Congestion occurs frequently in Networks-on-Chip when the packets demands exceed the capacity of network resources. Congestion-aware routing algorithms can greatly improve the network performance by balancing the traffic load in adaptive routing. Commonly, these algorithms either rely on purely local congestion information or take into account the congestion conditions of several nodes even though their statuses might be out-dated for the source node, because of dynamically changing congestion conditions. In this paper, we propose a method to utilize both local and non-local network information to determine the optimal path to forward a packet. The non-local information is gathered from the nodes that not only are more likely to be chosen as intermediate nodes in the routing path but also provide up-to-date information to a given node. Moreover, to collect and deliver the non-local information, a distributed propagation system is presented.

No abstract

No abstract

Problem statement: Moment Resisting Frame (MRF) is widely used as lateral resisting systems when sufficient ductility and deformability are to be met. Response of these structures is strictly dependent upon behavior of their joints, whereas the analysis of steel moment resisting frames generally has been performed without considering the accurate connection behavior. Approach: In this study Finite Element (FE) models had been developed to obtain the moment-rotation relations of theoretically fixed connection types which were widely utilized in Iran. Using moment-rotation relation obtained from FE analysis, 2D global structural model of MR buildings were developed afterwards to evaluate the behavior of the structures globally. Nonlinear static and dynamic analyses were carried out subsequently to investigate the structural behavior of MRFs having built-up column sections. Results: The results proved considerable effects of beam column connection behavior on nonlinear response of structures. Conclusion/Recommendations: It was recommended to consider the effects of connection properties in analysis and design of the MRF.

The acceptability and also the acceleration ofrenewable energy technologies is tightly linked with a betterunderstanding of dynamic behavior of drive train componentsand their interactions. This ultimate understanding of systemcharacteristics can only be achieved with comprehensiveexperimental investigations on different phenomena of largeelectrical generators. This leads consequently to a betterverification of numerical and analytical models of largegenerators. The large generator-converter lab which is discussedin this paper is a unique opportunity for deep experimentalinvestigations on large hydro and wind generators. It is designedto deal with the current as well as future research topics in thefield of wind and hydro generators and their interactions withpower electronic devices and electrical grid.

A multilevel ant algorithm is developed to optimize thedesign process of a surface mounted permanent magnetsynchronous motor. The motor properties are calculated using anexact magnetic equivalent circuit based analytical model. Thismodel takes into account the iron saturation, the slot stray fluxesand the spatial harmonics of rotor and stator fluxes. Theeffectiveness of the proposed analytical model is verified incomparison with measurement of a handmade prototype. Basedon this analytical model the air gap flux density, torque andinduced voltage of the prototype motor are predicted. For aneffective selection of motor parameters, a multipurposeoptimization algorithm is developed, which is based on thedistributed multilevel ant-stigmergy algorithm. The analyticalmodel together with the optimization algorithm represents a veryeffective tool for design of permanent magnet synchronous motorwithout any need for time consuming finite element programs.

No abstract

No abstract