23 results on '"Posadas-Yagüe, Juan-Luis"'
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2. Low-cost modular devices for on-road vehicle detection and characterisation
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Poza-Lujan, Jose-Luis, Uribe-Chavert, Pedro, and Posadas-Yagüe, Juan-Luis
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- 2023
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3. Assessing the Impact of Continuous Evaluation Strategies: Tradeoff between Student Performance and Instructor Effort
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Poza-Lujan, Jose-Luis, Calafate, Carlos T., Posadas-Yagüe, Juan-Luis, and Cano, Juan-Carlos
- Abstract
Current opinion on undergraduate studies has led to a reformulation of teaching methodologies to base them not just on learning, but also on skills and competencies. In this approach, the teaching/learning process should accomplish both knowledge assimilation and skill development. Previous works demonstrated that a strategy that uses continuous evaluation is able to meet both objectives. However, those studies did not evaluate and quantify the additional effort required to implement such strategies. This paper evaluates the additional instructor effort required when implementing continuous evaluation in a first-year Computer Fundamentals course in the Computer Engineering degree program at the Technical University of Valencia, Spain. The experiment quantifies how instructor workload increases under different continuous evaluation strategies and how this affects the overall student grade. Both the "standard" continuous evaluation method and the intensive continuous evaluation method are analyzed, the latter being a proposal that builds upon the standard method by increasing the number of tests and examinations. The results obtained reveal that continuous evaluation improves student grades but that intensive continuous evaluation is liable to generate an excessive instructor overload without having a significant impact on student scores.
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- 2016
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4. Distributed Architecture to Integrate Sensor Information: Object Recognition for Smart Cities
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Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó Ten, José Enrique, and Blanes Noguera, Francisco
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Service (systems architecture) ,smart cities ,Object detection ,Process (engineering) ,Computer science ,Distributed computing ,Distributed architectures ,Cloud computing ,Smart environment ,02 engineering and technology ,lcsh:Chemical technology ,Biochemistry ,Article ,Analytical Chemistry ,Smart city ,0202 electrical engineering, electronic engineering, information engineering ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Instrumentation ,Intranet ,business.industry ,smart environment ,distributed architectures ,020206 networking & telecommunications ,object detection ,information integration ,Atomic and Molecular Physics, and Optics ,Information integration ,ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES ,Smart sensors ,smart sensors ,020201 artificial intelligence & image processing ,The Internet ,Internet of Things ,business ,Smart cities - Abstract
[EN] Object recognition, which can be used in processes such as reconstruction of the environment map or the intelligent navigation of vehicles, is a necessary task in smart city environments. In this paper, we propose an architecture that integrates heterogeneously distributed information to recognize objects in intelligent environments. The architecture is based on the IoT/Industry 4.0 model to interconnect the devices, which are called smart resources. Smart resources can process local sensor data and offer information to other devices as a service. These other devices can be located in the same operating range (the edge), in the same intranet (the fog), or on the Internet (the cloud). Smart resources must have an intelligent layer in order to be able to process the information. A system with two smart resources equipped with different image sensors is implemented to validate the architecture. Our experiments show that the integration of information increases the certainty in the recognition of objects by 2-4%. Consequently, in intelligent environments, it seems appropriate to provide the devices with not only intelligence, but also capabilities to collaborate closely with other devices., This research was funded by the Spanish Science and Innovation Ministry grant number MICINN: CICYT project PRECON-I4: "Predictable and dependable computer systems for Industry 4.0" TIN2017-86520-C3-1-R.
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- 2019
5. Robot Behavior Architecture Based on Smart Resource Service Execution
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Munera-Sánchez, Eduardo, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó Ten, José Enrique, and Blanes Noguera, Francisco
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ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES ,Intelligent Robotics ,Robot Behavior ,Smart Resources ,Distributed Systems - Abstract
[EN] Robot behavior definition aims to classify and specify the robot tasks execution. Behavior architecture design is crucial for proper robot operation performance. According to this, this work aims to establish a robot behavior architecture based on distributed intelligent services. Therefore, behavior definition is set in a high-level delegating the task execution to distributed services provided by network abstractions characterized as Smart Resources. In order to provide a mechanism to measure the performance of this architecture, an evaluation mechanisms based on a service performance composition is introduced. In order to test this proposal it is designed a real use case implementing the proposed robot behavior architecture on a real navigation task., Work supported by the Spanish Science and Innovation Ministry MICINN: CICYT 866 project M2C2: Codiseño de sistemas de control con criticidad mixta basado en 867 misiones TIN2014-56158-C4-4-P and PAID (Polytechnic University of Valencia): 868 UPV-PAID-FPI-2013.
