Showing papers on "Cognitive network published in 1992"

A Personal News Service Based on a User Model Neural Network

Abstract: New methods are needed for accessing very large information services This paper proposes the use of a user model neural network to allow better access to a news service The network is constructed on the basis of articles read, and articles marked as rejected It adapts over time to better represent the user’s interests and rank the articles supplied by the news service Using an augmented keyword search we can also search for articles using keywords in conjunction with the user model neural network Trials of the system in a USENET news environment show promising results for the use of this approach in information retrieval

The OSI 95 Connection-Mode Transport Service: The Enhanced QoS

Abstract: During the last ten years, tremendous changes have taken place in the communication environments. First, there has been a continuous increase in network performance that has led, for instance, to increasingly high access data rates available in the lower layers. Furthermore, the changes in the offered network services have raised the issue of providing, at the transport level, services already provided at the subnetwork level, such as multicast or synchronous services for example. With the arrival of new applications, such as multimedia or client/server applications, a widening of the application requirements has also been observed. It is this evolving environment that has been at the origin of the ESPRIT II Project OSI 95. An important task in the framework of this project is the definition of an enhanced Transport Service taking account of the aforementioned evolutions. The enhanced Transport Service specified for OSI 95 consists of several types of service. The paper presents the connection-mode Transport Service. We focus mainly on the following original features of our connection-mode service: a new semantics for QoS parameters and the associated negotiation and re-negotiation.. Keyword Codes: C.2.1; C.2.2; C.2.m

Network management in a large-scale OSI-based campus network using SNMP

Abstract: The authors expand on their experience in a practical network management system by using the simple network management protocol (SNMP) in the context of a large-scale open systems interconnection (OSI)-based campus-network. Various aspects of network management are examined and the importance of time is shown. The network management infrastructure comprises intelligent, time-synchronized agents and expert managers. Agents are deployed to collect information about the network segments to which they are attached. The expert manager talks to the agents and gathers relevant network information which is used in conjunction with a network knowledge base, to reconstruct the overall network traffic characteristic, to evaluate the status of the network and to take/suggest some action. The model allows some global control, monitoring and management without installing agents on all elements connected to the network. The use of time labels and narrow time windows enables the manager to obtain a reasonably accurate picture of the network status. The introduction of composite time-labeled objects reduces the burden of management traffic on the network. >

Integrating network and operations-a TINA perspective

Abstract: In order to be able to respond to changing market needs, there must be better integration of the service carrying network with its operation support systems. The Telecommunications Information Networking Architecture (TINA) forum is working toward this integration. Some current research activities relating to the integration of network and operations are presented, and an attempt is made to describe the impact on future operations systems. Particular emphasis is placed on operations for intelligent networks, open distributed processing (ODP), and the relationship between ODP and open systems interconnection (OSI). >

Cognitive networks for automated target recognition and autonomous system applications

Abstract: It is shown that in order to be truly cognitive a network must be nonlinear and dynamical and able to manifest bifurcation. This means it should be able to carry out phase-space computations with more than one type of attractor and to switch between these depending on whether the sensory input is familiar or novel. Cognition therefore implies bifurcation and computing with diverse attractors. Reasons for adopting this view, which stemmed from known biophysical observations and from neuromorphic target identification work, are discussed. An example of a cognitive network that computes with both stationary (limit point) and dynamic (periodic) attractors is given to illustrate the thesis presented. The elements of a neuromorphic radar target identification system which employs these concepts and is capable of distortion-invariant recognition of three targets with perfect score are presented. The role of periodic attractors in feature binding and cognition and the significance of cognition in autonomous systems are elucidated. >

Security services in the OSI reference model

Abstract: As open systems interconnection (OSI) technology establishes global standards for data communications, security is becoming an increasingly important issue for open systems and computer networks. This paper provides an overview of the OSI Reference Model, and discusses the placement of security services in this model.