Results 61 to 70 of about 7,217 (228)

Optimal Detection and Error Exponents for Hidden Semi-Markov Models [PDF]

IEEE Journal of Selected Topics in Signal Processing, 2018
We study detection of random signals corrupted by noise that over time switch their values (states) between a finite set of possible values, where the switchings occur at unknown points in time. We model such signals as hidden semi-Markov signals (HSMS), which generalize classical Markov chains by introducing explicit (possibly non-geometric ...
Dragana Bajovic, Kanghang He, Lina Stankovic, Dejan Vukobratovic, Vladimir Stankovic   +4 more
openaire   +2 more sources

Haptic Teleoperation in Extended Reality for Electric Vehicle Battery Disassembly Using Gaussian Mixture Regression

Journal of Field Robotics, EarlyView.
ABSTRACT We present a comprehensive teleoperation framework for electric vehicle (EV) battery cell handling, integrating haptic feedback, extended reality (XR) visualization, and task‐parameterized Gaussian mixture regression (TP‐GMR) for adaptive, real‐time trajectory generation.
Alireza Rastegarpanah, Carmelo Mineo, Cesar Alan Contreras, Abdelaziz Shaarawy, Giovanni Paragliola, Rustam Stolkin   +5 more
wiley   +1 more source

Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes

Frontiers in Neurorobotics, 2017
Humans divide perceived continuous information into segments to facilitate recognition. For example, humans can segment speech waves into recognizable morphemes. Analogously, continuous motions are segmented into recognizable unit actions.
Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh, Masahide Kaneko   +5 more
doaj   +1 more source

Performance and Reliability Analysis of Prioritized Safety Messages Broadcasting in DSRC With Hidden Terminals

IEEE Access, 2020
In this paper, we design a mathematical model for performance and reliability evaluation of the IEEE 802.11p Enhanced Distributed Channel Access (EDCA) broadcast scheme in Dedicated Short-Range Communication (DSRC) with the presence of hidden terminals ...
Lin Hu, Zhijian Dai
doaj   +1 more source

hsmm — An R package for analyzing hidden semi-Markov models

Computational Statistics & Data Analysis, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bulla, Jan, Bulla, Ingo, Nenadic, Oleg
openaire   +3 more sources

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL

Jixie qiangdu, 2017
With the continuous improvement requirements of reliability and security for mechanical equipment,accurate extraction of equipment fault development trend of degradation characteristic information and establishment of effective fault prediction model is ...
JI Yun, WANG Heng, ZHU LongBiao, HUANG Xi   +3 more
doaj  

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

Evolving Connectionist System and Hidden Semi-Markov Model for Learning-Based Tool Wear Monitoring and Remaining Useful Life Prediction

IEEE Access, 2022
Tool wear can cause dimensional accuracy and poor surface quality in milling process. During the operation of tool wear, it can also cause breakage and damage of the workpieces.
Muquan Lin, Song Wanqing, Dongdong Chen, Enrico Zio   +3 more
doaj   +1 more source