Impulse response ,Attenuation ,Channel impulse response (CIR) ,lcsh:TA1501-1820 ,Atomic and Molecular Physics, and Optics ,lcsh:Optics. Light ,Communication channel - Abstract
Despite the fact that underwater optical wireless communication (UOWC) systems are able to provide high-data rate links with high security, the performance of these systems presents several limitations related to the maximum achievable distance due to attenuation, and scattering effects. Hence, quantifying the signal attenuation, and the time-dispersion produced by such effects represents a crucial work in channel modeling. Motivated by this, we present, for the first time, a novel, and unified impulse response modeling of underwater optical scattering channels based on the superposition of one impulsive component, and one dispersive component with two degrees of freedom. We provide analytical results for channel path loss, and channel impulse response (CIR) which are validated through Monte-Carlo simulations based on photon-tracing for clear ocean, coastal, and harbor waters. In order to provide a physical insight, the developed CIR is used to compute the root-mean-square (RMS) delay spread as a function of distance, and type of water, as well as to analyze in greater detail the impact of inter-symbol interference (ISI) on the data rate. These outcomes can be used for high-speed systems design, and optimization.
- Published
- 2020
6. Low-Voltage 0.81mW, 1–32 CMOS VGA With 5% Bandwidth Variations and −38dB DC Rejection
- Author
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Hector Daniel Rico-Aniles, Jaime Ramirez-Angulo, Jose Miguel Rocha-Perez, Antonio J. Lopez-Martin, and Ramon Gonzalez Carvajal
- Subjects
low power ,linear transconductors ,Low-voltage ,transresistance amplifier ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,CMOS amplifiers ,lcsh:TK1-9971 - Abstract
A CMOS low-voltage amplifier with approximately constant bandwidth and DC rejection is introduced. The design is based on the cascade of a wide linear input range OTA, an op-amp and a servo-loop with extremely large time constants. It operates with ±0.45V supplies and a power consumption of 0.81mW in 180nm technology. The bandwidth changes only from 9.08MHz to 9.54MHz over a gain range from 1 to 32, it has a 9.8Hz low cutoff frequency and a DC attenuation of 38dBs. DC floating voltage sources are used to keep the gates of all differential pairs at a constant value close to a supply rail in order to operate the amplifier circuit with minimum supply voltage. The proposed circuit has small and large signal figures of merit FOMSS = 5380 (MHz*pF/mW) and FOMLS = 0.0085((V/ns)*pF/mA) for a nominal gain A = 32.
- Published
- 2020
7. Sizing a Battery Energy Storage System for Hybrid Renewable Power Plants Based on Optimal Market Participation Under Different Market Scenarios.
- Author
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Martinez-Rico, Jon, Zulueta, Ekaitz, de Argandona, Ismael Ruiz, Armendia, Mikel, and Fernandez-Gamiz, Unai
- Subjects
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BATTERY storage plants , *HYBRID power systems , *POWER plants , *HYBRID power , *ELECTRICITY markets - Abstract
This article presents a method for selecting the best battery sizing based on an optimal market participation strategy in a hybrid renewable power plant. The proposed formulation considers different scenarios to ensure the reserve provision compliance and includes two terms. The first one maximizes the day-ahead and automatic frequency restoration reserve (aFRR) market revenues. The second minimizes the battery degradation, accounting for both cycling and calendar ageing effects. The Iberian Electricity Market is selected as the study case, and two different market scenarios are compared: the current market scenario and the upcoming one, in which the upward and downward aFRR band offers are independent. The operation of a set of batteries is simulated until their end of life, and results reveal that energy/power ratios higher than 3 h for the current market scenario, and than 4 h for the upcoming one, are less cost effective. Regarding the best battery energy storage systems sizing, the selection varies considering incomes or profitability criteria. Moreover, keeping the current prices, in the upcoming market scenario hybrid renewable power plants are encouraged to participate more in the downward than in the upward aFRR market. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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8. Testing Optomechanical Microwave Oscillators for SATCOM Application.
- Author
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Mercade, Laura, Rico, Eloy, Garnica, Jesus Ruiz, Gomez, Juan Carlos, Griol, Amadeu, Piqueras, Miguel A., Martinez, Alejandro, and Duarte, Vanessa C.
- Abstract
The realization of photonic microwave oscillators using optomechanical cavities has recently become a reality. By pumping the cavity with a blue-detuned laser, the so-called phonon lasing regime - in which a mechanical resonance is amplified beyond losses - can be reached and the input signal gets modulated by highly-coherent tones at integer multiples of the mechanical resonance. Implementing optomechanical cavities on released films with high index of refraction can lead to optical modes at telecom wavelengths and mechanical resonances in the GHz scale, resulting in highly-stable signals in the microwave domain upon photodetection. Owing to the extreme compactness of such cavities, application in satellite communications (SATCOM) seems highly appropriate, but no experiments have been reported so far. In this paper, an optomechanical microwave oscillator (OMO) built on a micron-scale silicon optomechanical crystal cavity is characterized and tested in a real SATCOM testbed. Using a blue-detuned laser, the OMO is driven into a phonon lasing state where multiple harmonics are generated, reaching tones up to 20 GHz. Under this regime, its practical applicability, remarkably addressing its performance as a photonic local oscillator, has been validated. The results, in addition with the advantages of extreme compactness and silicon-technology compatibility, make OMOs very promising candidates to build ultra-low weight photonics-based microwave oscillators for SATCOM applications. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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9. 3GPP Rel-17 Extensions for 5G Media Delivery.
- Author
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Rico-Alvarino, Alberto, Bouazizi, Imed, Griot, Miguel, Kadiri, Prasad, Liu, Le, and Stockhammer, Thomas
- Subjects
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5G networks , *STREAMING media , *EDGE computing , *RADIO broadcasting , *DIGITAL media , *MULTICASTING (Computer networks) - Abstract
This paper provides a summary of media distribution in the 3GPP 5G System. We provide a status overview on the basics of 5G and in particular the Release 16 technologies on 5G Media Streaming and 5G Broadcast. Particular focus in this document are the recent Release-17 activities including extensions to 5G Media Streaming and 5G Broadcast. On the former, for example the integration of edge computing into media streaming is a major focus. On the latter, 5G Broadcast is extended to support co-existence of the technology with other broadcast technologies in the UHF band. A new set of functionalities is developed under the 5G Multicast–Broadcast Services (5MBS) umbrella work item. This includes new user service and system architecture functions to support broadcast and multicast throughout the 5G system. Particular focus in this paper are the radio layer and physical layer extensions to support point-to-multipoint delivery on top of New Radio (NR). We also touch briefly on the relevance of the 5G media distribution for third party ecosystems and industry with special focus on collaboration of media verticals and the 5G ecosystem. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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10. Basic Aspects in the Application of QCMs as Sensors: A Tutorial.
