This paper presents the design, implementation and evaluation of Limiting Greedy Connections (LGC), an active mechanism for controlling unresponsive connections and minimizing the degradation in network performance caused by bandwidth greedy applications. The primary objectives of the LGC mechanism are to limit the impact of greedy connections on a congested node, to keep a loose upper bound on...

When TCP is carried over 3G links, overbuffering and buffer overflow at the RLC layer degrades its performance. AQM techniques at the RLC buffer can bring noticeable enhancements to TCP performance without introducing changes in 3G specifications. We show that the optimum parameter setting of AQM algorithms in RLC buffers is strongly related to the radio bearer rate, which can be changed dynami...

Colloidal quantum dots offer broad tuning of semiconductor band structure via the quantum size effect. In this paper, we present a detailed investigation on the influence of the thickness of colloidal lead sulfide (PbS) nanocrystals (active layer) to the photovoltaic performance of colloidal quantum dot solar cells. The PbS nanocrystals (QDs) were synthesized in a non-coordinating solvent, 1-oc...

It is often useful to examine MIB objects of a faulty agent in order to determine why it is faulty. This paper presents a new framework for semi-active replication of SNMP management objects in local area networks. The framework is based on groups of agents that communicate with each other using reliable multicast. A group of agents provides fault-tolerant object functionality. A SNMP service i...

Current era is to make the interaction between humans and their artificial partners (Computers) and make communication easier and more reliable. One of the actual tasks is the use of vocal interaction. Speech recognition may be improved by visual information of human face. In literature, the lip shape and its movement are referred to as lip reading. Lip reading computing plays a vital role in a...

Log-polar mapping has been proposed as a very appropriate space-variant imaging model in active vision applications. This biologically inspired model has several advantages, and facilitates some visual tasks. For example, it provides an efficient data reduction, and simplifies rotational and scaling image transformations. However, simple translations become a difficult transform due to the log-...

In this paper we discuss the issues that a network adaptive application faces on current network infrastructure and the role a programmable network such as the active network can play in facilitating them. We present a novel cognizant video transcoding system, which is capable of negotiating local network state based rate and let the video propagate over extreme network with highly asymmetric l...

Artificial neural network (ANN) is a very useful tool in solving learning problems. Boosting the performances of ANN can be mainly concluded from two aspects: optimizing the architecture of ANN and normalizing the raw data for ANN. In this paper, a novel method which improves the effects of ANN by preprocessing the raw data is proposed. It totally leverages the fact that different features shou...

For deployment of active network technology, active network applications play an important role. They should show good performance to users even under the condition that a small number of routers are equipped with active network technology. From performance aspects, crossing point of performance of active network application and end-to-end approach is very important. An active network applicati...