The challenges faced by Puerto Rico in the aftermath of Hurricane Maria serve as a poignant reminder of the importance of resilience in power grids. As threats to the grid continue to increase in frequency and severit...
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ISBN:
(纸本)9798350381849;9798350381832
The challenges faced by Puerto Rico in the aftermath of Hurricane Maria serve as a poignant reminder of the importance of resilience in power grids. As threats to the grid continue to increase in frequency and severity, policymakers and industry stakeholders are recognizing the need to bolster the resilience of our electrical infrastructure. This article examines resilience, differentiates it from reliability, discusses its growing importance, addresses challenges in improving resilience, reviews new IEEE guidance, and emphasizes the need for a new approach by establishing a metric to measure resilient performance in the T&D industry to achieve policy goals effectively.
Augmented reality (AR) can improve users' efficiency in various tasks. AR allows to guide a user with superimposed information, for example, during an assembly process. While paper-based assembly instructions are ...
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ISBN:
(纸本)9798331506926;9798331506919
Augmented reality (AR) can improve users' efficiency in various tasks. AR allows to guide a user with superimposed information, for example, during an assembly process. While paper-based assembly instructions are cumbersome and time-consuming, deep-learning driven AR-based instructions can dynamically adapt to the assembly scene and augmented 3D information over the physical objects (in-situ). We present KARVIMIO, an AR assembly guidance application for instruments based on 3D printed parts as reproducible testbed. Our approach utilizes purely synthetic training data for pose estimation to allow an easy generalization of the approach to new assembly groups and other areas of use.
Purpose: This paper aims to explore the intricate relationship between artificial intelligence (AI) and health information literacy (HIL), examining the rise of AI in health care, the intersection of AI and HIL and th...
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Purpose: This paper aims to explore the intricate relationship between artificial intelligence (AI) and health information literacy (HIL), examining the rise of AI in health care, the intersection of AI and HIL and the imperative for promoting AI literacy and integrating it with HIL. By fostering collaboration, education and innovation, stakeholders can navigate the evolving health-care ecosystem with confidence and agency, ultimately improving health-care delivery and outcomes for all. Design/methodology/approach: This paper adopts a conceptual approach to explore the intricate relationship between AI and HIL, aiming to provide guidance for health-care professionals navigating the evolving landscape of AI-driven health-care delivery. The methodology used in this paper involves a synthesis of existing literature, theoretical analysis and conceptual modeling to develop insights and recommendations regarding the integration of AI literacy with HIL. Findings: Impact of AI on health-care delivery: The integration of AI technologies in health-care is reshaping the industry, offering unparalleled opportunities for improving patient care, optimizing clinical workflows and advancing medical research. Significance of HIL: HIL, encompassing the ability to access, understand and critically evaluate health information, is crucial in the context of AI-driven health-care delivery. It empowers health-care professionals, patients and the broader community to make informed decisions about their health and well-being. Intersection of AI and HIL: The convergence of AI and HIL represents a critical juncture, where technological innovation intersects with human cognition. AI technologies have the potential to revolutionize how health information is generated, disseminated and interpreted, necessitating a deeper understanding of their implications for HIL. Challenges and opportunities: While AI holds tremendous promise for enhancing health-care outcomes, it also introduces new challenges
Blind sweep imaging techniques allow novice users to perform antenatal screenings in lieu of expert sonographers. Compliance with the blind sweep protocol is crucial for accurate antenatal screening. Non-compliant ult...
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ISBN:
(纸本)9798350371918;9798350371901
Blind sweep imaging techniques allow novice users to perform antenatal screenings in lieu of expert sonographers. Compliance with the blind sweep protocol is crucial for accurate antenatal screening. Non-compliant ultrasound probe motion along its azimuthal axis results in overlapping frames and reduced anatomical coverage. This study investigates the ability of inter-frame cross-correlation to detect non-compliant motion. Using data from 14 patients acquired with a Lumify C5-2 transducer, inter-frame cross-correlation was used to detect the primary motion component of a sweep (elevational/azimuthal). This method was able to accurately distinguish between elevational and azimuthal blind sweep motion, with only one misclassified oblique case. These results highlight the method's potential for improving image quality control for novice user-performed antenatal screening. Future research will focus on interpretation and discrimination of oblique cases.
The paper presents a novel application of the State Dependent Riccati Equation (SDRE) guidance approach with state constraints for a chaser spacecraft in the close proximity of a passive target. The dynamics are descr...
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The paper presents a novel application of the State Dependent Riccati Equation (SDRE) guidance approach with state constraints for a chaser spacecraft in the close proximity of a passive target. The dynamics are described by full 6 degree of freedom rigid-body relative motion. The final trajectory is defined by a passively safe approaching cone, which acts as path constraint and follows the attitude motion of target. A Near Rectilinear Halo Orbit in the Earth-Moon system is the selected rendezvous scenario to fully validate the proposed solution, even though the parameters related to the constraints and weighting functions are kept as general as possible, thus applicable to other similar missions.