- Author
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Murrieta-Rico, Fabian N., Petranovskii, Vitalii, Galvan, Donald Homero, Antunez-Garcia, Joel, Sergiyenko, Oleg, Lindner, Lars, Rivas-Lopez, Moises, Grishin, Maxim, and Sarvadii, Sergey
- Abstract
Quartz crystal microbalances (QCMs) are devices that have been proven to function as sensors for detecting specific chemical species; this usually requires that the QCM is modified with a material that is capable to interact with the desired compound. Zeolites are an example of materials used as sensitive layer. This due to their capacity for selective adsorption and large surface area; moreover, they can grow directly on the QCM surface. After, the interaction between sensitive layer and analyte, there is a mass change on the QCM surface, which induces a frequency shift in the frequency generated by the QCM. However, the application of QCMs requires that some factors are considered, such as QCM functioning, wiring and surface functionalization. Even when there are commercial devices for QCM operation, a literature revision shows that some concepts are not understood, or some misconceptions are observed. In this work, the basics of QCM are discussed, from principles of operation to an application where a QCM was functionalized to work as sensor for water vapor. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
11. 360 nW gate-driven ultra-low voltage CMOS linear transconductor with 1 MHz bandwidth and wide input range
- Author
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Ramon G. Carvajal, Jaime Ramirez-Angulo, Antonio J. Lopez-Martin, Hector Daniel Rico-Aniles, Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación, Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Cities, and Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko, Elektroniko eta Telekomunikazio Saila
- Subjects
Total harmonic distortion ,Materials science ,Spurious-free dynamic range ,business.industry ,020208 electrical & electronic engineering ,Bandwidth (signal processing) ,Electrical engineering ,Biasing ,Hardware_PERFORMANCEANDRELIABILITY ,02 engineering and technology ,Linear operational transconductance amplifier ,Chip ,Capacitance ,020202 computer hardware & architecture ,Low voltage ,CMOS ,Low-power ,Hardware_INTEGRATEDCIRCUITS ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering ,Analog integrated circuits ,business - Abstract
A low voltage linear transconductor is introduced. The circuit is a pseudo differential architecture that operates with ±0.2V supplies and uses 900nA total biasing current. It employs a floating battery technique to achieve low voltage operation. The transconductor has a 1MHz bandwidth. It exhibits a SNR = 72dB, SFDR = 42dB and THD = 0.83% for a 100mVpp 10kHz sinusoidal input signal. Moreover, stability is not affected by the capacitance of the signal source. The circuit has been validated with a prototype chip fabricated in a 130nm CMOS technology. This work was supported in part by the Agencia Estatal de Investigacion/Fondo Europeo de Desarrollo Regional under Grant TEC2016-80396-C2. The work of Hector D. Rico-Aniles was supported by the Mexican Consejo Nacional de Ciencia y Tecnologia for the through an Academic Scholarship under Grant 408946.
- Published
- 2020
12. Speed control of a magnetic accelerator using adaptive control techniques.
- Author
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Blanco Rico, Javier, Al-Hadithi, Basil Mohammed, and Gonzalez Herranz, Roberto
- Abstract
Advanced control algorithms are of great interest in control engineering, they make it possible to guarantee the correct operation of complex systems and improve their performance under adverse operating conditions, thanks to negative output feedback. In this work, two adaptive control algorithms are shown: controllers based on Gain Scheduling and Direct Self-Tuning Regulators, using them to control the velocity of an electromagnetic accelerator and comparing their results with those obtained by a classic PID regulator when the system is operated under adverse operating conditions (setpoint changes, load changes and noise resistance). lt shows how this type of regulators can exceed the performance of classical control algorithms, making them a very attractive alternative for digital systems based on microcontrollers, whose high processing capacity allows them to be easily implemented in a wide variety of processes, including nonlinear dynamical systems. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
13. Comparison of High Performance Parallel Implementations of TLBO and Jaya Optimization Methods on Manycore GPU
- Author
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Higinio Mora-Mora, Hector Migallon-Gomis, Ravipudi Venkata Rao, Antonio Jimeno-Morenilla, Jose-Luis Sanchez-Romero, Hector Rico-Garcia, Universidad de Alicante. Departamento de Tecnología Informática y Computación, UniCAD: Grupo de investigación en CAD/CAM/CAE de la Universidad de Alicante, and Informática Industrial y Redes de Computadores
- Subjects
Optimization ,Optimization problem ,General Computer Science ,Computer science ,0211 other engineering and technologies ,Parallel algorithm ,GPU ,CUDA ,02 engineering and technology ,Parallel computing ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Implementation ,Jaya ,021106 design practice & management ,parallelism ,General Engineering ,Parallelism ,Optimization methods ,TLBO ,020201 artificial intelligence & image processing ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,optimization ,lcsh:TK1-9971 ,Arquitectura y Tecnología de Computadores - Abstract
The utilization of optimization algorithms within engineering problems has had a major rise in recent years, which has led to the proliferation of a large number of new algorithms to solve optimization problems. In addition, the emergence of new parallelization techniques applicable to these algorithms to improve their convergence time has made it a subject of study by many authors. Recently, two optimization algorithms have been developed: Teaching-Learning Based Optimization and Jaya. One of the main advantages of both algorithms over other optimization methods is that the former do not need to adjust specific parameters for the particular problem to which they are applied. In this paper, the parallel implementations of Teaching-Learning Based Optimization and Jaya are compared. The parallelization of both algorithms is performed using manycore GPU techniques. Different scenarios will be created involving functions frequently applied to the evaluation of optimization algorithms. Results will make it possible to compare both parallel algorithms with regard to the number of iterations and the time needed to perform them so as to obtain a predefined error level. The GPU resources occupation in each case will also be analyzed. This work was supported in part by the Spanish Ministry of Economy and Competitiveness under Grant TIN2017-89266-R, in part by FEDER funds (MINECO/FEDER/UE), and in part by the Spanish Ministry of Science, Innovation, and Universities co-financed by FEDER funds under Grant RTI2018-098156-B-C54.
