Results 81 to 90 of about 29,392 (243)

Quantized H_∞ Feedback Control of Semi-Markov Jump Systems With Limited Mode Information

IEEE Access, 2020
This paper concerns the quantized H∞ feedback control problem for a class of semi-Markov jump systems with limited mode information. In networked control loop, the network-induced phenomenon limits the accuracy of the signal transmission. The mode
Ming Xu, Zhaowen Xu, Longhua Ma, Haoyi Que   +3 more
doaj   +1 more source

SMCis: An Effective Algorithm for Discovery of Cis-Regulatory Modules. [PDF]

PLoS ONE, 2016
The discovery of cis-regulatory modules (CRMs) is a challenging problem in computational biology. Limited by the difficulty of using an HMM to model dependent features in transcriptional regulatory sequences (TRSs), the probabilistic modeling methods ...
Haitao Guo, Hongwei Huo, Qiang Yu
doaj   +1 more source

Data informed performance assessment and structural health monitoring for existing and historical concrete structures

Structural Concrete, EarlyView.
Abstract Our generation inherits this cultural heritage of historic material and historic reinforced concrete structures and thus bears a certain responsibility to preserve these historic buildings with the help of the new technologies of lifetime management, conservation concepts and the new digitalization as well as the emerging safety concepts of ...
A. Strauss
wiley   +1 more source

An Improved Fault Detection Method based on HSMM: Application to a Chemical Process

International Journal of Prognostics and Health Management
This paper proposes a fault detection method for multivariate statistical process control. The proposed method combines the Forward-Backward Hidden Semi-Markov Model (HSMM) and Principal Component Analysis (PCA). A stochastic automaton was used for multi-
Lestari Handayani, Pascal Vrignat, Frédéric Kratz   +2 more
doaj   +1 more source

Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration

Frontiers in Robotics and AI, 2016
Designed to safely share the same workspace as humans and assist them in a variety of tasks, the new collaborative robots are targeting manufacturing and service applications that once were considered unattainable.
Sylvain eCalinon, Leonel eRozo, João eSilvério, Darwin Gordon Caldwell   +3 more
doaj   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Explicit Modeling of Brain State Duration Using Hidden Semi Markov Models in EEG Data

IEEE Access
We consider the detection and characterization of brain state transitions based on ongoing electroencephalography (EEG). Here, a brain state represents a specific brain dynamical regime or mode of operation that produces a characteristic quasi-stable ...
Nelson J. Trujillo-Barreto, David Araya Galvez, Aland Astudillo, Wael El-Deredy   +3 more
doaj   +1 more source

Riding out the storm: Behavioural responses of a large herbivore to high‐Arctic winds

Journal of Animal Ecology, EarlyView.
Using 11 years of GPS data from 61 muskoxen in Northeast Greenland, we show how increasing wind speed and Arctic storms reshape movement modes and habitat selection. Muskoxen respond by bedding in dense vegetation, prioritizing energy conservation over foraging, revealing a simple behavioural strategy with potential fitness consequences under ...
Floris M. van Beest, Lars H. Hansen, Niels M. Schmidt   +2 more
wiley   +1 more source

Anomalous event detection using a semi-two dimensional hidden Markov model

, 2012
The rapid increase in the deployment of CCTV systems has led to a greater demand for algorithms that are able to process incoming video feeds. These algorithms are designed to extract information of interest for human operators.
Nallaivarothayan, Hajananth, Fookes, Clinton B., Hajananth Nallaivarothayan, David Ryan, Denman, Simon, Sridharan, Sridha, Sridha Sridharan, Simon Denman, Ryan, David, Clinton Fookes   +9 more
core   +1 more source

Emotional and motivational experiences in teacher–student relationships and psychological need satisfaction during adolescence: A latent profile and latent transition analysis

British Journal of Educational Psychology, EarlyView.
Abstract Background Emotional and motivational aspects of teacher–student relationships are central to adolescents' psychological need satisfaction and academic development. However, few longitudinal studies examine how these relational experiences evolve during adolescence or co‐occur with emotional‐motivational functioning.
Fabian Schimmelpfennig, Diana Raufelder
wiley   +1 more source