These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or...These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or social networks) that are continuously producing either structured, semi-structured or unstructured data. Database Management Systems and Data Warehouses are no longer the only technologies used to store and analyze datasets, namely due to the volume and complex structure of nowadays data that degrade their performance and scalability. Big Data is one of the recent challenges, since it implies new requirements in terms of data storage, processing and visualization. Despite that, analyzing properly Big Data can constitute great advantages because it allows discovering patterns and correlations in datasets. Users can use this processed information to gain deeper insights and to get business advantages. Thus, data modeling and data analytics are evolved in a way that we are able to process huge amounts of data without compromising performance and availability, but instead by “relaxing” the usual ACID properties. This paper provides a broad view and discussion of the current state of this subject with a particular focus on data modeling and data analytics, describing and clarifying the main differences between the three main approaches in what concerns these aspects, namely: operational databases, decision support databases and Big Data technologies.展开更多
Machines that mimic humans have inspired scientists for centuries.Bioinspired soft robotic hands are a good example of such an endeavor,featuring intrinsic material compliance and continuous motion to deal with uncert...Machines that mimic humans have inspired scientists for centuries.Bioinspired soft robotic hands are a good example of such an endeavor,featuring intrinsic material compliance and continuous motion to deal with uncertainty and adapt to unstructured environments.Recent research led to impactful achievements in functional designs,modeling,fabrication,and control of soft robots.Nevertheless,the full realization of life-like movements is still challenging to achieve,often based on trial-and-error considerations from design to fabrication,consuming time and resources.In this study,a soft robotic hand is proposed,composed of soft actuator cores and an exoskeleton,featuring a multimaterial design aided by finite element analysis(FEA)to define the hand geometry and promote finger’s bendability.The actuators are fabricated using molding,and the exoskeleton is 3D-printed in a single step.An ON-OFF controller keeps the set fingers’inner pressures related to specific bending angles,even in the presence of leaks.The FEA numerical results were validated by experimental tests,as well as the ability of the hand to grasp objects with different shapes,weights,and sizes.This integrated solution will make soft robotic hands more available to people,at a reduced cost,avoiding the time-consuming design-fabrication trial-and-error processes.展开更多
文摘These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or social networks) that are continuously producing either structured, semi-structured or unstructured data. Database Management Systems and Data Warehouses are no longer the only technologies used to store and analyze datasets, namely due to the volume and complex structure of nowadays data that degrade their performance and scalability. Big Data is one of the recent challenges, since it implies new requirements in terms of data storage, processing and visualization. Despite that, analyzing properly Big Data can constitute great advantages because it allows discovering patterns and correlations in datasets. Users can use this processed information to gain deeper insights and to get business advantages. Thus, data modeling and data analytics are evolved in a way that we are able to process huge amounts of data without compromising performance and availability, but instead by “relaxing” the usual ACID properties. This paper provides a broad view and discussion of the current state of this subject with a particular focus on data modeling and data analytics, describing and clarifying the main differences between the three main approaches in what concerns these aspects, namely: operational databases, decision support databases and Big Data technologies.
基金supported by Portuguese national funds through FCT-Fundação para a Ciência e a Tecnologia(grant numbers UIDB/00285/2020,LA/P/0112/2020,and 2022.13512.BD).
文摘Machines that mimic humans have inspired scientists for centuries.Bioinspired soft robotic hands are a good example of such an endeavor,featuring intrinsic material compliance and continuous motion to deal with uncertainty and adapt to unstructured environments.Recent research led to impactful achievements in functional designs,modeling,fabrication,and control of soft robots.Nevertheless,the full realization of life-like movements is still challenging to achieve,often based on trial-and-error considerations from design to fabrication,consuming time and resources.In this study,a soft robotic hand is proposed,composed of soft actuator cores and an exoskeleton,featuring a multimaterial design aided by finite element analysis(FEA)to define the hand geometry and promote finger’s bendability.The actuators are fabricated using molding,and the exoskeleton is 3D-printed in a single step.An ON-OFF controller keeps the set fingers’inner pressures related to specific bending angles,even in the presence of leaks.The FEA numerical results were validated by experimental tests,as well as the ability of the hand to grasp objects with different shapes,weights,and sizes.This integrated solution will make soft robotic hands more available to people,at a reduced cost,avoiding the time-consuming design-fabrication trial-and-error processes.
