77 research outputs found
Behrouz Boochani: Writing as Resilience and Resistance
No full textThis chapter is a case study of the extraordinary story of Kurdish-Iranian journalist and author Behrouz Boochani. Behrouz has spent his life as a member of a marginalised group, whether that be in his homeland of Iran where he was persecuted for preserving the Kurdish culture and language or in Papua New Guinea where he was persecuted as a refugee. Behrouz wrote his book, No Friend But The Mountains: Writing From Manus Prison (2018), secretly on a smartphone while held in detention on Manus Island and sent it in instalments to his translators in Australia via WhatsApp messages. After publication, it received several major literary prizes and is acclaimed as a masterpiece. This chapter looks at the process of writing as an act of resistance and resilience
Book review: No Friend but the Mountains: Writing from Manus Prison By Behrouz Boochani. Translated by Omid Tofighian. Sydney, Picador/Pan Macmillan Australia, 2018. xxxiv + 374 pp. ISBN 9781760555382 (pbk). AU$32.99.
No full textThe author, Behrouz Boochani, is a Kurdish-Iranian writer, journalist, filmmaker and was a prisoner on Manus Island..
Time, torture and Manus island: an interview with Behrouz Boochani and Omid Tofigian
No full textFormer asylum seeker detainee and journalist Behrouz Boochani (author of No Friend but the Mountains) and his collaborator Omid Tofighian speak about the experience of indefinite incarceration on Australia’s Manus Island and the psychological toll of waiting. They compare this form of detention to prison and the existential impact to torture. This Kyriarchal System, they argue, strips the individual of identity and humanity and they explain how such a system can perhaps be better questioned through the poetic fiction that Boochani has used in his path-breaking narrative than to appeal to dry rational facts and figures
Data communications and networking / Behrouz A. Forouzan with Sophia Chung Fegan.
No full textIncludes bibliographical references (p. 1107-1110) and index.xxxiv, 1134 pages.
Characterization of the differential susceptibility of dopamine neuronal populations in a mouse model of Parkinson's disease
No full textThesis (Ph. D.)--Michigan State University. Department of Neuroscience, 2008Includes bibliographical references (pages 271-303
(Meta)Physical Homelessness In Behrouz Boochani’s<i> No Friend But The Mountains</i>
No full textBehrouz Boochani is a Kurdish-Iranian writer who was detained on Manus Island for more than four years. In these years of detention he wrote, among other things, a book, written piecemeal in WhatsApp messages on his phone: No Friend but the Mountains. Although understandably sold as non-fiction and therefore marketed mostly as a testimony, Boochani’s interweaving of different genres renders the book resistant to classification, just as its author is difficult to define and ‘categorise’ in our world of nation states and borders. This article explores an important nucleus of Boochani’s book, a motif that runs through his narrative, both explicitly and figuratively: home and homelessness. I argue that the loss of home is normatively and performatively repeated in Manus Prison, presenting the prisoners with a form of discipline and violence that could be called both physical and metaphysical: after losing the right to their place, the detainees are gradually made to lose their ability to conceive a different world that includes the homeless
Prospective: A Data-Driven Technique to Predict Web Service Response Time Percentiles
No full textDelivering fast response times for user transactions is a critical requirement for Web services. Often, a Web service has Service Level Agreements (SLA) with its users that quantify how quickly the service has to respond to a user transaction. Typically, SLAs stipulate requirements for Web service response time percentiles, e.g., a specified target for the 95th percentile of response time. Violating SLAs can have adverse consequences for a Web service operator. Consequently, operators require systematic techniques to predict Web service response time percentiles. Existing prediction techniques are very time consuming since they often involve manual construction of queuing or machine learning models. To address this problem, we propose Prospective, a data-driven approach for predicting Web service response time percentiles. Given a specification for workload expected at the Web service over a planning horizon, Prospective uses historical data to offer predictions for response time percentiles of interest. At the core of Prospective is a lightweight simulator that uses collaborative filtering to estimate response time behaviour of the service based on behaviour observed historically. Results show that Prospective significantly outperforms other baseline techniques for a wide variety of workloads. In particular, the technique provides accurate estimates even for workload scenarios not directly observed in the historical data. We also show that Prospective can provide a Web service operator with accurate estimates of the types and numbers of Web service instances needed to avoid SLA violations.Library OA Fun
User Scheduling in Massive MIMO: A Joint Deep Learning and Genetic Algorithm Approach
No full textDue to the limited number of radio frequency (RF) chains in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) receivers using analog beamforming/hybrid beamforming, there is a restriction in scheduling the number of users in each transmission time interval. Therefore, fast and low-complexity user scheduling methods based on the instantaneous channel state information (CSI) are needed. In this paper, we propose novel user scheduling methods based on deep learning (DL) to reduce the size of the search space by using the learning capability of a deep neural network (DNN). We formulate the user scheduling combinatorial optimization problem as a regression problem followed by a user separation procedure through decision boundaries that are learned by a trained DNN. The decision boundaries are used to separate the users into two subsets. Then, one of the subsets is selected to be searched to find the users that maximize the sum-rate capacity. The proposed method can achieve a very low outage probability with a few number of searches. In order to achieve ergodic capacity with lower computation complexity, the proposed method is employed in combination with the genetic algorithm (GA) algorithm to take advantage of intelligent initial population selection. Our simulation results show that the proposed user scheduling methods can offer remarkably low complexity.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Signal Processing System
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