by NS2 Simulator Project Team | Oct 13, 2015 | Computer Networking Projects for Engineering Students
Air pollution has become one of the most pressing environmental issues in many countries, including China. Finegrained PM2:5 particulate data can prevent people from long time exposure and advance scientific research. However, existing monitoring systems with PM2:5... by NS2 Simulator Project Team | Oct 13, 2015 | Computer Networking Projects for Engineering Students
As an emerging system architecture, heterogeneous cloud radio access networks (H-CRANs) can improve system capacity, enlarge coverage, and enhance energy/spectral efficiency. Meanwhile, this newborn architecture also brings many open problems for traditional topics,... by NS2 Simulator Project Team | Oct 13, 2015 | Computer Networking Projects for Engineering Students
This paper presents a new system dedicated for in vitro study of neuron networks to mimic neurodegenerative diseases. It is designed to modulate neurotransmitter concentration in a local area of the neuron network with dielectrophoretic manipulations. Particle motion... by NS2 Simulator Project Team | Oct 13, 2015 | Computer Networking Projects for Engineering Students
Design of power delivery system has great influence on the power management in many-core processor systems. Moving voltage regulators from off-chip to on-chip gains more and more interest in the power delivery system design, because it is able to provide fine-grained... by NS2 Simulator Project Team | Oct 13, 2015 | Computer Networking Projects for Engineering Students
In Ingress spatial index (Hilbert R-link tree) algorithms, a search operation (window query or exact-match query) and an update operation (insert or delete) S-lock one page at a time during index traversal. Then the target leaf pages are locked in S mode for fetching... by NS2 Simulator Project Team | Oct 13, 2015 | Computer Networking Projects for Engineering Students
A Gaussian or log-linear mixture model trained by maximum likelihood may be trained further using discriminative training. It is desirable that the mixture splitting is also done during the discriminative training, to achieve better mixture density distribution. In...