In order to resolve the modeling method of logistics network, a basic model named NGM is presented. According to some special characteristics of the real logistics network such as growth, preferential attachment, edge-weighted, and clustering, the basic model is improved and optimized. The modeling method of logistics is analyzed and simulated too. The results of the simulation show that the modeling method is more effective than the traditional logistics modeling theories.
Obtaining the fault information online may eliminate many potential fatal accidents, in order to inspect and resolve the online fault diagnosis problem in process industry, an online fault diagnosis model based on IoT(Internet of Things) is proposed in the paper. the model is composed as four layer of user layer, application layer, basic technology layer and resources layer, and it can use the resources effectively such as virtual organizations, entity organization, equipment, network resources and so on, the basic technologies such as Internet of things, multiple information collection, knowledge engineering and application technologies were analyzed in the paper too. Finally, an application system is developed, and it proved the model is validity and correctness.
The cooperator’s optimal selection is a difficulty in manufacturing supply chains, but the complex networks developed rapid recent year provide us a new method. It proposed a probability distribution model for optimal selecting cooperator in supply chains. Analyzed the growth of Manufacturing Supply Chain Network Relationship Graph (MSCNRG) firstly, and put forward a probability distribution function consisted with degrees, relationships and conditions of the vertices; some experiments were carried out to check the model. The results of probability distribution model provide a novel method to analyze the optimal selecting cooperators in supply chains.
the cloud-based service is a new type service way to provide the users in distributed environment, but the service model troubles it popularizing. Aiming at the problem, an indirect addressing service method is proposed in the paper. It analyzed the new problems serving in cloud firstly, then comes out a recourse and service invoking model based on indirect addressing, gave out the service actors of the model in detail, studied the package method of the cloud interfaces, produce the knowledge step in the indirect addressing mode of resources distribution. The analysis proves the method with some advantages, and it proposes a new way to settle the service problem in cloud.
The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault, but the structural representation and the knowledge reasoning problem are troubled that we use the historical records effectively. Aiming at the problem, the fault knowledge representation based on ontology is put forward out. Firstly, the knowledge characteristics, the ontology building significance and principle of fault are analyzed. Secondly, the fault ontology is defined and described. Finally, the applications of fault diagnosis ontology are studied in protégé. The case study shows that the fault knowledge representation based on ontology is very intuitive and efficient; it can provide us a novel way to deal with the fault diagnosis problem.
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