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Displaying Results 1 - 25 of 318 on page 1 of 13
Marked
Mark
"Pee-in-a-Pot": acceptability and uptake of on-site chlamydia screening in a student population in the Republic of Ireland
(2010)
Vaughan, Deirdre; O'Connell, Emer; Cormican, Martin; Brugha, Ruairi; Faherty, Cole...
"Pee-in-a-Pot": acceptability and uptake of on-site chlamydia screening in a student population in the Republic of Ireland
(2010)
Vaughan, Deirdre; O'Connell, Emer; Cormican, Martin; Brugha, Ruairi; Faherty, Colette; Balfe, Myles; O'Donovan, Diarmuid
Abstract:
<p>The original publication is available from http://www.biomedcentral.com</p>
<p>Background: The aim of the study was to explore the acceptability and uptake of on-campus screening using a youth friendly approach in two Third Level higher education institutions (HEIs). This study is part of wider research exploring the optimal setting for chlamydia screening in Ireland. Methods: Male and female students were given the opportunity to take a free anonymous test for chlamydia during a one week programme of "pee-in-a-pot" days at two HEI campuses in the West of Ireland. The study was set up after extensive consultation with the two HEIs and advertised on the two campuses using a variety of media in the two weeks preceding the screening days. Screening involved the provision and distribution of testing packs at communal areas and in toilet facilities. In Ireland, chlamydia notifications are highest amongst 20-29 year olds and hence the screening criterion...
https://epubs.rcsi.ie/ephmart/9
Marked
Mark
A Bayesian method for automatic landmark detection in segmented images
(2005)
WILSON, SIMON PAUL
A Bayesian method for automatic landmark detection in segmented images
(2005)
WILSON, SIMON PAUL
Abstract:
peer-reviewed
The identification of landmark points of a figure in an image plays an important role in many statistical shape analysis techniques. In certain contexts, manual landmark detection is an impractical task and an automated procedure has to be employed instead. Standard corner detectors can be used for this purpose, but this approach is not always suitable, as the set of landmark points best representing the figure is not necessarily limited to corners. We present a Bayesian approach for automatic landmark detection, where a set of N landmark vertices is fitted to the edge of a segmented region of an image. We propose a likelihood function for the observed segmented region given the vertices and then use a Metropolis sampler to sample landmark vertices given the observed region. Careful consideration has to be given to the selection of a prior for the distribution of the landmarks.
http://hdl.handle.net/2262/32987
Marked
Mark
A Cloud Forensic Readiness Model for Service Level Agreements Management
(2016)
De Marco, Lucia; Ferrucci, Filomena; Kechadi, Tahar
A Cloud Forensic Readiness Model for Service Level Agreements Management
(2016)
De Marco, Lucia; Ferrucci, Filomena; Kechadi, Tahar
Abstract:
14th European Conference on Cyber Warfare and Security (ECCWS-2015), University of Herefordshire, United Kingdom, 2 - 3 July 2015
Cloud computing is increasingly becoming a target of cyber-criminal attacks. Often the committedcrimes violate the Service Level Agreement (SLA) contracts, which must be respected by all the involvedparties. Cloud Forensics is a branch of Digital Forensic discipline dealing with crimes involving the Cloud. Amanner for leveraging some of the attacks is the provisioning of a Forensic Readiness capability, by performingsome activities before the crimes happen. In this paper we introduce a model aimed to represent themanagement of SLAs through a cloud system.
http://hdl.handle.net/10197/7685
Marked
Mark
A combined experimental-numerical approach for generating statistically equivalent fibre distributions for high strength laminated composite materials
(2016)
McCarthy, Conor T.; Vaughan, Ted J.
A combined experimental-numerical approach for generating statistically equivalent fibre distributions for high strength laminated composite materials
(2016)
McCarthy, Conor T.; Vaughan, Ted J.
