Labyrinthine literacies : navigating cultural agency in the arrival and requiem for a beast

The OED reminds us as surely as Ovid that a labyrinth is a “structure consisting of a number of intercommunicating passages arranged in bewildering complexity, through which it is it difficult or impossible to find one’s way without guidance”. Both Shaun Tan’s The Arrival (2006) and Matt Ottley’s Requiem for a Beast: A Work for Image, Word and Music (2007) mark a kind of labyrinthine watershed in Australian children’s literature. Deploying complex, intercommunicating logics of story and literacy, these books make high demands of their reader but also offer guidance for the successful navigation of their stories; for their protagonists as surely as for readers. That the shared logic of navigation in each book is literacy as privileged form of meaning-making is not surprising in the sense that within “a culture deeply invested in myths of individualism and self-sufficiency, it is easy to see why literacy is glorified as an attribute of individual control and achievement” (Williams and Zenger 166). The extent to which these books might be read as exemplifying desired norms of contemporary Australian culture seems to be affirmed by the fact of Tan and Ottley winning the Australian “Picture Book of the Year” prize awarded by the Children’s Book Council of Australia in 2007 and 2008 respectively. However, taking its cue from Ottley’s explicit intertextual use of the myth of Theseus and from Tan’s visual rhetoric of lostness and displacement, this paper reads these texts’ engagement with tropes of “literacy” in order to consider the ways in which norms of gender and culture seemingly circulated within these texts might be undermined by constructions of “nation” itself as a labyrinth that can only partly be negotiated by a literate subject. In doing so, I argue that these picture books, to varying degrees, reveal a perpetuation of the “literacy myth” (Graff 12) as a discourse of safety and agency but simultaneously bear traces of Ariadne’s story, wherein literacy alone is insufficient for safe navigation of the labyrinth of culture.

Traffic incident clearance time and arrival time prediction based on hazard models

Accurate prediction of incident duration is not only important information of Traffic Incident Management System, but also an ffective input for travel time prediction. In this paper, the hazard based prediction odels are developed for both incident clearance time and arrival time. The data are obtained from the Queensland Department of Transport and Main Roads’ STREAMS Incident Management System (SIMS) for one year ending in November 2010. The best fitting distributions are drawn for both clearance and arrival time for 3 types of incident: crash, stationary vehicle, and hazard. The results show that Gamma, Log-logistic, and Weibull are the best fit for crash, stationary vehicle, and hazard incident, respectively. The obvious impact factors are given for crash clearance time and arrival time. The quantitative influences for crash and hazard incident are presented for both clearance and arrival. The model accuracy is analyzed at the end.

Tracking locomotive position to evaluate sugarcane railway schedules and predict arrival time

This research utilised software developed for managing the Australian sugar industry's cane rail transport operations and GPS data used to track locomotives to ensure safe operation of the railway system to improve transport operations. As a result, time usage in the sugarcane railway can now be summarised and locomotive arrival time to sidings and mills can be predicted. This information will help the development of more efficient run schedules and enable mill staff and harvesters to better plan their shifts ahead, enabling cost reductions through better use of available time.

Variation in exotic and native seed arrival and recruitment of bird dispersed species in subtropical forest restoration and regrowth

Invasive bird-dispersed plants often share the same suite of dispersers as co-occurring native species, resulting in a complex management issue. Integrated management strategies could incorporate manipulation of dispersal or establishment processes. To improve our understanding of these processes, we quantified seed rain, recruit and seed bank density, and species richness for bird-dispersed invasive and native species in three early successional subtropical habitats in eastern Australia: tree regrowth, shrub regrowth and native restoration plantings. We investigated the effects of environmental factors (leaf area index (LAI), distance to edge, herbaceous ground cover and distance to nearest neighbour) on seed rain, seed bank and recruit abundance. Propagule availability was not always a good predictor of recruitment. For instance, although native tree seed rain density was similar, and species richness was higher, in native plantings, compared with tree regrowth, recruit density and species richness were lower. Native plantings also received lower densities of invasive tree seed rain than did tree regrowth habitats, but supported a similar density of invasive tree recruits. Invasive shrub seed rain was recorded in highest densities in shrub regrowth sites, but recruit density was similar between habitats. We discuss the role of microsite characteristics in influencing post-dispersal processes and recruit composition, and suggest ways of manipulating these processes as part of an integrated management strategy for bird-dispersed weeds in natural areas.

