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Physical Sciences and Mathematics Commons™
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- Accretive construction (1)
- Agent interaction topology (1)
- Anomaly detection (1)
- Answer Set Programming (1)
- Confidence measurement (1)
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- Evolutionary Algorithms (1)
- GMPLS (1)
- Hierarchical collective agent network (1)
- Hyperellipsoidal clustering (1)
- Information service management (1)
- MPLS (1)
- Multi-agent systems (1)
- Multicast (1)
- Multiobjective Optimization (1)
- Neural networks (1)
- Propositional Satisfiability (1)
- Self-organizing map (SOM) (1)
- Software agents (1)
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Min–Max Hyperellipsoidal Clustering For Anomaly Detection In Network Security, Suseela T. Sarasamma, Qiuming Zhu
Min–Max Hyperellipsoidal Clustering For Anomaly Detection In Network Security, Suseela T. Sarasamma, Qiuming Zhu
Computer Science Faculty Publications
A novel hyperellipsoidal clustering technique is presented for an intrusion-detection system in network security. Hyperellipsoidal clusters toward maximum intracluster similarity and minimum intercluster similarity are generated from training data sets. The novelty of the technique lies in the fact that the parameters needed to construct higher order data models in general multivariate Gaussian functions are incrementally derived from the data sets using accretive processes. The technique is implemented in a feedforward neural network that uses a Gaussian radial basis function as the model generator. An evaluation based on the inclusiveness and exclusiveness of samples with respect to specific criteria is …
An Approach To The Optimization Of Convergent Networks On Ip/Mpls With An Optical Gmpls Backbone In Multicast, Yezid Donoso, Carolina Alvarado, Alfredo J. Perez, Ivan Herazo
An Approach To The Optimization Of Convergent Networks On Ip/Mpls With An Optical Gmpls Backbone In Multicast, Yezid Donoso, Carolina Alvarado, Alfredo J. Perez, Ivan Herazo
Computer Science Faculty Publications
This paper shows the solution of a multiobjective scheme for multicast transmissions in MPLS networks with a GMLS optical backbone using evolutive algorithms. It has not been showed models that optimize one or more parameters integrating these two types of networks. Because the proposed scheme is a NP-Hard problem, an algorithm has been developed to solve the problem on polynomial time. The main contributions of this paper are the proposed mathematical model and the algorithm to solve it.
Answer Set Programming Based On Propositional Satisfiability, Enrico Giunchiglia, Yuliya Lierler, Marco Maratea
Answer Set Programming Based On Propositional Satisfiability, Enrico Giunchiglia, Yuliya Lierler, Marco Maratea
Computer Science Faculty Publications
Answer set programming (ASP) emerged in the late 1990s as a new logic programming paradigm that has been successfully applied in various application domains. Also motivated by the availability of efficient solvers for propositional satisfiability (SAT), various reductions from logic programs to SAT were introduced. All these reductions, however, are limited to a subclass of logic programs or introduce new variables or may produce exponentially bigger propositional formulas. In this paper, we present a SAT-based procedure, called ASPSAT, that (1) deals with any (nondisjunctive) logic program, (2) works on a propositional formula without additional variables (except for those possibly introduced …
Topologies Of Agents Interactions In Knowledge Intensive Multi-Agentsystems For Networked Information Services, Qiuming Zhu
Topologies Of Agents Interactions In Knowledge Intensive Multi-Agentsystems For Networked Information Services, Qiuming Zhu
Computer Science Faculty Publications
Agents in a multi-agent system (mAS) could interact and cooperate in many different ways. The topology of agent interaction determines how the agents control and communicate with each other, what are the control and communication capabilities of each agent and the whole system, and how efficient the control and communications are. In consequence, the topology affects the agents’ ability to share knowledge, integrate knowledge, and make efficient use of knowledge in MAS. This paper presents an overview of four major MAS topologic models, assesses their advantages and disadvantages in terms of agent autonomy, adaptation, scalability, and efficiency of cooperation. Some …