Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Pulsipher, Joshua"'
We discuss basic concepts of convolutional neural networks (CNNs) and outline uses in manufacturing. We begin by discussing how different types of data objects commonly encountered in manufacturing (e.g., time series, images, micrographs, videos, spe
Externí odkaz:
http://arxiv.org/abs/2210.07848
We present a novelty detection framework for Convolutional Neural Network (CNN) sensors that we call Sensor-Activated Feature Extraction One-Class Classification (SAFE-OCC). We show that this framework enables the safe use of computer vision sensors
Externí odkaz:
http://arxiv.org/abs/2202.01816
We present a new modeling paradigm for optimization that we call random field optimization. Random fields are a powerful modeling abstraction that aims to capture the behavior of random variables that live on infinite-dimensional spaces (e.g., space
Externí odkaz:
http://arxiv.org/abs/2201.09951
We propose a new class of measures for shaping time-dependent trajectories in dynamic optimization (DO). The proposed measures are analogous to risk measures used in stochastic optimization (SO) and are inspired by a recently-proposed unifying abstra
Externí odkaz:
http://arxiv.org/abs/2110.07041
Publikováno v:
TOP 28 (2020) 626-645
We propose a computational framework to quantify (measure) and to optimize the reliability of complex systems. The approach uses a graph representation of the system that is subject to random failures of its components (nodes and edges). Under this s
Externí odkaz:
http://arxiv.org/abs/2106.12712
Publikováno v:
Computers & Chemical Engineering 126 (2019) 342-355
We present a computational framework for analyzing and quantifying system flexibility. Our framework incorporates new features that include: general uncertainty characterizations that are constructed using composition of sets, procedures for computin
Externí odkaz:
http://arxiv.org/abs/2106.12706
Publikováno v:
Computers & Chemical Engineering 128 (2019) 69-76
We study the problem of designing systems in order to minimize cost while meeting a given flexibility target. Flexibility is attained by enforcing a joint chance constraint, which ensures that the system will exhibit feasible operation with a given t
Externí odkaz:
http://arxiv.org/abs/2106.12708
Publikováno v:
Computers & Chemical Engineering 119 (2018) 302-308
We present a methodology for computing the flexibility index when uncertainty is characterized using multivariate Gaussian random variables. Our approach computes the flexibility index by solving a mixed-integer conic program (MICP). This methodology
Externí odkaz:
http://arxiv.org/abs/2106.12702
Infinite-dimensional optimization (InfiniteOpt) problems involve modeling components (variables, objectives, and constraints) that are functions defined over infinite-dimensional domains. Examples include continuous-time dynamic optimization (time is
Externí odkaz:
http://arxiv.org/abs/2106.12689
Autor:
Ammari, Bashar L., Johnson, Emma S., Stinchfield, Georgia, Kim, Taehun, Bynum, Michael, Hart, William E., Pulsipher, Joshua, Laird, Carl D.
Publikováno v:
In Computers and Chemical Engineering October 2023 178