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- 2017
6. Integrating Smart Resources in ROS-based systems to distribute services
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Munera-Sánchez, Eduardo, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó Ten, José Enrique, and Blanes Noguera, Francisco
- Subjects
0209 industrial biotechnology ,Computer science ,Control (management) ,02 engineering and technology ,Informótica ,computer.software_genre ,lcsh:QA75.5-76.95 ,Robot Operating System ,Intelligent Sensors ,020901 industrial engineering & automation ,0202 electrical engineering, electronic engineering, information engineering ,General Environmental Science ,Computing ,General Engineering ,020206 networking & telecommunications ,Computación ,ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES ,Engineering management ,Work (electrical) ,Smart Resources ,Distributed Systems ,Operating system ,General Earth and Planetary Sciences ,Christian ministry ,lcsh:Electronic computers. Computer science ,Information Technology ,computer - Abstract
[EN] Mobile robots execute complexes tasks that involve the management of several embedded sensors and actuators. Therefore, in many cases, a robot is characterized as an intelligent distributed system formed with a central unit, which manages the on-board embedded devices and distributes the tasks execution. Embedded devices are also evolving to more complex systems. These systems are developed not only for executing simple tasks but also for offering some advanced mechanisms. Thus, complex data processing, adaptive execution, or fault-tolerance routines are some common system features. The Smart Resource topology has been developed in order to manage these embedded systems. This topology offers high-level routines that rely on a certain physical hardware execution. Therefore, Smart Resources are defined as distributed services providers, which operates within some context and quality requirements. Provided services can adapt its execution in order accomplish the set requirements and maximize the system performance. How to improve the versatility of the Smart Resources by making their services compatibles with the Robot Operating System (ROS) is addressed along this work. This solution integrates all the execution mechanisms provided by ROS with the service distribution, adaptive execution, and fault-tolerance routines offered by the Smart Resources. This integration is tested through a set of experiments using the Turtlebot robot platform and a simulated version of it. In both approaches ROS mechanisms are used to access the Smart Resource Services. Finally, obtained results are used to characterize the performance of this proposal., Work supported by the Spanish Science and Innovation Ministry MICINN: CICYT project M2C2: "Codiseno de sistemas de control con criticidad mixta basado en misiones" TIN2014-56158-C4-4-P and PAID (Polytechnic University of Valencia): UPV-PAID-FPI-2013.
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- 2017
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7. Computer-assisted method based on continuous feedback to improve the academic achievements of first-year students on Computer Engineering
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Lemus Zúñiga, Lenin Guillermo, Montañana Aliaga, José Miguel, Buendía García, Félix, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, and Benlloch-Dualde, José-V.
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ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES ,Continuous assessment ,Strategy ,Learning activities ,"Pretest-Posttest" ,Learning management system ,Academic excellence - Abstract
The student-centered learning is being promoted worldwide in higher education, from 2005, in North-American universities [Principles of teaching. Carnegie Mellon University [Online]. Available www.cmu.edu/ teaching/principles/ teaching.html], in 2010 in the European Union, but also in Asian countries like Japan [J. M. Bachnik, Roadblocks on the Information Highway: The IT Revolution in Japanese Education, ser. Studies of Modern Japan. Lexington Books, 2003.]. This paradigm is characterized by applying innovative methods of teaching that involve students as active participants in their own learning. In this paper, it is proposed a method based on detecting the students’ learning gains by using low time consuming “Pretests” and “Posttests”, on a selection of learning activities. The overload of introducing the “Pretest-Posttest” is minimized by using information and communication technologies. The results of the “Pretests” and “Posttests”, provided online, allow the students to be aware of their learning progress. The analysis of these results helps teachers adapt their strategies when presenting the learning activities. The method has been applied on a first-year course on Computer Engineering, during the 2010–2011, 2011–2012 and 2012–2013 academic years. To verify that the method works, two student groups, one control and one experimental, were created. The method was applied in the experimental group. The statistical analysis of the obtained results by the experimental and control groups, shows that the method enhances the grades of the experimental group. Additionally, the support of Information and Communication Technologies minimizes the overload of using this method. 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:610–620, 2015; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21633, Contract grant sponsor: Spanish Government; Contract grant number: TIN 2012-32180
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- 2015
8. Smart Resource Integration for Robot Navigation on a Control Kerned Middleware Based System