Abstract:
A technique is presented where actual experimental distributions, measured from a high strength carbon fibre composite, are considered in the development of a novel method to generate statistically equivalent fibre distributions for high volume fraction composites. The approach uses an adjusted measure of nearest neighbour distribution functions to define inter-fibre distances. The statistical distributions, characterising the resulting fibre arrangements, were found to be equivalent to those in the actual microstructure. Finite element models were generated and used to determine the effective elastic properties of the composite and excellent agreement was obtained. The algorithm developed is simple, robust, highly efficient and capable of reproducing actual fibre distributions for high strength laminated composite materials. It does not require further heuristic steps, such as those seen in fibre stirring/shaking algorithms, in order to achieve high volume fraction microstructures ...
http://hdl.handle.net/10379/6217
Marked
Mark
A finite mixture latent trajectory model for modeling ultrarunners' behavior in a 24-hour race
(2015)
Bartolucci, Francesco; Murphy, Thomas Brendan
A finite mixture latent trajectory model for modeling ultrarunners' behavior in a 24-hour race
(2015)
Bartolucci, Francesco; Murphy, Thomas Brendan
Abstract:
A finite mixture latent trajectory model is developed to study the performance and strategy of runners in a 24-h long ultra running race. The model facilitates clustering of runners based on their speed and propensity to rest and thus reveals the strategies used in the race. Inference for the adopted latent trajectory model is achieved using an expectation-maximization algorithm. Fitting the model to data from the 2013 World Championships reveals three clearly separated clusters of runners who exhibit different strategies throughout the race. The strategies show that runners can be grouped in terms of their average moving speed and their propensity to rest during the race. The effect of age and gender on the probability of belonging to each cluster is also investigated.
Science Foundation Ireland
Italian Government
http://hdl.handle.net/10197/6845
Marked
Mark
A force profile analysis comparison between functional data analysis, statistical parametric mapping and statistical non-parametric mapping in on-water single sculling
(2018)
Warmenhoven, John; Harrison, Andrew J.; Robinson, Mark J.; Vanrenterghem, Jos; Bargary,...
A force profile analysis comparison between functional data analysis, statistical parametric mapping and statistical non-parametric mapping in on-water single sculling
(2018)
Warmenhoven, John; Harrison, Andrew J.; Robinson, Mark J.; Vanrenterghem, Jos; Bargary, Norma; Smith, Richard; Cobley, Stephen; Draper, Conny; Donnelly, Cryil; Pataky, Todd
Abstract:
Objectives: To examine whether the Functional Data Analysis (FDA), Statistical Parametric Mapping (SPM) and Statistical non-Parametric Mapping (SnPM) hypothesis testing techniques differ in their ability to draw inferences in the context of a single, simple experimental design. Design: The sample data used is cross-sectional (two-sample gender comparison) and evaluation of differences between statistical techniques used a combination of descriptive and qualitative assessments. Methods: FDA, SPM and SnPM t-tests were applied to sample data of twenty highly skilled male and female rowers, rowing at 32 strokes per minute in a single scull boat. Statistical differences for gender were assessed by applying two t-tests (one for each side of the boat). Results: The t-statistic values were identical for all three methods (with the FDA t-statistic presented as an absolute measure). The critical t-statistics (tcrit) were very similar between the techniques, with SPM tcrit providing a marginal...
http://hdl.handle.net/10344/7164
Marked
Mark
A generalized multiple-try version of the Reversible Jump algorithm
(2017)
Pandolfi, Slivia; Bartolucci, Francesco; Friel, Nial
A generalized multiple-try version of the Reversible Jump algorithm
(2017)
Pandolfi, Slivia; Bartolucci, Francesco; Friel, Nial
Abstract:
The Reversible Jump algorithm is one of the most widely used Markov chain Monte Carlo algorithms for Bayesian estimation and model selection. A generalized multiple-try version of this algorithm is proposed. The algorithm is based on drawing several proposals at each step and randomly choosing one of them on the basis of weights (selection probabilities) that may be arbitrarily chosen. Among the possible choices, a method is employed which is based on selection probabilities depending on a quadratic approximation of the posterior distribution. Moreover, the implementation of the proposed algorithm for challenging model selection problems, in which the quadratic approximation is not feasible, is considered. The resulting algorithm leads to a gain in efficiency with respect to the Reversible Jump algorithm, and also in terms of computational effort. The performance of this approach is illustrated for real examples involving a logistic regression model and a latent class model.
