Issue 5 • Sept. 2006
Table of contentsPublication Year: 2006, Page(s): c1| PDF (35 KB)
IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews publication informationPublication Year: 2006, Page(s): c2| PDF (35 KB)
Cited by: Papers (38)
This paper provides an overview of the application of evolutionary algorithms in certain bioinformatics tasks. Different tasks such as gene sequence analysis, gene mapping, deoxyribonucleic acid (DNA) fragment assembly, gene finding, microarray analysis, gene regulatory network analysis, phylogenetic trees, structure prediction and analysis of DNA, ribonucleic acid and protein, and molecular docki... View full abstract»
Cited by: Papers (45) | Patents (1)
Soft computing is gradually opening up several possibilities in bioinformatics, especially by generating low-cost, low-precision (approximate), good solutions. In this paper, we survey the role of different soft computing paradigms, like fuzzy sets (FSs), artificial neural networks (ANNs), evolutionary computation, rough sets (RSes), and support vector machines (SVMs), in this direction. The major... View full abstract»
Cited by: Papers (9)
Genome rearrangement is a new and important research area that studies the gene orders and the evolution of gene families. With the development of fast sequencing techniques, large-scale DNA molecules are investigated with respect to the relative order of genes in them. Contrary to the traditional alignment approach, genome rearrangements are based on comparison of gene orders. Recently, it became... View full abstract»
Cited by: Papers (8) | Patents (1)
Inductive learning methods allow the system designer to infer a model of the relevant phenomena of an unknown process by extracting information from experimental data. A wide range of inductive learning methods is nowadays available, potentially ensuring different levels of accuracy on different problem domains. In this critical review of theoretic results gained in the last decade, we address the... View full abstract»
Cited by: Papers (8)
In this paper, a neural network-based control system is proposed for fine control of the intake air/fuel ratio in a bi-fuel engine. This control system is an add-on module for an existing vehicle manufacturer's electronic control units (ECUs). Typically the ECU is calibrated for gasoline and provides a good control of the intake air/fuel ratio with gasoline. The neural network-based control system... View full abstract»
Cited by: Papers (12) | Patents (4)
In this paper, a novel reconfigurable surveillance system that incorporates multiple active-vision sensors is presented. The proposed system has been developed for visual-servoing and other similar applications, such as tracking and state estimation, which require accurate and reliable target surveillance data. In the specific implementation case discussed herein, the position and orientation of a... View full abstract»
Automatic detection and elimination of specular reflectance in color images by means of MS diagram and vector connected filtersPublication Year: 2006, Page(s):681 - 687
Cited by: Papers (6)
This paper proposes a new method for the detection and elimination of specular reflectance in color images of real scenes. We use a two-dimensional histogram that allows us to relate the signals of intensity and saturation of a color image, and to identify the specularities in an area of the histogram. This is known as the Intensity-Saturation (MS) diagram, and it is constructed from the Intensity... View full abstract»
Cited by: Papers (2)
In this correspondence, we examine the relationship between Dempster-Shafer (DS) decision making systems and conventional Bayesian (centralized or distributed) detectors. We establish theoretically that under certain intuitively pleasing DS probability mass assignments the two systems become equivalent. A few numerical studies illustrate the theoretical developments View full abstract»
Cited by: Papers (3)
This correspondence describes a system called ePro for supporting face-to-face group activities. ePro connects a sensor-embedded board that utilizes radio frequency identification (RFID) technology for object recognition and a computer simulation, and is currently used to discuss urban planning and environmental problems. Users collaboratively construct a town by placing pieces such as houses on t... View full abstract»
Cited by: Papers (33)
One of the main characteristics of multiagent systems (MAS) is fault tolerance. When an agent is unavailable for some reason, another agent with similar capabilities can theoretically compensate for this loss. The system can be designed not only for this kind of fault tolerance but also for others. Many key aspects of fault tolerance in MAS are described in this correspondence including social kno... View full abstract»
Cited by: Papers (16)
Often, in economic decision problems such as credit loan approval or risk analysis, data mining models are required to be monotone with respect to the decision variables involved. If the model is obtained by a blind search through the data, it does mostly not have this property, even if the underlying database is monotone. In this correspondence, we present methods to enforce monotonicity of decis... View full abstract»
Special issue on enterprise services computing and industrial applicationsPublication Year: 2006, Page(s): 711| PDF (112 KB)
Have you visited lately? www.ieee.org [advertisement]Publication Year: 2006, Page(s): 712| PDF (220 KB)
IEEE Systems, Man, and Cybernetics Society InformationPublication Year: 2006, Page(s): c3
IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews Information for authorsPublication Year: 2006, Page(s): c4| PDF (33 KB)
Aims & Scope
This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Human-Machine Systems.
Overview, tutorial and application papers concerning all areas of interest to the SMC Society: systems engineering, human factors and human machine systems, and cybernetics and computational intelligence.
Authors should submit human-machine systems papers to the IEEE Transactions on Human-Machine Systems.
Authors should submit systems engineering papers to the IEEE Transactions on Systems, Man and Cybernetics: Systems.
Authors should submit cybernetics papers to the IEEE Transactions on Cybernetics.
Authors should submit social system papers to the IEEE Transactions on Computational Social Systems.
Meet Our Editors
Dr. Vladimir Marik
(until 31 December 2012)