Issue 3 • May 2007
Table of contentsPublication Year: 2007, Page(s): C1| |PDF (38 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 (68)
Robot learning is a growing area of research at the intersection of robotics and machine learning. The main contributions of this paper include a review of how machine learning has been used on Sony AIBO robots and at RoboCup, with a focus on the four-legged league during the years 1998-2004. The review shows that the application-oriented use of machine learning in the four-legged league was still... View full abstract»
Cited by: Papers (630) | Patents (8)
Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an intelligent and efficient human-computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to virtual reality. In this paper, we provide a surv... View full abstract»
Molecular Computation and Evolutionary Wetware: A Cutting-Edge Technology for Artificial Life and NanobiotechnologiesPublication Year: 2007, Page(s):325 - 336
Cited by: Papers (6)
Focusing on the new frontiers opened by the integration of artificial life and nanobiotechnologies, this paper reviews mainstream biomolecular computation from the viewpoint of an information processing mechanism, computing methods, and problem-solving algorithms. We also discuss evolutionary wetware as a tool for unconventional computing, inspired by biomolecular systems in nature. Biomolecular c... View full abstract»
Robust Neural-Network-Based Data Association and Multiple Model-Based Tracking of Multiple Point TargetsPublication Year: 2007, Page(s):337 - 351
Cited by: Papers (7)
Data association and model selection are important factors for tracking multiple targets in a dense clutter environment without using a priori information about the target dynamic. We propose a neural-network-based tracking algorithm, incorporating a interacting multiple model and show that it is possible to track both maneuvering and nonmaneuvering targets simultaneously in the presence of dense ... View full abstract»
Cited by: Papers (9)
Neural networks have been used in various applications on the World Wide Web, but most of them only rely on the available input-output examples without incorporating Web-specific knowledge, such as Web link analysis, into the network design. In this paper, we propose a new approach in which the Web is modeled as an asymmetric Hopfield Net. Each neuron in the network represents a Web page, and the ... View full abstract»
Cited by: Papers (7)
This paper proposes a twofold approach for therapeutic drug monitoring (TDM) of kidney recipients using support vector machines (SVMs), for both predicting and detecting Cyclosporine A (CyA) blood concentrations. The final goal is to build useful, robust, and ultimately understandable models for individualizing the dosage of CyA. We compare SVMs with several neural network models, such as the mult... View full abstract»
Cited by: Papers (9)
The use of agent and multiagent techniques to assist humans in their daily routines has been increasing for many years, notably in command and control C2 systems. In this context, we propose using multiagent planning and coordination techniques for resources management in C2 systems. The particular problem we studied is the design of a decision-support for antiair warfare on combat ships. In this ... View full abstract»
Cited by: Papers (24)
This paper discusses the potential of multiagent planning techniques in the production-planning domain, with special focus on mass-oriented production. The research presented in the paper has been centered around ExPlanTech-a specific implementation of a production-planning multiagent system. Suitability of ExPlanTech for mass-oriented and project-driven manufacturing is also discussed in the pape... View full abstract»
Cited by: Papers (47)
The bullwhip effect is an amplification of the variability of the orders placed by companies in a supply chain. This variability reduces the efficiency of supply chains, since it incurs costs due to higher inventory levels and supply chain agility reduction. Eliminating the bullwhip effect is surely simple; every company just has to order following the market demand, i.e., each company should use ... View full abstract»
Cited by: Papers (14)
Temperature control by a Takagi-Sugeno-Kang (TSK)-type recurrent fuzzy network (TRFN) designed by modeling plant inverse is proposed in this paper. TRFN is a recurrent fuzzy network developed from a series of TSK-type fuzzy if--then rules, and is characterized by structure and parameter learning. In parameter learning, two types of learning algorithms, the Kalman filter and the gradient descent le... View full abstract»
A Real-Time Visual Inspection System for Railway Maintenance: Automatic Hexagonal-Headed Bolts DetectionPublication Year: 2007, Page(s):418 - 428
Cited by: Papers (50)
Rail inspection is a very important task in railway maintenance, and it is periodically needed for preventing dangerous situations. Inspection is operated manually by trained human operator walking along the track searching for visual anomalies. This monitoring is unacceptable for slowness and lack of objectivity, as the results are related to the ability of the observer to recognize critical situ... View full abstract»
Cited by: Papers (31)
The main motivation for organizations and individuals to collaborate is to enable knowledge and resource sharing in order to effectively fulfil a joint business opportunity. This correspondence focuses on virtual organizations (VOs) and virtual teams (VTs), whose strengths lie in the range of competencies of their members, offered jointly through collaboration. One of the difficulties in VO and VT... View full abstract»
2008 IEEE International Conference on Distributed Human-Machine Systems (DHMS 2008)Publication Year: 2007, Page(s): 440| |PDF (663 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)