Issue 2 • May 2001
Cited by: Papers (62)
Presents an investigation of how partner selection problems may be optimized by the use of a precedence network of subprojects. At the start, the problem is described by a model with the subscript type of variables and a non-analytical objective function. It cannot be solved by general mathematical programming methods. By using the fuzzy rule quantification method, a fuzzy logic-based decision-mak... View full abstract»
Cited by: Papers (8)
Presents a general solution to the contouring problem of industrial robot arms, under the constraints of assigned Cartesian velocity and joint torque/acceleration. The proposed solution is an off-line trajectory generation algorithm and, therefore, it possesses significant industrial implications, as no hardware changes are needed for its implementation. According to the proposed method, the maxim... View full abstract»
Cited by: Papers (1)
A military air operations plan contains a number of sequential and/or parallel tasks. Given information about the battlefield situation (including a task status estimate) during the plan's execution, it is necessary to assess the situation impact on the plan, especially whether the entire plan would be delayed. Plan performance assessment fuses the task status estimate into the status estimate of ... View full abstract»
Cited by: Papers (11)
Formal language techniques have been used in the past to study autonomous dynamical systems. However, for controlled systems, new features are needed to distinguish between information generated by the system and input control. We show how the modeling framework for controlled dynamical systems leads naturally to a formulation in terms of context-dependent grammars. A learning algorithm is propose... View full abstract»
Model-aided diagnosis: an inexpensive combination of model-based and case-based condition assessmentPublication Year: 2001, Page(s):137 - 145
Cited by: Papers (12)
Online condition monitoring and diagnosis are being utilized more and more for increasing the reliability and availability of technical systems and to reduce their maintenance costs. Today's model-based diagnosis (MBD) tools are able to detect and identify incipient and sudden faults very reliably. For application to cost-sensitive equipment, such as high-voltage circuit breakers (HVCBs), however,... View full abstract»
A modeling and analysis methodology for modular logic controllers of machining systems using Petri net formalismPublication Year: 2001, Page(s):168 - 188
Cited by: Papers (27)
Logic controllers for machining systems typically have three control modes: auto, hand and manual. In this paper, a unified formal representation of logic controllers with three control modes is provided using Petri nets (PNs). A modular logic controller structure is introduced and formalized for high-volume transfer lines. The modular logic controller consists of one control module for the mode d... View full abstract»
Intelligent feedback control-based adaptive resource management for asynchronous, decentralized real-time systemsPublication Year: 2001, Page(s):261 - 265
Cited by: Papers (5)
Presents intelligent feedback control techniques for adaptive resource management in asynchronous, decentralized real-time systems. We propose adaptive resource management techniques that are based on feedback control theory and are designed using the intelligent control design paradigm. The controllers solve resource allocation problems that arise during run-time adaptation using the classic prop... View full abstract»
Cited by: Papers (12)
Motion vector estimation plays an important role in motion-compensated video coding. An efficient and fast search algorithm is proposed for the estimation of motion vectors. With the help of gray prediction, the algorithm can determine the motion vectors of image blocks quickly and correctly. Since the proposed algorithm performs better than other search algorithms [e.g. the three-step search (TSS... View full abstract»
Cited by: Papers (4)
Health information networks (HINs) have become increasingly important in the structure of the health care industry. In this paper, we develop decision models and decision-support systems for designing and performing cost-benefit analyses of HINs. Our models prioritize the connection of various types of health providers to the network based on the costs and benefits of all participants: the network... View full abstract»
An improved naive Bayesian classifier technique coupled with a novel input solution method [rainfall prediction]Publication Year: 2001, Page(s):249 - 256
Cited by: Papers (17)
Data mining is the study of how to determine underlying patterns in the data to help make optimal decisions on computers when the database involved is voluminous, hard to characterize accurately and constantly changing. It deploys techniques based on machine learning alongside more conventional methods. These techniques can generate decision or prediction models based on actual historical data. Th... View full abstract»
Cited by: Papers (45)
Comments on recent publications about the use of orthogonal transforms to order and select rules in a fuzzy rule base. The techniques are well-known from linear algebra, and we comment on their usefulness in fuzzy modeling. The application of rank-revealing methods based on singular value decomposition (SVD) to rule reduction gives rather conservative results. They are essentially subset selection... View full abstract»
Cited by: Papers (4) | Patents (1)
Sustainable development of natural resources calls for utilizing these resources based on their potential and limitations. A remote sensing and geographic information system-based approach for the sustainable development of land and water resources has been developed. The approach involves the extraction of information on soils, water resources (both surface and ground water) and land use/cover fr... View full abstract»
Cited by: Papers (168) | Patents (2)
Character recognition (CR) has been extensively studied in the last half century and has progressed to a level that is sufficient to produce technology-driven applications. Now, rapidly growing computational power is enabling the implementation of the present CR methodologies and is creating an increasing demand in many emerging application domains which require more advanced methodologies. This p... View full abstract»
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)