16 research outputs found

    Traffic congestion control using Smartphone sensors based on IoT Technology

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    Traffic congestion in road networks is one of the main issues to be addressed, also vehicle traffic congestion and monitoring has become one of the critical issues in road transport. With the help of Intelligent Transportation System (ITS), current information of traffic can be used by control room to improve the traffic efficiency. The suggested system utilize technologies for real-time collection, organization and transmission of information to provide an efficient and accurate estimation of traffic density which can be exploited by traffic-aware applications. So, the proposed architecture of Vehicle Traffic Congestion Control & Monitoring System in IoT would perform well. A short overview of the main currently used traffic control methods for freeways will be explained. A sensor array is a group/collection of sensors, usually it is deployed in a certain geometry pattern. So, efficiency of congestion in traffic will improve. The tangible Internet of Things (IoT) based service models which are helpful to academic and industrial world to understand IoT business will be discussed

    Decorative design of ceramic tiles adapted to inkjet printing employing digital image processing

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    [ES] El sector productivo de pavimentos y revestimientos cerámicos es una industria muy competitiva. La capacidad de los diseñadores de ofrecer modelos con nuevos diseños de la cara vista, adaptados a los medios de producción, juega un papel muy importante en la competitividad. En el presente trabajo se analiza la evolución del proceso de diseño en el sector cerámico, así como los cambios experimentados de forma paralela por los medios de impresión. A continuación se presenta un nuevo concepto de diseño de baldosa cerámica, basado en procesado de imagen digital. Esta técnica permite la generación de diseños homogéneos y no repetitivos de grandes superficies, especialmente pensados para la decoración mediante inyección de tinta. Con los algoritmos programados se ha creado un programa informático prototipo de ayuda al diseño cerámico. Esta herramienta permite crear diseños continuos para grandes superficies ahorrando tiempo de desarrollo.[EN] The ceramic tile sector is a very competitive industry. The designer's proficiency to offer new models of the decorated surface, adapted to the production means, plays a very important role in the competitiveness. In the present work, we analyze the evolution of the design process in the ceramic sector, as much as the changes experimented in parallel by the printing equipment. Afterwards, we present a new concept of ceramic design, based on digital image processing. This technique allows the generation of homogeneous and non-repetitive designs for large surfaces, especially thought for inkjet printing. With the programmed algorithms we have compiled a prototype software for the assistance of the ceramic design. This tool allows creating continuous designs for large surfaces saving developing time.Este trabajo ha sido financiado por la Empresa Smalticeram S.A. dentro del proyecto “JUST TO PRINT” SEI-010000-2009-453 financiado por el Ministerio de Industria Turismo y Comercio; y por la Universidad Politécnica de Valencia en el marco del proyecto “DESARROLLO DE TÉCNICAS DE PROCESADO DE IMAGEN DIGITAL PARA LA CREACIÓN DE DECORACIÓN CERÁMICA FLEXIBLE” dentro de Programa de Apoyo a la Investigación y Desarrollo U.P.V. (PAID-05-10).Defez Garcia, B.; Santiago Praderas, VM.; Lluna Gil, E.; Peris Fajarnes, G.; Dunai, L. (2013). Diseño decorativo de pavimentos cerámicos adaptado a inyección de tinta mediante tratamiento digital de imagen. Boletín de la Sociedad Española de Cerámica y Vidrio. 52(4):177-182. https://doi.org/10.3989/cyv.232013S17718252

    Adaptive Sliding Mode Control for Robotic Surface Treatment Using Force Feedback

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    [EN] This work presents a hybrid position-force control of robots in order to apply surface treatments such as polishing, grinding, finishing, deburring, etc. The robot force control is designed using sliding mode concepts to benefit from robustness. In particular, the sliding mode force task is defined using equality constraints to attain the desired tool pressure on the surface, as well as to keep the tool orientation perpendicular to the surface. In order to deal with sudden changes in material stiffness, which are ultimately transferred to the polishing tool and can produce instability and compromise polishing performance, several adaptive switching gain laws are considered and compared. Moreover, a lower priority tracking controller is defined to follow the desired reference trajectory on the surface being polished. Hence, deviations from the reference trajectory are allowed if such deviations are required to satisfy the constraints mentioned above. Finally, a third-level task is also considered for the case of redundant robots in order to use the remaining degrees of freedom to keep the manipulator close to the home configuration with safety in mind. The main advantages of the method are increased robustness and low computational cost. The applicability and effectiveness of the proposed approach are substantiated by experimental results using a redundant 7R manipulator: the Rethink Robotics Sawyer collaborative robot.This work was supported in part by the Spanish Government under the project DPI2017-87656-C2-1-R and the Generalitat Valenciana under Grants VALi + d APOSTD/2016/044 and BEST/2017/029.Gracia Calandin, LI.; Solanes Galbis, JE.; Muñoz-Benavent, P.; Valls Miro, J.; Perez-Vidal, C.; Tornero Montserrat, J. (2018). Adaptive Sliding Mode Control for Robotic Surface Treatment Using Force Feedback. Mechatronics. 52:102-118. https://doi.org/10.1016/j.mechatronics.2018.04.008S1021185

    SCCDNet: A Pixel-Level Crack Segmentation Network

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    Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation

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    This paper presents a novel, real-time defect detection system, based on a best-fit polynomial interpolation, that inspects the conditions of outer surfaces. The defect detection system is an enhanced feature extraction method that employs this technique to inspect the flatness, waviness, blob, and curvature faults of these surfaces. The proposed method has been performed, tested, and validated on numerous pipes and ceramic tiles. The results illustrate that the physical defects such as abnormal, popped-up blobs are recognized completely, and that flames, waviness, and curvature faults are detected simultaneously
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