A Novel Elastographic Frame Quality Indicator and its use in Automatic Representative-Frame Selection from a Cine Loop

2017 ◽  
Vol 43 (1) ◽  
pp. 258-272 ◽  
Author(s):  
Bhaskara Rao Chintada ◽  
Adhitya Vikraman Subramani ◽  
Bagyam Raghavan ◽  
Arun Kumar Thittai
Keyword(s):  
Quality Indicator ◽  
Frame Selection ◽  
Cine Loop

Towards the Use of a Tree Branching Logic in the Environment of a Hospital Information System

1980 ◽  
Vol 19 (04) ◽  
pp. 187-194
Author(s):  
J.-Ph. Berney ◽  
R. Baud ◽  
J.-R. Scherrer
Keyword(s):  
Syntactic Structure ◽  
Large Data ◽  
Selection System ◽  
Frame Selection ◽  
Knowing That ◽  
Medical Language ◽  
Selection Systems ◽  
Definition Of ◽  
Man Machine Dialogue ◽  
Oriented System

It is well known that Frame Selection Systems (FFS) have proved both popular and effective in physician-machine and patient-machine dialogue. A formal algorithm for definition of a Frame Selection System for handling man-machine dialogue is presented here. Besides, it is shown how the natural medical language can be handled using the approach of a tree branching logic. This logic appears to be based upon ordered series of selections which enclose a syntactic structure. The external specifications are discussed with regard to convenience and efficiency. Knowing that all communication between the user and the application programmes is handled only by FSS software, FSS contributes to achieving modularity and, therefore, also maintainability in a transaction-oriented system with a large data base and concurrent accesses.

Field Test of the Flame Quality Indicator

2003 ◽  
Author(s):  
Andrew M. Rudin ◽  
Thomas Butcher ◽  
Henry Troost
Keyword(s):  
Field Test ◽  
Quality Indicator

A Deep Learning Method for Frame Selection in Videos for Structure from Motion Pipelines

2021 ◽  
Author(s):  
Francesco Banterle ◽  
Rui Gong ◽  
Massimiliano Corsini ◽  
Fabio Ganovelli ◽  
Luc Van Gool ◽  
...  
Keyword(s):  
Deep Learning ◽  
Structure From Motion ◽  
Learning Method ◽  
Frame Selection

Quality Assessment of the Preanalytical Workflow in Liquid Biobanking: Taurine as a Serum-Specific Quality Indicator for Preanalytical Process Variations

2019 ◽  
Vol 17 (5) ◽  
pp. 458-467 ◽  
Author(s):  
Nicolle Schwarz ◽  
Nadine Knutti ◽  
Michael Rose ◽  
Sophie Neugebauer ◽  
Jörg Geiger ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Quality Indicator ◽  
Process Variations

scholarly journals Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6674
Author(s):  
Sebastian Hoffmann ◽  
Fabian Adelt ◽  
Johannes Weyer
Keyword(s):  
Smart Grids ◽  
Online Survey ◽  
End Users ◽  
Influential Factors ◽  
System Stability ◽  
End User ◽  
Frame Selection ◽  
Model Of Frame Selection ◽  
Modes Of Governance ◽  
Strong Control

This paper presents an agent-based model (ABM) for residential end-users, which is part of a larger, interdisciplinary co-simulation framework that helps to investigate the performance of future power distribution grids (i.e., smart grid scenarios). Different modes of governance (strong, soft and self-organization) as well as end-users’ heterogeneous behavior represent key influential factors. Feedback was implemented as a measure to foster grid-beneficial behavior, which encompasses a range of monetary and non-monetary incentives (e.g., via social comparison). The model of frame selection (MFS) serves as theoretical background for modelling end-users’ decision-making. Additionally, we conducted an online survey to ground the end-user sub-model on empirical data. Despite these empirical and theoretical foundations, the model presented should be viewed as a conceptual framework, which requires further data collection. Using an example scenario, representing a lowly populated residential area (167 households) with a high share of photovoltaic systems (30%), different modes of governance were compared with regard to their suitability for improving system stability (measured in cumulated load). Both soft and strong control were able to decrease overall fluctuations as well as the mean cumulated load (by approx. 10%, based on weekly observation). However, we argue that soft control could be sufficient and more societally desirable.

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