Using a Model-driven Approach in Building a Provenance Framework for Tracking Policy-making Processes in Smart Cities

The significance of provenance in various settings has emphasised its potential in the policy-making process for analytics in Smart Cities. At present, there exists no framework that can capture the provenance in a policy-making setting. This research therefore aims at defining a novel framework, namely, the Policy Cycle Provenance (PCP) Framework, to capture the provenance of the policy-making process. However, it is not straightforward to design the provenance framework due to a number of associated policy design challenges. The design challenges revealed the need for an adaptive system for tracking policies therefore a model-driven approach has been considered in designing the PCP framework. Also, suitability of a networking approach is proposed for designing workflows for tracking the policy-making process.Comment: 15 pages, 5 figures, 2 tables, Proc of the 21st International Database Engineering & Applications Symposium (IDEAS 2017

Deep Learning Meets Cognitive Radio: Predicting Future Steps

Learning the channel occupancy patterns to reuse the underutilised spectrum frequencies without interfering with the incumbent is a promising approach to overcome the spectrum limitations. In this work we proposed a Deep Learning (DL) approach to learn the channel occupancy model and predict its availability in the next time slots. Our results show that the proposed DL approach outperforms existing works by 5%. We also show that our proposed DL approach predicts the availability of channels accurately for more than one time slot

The efficacy of marketing skills and market responsiveness in marketing performance of emerging market exporting firms in advanced markets : The moderating role of competitive intensity

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Maternal education, empowerment, economic status and child polio vaccination uptake in Pakistan: a population based cross sectional study

Objectives: To explore the association of maternal education and empowerment with childhood polio vaccination using nationally representative data of Pakistani mothers in a reproductive age group. Design: Cross-sectional. Setting: Secondary analysis of Pakistan Demographic and Health Survey (PDHS), 2012–2013 data was performed. Participants: Of the 13 558 mothers included in the survey sample, 6982 mothers were able to provide information regarding polio vaccinations. Main outcome measures: Polio vaccination coverage among children aged up to 5 years was categorised as complete vaccination (all four oral polio vaccine (OPV) doses), incomplete vaccination, and no vaccination (zero OPV dose received). Mothers' empowerment status was assessed using standard ‘Measure DHS’ questions regarding their involvement in decision-making related to health, household possessions and visits among family and friends. Education was categorised as no education, primary, secondary and higher education. Results of multinomial regression analyses were reported as adjusted OR with 95% CI. We adjusted for age, wealth index, urban/rural residence, place of delivery, and antenatal and postnatal visits. Results: Only 56.4% (n=3936) of the children received complete polio vaccination. Women with no education had significantly higher odds of their child receiving no polio vaccination (OR 2.34, 95% CI 1.05 to 5.18; p<0.01) and incomplete vaccination (OR 1.40, 95% CI 1.04 to 1.87; p<0.01). Further, unempowered women also had significantly higher odds of not taking their child for any polio vaccination (OR 1.58, 95% CI 1.17 to 2.12; p<0.01) and incomplete vaccination (OR 1.18, 95% CI 1.00 to 1.41; p=0.04). Conclusions: Illiteracy, socioeconomic status and empowerment of women remained significant factors linked to poorer uptake of routine polio vaccination

Impact of Fiscal Variables on Economic Development of Pakistan

The objective of this paper is to determine the impact of the fiscal variables on economic growth in Pakistan using time series data for the period 1980-2009. Cointegration and error correction techniques are used for this analysis and Granger causality test is used to determine the direction of causality. This study will provide help in determining the importance of fiscal policy for the development of Pakistan

An Architecture for Integrated Intelligence in Urban Management using Cloud Computing

With the emergence of new methodologies and technologies it has now become possible to manage large amounts of environmental sensing data and apply new integrated computing models to acquire information intelligence. This paper advocates the application of cloud capacity to support the information, communication and decision making needs of a wide variety of stakeholders in the complex business of the management of urban and regional development. The complexity lies in the interactions and impacts embodied in the concept of the urban-ecosystem at various governance levels. This highlights the need for more effective integrated environmental management systems. This paper offers a user-orientated approach based on requirements for an effective management of the urban-ecosystem and the potential contributions that can be supported by the cloud computing community. Furthermore, the commonality of the influence of the drivers of change at the urban level offers the opportunity for the cloud computing community to develop generic solutions that can serve the needs of hundreds of cities from Europe and indeed globally.Comment: 6 pages, 3 figure

WEB Based Applications Testing: Analytical Approach towards Model Based Testing and Fuzz Testing

Web-based applications are complex in the structure which results in facing an immense amount of exploiting attacks, so testing should be done in a proactive way in order to identify threats in the applications. The intruder can explore these security loopholes and may exploit the application which results in economical lose, so testing the application becomes a supreme phase of development.  The main objective of testing is to secure the contents of applications either through static or automatic approach. The software houses usually follow fuzz based testing in which flaws can be explored by randomly inputting invalid data while on the other hand model-based testing is the automated approach which tests the applications from all perspectives on the basis of an abstract model of the application. The main theme of this research is to study the difference between fuzz based testing and MBT in terms of test coverage, performance, cost and time. This research work guides the web application practitioner in the selection of suitable methodology for different testing scenarios which save efforts imparted on testing and develop better and breaches free product.

The Interaction of Social Influence and Message Framing on Children’s Food Choice

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How post-investment Chinese lessons can pay off

A case study of a UK engineering firm acquired by a Chinese company shows how both parties gained benefits from the deal, writes Associate Professor Shaowei He