共查询到20条相似文献，搜索用时 31 毫秒
1.
The n-dimensional locally twisted cube(LTQ_(n)) is a newly introduced interconnection network for parallel computing.First, the authors illustrate that there exists deadlock in the minimal routing algorithm.Second,by employing the common virtual network dividing technique,a new routing algorithm is presented,which is proved to be deadlock-free.By exploring the property that one LTQ_(n) consists of one n-1-dimensional hypercube(Q_(n-1)) and one n-1-dimensional 2-twisted cube(Q_(n1,2)),the authors apply the existing adaptive routing strategies for Q_(n-1) and Q_(n-1,2) to induce an adaptive routing scheme for LTQ_(n).So the algorithm can route adaptively in the Q_(n-1)0 or in the Q_(n-1,2)1. 相似文献
2.
The locally twisted cube is a newly topological structure of network. The authors we design a unicast fault-tolerant routing algorithm on the locally twisted cube by utilizing safety levels and the feature of the network. The performance of the proposed algorithm is evaluated through simulation experiments. When the number of faulty nodes reaches or exceeds half of the total, it can still achieve a quite high percentage of successful routing. An additional advantage of the routing algorithm is that it is highly probable that the selected route be a shortest route between the associated nodes. 相似文献
3.
The performance of a parallel and distributed system heavily depends on the effectiveness of the underlying interconnection network. Honeycomb networks are promising candidates for interconnection networks in parallel and distributed applications. This paper addresses the hamiltonicity of a hexagonal honeycomb torus (HHT) with a pair of faulty nodes lying diagonally on a cycle of length 6. We show that such a faulty HHT is hamiltonian by presenting a systematic method for constructing a fault-free hamiltonian cycle. This result reveals another appealing fault-tolerant feature of HHTs. 相似文献
4.
The inherent fault tolerance of multilayer neural networks (MLNs) is due to thedistributed properties of information processing and information storage in an MLN , and the inher-ent fault-masking capability of every neuron. Also,the concept of inherent fault tolerance of MLNsis formalized, Finally, perceptrons and three-layer nets are shown inherently fault tolerant underreasonable statistical conditions,respectively. 相似文献
5.
For the high density of distributed heterogeneity nodes in wireless sensor networks (WSNs), the optimal sensor deployment is studied. A cost optimal heterogeneous sensor deployment scheme based on genetic algorithm is proposed. The cost of sensor node deployment is used as objective function for optimization computation subjected to network coverage and fault tolerance to obtain the suitable types and positions of the sensors. The algorithm can be used for boolean sensing model as well as probabilistic sensing model. The simulation results demonstrate that the proposed algorithm converges fast toward the optimal solutions and reduces the cost of sensor deployment, which is feasible for heterogenous nodes deployment in WSNs. 相似文献
6.
Based on the neural networks, object oriented technique, artificial intelligence technique and computer networks, an intelligent fault diagnosis system of the power plant whose need of the operation is presented. The architecture of software system , hardware system and corresponding databases is designed. The software of collecting data is established. The intelligent fault diagnosis system based on neural networks and object oriented technique is also developed. The physical system operation has been shown that the method mentioned above is feasible and effective in practice. 相似文献
7.
An algorithm of fault section diagnosis based on topology identification for distribution networks is presented. By decomposing the topologic matrix which describing the distribution network into two parts,one part only contain the complex coupling factor ,and the other ignore the complex coupling factor. Using this method, the fault zones in distribution network can be identified and isolated efficiently, and the vertexes of the zones can also be identified automatically. This approach adapts to the changefully network structures. 相似文献
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9.
Addressing the problem of choosing a fault line under single phase to ground of distribution network, we presented a new criterion based on analysis of the development of fault line selection and a method using wavelet packets. The feature frequency band, or the combined feature frequency bands of each line, in which the transient capacity current was concentrated was chosen for maximum energy. Based on the principle that the transient capacity current's energy of the fault line was larger than the that of normal lines, fault line selection can be carried out adaptively by contrasting the energy of the transient capacity currents of all lines in each chosen frequency band. The simulation results and spot testing data shows the proposed method can detect the fault line in distribution networks precisely and reliably. 相似文献
10.
To overcome the limitations of the standard ellipsoidal unit neural networks, some new approaches used in ellipsoidal unit neural networks have been proposed. These new approaches address three main issues: firstly, to understand better and represent the nature of fault classification boundaries; secondly, to determine the network structure without the usual trial and error schemes; lastly, to avoid erroneous generalizations. The application in CSTR shows that the ellipsoidal unit networks can possess arbitrary nonlinear classifying ability, nonlinear interfacial describing ability, and obtain accurate and efficient diagnosis results. 相似文献
11.
Wang Kang Wu Zhongfu 《保鲜与加工》1992,(2):71-76
The interconnection of different kinds of computers is the main evalution direction of modern computer network. Sharing the data file is one of the target of implementing network interconnection. The paper wants to discuss how to rapidly transfer various files after implementing interconnection between the different kinds of computers and give a detailed implementing principle for file transfer and code conversion. 相似文献
12.
