28579 research outputs found
Sort by
Live Performance in the Age of Technological Mediatisation
Get PDFBased on research into the work of live performers in the UK during and after the COVID‐19 pandemic and utilising Walter Benjamin's (1969) concept of authentic, or ‘auratic’ art, this article examines the use of livestreaming platforms by these performers during this time. In doing so, it reveals how, despite structural inequalities, this technology offered performers not only the chance to continue working but also to broaden ideas about what constitutes the auratic qualities of live performance. Specifically, as interactive livestreaming technology expanded the performative space of 'live', it also enhanced the scope for intersubjective participation amongst a wider audience. As a consequence, it provided a means for performers to sustain their livelihoods and explore new ways for their work to remain meaningful and immediate, thereby raising questions about the role of ontology as a yardstick to evaluate the nature of ‘live’ entertainment and the work that produces it
The politics of weather in early modern England
Get PDFAn exercise in a cultural history of early modern weather that focuses on contemporary understanding of the meaning of weather events, this article seeks to extend how historians can read the ‘political’ in early modern England. Since talking about the weather was an everyday activity, it argues that weather talk was a political resource open to all and anyone could offer an opinion about the meaning of unseasonal or extreme weather events. This could give rise to an everyday politics, participation in which required neither literacy nor print. Weather talk troubled successive early modern English monarchs. That God spoke through the weather made weather talk political. Post-Reformation, the confessionalization of responses to the weather meant that competing providential explanations for the weather–catholic, protestant, puritan–could be used to assert or attack the legitimacy of the regime in church and state
Outsourcing Crimmigration Control Digital Borders, the IOM, and Biometric Statehood
Get PDFDigital technologies have reshaped the boundaries of criminal justice and border control. The merger of these fields has resulted in technologically mediated practices of ‘crimmigration control’ on a global level. This book examines the role of the International Organization for Migration (IOM) and its Migration Information and Data Analysis System (MIDAS) in shaping these digital crimmigration control practices. Drawing on interdisciplinary scholarship to develop a novel theoretical framework for understanding the political effects of MIDAS, this book analyses empirical data gathered through elite interviews, document analysis, and non-participant field observations in Abuja, Nigeria. This book reveals how the deployment of MIDAS was underpinned by political and epistemic postcolonial hierarchies between Global North states, the IOM, and Nigerian federal authorities, and how the system contributed to the emergence and expansion of crimmigration control in Nigeria. The deployment of MIDAS was decisively shaped by the agency of Nigerian federal officials. These officials utilized MIDAS in performances of ‘biometric statehood’ to affirm their political authority domestically vis-à-vis competing political actors and constitute the Nigerian state as a legitimate actor within the international system of sovereign states. The IOM, in turn, engaged in ‘pedagogical performances’ to enact its technical expertise and supposed political neutrality while reshaping the legal, operational, and technical nature of border management in Nigeria. In addition to the political goals of the system’s human developers and users, the technical components of MIDAS itself constituted migration as a governable ‘problem’ amenable to techno-solutionist crimmigration control interventions. The analysis in this book contributes to the Southernization and decolonization of criminology, as well as the development of more just and equitable digital futures at the border
On Curiosity as Epistemic Vice
No full textWhat does Heidegger mean by “curiosity” and why does he characterize it as a kind of epistemic vice, when most contemporary accounts view it as a virtue? Being and Time disparagingly notes that curiosity “concerns itself with a kind of knowing, but just in order to have known” (BT 217/172); the curious person busies herself with “entertaining ‘incidentals’” (BT 358/310). Building on previous work – wherein I argue that virtues are best understood as tendencies to cope well with existential obstacles to flourishing (McMullin 2019) – I show that curiosity as Heidegger frames it is an epistemically vicious misunderstanding of self and world arising in large part from our tendencies toward impatience, arrogance, and fear. Because Heidegger’s account of curiosity in Being and Time is not well-developed, we will look at nearby texts to get a better understanding of this sometimes-overlooked concept in Heidegger’s corpus
