It is well known that space and time complexity is one of the main bottlenecks of supervisor synthesis. The model of a large system is usually too big to be explicitly expressed, owing to composition of local componen...
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It is well known that space and time complexity is one of the main bottlenecks of supervisor synthesis. The model of a large system is usually too big to be explicitly expressed, owing to composition of local components' models, making supervisor synthesis difficult, if still possible. In this paper, we propose a distributed supervisor synthesis approach, where instead of computing a model of the entire system, a local abstraction of the system with respect to each local component is computed based on weak bisimulation. Then a local supervisor for each component is computed based on the component model and the abstract system model, by using well developed centralized supervisor synthesis approaches. The collection of all resulting local supervisors forms a distributed supervisor
Critical embedded systems need a dependable operating system and application. Despite all efforts to prevent and remove faults in system development, residual software faults usually persist. Therefore, critical syste...
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Critical embedded systems need a dependable operating system and application. Despite all efforts to prevent and remove faults in system development, residual software faults usually persist. Therefore, critical systems need some sort of fault tolerance to deal with these faults and also with hardware faults at operation time. This work proposes fault-tolerant support mechanisms for the BOSS embedded operating system, based on the application of proven fault tolerance strategies by middleware control software which transparently delivers the added functionality to the application software. Special attention is taken to complexity control and resource constraints, targeting the needs of the embedded market
This paper introduces a system model of CDMA stress testing service platform based on state machine technology. This system provides an efficient service oriented solution on protocol and stress testing of CDMA system...
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This paper introduces a system model of CDMA stress testing service platform based on state machine technology. This system provides an efficient service oriented solution on protocol and stress testing of CDMA system, with high performance and automatic capability. The concurrent multitask mechanism and the state machine framework enable the high performance and automatic capability of this system. And the scalable distributed architecture offers the maximum flexibility of deployment
A new token-passing algorithm called AR-TP for avoiding the non-determinism of some networking technologies is presented. This protocol allows the schedulability analysis of the network, enabling the use of standard E...
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ISBN:
(纸本)9781424400546
A new token-passing algorithm called AR-TP for avoiding the non-determinism of some networking technologies is presented. This protocol allows the schedulability analysis of the network, enabling the use of standard Ethernet hardware for hard real-time behavior while adding congestion management. It is specially designed for high-integrity distributed hard real-time systems, being fully compliant with the Ravenscar profile
As the rapid increase of network security events, network security monitoring and management on network behavior become more and more focused in the fields of computer science. This paper develops a kind of network se...
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As the rapid increase of network security events, network security monitoring and management on network behavior become more and more focused in the fields of computer science. This paper develops a kind of network security management framework using collection, analysis and integration, event-correlation and scenario-analysis technique to process the raw data gathered from hybrid network. Data-mining and wavelet technology are introduced into this framework, which can rapidly identify the types of security events from integrated information by using frequent episodes, wavelet and case-based reasoning. By these means, it can help to analyze the status of network security and then adjust the strategy to secure the network. We have implemented a prototype system following this framework, which can rapidly react to typical security events with visual output of result
In this paper, we present a tool devised for the automatic design and optimization of bioinspired visual processing models using reconfigurable hardware. We have focused on the simulation and optimization characterist...
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In this paper, we present a tool devised for the automatic design and optimization of bioinspired visual processing models using reconfigurable hardware. We have focused on the simulation and optimization characteristics of our system. We also present a retina-like processing system based on a PCI-based FPGA board as an example. The whole system is intended for the design and analysis of real-time vision processing schemes. The top-down design path of our system involves a high level synthesis scheme while allowing different strategies for optimizing the system via the CodeSimulink codesign tool
The design of specific computing datapaths for early cognitive vision tasks (such as local features, motion and stereo) allows very efficient processing architectures that achieve outstanding performance rates. In thi...
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The design of specific computing datapaths for early cognitive vision tasks (such as local features, motion and stereo) allows very efficient processing architectures that achieve outstanding performance rates. In this paper we describe how high performance cores for different vision modalities can be integrated on a single chip. We briefly describe the full system and the hardware consumption of each module. The paper also highlights the necessity of on-chip integration mechanisms since the datathroughput of the full system becomes hardly manageable by any other target processing platform. On-chip integration mechanisms become necessary if we address hybrid systems in which higher abstraction level models are simulated on conventional computers, while early cognitive tasks are computed taking advantage of the presented specific purpose datapaths.
This paper describes a simple system that can be used for autonomous demand-side management in a load site such as a home or commercial facility. The system identifies the operation of individual loads using transient...
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This paper describes a simple system that can be used for autonomous demand-side management in a load site such as a home or commercial facility. The system identifies the operation of individual loads using transient patterns observed in the voltage waveform measured at an electric service outlet. The theoretical foundation of the measurement process is introduced, and a preprocessor that computes short-time estimates of the spectral content of the voltage waveform is described. The paper presents several example measurements demonstrating the ability of the system to obtain estimates of the spectral content of the voltage waveform.
A new approach to two-dimensional evaluation of the queueing network equilibrium, based on calculations of the steady-state probability vector with use of neural modeling and clustering, is considered in this paper. T...
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A new approach to two-dimensional evaluation of the queueing network equilibrium, based on calculations of the steady-state probability vector with use of neural modeling and clustering, is considered in this paper. The equilibrium of queueing networks is a mean for performance evaluation of real communication systems presented as Markov chains. The experimental results were obtained with use of clustering analysis and self-organizing map, and the proposed method was compared with direct techniques on the base of obtained results
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