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This paper investigates the output control problem of TCP/AQM network systems. Firstly, a linear closed-loop system is proposed for TCP/AQM network system by applying small signal analysis method. Then, by constructing a novel Lyapunov functional and applying Jensen's inequality and reciprocally convex approach to deal with the integral items, delay-dependent stability and stabilization criteria...
Torus, which is simple and incrementally expandable, could perfectly fit the scale-out model of current large scale computing systems, such as data centers. However, on the downside, torus suffers from its long network diameter. One way to address this problem is using random shortcuts. However, this approach does not consider the variety of data center traffic, and leads to severe non-uniform network...
It is increasingly difficult for the traditional fault diagnosis technologies to meet the complex and automation requirements of electronic equipments, so the combination of artificial intelligence technology has become a development direction of fault diagnosis. In the fault diagnosis, BP neural network has also been widely used. As for the deficiency of BP network, the paper presented an improved...
Traveling salesman problem (TSP) is a very hard and classical optimization problem in the field of operations research, and often-used benchmark for new optimization techniques. This paper will to bring up multi-agent approach for solving the TSP based on data mining algorithm, for the extraction of knowledge from a large set of TSP. The proposed approach supports the distributed solving to the TSP...
In wireless sensor networks (WSNs), secure data aggregation is an important application. Previous works are implemented by authentication among neighboring sensors. Considering that in many cases, data aggregation is both spatial and temporal correlation, this paper proposes a distributed and localized secure data aggregation algorithm based on behavior trust (BTDA). The security and reliability of...
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