The mathematical formulation of a boundary between the guidance feasible region and guidance infeasible region of the state vector data set, aiming for zero tolerance for the infeasible region is one of the major requ...
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The mathematical formulation of a boundary between the guidance feasible region and guidance infeasible region of the state vector data set, aiming for zero tolerance for the infeasible region is one of the major requirements of any planetary landing guidance design problem. In this paper, a convex optimization technique is proposed to implement a mathematical formulation of the boundary between the feasible and infeasible conditions of landing, given the boundary data set of a lander. The effectiveness of the proposed method is demonstrated through an example followed by applying this method to the boundary data set obtained from the guidance and control perturbation study of the Chandrayaan-3 lunar lander. The superiority of the proposed method is established by comparing it against the results obtained through the Least Square based unconstrained optimization technique. This work is developed as a requirement for the guidance, Navigation and Control design of Chandrayaan-3 Moon landing mission.
Providing guidance during a Visual Analytics session can support analysts in pursuing their goals more efficiently. However, the effectiveness of guidance depends on many factors: Determining the right timing to provi...
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Providing guidance during a Visual Analytics session can support analysts in pursuing their goals more efficiently. However, the effectiveness of guidance depends on many factors: Determining the right timing to provide it is one of them. Although in complex analysis scenarios choosing the right timing could make the difference between a dependable and a superfluous guidance, an analysis of the literature suggests that this problem did not receive enough attention. In this paper, we describe a methodology to determine moments in which guidance is needed. Our assumption is that the need of guidance would influence the user state-of-mind, as in distress situations during the analytical process, and we hypothesize that such moments could be identified by analyzing the user's facial expressions. We propose a framework composed by a facial recognition software and a machine learning model trained to detect when to provide guidance according to changes of the user facial expressions. We trained the model by interviewing eight analysts during their work and ranked multiple facial features based on their relative importance in determining the need of guidance. Finally, we show that by applying only minor modifications to its architecture, our prototype was able to detect a need of guidance on the fly and made our methodology well suited also for real-time analysis sessions. The results of our evaluations show that our methodology is indeed effective in determining when a need of guidance is present, which constitutes a prerequisite to providing timely and effective guidance in VA.
Construction of the precise shape of an asteroid is critical for spacecraft operations as the gravitational potential is determined by spatial mass distribution. The typical approach to shape determination requires a ...
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Construction of the precise shape of an asteroid is critical for spacecraft operations as the gravitational potential is determined by spatial mass distribution. The typical approach to shape determination requires a prolonged "mapping" phase of the mission over which extensive measurements are collected and transmitted for Earth-based processing. This paper presents a set of approaches to explore an unknown asteroid with onboard calculations, and to land on its surface area selected in an optimal fashion. The main motivation is to avoid the extended period of mapping or preliminary ground observations that are commonly required in spacecraft missions around asteroids. First, range measurements from the spacecraft to the surface are used to incrementally correct an initial shape estimate according to the Bayesian framework. Then, an optimal guidance scheme is proposed to control the vantage point of the range sensor to construct a complete 3D model of the asteroid shape. This shape model is then used in a nonlinear controller to track a desired trajectory about the asteroid. Finally, a multi resolution approach is presented to construct a higher fidelity shape representation in a specified location while avoiding the inherent burdens of a uniformly high resolution mesh. This approach enables for an accurate shape determination around a potential landing site. We demonstrate this approach using several radar shape models of asteroids and provide a full dynamical simulation about asteroid 4769 Castalia.
The joule balance method is a kilogram realization method based on the Planck constant. To further enhance its measurement capability, this paper proposes an integrated design method of force measurement and guidance ...
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ISBN:
(纸本)9798350361056;9798350361049
The joule balance method is a kilogram realization method based on the Planck constant. To further enhance its measurement capability, this paper proposes an integrated design method of force measurement and guidance based on the reciprocity principle. By studying the reciprocity measurement mechanism of the joule balance in dual modes, the reciprocity model is established. Based on this, an integrated design method of force measurement and guidance is proposed. This method features high force measurement sensitivity and low linearity, effectively reducing the uncertainties introduced by misalignment.
This article considers the problem of guiding an unknown number of controllable interceptors to rendezvous with the same target at the same time. It is assumed that the all of the interceptors and the target are descr...
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This article considers the problem of guiding an unknown number of controllable interceptors to rendezvous with the same target at the same time. It is assumed that the all of the interceptors and the target are described by linear dynamics with Gaussian noise, though the theory presented does not preclude more general models. This article extends the work of Athans to consider a scenario, where the number of interceptors is unknown and time-varying. In particular, the focus is on the development of a stochastic multiobject guidance law for simulaneous rendezvous and interception. The article is presented as an homage to Athans' original work which was published nearly 50 years ago.
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