We consider the problem of scheduling of n jobs to minimize the total earliness and tardiness penalty. The scheduling objective is to minimize the sum of job dependent earliness and tardiness penalties.. After determining the scheduling for single machine common due date, using neural network, the result shows that the neural network solution performs very well.

Extreme Learning Machine is a fast single layer feed forward neural network for real valued classification. It suffers from the problem of instability and over fitting. Voting based Extreme Learning Machine, VELM reduces this performance variation in Extreme Learning Machine by employing majority voting based ensembling technique. VELM improves the performance of ELM at the cost of increased re...

A modiied Recurrent Neural Network (RNN) is used to learn a Self-Routing Interconnection Network (SRIN) from a set of routing examples. The RNN is modiied so that it has several distinct initial states. This is equivalent to a single RNN learning multiple diierent synchronous sequential machines. We deene such a sequential machine structure as augmented and show that a SRIN is essentially an Au...

Despite existing various integer programming for sequencing problems, there is not enoughinformation about practical values of the models. This paper considers the problem of minimizing maximumlateness with release dates and presents four different mixed integer programming (MIP) models to solve thisproblem. These models have been formulated for the classical single machine problem, namely sequ...

The TDR system is an experimental multi-level slow intelligence system for personal health care. The TDR system can be used by a single user or a group of users who will interact to understand, maintain and improve each other’s state of health. In this paper, we simulate social networks by applying the Abstract Machine model. Two social network models are described: the Circulated Model and the...

Recently, several flavors of Unix have appeared which run on inexpensive personal computers. Further, the source code for these operating systems is freely available. This makes offering courses that include realistic kernel programming feasible in an academic environment. However, root access is required in order to modify a system's kernel. This poses a potential security threat both to other...

We present a construction to transmit high quality video streams, such as MPEG-video in realtime over lossy channels. To protect our messages against losses in the network during transit we use a new Forward Error Correction (FEC) scheme called Erasure Resilient Transmission (ERT). Unfortunately a lot of losses are not caused by the network itself but by bu er over ows in the receiver machine w...

With explosion of data size and limited storage space at a single location, data are often distributed at different locations. We thus face the challenge of performing largescale machine learning from these distributed data through communication networks. In this paper, we study how the network communication constraints will impact the convergence speed of distributed machine learning optimizat...

In single machine scheduling problems with availability constraints, machines are not available for one or more periods of time. In this paper, we consider a single machine scheduling problem with flexible and periodic availability constraints. In this problem, the maximum continuous working time for each machine increases in a stepwise manner with two different values allowed. Also, the durati...

Contour Crafting is an emerging technology that uses robotics to construct free form building structures by repeatedly laying down layers of material such as concrete. The Contour Crafting technology scales up automated additive fabrication from building small industrial parts to constructing buildings. Tool path planning and optimization for Contour Crafting benefit the technology by increasin...