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Displaying Results 1 - 25 of 29 on page 1 of 2
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A comprehensive comparison of commercial wrist- worn trackers in a young cohort in a lab- environment
(2018)
Tedesco, Salvatore; Sica, Marco; Garbay, Thomas; Barton, John; O'Flynn, Brendan
A comprehensive comparison of commercial wrist- worn trackers in a young cohort in a lab- environment
(2018)
Tedesco, Salvatore; Sica, Marco; Garbay, Thomas; Barton, John; O'Flynn, Brendan
Abstract:
In today's society, the use of watch-based technology is growing steadily and is being used in a wide range of applications and on different aspects of the user's life, from sport and fitness measurement, to entertainment and healthcare evaluation. Considering the multiple application fields for smartwatch/wristbands and their potential adoption in precision medicine applications, it is thus critical to investigate the performance and accuracy of these devices in different potential scenarios of interest. This study investigated the performance and accuracy of a variety of commercially available activity trackers as regards the estimation of stepcount, distance, and heart rate in a number of walking/household/sedentary activities typical in everyday life, and recreated in a lab-environment in a study population of young adults. Results show that heart rate and stepcount measurements are accurate but unstandardized activities, such as common domestic or leisure tasks, may c...
http://hdl.handle.net/10468/9776
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A full-range, multi-variable, CFD-based methodology to identify abnormal near-wall hemodynamics in a stented coronary artery
(2010)
Murphy, Jonathan; Boyle, Fergal
A full-range, multi-variable, CFD-based methodology to identify abnormal near-wall hemodynamics in a stented coronary artery
(2010)
Murphy, Jonathan; Boyle, Fergal
Abstract:
The benefit of coronary stent implantation is reduced by excessive intimal hyperplasia which re-narrows the artery and the prevention of which is still a primary concern for clinicians. Abnormal hemodynamics create non-physiological viscous stress on the artery wall, one of the root causes of intimal hyperplasia following stent implantation. A methodology to comprehensively evaluate the viscous stress on the artery wall following stent implantation would be useful to evaluate a stent’s hemodynamic performance. The proposed methodology employs 3D computational fluid dynamics, the variables wall shear stress (WSS), WSS gradient (WSSG), WSS angle gradient (WSSAG) and a statistical analysis to evaluate the viscous stress. The methodology is demonstrated and compared to a commonly used “threshold technique” for evaluating a stent’s hemodynamic performance. It is demonstrated that the threshold technique is not adequate to fully analyse the viscous stress on the artery wall and can even b...
https://arrow.dit.ie/engschmecart/18
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A New Archaeoastronomical Investigation of the Irish Axial-Stone Circles
(1996)
Prendergast, Frank T.; Ruggles, Clive L.
A New Archaeoastronomical Investigation of the Irish Axial-Stone Circles
(1996)
Prendergast, Frank T.; Ruggles, Clive L.
Abstract:
This paper presents the preliminary results of a project undertaken in 1994 to investigate the astronomical potential of the axial-stone circles (ASCs) of seven or more stones in Counties Cork and Kerry, south-west Ireland. This group of sites is of particular interest in that the monuments in the group bear a striking resemblance to the recumbent stone circles (RSCs) of Aberdeenshire, eastern Scotland, which appear to exhibit a strong pattern of alignment in relation to prominent hilltop summits and the rising and setting position of the moon. The first indications from the Irish data are that similar patterns of alignment are not evident in the Irish ASCs. The Irish sites show no preference for orientation upon prominent hilltops and no clear astronomical trends.
https://arrow.dit.ie/archastrocon/1
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A statistical modeling based system for blink detection in digital cameras
(2013)
Corcoran, Peter; Bacivarov, Ioana; Jonita, Mircea C
A statistical modeling based system for blink detection in digital cameras
(2013)
Corcoran, Peter; Bacivarov, Ioana; Jonita, Mircea C
Abstract:
Conference paper
In this paper we describe a system which uses statistical eye modeling to track the eyes and detect eyes blinking. The main challenge was to design an eye model robust to small variations of head pose and to extract the parameters of the model which encode the variation caused by blinking.
