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Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
A neurodynamic optimization approach is proposed for robust pole assignment problem of second-order control systems via output feedback. With a suitable robustness measure serving as the objective function, the robust pole assignment problem is formulated as a quasi-convex optimization problem with linear constraints. Next, the problem further is reformulated as a convex feasibility problem. Two coupled...
In this study, an optimization based PID controller tuning method is proposed for load-frequency control (LFC) problem. The proposed Big Bang-Big Crunch 2 (BB-BC2) method is an extended version of the original BB-BC, which has a very fast convergence and less computational time. A two-area power system is modeled in Matlab-Simulink for simulations, and then the original BB-BC and the proposed BB-BC2...
This paper introduces an innovative adaptive hybrid Particle Swarm Optimization (PSO)-Gravitational Search Algorithm (GSA) dedicated to the optimal tuning of Takagi-Sugeno-Kang PI-fuzzy controllers (T-S-K PI-FCs). The adaptive hybrid PSO-GSA is comprised from five stages, which support the solving of optimization problems with objective functions that depend on the control error and on the output...
This paper investigates the use of computational intelligence (CI) techniques, alongside mathematical and statistical models, to effectively assess the state and conditions of subsea controls systems from sensor data. The main focus of the work is to apply the CI techniques to the process of fault detection and identification (FDI) by developing a generic framework capable of performing the FDI activities...
The problem of multi-objective feedback controller design of nonlinear systems is solved in this paper. The T-S fuzzy model is adopted to describe the nonlinear systems and genetic algorithm is used to identify the T-S fuzzy model. The identified T-S fuzzy model is reduced by applying Higher Order Singular Value Decomposition (HOSVD) method. Based on the reduced T-S fuzzy model, an optimal state feedback...
In this paper, we use the tools of statistical hypothesis testing to determine whether or not the different links of a WSN are homogeneous. At the design stage we use a statistical path loss law to model the RSS measurements. More precisely, in the homogeneous case all links share one and the same attenuation factor while in the non-homogeneous one the attenuation factors of the various links are...
“Movement of Enhancing Opportunities and Improving Technology”, abbreviated as Fatih, is among the most important educational projects in Turkey, in which students and teachers can use their tablet PCs to obtain educational data (text, images, media, etc.) stored in cloud services. However, the limited network bandwidth and increase in both the number of users and their educational data sizes degrade...
We present in this paper a collective approach for intrusion detection in wide area networks. We use the multi-agent paradigm to model the proposed distributed system. In this system, an agent, which plays several roles, is situated on each node of the net. The first role of an agent is to perform the work of a local intrusion detection system (IDS). Periodically, it proceeds to exchange security...
Inductive bias represents an important factor in learning theory, as it can shape the generalization properties of a learning machine. This paper shows that biased regularization can be used as inductive bias to effectively tackle the semi-supervised classification problem. Thus, semi-supervised learning is formalized as a supervised learning problem biased by an unsupervised reference solution. The...
In this paper, ABC (Artificial Bee Colony), PSO (Particle Swarm Optimization), TS (Tabu Search) and SA (Simulated Annealing) algorithms are applied to estimate the elastic constant of the laminated composite beam by means of measuring vibration frequency of the beam using experimental modal analysis. For this purpose, a proper object function is defined based on the square of deviation between measured...
The mathematical truth associated with the simultaneous multiparameter measurement using reflection only sensors is that if there are n unknowns to be determined, we need at least n independent measurements to be able to solve even one of them. In this paper, multilayer medium technique is employed to produce the needed independent reflection coefficients for simultaneous nondestructive determination...
Directional Steering Systems (DSS) have been developed in the oil and gas industry to achieve high well production when compared to conventional drilling systems. In this paper a dynamic modeling of a DSS using four DC motors was developed. A controller was designed using Feedback Linearization technique for the cancellation of non-linear dynamics and LQR for the optimal linear control. Simulation...
Condition monitoring and fault diagnosis of rotating machinery are very significant and practically challenging fields in industries for reducing maintenance costs. Fault diagnosis may be interpreted as a classification problem; therefore artificial intelligence-based classifiers can be efficiently used to classify normal and faulty machine conditions. K-means clustering is one of the methods applied...
This paper describes an applied approach using an Adaptive Neuro-Fuzzy Inference System to formulate the contents of novel diary functional food. In the development stage for a new functional food, it is required a careful balancing in the product ingredients in order to be achieved not only a healthily effect but an acceptable sensory properties. This imposes the solving of multiparametric task,...
This paper proposes the Blockwise Strong Relationship (BSR) method that calculates the degree of relationship between any pair of stocks based on only their prices. Our method deploys the data transformation adapted from the symbolic aggregation approximation (SAX) and the distance measure using dynamic time warping (DTW). We propose that the time series data should be processed in blocks of some...
In data mining, when using Naive Bayes classification technique, it is necessary to overcome the problem of how to deal with continuous attributes. Most previous work has solved the problem either by using discretization, normal method or kernel method. This study proposes the usage of different continuous probability distribution techniques for Naive Bayes classification. It explores various probability...
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