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Articles 1 - 13 of 13
Full-Text Articles in Physical Sciences and Mathematics
A Comparison Of Evidence Fusion Rules For Situation Recognition In Sensor-Based Environments, Susan Mckeever, Juan Ye
A Comparison Of Evidence Fusion Rules For Situation Recognition In Sensor-Based Environments, Susan Mckeever, Juan Ye
Conference papers
Dempster-Shafer (DS) theory, and its associated Dempster rule of combination, has been widely used to determine belief based on uncertain evi-dence sources. Variations to the original Dempster rule of combination have appeared in the literature to support particular scenarios where unreliable results may result from the use of original DS theory. While theoretical explanations of the rule variations are explained, there is a lack of empirical comparisons of the DS theory and its variations against real data sets. In this work, we examine several variations to DS theory. Using two real-world sensor data sets, we com-pare the performance of DS …
The Significance Of Requirements In Medical Device Software Development, Martin Mchugh, Abder-Rahman Ali, Fergal Mccaffery
The Significance Of Requirements In Medical Device Software Development, Martin Mchugh, Abder-Rahman Ali, Fergal Mccaffery
Conference papers
Software to be used in or as a medical device is subject to user requirements. However, unlike unregulated software, medical device software must meet both the user’s requirements and the requirements of the regulatory body of the region into which the software will be marketed. Regulatory requirements are fixed and can be planned for; unfortunately, the same is not true with user requirements. As many medical device software development organisations are following traditional sequential Software Development Life Cycles (SDLC), they are experiencing difficulties accommodating changes in requirements once development has begun. Agile methods and practices offer the ability to overcome …
Challenges Experienced By Medical Device Software Organisations While Following A Plan-Driven Sdlc, Martin Mchugh, Fergal Mccaffery
Challenges Experienced By Medical Device Software Organisations While Following A Plan-Driven Sdlc, Martin Mchugh, Fergal Mccaffery
Conference papers
Medical device software organisations face challenges not faced by generic software development organisations. These challenges include the adherence to regulatory controls. Regulatory bodies require medical device software organisations to provide objective evidence that the software they are developing is safe and reliable. To produce this, regulatory bodies require a number of deliverables which must be achieved. However, they do not dictate which Software Development Life Cycle (SDLC) must be followed in order to achieve these deliverables. Despite not dictating which SDLC must be followed when developing medical device software, organisations typically develop their software in accordance with a Plan-Driven software …
Balancing Agility And Discipline In A Medical Device Software Organisation, Martin Mchugh, Fergal Mccaffery, Brian Fitzgerald, Klass-Jan Stol, Garret Coady, Valentine Casey
Balancing Agility And Discipline In A Medical Device Software Organisation, Martin Mchugh, Fergal Mccaffery, Brian Fitzgerald, Klass-Jan Stol, Garret Coady, Valentine Casey
Conference papers
Agile development techniques are becoming increasingly popular in the generic software development industry as they appear to offer solutions to the problems associated with following a plan-driven Software Development Life Cycle (SDLC). However, agile methods may not be suited to all industries or organisations. For agile methods to succeed, an organisation must be structured in a way to accommodate agile methods. Medical device software development organisations are bound by regulatory constraints and as a result face challenges when they try to completely follow an agile methodology, but can reap significant benefits by combining both agile and plan-driven SDLC such as …
Preparing Detailed 3d Building Models For Google Earth Integration, Linh Truong-Hong, Thanh Thoa Pham Thi, Junjun Yin, James Carswell
Preparing Detailed 3d Building Models For Google Earth Integration, Linh Truong-Hong, Thanh Thoa Pham Thi, Junjun Yin, James Carswell
Conference papers
Today's spatially aware users are becoming more interested in retrieving personalised and task relevant information, requiring detailed 3D city models linked to non-spatial attribute data. However, current implementations of 3D city models are typically LoD2 that don't include geometric or attribute details about many visible features (e.g. rooms) of a building. As such, valueadded applications developed for web-based and wireless platforms are limited to querying for available non-spatial business data at the building level only. To overcome this, geometrically accurate 3D building models are necessary to enable users to visualize, interact, and query for task specific non-spatial business data. This …
An Agile V-Model For Medical Device Software Development To Overcome The Challenges With Plan Driven Sdlcs, Martin Mchugh, Oisin Cawley, Fergal Mccaffery, Ita Richardson, Xiaofeng Wang
An Agile V-Model For Medical Device Software Development To Overcome The Challenges With Plan Driven Sdlcs, Martin Mchugh, Oisin Cawley, Fergal Mccaffery, Ita Richardson, Xiaofeng Wang
Conference papers
Through the use of semi structured interviews with medical device software organizations it emerged that medical device software organizations are experiencing difficulties when following plan driven Software Development Life Cycles (SDLC), particularly in the area of requirements management. To attempt to resolve these issues an examination of the non-regulated industry was performed to determine if lessons learned there could be applied to the development of medical device software. This examination revealed that agile methods are being widely adopted in the non-regulated software industry. To learn if agile methods could be adopted when developing medical device software a mapping study was …
Stock Market Prediction Without Sentiment Analysis: Using A Web-Traffic Based Classifier And User-Level Analysis, Pierpaolo Dondio
Stock Market Prediction Without Sentiment Analysis: Using A Web-Traffic Based Classifier And User-Level Analysis, Pierpaolo Dondio
Conference papers
This paper provides further evidence on the predictive power of online community traffic with regard to stock prices. Using the largest dataset to date, spanning 8 years and almost the complete set of SP500 stocks, we train a classifier using a set of features entirely extracted from web-traffic data of financial online communities. The classifier is shown to outperform the predictive power of a baseline classifier solely based on price time-series, and to have similar performances as the classifier built considering price and traffic features together. The best predictive performances are achieved when information about stock capitalization is coupled with …
On Multicomponent Derivative Nonlinear Schrodinger Equation Related To Symmetric Spaces, Tihomir Valchev
On Multicomponent Derivative Nonlinear Schrodinger Equation Related To Symmetric Spaces, Tihomir Valchev
Conference papers
We study derivative nonlinear Schrodinger equations related to symmetric spaces of the type A.III. We discuss the spectral properties of the corresponding Lax operator and develop the direct scattering problem connected to it. By applying an appropriately chosen dressing factor we derive soliton solutions to the nonlinear equation. We find the integrals of motion by using the method of diagonalization of Lax pair.
