A neural-network based flight controller for UASs

This paper presents a nonlinear gust-attenuation controller based on constrained neural-network (NN) theory. The controller aims to achieve sufficient stability and handling quality for a fixed-wing unmanned aerial system (UAS) in a gusty environment when control inputs are subjected to constraints. Constraints in inputs emulate situations where aircraft actuators fail requiring the aircraft to be operated with fail-safe capability. The proposed controller enables gust-attenuation property and stabilizes the aircraft dynamics in a gusty environment. The proposed flight controller is obtained by solving the Hamilton-Jacobi-Isaacs (HJI) equations based on an policy iteration (PI) approach. Performance of the controller is evaluated using a high-fidelity six degree-of-freedom Shadow UAS model. Simulations show that our controller demonstrates great performance improvement in a gusty environment, especially in angle-of-attack (AOA), pitch and pitch rate. Comparative studies are conducted with the proportional-integral-derivative (PID) controllers, justifying the efficiency of our controller and verifying its suitability for integration into the design of flight control systems for forced landing of UASs.

Nuclear instruments and methods in physics research section B : beam interactions with materials and atoms

The impact-induced deposition of Al13 clusters with icosahedral structure on Ni(0 0 1) surface was studied by molecular dynamics (MD) simulation using Finnis–Sinclair potentials. The incident kinetic energy (Ein) ranged from 0.01 to 30 eV per atom. The structural and dynamical properties of Al clusters on Ni surfaces were found to be strongly dependent on the impact energy. At much lower energy, the Al cluster deposited on the surface as a bulk molecule. However, the original icosahedral structure was transformed to the fcc-like one due to the interaction and the structure mismatch between the Al cluster and Ni surface. With increasing the impinging energy, the cluster was deformed severely when it contacted the substrate, and then broken up due to dense collision cascade. The cluster atoms spread on the surface at last. When the impact energy was higher than 11 eV, the defects, such as Al substitutions and Ni ejections, were observed. The simulation indicated that there exists an optimum energy range, which is suitable for Al epitaxial growth in layer by layer. In addition, at higher impinging energy, the atomic exchange between Al and Ni atoms will be favourable to surface alloying.

Urban Indigenous AOD treatment programs : addressing the lack of evaluative research of culturally appropriate youth services

This presentation discusses the limited research of urban rehabilitation service evaluations and assesses the progress of Goori House Rehabilitation Service, identifying issues preventing a sustainable organisational future.

Revisiting educational equity and quality in China through confucianism, policy, research, and practice

The promotion of educational equity and improvement of educational quality in China are contextualised in tenets of Confucianism and policy directives, inspiring educational research and practice. In this paper, we first explore the historical and cultural roots of educational equity and quality through Confucianism and elaborate on the current policy priority that aims to address educational equity and quality. We then present an overview of research on equity and quality in Chinese education. Informed by Confucianism, policy, and research, we pose a framework to structure our investigation and analysis of three illustrative examples, namely the Special Post Teacher Plan, amalgamation of rural schools, and schooling of floating children. Drawing insights from Confucianism, policy, research, and practice, we conclude that the promotion of educational equity through high quality provision of education for disadvantaged groups can help to narrow the gap in educational quality currently existing in China.

Comparing and complementing methods : traditional market research vs. deep customer insights

Quantitative market data has traditionally been used throughout marketing and business as a tool to inform and direct design decisions. However, in our changing economic climate, businesses need to innovate and create products their customers will love. Deep customer insight methods move beyond just questioning customers and aims to provoke true emotional responses in order to reveal new opportunities that go beyond functional product requirements. This paper explores traditional market research methods and compares them to methods used to gain deep customer insights. This study reports on a collaborative research project with seven small to medium enterprises and four multi-national organisations. Firms were introduced to a design led innovation approach, and were taught the different methods to gain deep customer insights. Interviews were conducted to understand the experience and outcomes of pre-existing research methods and deep customer insight approaches. Findings concluded that deep customer insights were unlikely to be revealed through traditional market research techniques. The theoretical outcome of this study is a complementary methods matrix, providing guidance on appropriate research methods in accordance to a project’s timeline.

Emotionate : an emerging research agenda

The creation of value through emotion has been previously explored through product design, marketing and consumer hedonics. While the notion of value creation is an important driver in business model generation, understanding what the customer honestly values and why, also needs to be considered. However, the role of emotion as a source of innovation, spanning business model creation to customer experience is not yet well understood. This research investigates how the inclusion of emotion will impact the design of a business model and business operations. A brief overview of relevant literature, the research gap and question, along with the future direction of this research is discussed in this paper.

Giving Australia:Research on Philanthropy in Australia. Summary of Findings

The ‘Giving Australia’ project is an initiative of the Prime Minister’s Community Business Partnership, coordinated by the Australian Council of Social Service (ACOSS) in collaboration with the Centre for Australian Community Organisations and Management (CACOM) at the University of Technology, Sydney, the Australian Centre of Philanthropy and Nonprofit Studies (ACPNS)at the Queensland University of Technology, Roy Morgan Research (RMR),McNair Ingenuity Research and the Fundraising Institute - Australia (FIA).