- Published
- 2019
14. Practical Method of Improving the Teamwork of Engineering Students Using Team Contracts to Minimize Conflict Situations
- Author
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Antonio Jimeno-Morenilla, Jorge Azorin-Lopez, María Luisa Pertegal-Felices, Andres Fuster-Guillo, Maria Luisa Rico-Soliveres, Universidad de Alicante. Departamento de Psicología Evolutiva y Didáctica, Universidad de Alicante. Departamento de Tecnología Informática y Computación, Investigación en Inteligencias, Competencia Social y Educación (SOCEDU), Habilidades, Competencias e Instrucción, Informática Industrial y Redes de Computadores, Tecnología Informática Avanzada - Seguridad Legal, and UniCAD: Grupo de investigación en CAD/CAM/CAE de la Universidad de Alicante
- Subjects
Process management ,General Computer Science ,Didactics of engineering ,media_common.quotation_subject ,team work ,conflict management ,Academic performance ,03 medical and health sciences ,0302 clinical medicine ,Didáctica y Organización Escolar ,0502 economics and business ,ComputingMilieux_COMPUTERSANDEDUCATION ,General Materials Science ,030212 general & internal medicine ,Conflict management ,Team work ,media_common ,Teamwork ,business.industry ,05 social sciences ,academic performance ,General Engineering ,Management styles ,Information technology ,Work (electrical) ,Communication in small groups ,Task analysis ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Psychology ,business ,Working group ,lcsh:TK1-9971 ,Arquitectura y Tecnología de Computadores ,050203 business & management - Abstract
Educational models are incorporating methodologies to train students in teamwork skills in response to companies’ information technology (IT) requirements. Conflict management is the key to effective teamwork. This paper proposes a method to improve students’ organization, teamwork, and conflict management skills. This method consists of brief training on leadership and management styles, with minimal extra work, followed by the signing of team contracts that outline group rules, and promoting the assumption of responsibilities. The experimental results showed that this method reduced conflict rates, improved group communication and indirectly improved satisfaction, and responsibility and motivation in work groups. Consequently, students’ overall academic performance improved, both as a group and as individuals.
- Published
- 2019
15. H_infinity Observer-Based Control for Uncertain Fuzzy Systems with Application of the Quadruple-Tank Process
- Author
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Naami, Ghali, Ouahi, Mohamed, Rabhi, Abdelhamid, and Tadeo Rico, Fernando Juan
- Subjects
Ingeniería - Abstract
Producción Científica, This paper considers the problem of designing an H∞ observer-based controllers for continuous nonlinear systems presented by Takagi–Sugeno (T–S) model with the presence of parameter uncertainties and external disturbance. Some change of variables has been developed to linearize the bilinear terms. As a consequence, the bilinear problem conditions are converted into a set of Linear Matrix Inequalities (LMIs). Sufficient conditions f or design t he observer and controller gains are deduced in terms of LMIs conditions which can be practically solved in single step. The four-tank process application is used to show the effectiveness of the proposed method, revealing a better compromise between the simplicity and the conservatism of design method, outperforming in respect to previous approaches., Funded by Junta de Castilla y León EU-FEDER (CLU-2017-09, VA232P18, UIC225)
- Published
- 2019
16. Distributed Deep Learning for Remote Sensing Data Interpretation.
- Author
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Haut, Juan M., Paoletti, Mercedes E., Moreno-Alvarez, Sergio, Plaza, Javier, Rico-Gallego, Juan-Antonio, and Plaza, Antonio
- Subjects
REMOTE sensing ,ONLINE education ,DEEP learning ,SPATIAL resolution ,GRID computing ,COMPUTER systems - Abstract
As a newly emerging technology, deep learning (DL) is a very promising field in big data applications. Remote sensing often involves huge data volumes obtained daily by numerous in-orbit satellites. This makes it a perfect target area for data-driven applications. Nowadays, technological advances in terms of software and hardware have a noticeable impact on Earth observation applications, more specifically in remote sensing techniques and procedures, allowing for the acquisition of data sets with greater quality at higher acquisition ratios. This results in the collection of huge amounts of remotely sensed data, characterized by their large spatial resolution (in terms of the number of pixels per scene), and very high spectral dimensionality, with hundreds or even thousands of spectral bands. As a result, remote sensing instruments on spaceborne and airborne platforms are now generating data cubes with extremely high dimensionality, imposing several restrictions in terms of both processing runtimes and storage capacity. In this article, we provide a comprehensive review of the state of the art in DL for remote sensing data interpretation, analyzing the strengths and weaknesses of the most widely used techniques in the literature, as well as an exhaustive description of their parallel and distributed implementations (with a particular focus on those conducted using cloud computing systems). We also provide quantitative results, offering an assessment of a DL technique in a specific case study (source code available: https://github.com/mhaut/cloud-dnn-HSI). This article concludes with some remarks and hints about future challenges in the application of DL techniques to distributed remote sensing data interpretation problems. We emphasize the role of the cloud in providing a powerful architecture that is now able to manage vast amounts of remotely sensed data due to its implementation simplicity, low cost, and high efficiency compared to other parallel and distributed architectures, such as grid computing or dedicated clusters. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
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17. A Novel Long-Reach Robot with Propulsion Through Water-Jet
- Author
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Gen Endo, Shigeo Hirose, Jose A. Silva Rico, Koichi Suzumori, and Hiroya Yamada
- Subjects
0209 industrial biotechnology ,Robot kinematics ,Computer science ,Degrees of freedom ,Snake-arm robot ,02 engineering and technology ,Bang-bang robot ,Propulsion ,Robot end effector ,law.invention ,020901 industrial engineering & automation ,law ,Articulated robot ,0202 electrical engineering, electronic engineering, information engineering ,Robot ,020201 artificial intelligence & image processing ,Simulation - Abstract
Long-reach robots offer good performance developing tasks in areas where the access is difficult or dangerous. Due to their multiple degrees of freedom, they are able to adapt easily to different environments. These robots base their locomotion to two different elements: tendon cables or fluid pressure elements. Normally these robots are divided in sections and each section has its independent degrees of freedom. Therefore, if the length of the robot increases, the number of sections increases as well. This also means an increment in the diameter for each section and a more complex control for the whole system. In this paper we introduce the concept of a novel water-jet long-reach robot, which allows increasing the length of the robot without affect its number of elements, control complexity and diameter. Due to its characteristics, it is possible to use this robot in different environments, confined or opened spaces. We test the performance of the first prototype in different scenarios in order to validate our concept.
