Engineering topics
Publications and source records attributed to Fijany, A..
The most widely used approach to model-based diagnosis consists of a two-step process: (1) Generating conflict sets from symptoms; (2) Calculating minimal diagnosis set from the conflicts.
We have developed a new and powerful diagnosis engine that overcomes the limitations of the existing systematic methods of general diagnosis through a two-fold approach. First, we propose a novel and compact reconstruction of the General Diagnosis Engine, one of the most fundamental approaches to model-based diagnoses. We then present a novel algorithmic approach for calculation of minimal diagnosis set.
Systematic methods of general diagnosis exist in literature, but they all suffer from two major drawbacks that severely limit their practical applications. In this paper, we propose a two-fold approach to overcome these limitations.
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In this paper, we propose a two-fold approach to overcome the two limitations to the practical application of fault diagnosis of spacecraft and to develop a new and powerful diagnosis engine.
Quantum Dots (QDs) are solid state structures made of semiconductors or metals that confine a small number of electrons into a small space. The confinement of electrons is achieved by the placement of some insulating material(s) around a central, well conducting region. Thus, they can ve viewed as artificial atoms.
Quantum Dots (QDs) are solid-state structures made of semiconductors or metals that confine a small number of electrons into a small space. The confinement of electrons is achieved by the placement of some insulating material(s) around a central, well-conducting region. Thus, they can be viewed as artificial atoms. They therefore represent the ultimate limit of the semiconductor device scaling. Additional information is contained in the original extended abstract.
The main promise of Quantum Dot Cellular Automata (QCA) as a new computing paradigm is the possbility of implementing a set of universal logic gates and thus feasibility of general-purpose computing.
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In this paper, we present novel parallel architectures based on Quantum-dot Cellular Automata (QCA) hardware.
The pupose of this survey is the detection of surface and subsurface Unexploded Ordnance (UX0) and in a broader sense the site characterization for identification of contaminated as well as clear areas.
The purpose of this survey is the detection of surface and subsurface Unexploded Ordnance (UXO) and in a broader sense the site characterization for identification of contaminated as well as clear areas.
This paper presents a new formulation of the Constraint Force Algorithm that corrects a major limitation in the original, and sheds new light on the relationship between it and other dynamics algoritms.
In this paper a new algorithm, designated as Fast Invariant Imbedding algorithm, for solution of Poisson equation on vector and massively parallel MIMD architectures is presented. This algorithm achieves the same optimal computational efficiency as other Fast Poisson solvers while offering a much better structure for vector and parallel implementation. Our implementation on the Intel Delta and Paragon shows that a speedup of over two orders of magnitude can be achieved even for moderate size problems.