Preface The research presented in this thesis done in the context of the " Parallel Natural Language Interfaces " subproject of the IMPACT project. The IMPACT project was headed by the ING bank and founded by the organization for High Performance Computing and Networking (HPCN), itself partly funded by NWO. The goal of this subproject was to improve the performance of natural language interface...

Mobile multimedia networks are enlarging the Internet of Things (IoT) portfolio with a huge number of multimedia services for different applications. Those services run on dynamic topologies due to device mobility or failures and wireless channel impairments, such as mobile robots or Unmanned Aerial Vehicle (UAV) environments for rescue or surveillance missions. In those scenarios, beaconless O...

This paper presents the reasoning behind the selection and design of a parser for the Lingo project on natural language interfaces at MCC. The major factors in the selection of the parsing algorithm were the choices of having a syntactically based grammar, using a graph-unification-based representation language, using Combinatory Categorial Grammars, and adopting a one-to-many mapping from synt...

Olfm1, a secreted highly conserved glycoprotein, is detected in peripheral and central nervous tissues and participates in neural progenitor maintenance, cell death in brain, and optic nerve arborization. In this study, we identified Olfm1 as a molecule promoting axon growth through interaction with the Nogo A receptor (NgR1) complex. Olfm1 is coexpressed with NgR1 in dorsal root ganglia and re...

Cutting stock problem (CSP) is a of cutting an object into several smaller objects to fulfill the existing demand with minimum unused remaining. Besides minimizing remaining object, sometimes there another additional in CSP, namely number different patterns. This happens because setup cost for each pattern. study shows way obtain patterns (CSP). An example modeled linear programming and then so...

An optimal maintenance strategy for cost effective and machine reliability in food manufacturing industries was developed this study. Maintenance parameters were employed to develop cost-reliability based model terms of an using lingo solver. The cost-reliabilitybased considered system’s reliability, equipment failure, preventive maintenance, corrective downtime associated with - maintenance. A...

In this paper, we obtain optimum allocation of replaceable and repairable components in a system design. When repair and replace time are considered as random in the constraints. We convert probabilistic constraint into an equivalent deterministic constraint by using chance constrained programming. We have used the selective maintenance policy to determine how many components to be replaced & r...