- Published
- 2016
18. Facile Zinc Oxide Nanoparticle Green Synthesis Using Citrus reticulata Extract for Use in Optoelectronic Sensors.
- Author
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Luque, Priscy A., Nava, Osvaldo, Romo-Cardenas, Gerardo, Nieto-Hipolito, Juan Ivan, Vilchis-Nestor, Alfredo R., Valdez, Karla, de Dios Sanchez-Lopez, Juan, and Murrieta-Rico, Fabian N.
- Abstract
Waveguides are structures that can be used as sensors. After adding a cladding of a proper material, waveguides can be used for detecting specific chemical species. In particular, high band gap oxide semiconductors can be used as cladding for optical waveguides. In these materials, the synthesis processes are expensive or contaminant generators, for this reason novel approaches are required. This work addresses a simple synthesis method for the preparation of zinc oxide nanoparticles using Citrus reticulata extract. XRD presented only the wurtzite structure for the zinc oxide nanoparticles, while TEM showed size and shape homogeneity. The ZnO band gap was lower than commercial ZnO. Using a computer simulation and frequency dependent electrical characteristics, a waveguide model was tested. The resulting characteristics presented great parameters for using in optoelectronic sensors. Resulting ZnO NPs have negligible amounts of green matter afterwards, making this a non-toxic method. As a result, herein presented synthesis is a promising method for developing new optoelectronic sensors. These devices can be used for automatic detection of chemical species by automated systems. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
19. Frequency Shifts Estimation for Sensors Based on Optoelectronic Oscillators.
- Author
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Murrieta-Rico, Fabian N., Petranovskii, Vitalii, Galvan, Donald H., Antunez-Garcia, Joel, Yocupicio-Gaxiola, Rosario I., and Tyrsa, Vera
- Abstract
Optoelectronic oscillators (OEO) based sensors generate low-phase-noise signals, whose frequency is in the order of GHz. These sensors are highly sensitive to parameters like strain, transverse load or temperature. Particularly, an OEO transforms a wavelength change into a frequency shift in the order of MHz. This creates a particular challenge for measuring instruments used in OEO, where novel mathematical methods for advanced processing of their signals is required. The principle of rational approximations is a frequency measurement technique based on number theory, with the fundamental property of measurement time dependent on the frequency value of input signals. This means that if the frequency of input signals increases, less time for measuring is required. This is quite useful for time-frequency measurement systems, where if more accuracy is needed, more time is required for measuring. This paper shows how the principle of rational approximations can be used in OEO based sensors, this allows to estimate the frequency shifts in a bandwidth from 6 to 600 MHz, with a maximum uncertainty of 2.5 MHz. Such an accuracy is achieved in a time as short as 0.2 μs. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
20. 360 nW Gate-Driven Ultra-Low Voltage CMOS Linear Transconductor With 1 MHz Bandwidth and Wide Input Range.
- Author
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Rico-Aniles, Hector D., Ramirez-Angulo, Jaime, Lopez-Martin, Antonio J., and Carvajal, Ramon G.
- Abstract
A low voltage linear transconductor is introduced. The circuit is a pseudo differential architecture that operates with ±0.2V supplies and uses 900nA total biasing current. It employs a floating battery technique to achieve low voltage operation. The transconductor has a 1MHz bandwidth. It exhibits a SNR = 72dB, SFDR = 42dB and THD = 0.83% for a 100mVpp 10kHz sinusoidal input signal. Moreover, stability is not affected by the capacitance of the signal source. The circuit has been validated with a prototype chip fabricated in a 130nm CMOS technology. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
21. On the Combination of Coevolution and Novelty Search
- Author
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Rico Möckel, Fabian Franz, Jan Paredis, RS: FSE DACS, and DKE Scientific staff
- Subjects
Traverse ,Linear programming ,business.industry ,05 social sciences ,Novelty ,050301 education ,02 engineering and technology ,Measure (mathematics) ,LOADED INVERTED PENDULUM ,Proof of concept ,Genetic algorithm ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,OPTIMIZATION ,0503 education ,Coevolution ,Premature convergence - Abstract
This paper develops a new method for coevolution, named Fitness-Diversity Driven Coevolution (FDDC). This approach builds on existing methods by a combination of a (predator-prey) Coevolutionary Genetic Algorithm (CGA) and novelty search. The innovation lies in replacing the absolute novelty measure with a relative one, called Fitness-Diversity. FDDC overcomes problems common in both CGAs (premature convergence and unbalanced coevolution) and in novelty search (construction of an archive). As a proof of principle, Spring Loaded Inverted Pendulums (SLIPs) are coevolved with 2D-terrains the SLIPs must learn to traverse.
