INTRODUCTION A common thread among fields such natural language processing, computer vision, and artificial intelligence is that all seek to automate tasks which humans do naturally. Examples include listening to human speech, seeing and recognizing objects, reading text, and understanding meaning. If they could be automated by computers, then they could be done on demand, and much more quickly...

  In this paper flexible job-shop scheduling problem (FJSP) is studied in the case of optimizing different contradictory objectives consisting of: (1) minimizing makespan, (2) minimizing total workload, and (3) minimizing workload of the most loaded machine. As the problem belongs to the class of NP-Hard problems, a new hybrid genetic algorithm is proposed to obtain a large set of Pareto-optima...

A variable reluctance machine (VRM) has been proven to be an outstanding candidate for electric vehicle (EV) applications. This paper introduces a new double-stator, 12/14/12-pole three-phase hybrid-excited modular variable reluctance machine (MVRM) for EV applications. In order to demonstrate the superiorities of the proposed structure, the static torque characteristics and dynamic performance...

Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...

Machine translation is the process of translating text from one natural language to other using computers. The process requires extreme intelligence and experience like a human being that a machine usually lacks. Availability of machine translators for translation from English to Dravidian language, Malayalam is on the low. A few corpus-based and non-corpus based approaches have been tried in p...

This paper describes and evaluates Matador, an implemented large-scale Spanish-English MT system built in the Generation-Heavy Hybrid Machine Translation (GHMT) approach. An extensive evaluation shows that Matador has a higher degree of robustness and superior output quality, in terms of grammaticality and accuracy, when compared to a primarily statistical approach.

In hybrid simulation, the structure is divided into numerical and physical substructures to achieve more accurate responses in comparison to a full computational analysis. As a consequence of the lack of test facilities and actuators, and the budget limitation, only a few substructures can be modeled experimentally, whereas the others have to be modeled numerically. In this paper, a new hybrid ...

A hybrid particle swarm optimization (PSO) for multi-machine time scheduling problem (MTSP) with multicycles is proposed in this paper to choose the best starting time for each machine in each cycle under pre-described time window and a set of precedence machines for each machine; to minimize the total penalty cost. We developed hybrid algorithm by using a combination between PSO and Genetic Al...