The promotion of sustainability agenda for facilities management through developing knowledge capabilities

The growing awareness of sustainability issues around the world has put extensive pressure on the construction industry to improve its sustainable practice. Sustainability principles need to be applied to not just during design and construction phase but the entire life cycle of a construction project. Compared to sustainability endeavours on earlier development phases, the pace to implement sustainability agenda during the operation and maintenance phase has not been as fast during past practices of facilities management (FM). Literature study suggests that sustainable practices in FM activities can bring substantial benefits such as reducing energy consumptions and waste, while increasing productivity, financial return and standing in the community. It also suggests several barriers which inhibit the implementation of sustainability in FM practices, including the lack of knowledge, discrepancy between capability and skills, and unwillingness of the FM personnel and organizations to adapt to new routines in order to implement sustainability in their business. The capabilities of FM personnel and organizations were regarded as the key enablers in managing sustainability knowledge. In a sustainable development context, capabilities are vital to the fostering of competency in an organization to innovate in a more sustainable way and support the agenda in an organization. Additionally, research which focused on people’s capabilities and skills is still lagging behind the efforts to develop guidelines, technical manuals and knowledge portals. Therefore, it is beneficial to explore the issues of capabilities in dealing with the implementation of sustainable practices in FM. This paper introduces a research project which is aimed at establishing a knowledge capabilities framework for promoting sustainability measures in FM practices. It will explore and highlight challenges to integrate sustainability as well as the personnel and organizational capabilities that are vital in dealing with knowledge issues in implementing sustainability agenda in FM practices. The expected outcome of this research has the potential to further sustainability endeavours in FM practices, while providing a useful source of knowledge to the FM personnel and organizations.

Engaging complexity through collaborative brand design

In this research we used inductive reasoning through design to understand how stakeholders in the Waterfall Way (New South Wales, Australia) perceive the relationships between themselves and the place they live in. This paper describes a collaborative design methodology used to release information about local identities, which guided the regional brand exercise. The methodology is explicit about the uncertainties and complexities of the design process and of its reception system. As such, it aims to engage with local stakeholders and experts in order to help elicit tacit knowledge and identify system patterns and trends that would possibly not be visible if a top-down expert-based process was used. Through collective design, local people were drawn together in search for a symbol to represent the meaning attached to their places/region in relation to sustainable tourism activity.

Front interactions in a three-component system

The three-component reaction-diffusion system introduced in [C. P. Schenk et al., Phys. Rev. Lett., 78 (1997), pp. 3781–3784] has become a paradigm model in pattern formation. It exhibits a rich variety of dynamics of fronts, pulses, and spots. The front and pulse interactions range in type from weak, in which the localized structures interact only through their exponentially small tails, to strong interactions, in which they annihilate or collide and in which all components are far from equilibrium in the domains between the localized structures. Intermediate to these two extremes sits the semistrong interaction regime, in which the activator component of the front is near equilibrium in the intervals between adjacent fronts but both inhibitor components are far from equilibrium there, and hence their concentration profiles drive the front evolution. In this paper, we focus on dynamically evolving N-front solutions in the semistrong regime. The primary result is use of a renormalization group method to rigorously derive the system of N coupled ODEs that governs the positions of the fronts. The operators associated with the linearization about the N-front solutions have N small eigenvalues, and the N-front solutions may be decomposed into a component in the space spanned by the associated eigenfunctions and a component projected onto the complement of this space. This decomposition is carried out iteratively at a sequence of times. The former projections yield the ODEs for the front positions, while the latter projections are associated with remainders that we show stay small in a suitable norm during each iteration of the renormalization group method. Our results also help extend the application of the renormalization group method from the weak interaction regime for which it was initially developed to the semistrong interaction regime. The second set of results that we present is a detailed analysis of this system of ODEs, providing a classification of the possible front interactions in the cases of $N=1,2,3,4$, as well as how front solutions interact with the stationary pulse solutions studied earlier in [A. Doelman, P. van Heijster, and T. J. Kaper, J. Dynam. Differential Equations, 21 (2009), pp. 73–115; P. van Heijster, A. Doelman, and T. J. Kaper, Phys. D, 237 (2008), pp. 3335–3368]. Moreover, we present some results on the general case of N-front interactions.

Developing authentic professional knowledge through transformative community engagement in an interdisciplinary service learning project

This showcase presents a preliminary analysis of a community service learning project designed to align more authentically with contemporary society and emerging constructs of professional knowledge. As described in the paper, the project involves a multidisciplinary group of students working collaboratively with a community organisation to find creative presponses to challenging issues concerning the organisation's identity, how it interfaces with stakeholders, and how it evidences its inclusive practice. Of particular interest is how the interdisciplinary practice of the students within a service learning context encouraged reconsideration of their world0view and their rols as future professionals. Also highlighted is the need for greater congruence between the goals of the project and the structural elements of the curriculum.

