Mobile Computing in Physics Analysis - An Indicator for eScience

This paper presents the design and implementation of a Grid-enabled physics analysis environment for handheld and other resource-limited computing devices as one example of the use of mobile devices in eScience. Handheld devices offer great potential because they provide ubiquitous access to data and round-the-clock connectivity over wireless links. Our solution aims to provide users of handheld devices the capability to launch heavy computational tasks on computational and data Grids, monitor the jobs status during execution, and retrieve results after job completion. Users carry their jobs on their handheld devices in the form of executables (and associated libraries). Users can transparently view the status of their jobs and get back their outputs without having to know where they are being executed. In this way, our system is able to act as a high-throughput computing environment where devices ranging from powerful desktop machines to small handhelds can employ the power of the Grid. The results shown in this paper are readily applicable to the wider eScience community.Comment: 8 pages, 7 figures. Presented at the 3rd Int Conf on Mobile Computing & Ubiquitous Networking (ICMU06. London October 200

The Politics of Institutional Learning and Creation: Bank Crises and Supervision in East Central Europe

This article examines the political conditions shaping the creation of new institutional capabilities. It analyzes bank sector reforms in the 1990s in three leading postcommunist democracies – Hungary, Poland, and the Czech Republic. It shows how different political approaches to economic transformation can facilitate or hinder the ability of relevant public and private actors to experiment and learn their new roles. With its emphasis on insulating power and rapidly implementing self-enforcing economic incentives, the “depoliticization” approach creates few changes in bank behavior and, indeed impedes investment in new capabilities at the bank and supervisory levels. The “deliberative restructuring” approach fostered innovative, costeffective monitoring structures for recapitalization, a strong supervisory system, and a stable, expanding banking sector.http://deepblue.lib.umich.edu/bitstream/2027.42/40112/3/wp726.pd

A Priority-based Fair Queuing (PFQ) Model for Wireless Healthcare System

Healthcare is a very active research area, primarily due to the increase in the elderly population that leads to increasing number of emergency situations that require urgent actions. In recent years some of wireless networked medical devices were equipped with different sensors to measure and report on vital signs of patient remotely. The most important sensors are Heart Beat Rate (ECG), Pressure and Glucose sensors. However, the strict requirements and real-time nature of medical applications dictate the extreme importance and need for appropriate Quality of Service (QoS), fast and accurate delivery of a patient’s measurements in reliable e-Health ecosystem. As the elderly age and older adult population is increasing (65 years and above) due to the advancement in medicine and medical care in the last two decades; high QoS and reliable e-health ecosystem has become a major challenge in Healthcare especially for patients who require continuous monitoring and attention. Nevertheless, predictions have indicated that elderly population will be approximately 2 billion in developing countries by 2050 where availability of medical staff shall be unable to cope with this growth and emergency cases that need immediate intervention. On the other side, limitations in communication networks capacity, congestions and the humongous increase of devices, applications and IOT using the available communication networks add extra layer of challenges on E-health ecosystem such as time constraints, quality of measurements and signals reaching healthcare centres. Hence this research has tackled the delay and jitter parameters in E-health M2M wireless communication and succeeded in reducing them in comparison to current available models. The novelty of this research has succeeded in developing a new Priority Queuing model ‘’Priority Based-Fair Queuing’’ (PFQ) where a new priority level and concept of ‘’Patient’s Health Record’’ (PHR) has been developed and integrated with the Priority Parameters (PP) values of each sensor to add a second level of priority. The results and data analysis performed on the PFQ model under different scenarios simulating real M2M E-health environment have revealed that the PFQ has outperformed the results obtained from simulating the widely used current models such as First in First Out (FIFO) and Weight Fair Queuing (WFQ). PFQ model has improved transmission of ECG sensor data by decreasing delay and jitter in emergency cases by 83.32% and 75.88% respectively in comparison to FIFO and 46.65% and 60.13% with respect to WFQ model. Similarly, in pressure sensor the improvements were 82.41% and 71.5% and 68.43% and 73.36% in comparison to FIFO and WFQ respectively. Data transmission were also improved in the Glucose sensor by 80.85% and 64.7% and 92.1% and 83.17% in comparison to FIFO and WFQ respectively. However, non-emergency cases data transmission using PFQ model was negatively impacted and scored higher rates than FIFO and WFQ since PFQ tends to give higher priority to emergency cases. Thus, a derivative from the PFQ model has been developed to create a new version namely “Priority Based-Fair Queuing-Tolerated Delay” (PFQ-TD) to balance the data transmission between emergency and non-emergency cases where tolerated delay in emergency cases has been considered. PFQ-TD has succeeded in balancing fairly this issue and reducing the total average delay and jitter of emergency and non-emergency cases in all sensors and keep them within the acceptable allowable standards. PFQ-TD has improved the overall average delay and jitter in emergency and non-emergency cases among all sensors by 41% and 84% respectively in comparison to PFQ model

Angel Groups: Developing a Regional Economic Development Strategy for Robust Seed Capital Ecosystems for Entrepreneurs

The purpose of this paper is to identify the link between the success of angel organizational structures and the economic footprint within which angel groups operate; ultimately suggesting a novel approach of assisting traditional angel group structures in their operations and entrepreneurs in the process of securing early stage financing. Given the varied angel group structures that exist, some angel portals may be more appropriate for certain regions than others. In-depth field research was developed and analyzed by creating the first undergraduate student-run angel investment fund, to co-invest with investors in the informal venture capital market, in the United States. The research presented in this paper will provide economic planners, educational leaders, and interested students with a potential guideline of how best to organize angel investors within their respective regions, ultimately building local investment capacity that will benefit state economies by creating better financing opportunities for entrepreneurs

The Politics of Institutional Learning and Creation: Bank Crises and Supervision in East Central Europe

This article examines the political conditions shaping the creation of new institutional capabilities. It analyzes bank sector reforms in the 1990s in three leading postcommunist democracies – Hungary, Poland, and the Czech Republic. It shows how different political approaches to economic transformation can facilitate or hinder the ability of relevant public and private actors to experiment and learn their new roles. With its emphasis on insulating power and rapidly implementing self-enforcing economic incentives, the “depoliticization” approach creates few changes in bank behavior and, indeed impedes investment in new capabilities at the bank and supervisory levels. The “deliberative restructuring” approach fostered innovative, costeffective monitoring structures for recapitalization, a strong supervisory system, and a stable, expanding banking sector.Institutional change, transition economies, bank crises, bank supervision, learn

MobGeoSen: facilitating personal geosensor data collection and visualization using mobile phones

Mobile sensing and mapping applications are becoming more prevalent because sensing hardware is becoming more portable and more affordable. However, most of the hardware uses small numbers of fixed sensors that report and share multiple sets of environmental data which raises privacy concerns. Instead, these systems can be decentralized and managed by individuals in their public and private spaces. This paper describes a robust system called MobGeoSens which enables individuals to monitor their local environment (e.g. pollution and temperature) and their private spaces (e.g. activities and health) by using mobile phones in their day to day life