Past, present and future woven in velvet: discover how the heritage of the Prato textile district, carefully preserved in the archive, inspires the techniques of today and tomorrow, allowing ...manufacturer to craft objects of timeless charm.
The video is the first episode of a series produced by European Fashion Heritage Association (EFHA) in collaboration with Museo del Tessuto and features Ivo Vignali from Rifinizione Vignali.
Video and Editing: Giorgio Bosisio
With the participation of: Ivo Vignali, Owner of Rifinizione Vignali;
Daniela Degl'Innocenti, Museo del Tessuto
Research: Laura Fiesoli, Museo del Tessuto
Production and Editing: Anna Carniel
Location and Date: Rifinizione Vignali, Museo del Tessuto - Prato, May 2022
Embroidery counts for many techniques handed down from generation to generation, sometimes so specific to different territories to define their identity. The fashion world has been fascinated by the ...beautiful outputs of this craft, contributing to the transformation of tradition into popular culture.
In the second episode of the series produced by the European Fashion Heritage Association in collaboration with Museo del Tessuto, Franca Verteramo talks passionately of her practice as professional embroiderer, from her own atelier to the stage of the Superbowl.
Video and Editing: Giorgio Bosisio
With the participation of: Franca Verteramo, Owner of Atelier Verteramo
Daniela Degl'Innocenti, Museo del Tessuto
Research: Laura Fiesoli, Museo del Tessuto
Production and Editing: Anna Carniel
Location and Date: Atelier Verteramo; Museo del Tessuto - Prato, May 2022
Object type classification (OTC) is an integral part of automotive radar perception. In this work, we propose graph neural networks (GNN) for radar OTC, which jointly process the radar reflection ...list and spectra. Combining the full set of features available in reflections and rich object representation in radar spectra in a graph structure allows a notable performance improvement, reducing the misclassification rate from 8.2% to 2.87%. With respect to implementation efficiency, we propose an approach that appends the learned spectral features directly into the reflection list, enabling a reduction of number of model parameters.
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information networks are prevalent ...in the real world. Sometimes, label information is available for some objects. Learning from such labeled and unlabeled data via transductive classification can lead to good knowledge extraction of the hidden network structure. However, although classification on homogeneous networks has been studied for decades, classification on heterogeneous networks has not been explored until recently.
In this paper, we consider the transductive classification problem on heterogeneous networked data which share a common topic. Only some objects in the given network are labeled, and we aim to predict labels for all types of the remaining objects. A novel graph-based regularization framework, GNetMine, is proposed to model the link structure in information networks with arbitrary network schema and arbitrary number of object/link types. Specifically, we explicitly respect the type differences by preserving consistency over each relation graph corresponding to each type of links separately. Efficient computational schemes are then introduced to solve the corresponding optimization problem. Experiments on the DBLP data set show that our algorithm significantly improves the classification accuracy over existing state-of-the-art methods.
The world’s languages draw on different reference frames to encode spatial relationships between people, objects or places. We address how subtle differences in reference frame preferences across ...Spanish and English affect Spanish–English bilinguals’ interpretations of spatial descriptions involving the terms left and right. Bilinguals saw an entity (‘object’; e.g., a vase or a human) with a circle on either side, along with a description of the location of a ball relative to the object (e.g., The ball is to the right of the vase or The ball is on the vase’s right). Their task was to decide which circle indicated the ball’s location. Results showed that syntax and object type contributed differently to bilinguals’ responses: Effects of syntax patterned with Spanish preferences, whereas effects of object type patterned with English preferences. English language exposure subtly affected bilinguals’ response choices. Results are discussed with respect to experience-based theories of language processing.
Movable object type wave power generators produce energy through the process of primary energy conversion, which converts the potential and kinetic energy of the waves into mechanical energy, ...secondary energy conversion that converts it into energy for generator operation using a mechanical system or hydraulic system, and final energy conversion, the last step in power generation. The secondary energy conversion system that transmits and amplifies energy according to the primary energy conversion needs to secure durability while power generation performance varies greatly depending on how the secondary energy conversion system is built. As a result, reliability assessment of systems based on system engineering are a very important issue. Therefore, in this study, for the conceptual design based on reliability assessment of the secondary energy conversion system, the system concept was established using the integrated computer-aided manufacturing (ICAM) definition for function modeling (IDEF0), a system analysis method, while necessary equipment and process flow diagrams (PFD) were derived. In addition, the database (DB) and formula of the secondary energy conversion system were constructed, and reliability assessment algorithms and programs were developed. Finally, the PFD and reliability assessment program were verified by applying them to a representative movable object type wave power generator.
Towards Type Inference for JavaScript Anderson, Christopher; Giannini, Paola; Drossopoulou, Sophia
ECOOP 2005 - Object-Oriented Programming,
2005
Book Chapter, Conference Proceeding
Peer reviewed
Object-oriented scripting languages like Javascript and Python are popular partly because of their dynamic features. These include the runtime modification of objects and classes through addition of ...fields or updating of methods. These features make static typing difficult and so usually dynamic typing is used. Consequently, errors such as access to non-existent members are not detected until runtime.
We first develop a formalism for an object based language, JS0 with features from Javascript, including dynamic addition of fields and updating of methods. We give an operational semantics and static type system for JS0using structural types. Our types allow objects to evolve in a controlled manner by classifying members as definite or potential.
We define a type inference algorithm for JS0 that is sound with respect to the type system. If the type inference algorithm succeeds, then the program is typeable. Therefore, programmers can benefit from the safety offered by the type system, without the need to write explicitly types in their programs.
Companies increasingly adopt process management technology which offers promising perspectives for realizing flexible information systems. However, there still exist numerous process scenarios not ...adequately covered by contemporary information systems. One major reason for this deficiency is the insufficient understanding of the inherent relationships existing between business processes on the one side and business data on the other. Consequently, these two perspectives are not well integrated in many existing process management systems. This paper emphasizes the need for both object- and process-awareness in future information systems, and illustrates it along several examples. Especially, the relation between these two fundamental perspectives will be discussed, and the role of business objects and data as drivers for both process modeling and process enactment be emphasized. In general, any business process support should consider object behavior as well as object interactions, and therefore be based on two levels of granularity. In addition, data-driven process execution and integrated user access to processes and data are needed. Besides giving insights into these fundamental characteristics, an advanced framework supporting them in an integrated manner will be presented and its application to real-world process scenarios be shown. Overall, a holistic and generic framework integrating processes, data, and users will contribute to overcome many of the limitations of existing process management technology.
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