Rabbi Leo Baeck's arrival at La Guardia Airport, New York from London for the Union of American Hebrew Congregations American Jewish Cavalcade Portraits; Groups

Sitting l-r Leo Baeck, Maurice N. Eisendrath, Oscar M. Lazrus; Standing l-r Jane Evans, Henry W. Levy, Saul Elgart, Rabbi Daniel L. Davis, Louis Rittenberg and Leonard H. Spring

Arrival of Ludwig Marum and other socialist leaders from Baden (Karlsruhe) to the concentration camp Kislau.

Includes l-r: Hermann Stenz, Adam Remmele, Erwin Sammet, Ludwig Marum, Gustav Heller, Sally Gruenebaum and August Furrer

Arrival of Baptized Jews Artworks

Digital Image

Arrival of Danish Jews in Theresienbad; Czech Gendarms Throwing Away Half Cigarette Stumps; Collecting Planks for Kumbal Artworks

postwar version of F 38346

Arrival of Danish Jews in Theresienbad Artworks

postwar version of F 38346

Arrival of Dutch Jews from Westerbork Artworks

postwar version of F 38354

Rabbi Leo Baeck's arrival at La Guardia Airport, New York from London for the Union of American Hebrew Congregations American Jewish Cavalcade Portraits; Groups

Sitting l-r Leo Baeck, Maurice N. Eisendrath, Oscar M. Lazrus; Standing l-r Jane Evans, Henry W. Levy, Saul Elgart, Rabbi Daniel L. Davis, Louis Rittenberg and Leonard H. Spring

Arrival of Ludwig Marum and other socialist leaders from Baden (Karlsruhe) to the concentration camp Kislau.

Includes l-r: Hermann Stenz, Adam Remmele, Erwin Sammet, Ludwig Marum, Gustav Heller, Sally Gruenebaum and August Furrer

A suprathreshold stochastic resonance based pre-processor for direction-of-arrival estimation

In this paper we propose a nonlinear preprocessor for enhancing the performance of processors used for direction-of-arrival (DOA) estimation in heavy-tailed non-Gaussian noise. The preprocessor based on the phenomenon of suprathreshold stochastic resonance (SSR), provides SNR gain. The preprocessed data is used for DOA estimation by the MUSIC algorithm. Simulation results are presented to show that the SSR preprocessor provides a significant improvement in the performance of MUSIC in heavy-tailed noise at low SNR.

A mathematical programming approach to optimal Markovian switching of Poisson arrival streams to queueing systems

Motivated by certain situations in manufacturing systems and communication networks, we look into the problem of maximizing the profit in a queueing system with linear reward and cost structure and having a choice of selecting the streams of Poisson arrivals according to an independent Markov chain. We view the system as a MMPP/GI/1 queue and seek to maximize the profits by optimally choosing the stationary probabilities of the modulating Markov chain. We consider two formulations of the optimization problem. The first one (which we call the PUT problem) seeks to maximize the profit per unit time whereas the second one considers the maximization of the profit per accepted customer (the PAC problem). In each of these formulations, we explore three separate problems. In the first one, the constraints come from bounding the utilization of an infinite capacity server; in the second one the constraints arise from bounding the mean queue length of the same queue; and in the third one the finite capacity of the buffer reflect as a set of constraints. In the problems bounding the utilization factor of the queue, the solutions are given by essentially linear programs, while the problems with mean queue length constraints are linear programs if the service is exponentially distributed. The problems modeling the finite capacity queue are non-convex programs for which global maxima can be found. There is a rich relationship between the solutions of the PUT and PAC problems. In particular, the PUT solutions always make the server work at a utilization factor that is no less than that of the PAC solutions.

Modified linear prediction method for directions of arrival estimation of narrow-band plane waves

A modified linear prediction (MLP) method is proposed in which the reference sensor is optimally located on the extended line of the array. The criterion of optimality is the minimization of the prediction error power, where the prediction error is defined as the difference between the reference sensor and the weighted array outputs. It is shown that the L2-norm of the least-squares array weights attains a minimum value for the optimum spacing of the reference sensor, subject to some soft constraint on signal-to-noise ratio (SNR). How this minimum norm property can be used for finding the optimum spacing of the reference sensor is described. The performance of the MLP method is studied and compared with that of the linear prediction (LP) method using resolution, detection bias, and variance as the performance measures. The study reveals that the MLP method performs much better than the LP technique.