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Munera Sánchez, Eduardo, Muñoz Alcobendas, Manuel, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó Ten, José Enrique, and Blanes Noguera, Francisco
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ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES ,Embedded systems ,Robot navigation ,Distributed control systems ,Control kernel ,Limited resources management - Abstract
[EN] This paper introduces how mobile robots can perform navigation tasks by implementing a system based on the control kernel middleware (CKM), and how can take benefit of this. Smart resources are also included into the topology of the system, improving the processing and distribution of the computational load required by the system tasks. The CKM and the smart resources are both highly reconfigurable, even on execution time, and they also implement fault detection mechanisms and Quality of Service (QoS) policies. By combining of these capabilities, the system can be dynamically adapted to the requirements of its tasks. Furthermore, this solution is designed to be implemented by almost every type of robot. The distribution of load make this system suitable even for those configurations which are provided with a low computational power. All these benefits are improved by exploiting the smart resources capabilities, and the dynamic performance of the system., This work has been partially supported by the Spanish Ministry of Economy and Competitiveness under the CICYT project Mission Based Control (COBAMI): DPI2011-28507-C02-02.
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- 2015
9. Distributed System for Intelligent Management of Lost or Abandoned Pets
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Garrote Hildebrand, Daniel, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó Ten, José Enrique, and Jiménez García, José Luis
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ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES ,System optimization ,Distributed system ,Meta-data ,Lost and abandoned pets - Abstract
[EN] This paper presents the architecture of a mobile-based distributed system which aims to minimize the social impact of abandoned or lost animals. To reach this purpose the distributed system has two main goals: to obtain the best pets quality information and to optimize the reporting process that allows their rescue. The distributed system is based on the client-server paradigm. By using smart mobile devices clients may provide message warnings of animals localized. In order to enter data such as photographs, audio and artificial images, this system uses different mobile device interfaces. Messages with the pet information are stored in a server database to be processed intelligently. Data processing consists mainly in matching localized animals with lost animals, assigning abandoned animals to shelters and generating notifications for animal shelters or authorities. This matching uses an efficient selection algorithm based on common meta-information to each image. This efficient selection facilitates selective notification deliveries avoiding redundancy. This article shows the architecture details, as well as the first achieved results with prototypes and real data., The study described in this paper is a part of the coordinated project COBAMI: Mission-based Hierarchical Control. Education and Science Department, Spanish Government. CICYT: MICINN: DPI2011-28507-C02-01/02 and the project "Real time distributed control systems" of the Support Program for Research and Development 2012 UPV (PAID-06-12)
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- 2015
10. Quality of Control and Quality of Service in Mobile Robot Navigation
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Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, and Simó Ten, José Enrique
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ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES ,Distributed Systems ,Quality of Service ,Control Architectures ,Quality of Control - Abstract
This article presents the experimental work developed to test the viability and to measure the efficiency of the intelligent control distributed architectures. To do this, a simulated navigation scenario of Braitenberg vehicles has been developed. To control the vehicles, system uses a distributed control architecture that provides support to QoS and QoC parameters to optimize de system. The architecture uses a Publish-Subscribe model, based on Data Distribution Service to send the control messages. Due to the nature of the Publish-Subscribe model, the architecture is suitable to implement event-based control systems. The architecture has been called FSACtrl. To test the efficiency, the architecture provides a set of Quality of Service parameters. In the experiment described in this paper, the performance is used as a reference. The measuring of the quality of the navigation is done through the Integrated Time Average Error as Quality of Control parameter. Tested scenarios are: an environment without quality parameter managing, an environment with a relevant message filtering and an environment with a predictive filtering determined by the type of scenario used. Results obtained show that some of the processing performed in the control nodes can be moved to the middleware to optimize the robot navigation.
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- 2014
11. Detecting Emotions with Smart Resource Artifacts in MAS.
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Rincon, Jaime Andres, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Julian, Vicente, and Carrascosa, Carlos
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- 2016
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12. Smart Resource Integration on ROS-Based Systems: Highly Decoupled Resources for a Modular and Scalable Robot Development.
