We propose a novel method called the Relevance Subject Machine (RSM) to solve the person re-identification (re-id) problem. RSM falls under the category of Bayesian sparse recovery algorithms and uses the sparse representation of the input video under a pre-defined dictionary to identify the subject in the video. Our approach focuses on the multi-shot re-id problem, which is the prevalent probl...

The development of World Wide Web requires a semantic data model to effectively manage the contents of its heterogeneous resources. This challenges traditional data models, which are mainly for managing structured resources or relatively simple data objects. Classification is one of the most basic methods to organize and manage resources in the real world. The Resource Space Model RSM is a sema...

Multiple responses must usually be considered when designing or developing complex products/processes. Therefore, simultaneously optimizing multiple responses is of priority concern for manufacturers hoping to gain a competitive advantage. Design of experiments (DOE) is extensively adopted in industry for determining an optimal parameter-setting or enhancing product quality. However, DOE can on...

For any Lie algebra of classical type or type G 2 we define a K-theoretic analog of Dunkl's elements, the so-called truncated Ruijsenaars-Schneider-Macdonald elements, RSM-elements for short, in the corresponding Yang-Baxter group, which form a commuting family of elements in the latter. For the root systems of type A we prove that the subalgebra of the bracket algebra generated by the RSM-elem...

The enzyme D-galactose dehydrogenase (GalDH) has been used in diagnostic kits to screen blood serum of neonates for galactosemia. It is also a significant tool for the measurement of β-D-galactose, α-D-galactose and lactose as well. In this study, response surface methodology (RSM) was used to identify the suitable conditions for recovery of recombinant GalDH from Pseudomonas fluorescens in aqu...

The present study aimed to develop the predictive models of average tool-workpiece interface temperature in hard turning of AISI 1060 steels by coated carbide insert. The Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to predict the temperature in respect of cutting speed, feed rate and material hardness. The number and orientation of the experimental trial...

State machine replication is a common approach for building fault-tolerant services. A Replicated State Machine (RSM) typically uses a consensus protocol such as Paxos [1] to decide on the order of updates and thus keep replicas consistent. Using Paxos, the RSM can continue to process new requests, as long as more than half of the replicas remain operational. If this bound is violated, however,...

The reluctance synchronous motor (RSM) is a machine working on the basis of development of reluctance torque development. The rotor configuration with the salient poles is made from the rotor of asynchronous motor if some rotor teeth are symmetrically removed (mill out). A different air gap in d and q axis enables development of a reluctance torque. The rotor cage is asymmetrical because some b...

The interconnection networks and the communication system software in clusters of multiprocessors are critical to achieving high performance. Recently, Sun Microsystems has introduced a new system area network, Sun Fire Link interconnect, for its Sun Fire cluster systems with some performance results at the MPI level. Sun Fire Link is a memory-based interconnect with layered system software com...

For any Lie algebra of classical type or type G 2 we define a K-theoretic analog of Dunkl's elements, the so-called truncated Ruijsenaars-Schneider-Macdonald elements, RSM-elements for short, in the corresponding Yang-Baxter group, which form a commuting family of elements in the latter. For the root systems of type A we prove that the subalgebra of the bracket algebra generated by the RSM-elem...