In dynamic data driven applications modeling accurately the uncertainty of various inputs is a key step of the process. In this paper, we first review the basics of the Karhunen-Loève decomposition as a means for representing stochastic inputs. Then, we derive explicit expressions of one-dimensional covariance kernels associated with periodic spatial second-order autoregressive processes. We al...

Demand information can easily be shared in advance with the use of the latest technologies in the supply chain. Advance demand information can be used to compensate demand uncertainty and decrease inventory costs. In order to benefit from advance demand information, it should be effectively integrated into the system. In this paper, we examine a production-inventory system with multiple classes...

Robot viewers are an important tool for robot developers, programmers and users. This article presents interactive visual features that can be used for robot viewers, including rotating arrows for torque controlled serial robots and special positioned textfields for numerically displaying joint parameters. The presented features support intuitive interaction modes such that the displayed conten...

Cloud processes are appreciated to be of increasing importance to the comprehension of the atmosphere. Therefore, weather models have recently been extended by detailed spectral descriptions of cloud processes. However, the high computational costs hinder their practical application. This paper introduces the novel framework FD4 (Four-Dimensional Distributed Dynamic Data structures), which is d...

Case-based reasoning (CBR) systems solve new problems by retrieving stored prior cases, and adapting their solutions to fit new circumstances. Traditionally, CBR systems draw their cases from a single local case-base tailored to their task. However, when a system’s own set of cases is limited, it may be beneficial to supplement the local case-base with cases drawn from external casebases for re...

‎in this paper‎, ‎we introduce fractional-order into a model of hiv-1 infection of cd4^+ t--cells‎. ‎we study the effect of ‎the changing the average number of viral particles $n$ with different sets of initial conditions on the dynamics of‎ ‎the presented model‎. ‎ ‎the nonstandard finite difference (nsfd) scheme is implemented‎ ‎to study the dynamic behaviors in the fractional--order hiv-1‎‎i...