On Optimizing Inter- and Intra-chiplet Interconnection Topologies for Robust Multi-chiplet Systems
Get PDFInter-and intra-chiplet interconnection networks play a vital role in the operation of many core systems made of multiple chiplets. However, these networks are susceptible to faults caused by manufacturing defects and attacks resulting from the malicious insertion of hardware Trojans and backdoors. Unlike conventional fault-tolerant or countermeasure methods, this paper focuses on optimizing network robustness to withstand both faults and attacks, while considering the constraints of chiplet area and power budget. To achieve this, this paper first defines network robustness as a quantifiable measure based on various network parameters, after which an optimization problem is formulated to optimize the robustness of the network topology. To efficiently solve this problem, a reinforcement learning algorithm is proposed. Experimental results demonstrate that the proposed method is capable of generating inter-and intra-chiplet interconnection networks that are significantly more robust than existing topology generation methods. Specifically, the proposed method improves robustness over ButterDonut and Kite, respectively by an average of 10.88% and 14.06% under random faults and by 9.37% and 7.81% under targeted attacks. These experimental results confirm that the proposed method is capable of generating robust inter-and intra-chiplet interconnection networks that can withstand both faults and attacks. By optimizing the network topology’s robustness, it provides a valuable contribution to the design and security of chiplet-based core systems
Optimizing URLLC in Open RAN: A Deep Reinforcement Learning-Based Trade-off Analysis
Get PDFThe advent of Ultra-Reliable Low Latency Communication (URLLC) along with the emergence of Open RAN (ORAN) architectures presents unprecedented challenges and opportunities in Radio Resource Management (RRM) for next-generation communication systems. This paper presents a com- prehensive trade-off analysis of Deep Reinforcement Learning (DRL) approaches designed to enhance URLLC performance within ORAN’s flexible and dynamic framework. By investigating various DRL strategies for optimizing RRM parameters, we explore the intricate balance between reliability, latency, and the newfound adaptability afforded by the ORAN principles. Through extensive simulation results, our study compares the efficacy of different DRL models in achieving URLLC objectives in an ORAN context, highlighting the potential of DRL to navigate the complexities introduced by ORAN. The proposed study provides valuable information on the practical implementation of DRL-based RRM solutions in ORAN-enabled wireless networks. It sheds light on the benefits and challenges of integrating DRL and ORAN for URLLC enhancements. Our findings demonstrate that the proposed twin-delayed deep-deterministic policy gradient (TD3) integrated with Thompson Sampling (TS) achieves reliability levels above 99% in more than 80% of instances, outperforming baseline DRL methods in maintaining stringent URLLC reliability requirements, offering a roadmap for future research to pursue efficient, reliable, and flexible communication systems
Deep Transfer Learning Based on Hybrid Swin Transformers With LSTM for Intrusion Detection Systems in IoT Environment
Get PDFExtensive growth in the number of Internet Of Things (IoT) devices has significantly increased susceptibility to various cyber-attacks and hence emphasized the need for robust intrusion detection systems (IDS) for ensuring IoT network security. While deep learning (DL) methodologies have proven effective in the application of IDS, their success greatly depends on the availability of large datasets and significant computational resources during training. To overcome the limitations associated with this dependence on large datasets and significant computational capacity for training, the current work suggests employing the transfer learning (TL) mechanism by combining Swin Transformers with long short-term memory (LSTM) networks. Utilizing the beneficial properties of Swin Transformers in learning hierarchically structured data combined with the proficiency of LSTM in processing sequential dependencies, the hybrid model generates pre-trained weights in the first phase. These pre-trained weights are further transferred into another instance of the new model for subsequent fine-tuning. Experiments are carried out on several benchmarking datasets, namely NSL-KDD, ToN-IoT, BoTIoT, MQTTIoT, and CICIoT2023, which include both binary and multi-class classification scenarios. The proposed model outperforms state-of-the-art DL models, for example, the Autoencoders, ResNets, CNN, RNN, and LSTM models, and achieved an average of 98.97% in accuracy, of 98.97% in precision, of 99.02% in recall, of 98.97% in F1 score, across all datasets. Experimental results establish that the hybrid approach achieves better detection accuracy and better performance measures compared to the latest state-of-the-art methods, thus proving itself effective in increasing the scalability and adaptability of IDS in IoT