Doctrinal research : researching the jury

This chapter examines the doctrinal methodology which many lawyers consider best typifies a distinctly legal approach to research. Legal research skills have been identified as a core skill for lawyers, and within the profession, such skills are regarded as synonymous with the doctrinal research method. Good legal research skills are a necessary step in attaining the ability to ‘think like a lawyer’ and achieving valid legal reasoning outcomes. For lawyers, therefore, the doctrinal method is an intuitive aspect of legal work. Yet as this chapter demonstrates, the doctrinal methodology is not without its detractors. There have been serious criticisms of the method put forward by exponents of the various critical legal theories, as well as a perception in some academic circles that the doctrinal research method is nothing more than mere ‘scholarship’ and as a result less compelling or respected than the research methods used by those in the sciences and social sciences. Despite these attacks, and the incursions on the method posed by the growth in the use of non-doctrinal and interdisciplinary research work by lawyers, the argument put forward in this chapter is that the doctrinal method still necessarily forms the basis for most, if not all, legal research projects.

Introducing Masculinity Studies to Information Systems research : the case of Gaydar

I believe that studies of men's gendered experiences of information systems are needed. In order to support this claim, I introduce the area of Masculinity Studies to Information Systems research and, using this, present an exploratory analysis of an internet dating website for gay men – Gaydar. The information system, which forms part of the Gaydar community, is shown to shape, and be shaped by the members as they accept and challenge aspects of it as related to their identities. In doing this, I show how the intertwined processes of information systems development and use contribute to the creation of diverse interpretations of masculinity within a group of men. In sum, my analysis highlights different kinds of men and different versions of masculinity that can sometimes be associated with different experiences of information systems. The implications of this work centre on the need to expand our knowledge of men's gendered experiences with information systems, to reflect upon processes of technology facilitated categorisation and to consider the influences that contribute to the roll out of particular software features along with the underlying rationales for market segmentation in the software and software-based services industries.

Locating packaged software in information systems research

The papers in this issue focus our attention to packaged software as an increasingly important, but still relatively poorly understood phenomena in the information systems research community. The topic is not new: Lucas et al. (1988) wrote a provocative piece focused on the issues with implementing packaged software. A decade later, Carmel (1997) argued that packaged software was both ideally suited for American entrepreneurial activity and rapidly growing. The information systems research community, however, has moved more slowly to engage this change (e.g., Sawyer, 2001). The papers in this special issue represent a significant step in better engaging the issues of packaged software relative to information systems research, and highlighting opportunities for additional relevant research.

A Worthwhile Exchange - a Guide to Indigenous Philanthropy: research findings and success stories from philanthropy supporting Aboriginal and Torres Straight Islander People.

The Guide includes research findings from the Australian Centre for Philanthropy and Non Profit Studies at the Queensland University of Technology (QUT). This research probed the experiences of fourteen Indigenous people who have had different degrees of success in seeking funding from philanthropic organisations. This research shows how grantmakers can make a significant difference in the lives of Aboriginal and Torres Strait Islander people.

Diversifying Information Literacy Research : An Informed Learning Perspective

This article uses the idea of informed learning, an interpretation of information literacy that focuses on people’s information experiences rather than their skills or attributes, to analyse the character of using information to learn in diverse communities and settings, including digital, faith, indigenous and ethnic communities. While researchers of information behaviour or information seeking and use have investi- AU :2 gated people’s information worlds in diverse contexts, this work is still at its earliest stages in the information literacy domain. To date, information literacy research has largely occurred in what might be considered mainstream educational and workplace contexts, with some emerging work in community settings. These have been mostly in academic libraries, schools and government workplaces. What does information literacy look like beyond these environments? How might we understand the experience of effective information use in a range of community settings, from the perspective of empirical research and other sources? The article concludes by commenting on the significance of diversifying the range of information experience contexts,for information literacy research and professional practice.

Aircraft collision avoidance using spherical visual predictive control and single point features

This paper presents practical vision-based collision avoidance for objects approximating a single point feature. Using a spherical camera model, a visual predictive control scheme guides the aircraft around the object along a conical spiral trajectory. Visibility, state and control constraints are considered explicitly in the controller design by combining image and vehicle dynamics in the process model, and solving the nonlinear optimization problem over the resulting state space. Importantly, range is not required. Instead, the principles of conical spiral motion are used to design an objective function that simultaneously guides the aircraft along the avoidance trajectory, whilst providing an indication of the appropriate point to stop the spiral behaviour. Our approach is aimed at providing a potential solution to the See and Avoid problem for unmanned aircraft and is demonstrated through a series.

Automated marine mammal detection from aerial imagery

This paper presents two algorithms to automate the detection of marine species in aerial imagery. An algorithm from an initial pilot study is presented in which morphology operations and colour analysis formed the basis of its working principle. A second approach is presented in which saturation channel and histogram-based shape profiling were used. We report on performance for both algorithms using datasets collected from an unmanned aerial system at an altitude of 1000 ft. Early results have demonstrated recall values of 48.57% and 51.4%, and precision values of 4.01% and 4.97%.

Detection of dugongs from unmanned aerial vehicles

Monitoring and estimation of marine populations is of paramount importance for the conservation and management of sea species. Regular surveys are used to this purpose followed often by a manual counting process. This paper proposes an algorithm for automatic detection of dugongs from imagery taken in aerial surveys. Our algorithm exploits the fact that dugongs are rare in most images, therefore we determine regions of interest partially based on color rarity. This simple observation makes the system robust to changes in illumination. We also show that by applying the extended-maxima transform on red-ratio images, submerged dugongs with very fuzzy edges can be detected. Performance figures obtained here are promising in terms of degree of confidence in the detection of marine species, but more importantly our approach represents a significant step in automating this type of surveys.