PPINOT Tool Suite: a Performance Management Solution for Process-Oriented Organisations

A key aspect in any process-oriented organisation is the measurement of process performance for the achievement of its strategic and operational goals. Process Performance Indicators (PPIs) are a key asset to carry out this evaluation, and, therefore, the management of these PPIs throughout the whole BP lifecycle is crucial. in this demo we present PPINOT Tool Suite, a set of tools aimed at facilitating and automating the PPI management. The support includes their definition using either a graphical or a template-based textual notation, their automated analysis at design-time, and their automated computation based on the instrumentation of a Business Process Management System

MES to ERP integration : rapid deployment toolset

Abstract: Production facilities deliver value as subsets of larger corporate entities with a key enabler being systems, inclusive of Enterprise Resource Planning (ERP) and Manufacturing Systems. This research focuses on the development of an evaluation toolset for Manufacturing Execution Systems maturity, specifically determining a ‘Business Units’ maturity relative to a fully automated corporate process enablement. The methodology includes hierarchical segregation of the business together with focused, internationally referenced, questions, facilitating system maturity evaluation. The Likert association methodology facilitates data gathering. This research delivers a method and case study on an internationally benchmarked, express evaluation toolset, with capacity to conduct a Business Unit (BU) evaluation in minimum time. Key value adds of the toolset includes system prioritization on a business benefit and cost basis

Potential of Automated Writing Evaluation Feedback

This paper presents an empirical evaluation of automated writing evaluation (AWE) feedback used for L2 academic writing teaching and learning. It introduces the Intelligent Academic Discourse Evaluator (IADE), a new web-based AWE program that analyzes the introduction section to research articles and generates immediate, individualized, and discipline-specific feedback. The purpose of the study was to investigate the potential of IADE’s feedback. A mixed-methods approach with a concurrent transformative strategy was employed. Quantitative data consisted of responses to Likert-scale, yes/no, and open-ended survey questions; automated and human scores for first and final drafts; and pre-/posttest scores. Qualitative data contained students’ first and final drafts as well as transcripts of think-aloud protocols and Camtasia computer screen recordings, observations, and semistructured interviews. The findings indicate that IADE’s colorcoded and numerical feedback possesses potential for facilitating language learning, a claim supported by evidence of focus on discourse form, noticing of negative evidence, improved rhetorical quality of writing, and increased learning gains

APMEC: An Automated Provisioning Framework for Multi-access Edge Computing

Novel use cases and verticals such as connected cars and human-robot cooperation in the areas of 5G and Tactile Internet can significantly benefit from the flexibility and reduced latency provided by Network Function Virtualization (NFV) and Multi-Access Edge Computing (MEC). Existing frameworks managing and orchestrating MEC and NFV are either tightly coupled or completely separated. The former design is inflexible and increases the complexity of one framework. Whereas, the latter leads to inefficient use of computation resources because information are not shared. We introduce APMEC, a dedicated framework for MEC while enabling the collaboration with the management and orchestration (MANO) frameworks for NFV. The new design allows to reuse allocated network services, thus maximizing resource utilization. Measurement results have shown that APMEC can allocate up to 60% more number of network services. Being developed on top of OpenStack, APMEC is an open source project, available for collaboration and facilitating further research activities

Monitoring of Spatial Data Infraestructures

SDI monitoring and evaluation is increasingly attracting the attention of both public sector bureaucrats seeking justification for providing public sources to SDI and SDI practitioners requiring a measure of success of their SDI strategy. In recent years, a shift from an intuitive to more rational SDI assessments can be observed. SDI monitoring and evaluation is becoming operational and is already part of some SDI implementations and practices. Based on an analysis of the operational monitoring systems of the Dutch national SDI (GIDEON), the European SDI (INSPIRE) and the Catalan SDI (IDEC). We describe, analyze and compare comprehensively the design and application of operational SDI monitoring systems and identify common issues to be taken into account for monitoring of SDIs. This can support further improvement of evaluation practices and operational setups of SDI monitoring systems

LIFE: Costing the digital preservation lifecycle

Having confidence in the permanence of a digital resource requires a deep understanding of the preservation activities that will need to be performed throughout its lifetime, and an ability to plan and resource for those activities. The LIFE (Lifecycle Information for E-Literature) Project1 has advanced understanding of the short and long-term costs in this complex area, facilitating better planning, comparison and evaluation of digital lifecycles. The LIFE Project created a digital lifecycle model based on previous work undertaken on the lifecycles of paper-based materials. It applied the model to real-life collections, modelling their lifecycles and studying their constituent processes. The results were then used to estimate the costs of each element of the digital lifecycle. Organisations can now apply this process, enabling evaluation and refinement of their existing lifecycles and facilitating more effective planning for the preservation of newly acquired content. Phase 2 of the LIFE Project began in February 2007. It is evaluating and refining the models and methodology developed in the first phase of the project and developing lifecycle costings for a range of further case studies

Dual-energy computed tomography using a gantry-based preclinical cone-beam microcomputed tomography scanner

© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. Dual-energy microcomputed tomography (DECT) can provide quantitative information about specific materials of interest, facilitating automated segmentation, and visualization of complex three-dimensional tissues. It is possible to implement DECT on currently available preclinical gantry-based cone-beam micro-CT scanners; however, optimal decomposition image quality requires customized spectral shaping (through added filtration), optimized acquisition protocols, and elimination of misregistration artifacts. We present a method for the fabrication of customized x-ray filters - in both shape and elemental composition - needed for spectral shaping. Fiducial markers, integrated within the sample holder, were used to ensure accurate co-registration between sequential low- and high-energy image volumes. The entire acquisition process was automated through the use of a motorized filter-exchange mechanism. We describe the design, implementation, and evaluation of a DECT system on a gantry-based-preclinical cone-beam micro-CT scanner

Using electronic health records to support clinical trials: a report on stakeholder engagement for EHR4CR

Background. The conduct of clinical trials is increasingly challenging due to greater complexity and governance requirements as well as difficulties with recruitment and retention. Electronic Health Records for Clinical Research (EHR4CR) aims at improving the conduct of trials by using existing routinely collected data, but little is known about stakeholder views on data availability, information governance, and acceptable working practices. Methods. Senior figures in healthcare organisations across Europe were provided with a description of the project and structured interviews were subsequently conducted to elicit their views. Results. 37 structured interviewees in Germany, UK, Switzerland, and France indicated strong support for the proposed EHR4CR platform. All interviewees reported that using the platform for assessing feasibility would enhance the conduct of clinical trials and the majority also felt it would reduce workloads. Interviewees felt the platform could enhance trial recruitment and adverse event reporting but also felt it could raise either ethical or information governance concerns in their country. Conclusions. There was clear support for EHR4CR and a belief that it could reduce workloads and improve the conduct and quality of trials. However data security, privacy, and information governance issues would need to be carefully managed in the development of the platform