Global software development : the next RE frontier?

Requirements Engineers face an emerging set of challenges, which compound the traditional Requirements Engineering (RE) challenges (stakeholder identification, domain expertise, communication, analytic skills, problem solving, ...) that have arguably still not been fully addressed. This is the challenge of RE in the world of global software development, with requirements teams working in virtual mode (possibly on different continents), with the software having to operate in multiple contexts, addressing the needs of different cultures and legal jurisdictions, and having to build sales in different marketplaces. Further the need arises to specify software that is progressively enhanced through regular releases, rather than the “green field” specification of products.

This theoretical paper introduces these challenges, and presents an initial selection of theoretical models, drawn from many and varied source disciplines, which might be employed to gain insight into various features of RE in support of global software development. To illustrate the potential relevance of this selection of models, a longitudinal case study with a recently identified software developer, to follow the specification and subsequent roll-out of a future release of a software product for sale globally, is introduced. Features of the situation faced by that organisation are highlighted, to illustrate the potential relevance of the diverse models that have been identified.

Museum marketing competing in the global marketplace

Museums have moved from a product to a marketing focus within the last ten years. This has entailed a painful reorientation of approaches to understanding visitors as customers; new ways of fundraising and sponsorship as government funding decreases; and grappling with using the internet for marketing. This book brings the latest in marketing thinking to bear on the museum sector taking into account both the commercial issues and social mission it involves. Carefully structured to be highly accessible the book offers:
* A contemporary and relevant and global approach to museum marketing written by authors in Britain, Australia, the United States, and Asia
* An approach that reflects the particular challenges museums of varying sizes face when seeking to market an experience to a diverse set of stakeholders: audience; funders; sponsors and government.
* A particular focus on museum marketing in the 'Information Age'
* Major case studies at the beginning and end of each section of the book, and smaller case studies within chapters The hugely experienced author team, includes both leading academics and practitioners to ensure the book has broad appeal and is both relevant, innovative and progressive in approach. It will be essential reading for students in museum studies, non-profit marketing, and arts management and marketing. It will also be equally relevant for professionals working in and managing museums and galleries, heritage attractions and ministries of arts.
* The most up-to-date treatment of marketing museums with a global approach
* Blend of academic and practitioner expertise to appeal to students and professionals seeking a contemporary and relevant approach
* Features a range of international case studies that demonstrate the museum experience and draw out the particular challenges that museums and galleries of varying sizes and types face in the global marketplace

Extracting fingerprint features using textures

Personal identification of individuals is becoming increasingly adopted in society today. Due to the large number of electronic systems that require human identification, faster and more secure identification systems are pursued. Biometrics is based upon the physical characteristics of individuals; of these the fingerprint is the most common as used within law enforcement. Fingerprint-based systems have been introduced into the society but have not been well received due to relatively high rejection rates and false acceptance rates. This limited acceptance of fingerprint identification systems requires new techniques to be investigated to improve this identification method and the acceptance of the technology within society. Electronic fingerprint identification provides a method of identifying an individual within seconds quickly and easily. The fingerprint must be captured instantly to allow the system to identify the individual without any technical user interaction to simplify system operation. The performance of the entire system relies heavily on the quality of the original fingerprint image that is captured digitally. A single fingerprint scan for verification makes it easier for users accessing the system as it replaces the need to remember passwords or authorisation codes. The identification system comprises of several components to perform this function, which includes a fingerprint sensor, processor, feature extraction and verification algorithms. A compact texture feature extraction method will be implemented within an embedded microprocessor-based system for security, performance and cost effective production over currently available commercial fingerprint identification systems. To perform these functions various software packages are available for developing programs for windows-based operating systems but must not constrain to a graphical user interface alone. MATLAB was the software package chosen for this thesis due to its strong mathematical library, data analysis and image analysis libraries and capability. MATLAB enables the complete fingerprint identification system to be developed and implemented within a PC environment and also to be exported at a later date directly to an embedded processing environment. The nucleus of the fingerprint identification system is the feature extraction approach presented in this thesis that uses global texture information unlike traditional local information in minutiae-based identification methods. Commercial solid-state sensors such as the type selected for use in this thesis have a limited contact area with the fingertip and therefore only sample a limited portion of the fingerprint. This limits the number of minutiae that can be extracted from the fingerprint and as such limits the number of common singular points between two impressions of the same fingerprint. The application of texture feature extraction will be tested using variety of fingerprint images to determine the most appropriate format for use within the embedded system. This thesis has focused on designing a fingerprint-based identification system that is highly expandable using the MATLAB environment. The main components that are defined within this thesis are the hardware design, image capture, image processing and feature extraction methods. Selection of the final system components for this electronic fingerprint identification system was determined by using specific criteria to yield the highest performance from an embedded processing environment. These platforms are very cost effective and will allow fingerprint-based identification technology to be implemented in more commercial products that can benefit from the security and simplicity of a fingerprint identification system.