Sci...
http://hdl.handle.net/10197/8372
Marked
Mark
A Latent Space Analysis of Editor Lifecycles in Wikipedia
(2015)
Qin, Ziangju; Greene, Derek; Cunningham, Pádraig
A Latent Space Analysis of Editor Lifecycles in Wikipedia
(2015)
Qin, Ziangju; Greene, Derek; Cunningham, Pádraig
Abstract:
5th International Workshop on Mining Ubiquitous and Social Environments (MUSE) at ECML, Nancy, France, 15 September 2014
Collaborations such as Wikipedia are a key part of the valueof the modern Internet. At the same time there is concern that thesecollaborations are threatened by high levels of member turnover. In thispaper we borrow ideas from topic analysis to editor activity on Wikipediaover time into a latent space that oers an insight into the evolvingpatterns of editor behavior. This latent space representation reveals anumber of dierent categories of editor (e.g. content experts, social net-workers) and we show that it does provide a signal that predicts aneditor's departure from the community. We also show that long termeditors gradually diversify their participation by shifting edit preferencefrom one or two namespaces to multiple namespaces and experience rel-atively soft evolution in their editor proles, while short term editorsgenerally distribute their contrib...
http://hdl.handle.net/10197/6611
Marked
Mark
A Lightweight Software Write-blocker for Virtual Machine Forensics
(2016)
Tobin, Patrick; Le-Khac, Nhien-An; Kechadi, Tahar
A Lightweight Software Write-blocker for Virtual Machine Forensics
(2016)
Tobin, Patrick; Le-Khac, Nhien-An; Kechadi, Tahar
Abstract:
The Sixth International Conference on Innovative Computing Technology (INTECH 2016), Irish Computer Society, Dublin, Ireland, 24-26 August 2016
The integrity of any original evidence is fundamental to a forensic examination. Preserving the integrity of digital evidence is vitally important as changing just one bit among perhaps gigabits of data, will irrevocably alter that data and cast doubt on any evidence extracted. In traditional digital forensics write-blockers are used to preserve the integrity of that evidence and prevent changes from occurring, but virtual machine forensics presents more difficult challenges to address. Access to the digital storage device will probably not be possible, typically the only accessible storage will be a virtual hard disk drive. This will have the same integrity issues as those of a real device, but with the added complication that it is not possible to use a hardware write-blocker to prevent changes to those data. For this reason it is impo...
http://hdl.handle.net/10197/8150
Marked
Mark
A microscale integrated approach to measure and model fibre misalignment in fibre-reinforced composite
(2019)
Sebacy, T.A.; Catalanotti, G.; O'Dowd, Noel P.
A microscale integrated approach to measure and model fibre misalignment in fibre-reinforced composite
(2019)
Sebacy, T.A.; Catalanotti, G.; O'Dowd, Noel P.
Abstract:
The full text of this article will not be available in ULIR until the embargo expires on the 30/08/2021
Computational micromechanics of fibre-reinforced polymers (FRPs) relies on the ability of the representative volume elements (RVEs) to take into account the different features that characterise the geometry of the material system under consideration. Fibre misalignment has been proven experimentally to have a significant effect on the mechanical properties at the macroscale, but is not currently taken into consideration in models at the individual fibre level, perhaps due to the difficulty in statistically characterising the fibre misalignment. In this work, an integrated approach is presented to measure and model fibre misalignments in FRPs. A computed tomography (CT) scan is used to identify the fibre geometry and statistically characterise the fibre misalignment angle distribution. Using a methodology recently developed by the authors, three-dimensional (3D) RVEs were gener...
http://hdl.handle.net/10344/8054
Marked
Mark
A novel statistical method for assessing effective adherence to medication and calculating optimal drug dosages.
(2018)
Greene, Garrett; Costello, Richard W; Cushen, Breda; Sulaiman, Imran; Mac Hale, Elaine;...
A novel statistical method for assessing effective adherence to medication and calculating optimal drug dosages.
(2018)
Greene, Garrett; Costello, Richard W; Cushen, Breda; Sulaiman, Imran; Mac Hale, Elaine; Conroy, Rónan; Doyle, Frank
Abstract:
<p>The original article is available at <a href="http://journals.plos.org">http://journals.plos.org</a></p>
<p><strong>OBJECTIVE:</strong> We derive a novel model-based metric for effective adherence to medication, and validate it using data from the INhaler Compliance Assessment device (INCATM). This technique employs dose timing data to estimate the threshold drug concentration needed to maintain optimal health.</p> <p><strong>METHODS:</strong> The parameters of the model are optimised against patient outcome data using maximum likelihood methods. The model is fitted and validated by secondary analysis of two independent datasets from two remote-monitoring studies of adherence, conducted through clinical research centres of 5 Irish hospitals. Training data came from a cohort of asthma patients (~ 47,000 samples from 218 patients). Validation data is from a cohort of 204 patients with COPD recorded betw...
