Results 201 to 210 of about 6,407,651 (267)
Some of the next articles are maybe not open access.
Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies
ACM Transactions on Intelligent Systems and Technology, 2019Frequent Episode Mining (FEM), which aims at mining frequent sub-sequences from a single long event sequence, is one of the essential building blocks for the sequence mining research field.
Xiang Ao +5 more
semanticscholar +1 more source
A general approach for optimizing dynamic sensor activation for discrete event systems
at - Automatisierungstechnik, 2019We study the problem of dynamic sensor activation for centralized partially-observed discrete event systems. The sensors can be turned on/off online dynamically according to a sensor activation policy in order to satisfy some observation property.
Xiang Yin, S. Lafortune
semanticscholar +1 more source
Event-Triggered Active MPC for Nonlinear Multiagent Systems With Packet Losses
IEEE Transactions on Cybernetics, 2019In this paper, event-triggered active model predictive control is investigated for a nonlinear multiagent system (MAS) with packet losses. By designing event-triggered mechanisms which reduce sensing cost, event-triggered conditions are detected at ...
Hongjiu Yang +3 more
semanticscholar +1 more source
IET Control Theory & Applications, 2018
This study investigates the issue of stabilisation to input-to-state stability (ISS) by event-triggered impulsive control (ETIC) for continuous-time dynamical systems (CDSs) with external inputs/disturbances.
Bin Liu, D. Hill, Zhijie Sun
semanticscholar +1 more source
This study investigates the issue of stabilisation to input-to-state stability (ISS) by event-triggered impulsive control (ETIC) for continuous-time dynamical systems (CDSs) with external inputs/disturbances.
Bin Liu, D. Hill, Zhijie Sun
semanticscholar +1 more source
Maximizing lifetime of event-unobservable wireless sensor networks
Computer Standards & Interfaces, 2011In wireless sensor networks (WSNs) contextual information such as the information regarding whether, when, and where the data is collected cannot be protected using only traditional measures (e.g., encryption). Contextual information can be protected against global eavesdroppers by periodic packet transmission combined with dummy traffic filtering at ...
Kemal Bicakci +3 more
openaire +2 more sources
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2018
To reduce actuation burden in dynamical network environment, the event-triggering strategy is applied to consensus protocol for a class of nonlinear multi-agent systems with a switching topology.
Ying-liu Cui +3 more
semanticscholar +1 more source
To reduce actuation burden in dynamical network environment, the event-triggering strategy is applied to consensus protocol for a class of nonlinear multi-agent systems with a switching topology.
Ying-liu Cui +3 more
semanticscholar +1 more source
The maximal steady state versus selected running events
Medicine and Science in Sports and Exercise, 1981To investigate the relationship between the maximal steady state (MSS) and selected running events, seven males (mean = 37.6 years) who were experienced competitive distance runners were studied. From a series of 10-min steady-state treadmill runs, MSS (treadmill velocity, VO2, or heart rate where lactic acid concentration was 2.2 mM/L of venous blood)
T P, LaFontaine +2 more
openaire +2 more sources
Mining Maximal Co-located Event Sets
2011A spatial co-location is a set of spatial events being frequently observed together in nearby geographic space. A common framework for mining spatial association patterns employs a level-wised search method (like Apriori). However, the Apriori-based algorithms do not scale well for discovering long co-location patterns in large or dense spatial ...
Jin Soung Yoo, Mark Bow
openaire +2 more sources
Distributed event driven optimization for network utility maximization
2016 IEEE 55th Conference on Decision and Control (CDC), 2016The network utility maximization problem has wide applications in wireless sensor networks and power grids. In this paper, we propose a distributed event driven optimization method to the network utility maximization problem, which can be regarded as an extension of the classical dual decomposition algorithm. By exploiting the dual problem, we are able
Xiangyu Meng 0001 +2 more
openaire +2 more sources
Event Structure and Verbal Decomposition
The Oxford Handbook of Event Structure, 2019This chapter explores the relationship between constrained semantic representations of events, and structured syntactic representations that express them.
G. Ramchand
semanticscholar +1 more source