7 results on '"Posadas-Yagüe, Juan-Luis"'
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2. Proposal for Measuring the Effectiveness of an Intelligent Control System for Traffic Crossings
- Author
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Uribe-Chavert, Pedro, Posadas-Yagüe, Juan-Luis, Poza-Lujan, Jose-Luis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Omatu, Sigeru, editor, Mehmood, Rashid, editor, Sitek, Pawel, editor, Cicerone, Serafino, editor, and Rodríguez, Sara, editor
- Published
- 2023
- Full Text
- View/download PDF
3. Smart Cities: A Taxonomy for the Efficient Management of Lighting in Unpredicted Environments
- Author
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Sáenz-Peñafiel, Juan-José, Poza-Lujan, Jose-Luis, Posadas-Yagüe, Juan-Luis, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Herrera, Francisco, editor, Matsui, Kenji, editor, and Rodríguez-González, Sara, editor
- Published
- 2020
- Full Text
- View/download PDF
4. Arquitectura modular para la gestión automática del tráfico en rotondas
- Author
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Lara-Domínguez, Adrián, Uribe-Chavert, Pedro, Poza-Luján, José-Luis, and Posadas-Yagüe, Juan-Luis
- Subjects
Intelligent control ,Distributed control ,Traffic management ,Control inteligente ,Gestión del tráfico ,Ciudades inteligentes ,Control distribuido ,Smart cities - Abstract
[Resumen] En los entornos de movilidad, calles o carreteras, los cruces y las rotondas pueden generar problemas de atascos. Poder optimizar el tráfico entrante y saliente de un cruce o rotonda es uno de los campos de investigación de los sistemas de control inteligente. Para optimizar el tráfico se debe disponer de dispositivos capaces de detectar los vehículos así como de actuar, regulando el tráfico, de forma dinámica para adaptarse a las distintas circunstancias. El sistema presentado busca la adaptación a las necesidades de tráfico en una rotonda. Dependiendo de la saturación de cada carril de entrada se intenta crear un tráfico fluido y continuo en el interior de la misma. Para lograr mejorar el tráfico, en este trabajo se presenta una arquitectura modular que permite adaptarse a cualquier cruce o rotonda para, a partir del control específico de un sector, mejorar el rendimiento global. El sistema simulado está compuesto por dispositivos independientes, que, dependiendo de la información adquirida varían el tiempo de paso. Se presenta, asimismo, un experimento de simulaci ón en el que se pone en valor la capacidad de reducir el tráfico adaptando los tiempos de paso en función de la demanda. Los resultados muestran que es posible descongestionar una rotonda cuando se automatizan dinámicamente los tiempos de paso sobre los que se tiene control. [Abstract] Crossroads and roundabouts, can produce traffic jams if traffic management is not optimized. To manage these elements, it is necessary to have devices able to detect the level of traffic as well as to act dynamically in order to adapt the cross access time in each street. The system seeks to adapt to the traffic needs in the roundabout, depending on the saturation of each entrance lane, trying to create a fluid and continuous traffic inside it. In order to optimize the traffic, in this work, a simulation experiment is presented in which the ability to reduce traffic is valued by adapting the access times to a roundabout according to the traffic demand. The simulated system is composed of independent devices, which, depending on the information acquired, can change the access time to the roundabout. The results show that it is possible to reduce the traffic load in a roundabout when access times are dynamically automated. Ministerio de Ciencia e Innovación; TIN2017-86520- C3-1-R
- Published
- 2021
5. 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 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.
- Published
- 2019
6. Processing at the Edge: A Case Study with an Ultrasound Sensor-Based Embedded Smart Device.
- Author
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Poza-Lujan, Jose-Luis, Uribe-Chavert, Pedro, Sáenz-Peñafiel, Juan-José, and Posadas-Yagüe, Juan-Luis
- Subjects
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]
- Published
- 2022
- Full Text
- View/download PDF
7. 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
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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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