Enterprise management and ERP development:case study of Zoomlion using dynamic enterprise reference grid

The enterprise management approach provides a holistic view of organizations and their related information systems. In order to cope with the globalization, virtualization, and volatile competitive environment, traditional firms are seeking to reconstruct their organizational structures and establish new IS architectures to transform from single autonomous entities into more open enterprises supported by new Enterprise Resource Planning (ERP) systems. This paper reports on ERP engage-abilities within three different enterprise management patterns based on the theoretical foundations of the "Dynamic Enterprise Reference Grid". An exploratory inductive study in Zoomlion using the narrative research approach has been conducted. Also, this research delivers a conceptual framework to demonstrate the adoption of ERP in the three enterprise management structures and points to a new architectural type (ERPIII) for operating in the virtual enterprise paradigm. © 2010 Springer-Verlag.

Fiber optic sensing of magnetic fields utilizing femtosecond laser sculpted microslots and long period gratings coated with Terfenol-D

Fiber optic sensors are fabricated for detecting static magnetic fields. The sensors consist of a UV inscribed long period grating with two 50 micron long microslots. The microslots are fabricated using the femtosecond laser based inscribe and etch technique. The microslots and the fiber surface are coated with a magnetostrictive material Terfenol-D. A spectral sensitivity of 1.15 pm/mT was measured in transmission with a working resolution of ±0.2 mT for a static magnetic field strength below 10 mT. These devices also present a different response when the spatial orientation of the fiber was adjusted relative to the magnetic field lines.

Comparing sentence-level features for authorship analysis in Portuguese

In this paper we compare the robustness of several types of stylistic markers to help discriminate authorship at sentence level. We train a SVM-based classifier using each set of features separately and perform sentence-level authorship analysis over corpus of editorials published in a Portuguese quality newspaper. Results show that features based on POS information, punctuation and word / sentence length contribute to a more robust sentence-level authorship analysis. © Springer-Verlag Berlin Heidelberg 2010.