955 research outputs found
Using SimVenture in Veterinary Practice
A case study from the Developing Enterprising Students project, a strategic teaching and learning project at the University of Huddersfield. The case study is based on an interview with Cathy Coates, Teaching Fellow at the University of Bristol on 25th June 2014
Using SimVenture in Fashion and Textiles
A case study from the Developing Enterprising Students project, a strategic teaching and learning project at the University of Huddersfield. The case study is based on an interview with Jo Conlon, Senior Lecturer in the Department of Design, School of Art, design and Architecture at the University of Huddersfield on 10 June 2014
Using SimVenture in Information Systems
A case study from the Developing Enterprising Students project, a strategic teaching and learning project at the University of Huddersfield.
The case study is based on an interview with Ms Jyoti Bhardwaj (17th June 2014) and a 2011 case study from the Learning, Teaching and Assessment Strategy and Resource Bank at Edinburgh Napier University written by Ms Jyoti Bhardwaj. Ms Jyoti Bhardwaj is a Lecturer and Teaching Fellow in the area of Information System at the School of Computing, Edinburgh Napier University and she has been using SimVenture since 2009/2010
Using SimVenture in Business Management
A case study from the Developing Enterprising Students project, a strategic teaching and learning project at the University of Huddersfield.
This case study is based on a 2011 paper by Dina Williams, who was a Senior Lecturer in Entrepreneurship, Department of Strategy & Marketing at The Business School, University of Huddersfield. The paper ‘Impact of Business Simulation Games in Enterprise Education’ was presented at the 2010 University of Huddersfield Annual Learning and Teaching Conference
Using SimVenture in Computer Science & Information Systems Management
A case study from the Developing Enterprising Students project, a strategic teaching and learning project at the University of Huddersfield. The case study is based on an interview with Helen Southall, Senior Lecturer in the department of Computer Science and Information Systems on 22 July 2014
Quantum trajectories for time-dependent adiabatic master equations
We develop a quantum trajectories technique for the unraveling of the quantum
adiabatic master equation in Lindblad form. By evolving a complex state vector
of dimension instead of a complex density matrix of dimension ,
simulations of larger system sizes become feasible. The cost of running many
trajectories, which is required to recover the master equation evolution, can
be minimized by running the trajectories in parallel, making this method
suitable for high performance computing clusters. In general, the trajectories
method can provide up to a factor advantage over directly solving the
master equation. In special cases where only the expectation values of certain
observables are desired, an advantage of up to a factor is possible. We
test the method by demonstrating agreement with direct solution of the quantum
adiabatic master equation for -qubit quantum annealing examples. We also
apply the quantum trajectories method to a -qubit example originally
introduced to demonstrate the role of tunneling in quantum annealing, which is
significantly more time consuming to solve directly using the master equation.
The quantum trajectories method provides insight into individual quantum jump
trajectories and their statistics, thus shedding light on open system quantum
adiabatic evolution beyond the master equation.Comment: 17 pages, 7 figure
Baseband Detection of Bistatic Electron Spin Signals in Magnetic Resonance Force Microscopy (MRFM)
In single spin Magnetic Resonance Force Microscopy (MRFM), the objective is
to detect the presence of an electron (or nuclear) spin in a sample volume by
measuring spin-induced attonewton forces using a micromachined cantilever. In
the OSCAR method of single spin MRFM, the spins are manipulated by an external
rf field to produce small periodic deviations in the resonant frequency of the
cantilever. These deviations can be detected by frequency demodulation followed
by conventional amplitude or energy detection. In this paper, we present an
alternative to these detection methods, based on optimal detection theory and
Gibbs sampling. On the basis of simulations, we show that our detector
outperforms the conventional amplitude and energy detectors for realistic MRFM
operating conditions. For example, to achieve a 10% false alarm rate and an 80%
correct detection rate our detector has an 8 dB SNR advantage as compared with
the conventional amplitude or energy detectors. Furthermore, at these detection
rates it comes within 4 dB of the omniscient matched-filter lower bound.Comment: 8 pages, 9 figures, revision of paper contains correction to a typo
on the first page (introduction section
An ontology for carcinoma classification for clinical bioinformatics
There are a number of existing classifications and staging schemes for carcinomas,
one of the most frequently used being the TNM classification. Such classifications
represent classes of entities which exist at various anatomical levels of granularity.
We argue that in order to apply such representations to the Electronic Health Records
one needs sound ontologies which take into consideration the diversity of the domains which are involved in clinical bioinformatics. Here we outline a formal theory for addressing these issues in a way that the ontologies can be used to support inferences relating to entities which exist at different anatomical levels of granularity. Our case study is the colon carcinoma, one of the most common carcinomas prevalent within the European population
An Open-Source 7-Axis, Robotic Platform to Enable Dexterous Procedures within CT Scanners
This paper describes the design, manufacture, and performance of a highly
dexterous, low-profile, 7 Degree-of-Freedom (DOF) robotic arm for CT-guided
percutaneous needle biopsy. Direct CT guidance allows physicians to localize
tumours quickly; however, needle insertion is still performed by hand. This
system is mounted to a fully active gantry superior to the patient's head and
teleoperated by a radiologist. Unlike other similar robots, this robot's fully
serial-link approach uses a unique combination of belt and cable drives for
high-transparency and minimal-backlash, allowing for an expansive working area
and numerous approach angles to targets all while maintaining a small in-bore
cross-section of less than . Simulations verified the system's
expansive collision free work-space and ability to hit targets across the
entire chest, as required for lung cancer biopsy. Targeting error is on average
on a teleoperated accuracy task, illustrating the system's sufficient
accuracy to perform biopsy procedures. The system is designed for lung biopsies
due to the large working volume that is required for reaching peripheral lung
lesions, though, with its large working volume and small in-bore
cross-sectional area, the robotic system is effectively a general-purpose
CT-compatible manipulation device for percutaneous procedures. Finally, with
the considerable development time undertaken in designing a precise and
flexible-use system and with the desire to reduce the burden of other
researchers in developing algorithms for image-guided surgery, this system
provides open-access, and to the best of our knowledge, is the first
open-hardware image-guided biopsy robot of its kind.Comment: 8 pages, 9 figures, final submission to IROS 201
Classification of Stellar Spectra with LLE
We investigate the use of dimensionality reduction techniques for the
classification of stellar spectra selected from the SDSS. Using local linear
embedding (LLE), a technique that preserves the local (and possibly non-linear)
structure within high dimensional data sets, we show that the majority of
stellar spectra can be represented as a one dimensional sequence within a three
dimensional space. The position along this sequence is highly correlated with
spectral temperature. Deviations from this "stellar locus" are indicative of
spectra with strong emission lines (including misclassified galaxies) or broad
absorption lines (e.g. Carbon stars). Based on this analysis, we propose a
hierarchical classification scheme using LLE that progressively identifies and
classifies stellar spectra in a manner that requires no feature extraction and
that can reproduce the classic MK classifications to an accuracy of one type.Comment: 15 pages, 13 figures; accepted for publication in The Astronomical
Journa
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