Sugar Supply Chains and Regional Development

The coastal Queensland regions are heavily dependent upon the sugar industry and are likely to remain so. The interplay between sugar industry and regional development is little understood beyond the historical record. Yet current reform proposals place great store on regional initiatives to rejuvenate both sugar and its host communities. Such proposals are at best naïve as will be seen in this paper. A key feature of sugar and like industries is a high degree of supply chain interdependence which is embedded in place and time. Reflecting this, sugar regions have a more diverse skills mix and a more advanced manufacturing and services capability than many other agriculturally-oriented regions, notably broadacre grain and beef. Central to the emergence of such a regional industrial structure are inter-industry transactions. These will be considered in both an input-output framework and from a transactions cost basis. Associated insights point to the inadequacy and likely failure of initiatives based on current “efficiency/productivity‿ thinking. Alternative ways to view the industry are discussed along with a recommendation that those involved with sugar regionally revisit current plans

Compact and explicit physical model for lateral metal-oxide-semiconductor field-effect transistor with nanoelectromechanical system based resonant gate

We propose a simple analytical model of a metal-oxide-semiconductor field-effect transistor with a lateral resonant gate based on the coupled electromechanical equations, which are self-consistently solved in time. All charge densities according to the mechanical oscillations are evaluated. The only input parameters are the physical characteristics of the device. No extra mathematical parameters are used to fit the experimental results. Theoretical results are in good agreement with the experimental data in static and dynamic operation. Our model is comprehensive and may be suitable for any electromechanical device based on the field-effect transduction

Mining Event Logs to Support Workflow Resource Allocation

Workflow technology is widely used to facilitate the business process in enterprise information systems (EIS), and it has the potential to reduce design time, enhance product quality and decrease product cost. However, significant limitations still exist: as an important task in the context of workflow, many present resource allocation operations are still performed manually, which are time-consuming. This paper presents a data mining approach to address the resource allocation problem (RAP) and improve the productivity of workflow resource management. Specifically, an Apriori-like algorithm is used to find the frequent patterns from the event log, and association rules are generated according to predefined resource allocation constraints. Subsequently, a correlation measure named lift is utilized to annotate the negatively correlated resource allocation rules for resource reservation. Finally, the rules are ranked using the confidence measures as resource allocation rules. Comparative experiments are performed using C4.5, SVM, ID3, Na\"ive Bayes and the presented approach, and the results show that the presented approach is effective in both accuracy and candidate resource recommendations.Comment: T. Liu et al., Mining event logs to support workflow resource allocation, Knowl. Based Syst. (2012), http://dx.doi.org/ 10.1016/j.knosys.2012.05.01