A framework for generating aviation risk information mobile user interfaces from knowledge graphs

In this paper, we introduce a new framework called Flight Planner for generating Aviation Risk Information mobile-compatible user interfaces from Knowledge Graphs. The framework is divided into three components, a templating engine, a Linked Data Knowledge Graph and a mobile app.Traditional Linked Data frameworks provide poor support for user interface generation and common web frameworks do not natively support Linked Data-based Knowledge Graphs. Moreover,Aviation Risk Information systems is specialised area mainly studied by organisational psychologists or experts in human factors and it has received little attention by computer scientists.Thus, a flexible, efficient, and usable framework for Aviation Risk Information is needed. A comparative evaluation was done with Linked Data Reactor framework as a benchmark.It is observed that Flight Planner produces equivalently flexible and efficient, but less usable results despite being an early prototype

Developing a distributed electronic health-record store for India

The DIGHT project is addressing the problem of building a scalable and highly available information store for the Electronic Health Records (EHRs) of the over one billion citizens of India

Volcanic Activity: Processing of Observation and Remote Sensing Data (VAPOR)

The World Bank makes a very clear distinction between disasters and natural phenomena. Natural phenomena are events like volcanic eruptions. A disaster only occurs when the ability of the community to cope with natural phenomenon has been surpassed, causing widespread human, material, economic or environmental losses. By these definitions, volcanic eruptions do not have to lead to disasters. On November 13, 1985, the second most deadly eruption of the twentieth century occurred in Colombia. Within a few hours of the eruption of the Nevado del Ruiz volcano, 23,000 people were dead because no infrastructure existed to respond to such an emergency. Six years later, the 1991 eruption of Mount Pinatubo in the Philippines was the largest volcanic eruption in the 21st century to affect a heavily populated area. Because the volcano was monitored, early warning of the eruption was provided and thousands of lives were saved. Despite these improvements, some communities still face danger from volcanic events and volcano-monitoring systems still require further development. There remain clear gaps in monitoring technologies, in data sharing, and in early warning and hazard tracking systems. A global volcano-monitoring framework such as the VIDA framework can contribute to filling these gaps. VIDA stands for “VAPOR Integrated Data-sharing and Analysis” and is also the Catalan and Spanish word for ‘life’. The ultimate goal for this project is to help save the lives of people threatened by volcanic hazards, while protecting infrastructure and contributing to decision support mechanisms in disaster risk management scenarios

Building a Frameworks for Apron Planning, Design, Optimization, Future Proofing and Expansion

Airports are a significant economic driver that impact local and national interests. As such, in an ever connected world, these critical components of infrastructure face a growing number of influences which contribute to systems complexity and frequently impede further development. The point of this dissertation is to discuss and highlight the benefit of systematic thinking as planners approach airport planning challenges and update the aging aviation infrastructure in many regions of the world. This dissertation looks at a series of three papers that, examine the impact and influences of technology, distinguishes the effects of social and procedural changes, and offers one solution to simplify systems planning and integration within the aviation industry. The first paper presented is an examination of the history of Pan American World Airways through a data centered look at the growth of the fleet. The second paper examines some of the current and impending risk broken into categories, based on an examination of socio-technical systems. The final paper offers a solution a new system that could be constructed at an airport, which could simplify an aircraft turn around xiv process and help future proof airports for some of the expected changes that will impact the aviation industry. The solution proposed in CHAPTER V offers an example of a systemic change to the development of the apron area. This new concept integrates most of the apron area systems into a single system for aircraft loading and unloading. This work shows the need to accommodate industry changes as they develop, and clearly identifies some of the most obvious challenges and risks that face the aviation industry. This work further offers one method for solving and avoiding the costly interventions usually required to overhaul a system when emergent behavior necessitates a physical change to the infrastructure of the system. As with the development of any dissertation, much of this document has been updated and improved actively throughout this process. While this is a final document there is always more that can be added. This provided a complete overview of the apron area though and provides a clear contribution to the aviation industry

Natural Language Processing in-and-for Design Research

We review the scholarly contributions that utilise Natural Language Processing (NLP) methods to support the design process. Using a heuristic approach, we collected 223 articles published in 32 journals and within the period 1991-present. We present state-of-the-art NLP in-and-for design research by reviewing these articles according to the type of natural language text sources: internal reports, design concepts, discourse transcripts, technical publications, consumer opinions, and others. Upon summarizing and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP. We then propose a few methodological and theoretical directions for future NLP in-and-for design research

Advanced Location-Based Technologies and Services

Since the publication of the first edition in 2004, advances in mobile devices, positioning sensors, WiFi fingerprinting, and wireless communications, among others, have paved the way for developing new and advanced location-based services (LBSs). This second edition provides up-to-date information on LBSs, including WiFi fingerprinting, mobile computing, geospatial clouds, geospatial data mining, location privacy, and location-based social networking. It also includes new chapters on application areas such as LBSs for public health, indoor navigation, and advertising. In addition, the chapter on remote sensing has been revised to address advancements

Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities

Recent advances in Internet of Things (IoT) have enabled myriad domains such as smart homes, personal monitoring devices, and enhanced manufacturing. IoT is now pervasive---new applications are being used in nearly every conceivable environment, which leads to the adoption of device-based interaction and automation. However, IoT has also raised issues about the security and privacy of these digitally augmented spaces. Program analysis is crucial in identifying those issues, yet the application and scope of program analysis in IoT remains largely unexplored by the technical community. In this paper, we study privacy and security issues in IoT that require program-analysis techniques with an emphasis on identified attacks against these systems and defenses implemented so far. Based on a study of five IoT programming platforms, we identify the key insights that result from research efforts in both the program analysis and security communities and relate the efficacy of program-analysis techniques to security and privacy issues. We conclude by studying recent IoT analysis systems and exploring their implementations. Through these explorations, we highlight key challenges and opportunities in calibrating for the environments in which IoT systems will be used.Comment: syntax and grammar error are fixed, and IoT platforms are updated to match with the submissio