in today's business environment in which coordination and adaptation with constant changes are the only ways of survival, real-time monitoring of activities and making the decisions accordingly are necessary. since performance measurement cannot be managed independent of business processes, business activity monitoring (bam) systems should monitor performance metrics based on business processes...

Percolation has recently been proposed as a key component of an advanced program execution model for future generation high-end machines featuring adaptive data/code transformation and movement for effective latency tolerance. An early evaluation of the performance effect of percolation is very important in the design space exploration of future generations of supercomputers. In this paper, we ...

background and objective: the reliability and validity of monitors for self-monitoring of blood glucose are debated. we evaluated the analytical performance of accu-check active (boehringer mannheim, roche) which is one of the most commonly used monitors in iran. material and methods: we compared the monitor readings with the reference values by percentage of values within certain intervals of...

In support of hyperspectral sensor system design and parameter tradeoff investigations, an analytical end-to-end remote sensing system performance forecasting model is being developed. The model uses statistical descriptions of class reflectances in a scene and propagates them through the effects of the atmosphere, the sensor, and any processing transformations. A resultant system performance m...

Health care reform has strengthened the link between performance and reimbursement, exemplified by valuebased purchasing and accountable care organizations. This has led to a heightened responsibility for physician leaders to improve physician performance. However, providing actionable assessments of physician outcomes is not as straightforward as it may seem. The physician leader is faced with...

With an easy access to share information and data nowadays, many investors worldwide are interested in predicting stock prices. The prediction of stock prices using data mining techniques applied to technical variables has been widely researched but not much research to date has been done in applying data mining techniques to both technical and fundamental information. This paper is based on a ...

Empirical Similitude Method (ESM) is a technique developed to address the concerns of non – linear similitude. The process disconnects the scaling of material and shape response by assuming them to be independent to form a system transformation. Such a transformation requires modeling using three representative models instead of just one as is used in the Buckingham π theorem. In an effort to g...

Recent advances in the power of parallel computers have made them attractive for solving large computational problems. High speed parallel processors ranging from clusters of workstations to Massively Parallel Processing (MPP) machines are becoming increasingly available to the scientiic community 3]. In this paper, the term \scalability" is used to indicate how well an application is able to u...

The classical certificate systems are computationally inefficient, since they use signature operations based on public key cryptosystems. The nested certificates (A. Levi, Design and performance evaluation of the nested certification scheme and its applications in public key infrastructures, Ph.D. Thesis, Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey) are proposed to...