In order to eliminate limitations of conventional modeling and dynamic prediction methods, multilayer dynamic forward networks are considered as the models of oil field systems, the prediction models and technology of...
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In order to eliminate limitations of conventional modeling and dynamic prediction methods, multilayer dynamic forward networks are considered as the models of oil field systems, the prediction models and technology of multilayer dynamic forward networks are studied. The deficiency of a recursive prediction error learning algorithm is analysed. An improvement scheme is given. So, the algorithm performance is improved. Thus the method of modeling and prediction for an oil field is renewed. During using the new scheme, excellent results have been obtained which proves that the new scheme is very effective.
The primary goal of the Multimedia Router (MMR) project is the design and implementation of a router optimized for multimedia applications. The router is targeted for use in cluster and LAN interconnection networks wh...
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The primary goal of the Multimedia Router (MMR) project is the design and implementation of a router optimized for multimedia applications. The router is targeted for use in cluster and LAN interconnection networks which offer different constraints and therefore differing router solutions than WANs. This paper describes and evaluates a switch scheduling algorithm based on a priority biasing scheme for dynamically updating the priorities of the connections established through the router. Unlike existing schemes that simply use the age of a flit as its priority, the novel feature of the proposed approach is that the priority is biased using the measured quality of service (QoS) values for the connection. Furthermore, the structure of the switch scheduling algorithm is motivated by opportunities for pipelined and concurrent operation so that scheduling decisions could be made at switching speeds. The performance of two of the many possible biasing functions is evaluated.
As IPC mechanisms become faster, stub-code efficiency becomes a performance issue for local client/server RPCs and inter-component communication. Inefficient and unnecessary complex marshalling code can almost double ...
As IPC mechanisms become faster, stub-code efficiency becomes a performance issue for local client/server RPCs and inter-component communication. Inefficient and unnecessary complex marshalling code can almost double communication costs. We have developed an experimental new IDL compiler that produces near-optimal stub code for gcc and the L4 microkernel. The current experimental IDL4 compiler cooperates with the gcc compiler and its x86 code generator. Other compilers or target machines would require different optimizations. In most cases, the generated stub code is approximately 3 times faster (and shorter) than the code generated by a commonly used portable IDL compiler. Benchmarks have shown that efficient stubs can increase application performance by more than 10 percent. The results are applied within IBM's SawMill project that aims at technology for constructing multi-server operating systems.
If we are stepping out of windows (of the GUI kind), what are we stepping into? We suggest it is into cooperative buildings. For the foreseeable future, at least, we can identify two major characteristics of the coope...
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If we are stepping out of windows (of the GUI kind), what are we stepping into? We suggest it is into cooperative buildings. For the foreseeable future, at least, we can identify two major characteristics of the cooperative building. The spaces of the building will be augmented in various ways, providing an ambient environment that bridges spatial discontinuities in workgroups and provides a continuous window into the state of the virtual world. Secondly, the ways in which the spaces themselves are used will evolve to be more congruent with the fluid, dynamic and distributed nature of the work taking place in the building. These two characteristics are deeply interconnected. This evolution need not happen entirely in the physical world; the essence of a cooperative building will become the way in which it mixes both physical and virtual affordances to support the workaday activities of its inhabitants.
We describe the design and implementation of automated methodologies and tools that facilitate the implementation of an enhanced maintenance process in order to provide improved quality of service offered to the custo...
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We describe the design and implementation of automated methodologies and tools that facilitate the implementation of an enhanced maintenance process in order to provide improved quality of service offered to the customers for the transaction access services (TAS) network. The emphasis of our work is placed on the identification, filtering and correlation of event occurrences that indicate problems that do not necessarily generate alarmed conditions on the conventional network management systems, and on the proactive service/fault management and detection based on dynamically defined violations of the base-lined performance profiles. Such an approach enhances considerably the network management and maintenance process, by identifying possible situations/incidents that may affect the network performance, and by correlating those incidents to the potentially affected elements, services and customer applications.
We propose a modified radial basis function network (RBF) in which the main characteristics are that: a) the gaussian function is modified using pseudo-gaussian (PG) in which two scaling parameters o are introduced;b)...
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This paper presents an approach to obtain a fuzzy system automatically from numerical data. The identification of the fuzzy system structure (number of rules and membership functions in each input variable) and the op...
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This paper presents an approach to obtain a fuzzy system automatically from numerical data. The identification of the fuzzy system structure (number of rules and membership functions in each input variable) and the optimization of the parameters defining it are performed jointly. Starting from an initially simple fuzzy system, the numbers of membership functions in the input domain and of rules are adapted in order to reduce the approximation error. This method has the advantage that it does not require the human expert's assistance since the input-output characteristics of the fuzzy system and its structure are obtained from the training examples.
This paper presents a new methodology to achieve real time self tuning and self-learning in fuzzy controllers. The advantage of this approach is that it only requires qualitative information about the plant to be cont...
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This paper presents a new methodology to achieve real time self tuning and self-learning in fuzzy controllers. The advantage of this approach is that it only requires qualitative information about the plant to be controlled, in terms of the monotony presented by the output with respect to the control signal and delays of the plant. Thus, it is capable of controlling highly nonlinear systems, in a pseudo-optimum way, even when these are time variable. Control is achieved by means of two auxiliary systems: the first one is responsible for adapting the consequences of the main controller to minimize the error arising at the plant output, while the second auxiliary system compiles real input/output data obtained from the plant. The system then learns from these data, adapting both the consequences of the rules and the parameters that define the membership functions, taking into account, not the current state of the plant but rather the global identification performed.
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