Early Research Programs (ERP) Annual Report 2020

ERP Report 2019

In this report we present the 2019 progress of TNO’s Early Research Program (ERP) portfolio. In total 16 Full (four-year) ERPs carried out (see Table 1), focused on societal and economical grand challenges requiring a concerted effort of applied research, fundamental research and future private development. We thus continued our use-case...

Assisted Diagnostics Methodology for Complex High-Tech Applications

Controlling the operations and resolving product performance issues in today’s high-tech production systems, such as semiconductor fabs, becomes a cumbersome task, even for experienced field engineers. To address the pressing need for assisted diagnostics approaches, in this paper we propose a model-based step-wise methodology, based on domain...

A digital twin method for automated behavior analysis of large-scale distributed IoT Systems

Intelligent Disease Self-Management with Mobile Technology

Cost-effective mobile healthcare must consider not only technological performance but also the division of responsibilities between the patient and care provider, the context of the patient’s condition, and ways to implement patient decision support and tailored interaction.

Automated Diagnosis of Breast Cancer on Medical Images

The development and use of computerized decision-support systems in the domain of breast cancer has the potential to facilitate the early detection of disease

Supporting active patient self-care

We are currently confronted with a trend of increased pressure on health care, with associated increasing financial costs, due to an aging society and the expected increase in the prevalence of disability and chronic disease. Finding measures for cost reduction, without sacrificing quality of care, is a significant healthcare challenge....

A new probabilistic constraint logic programming language based on a generalised distribution semantics

Abstract Probabilistic logics combine the expressive power of logic with the ability to reason with uncertainty. Several probabilistic logic languages have been proposed in the past, each of them with their own features. We focus on a class of probabilistic logic based on Sato's distribution semantics, which extends logic programming with...

Enhancing operational work in maritime safety-and-security tasks

An Integrated Reconfigurable System for Maritime Situational Awareness

Nowadays the maritime operational picture is characterised by a growing number of entities whose interactions and activities are constantly changing. To provide timely support in this dynamic environment, automated systems need to be equipped with tools— lacking in existing systems—for real-time prioritisation of the application tasks (missions)...