The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Study on the design of a robust network against malicious attacks has gained increased interest in various areas such as wireless communications networks. One of the main obstacles towards finding the optimum robust network is the large number of possible network configurations. In this paper, we propose a novel method to design robust networks against malicious attacks based on the network degree...
The main issue in the digital content marketplace is copyright protection of digital content. Sometimes the digital information may copy or alter during transmission. Thus, there is a need to develop an authentication method, which is very effective to protect the digital data. There are different watermarking techniques, which use different transforms. In this paper, a Discrete Wavelet Transform...
In electrified powertrain control, meeting the torque demands and ensuring efficient Electrical Machine (EM) operations are two essential but conflicting demands. A multi-objective Linear Parameters Varying (LPV) controller is proposed to address the problem of these conflicting objectives. The synthesis of multi-objective controller is based on the selection of optimal weighting functions optimized...
Model-based predictive control is an effective method for control the large scale systems. Method is based on on-lin solution of control task over the control horizon using current and past measurements as well as the system model. Because model and measurement uncertainty, predicted and plant outputs might be different and plant output may exceed plant output constraints. Generated control is not...
This paper proposes an alternative fuzzy logic controller to create the anti-swing controller of the 3D crane system. Simultaneously, it uses more genetic algorithms (GA) to optimize the parameters inside the crane controller. The controller’s purpose controls the crane’s position and maintains the smallest payload swing angle possible at the desired position in order to reduce industrial accidents...
For decades iris recognition has been widely studied by the scientific community due to its almost unique and stable patterns. Iris recognition biometric systems apply mathematical pattern-recognition techniques to an iris' image of an individual's eye to extract its feature vector. Comparing the dissimilarities from two feature vectors with an acceptance threshold, the system decides if the two vectors...
The design of robust networked structures is of significance in reality, and the integrity of network connections has been greatly emphasized in previous studies. However, besides structural integrity, a system should also keep the functionality when suffering from attacks and failures, i.e. robust community structure. Focusing on enhancing community robustness on complex networks, in this paper,...
The problem of Learning from Demonstration is targeted at learning to perform tasks based on observed examples. One approach to Learning from Demonstration is Inverse Reinforcement Learning, in which actions are observed to infer rewards. This work combines a feature-based state evaluation approach to Inverse Reinforcement Learning with neuroevolution, a paradigm for modifying neural networks based...
This paper proposes a robust H∞ controller based on Multi-objective genetic algorithms (MOGAs) to control the active magnetic bearings (AMBs) with application to superfluid helium cryogenic centrifugal compressor (CCC). Basic weighting function formulas with seven parameters in all are suggested for H∞ controller, whose physical connections with system performance are clearly explained. Weighting...
The induction motor system is dynamically formulated by both the mechanical and electrical equations. In system identification of an induction motor, main objective is to compare parameters between identified by using rotating speed and that by both rotating speed and robust observer. The real-coded genetic algorithm (RGA) is adopted to identify all parameters, and the reduced-order robust observer...
Brain Computer Interfaces allow the interaction between a person and their environment using signals extracted directly from the brain. One of the most common non-invasive methods of brain signal acquisition is the electroencephalography (EEG). An EEG based BCI system generally involves four steps: preprocessing, feature extraction, feature selection, and classification. In order to design a real...
In the present scenario, because of the great success of the internet, the exchange of digital media over the internet became easy. We can easily transmit audio, video and images. But security and copyright protection of this digital media became a serious issue. So an emerging technique, known as digital watermarking, is used. It is widely used for protecting digital media from duplicacy and unauthorized...
Cognitive radio (CR) adapts to wireless environment changes and tries to satisfy the demand of users by tuning radio parameters. However, the process of tuning the radio parameters is quite time-consuming. In order to allow a CR system to make accurate decisions, the wireless environment must be precisely modelled by reliable methods. A CR system also needs a method for tuning the radio parameters...
A novel approach for H∞ robust PID synthesis is developed for wastewater treatment system. In operational terms, the simplification model is obtained by simplifying the Activated Sludge Model No.1 (ASM1). The main objective of this paper is to synthesize a robust PID control structure, which keep the substrate concentration and dissolved oxygen concentration below standards by law with the various...
Deregulation in power systems has created new uncertainties and increased the previous ones. The presence of these uncertainties, high investment costs, and long period investment return cause the transmission network to remain monopoly and the private investors not being interested in investing in this section. This paper presents a new approach for transmission expansion planning (TEP) in order...
Changes in social networks may reflect an underlying significant events or behaviors within an organization. Detecting these changes effectively and efficiently could have the potential to enable the early warning, and faster response to both positive and negative organizational activities. In this paper, we use a genetic algorithm based back propagation (GABP) neural network model to quantitatively...
The community structure as a vital property for complex networks contributes a lot for understanding and detecting inherent functions of real networks. However, existing algorithms which are ranging from the optimization-based to model-based strategies still need to be strengthened further in terms of their robustness and accuracy. In this paper, a kind of multi-headed slime molds, Physarum, is used...
Considering the fragile of joint subsystem controller for the constraint reconfigurable manipulator, a non-fragile robust decentralized force/position controller based on the adaptive coarse parallel genetic algorithms (ACPGA) was designed. The designed controller by using ACPGA to solve the state feedback gain, and can guarantee the stability of reconfigurable manipulator system and achieve H∞ performance...
In fuzzy clustering algorithm, fuzzy possibilistic C-means clustering algorithm (FPCM) is widely used. However, the method is sensitive to its parameters and the clustering accuracy and robustness is poor. In order to overcome the above problems, this paper presents an intuitionistic fuzzy possibilistic C-means clustering based on genetic algorithm (IFPCM-GA). IFPCM-GA does not only retain the advantages...
This study is a novel contribution to the field of optimization in home health care services, both model and solution approach. We address an integration of interrelated optimization problems: rostering, assignment, routing, and scheduling in multi-period workforce planning under uncertainty in nurse availability. Our model explicitly handles the constraints related to workload balancing and multi-period...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.