D3.2 Cost Concept Model and Gateway Specification

This document introduces a Framework supporting the implementation of a cost concept model against which current and future cost models for curating digital assets can be benchmarked. The value built into this cost concept model leverages the comprehensive engagement by the 4C project with various user communities and builds upon our understanding of the requirements, drivers, obstacles and objectives that various stakeholder groups have relating to digital curation. Ultimately, this concept model should provide a critical input to the development and refinement of cost models as well as helping to ensure that the curation and preservation solutions and services that will inevitably arise from the commercial sector as ‘supply’ respond to a much better understood ‘demand’ for cost-effective and relevant tools. To meet acknowledged gaps in current provision, a nested model of curation which addresses both costs and benefits is provided. The goal of this task was not to create a single, functionally implementable cost modelling application; but rather to design a model based on common concepts and to develop a generic gateway specification that can be used by future model developers, service and solution providers, and by researchers in follow-up research and development projects.<p></p> The Framework includes:<p></p> • A Cost Concept Model—which defines the core concepts that should be included in curation costs models;<p></p> • An Implementation Guide—for the cost concept model that provides guidance and proposes questions that should be considered when developing new cost models and refining existing cost models;<p></p> • A Gateway Specification Template—which provides standard metadata for each of the core cost concepts and is intended for use by future model developers, model users, and service and solution providers to promote interoperability;<p></p> • A Nested Model for Digital Curation—that visualises the core concepts, demonstrates how they interact and places them into context visually by linking them to A Cost and Benefit Model for Curation.<p></p> This Framework provides guidance for data collection and associated calculations in an operational context but will also provide a critical foundation for more strategic thinking around curation such as the Economic Sustainability Reference Model (ESRM).<p></p> Where appropriate, definitions of terms are provided, recommendations are made, and examples from existing models are used to illustrate the principles of the framework

CERN openlab Whitepaper on Future IT Challenges in Scientific Research

This whitepaper describes the major IT challenges in scientific research at CERN and several other European and international research laboratories and projects. Each challenge is exemplified through a set of concrete use cases drawn from the requirements of large-scale scientific programs. The paper is based on contributions from many researchers and IT experts of the participating laboratories and also input from the existing CERN openlab industrial sponsors. The views expressed in this document are those of the individual contributors and do not necessarily reflect the view of their organisations and/or affiliates

An assistive robotics control system based on speech semantic recognition

Since 90’s era, many researchers and organizations are working on assistive technologies to ease the disabilities people to move around freely, independence, comfort and have the capabilities to enjoy life to the fullest. Nowadays, most of assistive technologies such as manual wheelchairs are propelled by patients sitting on the chair and physically turning the large rear wheels with hand or need helpers to push the chair by handles from behind of the wheelchair. Meanwhile, most of voice command wheelchair unable to deal with an unknown word and cannot take spontaneous speech data from the native speakers. Thus, this project proposes a method of control system for an assistive robotic based on speech semantic recognition through hardware implementation. Consequently, the purpose of this project is to develop a system based on speech semantic or meaning or the interpretation of a word, sentence, or others language form that can be used for an assistive robot. The mobile robot is represented as a wheelchair and a home prototype floor plan is represented as a house with four rooms (living room, toilet, kitchen and bedroom). The mobile robot moves according to the semantic of user commands and the commands are given on Android application Arduino Bluetooth Controller. This Android application is used to catch the command using Google Voice and send the command through Bluetooth HC-05 that connected to the Arduino. Moreover, the obstacle avoidance sensor used for this project is SHARP IR Distance Measurement sensor that standby when their obstacles in front of this mobile robot and the navigation system of this mobile robot are using Simultaneous Localization and Mapping (SLAM). The effectiveness of this mobile robot has been tested using qualitative method by gathered 12 respondents to test this mobile robot on the floor plan. The total effectiveness of this mobile robot is 83%. This mobile robot is still effective but there are some parts that are still missing and need to be improved. Finally, the main contribution of this project is to help physically handicapped people such as patients who cannot move their feet by controlling using speech meanings through helpful robotics applications