This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RSs) known for their high throughput performance flexibility. Compared to a single-deep system, AVS/RS has better space area utilisation. However, relocation cycle occurs, reducing the whenever another stock keeping unit (SKU) blocks retrieving SKU. The SKU sequence is undetermined, meaning that arrangement un...

We report on the quantum storage and retrieval of photonic polarization quantum bits onto and out of a solid state storage device. The qubits are implemented with weak coherent states at the single photon level, and are stored for a predetermined time of 500 ns in a praseodymium doped crystal with a storage and retrieval efficiency of 10%, using the atomic frequency comb scheme. We characterize...

In this paper we present techniques for efficient speaker recognition of a large population of speakers and for efficient speaker retrieval in large audio archives. We deal with aspects of both time and storage. We use Gaussian mixture modeling (GMM) for representing both train and test sessions and show how to perform speaker recognition and retrieval efficiently with only a small degradation ...

Recommendation-based reputation assessment in peer-to-peer systems relies on recommendations in predicting the reputation of peers. In this paper, we discuss the effectiveness and cost metrics in the recommendation retrieval. We evaluate the following retrieval methods: flooding, recommendation tree, and the storage peer. The simulation results show that overlay network construction significant...