In one form or another language translation is a necessary part of cross-lingual information retrieval systems. Often times this is accomplished using machine translation systems. However, machine translation systems offer low quality for their high costs. This paper proposes a machine translation method that is low cost while improving translation quality. This is done by utilizing multiple we...

In conditions of limited commercial information on costs and rational costs, machines' efficiency parameters at the stage their manufacturing can be established based an analysis technical operational indices. On this basis, machine established. The corresponding indices are calculated known operating machine. These such as specific energy consumption (kVt∙h/m 3 ), material (t∙h/m productivity ...

Operational and investment costs are reduced by resource sharing in virtual machine (VM) environments, which also results in an overhead for hosted services. VM machine performance is important because of resource contention. If an application takes a long time to execute because of its CPU or network, it is considered to be a failure because if many VMs are running over a single hardware platf...

Communication costs, resulting from synchronization requirements during learning, can greatly slow down many parallel machine learning algorithms. In this paper, we present a parallel Markov chain Monte Carlo (MCMC) algorithm in which subsets of data are processed independently, with very little communication. First, we arbitrarily partition data onto multiple machines. Then, on each machine, a...

In this paper, we study an economic production quantity (EPQ) problem in which an item is produced by a single machine. We assume that the machine may fail in an exponential random time. The repair time is an exponential random variable. It is possible to satisfy the demand from an outside supplier when the machine is failed. The objective is to determine the production and order quantities in ...

A single machine scheduling problem is described which covers earliness costs, tardiness costs and setup costs. Setups are needed whenever a switch is made to a job of another product family. All jobs within the same product family have the same processing time. Besides setup costs also setup times are involved. Idle time is allowed, preemption is not allowed. Both a mixed integer programming f...

ON OPTIMAL POLICIES FOR MULTI·REPAIR·TYPE MARKOV MAINTENANCE MODELS Yukio Hatoyama Tokyo Institute of Technology (Received April 6, 1978) This paper treats an extension of an optimal machine maintenance model with Markovian deterioration introduced by Derman. The system consists of an operating machine whose deterioration is Markovian, a finite number of identical spare machines, and several ty...

Decision tree is an effective classification approach in data mining and machine learning. In some applications, test costs and misclassification costs should be considered while inducing decision trees. Recently, some cost-sensitive learning algorithms based on ID3, such as CS-ID3, IDX, ICET and λ-ID3, have been proposed to deal with the issue. In this paper, we develop a decision tree algorit...

This paper considers a scheduling problem in which the objective is to determine an optimal machine speed pair and an optimal schedule. There are two machines A, B and n jobs each of which consists of two operations. One operation is to be processed on machine A and the other on machine B. All jobs are open shop type, i.e., processing order of two operations is not specified and so processing o...

This paper proposes a comprehensive, multi-objective, mixed-integer, nonlinear programming (MINLP) model for a cell formation problem (CFP) under fuzzy and dynamic conditions aiming at: (1) minimizing the total cost which consists of the costs of intercellular movements and subcontracting parts as well as the cost of purchasing, operation, maintenance and reconfiguration of machines, (2) maximi...