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Munera, Eduardo, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó-Ten, Jose-Enrique, and Blanes, Francisco
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- 2016
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13. Extending MAM5 Meta-Model and JaCalIV E Framework to Integrate Smart Devices from Real Environments.
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Rincon, J. A., Poza-Lujan, Jose-Luis, Julian, V., Posadas-Yagüe, Juan-Luis, and Carrascosa, C.
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VIRTUAL reality ,AUTOMATIC control systems ,ARTIFICIAL intelligence ,ACTUATORS ,COGNITIVE psychology ,SIMULATION methods & models - Abstract
This paper presents the extension of a meta-model (MAM5) and a framework based on the model (JaCalIVE) for developing intelligent virtual environments. The goal of this extension is to develop augmented mirror worlds that represent a real and virtual world coupled, so that the virtual world not only reflects the real one, but also complements it. A new component called a smart resource artifact, that enables modelling and developing devices to access the real physical world, and a human in the loop agent to place a human in the system have been included in the meta-model and framework. The proposed extension of MAM5 has been tested by simulating a light control system where agents can access both virtual and real sensor/actuators through the smart resources developed. The results show that the use of real environment interactive elements (smart resource artifacts) in agent-based simulations allows to minimize the error between simulated and real system. [ABSTRACT FROM AUTHOR]
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- 2016
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14. Performance and Results of the Triple Buffering Built-In in a Raspberry PI to Optimize the Distribution of Information from a Smart Sensor.
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Jimenez-Garcia, Jose-Luis, Poza-Luján, Jose-Luis, Posadas-Yagüe, Juan-Luis, Baselga-Masia, David, and Simó-Ten, José-Enrique
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- 2014
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15. Dynamic Reconfiguration of a RGBD Sensor Based on QoS and QoC Requirements in Distributed Systems.
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Munera, Eduardo, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó-Ten, José-Enrique, and Blanes Noguera, Juan Fco
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SENSOR networks ,INFORMATION networks ,OPTICAL detectors ,QUALITY of service ,EMBEDDED computer systems - Abstract
The inclusion of embedded sensors into a networked system provides useful information for many applications. A Distributed Control System (DCS) is one of the clearest examples where processing and communications are constrained by the client's requirements and the capacity of the system. An embedded sensor with advanced processing and communications capabilities supplies high level information, abstracting from the data acquisition process and objects recognition mechanisms. The implementation of an embedded sensor/actuator as a Smart Resource permits clients to access sensor information through distributed network services. Smart resources can offer sensor services as well as computing, communications and peripheral access by implementing a self-aware based adaptation mechanism which adapts the execution profile to the context. On the other hand, information integrity must be ensured when computing processes are dynamically adapted. Therefore, the processing must be adapted to perform tasks in a certain lapse of time but always ensuring a minimum process quality. In the same way, communications must try to reduce the data traffic without excluding relevant information. The main objective of the paper is to present a dynamic configuration mechanism to adapt the sensor processing and communication to the client's requirements in the DCS. This paper describes an implementation of a smart resource based on a Red, Green, Blue, and Depth (RGBD) sensor in order to test the dynamic configuration mechanism presented. [ABSTRACT FROM AUTHOR]
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- 2015
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16. Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service.
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Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó-Ten, José-Enrique, Simarro, Raúl, and Benet, Ginés
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TELECOMMUNICATION systems , *QUALITY of service , *DATA distribution , *PARAMETERS (Statistics) , *TELECOMMUNICATION - Abstract
This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Control (QoC) parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS) communication standard as proposed by the Object Management Group (OMG). As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl) has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC) system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems. [ABSTRACT FROM AUTHOR]
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- 2015
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17. Event Management Proposal for Distribution Data Service Standard.
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Poza-Luján, José-Luis, Posadas-Yagüe, Juan-Luis, and Simó-Ten, José-Enrique
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- 2013
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18. Mobile-Based Distributed System for Managing Abandoned or Lost Pets.
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Garrote-Hildebrand, Daniel, Poza-Luján, José-Luis, Posadas-Yagüe, Juan-Luis, and Simó-Ten, José-Enrique
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- 2013
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19. Relationship between Quality of Control and Quality of Service in Mobile Robot Navigation.
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Poza-Luján, José-Luis, Posadas-Yagüe, Juan-Luis, and Simó-Ten, José-Enrique
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- 2012
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20. Quality of Service and Quality of Control Based Protocol to Distribute Agents.
