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The incremental conductance (INC) algorithm is one of the most extensive maximum power point tracking (MPPT) techniques for photovoltaic (PV) system to make full utilization of solar energy. However, the conventional INC algorithm can't track the MPP for PV systems effectively in rapidly changing atmospheric conditions. A novel region partition MPPT algorithm based on variable step-size INC is proposed...
Because of poor performance of heuristic algorithms on virtual machine placement problem in cloud environments, a multi-objective constraint optimization model of virtual machine placement is presented, which taking energy consumption and resource wastage as the objective. We solve the model based on the proposed discrete firefly algorithm. It takes firefly's location as the placement result, brightness...
It is inclined to lose the tracking of a GPS receiver's carrier loop in noisy jamming or high dynamic environment, therefore, INS's velocity information is often used to expand the equivalent bandwidth of GPS receiver's tracking loop, reduce loop's bandwidth, improve high dynamic adaptability and Signal-noise ratio. However, because of the discretization of INS's velocity, the rapidly changing control...
We begin with overviews of the existing defects of the current Kerberos protocol and the shortage of the current improvement, and then we focus on the new method of the dynamic password and public key. On the basis of the original Kerberos protocol, firstly, we propose the usage of the Diffie-Hellman algorithm, and put the password in the token, then take the key which has added the dynamic factor...
Modeling on the dynamic behavior of wind farm accurately is the premise of studying the impact of large-scale wind power integrated into power system. Considering the difference problem of wind speed because of complex terrain and wind turbine units arranged irregularly in large wind farm, long-time scale measured data is chosen to be the cluster-dependent index. The wind turbine generators are divided...
Attribute reduction is a very important part of rough set theory. However, the cost of reduct computation is highly influenced by the size of object set and attribute set, so enhancing the reduct computation efficiency is one of the major problems. This paper proposes a reduction algorithm capable of reducing the time cost by using the binary discernibility matrix. Based on analyzing the binary discernibility...
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