Global trends in marine nutraceuticals

An expanding body of scientific research indicates that the marine environment is emerging as a unique resource of functional food ingredients with health-promoting properties. Significant attention has been paid to exploration of potential nutraceuticals and pharmaceuticals derived from the ocean. Marine-based  nutraceuticals are gaining attention due to their unique features, which are absent in terrestrial-based resources. A number of new marine nutraceutical products have been introduced in the nutraceuticals and functional foods markets. The main sources and products of primary interest for marine nutraceuticals and ingredients include omega-3 fish/algal oil, phospholipids, micro/macro algal nutrition supplements, fish proteins and peptides, hydrolysates, shellfish chitin, fish collagen, and mineral supplements.

Do oil prices predict economic growth? New global evidence

In this paper, we test whether oil price predicts economic growth for 28 developed and 17 developing countries. We use predictability tests that account for the key features of the data, namely, persistency, endogeneity, and heteroskedasticity. Our analysis considers a large number of countries, shows evidence of more out-of-sample predictability with nominal than real oil prices, finds in-sample predictability to be independent of the use of nominal and real prices, and reveals greater evidence of predictability for developed countries.

Global perspectives on the politics of multiculturalism in the 21st century: a case study analysis

Multiculturalism is now seen by many of its critics as the source of intercultural and social tensions, fostering communal segregation and social conflicts. While the cultural diversity of contemporary societies has to be acknowledged as an empirical and demographic fact, whether multiculturalism as a policy offers an optimal conduit for intercultural understanding and social harmony has become increasingly a matter of polarised public debate.
This book examines the contested philosophical foundations of multiculturalism and its, often controversial, applications in the context of migrant societies. It also explores the current theoretical debates about the extent to which multiculturalism, and related conceptual constructs, can account for the various ethical challenges and policy dilemmas surrounding the management of cultural diversity in our contemporary societies. The authors consider common conceptual and empirical features from a transnational perspective through analysis of the case studies of Australia, Canada, Columbia, Germany, New Zealand, the United Kingdom and Uruguay.

Global students for global education research?

In this chapter we discuss the importance of ‘internationalising’ the experience of education research students. First, we look at some features of the increasingly globalised landscape of education and education research and consider three main reasons for urging students to join international networks during their period of study. We then take two examples of contemporary developments in international networking, one at a European level and one at a global level, before concluding by suggesting a number of steps that supervisors and students might take to ensure that they engage effectively with the global education research community.

CCTV scene perspective distortion estimation from low-level motion features

Our aim is to estimate the perspective-effected geometric distortion of a scene from a video feed. In contrast to most related previous work, in this task we are constrained to use low-level spatiotemporally local motion features only. This particular challenge arises in many semiautomatic surveillance systems that alert a human operator to potential abnormalities in the scene. Low-level spatiotemporally local motion features are sparse (and thus require comparatively little storage space) and sufficiently powerful in the context of video abnormality detection to reduce the need for human intervention by more than 100-fold. This paper introduces three significant contributions. First, we describe a dense algorithm for perspective estimation, which uses motion features to estimate the perspective distortion at each image locus and then polls all such local estimates to arrive at the globally best estimate. Second, we also present an alternative coarse algorithm that subdivides the image frame into blocks and uses motion features to derive block-specific motion characteristics and constrain the relationships between these characteristics, with the perspective estimate emerging as a result of a global optimization scheme. Third, we report the results of an evaluation using nine large sets acquired using existing closed-circuit television cameras, not installed specifically for the purposes of this paper. Our findings demonstrate that both proposed methods are successful, their accuracy matching that of human labeling using complete visual data (by the constraints of the setup unavailable to our algorithms).