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In this interdisciplinary study a novel hybrid forecasting system is presented, in which an isotropic buffer operator is applied for case-based creation within the structure of the organization-based multi-agent system. Commonly used as an image analysis technique by commercial Geographic Information Systems (GIS), the buffer operator in this particular system calculates the area of a forest fire...
A novel bio-inspired computational high-precision dental milling system is proposed in this interdisciplinar research. The system applies several bio-inspired models, based on unsupervised learning, that analyse and identify the most relevant features of high-precision dental-milling data sets and their internal structures. Finally, a supervised neural architecture and certain identification techniques...
This study presents a novel bio-inspired method, based on gain scheduling, for the calculation of Proportional-Integral-Derivative (PID) controller parameters that will prevent system instability. The aim is to prevent a transition to control system instability due to undesirable controller parameters that may be introduced manually by an operator. Each significant operation point in the system is...
An Enterprise Resource Planning (ERP) system is a highly complex, large, multi-task application that is used to manage production in companies and factories. It monitors and tracks every aspect of all factory-based manufacturing processes. The integration of ERP and Business Process Management (BMP) systems facilitates information sharing between both systems. It represents one of the main challenges...
This paper present a class of investment problem, in which many items could be chosen in a group decision environment. Usually there is a decision table from the board of directors after discussions. Most of the data come from their experience or estimation. The information is redundant and inaccurate. Swarm-based rough set approach is introduced to make an attempt to solve the problem. Rough set...
A new organization based system for oceanographic monitoring (OBSOM) is presented in this paper. The OBSOM core system is based on the case-based reasoning methodology, and it is able to generate a prediction about ocean conditions in certain areas of the ocean. CBR uses historical data to create new solutions to current problems. The system employs a distributed multi-agent architecture so that the...
This study presents a research that identifies and applies unsupervised connectionist models in conjunction with modelling systems, in order todetermine optimal conditions to perform laser milling of metallic components. This industrial problem is defined by a data set relayed through sensors situated on a laser milling centre that is a machine-tool used to manufacture high value micro-molds and micro-dies...
Intrusion detection systems (IDS's) ensure the security of computer networks by monitoring traffic and generating alerts, or taking actions, when suspicious activities are detected. This paper proposes a network-based IDS supporting an intuitive visualization of the time evolution of network traffic. The system is designed to assist the network manager in detecting anomalies, and exploits auto-associative...
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