Transgression and Dissensus in Participatory Performance
Get PDFThis Practice-as-Research (PaR) thesis examines transgression and the emergence of dissensus in participatory performance across the disciplines of theatre, dance and gallery art. My research is founded upon the understanding that an autotelic experience in the form of play is a key experiential aspect for spectator-participants during participation. This thesis will outline that transgressive, or bad play, is an integral part of play. Transgressive or bad participation is therefore an inherent probability in participatory responses. I have explored this premise through five instances of participatory performance, designed to facilitate audiences with an opportunity to transgress. This research recognises transgression as experiential and aesthetic ingredient in participatory performance and celebrates its disruptive and explorative qualities. Furthermore, I will exemplify that transgressive acts are able to conjure the experience of Jacques Rancière’s concept of dissensus. The experience of transgression and dissensus share many aspects, and a renewed examination of dissensus through a lens of transgression can highlight how this concept is rooted in indeterminacy and multiplicity.
The thesis consists of 8 Chapters. The Introduction, Chapter 1 and Chapter 2 are introducing the theoretical framework: Chapter 1 gives a detailed overview of the key concepts of transgression, play and dissensus; Chapter 2 identifies key phenomenological aspects relevant to an experience of transgression and dissensus. The next three chapters concern themselves with the practical framework: Chapter 3 discusses key case studies that have supported my research. Chapter 4 and 5 discuss my PaR methodology as well as my PaR performance. Chapter 6, 7 and 8 focus on key findings that emerge through my praxis: Chapter 6 discusses the key practical methodologies that have contributed to the emergence of transgression and dissensus; Chapter 7 discusses aspects relevant to spectator-participants and the participating community and Chapter 8 discusses transgression and dissensus as aesthetic ingredient. An additional PDF Documentation offers a creative outline as well as all pertinent video material for the praxis
Filtered skew derivations on simple artinian rings
Get PDFGiven a complete, positively filtered ring (R, f) and a compatible skew derivation (σ, δ), we may construct its skew power series ring R[[x; σ, δ]]. Due to topological obstructions, even if δ is an inner σ-derivation, in general we cannot “untwist” it, i.e., reparametrise to find a filtered isomorphism R[[x; σ, δ]] ≌ R[[x′; σ]], as might be expected from the theory of skew polynomial rings; similarly when σ is an inner automorphism. We find general conditions under which it is possible to untwist the multiplication data, and use this to analyse the structure of R[[x; σ, δ]] in the simplest case when R is a matrix ring over a (noncommutative) noetherian discrete valuation ring
Dual pathways toward net-zero based performance through responsible leadership –mediation of green HR practices, green innovation and moderation of digital capabilities
Get PDFThe research pertains to exploring one of the unique relationships, between responsible leadership (RL) and net-zero–based performance (NZBP), through two different pathways utilizing the theoretical lens of upper echelons theory. One is a direct pathway through the moderation of digital capabilities and the other is indirect through the sequential mediation of green HR practices and green innovation. Data were collected through a two-wave, time-lagged design from 357 senior officials of large manufacturing firms. Data analysis was also carried out in two stages; firstly through “Partial Least Structural Equation Modelling” (PLS-SEM) and then through “Artificial Neural Networks” (ANN). The PLS-SEM results conveyed positive relationship between RL and NZBP through both pathways. Further, the moderator digital capabilities catalyzed the relationship between RL and NZBP. The ANN analysis while strengthening the PLS-SEM results, predicted the dimension of “leadership” holding greater importance, followed by “business” and “environmental” within the spectrum of RL responsibilities. The findings have deeper insights for the fields of leadership and NZBP, advancing both theoretical understanding and practical applications for sustainable business practices