From tiers to tables – enhancing student experience through collaborative learning spaces

BACKGROUND Collaborative and active learning have been clearly identified as ways students can engage in learning with each other and the academic staff. Traditional tier based lecture theatres and the didactic style they engender are not popular with students today as evidenced by the low attendance rates for lectures. Many universities are installing spaces designed with tables for group interaction with evolutions on spaces such as the TEAL (Technology Enabled Active Learning) (Massachusetts Institute of Technology, n.d.) and SCALE-UP (Student-Centred Activities for Large-Enrolment Undergraduate Programs) (North Carolina State University, n.d.) models. Technology advances in large screen computers and applications have also aided the move to these collaborative spaces. How well have universities structured learning using these spaces and how have students engaged with the content, technology, space and each other? This paper investigates the application of collaborative learning in such spaces for a cohort of 800+ first year engineers in the context of learning about and developing professional skills representative of engineering practice. PURPOSE To determine whether moving from tiers to tables enhances the student experience. Does utilising technology rich, activity based, collaborative learning spaces lead to positive experiences and active engagement of first year undergraduate engineering students? In developing learning methodology and approach in new learning spaces, what needs to change from a more traditional lecture and tutorial configuration? DESIGN/METHOD A post delivery review and analysis of outcomes was undertaken to determine how well students and tutors engaged with learning in new collaborative learning spaces. Data was gathered via focus group and survey of tutors, students survey and attendance observations. The authors considered the unit delivery approach along with observed and surveyed outcomes then conducted further review to produce the reported results. RESULTS Results indicate high participation in the collaborative sessions while the accompanying lectures were poorly attended. Students reported a high degree of satisfaction with the learning experience; however more investigation is required to determine the degree of improvement in retained learning outcomes. Survey feedback from tutors found that students engaged well in the activities during tutorials and there was an observed improvement in the quality of professional practice modelled by students during sessions. Student feedback confirmed the positive experiences in these collaborative learning spaces with 30% improvement in satisfaction ratings from previous years. CONCLUSIONS It is concluded that the right mix of space, technology and appropriate activities does engage students, improve participation and create a rich experience to facilitate potential for improved learning outcomes. The new Collaborative Teaching Spaces, together with integrated technology and tailored activities, has transformed the delivery of this unit and improved student satisfaction in tutorials significantly.

Understanding pre-service teacher conceptual change through slowmation animation

This paper is an exploration of conceptual change. It reports on a study which utilised Hewson and Lemberger’s (2000) Conceptual Status Elements, and explores the unique contribution of Slowmation Animation in the conceptual learning of pre-service science teachers. 15 short animations were created by 55 participants in a single two hour tutorial class as a part of their methods training. Conceptual change was found to occur when their animation topic challenged their understandings of the processes within the scientific concept. The pre-service science teachers reported an enthusiasm for Slowmation Animation as a method for learning how to learn, as well as for highlighting what they thought they knew, but didn’t really know.

An open-source approach to music education through jam2jam XO

This article examines the philosophy and practice of open-source technology in the development of the jam2jam XO software for the One Laptop Per Child (OLPC) computer. It explores how open-source software principles, pragmatist philosophy, improvisation and constructionist epistemologies are operationalized in the design and development of music software, and how such reflection reveals both the strengths and weaknesses of the open-source software development paradigm. An overview of the jam2jam XO platform, its development processes and music educational uses is provided and resulting reflections on the strengths and weaknesses of open-source development for music education are discussed. From an educational and software development perspective, the act of creating open-source software is shown to be a valuable enterprise, however, just because the source code, creative content and experience design are accessible and 'open' to be changed, does not guarantee that educational practices in the use of that software will change. Research around the development and use of jam2jam XO suggests that open-source software development principles can have an impact beyond software development and on to aspects of experience design and learning relationships.

Framing sexual harassment through media representations

This article examines mainstream news media texts reporting sexual harassment in four industrialized countries. The study first identifies the aspects of sexual harassment cases considered newsworthy by asking how the media texts characterize such cases. Second, the study illuminates the discourses evident in these texts, which are theorized as a mode by which understandings of workplace gender (in)equality shape, and are shaped by, individuals, organizations and the community. The analysis reveals that the media most frequently reports “classic” sexual harassment and emphasizes scandalous allegations and overtly sexualized conduct. The hegemony of a discourse of sexual harassment as an individualized problem of inappropriate employee behavior is also evident. By contrast, discourses presenting sexual harassment as a systemic issue, or as symptomatic of broader gender inequality, are less frequent. We argue that these media representations limit opportunities to frame sexual harassment as dynamic, complex, and part of the practice of gendering in and beyond organizational boundaries.