http://hdl.handle.net/10379/3850
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A statistically-based fault detection approach for environmental and energy management in buildings
(2019)
Horrigan, Matthew; Turner, William J. N.; O'Donnell, James
A statistically-based fault detection approach for environmental and energy management in buildings
(2019)
Horrigan, Matthew; Turner, William J. N.; O'Donnell, James
Abstract:
Commercial buildings during operation are dynamic environments where changes to control strategies and space usage regularly occur. As a result of these and other issues, a performance gap between design intent and actual building performance emerges. This paper seeks to address the operational performance gap and enhance operational building performance through statistically-based fault detection. Additionally, this paper seeks to remedy the knowledge gap building managers face in the identification of key building faults based on minimal quantities and streams of time-series building data. A new methodology is presented that incorporates simulation and breakout detection to address these issues. Residual based exponentially weighted moving average (EWMA) charts and Shewhart charts are compared against a breakout detection algorithm to identify shifts or faults in building performance data. Artificial faults are introduced into the measured time-series data to test the validity of ...
http://hdl.handle.net/10197/11003
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An illustration of the use of model-based bootstrapping for evaluation of uncertainty in kinetic information derived from dynamic PET
(2019)
Gu, Fengyun; Wu, Qi; O'Sullivan, Finbarr; Huang, Jian; Muzi, Mark; Mankoff, David A.
An illustration of the use of model-based bootstrapping for evaluation of uncertainty in kinetic information derived from dynamic PET
(2019)
Gu, Fengyun; Wu, Qi; O'Sullivan, Finbarr; Huang, Jian; Muzi, Mark; Mankoff, David A.
Abstract:
Kinetic mapping via mixture analysis[8], [10] involves comprehensive voxel-level analysis of dynamic PET data. Bootstrapping from the fitted mixture model gives the ability to directly simulate statistical copies of the 4-D PET data, and following suitable analysis, subsequent simulations of the associated kinetic maps. This gives the ability to numerically evaluate uncertainties in inferences associated with kinetic information. We provide a simple introduction to the concept of the model-based bootstrap and an illustration of the use of the approach for kinetic mapping from dynamic PET using results from recent work in Huang et al.[4]. The illustration is from a PET flow-metabolism imaging study in a breast cancer patient. It involves separate dynamic PET imaging following injections of O-15 H2O and F-18 FDG. The bootstrapped data is created in the image domain rather than the projection domain, so there is no reconstruction requirement involved.
http://hdl.handle.net/10468/10581
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Automatic indexing of consumer image collections using person recognition techniques
(2011)
Corcoran, Peter; Costache, Gabriel
Automatic indexing of consumer image collections using person recognition techniques
(2011)
Corcoran, Peter; Costache, Gabriel
Abstract:
An evaluation of person recognition technologies for use in an automatic cataloging tool for consumer image collections is presented. Prototype implementations of the automatic cataloging tool and user search tools are described. A preliminary statistical analysis of the success rate of these tools is given.
http://hdl.handle.net/10379/1592
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Beyond simple imaging with energetic beams – nanopatterning, correlative microscopy and statistical analysis of inclusions
(2015)
Schmidt, Michael
Beyond simple imaging with energetic beams – nanopatterning, correlative microscopy and statistical analysis of inclusions
(2015)
Schmidt, Michael
Abstract:
Electron microscopy (EM) has advanced in an exponential way since the first transmission electron microscope (TEM) was built in the 1930’s. The urge to ‘see’ things is an essential part of human nature (talk of ‘seeing is believing’) and apart from scanning tunnel microscopes which give information about the surface, EM is the only imaging technology capable of really visualising atomic structures in depth down to single atoms. With the development of nanotechnology the demand to image and analyse small things has become even greater and electron microscopes have found their way from highly delicate and sophisticated research grade instruments to key-turn and even bench-top instruments for everyday use in every materials research lab on the planet. The semiconductor industry is as dependent on the use of EM as life sciences and pharmaceutical industry. With this generalisation of use for imaging, the need to deploy advanced uses of EM has become more and more apparent. The combinati...
