17837 research outputs found
Sort by
Cyborg Études, co-created by Alex Ho, Zubin Kanga, Elayce Ismail and Gillian Tan
Get PDFCyborg Etudes, co-created by Alex Ho, Zubin Kanga, Elayce Imsail (text) and Gillian Tan (live video). The work combines two industry partner technologies: the Genki Wave (sensor ring) and Showsync (live video effects). With this combination, the movement of the pianist is able to control the visuals. The work also explores the concept of double-consciousness, where immigrants need to find two different types of language and identities with their original and adopted cultures.The work was performed at Huddersfield Contemporary Music Festival to an audience of 80, and broadcast on BBC Radio 3 (with a weekly audience of 1.9 million)
A Dark Matter Direct Detection Search and Photosensor Development in the DarkSide-20k Detector
Get PDF
Unleashing AI in Ethical Hacking: A Preliminary Experimental Study
Get PDFThis technical report details an experimental study aimed at evaluating the integration of AI, specifically ChatGPT, into ethical hacking. Conducted in a controlled virtual environment using a MacBook Pro host with VirtualBox 7, the study focused on assessing ChatGPT’s efficacy in aiding the penetration testing of target virtual machines, including one running Windows. This experiment was carried out to validate the claims made in the companion position paper, "Unleashing AI in Ethical Hacking". The primary aim was to explore ChatGPT’sutility in enhancing various stages of ethical hacking, such as Reconnaissance,Scanning, Gaining Access, Maintaining Access, and Covering Tracks. This technical report comprehensively documents the laboratory experiment and will be used to support the position paper, which is being prepared for conference presentation. The results underscore ChatGPT’s highly effective and remarkably helpful role in supporting and streamlining the penetration testing process
Incorporating Encoding into Quantum System Design
Get PDFWhen creating a quantum system whose natural dynamics provide useful computational operations, designers have two key tools at their disposal: the (constrained) choice of both the Hamiltonian and the the initial state of the system (an encoding). Typically, we fix the design, and utilise encodings \emph{post factum} to tolerate experimental imperfections. In this paper, we describe a vital insight that incorporates encoding into the design process, with radical consequences. This transforms the study of perfect state transfer from the unrealistic scenario of specifying the Hamiltonian of an entire system to the far more realistic situation of being given a Hamiltonian over which we had no choice in the design, and designing time control of just two parameters to still achieve perfect transfer
Virtual Exploration of the Human Vocal Tract
Get PDFHypothesis: By simulating the acoustic field throughout the entire vocal tract the evolution of speech sounds within the tract can be directly and quantitatively related to physical variations in the tract geometry. This insight into speech production could then be applied to a variety of fields where the ability to alter or investigate speech characteristics in a targeted way could be useful for example in the teaching of speech science, in speech coaching, or as part of the planning of medical procedures. In this research, a bespoke acoustic simulation package has been produced using a continuous 3-dimensional Digital Waveguide Mesh (DWM) which can produce acoustic output throughout the entire simulation domain containing the tract at every time step. This package has been shown to reproduce formant frequencies for a variety of vocal tract shapes with an average mean absolute error of 10.12% at the lips, which is comparable to other research. These results have been investigated by comparing simulation output to recorded output from physical models. This simulation package has also been used to perform studies into the shifting of formant frequencies during speech sound production along the length of the tract, and into the effect on formant frequencies of the removal of geometric features of the tract such as the piriform fossae. These studies have been compared to physical internal measurements of vocal tract models from living subjects, showing preliminary agreement with further development required. A large emphasis has been placed on the accessibility of this research, with the production of several tools for visualisation of the data contained within, and with decisions made during the production of the simulation package itself
How does Team Learning from Failure Facilitate New Product Performance? The Double-edged Moderating Effect of Collective Efficacy
Get PDFLearning from failure can foster innovation, but how a new product development (NPD) team’s learning from failure affects new product performance requires more insights. In particular, the question remains on how collective efficacy, which discerns team members’ belief to achieve desired goals, affects team learning from failure towards improving new product performance. Using social cognitive theory complemented by sensemaking and attribution theories, we examine the effects of NPD teams’ (experiential and vicarious) learning from failure on new product performance and the moderating effects of collective efficacy on these relationships. With survey data collected from 398 responses within 152 NPD teams in Chinese high-tech small and medium-sized enterprises, we find that both experiential and vicarious learning from failure enhance new product performance in terms of speed to market and product innovativeness. Further, as collective efficacy increases, the positive effect of experiential learning from failure on speed to market is strengthened. However, the positive effect of vicarious learning from failure on product innovativeness is weakened. Our results suggest that NPD teams can benefit from experiential and vicarious learning from failure to improve new product performance but must pay attention to the double-edged effect of collective efficacy
Merging sequential e-values via martingales
Get PDFWe study the problem of merging sequential or independent e-values into one e-value or e-process. We describe a class of e-value merging functions via martingales and show that it dominates all merging methods for sequential e-values. All admissible methods for constructing e-processes can also be obtained in this way. In the case of merging independent e-values, the situation becomes much more complicated, and we provide a general class of such merging functions based on martingales applied to reordered data.<br/
Data sources:
Access Repository Dashboard
Do you manage Royal Holloway - Pure? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!