Issue 1 • Jan. 2007
Table of contentsPublication Year: 2007, Page(s): C1| PDF (39 KB)
IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews publication informationPublication Year: 2007, Page(s): C2| PDF (36 KB)
Cited by: Papers (48)
Artificial neural networks (ANNs) have gained extensive popularity in recent years. Research activities are considerable, and the literature is growing. Yet, there is a large amount of concern on the appropriate use of neural networks in published research. The purposes of this paper are to: 1) point out common pitfalls and misuses in the neural network research; 2) draw attention to relevant lite... View full abstract»
Toward Developing Data Warehousing Process Standards: An Ontology-Based Review of Existing MethodologiesPublication Year: 2007, Page(s):17 - 31
Cited by: Papers (8) | Patents (2)
A data warehouse is developed using a data warehousing process (DWP) methodology. Currently, there are a large number of methodologies available in the data warehousing market. The reason for this is the lack of any centralized attempts at creating platform-independent DWP standards. For the development of such standards, it is very important that we first examine the current practices being follo... View full abstract»
Cited by: Papers (7)
In this paper, a real-time application for visual inspection and classification of cork stoppers is presented. The process of cork inspection and quality grading is based on analyzing a large set of characteristics corresponding to visual features that are related to cork porosity. We have applied a set of nonparametric and parametric classification methods for comparing and evaluating their perfo... View full abstract»
Cited by: Papers (8)
In this paper, a new methodology for extracting motion patterns is applied to optical flow estimation in the presence of multiple motions. The proposed approximation deals with the problem in two stages. In the first one, the most important motions are segmented; in the second one, the optical flow is estimated on the basis of the motions detected in the previous stage. To extract relevant motions... View full abstract»
A Performance Study on a Multiagent E-Scheduling and Coordination Framework for Maintenance NetworksPublication Year: 2007, Page(s):52 - 65
Cited by: Papers (4)
Many maintenance networks as well as supply networks and virtual enterprises consist of multiple organizations. A common problem arising in these different domains is multiorganization scheduling and coordination. The traditional centralized methods are not appropriate because of the existence of private information and decision-making authorities at different organizations. Although many distribu... View full abstract»
Cited by: Papers (105) | Patents (1)
In this paper, we present a novel surrogate-assisted evolutionary optimization framework for solving computationally expensive problems. The proposed framework uses computationally cheap hierarchical surrogate models constructed through online learning to replace the exact computationally expensive objective functions during evolutionary search. At the first level, the framework employs a data-par... View full abstract»
Cited by: Papers (11)
For remote control systems, certain human operations may violate desired requirements and result in catastrophic failure. For such human-in-the-loop systems, this paper implements a hierarchical supervision system to guarantee that remote human-issued commands meet required specifications. In the presented scheme, Petri nets are applied to model, design, and verify both the local controller and th... View full abstract»
Cited by: Papers (4)
Detection and diagnosis of faults in a large-scale distributed system is a formidable task. Interest in monitoring and using traces of user requests for fault detection has been on the rise recently. In this paper we propose novel fault detection methods based on abnormal trace detection. One essential problem is how to represent the large amount of training trace data compactly as an oracle. Our ... View full abstract»
Cited by: Papers (12)
In recent years, researchers have attempted to apply network techniques to the development of computer-assisted learning systems. They have also attempted to develop more effective programs to test and improve the learning performance of students. However, the most conventional testing systems present only a score as a test result, which is not capable of providing advice to the students. To cope ... View full abstract»
Cited by: Papers (13)
The World Wide Web is an increasingly important data source for business decision making; however, extracting information from the Web remains one of the challenging issues related to Web business intelligence applications. To use heterogeneous Web data for decision making, documents containing relevant data must be located, and the data of interest within the documents must be identified and extr... View full abstract»
Cited by: Papers (9)
This correspondence is related to the determination of both control and scheduling of flexible manufacturing systems under cyclic command. Different approaches can be found in the literature, but we focus on those which respect the optimal throughput while minimizing the work in process. So, we recall methods of performance evaluation developed during the last 20 years. The last part is devoted to... View full abstract»
Cited by: Papers (22)
Early work on case-based reasoning (CBR) reported in the literature shows the importance of soft computing techniques applied to different stages of the classical four-step CBR life cycle. This correspondence proposes a reduction technique based on rough sets theory capable of minimizing the case memory by analyzing the contribution of each case feature. Inspired by the application of the minimum ... View full abstract»
Cited by: Papers (19)
Producing answers to a set of queries with common tasks efficiently is known as the multiple-query optimization (MQO) problem. Each query can have several alternative evaluation plans, each with a different set of tasks. Therefore, the goal of MQO is to choose the right set of plans for queries which minimizes the total execution time by performing common tasks only once. Since MQO is an NP-hard p... View full abstract»
Special issue on machine intelligence approaches to system biologyPublication Year: 2007, Page(s): 154| PDF (134 KB)
International Conference on Machine Learning and Cybernetics (ICMLC 2007)Publication Year: 2007, Page(s): 155| PDF (1676 KB)
IEEE First International Conference on Biometrics: Theory, Applications and Systems (BTAS '07)Publication Year: 2007, Page(s): 156| PDF (573 KB)
IEEE Systems, Man, and Cybernetics Society InformationPublication Year: 2007, Page(s): C3| PDF (27 KB)
IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews Information for authorsPublication Year: 2007, Page(s): C4| PDF (36 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)