Greener workplace: An examination of Green HR initiatives adoption through the theory of planned behaviour lens

The goal of this article is to propose the model of green human resource initiatives adoption. Based on innovation management and psychology literatures, attitude, pressure and controllability are key drivers for organizational change. Data were collected from 210 organizations in Australia. Results indicated that attitude, pressure and controllability significantly influenced the firms’ adoption of green HR initiatives. Attitude and resource availability especially had greater impacts than pressure. Limitation, implications and future researches are also outlined.

Sequential slotted amplify-and-forward with partial relay isolation

In this paper, we propose a novel relay ordering and scheduling strategy for the sequential slotted amplify-and-forward (SAF) protocol and evaluate its performance in terms of diversity-multiplexing trade-off (DMT). The relays between the source and destination are grouped into two relay clusters based on their respective locations. The proposed strategy achieves partial relay isolation and decreases the decoding complexity at the destination. We show that the DMT upper bound of sequential-SAF with the proposed strategy outperforms other amplify and forward protocols and is more practical compared to the relay isolation assumption made in the original paper [1]. Simulation result shows that the sequential-SAF protocol with the proposed strategy has better outage performance compared to the existing AF and non-cooperative protocols in high SNR regime.

Sequential slotted amplify-decode-and-forward

In this paper, we propose a novel slotted hybrid cooperative protocol named the sequential slotted amplify-decodeand-forward (SADF) protocol and evaluate its performance in terms of diversity-multiplexing trade-off (DMT). The relays between the source and destination are divided into two different groups and each relay either amplifies or decodes the received signal. We first compute the optimal DMT of the proposed protocol with the assumption of perfect decoding at the DF relays. We then derive the DMT closed-form expression of the proposed sequential-SADF and obtain the proximity gain bound for achieving the optimal DMT. With the proximity gain bound, we then found the distance ratio to achieve the optimal DMT performance. Simulation result shows that the proposed protocol with high proximity gain outperforms other cooperative communication protocols in high SNR regime.

Student or scholar? Transforming identities through a research writing group

This article explores the role a writing group played in influencing the scholarly identities of a group of doctoral students by fostering their writing expertise. While the interest in writing groups usually centres on their potential to support doctoral students to publish, few studies have been conducted and written by the students themselves. Using a situated learning perspective on identity, we explore the connection that emerged between our perceptions of ourselves as developing expertise as scholarly writers and the function of the writing group as a dynamic space for transforming our identities. Findings show that our writing group served as a flexible and interactive Community of Practice (CoP) that shaped critical and durable shifts in identity amongst members.

Anomalous event detection using a semi-two dimensional hidden Markov model

The rapid increase in the deployment of CCTV systems has led to a greater demand for algorithms that are able to process incoming video feeds. These algorithms are designed to extract information of interest for human operators. During the past several years, there has been a large effort to detect abnormal activities through computer vision techniques. Typically, the problem is formulated as a novelty detection task where the system is trained on normal data and is required to detect events which do not fit the learned `normal' model. Many researchers have tried various sets of features to train different learning models to detect abnormal behaviour in video footage. In this work we propose using a Semi-2D Hidden Markov Model (HMM) to model the normal activities of people. The outliers of the model with insufficient likelihood are identified as abnormal activities. Our Semi-2D HMM is designed to model both the temporal and spatial causalities of the crowd behaviour by assuming the current state of the Hidden Markov Model depends not only on the previous state in the temporal direction, but also on the previous states of the adjacent spatial locations. Two different HMMs are trained to model both the vertical and horizontal spatial causal information. Location features, flow features and optical flow textures are used as the features for the model. The proposed approach is evaluated using the publicly available UCSD datasets and we demonstrate improved performance compared to other state of the art methods.

Spatio temporal feature evaluation for action recognition

Spatio-Temporal interest points are the most popular feature representation in the field of action recognition. A variety of methods have been proposed to detect and describe local patches in video with several techniques reporting state of the art performance for action recognition. However, the reported results are obtained under different experimental settings with different datasets, making it difficult to compare the various approaches. As a result of this, we seek to comprehensively evaluate state of the art spatio- temporal features under a common evaluation framework with popular benchmark datasets (KTH, Weizmann) and more challenging datasets such as Hollywood2. The purpose of this work is to provide guidance for researchers, when selecting features for different applications with different environmental conditions. In this work we evaluate four popular descriptors (HOG, HOF, HOG/HOF, HOG3D) using a popular bag of visual features representation, and Support Vector Machines (SVM)for classification. Moreover, we provide an in-depth analysis of local feature descriptors and optimize the codebook sizes for different datasets with different descriptors. In this paper, we demonstrate that motion based features offer better performance than those that rely solely on spatial information, while features that combine both types of data are more consistent across a variety of conditions, but typically require a larger codebook for optimal performance.