Urban identity and colour : the case of Tirana, Albania

When an artist is put in charge of a city, he will use the town as his canvas. Edi Rama became Mayor of Tirana in 2000 and since them has undertaken an unusual and colourful renewal program for the Albania capital.

Face recognition across pose on video using eigen light-fields

We propose an approach to employ eigen light-fields for face recognition across pose on video. Faces of a subject are collected from video frames and combined based on the pose to obtain a set of probe light-fields. These probe data are then projected to the principal subspace of the eigen light-fields within which the classification takes place. We modify the original light-field projection and found that it is more robust in the proposed system. Evaluation on VidTIMIT dataset has demonstrated that the eigen light-fields method is able to take advantage of multiple observations contained in the video.

Hydrothermal syntheses of zeolite N from kaolin

Zeolite N, an EDI type framework structure with ideal chemical formula K12Al10Si10O40Cl2•5H2O, was produced from kaolin between 100oC and 200oC in a continuously stirred reactor using potassic and potassic+sodic liquors containing a range of anions. Reactions using liquors such as KOH, KOH + KX (where X = F, Cl, Br, I, NO3, NO2), K2X (where X=CO3), KOH + NaCl or NaOH + KCl were complete (>95% product) in less than two hours depending on the batch composition and temperature of reaction. With KOH and KCl in the reaction mixture and H2O/Al2O3~49, zeolite N was formed over a range of concentrations (1M < [KOH] < 18M) and reaction times (0.5h < t < 60h). At higher temperatures or higher KOH molarity, other potassic phases such as kalsilite or kaliophyllite formed. In general, temperature and KOH molarity defined the extent of zeolite N formation under these conditions. The introduction of sodic reagents to the starting mixture or use of one potassic reagent in the starting mixture reduced the stability field for zeolite N formation. Zeolite N was also formed using zeolite 4A as a source of Al and Si albeit for longer reaction times at a particular temperature when compared with kaolin as the source material.

Probabilistic matching of image sets for video-based face recognition

We address the problem of face recognition on video by employing the recently proposed probabilistic linear discrimi-nant analysis (PLDA). The PLDA has been shown to be robust against pose and expression in image-based face recognition. In this research, the method is extended and applied to video where image set to image set matching is performed. We investigate two approaches of computing similarities between image sets using the PLDA: the closest pair approach and the holistic sets approach. To better model face appearances in video, we also propose the heteroscedastic version of the PLDA which learns the within-class covariance of each individual separately. Our experi-ments on the VidTIMIT and Honda datasets show that the combination of the heteroscedastic PLDA and the closest pair approach achieves the best performance.

On the application of the probabilistic linear discriminant analysis to face recognition across expression

Facial expression is one of the main issues of face recognition in uncontrolled environments. In this paper, we apply the probabilistic linear discriminant analysis (PLDA) method to recognize faces across expressions. Several PLDA approaches are tested and cross-evaluated on the Cohn-Kanade and JAFFE databases. With less samples per gallery subject, high recognition rates comparable to previous works have been achieved indicating the robustness of the approaches. Among the approaches, the mixture of PLDAs has demonstrated better performances. The experimental results also indicate that facial regions around the cheeks, eyes, and eyebrows are more discriminative than regions around the mouth, jaw, chin, and nose.

The challenges in developing a strategic approach to managing diversity

Diversity management is recognised as a major challenge for organizations throughout the world. There is broad acceptance that when it comes to all aspects of workforce management major differences exist among individuals in terms of age, gender, national origin, physical capability, sexuality, religion and others. This chapter discusses the concept, meaning and application of managing that difference or ‘diversity’ through programs known as diversity management. It identifies and discusses the different contextual and theoretical approaches that frame diversity programs found in organizations today. A number of programs within different country contexts are examined. The discussion examines the challenges of diversity management its programs and its outcomes with a view to understanding the lessons learned and recommending future directions.

Heteroscedastic probabilistic linear discriminant analysis for manifold learning in video-based face recognition

To recognize faces in video, face appearances have been widely modeled as piece-wise local linear models which linearly approximate the smooth yet non-linear low dimensional face appearance manifolds. The choice of representations of the local models is crucial. Most of the existing methods learn each local model individually meaning that they only anticipate variations within each class. In this work, we propose to represent local models as Gaussian distributions which are learned simultaneously using the heteroscedastic probabilistic linear discriminant analysis (PLDA). Each gallery video is therefore represented as a collection of such distributions. With the PLDA, not only the within-class variations are estimated during the training, the separability between classes is also maximized leading to an improved discrimination. The heteroscedastic PLDA itself is adapted from the standard PLDA to approximate face appearance manifolds more accurately. Instead of assuming a single global within-class covariance, the heteroscedastic PLDA learns different within-class covariances specific to each local model. In the recognition phase, a probe video is matched against gallery samples through the fusion of point-to-model distances. Experiments on the Honda and MoBo datasets have shown the merit of the proposed method which achieves better performance than the state-of-the-art technique.

