Abstract Sharing research data between researchers is becoming a requirement for open science in the field of clinical phonetics and speech language pathology. An initiative entitled DELAD was started 2015 to provide platform discuss ongoing technical, legal ethics issues related sharing recordings disorders, assist them archiving their with colleagues field. The ultimate goal enhance teaching ...

Collaboration in warehousing has the potential to decrease costs and increase supply chain efficiency is therefore popular practice. However, there little literature quantifying benefits of warehouse collaboration. In this paper, we study impact collaboration on two main internal resources warehouse; order pickers dock doors. The setting consider relevant multi-user warehouses, where owner prov...

The development of multi-variety, mixed-flow manufacturing environments is hampered by a low degree automation in information and empirical parameters’ reuse among similar processing technologies. This paper proposes mechanism for knowledge sharing between resources that based on cloud-edge collaboration. process coded using an ontological model, which the task refined decomposed to lowest-gran...

Resource sharing within Grid collaborations usually implies specific sharing mechanisms at participating sites. Challenging policy issues can arise within virtual organizations (VOs) that integrate participants and resources spanning multiple physical institutions. Resource owners may wish to grant to one or more VOs the right to use certain resources subject to local policy and service level a...

Current approaches to supporting real-time communication allocate network resources either to individual connections, or to aggregates of connections. Resource sharing is a new approach that exploits known relationships between related connections to allow network resources to be shared between them without sacriic-ing well-deened guarantees. We present a fully distributed technique for using r...

A fundamental advantage of neural models for NLP is their ability to learn representations from scratch. However, in practice this often means ignoring existing external linguistic resources, e.g., WordNet or domain specific ontologies such as the Unified Medical Language System (UMLS). We propose a general, novel method for exploiting such resources via weight sharing. Prior work on weight sha...