14 research outputs found
Ontology modelling for materials science experiments
Materials are either enabler or bottleneck for the vast majority of technological innovations. The digitization of materials and processes is mandatory to create live production environments which represent physical entities and their aggregations and thus allow to represent, share, and understand materials changes. However, a common standard formalization for materials knowledge in the form of taxonomies, ontologies, or knowledge graphs has not been achieved yet. This paper sketches the efforts in modelling an ontology prototype to describe Materials Science experiments. It describes what is expected from the ontology by introducing a use case where a process chain driven by the ontology enables the curation and understanding of experiments
Ontology Modelling for Materials Science Experiments
Materials are either enabler or bottleneck for the vast majority of technological innovations. The digitization of materials and processes is mandatory to create live production environments which represent physical entities and their aggregations and thus allow to represent, share, and understand materials changes. However, a common standard formalization for materials knowledge in the form of taxonomies, ontologies, or knowledge graphs has not been achieved yet. This paper sketches the e_orts in modelling an ontology prototype to describe Materials Science experiments. It describes what is expected from the ontology by introducing a use case where a process chain driven by the ontology enables the curation and understanding of experiments
Ontology modelling for materials science experiments
Materials are either enabler or bottleneck for the vast majority of technological innovations. The digitization of materials and processes is mandatory to create live production environments which represent physical entities and their aggregations and thus allow to represent, share, and understand materials changes. However, a common standard formalization for materials knowledge in the form of taxonomies, ontologies, or knowledge graphs has not been achieved yet. This paper sketches the efforts in modelling an ontology prototype to describe Materials Science experiments. It describes what is expected from the ontology by introducing a use case where a process chain driven by the ontology enables the curation and understanding of experiments
From Ideas to Practice, Pilots to Strategy: Practical Solutions and Actionable Insights on How to Do Impact Investing
This report is the second publication in the World Economic Forum's Mainstreaming Impact Investing Initiative. The report takes a deeper look at why and how asset owners began to include impact investing in their portfolios and continue to do so today, and how they overcame operational and cultural constraints affecting capital flow. Given that impact investing expertise is spread among dozens if not hundreds of practitioners and academics, the report is a curation of some -- but certainly not all -- of those leading voices. The 15 articles are meant to provide investors, intermediaries and policy-makers with actionable insights on how to incorporate impact investing into their work.The report's goals are to show how mainstream investors and intermediaries have overcome the challenges in the impact investment sector, and to democratize the insights and expertise for anyone and everyone interested in the field. Divided into four main sections, the report contains lessons learned from practitioner's experience, and showcases best practices, organizational structures and innovative instruments that asset owners, asset managers, financial institutions and impact investors have successfully implemented
Concise data definition language (CDDL): A notational convention to express CBOR data structures
This document proposes a notational convention to express CBOR data structures (RFC 7049). Its main goal is to provide an easy and unambiguous way to express structures for protocol messages and data formats that use CBOR
Concise Data Definition Language (CDDL): A Notational Convention to Express Concise Binary Object Representation (CBOR) and JSON Data Structures
This document proposes a notational convention to express Concise Binary Object Representation (CBOR) data structures (RFC 7049). Its main goal is to provide an easy and unambiguous way to express structures for protocol messages and data formats that use CBOR or JSON
A Reference Architecture for Integrating Safety and Security Applications on Railway Command and Control Systems
In critical infrastructures such as railway systems, the continuous and resilient availability of safety critical functions residing on actuator and sensor components must be ensured. Since these components are also more and more connected using the Internet Protocol (IP), they additionally require security functions to provide protection against attackers. Moreover, the railway infrastructure is highly distributed, with its critical components residing at the track side easily accessible to attackers. Thus, a continuous proofing that the safety-critical systems are not manipulated is required, too. The (safety) certification of such safety-critical systems covers both the hardware components and corresponding software components that compose a specific safety-critical application. Since security functions are currently not in use, they are not part of the certification. However, the integration of security functions is imperative to provide the basis for preventing or detecting manipulations of the system. In essence, co-residing security functions are required to retain and assure the trusted interoperability of safety critical systems integrated in the rapidly growing number of newly deployed control networks based on the IP. Thus, it is required that a given safety certification (and the given guarantees) must not be violated by the integration of security functions. In this paper, we present the first results of the ongoing HASELNUSS project1 by introducing the Haselnuss Reference Architecture (HRA) for Railway Command and Control Systems (CCS), that allows uncertified security functions to reside on the same hardware device as certified safety functions; without voiding the certification of these safety functions
Security Requirements Engineering in Safety-Critical Railway Signalling Networks.
Securing a safety-critical system is a challenging task, because safety requirements have to be considered alongside security controls. We report on our experience to develop a security architecture for railway signalling systems starting from the bare safety-critical system that requires protection. We use a threat-based approach to determine security risk acceptance criteria and derive security requirements. We discuss the executed process and make suggestions for improvements. Based on the security requirements, we develop a security architecture. The architecture is based on a hardware platform that provides the resources required for safety as well as security applications and is able to run these applications of mixed-criticality (safety-critical applications and other applications run on the same device). To achieve this, we apply the MILS approach, a separation-based high-assurance security architecture to simplify the safety case and security case of our approach. We describe the assurance requirements of the separation kernel subcomponent, which represents the key component of the MILS architecture. We further discuss the security measures of our architecture that are included to protect the safety-critical application from cyberattacks
Monofunctional Stealth Nanoparticle for Unbiased Single Molecule Tracking Inside Living Cells
On
the basis of a protein cage
scaffold, we have systematically
explored intracellular application of nanoparticles for single molecule
studies and discovered that recognition by the autophagy machinery
plays a key role for rapid metabolism in the cytosol. Intracellular
stealth nanoparticles were achieved by heavy surface PEGylation. By
combination with a generic approach for nanoparticle monofunctionalization,
efficient labeling of intracellular proteins with high fidelity was
accomplished, allowing unbiased long-term tracking of proteins in
the outer mitochondrial membrane