Remarks On Quadratic Bundles Related To Hermitian Symmetric Spaces, Tihomir Valchev
Remarks On Quadratic Bundles Related To Hermitian Symmetric Spaces, Tihomir Valchev
Conference papers
We consider quadratic bundles related to Hermitian symmetric spaces of the type SU(m+n)/S(U(m)\times U(n)). We discuss the spectral properties of scattering operator, develop the direct scattering problem associated with it and stress on the effect of reduction on these. By applying a modification of Zakharov-Shabat's dressing procedure we demonstrate how one can obtain reflectionless potentials. That way one is able to generate soliton solutions to the nonlinear evolution equations belonging to the integrable hierarchy associated with quadratic bundles under study.
Accuracy And Timeliness In Ml Based Activity Recognition, Robert J. Ross, John D. Kelleher
Accuracy And Timeliness In Ml Based Activity Recognition, Robert J. Ross, John D. Kelleher
Conference papers
While recent Machine Learning (ML) based techniques for activity recognition show great promise, there remain a number of questions with respect to the relative merits of these techniques. To provide a better understanding of the relative strengths of contemporary Activity Recognition methods, in this paper we present a comparative analysis of Hidden Markov Model, Bayesian, and Support Vector Machine based human activity recognition models. The study builds on both pre-existing and newly annotated data which includes interleaved activities. Results demonstrate that while Support Vector Machine based techniques perform well for all data sets considered, simple representations of sensor histories regularly …
Improving Performance By Re-Rating In The Dynamic Estimation Of Rater Reliability, Alexey Tarasov, Sarah Jane Delany, Brian Macnamee
Improving Performance By Re-Rating In The Dynamic Estimation Of Rater Reliability, Alexey Tarasov, Sarah Jane Delany, Brian Macnamee
Conference papers
Nowadays crowdsourcing is widely used in supervised machine learning to facilitate the collection of ratings for unlabelled training sets. In order to get good quality results it is worth rejecting results from noisy/unreliable raters, as soon as they are discovered. Many techniques for filtering unreliable raters rely on the presentation of training instances to the raters identified as most accurate to date. Early in the process, the true rater reliabilities are not known and unreliable raters may be used as a result. This paper explores improving the quality of ratings for train- ing instances by performing re-rating. The re-rating relies …
A Comparative Study Of The Effect Of Sensor Noise On Activity Recognition Models, Robert J. Ross, John D. Kelleher
A Comparative Study Of The Effect Of Sensor Noise On Activity Recognition Models, Robert J. Ross, John D. Kelleher
Conference papers
To provide a better understanding of the relative strengths of Machine Learning based Activity Recognition methods, in this paper we present a comparative analysis of the robustness of three popular methods with respect to sensor noise. Specifically we evaluate the robustness of Naive Bayes classifier, Support Vector Machine, and Random Forest based activity recognition models in three cases which span sensor errors from dead to poorly calibrated sensors. Test data is partially synthesized from a recently annotated activity recognition corpus which includes both interleaved activities and a range of both temporally long and short activities. Results demonstrate that the relative …
Emotion Capture: Emotionally Expressive Characters For Games, Cathy Ennis, Ludovic Hoyet, Arjan Egges, Rachel Mcdonnell
Emotion Capture: Emotionally Expressive Characters For Games, Cathy Ennis, Ludovic Hoyet, Arjan Egges, Rachel Mcdonnell
Conference papers
It has been shown that humans are sensitive to the portrayal of emotions for virtual characters. However, previous work in this area has often examined this sensitivity using extreme examples of facial or body animation. Less is known about how attuned people are at recognizing emotions as they are expressed during conversational communication. In order to determine whether body or facial motion is a better indicator for emotional expression for game characters, we conduct a perceptual experiment using synchronized full-body and facial motion-capture data. We find that people can recognize emotions from either modality alone, but combining facial and body …