- Published
- 2017
22. Optimal Dynamic Harmonic Extraction and Suppression in Power Conditioning Applications.
- Author
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Ornelas-Tellez, Fernando, Rico-Melgoza, J. Jesus, Morfin-Magana, Rodrigo, and Ramos-Paz, Serafin
- Subjects
- *
ELECTRIC power filters , *FOURIER series , *HARMONIC analysis (Mathematics) , *TIME-varying systems , *INDUSTRIAL applications , *TRACKING control systems - Abstract
Power quality in electrical systems is a basic requirement that should be guaranteed. Nonetheless, the increase of power-electronics-based applications and other nonlinear loads have induced harmonic distortion degrading the power quality; therefore, effective methods to measure and suppress such distortion need to be developed. The main contributions of this article are the following: the development of a novel fast-converging optimal estimator to determine online the harmonic components of a time-varying signal, which can be used for analysis and control purposes; the usage of the estimator to generate reference signals for an optimal control system in order to suppress the harmonics components; and the experimental validation of the proposed methodology as a feasible solution for industrial applications. The proposal considers practical assumptions such as the signal to be analyzed is corrupted with noise and contains time-varying harmonics (i.e., no steady-state condition is assumed). As an application of the harmonic estimator, the following two experimental tests are carried out: first, the optimal determination of the harmonic components of the current waveform in a nonlinear load, and second, the usage of harmonics information to mitigate them through of an active power filter, which is controlled by using an optimal trajectory tracking control scheme. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
23. Impulse Response Modeling of Underwater Optical Scattering Channels for Wireless Communication.
- Author
-
Boluda-Ruiz, Ruben, Rico-Pinazo, Pedro, Castillo-Vazquez, Beatriz, Garcia-Zambrana, Antonio, and Qaraqe, Khalid
- Abstract
Despite the fact that underwater optical wireless communication (UOWC) systems are able to provide high-data rate links with high security, the performance of these systems presents several limitations related to the maximum achievable distance due to attenuation, and scattering effects. Hence, quantifying the signal attenuation, and the time-dispersion produced by such effects represents a crucial work in channel modeling. Motivated by this, we present, for the first time, a novel, and unified impulse response modeling of underwater optical scattering channels based on the superposition of one impulsive component, and one dispersive component with two degrees of freedom. We provide analytical results for channel path loss, and channel impulse response (CIR) which are validated through Monte-Carlo simulations based on photon-tracing for clear ocean, coastal, and harbor waters. In order to provide a physical insight, the developed CIR is used to compute the root-mean-square (RMS) delay spread as a function of distance, and type of water, as well as to analyze in greater detail the impact of inter-symbol interference (ISI) on the data rate. These outcomes can be used for high-speed systems design, and optimization. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
24. Cellular Terrestrial Broadcast—Physical Layer Evolution From 3GPP Release 9 to Release 16.
- Author
-
Sengupta, Ayan, Rico Alvarino, Alberto, Catovic, Amer, and Casaccia, Lorenzo
- Subjects
- *
SINGLE frequency network , *ORTHOGONAL frequency division multiplexing , *INTER-carrier interference , *BROADCAST channels , *BROADCASTING industry - Abstract
We present the latest developments in the physical layer evolution for the transmission of Multimedia Broadcast Multicast Service (MBMS) over fifth generation (5G) cellular networks. We first provide an overview of how the MBMS physical layer has evolved during the initial releases of the Third Generation Partnership Project (3GPP) specifications and provide motivations and insights for key developments that have helped mature MBMS into a competitive broadcasting solution. We provide an overview of dedicated MBMS carriers for Multimedia Broadcast multicast service Single Frequency Network (MBSFN) transmission as well as Orthogonal Frequency Division Multiplexing (OFDM) numerologies with longer cyclic prefixes to support MBSFN transmission over large geographical areas with large distances between cooperating cell sites. Next, we describe the most recent enhancements to the MBMS physical layer, addressing advanced use cases in the recently completed release of the 3GPP specifications (Release 16). First, we describe the physical layer design for enabling MBSFN-based MBMS services for rooftop receivers with inter-site distances between cooperating cell sites as large as 125 km. In this realm, we demonstrate the need for an OFDM numerology with a 300-microsecond cyclic prefix to communicate effectively over channels with very large delay spreads. Next, we explain how support for high mobility up to 250 kmph was added to the standards by using an OFDM numerology that gracefully trades off inter-symbol interference due to large delay spreads and inter-carrier interference due to large doppler spreads to achieve better performance than existing numerologies at high speeds. Finally, we describe the enhancements that were made to the Cell Acquisition Subframe (CAS)—specifically, the introduction of larger aggregation levels for the Physical Downlink Control Channel (PDCCH) and the support of Physical Broadcast Channel (PBCH) repetitions—that significantly increase the coverage for the control and system information associated with MBMS that are carried by these subframes. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
25. Fast Constrained Generalized Predictive Control with ADMM Embedded in an FPGA.
- Author
-
Peccin, Vinicius Berndsen, Lima, Daniel Martins, Flesch, Rodolfo Cesar Costa, and Normey-Rico, Julio Elias
- Abstract
Constrained model predictive control (MPC) usually requires the computation of a quadratic programming problem (QP) at each sampling instant. This is computationally expensive and becomes a limitation to embed and use MPC in plants with fast sampling rates. Several special solvers for MPC problems have been proposed in the last years, but most of them focus on state-space formulations, which are very popular in academia. This paper proposes a solution based on alternated direction method of multipliers, tailored for embedded systems and applied to generalized predictive control (GPC), which is a very popular formulation in industry. Implementations issues of parallel computation are discussed in order to accelerate the time required for the operations. The implementation in an FPGA proved to be quite fast, with the observed worst case execution time of 11,54 µs for the presented example. These results contribute to embed GPC applications in processes that are typically controlled by classical controllers because of their fast dynamics. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
26. Cosine Phase Droop Control (CPDC) for the Dual-Active Bridge in Lighting Smart Grids Applications
- Author
-
Rico Secades, Manuel, Calleja Rodríguez, Antonio Javier, García Llera, Daniel, Huerta Medina, Nelo, and Cardesín Miranda, Jesús
- Subjects
Energy storage ,Pover electronics ,Smart grid ,DAB converter - Abstract
2016 IEEE International Conference on Industrial Technology (ICIT 2016). Mach 14-17, 2016. Taipei, Taiwan, Lighting Systems are suffering and important evolution with the introduction of LED lighting systems with new strategies of energy savings, incorporation of renewable energy sources and optionally a bidirectional interconnection with the mains (AC grid or DC interconnection bus). Lighting Systems are moving to Lighting Smart Grids and step by step integrating in Smart Cities strategies. In this context design of modular and efficient energy storage/recovery systems are gaining importance looking for future applications and new services. Thus, this work evaluates the use of Dual-Active Bridge (DAB) as energy storage/recovery system in the context of a Lighting Smart Grid. A complete study of this converters, design procedure in order to operate over the Optimal Line (no reactive power) and two simplified control strategy (Linear Phase Droop Control – LPDC and Cosine Phase Droop Control -CPDC) have been proposed, developing in this way a robust design with modular and self-equalization capability. Designs have been simulated and tested over a laboratory Lighting Smart Grid obtaining satisfactory results, Partially supported by: Ministry of Economy and Competitiveness of the Government of Spain (MINECO) Government of the Principado de Asturias (GPA) European Union trough the European Regional Development Fund (ERFD) Research Grants: ENE2013-41491-R (LITCITY Project) GRUPIN14-076
