For applications of volume visualization in medicine, it is important to assure that the 3D images show the true anatomical situation, or at least to know about their limitations. In this paper, various methods for evaluation of image quality are reviewed. They are classified based on the fundamental terms of intelligibility and fidelity, and discussed with respect to the question what clues th...

OBJECTIVES To discuss methods of preservation of treatment fidelity in health behavior change trials conducted in public health contexts. METHODS The treatment fidelity framework provided by the National Institutes of Health's Behavioral Change Consortium includes five domains of treatment fidelity (Study Design, Training, Delivery, Receipt, and Enactment). A measure of treatment fidelity was...

For a controls experiment to be meaningful, it should provide knowledge that cannot be gained from theory or simulation. The authors maintain that the value of experiments is proportional to their fidelity to an industrial motivating problem. Without this, claims regarding the efficacy of a control method cannot be substantiated to any degree more than they could via simulation. The control of ...

a very stiff and a very weak, light support were used. Close correlation was obtained between body displacement and light support displacement; body motion greatly exceeded that of the stiff support. Single mass resonant frequency was set by the dorsal skin stiffness when the support was very stiff and by the support stiffness when the light support was used. With both supports the body exhibit...

Many training applications of virtual environments (VE’s) require people to be able to transfer spatial knowledge acquired in a VE to a real world situation. Using the concept of fidelity, we examine the variables that mediate the transfer of spatial knowledge and discuss the form and development of spatial representations in VE training. We report the results of an experiment in which groups w...

Two measures of fidelity are proposed for postselecting devices, the retrodictive conditional probability that the state in the measurement arm is the one indicated by the detectors, and the probability that the device produces the state that it would produce if working perfectly. The first is the natural quantity that one wishes to maximise to improve the device operation. The second correspon...

We describe a digital system that allows people to have an interactive conversation with a human storyteller (a Holocaust survivor) who has recorded a number of dialogue contributions, including many compelling narratives of his experiences and thoughts. The goal is to preserve as much as possible of the experience of face-to-face interaction. The survivor’s stories, answers to common questions...

This paper proposes a deep-learning-based optimal battery management scheme for frequency regulation (FR) by integrating model predictive control (MPC), supervised learning (SL), reinforcement (RL), and high-fidelity models. By taking advantage of deep neural networks (DNNs), the derived DNN-approximated policy is computationally efficient in online implementation. The design procedure proposed...

Multifidelity optimization approaches seek to bring higher-fidelity analyses earlier into the design process by using performance estimates from lower-fidelity models to accelerate convergence towards the optimum of a highfidelity design problem. Current multifidelity optimization methods generally fall into two broad categories: provably convergent methods that use either the high-fidelity gra...

Evaluating large sets of items, such as business ideas, is a difficult task. While no one person has time to evaluate all the items, many people can contribute by each evaluating a few. Moreover, given the mobility of people, it is useful to allow them to evaluate items from their mobile devices. We present the design and implementation of a mobile service, Rankr, which provides a lightweight a...