Multiclass queueing networks have been used to model communication and complex manufacturing systems. Recent results show that these networks can be unstable in the sense that the total number of jobs in the network explodes as time goes to innnity even if the traac intensity at each station is less than unity. Simulation is used to demonstrate these unusual phenomena. Conjectures based on simu...

Multiclass queueing networks have been used to model communication and complex manufacturing systems. Recent results have shown that these networks can be unstable in the sense that the total number of jobs in the network explodes as time tends to in®nity even if the trac intensity at each station is less than unity. Simulation is used to demonstrate these unusual phenomena. Conjectures based ...

Simulated particle networks (different solid colors) in a strongly attractive suspension at low shear stress. The distribution of the typical cluster size transient regime is more fragmented, prompting unstable behavior suspension.

In networks with unstable links fragmentation of a message into smaller pieces before transmission can reduce message blocking due to disrupted transmission and increase the utilization of contact durations; thus increasing the connectivity of the network for large messages. In this paper, we formalize message fragmentation in such networks, investigate the impact of fragmentation on message fo...

9-nitrocamptothecin (9-nc) is a semisynthetic and a low soluble analogue of camptothecin alkaloids that target nuclear enzyme topoisomerase i. the unstable lactone form of 9-nc in biological fluids requires for its cytotoxic activity. to improve aqueous solubility and stability in biological media, 9-nc was loaded in polymeric nanoparticles. in this paper, we studied the effect of peg percent (...

Abstract.In this paper, a class of discrete-time complex-valued neural networks with time-varying delays and impulses are considered. Based on M-matrix theory and analytic methods, several simple sufficient conditions checking the global exponential stability are obtained for the considered neural networks. The obtained results show that the stability still remains under certain impulsive pertu...

Limitations of one-hidden-layer (shallow) perceptron networks to sparsely represent multivariable functions is investigated. A concrete class of functions is described whose computation by shallow perceptron networks requires either large number of units or is unstable due to large output weights. The class is constructed using pseudo-noise sequences which have many features of random sequences...

The objective of this work is to analyse performance of unstable mobile nodes with selforganization structures in Delay Tolerant Networks (DTN). This process enables the nodes to utilize their power fairly, and ensures that the links are established between nodes and used to improve the connectivity. In this paper two approaches are proposed: 1. Self-Healing (SH) and 2. Unstable Topology Struct...