http://hdl.handle.net/10468/2085
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December performance report: supplementary commentary 2015
(2016)
Health Service Executive (HSE)
December performance report: supplementary commentary 2015
(2016)
Health Service Executive (HSE)
http://hdl.handle.net/10147/605696
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Determination of soil permeability coefficient following an updated grading entropy method
(2020)
O'Kelly, Brendan; Nogal, Maria
Determination of soil permeability coefficient following an updated grading entropy method
(2020)
O'Kelly, Brendan; Nogal, Maria
Abstract:
This paper presents a critical review of the grading entropy approach of permeability-coefficient predictions (k P) for coarse-grained soils. The approach applies the grading entropy theory to particle-size distributions (PSDs), such that the entirety of each gradation curve can be interpreted as a single point on a grading entropy chart, plotting its normalised entropy increment (B) against relative base grading entropy (A) values. Published data sets of measured permeability-coefficient (k M) values for saturated compacted silty sand, sand and gravel materials are examined to understand the dependence of A and B on various gradation parameters and the void ratio (e). In particular, log?k M negatively correlates with log?B and positively correlates with log?A and e (log?e). As such, power functions of the form ??=?1??2??3??4 prove statistically superior, noting that the fitting coefficient C 1 to C 4 values are specific to the PSD range and densification (compaction) states investi...
http://hdl.handle.net/2262/92672
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Determining minimum data input levels for reliable three-dimensional soil profiling
(2010)
Laefer, Debra F.; O'Neill, James; Williams, Derek
Determining minimum data input levels for reliable three-dimensional soil profiling
(2010)
Laefer, Debra F.; O'Neill, James; Williams, Derek
Abstract:
Presented at the 2009 International Foundation Congress and Equipment Expo, March 14-19, Orlando, Florida
The ultimate goal of the project reported herein was to determine whether or not a readily quantifiable threshold data density could be established to accurately predict subsurface lithology. A study area in Dublin Ireland was selected for its high density of data (567 boreholes in less than 2km2) and for it being slated for the first phase of the upcoming Dublin metro. Analysis was conducted using the krieging function embedded in ArcGIS based on identifiable lithologies. Difficulties were encounter based on inconsistent labeling and the program's inability to cope with the presence of a single lithology appearing multiple times within a single soil profiles. In an area of 10,000m2, a minimumdata density of 8.0 boreholes predicted bedrock within 0.5m. Whereas in an area of 90,000m2, a sampling density of 8.3 was per 10,000m2 was needed to achieve the same accuracy, app...
http://hdl.handle.net/10197/2164
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Developing Archetypes for Domestic Dwellings:an Irish Case Study
(2012)
Famuyibo, Albert; Duffy, Aidan; Strachan, Paul
Developing Archetypes for Domestic Dwellings:an Irish Case Study
(2012)
Famuyibo, Albert; Duffy, Aidan; Strachan, Paul
Abstract:
Stock modelling, based on representative archetypes, is a promising tool for exploring areas for resource and emission reductions in the residential sector. The use of archetypes developed using detailed statistical analysis (multi-linear regression analysis, clustering and descriptive statistics) rather than traditional qualitative techniques allows a more accurate representation of the overall building stock variability in terms of geometric form, constructional materials and operation. This paper presents a methodology for the development of archetypes based on information from literature and a sample of detailed energy-related housing data. The methodology involves a literature review of studies to identify the most important variables which explain energy use and regression analysis of a housing database to identify the most relevant variables associated with energy consumption. A statistical analysis of the distributions for each key variable was used to identify representativ...
https://arrow.dit.ie/dubenart/51
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Exponential family mixed membership models for soft?clustering of multivariate data
(2016)
White, Arthur
Exponential family mixed membership models for soft?clustering of multivariate data
(2016)
White, Arthur
Abstract:
For several years, model-based clustering methods have successfully tackled many of the challenges presented by data-analysts. However, as the scope of data analysis has evolved, some problems may be beyond the standard mixture model framework. One such problem is when observations in a dataset come from overlapping clusters, whereby different clusters will possess similar parameters for multiple variables. In this setting, mixed membership models, a soft clustering approach whereby observations are not restricted to single cluster membership, have proved to be an effective tool. In this paper, a method for fitting mixed membership models to data generated by a member of an exponential family is outlined. The method is applied to count data obtained from an ultra running competition, and compared with a standard mixture model approach.
