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Regarding order arrival obeying Poisson flow and general service distribution of single picking servicer as M/G/1 random service system, the efficiency optimal problem of manual order picking system is studied. Picking route stochastic model under random storage S-type picking condition is built. It makes model approximation calculation with simulation result under order random arrival frequencies...
Estimation of single-carrier communication channels based on superimposed training (ST) has been widely studied in the last years, because it offers a way for estimating the channel without the transmission of a pilot sequence multiplexed in time with the data, which implies a saving of valuable bandwidth. In this paper, the use of a variation of ST known as data-dependent superimposed training (DDST)...
In this paper, we propose a novel localization algorithm in Wireless Sensor Network. The proposed method is a kind of range-free localization algorithm which only uses the proximity information between sensor nodes. In the proposed method, a robust weighted algorithm is presented to calculate the average hop distances between sensor nodes and anchor nodes. The proposed method is applied to an isotropic...
Localization is an important research issue in Wireless Sensor Networks (WSNs). Recently, hop-count-based localization has been proposed as a cost-effective alternative to range-based localization algorithms. Traditionally, hop-counts between any pair of nodes can only take on integer values regardless of relative positions of nodes in the hop. We show that by partitioning a node's one-hop neighbor...
Dual EKF which is suitable for simultaneously on-line estimating states and parameters of nonlinear systems is applied to the rotor resistance and rotor flux on-line simultaneous estimation problem of vector control system of induction machines. Based on dual EKF, a self-tuning vector control system with higher performances is established. Simulation results show that the proposed scheme is effective...
Kim and Nelson (2005) developed two indifference-zone procedures for steady-state simulation where the goal is to find the system with the largest or smallest expected steady-state performance measure. One of the procedures, called KN++, updates a variance estimate as more observations become available and is proven to be asymptotically valid when there is no dependence across systems (for example,...
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