- Published
- 2016
27. Complementarity Model of a Photovoltaic Power Electronic System With Model Predictive Control.
- Author
-
Morfin-Magana, Rodrigo, Rico-Melgoza, J. Jesus, Ornelas-Tellez, Fernando, and Vasca, Francesco
- Subjects
- *
PHOTOVOLTAIC power systems , *PREDICTIVE control systems , *LINEAR complementarity problem , *SOLAR cells , *ELECTRIC network topology , *SOLAR oscillations , *ELECTRONIC systems - Abstract
The modeling and control problem for a grid-connected photovoltaic (PV) power electronic system, which includes a dc/dc boost converter, an inverter and a filter are considered. A linear complementarity (LC) dynamic model of the PV system allows the design of a model predictive controller (MPC). Dynamic models of the subsystems are obtained and merged in order to represent the whole PV system in a compact and comprehensive LC model, which is valid for all operating modes of power converters and PV cells involved in the energy conversion process. A finite-control-set MPC problem is formulated as a mixed-integer quadratic program subject to the dynamic LC model and pulse width modulators. The minimization of an objective function aimed at tracking dc voltage and grid current references provides directly the commands for the switches of the boost converter and inverter. Numerical results show the effectiveness of the proposed strategy for maximum power point tracking and synchronization to the grid under dynamic scenarios characterized by variations of the solar irradiance. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
28. Enabling Situational Awareness in Millimeter Wave Massive MIMO Systems.
- Author
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Mendrzik, Rico, Meyer, Florian, Bauch, Gerhard, and Win, Moe Z.
- Abstract
Situational awareness in wireless networks refers to the availability of position information on transmitters and receivers as well as information on their propagation environments to aid wireless communications. In millimeter wave massive multiple-input multiple-output communication systems, situational awareness can significantly improve the quality and robustness of communications. In this paper, we establish a model that describes the statistical dependencies between channel state information and the position, orientation, and clock offset of a user equipment along with the locations of features in the propagation environment. Based on this model, we introduce COMPAS (COncurrent Mapping, Positioning, And Synchronization); an inference engine that can provide accurate and reliable situational awareness in millimeter wave massive multiple-input multiple-output communication systems. Numerical results show that COMPAS is able to infer the positions of an unknown and time-varying number of features in the propagation environment and, at the same time, estimate the position, orientation, and clock offset of a user equipment. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
29. Multi-Gigabit over Copper Access Networks: Architectural Evolution and Techno-Economic Analysis.
- Author
-
Lamparter, Oliver, Fang, Liming, Bischoff, Jean-Claude, Reitmann, Marcel, Schwendener, Rico, Zasowski, Thomas, and Zhang, Xiaofeng
- Subjects
OPTICAL fiber subscriber loops ,OPTICAL fiber networks ,BIOLOGICAL evolution - Abstract
In this article we present options for the evolution from G.fast-based access networks to multi-gigabit access networks with a focus on solutions based on G.mgfast. The corresponding evolutions of the network architecture as well as a framework for the cost modeling are shown. The starting point for future architecture evolutions is the ongoing wireline access rollout in Switzerland. Based on this, different evolution steps are possible. These architectures are described and compared to each other based on the cost modeling framework, which shows that for certain building sizes different options are cost optimal. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
30. Sampled Simulation of Task-Based Programs.
- Author
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Grass, Thomas, Carlson, Trevor E., Rico, Alejandro, Ceballos, German, Ayguade, Eduard, Casas, Marc, and Moreto, Miquel
- Subjects
STATISTICAL sampling ,SCHEDULING ,COMPUTER simulation - Abstract
Sampled simulation is a mature technique for reducing simulation time of single-threaded programs. Nevertheless, current sampling techniques do not take advantage of other execution models, like task-based execution, to provide both more accurate and faster simulation. Recent multi-threaded sampling techniques assume that the workload assigned to each thread does not change across multiple executions of a program. This assumption does not hold for dynamically scheduled task-based programming models. Task-based programming models allow the programmer to specify program segments as tasks which are instantiated many times and scheduled dynamically to available threads. Due to variation in scheduling decisions, two consecutive executions on the same machine typically result in different instruction streams processed by each thread. In this paper, we propose TaskPoint, a sampled simulation technique for dynamically scheduled task-based programs. We leverage task instances as sampling units and simulate only a fraction of all task instances in detail. Between detailed simulation intervals, we employ a novel fast-forwarding mechanism for dynamically scheduled programs. We evaluate different automatic techniques for clustering task instances and show that DBSCAN clustering combined with analytical performance modeling provides the best trade-off of simulation speed and accuracy. TaskPoint is the first technique combining sampled simulation and analytical modeling and provides a new way to trade off simulation speed and accuracy. Compared to detailed simulation, TaskPoint accelerates architectural simulation with 8 simulated threads by an average factor of 220x at an average error of 0.5 percent and a maximum error of 7.9 percent. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
31. Harnessing NLOS Components for Position and Orientation Estimation in 5G Millimeter Wave MIMO.
- Author
-
Mendrzik, Rico, Wymeersch, Henk, Bauch, Gerhard, and Abu-Shaban, Zohair
- Abstract
In the past, NLOS propagation was proven to be a source of distortion for radio-based positioning systems due to the lack of temporal and spatial resolution of previous cellular systems. Hence, every NLOS component was perceived as a perturbation for localization. Even though 5G is not yet standardized, a strong proposal, which has the potential to overcome the problem of limited temporal and spatial resolution, is the massive MIMO millimeter wave technology. We reconsider the role of NLOS components for position and orientation estimation in 5G millimeter wave MIMO systems. Our analysis is based on the concept of Fisher information. We show that for sufficiently high temporal and spatial resolution, NLOS components always provide position and orientation information that consequently increase position and orientation estimation accuracy. In addition, we show that the information gain of NLOS components depends on the actual location of the reflector or scatter. Our numerical examples suggest that the NLOS components are most informative about the position and orientation of a mobile terminal when the corresponding reflectors or scatterers are illuminated with narrow beams. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