https://epubs.rcsi.ie/psycholart/122
Marked
Mark
A review of hospitals admissions policy
(1984)
O'Neill, Julie
A review of hospitals admissions policy
(1984)
O'Neill, Julie
http://hdl.handle.net/10147/252389
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Mark
A statistical decision support system incorporating personalised adaptive reference ranges for longitudinal monitoring in prostate cancer
(2019)
Roshan Sangachin, Davood
A statistical decision support system incorporating personalised adaptive reference ranges for longitudinal monitoring in prostate cancer
(2019)
Roshan Sangachin, Davood
Abstract:
The overall aims of this thesis are to use modern approaches in Biostatistics to help clinicians diagnose Prostate Cancer (PCa) early, and treat effectively, and to help patients choose between treatment options. Biostatistics is both a primary and an enabling discipline, a fundamental requirement of all quantitative research, upon which the validity and integrity of research findings are dependent. This thesis encompasses both aspects. The primary (methodological) component involved the development of new and novel methods for generating adaptive ranges in longitudinal monitoring of biomarkers. The enabling component was to deliver on the requirements outlined by my funders (Prostate Cancer Institute (PCI) in the National University of Ireland, Galway), namely to build a decision support system that i) displays useful summary information of PCI data from several sources and ii) presents the results of several statistical analyses relating to treatment comparisons and outcomes in...
http://hdl.handle.net/10379/15620
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Mark
A study of principal component analysis applied to spatially distributed wind power
(2012)
Burke, Daniel J.; O'Malley, Mark
A study of principal component analysis applied to spatially distributed wind power
(2012)
Burke, Daniel J.; O'Malley, Mark
Abstract:
Multivariate dimension reduction schemes could be very useful in limiting the number of random statistical variables needed to represent distributed wind power spatial diversity in transmission integration studies. In this paper, principal component analysis (PCA) is applied to the covariance matrix of distributed wind power data from existing Irish wind farms, with the eigenvector/eigenvalue analysis generating a lower number of uncorrelated alternative variables. It is shown that though uncorrelated, these wind components may not necessarily be statistically independent however. A sample application of PCA combined with multivariate probability discretization is also outlined in detail. In that case study, the capability of PCA to reduce the number and prioritize the order of the alternative statistical variables is key to potential wind power production costing simulation efficiency gains, when compared to exhaustive multiyear time series load flow investigations.
Science Fou...
http://hdl.handle.net/10197/3543
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Mark
Active quench and reset integrated circuit with novel hold-off time control logic for Geiger-mode avalanche photodiodes
(2012)
Deng, Shijie; Morrison, Alan P.
Active quench and reset integrated circuit with novel hold-off time control logic for Geiger-mode avalanche photodiodes
(2012)
Deng, Shijie; Morrison, Alan P.
Abstract:
This Letter presents an active quench-and-reset circuit for Geiger-mode avalanche photodiodes (GM-APDs). The integrated circuit was fabricated using a conventional 0.35 μm complementary metal oxide semiconductor process. Experimental results show that the circuit is capable of linearly setting the hold-off time from several nanoseconds to microseconds with a resolution of 6.5 ns. This allows the selection of the optimal afterpulse-free hold-off time for the GM-APD via external digital inputs or additional signal processing circuitry. Moreover, this circuit resets the APD automatically following the end of the hold-off period, thus simplifying the control for the end user. Results also show that a minimum dead time of 28.4 ns is achieved, demonstrating a saturated photon-counting rate of 35.2 Mcounts/s.
http://hdl.handle.net/10468/6388
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Mark
Activity in Acute Public Hospitals in Ireland
(2017)
Healthcare Pricing Office. Health Service Executive (HSE)
Activity in Acute Public Hospitals in Ireland
(2017)
Healthcare Pricing Office. Health Service Executive (HSE)
Abstract:
This is a report on in-patient and day patient discharges from acute public hospitals participating in the Hospital In-Patient Enquiry (HIPE) scheme in 2016. Discharge activity is examined by patient type, admission type, hospital group, and by demographic parameters (such as age and sex). Particular issues of relevance to the Irish health care system covered in the report relate to the composition of discharges by medical card and public/private status. Discharges are also analysed by diagnoses, procedures, major diagnostic categories, and diagnosis related groups. The analysis is presented at the national level.
