Application-level scripting is a powerful method for structuring software. This paper introduces TkDVI, a TEX DVI previewer based on the Tcl/Tk scripting language and graphics toolkit. After a brief introduction to Tcl/Tk, we present the design and major components of the previewer, pointing out the specific advantages gained by using Tcl/Tk. A number of extensions and future projects is also d...

In this paper a neural adaptive control method has been developed and applied to robot control. Simulation results are presented to verify the effectiveness of the controller. These results show that the performance by using this controller is better than those which just use either direct inverse control or predictive control. In addition, they show that the resulting is a useful method which ...

Insufficient inertia is the paramount challenge in power system transition toward $ 100\%$ converter-based generation. A promising solution to this issue utilizing distributed virtual (DVI) concept, i.e., releasing energy stored dc-link...

The Satisfactory Partition problem consists in deciding if a given graph has a partition of its vertex set into two nonempty sets V1, V2 such that for each vertex v, if v ∈ Vi then dVi(v) ≥ s(v), where s(v) ≤ d(v) is a given integer-valued function. This problem was introduced by Gerber and Kobler [EJOR 125 (2000), 283–291] for s = ⌈ d 2 ⌉. In this paper we study the complexity of this problem ...

BACKGROUND Induction of labor is a major issue in pregnancy management. Finding strategies to increase rate and decrease time to vaginal delivery is an important goal, but maternal or neonatal safety must remain the primary objective. Misoprostol is a synthetic analogue of prostaglandin used off label to ripen the cervix and induce labor. The misoprostol vaginal insert (MVI) was designed to all...

This paper presents a new growing neural network for cluster analysis and market segmentation, which optimizes the size and structure of clusters by iteratively checking them for multivariate normality. We combine the recently published SGNN approach [8] with the basic principle underlying the Gaussian-means algorithm [13] and the Mardia test for multivariate normality [18, 19]. The new approac...