Abstract Reducing the system failure rate of logistics service supply chain (LSSC) is the basic guarantee and supporting conditions of LSSC system operational stability. The paper, regarding the automobile logistics service supply chain system composed by logistics service integrators, logistics service providers and car manufacturer as the research object, sets up the fault tree model of the a...

A Complex Adaptive System (CAS) is a network of communicating, intelligent agents where each agent adapts its behavior in order to collaborate with other agents to achieve overall system goals. Further, the overall system often exhibits emergent behavior that cannot be achieved by any proper subset of agents alone. A graphical simulation library called Operational Evaluation Modeling for Contex...

Fuzzy Inference Systems (FIS) have the advantage of relying on the properties of Fuzzy Logic to represent imperfect information so gradually, and manipulate them from a linguistic description. This exibility of representation is more signi cant for the study of complex systems. Our aims are to propose a formal approach for describing FIS as a Discrete Event System (DES), and to extend a DES in ...

Nowadays one of the main problems of Intrusion Detection Systems (IDS) is the high rate of false positives that they show. The number of alerts that an IDS launches are clearly higher than the number of real attacks. This paper tries to introduce a measure of the IDS prediction skill in close relationship with these false positives. So the prediction skill of an IDS is then computed according t...

Wind power point forecasting is the primary method to deal with its uncertainty. However, in many applications, the probabilistic interval of wind power is more useful than traditional point forecasting. Methods to determine the probabilistic interval of wind power point forecasting value is very essential to power system operations. Based on the bootstrap method, this paper proposed a wavelet ...

--In B2B (Business-to-Business) E-Commerce companies depend eminently on the punctual fulfillment of orders given to their suppliers. It is a very time consuming and costly task to observe every order in a way that bad events can be detected instantaneously. This is especially true if there are many suppliers providing various parts and you also have to check the supply of the suppliers etc. So...

Automatic labeling of the action held by the players in a live-in sports video is the main motivation of this paper. In this paper, we proposed a fuzzy-based action recognition system from a basketball sports image. This paper deals with the intellectual sports event action recognition from a live video stream. It required an intelligent system which would automatically and semantically label t...

Modeling the event horizon of a black hole by a fuzzy sphere leads us to modify some suggestions in the literature concerning black hole mass spectra. We derive a formula for the mass spectrum of quantum black holes in terms of four integers which define the area, angular momentum, electric and magnetic charge of the black hole. Although the event horizon becomes a commutative sphere in the cla...

In this dissertation, the research is focused on the field of distributed multimedia systems (DMS). One of the main problems in DMS is the data synchronization. Synchronization is concerned with the preservation of temporal dependencies among the application data from the time of generation to the time of presentation. The synchronization problem can be characterized as an event ordering proble...

Estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. This study aimed to use the particle swarm optimization (PSO) algorithm for automatic calibration of the HEC-HMS hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...