To solve the instability problem of established sample in the neural network evaluation method for mine ventilation system, a comprehensive evaluation of the ventilation system is carried out based on rough sets and BP neural networks. Taking the ventilation system of a mine as an example, the classification quality of raw data samples are tested by using rough set data analysis system. Then, based on artificial neural network theory, a rough sets-neural network evaluation model of a mine ventilation system is established and a new rough sets-neural network evaluation method of mine ventilation system is formed. The results show that, after the model validation of data and application, its theoretical evaluation results are in line with the actual situation, and the network total error is less than 0.004. It shows that the comprehensive evaluation method based on rough sets-neural networks has a good effect in evaluating mine ventilation system in practical application. 相似文献
13.
Some results are presen ted which related fault-tolerance degrees of a multibussystem with the con nectivity of the bipartite graph induced by the system. Using the best con nectivi-ty bipartitegraph. we also present two classes of multibus systems which have the best degree of busfault tolerance and the best degree of bus-processor fault toferance as well as better degree of proces-sor fault tolerance. 相似文献
14.
To the classified problem of the Galactophore Cancer Cell Identification, the paper researched the classified mechanism and optimized parameter for more-layer radial basis function (RBF) network, adopted the method of gradient descent with momentum and adaptive learned backpropagation, constructed the two-model of the Galactophore Cancer Cell Identification based on BP Neural-Network and RBF Network. Classified principle based on RBF Neural network was also discussed, and the method for data processing was studied. RBF network has more advantage, such as fault tolerance, nonlinear mapping, etc.. Experiment results show that, on the model based RBF Neural Network, performance is steady, training time is short and classified results are good. 相似文献
15.
The genetic basis of salt (NaCll tolerance at the seedling stage was examined in eight accessions of Sorghum bicolor (L.) Moench which differed in relative NaCl tolerance. The eight accessions were crossed in all possible combinations. The Nad tolerances of the resulting 56 F: hybrids and their eight parents were assessed after two weeks growth in solution cultures containing 0, 103, and 150mM NaCl. Indices of salt tolerance (relative tolerance) were used for analysis using the diallel method. Both additive and dominance effects appeared to be important for the expression of variation under low and high salinity levels, but the effect of genes with dominance properties was more pronounced. Estimates of narrow sense hentabilities for sail tolerance were appreciable, suggesting that rapid improvement in salinity tolerance is possible in this species using high selection pressures in the F2 population. 相似文献
16.
On the basis of fault diagnosis neural network model, in this paper, knowledge representation system of rough set theory is taken as a major tool to delaminate the complex neural network and in which unnecessary properties are eliminated. This method overcomes some shortcomings, such as network scale is too large and the rate of classification is slow. The good effect that reduces the matching quantity of pattern search in classification course is gotten. The structure and algorithm of layered-mining neural network model based on rough set theory are also given. The example shows that this system has higher reference value in practical application. 相似文献
17.
A new principle and scheme of a Feeder Automation based system protection using the channel of communication is proposed. The conjoint protection devices exchanging fault signal with direction information and the fault can be cleared instantly. These information can hel Pto isolate the fault zone and restructure the network rapidly. The recover is used for instantaneous faults. The optical MODEM disjoins the SCADA communication and Boolean signals functions using coding technology. So the fault flags can be exchanged rapidly peer-to-peer and special optical cables are not needed. Frames between optical MODEM are sent automatically. This scheme presented is successful through physical simulation experiment and has operated for about two years in a real distribution network. 相似文献
18.
A type of handhold computer that has been researched successfully is introduced as the application case and practical usage effect about fault tolerance technology in the machine. At the meantime, it can be as a usage for reference while the same type of machine brings in fault tolerance technology in order to increase its reliability. So, it has greater availability and extended character. 相似文献
19.
It is an important way for co production efficiency improvement and system robustness to deeply understand the relationship between the structure and function of interfirm collaborative production networks (ICPN) . This paper develops the topological model for ICPN based on the analysis of the characteristics of interfirm collaborative production modes. By introducing complex networks, a case of Polyurethane industry is simulated. The results show that ICPN has the characteristics of small world, scale free and centralities of nodes. Moreover, complex network characteristics affect the capability and efficiency of production system. 相似文献
20.
As a kind of complex power machinery, diesel engine is being paid more and more attention to its condition monitoring and fault diagnosis technology. In the fault diagnosis field of diesel engine, the technique of signal process, character abstraction and identification method have formed a system, but there is a certain distance away from practical. This paper analyzes the common faults and influencing factor of diesel engine. The principle, characteristic and disadvantage of modern fault diagnosis technology, such as various time-frequency methods based on vibration signal, speed fluctuation method, iron content and spectrometry, grey system theoretical diagnosis method, artificial neural network and expert system fault diagnosis method, were reviewed. The difficulties and the development direction of diesel engine fault diagnosis were put forward in the end. 相似文献