The Relation between work motivation and project management success in case of temporary organizations : theoretical lenses

The purpose of this paper is to present theoretical lenses that explain the relation between work motivation and project management success in case of temporary organizations such as projects. This paper is a part of the larger research study that first empirically identifies the constructs of work motivation in case of temporary organizations, and then empirically determines the relation between work motivation, and project management success. In the current paper, we have briefly reviewed the theories of work motivation from the work design school. These theories are predominantly drawn from the industrial/ organizational psychology literature. Then, we have considered the recent research on Nine Schools of Project Management as a point of departure to review theory on project management success. These theoretical perspectives are drawn from project management literature. We then illustrate the points of overlap for the theories drawn from these two disciplines. This review helps us to position our research study within the industrial/ organizational psychology, and project management literature as a cross-discipline study.

Work integrated learning: Exposure to professional practice : expectations and challenges

Prior to graduation engineering students are expected to provide evidence of relevant experience in the workplace. This experience is expected to provide opportunities for exposure to the profession and to help students develop confidence, skills and capabilities as emerging professionals. This investigation considers the expectations and challenges in implementing WIL programs in different contexts. While this will inform the next iteration of engineering course development at QUT the issues and interventions described provide useful insights into options available and engineering curriculum design more broadly. This comparative analysis across three phases highlights expectations and challenges including stakeholder responsibilities, expectations, and assessment. The study draws on the findings of a 2005 investigation into the purpose and provision of WIL and findings of a 2012 Faculty review of the current WIL model. The enhancement of WIL through a series of developmental phases highlights strengths and weaknesses of various models. It is anticipated that this investigation will inform course development decisions on a whole-of-course approach to WIL that improves student engagement and learning experience. The importance of WIL is not disputed. However with industry expectations, increasing student numbers and cohort diversity the ways in which students and industry currently engage in WIL are not sustainable and more creative, flexible and engaging approaches are needed.

An evaluation of different features and learning models for anomalous event detection

The huge amount of CCTV footage available makes it very burdensome to process these videos manually through human operators. This has made automated processing of video footage through computer vision technologies necessary. 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. There is no precise and exact definition for an abnormal activity; it is dependent on the context of the scene. Hence there is a requirement for different feature sets to detect different kinds of abnormal activities. In this work we evaluate the performance of different state of the art features to detect the presence of the abnormal objects in the scene. These include optical flow vectors to detect motion related anomalies, textures of optical flow and image textures to detect the presence of abnormal objects. These extracted features in different combinations are modeled using different state of the art models such as Gaussian mixture model(GMM) and Semi- 2D Hidden Markov model(HMM) to analyse the performances. Further we apply perspective normalization to the extracted features to compensate for perspective distortion due to the distance between the camera and objects of consideration. The proposed approach is evaluated using the publicly available UCSD datasets and we demonstrate improved performance compared to other state of the art methods.

Plain facts about pleading : how to work with r 166

The decision of Durward SC DCJ in OSM Group Pty Ltd v Holden [2013] QDC 151 involves a useful consideration of the requirements relating to the pleading of denials and non-admissions under the Uniform Civil Procedure Rules 1999 (Qld) (UCPR). In particular, the decision examines the extent of the obligations when pleading in response to allegations of law, or of mixed fact and law.

Asking for it? Practices and structures that perpetuate employee silence in pursuing customised work arrangements

A component of broader scholarship addressing the social context in which individuals work, has focused on the role of ‘employee voice’ in determining flexible-work outcomes (Donnelly et al., 2012). Employee voice incorporates a spectrum of practices designed to give employees a say in organisational decisions (Dundon et al., 2004). This paper extends work on voice and workplace flexibility in two ways. First, it focuses not simply on ‘voice’ but on its antithesis, employee silence, which is defined (following Van Dyne et al., 2003) as the intentional withholding of ideas and opinions. We utilise an alternative reading of silence to the majority of literature which interprets it as a product of employee motivation, by focusing on the role of management and by adopting a framework which considers silence as a control dialectic (Donaghey et al., 2011). Second, the study examines silence with respect to preferences for customising the terms/conditions of employment beyond narrowly defined notions of ‘flexible work’ (e.g., reduced hours; home-working). The study utilises 30 telephone interviews with employees who had been previously identified as ‘discontent non-requesters’ (Skinner and Pocock, 2011: 75), that is they had expressed a desire to request flexible working provisions, but had not done so. Interviewees were asked to articulate the reasons for, and consequences of, their silence. The findings reveal nuanced workplace practices and structures that close down possibilities for employee voice and perpetuate silence on matters relating to customising work. They also illustrate a disjuncture between espoused organizational goals and everyday practices and norms encountered in workplaces.