32. A Method for Designing Decoupled Filtered Smith Predictor for Square MIMO Systems With Multiple Time Delays.
- Author
-
Giraldo, Sergio Andres Castano, Flesch, Rodolfo Cesar Costa, Normey-Rico, Julio Elias, and Sejas, Miriam Zareth Parra
- Subjects
MIMO systems ,PREDICTIVE control systems ,AUTOMATIC control systems ,PROCESS control systems ,TIME delay systems - Abstract
The control of multi-input and multioutput (MIMO) systems with multiple time delays is difficult to be done using classical control techniques, especially if the process is not open-loop stable. Model predictive control (MPC) is the natural choice in industry for this case, but its tuning and implementation are not trivial and, in general, cannot be done in the low level of the process control system. This paper aims to show a method to design MIMO filtered Smith predictors for $n \times n$ processes with multiple time delays based on the decentralized direct decoupling structure. This method allows an easy tuning of the primary controller by simplifying the problem to multiple single loops if the realizability conditions presented in the paper are met. The proposed method can also be used in MPC to remove the interactions between process variables. The effectiveness of the method is illustrated through two case studies. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
33. Micro-Coaxial Slot Antenna to Treat Bone Tumors by Thermal Ablation: Theoretical and Experimental Evaluation.
- Author
-
Trujillo Romero, Citlalli J., Rico Martinez, Genaro, Leija Salas, Lorenzo, Vera Hernandez, Arturo, and Gutierrez Martinez, Josefina
- Abstract
According to the American Cancer Society the number of patients with bone tumors is growing up. The extremities of the long bones are the most affected by this disease. The common treatments are surgery (amputation), radio and chemotherapy. However, their high cost and side-effects show the necessity of new treatments. These should not only eradicate the tumor but also offer a major control over the treated area. In this sense, the microwave ablation plays an important role. A micro-coaxial slot antenna to generated thermal ablation in bone tumors is proposed. The antenna was modeled, constructed and evaluated in pig tissue. A parametric study to evaluate the effect of the blood perfusion in the thermal distributions was done. Values of bone blood perfusion among 30-1171 ml/min/kg were included in this study. Subsequently, temperature profiles and thermal distributions generated in pig bones were obtained and compared with those obtained in the model. This evaluation shows a high level of concordance; in the best cases, a difference between simulation and measurement of 0.13°C-3.83°C and 0.08°C-0.41°C was found. This study corroborates the efficiency of the models to predict the antenna behavior and the efficiency of the proposed antenna to generated thermal ablation in bone tissue. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
34. A testbed for developing, simulating and experimenting multipath aggregation algorithms
- Author
-
Pedro Fonseca, Fabio Rico, and Amaro de Sousa
- Subjects
business.industry ,Wireless network ,Computer science ,Distributed computing ,Testbed ,Wireless ,Throughput ,business ,Multipath TCP ,Algorithm ,Multipath propagation ,Computer network - Abstract
Today, electronic devices may have multiple possibilities to communicate, either through wired or wireless interfaces. Despite this diversity, devices still fail to fully use the available resources by not simultaneously using multiple channels to their full extent. This is especially true in wireless channels where the efficient aggregation of multiple channels has proved to be a difficult task, as shown in recent simulation based works. In this Work In Progress paper, we present a testbed suitable to the evaluation of aggregation algorithms under real network environments. The proposed testbed aims to simulate and experiment both existing and new aggregation algorithms, optimized for wireless heterogeneous communication channels that can be deployed in industrial environments. In order to illustrate the merits of the proposed testbed, we also describe its use in the performance assessment of two aggregation algorithms: Linux Bonding Driver and Multipath TCP.
- Published
- 2014
35. Temporal Analysis of Cardiovascular and Respiratory Complexity by Multiscale Entropy Based on Symbolic Dynamics.
- Author
-
Reulecke, Sina, Charleston-Villalobos, Sonia, Voss, Andreas, Gonzalez-Camarena, Ramon, Gonzalez-Hermosillo, Jesus A., Gaitan-Gonzalez, Mercedes J., Hernandez-Pacheco, Guadalupe, Schroeder, Rico, and Aljama-Corrales, Tomas
- Subjects
CARDIOVASCULAR diseases ,QUANTITATIVE research ,RESPIRATORY diseases ,ENTROPY ,SYMBOLIC dynamics ,ORTHOSTATIC intolerance ,PATIENTS - Abstract
The effect of an orthostatic stress on cardiovascular and respiratory complexity was investigated to detect impaired autonomic regulation in patients with vasovagal syncope (VVS). A total of 16 female patients and 12 age-matched healthy female subjects were enrolled in a passive 70° head-up tilt test. Also, 12 age-matched healthy male subjects were enrolled to study gender differences. Analysis was performed dynamically using various short-term (5 min) windows shifted by 1 min as well as by 20 min of orthostatic phase (OP) to evaluate local and global complexity. Complexity was determined over multiple time scales by the established method of refined composite multiscale entropy (RCMSE) and by a new proposed method of multiscale entropy based on symbolic dynamics (MSE-SD). Concerning heart rate variability (HRV) during OP, both methods revealed the highest complexity for female controls followed by lower complexity in male controls (p < 0.01) and by the lowest complexity in female patients (p < 0.01). For blood pressure variability (BPV), no gender differences in controls were shown by any method. However, MSE-SD demonstrated highly significantly increased BPV complexity in patients during OP (p < 0.01 on 4 time-scales after 7 min, p < 0.001 on 5 time-scales after 11 min) while RCMSE did not reveal considerable differences (p < 0.05 on 2 time scales after 7 min). Respiratory complexity was further increased in patients primary shown by MSE-SD. Findings indicated impaired autonomic regulation in VVS patients characterized by predominantly increased BPV complexity accompanied with decreased HRV complexity. In addition, results suggested extending the concept of complexity loss with disease. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
36. Optimal and Robust Control in DC Microgrids.
- Author
-
Ornelas-Tellez, Fernando, Rico-Melgoza, J. Jesus, Espinosa-Juarez, Elisa, and Sanchez, Edgar N.
