In this paper we develop an economic order quantity model to investigate the optimal replenishment policies for instantaneous deteriorating items under inflation and trade credit. Demand rate is a linear function of selling price and decreases negative exponentially with time over a finite planning horizon. Shortages are allowed and partially backlogged. Under these conditions, we model the ret...

In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of ltering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed method, supporting evidence for hypotheses are put in competition in a Minimum Description-Length (MDL) framework t...

Abstract—This paper is the second in a series of two papers describing the methodology and algorithms used in the development of MISTIC (Michigan Synthesis Tools for Integrated Circuits). Part I discussed the basic topological algorithms used to produce generic sequences of processing steps required for the fabrication of a given device structure. Part II discusses the expansion of these sequen...

We develop a novel theoretical framework for studying ecosystems in which interacting state variables which are affected by management decisions diffuse in space. We identify (i) mechanisms creating spatial patterns when economic agents maximize profit at each site by ignoring the impact of their actions on other sites and (ii) a diffusion induced externality. Pattern formation mechanisms and e...

This paper describes the implementation details of a coded structured light system useful for one-shot measurements of a surface. Since a unique pattern is projected, the technique is useful for measuring moving surfaces. A pattern based on grid structure is used. The main advantage of such structure is that redundant codification is applied to the cross-points. Since both pattern axis are code...

In this paper we present X-Learn, an XML-based, multiagent system for supporting “user-device” adaptive e-learning. X-Learn is characterized by the following features: (i) it is highly subjective, since it handles quite a rich and detailed user profile that plays a key role during the learning activities; (ii) it is dynamic and flexible, i.e., it is capable of reacting to variations of exigenci...

In this work we explore the potentialities of a representational framework for the decomposition of audio-visual signals over redundant dictionaries, using Matching Pursuits [1] (MP). It is relatively easy for a human to correctly interpret a scene consisting on a combination of acoustic and visual stimuli and to take profit from both information to experience a richer perception of the world. ...

In this paper principles of extended Kalman filtering theory is developed and applied to simulated on-line electric power systems state estimation in order to trace the operating condition changes through the redundant and noisy measurements. Test results on IEEE 14 - bus test system are included. Three case systems are tried; through the comparing of their results, it is concluded that the pro...

Information systems now form the backbone of nearly every government and private system – Web services currently does or will play a major role in supporting access to distributed resources, command and control to exploit the backbone. Increasingly these systems are networked together allowing for distributed operations, sharing of databases, and redundant capability. Ensuring these networks ar...