Gradual training of cascaded shape regression for facial landmark localization and pose estimation

Facial landmarks play an important role in face recognition. They serve different steps of the recognition such as pose estimation, face alignment, and local feature extraction. Recently, cascaded shape regression has been proposed to accurately locate facial landmarks. A large number of weak regressors are cascaded in a sequence to fit face shapes to the correct landmark locations. In this paper, we propose to improve the method by applying gradual training. With this training, the regressors are not directly aimed to the true locations. The sequence instead is divided into successive parts each of which is aimed to intermediate targets between the initial and the true locations. We also investigate the incorporation of pose information in the cascaded model. The aim is to find out whether the model can be directly used to estimate head pose. Experiments on the Annotated Facial Landmarks in the Wild database have shown that the proposed method is able to improve the localization and give accurate estimates of pose.

Equal employment opportunity and its links to the participation of women in the construction industry : the case of Australia

Australia is currently experiencing a resources boom and jobs in the male dominated fields of construction and engineering are at a premium. Employment in the construction industry, historically and today, is overwhelmingly male and, with an ageing population this predominately older male workforce will be retiring in greater numbers in the coming decade. Despite more that 25 years of anti- discrimination legislation and equal opportunity legislation these industries still employ few women in operational roles. This paper investigates the issue of the low representation of women in the construction industry. Our investigation involves the analysis of 95 organisation progress reports on the equal opportunity strategic programs in the construction industry. Findings indicate that this industry is not engaging with equal employment opportunity programs and further that equity outcomes for women in the industry are not evident.

The potential of XML technology as an answer to the data interchange problems of the construction industry

The complex supply chain relations of the construction industry, coupled with the substantial amount of information to be shared on a regular basis between the parties involved, make the traditional paper-based data interchange methods inefficient, error prone and expensive. The successful information technology (IT) applications that enable seamless data interchange, such as the Electronic Data Interchange (EDI) systems, have generally failed to be successfully implemented in the construction industry. An alternative emerging technology, Extensible Markup Language (XML), and its applicability to streamline business processes and to improve data interchange methods within the construction industry are analysed, as is the EDI technology to identify the strategic advantages that XML technology provides to overcome the barriers to implementation. In addition, the successful implementation of XML-based automated data interchange platforms for a large organization, and the proposed benefits thereof, are presented as a case study.

No worries – we’ll take care of it!! An examination into managing equality and inclusivity in multicultural Australia

This paper explores the various paths to equality and inclusivity developed in the past 40 years within the Australian workplace with a view to critically examining their capability of addressing diversity and equality within the cultural needs of a unique society. A society which struggles to overcome the tyranny of distance and a colonial past as it takes its place in the world as a global 1st world economy country in what is often considered ‘the global north’ despite its geographical location. Findings indicate that despite various legislative and non-legislative approaches including anti-discrimination; affirmative action; equal opportunity; managing diversity and more recently gender equality, the individual members of the many diverse groups in the Australian workplace still experience inferior work conditions and work opportunities.

Towards pose-robust face recognition on video

This thesis investigates face recognition in video under the presence of large pose variations. It proposes a solution that performs simultaneous detection of facial landmarks and head poses across large pose variations, employs discriminative modelling of feature distributions of faces with varying poses, and applies fusion of multiple classifiers to pose-mismatch recognition. Experiments on several benchmark datasets have demonstrated that improved performance is achieved using the proposed solution.

Women at work! evaluating equal employment policies and outcomes in construction

Purpose The purpose of this paper is to examine equal employment policies in Australia’s male-dominated construction industry and categorise the types of activities undertaken against an equal employment typology to identify links to outcomes for women in the form of increased participation and management. Design/methodology/approach To explore the issue of low representation of women in construction through the content analysis of 83 construction organisations’ equal employment opportunity (EEO) reports. Findings This industry is not engaging with equal employment issues and the numbers of women working in the industry and/or management are based on individual decision rather than an institutional commitment to equality in diversity. Research limitations/implications Australian legislation mandates organisational reporting of relevant data and offers public access to this information offering a unique data set. Practical implications An ageing population means that the predominately older male workforce is leaving construction in greater numbers with fewer potential replacements making new labour markets a vital consideration. Social implications Legislation and organisational policies designed to promote EEO for women have existed in numerous countries for decades. One objective of this legislation was to reduce male domination in senior positions and industries/occupations where women were under-represented. Despite this, few women are employed in construction in operational or management roles worldwide. Originality/value This study offers a comprehensive analysis of a male-dominated industry in one jurisdiction rather than a few selected cases and uses a broader rigorous typology for analysis that acknowledges both equal and different treatment options.