Automating the Process to Quantify Cyber-Physical Risk with Contingency Analysis and User Input

2021 ◽  
Author(s):  
Hao Huang ◽  
Dustin Gray ◽  
Juan Mendoza ◽  
Katherine Davis
Keyword(s):  
Contingency Analysis ◽  
User Input ◽  
Physical Risk

A Model for Structured Data Entry Based on Explicit Descriptional Knowledge

1994 ◽  
Vol 33 (05) ◽  
pp. 454-463 ◽  
Author(s):  
A. M. van Ginneken ◽  
J. van der Lei ◽  
J. H. van Bemmel ◽  
P. W. Moorman
Keyword(s):  
Domain Knowledge ◽  
Data Entry ◽  
Knowledge Bases ◽  
Structured Data ◽  
Research Quality ◽  
Free Text ◽  
Specific Knowledge ◽  
User Input ◽  
The One ◽  
Research Quality Assessment

Abstract:Clinical narratives in patient records are usually recorded in free text, limiting the use of this information for research, quality assessment, and decision support. This study focuses on the capture of clinical narratives in a structured format by supporting physicians with structured data entry (SDE). We analyzed and made explicit which requirements SDE should meet to be acceptable for the physician on the one hand, and generate unambiguous patient data on the other. Starting from these requirements, we found that in order to support SDE, the knowledge on which it is based needs to be made explicit: we refer to this knowledge as descriptional knowledge. We articulate the nature of this knowledge, and propose a model in which it can be formally represented. The model allows the construction of specific knowledge bases, each representing the knowledge needed to support SDE within a circumscribed domain. Data entry is made possible through a general entry program, of which the behavior is determined by a combination of user input and the content of the applicable domain knowledge base. We clarify how descriptional knowledge is represented, modeled, and used for data entry to achieve SDE, which meets the proposed requirements.

A fast method for contingency analysis based on P-Q decoupled model.

1987 ◽  
Vol 107 (1) ◽  
pp. 9-16
Author(s):  
Dong Jian Li ◽  
Eiichi Tanaka ◽  
Jun Hasegawa
Keyword(s):  
Fast Method ◽  
Contingency Analysis

scholarly journals Internal risk financing with special reference to contingency funds

2003 ◽  
Vol 6 (2) ◽  
pp. 274-288
Author(s):  
F. J. Mostert
Keyword(s):  
Special Reference ◽  
Risk Control ◽  
Insurance Companies ◽  
Equity Financing ◽  
Holding Companies ◽  
Non Profit ◽  
Operating Profit ◽  
Physical Risk ◽  
Current Operating ◽  
Modelling Approach

Enterprises can manage risks in two fundamental ways, namely by physical risk control and by risk financing. The latter comprises external and internal risk financing. As this paper focuses on the latter of these concepts, due attention is paid to the main forms of internal risk financing. Charging losses to current operating profit, arranging loan facilities and implementing equity financing programmes are different forms of internal risk financing. The nature, advantages and various types of captive insurance companies are considered as holding companies can utilise this form of internal risk financing. Special attention is paid to the use of contingency funds as a way of internal risk financing by applying a modelling approach. The conclusions reached should be valuable to business enterprises in particular, but also to non-profit organisations and individuals.

LIRKIS Global Collaborative Virtual Environments: Current State and Utilization Perspective

2020 ◽  
Vol 11 (1) ◽  
pp. 99-106
Author(s):  
Marián Hudák ◽  
Štefan Korečko ◽  
Branislav Sobota
Keyword(s):  
Virtual Reality ◽  
Virtual Environments ◽  
Smart Devices ◽  
Collaborative Virtual Environments ◽  
Web Based ◽  
Smart Client ◽  
Input Devices ◽  
User Input ◽  
History Of ◽  
Shared Virtual Environments

AbstractRecent advances in the field of web technologies, including the increasing support of virtual reality hardware, have allowed for shared virtual environments, reachable by just entering a URL in a browser. One contemporary solution that provides such a shared virtual reality is LIRKIS Global Collaborative Virtual Environments (LIRKIS G-CVE). It is a web-based software system, built on top of the A-Frame and Networked-Aframe frameworks. This paper describes LIRKIS G-CVE and introduces its two original components. The first one is the Smart-Client Interface, which turns smart devices, such as smartphones and tablets, into input devices. The advantage of this component over the standard way of user input is demonstrated by a series of experiments. The second component is the Enhanced Client Access layer, which provides access to positions and orientations of clients that share a virtual environment. The layer also stores a history of connected clients and provides limited control over the clients. The paper also outlines an ongoing experiment aimed at an evaluation of LIRKIS G-CVE in the area of virtual prototype testing.

scholarly journals Evaluation of Physical Risk during Necropsy and Morgue Activities as Risk Management Strategy

2021 ◽  
Vol 18 (16) ◽  
pp. 8266
Author(s):  
Zoe Del Fante ◽  
Nicola Di Fazio ◽  
Adriano Papale ◽  
Paola Tomao ◽  
Fabio Del Duca ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Management Strategies ◽  
Risk Management Strategy ◽  
Work Related ◽  
Activity Measurements ◽  
Risk Management Strategies ◽  
Physical Risk ◽  
Critical Issues ◽  
Load Handling

Physical risk assessments allow us to understand work-related critical issues, thus representing a useful tool in risk management strategies. In particular, our study focuses on the identification of already known and emerging physical risks related to necropsy and morgue activities, as well as crime scene investigations. The aim of our study is, therefore, to identify objective elements in order to quantify exposure to such risk factors among healthcare professionals and working personnel. For the research of potentially at-risk activities, data from the Morgue of Policlinico Umberto I Hospital in Rome were used. The scientific literature has been reviewed in order to assess the risks associated with morgue activity. Measurements were performed on previously scheduled days, in collaboration with the activities of different research units. The identified areas of risk were: microclimate; exposure to noise and vibrations; postural and biomechanical aspects of necropsy activities. The obtained results make it possible to detect interindividual variability in exposure to many of the aforementioned risk factors. In particular, the assessment of microclimate did not show significant results. On the contrary, exposure to vibrations and biomechanical aspects of load handling have shown potential risk profiles. For this reason, both profiles have been identified as possible action targets for risk management strategies.

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