http://hdl.handle.net/10147/622677
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Mark
Acute hospitals annual report 1992
(1992)
Western Health Board (WHB)
Acute hospitals annual report 1992
(1992)
Western Health Board (WHB)
Abstract:
Herewith, the Annual Statistical Report for the Board's Acute Hospitals for the year ended 31st December, 1992. A total of 47,8 12 persons were treated as in-patients in 1992 while the level of out-patient attendances increased to 250,820 during the year. These figures indicate an increasing demand for hospital services. Considerable pressure was imposed on staff and facilities to cope with this demand during a time of reduced resource availability.
http://hdl.handle.net/10147/240512
Marked
Mark
Adaptive Representations for Tracking Breaking News on Twitter
(2015)
Brigadir, Igor; Greene, Derek; Cunningham, Pádraig
Adaptive Representations for Tracking Breaking News on Twitter
(2015)
Brigadir, Igor; Greene, Derek; Cunningham, Pádraig
Abstract:
NewsKDD - Workshop on Data Science for News Publishing at KDD, August 24 2014, New York, United States
Twitter is often the most up-to-date source for finding and tracking breaking news stories. Therefore, there is considerable interest in developing filters for tweet streams in order to track and summarize stories. This is a non-trivial text analytics task as tweets are short,and standard text similarity metrics often fail as stories evolve over time. In this paper we examine the effectiveness of adaptive text similarity mechanisms for tracking and summarizing breaking news stories. We evaluate the effectiveness of these mechanisms on a number of recent news events for which manually curated timelines are available. Assessments based on the ROUGE metric indicate that an adaptive similarity mechanism is best suited for tracking evolving stories on Twitter.
Science Foundation Ireland
http://hdl.handle.net/10197/6616
Marked
Mark
Adoption Board annual report 1984
(1985)
Adoption Authority of Ireland
Adoption Board annual report 1984
(1985)
Adoption Authority of Ireland
Abstract:
During the year, 1195 adoption orders were made. Since the Adoption Act, 1952, came into operation on 1st January, 1953 a total of 32,935 adoption orders have been made up to 31 st December, 1984. The Board continues to receive enquiries from adopted persons seeking information on their background. Fifty-two enquiries were received in 1984. The Board is willing to make available to adoptees such non-identifying information as it has on file and to give any other assistance possible. Regretfully. in many of the earlier cases the amount of information is scant.
http://hdl.handle.net/10147/246911
Marked
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Alcohol-related deaths and deaths among people who were alcohol dependent in Ireland, 2004 to 2008.
(2011)
Lyons, Suzi; Lynn, Ena; Walsh, Simone; Sutton, Marie; Long, Jean
Alcohol-related deaths and deaths among people who were alcohol dependent in Ireland, 2004 to 2008.
(2011)
Lyons, Suzi; Lynn, Ena; Walsh, Simone; Sutton, Marie; Long, Jean
Abstract:
This paper describes, for the first time, trends in alcohol-related deaths and deaths among people who were alcohol dependent in Ireland, as recorded by the National Drug-Related Deaths Index (NDRDI) for the years 2004−2008.
http://hdl.handle.net/10147/136160
Marked
Mark
An Analysis of the Coherence of Descriptors in Topic Modeling
(2015)
O'Callaghan, Derek; Greene, Derek; Carthy, Joe; Cunningham, Pádraig
An Analysis of the Coherence of Descriptors in Topic Modeling
(2015)
O'Callaghan, Derek; Greene, Derek; Carthy, Joe; Cunningham, Pádraig
Abstract:
In recent years, topic modeling has become an established method in the analysis of text corpora, with probabilistic techniques such as latent Dirichlet allocation (LDA) commonly employed for this purpose. However, it might be argued that adequate attention is often not paid to the issue of topic coherence, the semantic interpretability of the top terms usually used to describe discovered topics. Nevertheless, a number of studies have proposed measures for analyzing such coherence, where these have been largely focused on topics found by LDA, with matrix decomposition techniques such as Non-negative Matrix Factorization (NMF) being somewhat overlooked in comparison. This motivates the current work, where we compare and analyze topics found by popular variants of both NMF and LDA in multiple corpora in terms of both their coherence and associated generality, using a combination of existing and new measures, including one based on distributional semantics. Two out of three coherence m...
