An Estimated Small Open Economy New-Keynesian Model of the Australian Economy

This paper estimates a small open economy New-Keynesian model using data from Australia and the US economy with Full Information Maximum Likelihood method. Our estimated US structural parameters are in line with those of Giordani (2004) on Canadian data. For Australian parameters we find that the real exchange rate has little effect on output gap and inflation, whereas the foreign output gap has a significant effect on both of them. Moreover, our results show a prominent role for backwardlooking behaviour for Australian inflation.Open Economy, New Keynesian model, FIML, Australia

Numerical modelling of functionally graded coatings

Peer reviewedPostprin

Internet and Users. Who is the Reader?

Internet has turned into a fundamental component of everyday life, as it plays a major role in advancing the globalization process. Globalization was fostered by the idea of creating equalaccess opportunities for all and facilitating communication worldwide. Using internet as the core platform, billions of people try to access and benefit from this opportunity through search engines, service providers, websites and social media. However, given the profound difference between internet and user’s languages, users end up on relying on search engines and tools to translate their ideas into a computer-readable language and derive information from them. In order to provide the best possible services, search engines and social media need to accumulate comprehensive data on each user’s identity. The challenge is that once they are fed with convenient information on each user, they tend to personalize the idea they grasp of him or her based on their given regulations and policies, which in the mid- and long-term results in managing users’ access to information.. By applying the reader-response theory, this paper seeks to focus on the challenges stemming from the adoption of users’ personalized profiles by Google, Facebook and Amazon as the most common part of users’ performance in internet. It also explores how the reading differences of the users and the tools result not only in personalized versions of users, but also engender an unrecognized virtual in-betweenness of users’ own perception of themselves and the tools’ perception of users

Multiple facets of tightly coupled transducer-transistor structures

The ever increasing demand for data processing requires different paradigms for electronics. Excellent performance capabilities such as low power and high speed in electronics can be attained through several factors including using functional materials, which sometimes acquire superior electronic properties. The transduction-based transistor switching mechanism is one such possibility, which exploits the change in electrical properties of the transducer as a function of a mechanically induced deformation. Originally developed for deformation sensors, the technique is now moving to the centre stage of the electronic industry as the basis for new transistor concepts to circumvent the gate voltage bottleneck in transistor miniaturization. In issue 37 of Nanotechnology, Chang et al show the piezoelectronic transistor (PET), which uses a fast, low-power mechanical transduction mechanism to propagate an input gate voltage signal into an output resistance modulation. The findings by Chang et al will spur further research into piezoelectric scaling, and the PET fabrication techniques needed to advance this type of device in the future

On-chip Magnetoresistive Sensors for Detection and Localization of Paramagnetic Particles

This paper presents the work towards miniaturized magnetic biosensor array based on the detection of paramagnetic particles using the giant magnetoresistance (GMR) effect. GMR sensors have been studied for many years, but its application for on-chip integration and in complex configurations, as well as effective localization for Lab-On-Chip and Tissue Engineering applications is not yet explored. This work demonstrates the development of initial prototypes of 5 and 9 sensor GMR arrays of varying geometries and corresponding calibration and localization algorithms to detect and localize paramagnetic materials in 2D. The generation of a uniform magnetic field using a 16 magnet Halbach cylinder was also analyzed and optimized using FEA for different sensor configurations. Results show excellent localization for the fully calibrated 5 sensor arrays, with a mean (SD) error of 2.45 (1.61) mm for the ferrofluid as compared to 1.48 (1.14) mm for a strong ferromagnet for a 25×25mm2 array surface. The 9sensor array similarly showed good results for full calibration

How to Compute Modulo Prime-Power Sums

The problem of computing modulo prime-power sums is investigated in distributed source coding as well as computation over Multiple-Access Channel (MAC). We build upon group codes and present a new class of codes called Quasi Group Codes (QGC). A QGC is a subset of a group code. These codes are not closed under the group addition. We investigate some properties of QGC's, and provide a packing and a covering bound. Next, we use these bounds to derived achievable rates for distributed source coding as well as computation over MAC. We show that strict improvements over the previously known schemes can be obtained using QGC's