- Published
- 2018
- Full Text
- View/download PDF
37. Model-Based Estimation of the Communication Cost of Hybrid Data-Parallel Applications on Heterogeneous Clusters.
- Author
-
Rico-Gallego, Juan-Antonio, Lastovetsky, Alexey L., and Diaz-Martin, Juan-Carlos
- Subjects
- *
COMPUTER networks , *PERFORMANCE evaluation , *HYBRID computer simulation , *ALGORITHMS , *ESTIMATION theory , *CLUSTER analysis (Statistics) - Abstract
Heterogeneous systems composed of CPUs and accelerators sharing communication channels of different performance are getting mainstream in HPC but, at the same time, they show a complexity that makes it difficult to optimize the deployment of a data parallel application. Recent analytical tools such as Functional Performance Models, combined with advanced partitioning algorithms, manage to achieve a balanced configuration by distributing the workload unevenly, according to the performance of the different processing units. Unfortunately, such uneven distribution of the computation load leads to communication unbalances that, very often, render worthless the previous workload balancing efforts. Finding the optimal communication scheme without expensive testing on the executing platform requires an analytical approach to the estimation of the communication cost of different configurations of the application. With this goal in mind, we propose and discuss an extension of the $\tau$
-Lop communication performance model to cover heterogeneous architectures. In order to provide a quantitative assessment of this extended model, we conduct experiments with two representative computational kernels, the SUMMA algorithm and the 2D wave equation solver. The $\tau$ -Lop predictions are compared against the HLogGP model and the observed costs for a variety of configurations, hardware resources and problem sizes. [ABSTRACT FROM PUBLISHER]- Published
- 2017
- Full Text
- View/download PDF
38. Resolution improvement of accelerometers measurement for drones in agricultural applications.
- Author
-
Murrieta-Rico, Fabian N., Hernandez-Balbuena, Daniel, Rodriguez-Quinonez, Julio C., Petranovskii, Vitalii, Raymond-Herrera, Oscar, Gurko, Alexander G., Mercorelli, Paolo, Sergiyenko, Oleg, Lindner, Lars, Valdez-Salas, Benjamin, and Tyrsa, Vera
- Published
- 2016
- Full Text
- View/download PDF
39. UAV remote laser scanner improvement by continuous scanning using DC motors.
- Author
-
Lindner, Lars, Sergiyenko, Oleg, Rivas-Lopez, Moises, Valdez-Salas, Benjamin, Rodriguez-Quinonez, Julio C., Hernandez-Balbuena, Daniel, Flores-Fuentes, Wendy, Tyrsa, Vera, Misael Medina Barrera, Muerrieta-Rico, Fabian N., Mercorelli, Paolo, and Gurko, Alexander
- Published
- 2016
- Full Text
- View/download PDF
40. On spectrum occupancy measurements at 2.4 GHz ISM band for cognitive radio applications.
- Author
-
Cardenas-Juarez, Marco, Diaz-Ibarra, Miguel A., Pineda-Rico, Ulises, Arce, Armando, and Stevens-Navarro, Enrique
- Published
- 2016
- Full Text
- View/download PDF
41. Portable measurement system of vertical jump using an Inertial Measurement Unit and pressure sensors.
- Author
-
Garcia, M. Rico, Guzman, L.-J. Morantes, Valencia, J.-S. Botero, and Henao, V. Madrid
- Published
- 2016
- Full Text
- View/download PDF
42. Performance measurements for hypervisors on embedded ARM processors.
- Author
-
Toumassian, Sebouh, Werner, Rico, and Sikora, Axel
- Published
- 2016
- Full Text
- View/download PDF
43. A novel long-reach robot with propulsion through water-jet.
- Author
-
Rico, Jose A. Silva, Hirose, Shigeo, Yamada, Hiroya, Endo, Gen, and Suzumori, Koichi
- Published
- 2016
- Full Text
- View/download PDF
44. Proposal and basic experiments of a piping inspection system based on water-jet.
- Author
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Rico, Jose A. Silva, Hirose, Shigeo, Endo, Gen, Yamada, Hiroya, Tsuzuki, Nobuyoshi, and Kikura, Hiroshige
- Published
- 2016
- Full Text
- View/download PDF
45. Framework for data model to personalized health systems.
- Author
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Buitron, Edwar Javier Giron, Rios, Gineth Magaly Ceron, Olarte, Carolina Rico, and Gutierrez, Diego Mauricio Lopez
- Published
- 2016
- Full Text
- View/download PDF
46. Defining of a practical model for digital forensic analysis on Android device using a methodology post-mortem.
- Author
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Rueda, R. Johan Smith and Dewar Wilmer Rico, B.
- Published
- 2016
- Full Text
- View/download PDF
47. Potassium acrylate copolymer and agave fiber as improvers of stone substrates for greenhouse production.
- Author
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Dublan-Barragan, Brenda Sta., Rico-Garcia, Enrique, Ventura-Ramos, Eusebio, and Garcia-Trejo, Juan Fernando
- Published
- 2016
- Full Text
- View/download PDF
48. TaskPoint: Sampled simulation of task-based programs.
- Author
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Grass, Thomas, Rico, Alejandro, Casas, Marc, Moreto, Miquel, and Ayguade, Eduard
- Published
- 2016
- Full Text
- View/download PDF
49. Cosine Phase Droop Control (CPDC) for the Dual-Active Bridge in lighting smart grids applications.
- Author
-
Rico-Secades, Manuel, Calleja, Antonio, Llera, Daniel Garcia, Corominas, Emilio Lopez, Medina, Nelo Huerta, and Miranda, Jesus Cardesin
- Published
- 2016
- Full Text
- View/download PDF
50. Mixed-Integer-Quadratic-Programming based Predictive Control for hydrogen production using renewable energy.
- Author
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Serna, Alvaro, Tadeo, Fernando, and Normey-Rico, Julio E.
- Published
- 2016
- Full Text
- View/download PDF
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