Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 14 of 14 for “"gray box"”.
-
Using inverse regression models to create gray box models for industrial facilities
Industrial facilities account for approximately one third of energy usage in the world, and effective energy assessments of these facilities require a reliable baseline energy model. Commercial and residential buildings are baselined with both simple change-point models and models that are more …
-
An adjoint-based optimization method using the solution of gray-box conservation laws
… method has not been able to be implemented in "gray-box" conservation law simulations. In gray-box simulations, the analytical and numerical form of the conservation law is unknown, but the full solution of relevant flow quantities is available. Optimization constrained by gray-box simulations …
-
A system identification approach to non-invasive central cardiovascular monitoring
… order and other key parameters of the black-box dynamics as well as for quantifying the quality of the identified gray-box dynamics, without any direct use of unknown input signal: persistent excitation, model identifiability and asymptotic variance. The blind identification and input signal …
-
Reliability quantification of nuclear safety-related software
… to develop a comprehensive testing strategy, the gray box testing method. It has incorporated favorable aspects of white box and black box testing techniques. The safety-critical features of the software and feasibility of the methodology are the key drivers in determining the architecture for the …
-
Improvements to the electrohydrodynamic jet printing process
… and tuning. Secondly, we also present a gray-box switched-system model for the trajectory of a jet during the printing process which accurately captures features observed through high-speed imaging. This model is simple and flexible enough to be useful for variety of applications. The …
-
Automated Algorithm Configuration
… that includes problem instance features, and a gray-box method, utilizing intermediate algorithm output for identification of unpromising evaluations to increase resource efficiency. Further, an ensemble-based approach is developed in the offline AC setting, including three state-of-the-art …
-
Towards Explainability and Domain Knowledge-inspired Design of Online Real-Time Learning Techniques in NextG Wireless Systems
… architectures, thereby turning opaque ``black-box'' models into intuitive ``gray-box'' models. This solid foundation, founded on signal processing and information theory fundamentals, enables the systematic development of procedures to incorporate domain knowledge into the design of RC-based …
-
Evaluative conditioning of emotional expression in Autism Spectrum Disorders
… or angry expressions, or paired with a neutral gray box. Participants were then asked to provide preferences for characters and ratings for likeability. An explicit memory test was also conducted. Despite successful pilot testing, adequate learning of distinctive emotions was not observed in …
-
Development of methodologies for evaluating performance of fault detection and diagnostics protocols applied to unitary air-conditioning equipment
… used by a colleague, Howard Cheung, to generate gray-box models, so that evaluations based on simulation data can be conducted. This approach has several advantages over using experimental data. The most important of these advantages is that the finite set of existing experimental data are not …
-
Topics in Machining with Industrial Robot Manipulators and Optimal Motion Control
… The second problem is approached by using gray-box identification based on subspace-identification methods. Both identification algorithms are evaluated experimentally. Finally, online state estimation is considered as a means to determine the workspace position and orientation of the robot …
-
A resource management framework for cloud computing
… changes to the user. To this end, we employ a gray-box based smart hill-climbing algorithm that leverages MapReduce runtime statistics and effectively converge to a desirable configuration within a single iteration. Finally, we target enterprise applications in virtualized environment where …
-
BRIDGING INTERPRETABILITY AND PERFORMANCE IN 3D DEEP LEARNING THROUGH GEOMETRIC INDUCTIVE BIASES
… modelli allo stato dell’arte funziona come black boxes, richiedendo ingenti risorse computazionali e grandi quantità di dati per riscoprire relazioni geometriche di base che potrebbero invece essere incorporate come priors. Questa lacuna si rivela particolarmente problematica nel contesto della …
-
A decentralized control design approach to a class of large-scale systems
… refrigeration system for a building. Through a gray-box modeling approach, it is shown that VRF systems naturally exhibit a BAS structure and, therefore, can benefit from a BAS control approach. VRF systems are becoming widely used to meet the air-conditioning and refrigeration needs of …
-
Knowledge-Informed Machine Learning for Industrial Application
L'abstract è presente nell'allegato / the abstract is in the attachment