Method to decide a multi-fault rush repair robust strategy in power distribution networks
The multi-fault rush repair problem (MRRP) in power distribution networks is a discrete dynamic combinatorial problem with topology constraints and a series of uncertain factors in repairing process. This paper aims to obtain a robust repairing strategy ...
Iterated variable neighborhood search for the capacitated clustering problem
The NP-hard capacitated clustering problem (CCP) is a general model with a number of relevant applications. This paper proposes a highly effective iterated variable neighborhood search (IVNS) algorithm for solving the problem. IVNS combines an extended ...
A hierarchical consensus method for the approximation of the consensus state, based on clustering and spectral graph theory
A hierarchical method for the approximate computation of the consensus state of a network of agents is investigated. The method is motivated theoretically by spectral graph theory arguments. In a first phase, the graph is divided into a number of ...
Validation of the reasoning of an entry-level cyber-physical stroke rehabilitation system equipped with engagement enhancing capabilities
Maintaining and enhancing engagement of patients during stroke rehabilitation exercises are in the focus of current research. In the preceding phase of our research, an entry-level cyber-physical stroke rehabilitation system (CP-SRS) has been developed, ...
Fault diagnosis using spatial and temporal information with application to railway track circuits
Adequate fault diagnosis requires actual system data to discriminate between healthy behavior and various types of faulty behavior. Especially in large networks, it is often impracticable to monitor a large number of variables for each subsystem. This ...
Fault diagnosis network design for vehicle on-board equipments of high-speed railway
With the rapid development of high-speed railways (HSRs) throughout the world, the fault diagnosis systems of vehicle on-board equipments (VOBEs) for high speed trains have received increasing attention. Since the faults of VOBEs in HSRs are usually ...
A new selection strategy for selective cluster ensemble based on Diversity and Independency
This research introduces a new strategy in cluster ensemble selection by using Independency and Diversity metrics. In recent years, Diversity and Quality, which are two metrics in evaluation procedure, have been used for selecting basic clustering ...
Using linguistic summaries and concepts for understanding large data
We introduce the basic ideas of linguistic summaries. We describe the validation of the summary based upon the compatibility of the data and linguistic terms used in the summary. We next discuss the idea of concepts and describe how to build these ...