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The present paper proposes an approach for classification based on fuzzy rules. The paper mainly concentrates to optimize the association rules for classification. The present study proposes a method called Integrated Rule Classifier (IRC). To develop a Fuzzy Association Rule (FAR) algorithm to produce rules which are suitable for signature-based and anomaly-based detection for mining purposes with...
The task of failure prognosis requires the prediction of impending failures. This is possible if each failure trace possesses a nonfailure prefix for which at least one local prognoser is unambiguous that a failure in future is inevitable. This paper formulates and studies the problem of distributed prognosis of discrete event systems, where the local prognosers exchange their observations of the...
This paper solves the Phasor Measurement Unit (PMU) placement problem by Particle swarm Optimization (PSO). The PSO algorithm is implemented on three bus systems namely the 7, 14, 57 IEEE standard Bus systems. In this paper it has been proved that the placing of Phasor measurement units only at buses with the highest number of incident branches surely doesn't yield the optimal placement of the PMUs...
This research paper presents the design of a structure based computer grammar for compound-complex, multiple-compound and multiple-complex sentences of English language. This gives us a versatile method for describing the language which is more interesting and powerful way of representing the grammar. At first, the related works are analyzed to demonstrate the need of this computer grammar. To begin...
In this paper, we extend conventional grid scheduler to implement resource leasing strategy for mediating resource leases on behalf of the users. The proposed mechanism allows the resource providers to advertise its willingness to provide the hardware resource as lease and also to express lease usage policies. Further, it is also proposed to extend standard job submission description language to express...
This paper presents a multi-agent model for the portfolio selection problem where every selected stock would have at least a specified fraction of the total investment. A system of agents divides the initial wealth and follows individual portfolio adjustment strategies starting with pseudo-random portfolios. Periodically, the agents share information about their performances, and change the composition...
Most prior work on control of discrete event systems assume that sensors are reliable so that they can be modeled as a deterministic (point-valued) observation mask. However in certain harsh environments such as nuclear systems, sensors may not be reliable. This results in a nondeterministic (set-valued) observation mask. In this paper, we allow the observation mask to be nondeterministic to capture...
We address the problem of optimizing mediator-based service composition where the services and the desired composition (goal) functionality are represented as i/o automata with loops. The objective of optimization is to minimize the costs of communications and computations necessary to realize the goal from the existing services. We develop an algorithm to compute the minimum cost of an automaton...
In this paper, we investigate register multimapping as a technique to reduce register bank conflicts for processors with large register files, but relatively slow clock speeds. Register multimapping involves mapping an architectural register to multiple physical registers belonging to different banks. Reads can proceed using any of the physical registers, thereby minimizing read bank conflicts. Write...
Interconnection networks for multicore processors are designed in a generic way to serve a diversity of workloads. For multicore processors, there is a considerable opportunity to achieve an improvement in performance by implementing interconnects which adapt to different program phases and to a variety of workloads. This paper proposes one such interconnection network for medium-scale (up to 32 cores)...
We develop a modeling approach for Simulink diagrams. Simulink is a commercial graphical representation tool for representing and simulating dynamical systems. We propose a recursive approach for modeling a class of Simulink diagrams as input/output-extended finite automata (I/O-EFA). A model of a Simulink diagram can be used for further analysis such as test generation and formal verification. The...
Wireless capsule endoscopy (CE) is increasing being used to assess several gastrointestinal(GI) diseases and disorders. Current clinical methods are based on subjective evaluation of images. In this paper, we develop a method for ranking lesions appearing in CE images. This ranking is based on pairwise comparisons among representative images supplied by an expert. With such sparse pairwise rank information...
We study the problem of finding a finite bisimilar abstraction for a class of reactive untimed infinite-state systems, modeled as input-output extended finite automata (I/O-EFA). We identify a lower bound abstraction (that is coarser than any finite bisimilar abstraction), and present an iterative refinement algorithm whose termination guarantees the existence of a finite bisimilar abstraction. The...
Knowledge of the current system state is crucial to many discrete event systems (DESs) applications such as control, diagnosis and prognosis. Due to limited sensing capabilities, the current state information is generally not available and needs to be estimated. In this paper, we propose a novel distributed state estimation algorithm for discrete event plants. According to the proposed algorithm,...
Keeping a property of system behaviors secret from an observer (who has a partial observation of any executed behavior) requires that the execution of any property-satisfying or property-violating behavior must not become known to the observer. When an observer does not know the exact behaviors of a system it observes, a weaker notion of secrecy can be defined, which we introduce in this paper. We...
This paper presents a new approach to evaluation of registration using a general discriminative learning model that is independent of the type of registration method. We select features by association of a registration with a set of metrics (pixel based, patch based and histogram based statistics) and learn a classifier that discriminates mis-registrations from correct registrations using Adaboost...
In this paper, we propose a new and efficient cryptographic hash function based on random Latin squares and non-linear transformations. The developed scheme satisfies basic as well as desirable properties of an ideal hash function. Use of repeated lookup on Latin squares, non-linear transformations and complex shift operations further increase the strength of our cryptographic hash function at a low...
In this paper, an algorithm to solve the profit based unit commitment problem under deregulated environment has been proposed to determine the optimal generation schedule with maximum profit. Deregulation in power sector increases the efficiency of electricity production and distribution, offer lower prices, higher quality, a secure and a more reliable product. The proposed algorithm is developed...
Recently proposed techniques for peak power management involve centralized decision-making and assume quick evaluation of the various power management states. These techniques do not prevent instantaneous power from exceeding the peak power budget, but instead trigger corrective action when the budget has been exceeded. Similarly, they are not suitable for many-core architectures (processors with...
Microstrip antenna consists of a radiating patch on one side of dielectric substrate which has a ground plane on the other side. The antenna element it self may be square, rectangular, circular, triangular etc and may have more than one feed. An experimental study of dual band characteristics of single layer rectangular microstrip antenna is presented. For feeding of the antenna direct microstrip...
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