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Poza-Luján, Jose-Luis, Posadas-Yagüe, Juan-Luis, and Simó-Ten, José-Enrique
- Abstract
This paper describes an agent΄s movement protocol. Additionally, a distributed architecture to implement such protocol is presented. The architecture allows the agents to move in accordance with their requirements. The protocol is based on division and fusion of the agents in their basic components called Logical Sensors. The movement of the agents is based on the quality of services (QoS) and quality of control (QoC) parameters that the system can provides. The protocol is used to know the impact that the movement of the agents may have on the system and obtain the equilibrium points where the impact is minimal. [ABSTRACT FROM AUTHOR]
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- 2010
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21. Multi-Agent Architecture with Support to Quality of Service and Quality of Control.
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Poza-Luján, Jose-Luis, Posadas-Yagüe, Juan-Luis, and Simó-Ten, Jose-Enrique
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Multi Agent Systems (MAS) are one of the most suitable frameworks for the implementation of intelligent distributed control system. Agents provide suitable flexibility to give support to implied heterogeneity in cyber-physical systems. Quality of Service (QoS) and Quality of Control (QoC) parameters are commonly utilized to evaluate the efficiency of the communications and the control loop. Agents can use the quality measures to take a wide range of decisions, like suitable placement on the control node or to change the workload to save energy. This article describes the architecture of a multi agent system that provides support to QoS and QoC parameters to optimize de system. The architecture uses a Publish-Subscriber model, based on Data Distribution Service (DDS) to send the control messages. Due to the nature of the Publish-Subscribe model, the architecture is suitable to implement event-based control (EBC) systems. The architecture has been called FSACtrl. [ABSTRACT FROM AUTHOR]
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- 2010
- Full Text
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22. Processing at the Edge: A Case Study with an Ultrasound Sensor-Based Embedded Smart Device.
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Poza-Lujan, Jose-Luis, Uribe-Chavert, Pedro, Sáenz-Peñafiel, Juan-José, and Posadas-Yagüe, Juan-Luis
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SMART devices ,ULTRASONIC imaging ,INTERNET of things ,AMBIENT intelligence ,EDGES (Geometry) - Abstract
In the current context of the Internet of Things, embedded devices can have some intelligence and distribute both data and processed information. This article presents the paradigm shift from a hierarchical pyramid to an inverted pyramid that is the basis for edge, fog, and cloud-based architectures. To support the new paradigm, the article presents a distributed modular architecture. The devices are made up of essential elements, called control nodes, which can communicate to enhance their functionality without sending raw data to the cloud. To validate the architecture, identical control nodes equipped with a distance sensor have been implemented. Each module can read the distance to each vehicle and process these data to provide the vehicle's speed and length. In addition, the article describes how connecting two or more CNs, forming an intelligent device, can increase the accuracy of the parameters measured. Results show that it is possible to reduce the processing load up to 22% in the case of sharing processed information instead of raw data. In addition, when the control nodes collaborate at the edge level, the relative error obtained when measuring the speed and length of a vehicle is reduced by one percentage point. [ABSTRACT FROM AUTHOR]
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- 2022
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23. Distributed Architecture to Integrate Sensor Information: Object Recognition for Smart Cities.
- Author
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Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Simó-Ten, José-Enrique, and Blanes, Francisco
- Subjects
- *
SMART cities , *ARCHITECTURE , *IMAGE sensors , *OBJECT recognition (Computer vision) , *INDUSTRY 4.0 , *DETECTORS , *AUTOMOTIVE navigation systems - Abstract
Object recognition, which can be used in processes such as reconstruction of the environment map or the intelligent navigation of vehicles, is a necessary task in smart city environments. In this paper, we propose an architecture that integrates heterogeneously distributed information to recognize objects in intelligent environments. The architecture is based on the IoT/Industry 4.0 model to interconnect the devices, which are called smart resources. Smart resources can process local sensor data and offer information to other devices as a service. These other devices can be located in the same operating range (the edge), in the same intranet (the fog), or on the Internet (the cloud). Smart resources must have an intelligent layer in order to be able to process the information. A system with two smart resources equipped with different image sensors is implemented to validate the architecture. Our experiments show that the integration of information increases the certainty in the recognition of objects by 2–4%. Consequently, in intelligent environments, it seems appropriate to provide the devices with not only intelligence, but also capabilities to collaborate closely with other devices. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
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