Odometry-driven inference to link multiple exemplars of a location

A major challenge for robot localization and mapping systems is maintaining reliable operation in a changing environment. Vision-based systems in particular are susceptible to changes in illumination and weather, and the same location at another time of day may appear radically different to a system using a feature-based visual localization system. One approach for mapping changing environments is to create and maintain maps that contain multiple representations of each physical location in a topological framework or manifold. However, this requires the system to be able to correctly link two or more appearance representations to the same spatial location, even though the representations may appear quite dissimilar. This paper proposes a method of linking visual representations from the same location without requiring a visual match, thereby allowing vision-based localization systems to create multiple appearance representations of physical locations. The most likely position on the robot path is determined using particle filter methods based on dead reckoning data and recent visual loop closures. In order to avoid erroneous loop closures, the odometry-based inferences are only accepted when the inferred path's end point is confirmed as correct by the visual matching system. Algorithm performance is demonstrated using an indoor robot dataset and a large outdoor camera dataset.

Autonomous movement-driven place recognition calibration for generic multi-sensor robot platforms

In this paper we present a method for autonomously tuning the threshold between learning and recognizing a place in the world, based on both how the rodent brain is thought to process and calibrate multisensory data and the pivoting movement behaviour that rodents perform in doing so. The approach makes no assumptions about the number and type of sensors, the robot platform, or the environment, relying only on the ability of a robot to perform two revolutions on the spot. In addition, it self-assesses the quality of the tuning process in order to identify situations in which tuning may have failed. We demonstrate the autonomous movement-driven threshold tuning on a Pioneer 3DX robot in eight locations spread over an office environment and a building car park, and then evaluate the mapping capability of the system on journeys through these environments. The system is able to pick a place recognition threshold that enables successful environment mapping in six of the eight locations while also autonomously flagging the tuning failure in the remaining two locations. We discuss how the method, in combination with parallel work on autonomous weighting of individual sensors, moves the parameter dependent RatSLAM system significantly closer to sensor, platform and environment agnostic operation.

Dealing with shadows : capturing intrinsic scene appearance for image-based outdoor localisation

In outdoor environments shadows are common. These typically strong visual features cause considerable change in the appearance of a place, and therefore confound vision-based localisation approaches. In this paper we describe how to convert a colour image of the scene to a greyscale invariant image where pixel values are a function of underlying material property not lighting. We summarise the theory of shadow invariant images and discuss the modelling and calibration issues which are important for non-ideal off-the-shelf colour cameras. We evaluate the technique with a commonly used robotic camera and an autonomous car operating in an outdoor environment, and show that it can outperform the use of ordinary greyscale images for the task of visual localisation.

Work and the Welfare State : Street-Level Organizations and Workfare Politics

Work and the Welfare State places street-level organizations at the analytic center of welfare state politics, policy and management. This volume offers a critical examination of efforts to change the welfare state to a workfare state by looking at on-the-ground issues in six countries: the United States, United Kingdom, Australia, Denmark, Germany and the Netherlands.

Intercontinental haptic teleoperation of a flying vehicle : a step towards real-time applications

This paper describes the theory and practice for a stable haptic teleoperation of a flying vehicle. It extends passivity-based control framework for haptic teleoperation of aerial vehicles in the longest intercontinental setting that presents great challenges. The practicality of the control architecture has been shown in maneuvering and obstacle-avoidance tasks over the internet with the presence of significant time-varying delays and packet losses. Experimental results are presented for teleoperation of a slave quadrotor in Australia from a master station in the Netherlands. The results show that the remote operator is able to safely maneuver the flying vehicle through a structure using haptic feedback of the state of the slave and the perceived obstacles.

Array of subarrays using adaptive element patterns

This paper explores the use of subarrays as array elements. Benefits of such a concept include improved gain in any direction without significantly increasing the overall size of the array and enhanced pattern control. The architecture for an array of subarrays will be discussed via a systems approach. Individual system designs are explored in further details and proof of principle is illustrated through a manufactured examples.

Editorial : Global 21st century professionals : developing capability to work with Indigenous and other traditionally-oriented peoples

International agreement on the framework for protecting the rights of Indigenous populations within nation states has occurred alongside unprecedented levels of globalisation of other previously nation-based activities such as economic and social provision and planning. As the idea of the postcolonial democratic state emerges, this collection undertakes an international and comparative examination of the role of higher education in educating globally aware professionals who are able to work effectively and in cultural safety with Indigenous Peoples...

Optimal camera planning under versatile user constraints in multi-camera image processing systems

The selection of optimal camera configurations (camera locations, orientations, etc.) for multi-camera networks remains an unsolved problem. Previous approaches largely focus on proposing various objective functions to achieve different tasks. Most of them, however, do not generalize well to large scale networks. To tackle this, we propose a statistical framework of the problem as well as propose a trans-dimensional simulated annealing algorithm to effectively deal with it. We compare our approach with a state-of-the-art method based on binary integer programming (BIP) and show that our approach offers similar performance on small scale problems. However, we also demonstrate the capability of our approach in dealing with large scale problems and show that our approach produces better results than two alternative heuristics designed to deal with the scalability issue of BIP. Last, we show the versatility of our approach using a number of specific scenarios.