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2 results on '"Claudia Serra"'

1. Corporate memory in the lean context

Author

Senhorinha F. C. F. Teixeira, Beatriz da Silva Rodrigues, Catarina Mequita, M.F.F. Oliveira, Adriana Gomez, Claudia Serra, Ivo Pinheiro, Nuno Bastos, José Dinis-Carvalho, Nuno Sobral, Lúcia Silva, and Tiago Pacheco

Subjects
Knowledge management, business.industry, Computer science, Knowledge economy, media_common.quotation_subject, Automotive industry, Kanban, 020207 software engineering, Context (language use), 02 engineering and technology, Component (UML), 0202 electrical engineering, electronic engineering, information engineering, Factory (object-oriented programming), 020201 artificial intelligence & image processing, business, Andon, Function (engineering), media_common
Abstract

A large part of the information necessary for an organization to function is stored exclusively in people's memories. This applies to two different kinds of information - short-term information related to daily operations in the shop floor as well as long-term accumulated knowledge and expertise. In the present article we propose several solutions for preventing short- and long-term information loss in an industrial setting. We analyze information loss and its consequences at an automotive component factory in the North of Portugal. For the short-term information loss, we propose lean tools such as gravity flow racks, kanban and andon screens. For long-term information loss, we propose the implementation of mentorship programs, the creation of a knowledge repository based on wiki technology and the use of explanatory labels.

Published
2019

2. Power Budget of a Skull Unit in a Fully-Implantable Brain-Computer Interface: Bio-Heat Model

Author

Claudia Serrano-Amenos, Payam Heydari, Charles Y. Liu, An H. Do, and Zoran Nenadic

Subjects
Brain-computer interface (BCI), chest wall unit (CWU), electrocorticography (ECoG), finite element method (FEM), skull unit (SU), Medical technology, R855-855.5, Therapeutics. Pharmacology, RM1-950
Abstract

The aim of this study is to estimate the maximum power consumption that guarantees the thermal safety of a skull unit (SU). The SU is part of a fully-implantable bi-directional brain computer-interface (BD-BCI) system that aims to restore walking and leg sensation to those with spinal cord injury (SCI). To estimate the SU power budget, we created a bio-heat model using the finite element method (FEM) implemented in COMSOL. To ensure that our predictions were robust against the natural variation of the model’s parameters, we also performed a sensitivity analysis. Based on our simulations, we estimated that the SU can nominally consume up to 70 mW of power without raising the surrounding tissues’ temperature above the thermal safety threshold of 1°C. When considering the natural variation of the model’s parameters, we estimated that the power budget could range between 47 and 81 mW. This power budget should be sufficient to power the basic operations of the SU, including amplification, serialization and A/D conversion of the neural signals, as well as control of cortical stimulation. Determining the power budget is an important specification for the design of the SU and, in turn, the design of a fully-implantable BD-BCI system.

Published
2023
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