http://hdl.handle.net/10197/6482
Marked
Mark
An Investigation into Information Navigation via Diverse Keyword-based Facets
(2017)
Qureshi, M. Atif; Greene, Derek
An Investigation into Information Navigation via Diverse Keyword-based Facets
(2017)
Qureshi, M. Atif; Greene, Derek
Abstract:
24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS'16), University College Dublin, Dublin, Ireland, 20-21 September 2016
In the age of information overload, it is necessary to provide effective information navigation tools that operate over unstructured textual data. Current state-of-the-art methods are limited in terms of providing effective exploration capabilities for various information seeking tasks, especially those arising in domains such as online journalism. Here we argue for improvements in faceted search systems, via new strategies for identifying keyword-based facets. Our proposed technique utilises a PageRank model operating over the graph of terms appearing in documents, while also employing novel methods for biasing significant terms and named entities. In addition, we consider the notion of diversity within extracted keywords in an effort to maximize coverage over a range of topics. We perform experimental evaluations over issues re...
http://hdl.handle.net/10197/8359
Marked
Mark
An investigation into the effect of alcohol consumption on health status and health care utilization in Ireland
(2017)
Ormond, Gillian; Murphy, Rosemary
An investigation into the effect of alcohol consumption on health status and health care utilization in Ireland
(2017)
Ormond, Gillian; Murphy, Rosemary
Abstract:
This paper presents a study of the effect of alcohol consumption on individual health status and health care utilization in Ireland using the 2007 Slán National Health and Lifestyle Survey, while accounting for the endogenous relationship between alcohol and health. Drinkers are categorized as those who never drank, non-drinkers, moderate drinkers, or heavy drinkers, based on national recommended weekly drinking levels in Ireland. The drinking-status equation is estimated using an ordered probit model. Predicted values for the inverse mills ratio are generated, which are then included in the health and health-care utilization equations. Differences in health status for each category of drinker are examined, and the relationship between both alcohol consumption and health with a host of other personal and socio-economic variables is also identified. Given that the measure of health status available is self-assessed, the effect of alcohol consumption on health-care utilization is also...
http://hdl.handle.net/10468/5354
Marked
Mark
Analyzing the impact of electricity price forecasting on energy cost-aware scheduling
(2017)
Grimes, Diarmuid; Ifrim, Georgiana; O'Sullivan, Barry; Simonis, Helmut
Analyzing the impact of electricity price forecasting on energy cost-aware scheduling
(2017)
Grimes, Diarmuid; Ifrim, Georgiana; O'Sullivan, Barry; Simonis, Helmut
Abstract:
Energy cost-aware scheduling, i.e., scheduling that adapts to real-time energy price volatility, can save large energy consumers millions of dollars every year in electricity costs. Energy price forecasting coupled with energy price-aware scheduling, is a step toward this goal. In this work, we study cost-aware schedules and the effect of various price forecasting schemes on the end schedule-cost. We show that simply optimizing price forecasts based on classical regression error metrics (e.g., Mean Squared Error), does not work well for scheduling. Price forecasts that do result in significantly better schedules, optimize a combination of metrics, each having a different impact on the end-schedule-cost. For example, both price estimation and price ranking are important for scheduling, but they carry different weight. We consider day-ahead energy price forecasting using the Irish Single Electricity Market as a case-study, and test our price forecasts for two real-world scheduling app...
http://hdl.handle.net/10197/8508
Marked
Mark
Android and Wireless data-extraction using Wi-Fi
(2015)
Busstra, Bert; Le-Khac, Nhien-An; Kechadi, Tahar
Android and Wireless data-extraction using Wi-Fi
(2015)
Busstra, Bert; Le-Khac, Nhien-An; Kechadi, Tahar
Abstract:
INTECH 2014: Fourth International Conference on the Innovative Computing Technology, University of Berdfordshire, United Kingdom, 13-15 August 2014
Today, mobile phones are very popular, fast growing technology. Mobile phones of the present day are more and more like small computers. The so-called "smartphones" contain a wealth of information each. This information has been proven to be very useful in crime investigations, because relevant evidence can be found in data retrieved from mobile phones used by criminals. In traditional methods, the data from mobile phones can be extracted using an USB-cable. However, if for some reason this USB-cable connection cannot be made, the data should be extracted in an alternative way. In this paper, we study the possibility of extracting data from mobile devices using a Wi-Fi connection. We describe our approach on mobile devices containing the Android Operating System. Through our experiments, we also give recommendation on which...
http://hdl.handle.net/10197/6493
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