http://hdl.handle.net/2262/76841
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Mixed membership models for rank data: Investigating structure in Irish voting data
(2015)
Gormley, Isobel Claire; Murphy, Thomas Brendan
Mixed membership models for rank data: Investigating structure in Irish voting data
(2015)
Gormley, Isobel Claire; Murphy, Thomas Brendan
Abstract:
A mixed membership model is an individual level mixture model where individuals have partial membership of the profiles (or groups) that characterize a population. A mixed membership model for rank data is outlined and illustrated through the analysis of voting in the 2002 Irish general election. This particular election uses a voting system called proportional representation using a single transferable vote (PR-STV) where voters rank some or all of the candidates in order of preference. The data set considered consists of all votes in a constituency from the 2002 Irish general election. Interest lies in highlighting distinct voting profiles within the electorate and studying how voters affiliate themselves to these voting profiles. The mixed membership model for rank data is fitted to the voting data and is shown to give a concise and highly interpretable explanation of voting patterns in this election.
http://hdl.handle.net/10197/7185
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Modelling the levels of historic waste electrical and electronic equipment in Ireland
(2018)
Johnson, Michael; Fitzpatrick, Colin; Wagner, Michelle; Huisman, Jaco
Modelling the levels of historic waste electrical and electronic equipment in Ireland
(2018)
Johnson, Michael; Fitzpatrick, Colin; Wagner, Michelle; Huisman, Jaco
Abstract:
The full text of this article will not be available in ULIR until the embargo expires on the 21/12/2019
The implementation of the WEEE Directive in Ireland introduced a formal system for the return & environmentally sound management of WEEE. Visible fees were introduced to cover the cost of the environmentally sound management of “historic WEEE”. However, very little was known about the levels of historic WEEE that would arise, which created uncertainty with regard to funding the management of this historic WEEE. This research employed novel modelling techniques in order to determine existing WEEE levels and predict the percentages of historic WEEE in Ireland. The research focused on “cold”, "large domestic appliances" and television WEEE and calculates Irish historic WEEE levels using data from disparate sources. The model determines EEE sales, total WEEE figures and the ratio of historic to non-historic WEEE for years 2000-2020. The research findings indicate tha...
http://hdl.handle.net/10344/6780
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News, Sentiment, and Financial Markets: A Computational System to Evaluate the Influence of Text Sentiment on Financial Assets.
(2016)
KELLY, STEPHEN
News, Sentiment, and Financial Markets: A Computational System to Evaluate the Influence of Text Sentiment on Financial Assets.
(2016)
KELLY, STEPHEN
Abstract:
With the advent of the internet and digitisation of news and books, the volume of unstructured text has increased dramatically in recent years. This deluge of information is set to grow and come from new and unconventional sources. New and innovative techniques and tools for manipulating this data and making sense of it will become essential. The work in this thesis consists of a system that analyses the content of news, extracting a sentiment time series variable, and uses this variable in a time series modelling component to determine any inter-relationships between changes in the price of financial assets. Each component of the system attempts to remove human subjectivity from the modelling process to allow the system to compute a sentiment variable and investigate its statistical significance and explanatory power by employing several time series models. The system includes a number of processes and components to achieve this goal such as data harvesting, processing, text analys...
http://hdl.handle.net/2262/79727
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Next Generation Face Tracking Technology Using AAM Techniques
(2011)
Corcoran, Peter; Ionita, Mircea C.; Bacivarov, Ioana
Next Generation Face Tracking Technology Using AAM Techniques
(2011)
Corcoran, Peter; Ionita, Mircea C.; Bacivarov, Ioana
Abstract:
This paper realizes an investigation of the active appearance model (AAM) techniques, with particular emphasis on problems related to the implementation of AAM in realtime face tracking applications for embedded systems. The paper includes (a) new training and model construction approaches for AAMs with increased robustness to head pose variations and changes in the illumination conditions, and (b) a corresponding AAM-based face tracking scheme.
http://hdl.handle.net/10379/1618
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Nonhomogeneous spatial distribution of filamentary leakage current paths in circular area Pt/HfO2/Pt capacitors
(2013)
Miranda, Enrique; Jiménez, David; Suñé, J.; O'Connor, Éamon; Monaghan, Scott; Pove...
Nonhomogeneous spatial distribution of filamentary leakage current paths in circular area Pt/HfO2/Pt capacitors
(2013)
Miranda, Enrique; Jiménez, David; Suñé, J.; O'Connor, Éamon; Monaghan, Scott; Povey, Ian M.; Cherkaoui, Karim; Hurley, Paul K.
Abstract:
Filamentary leakage current paths can occur in circular area Pt/HfO2/Pt capacitors as the result of severe electrical stress. The spatial distribution of these paths is investigated using 2D statistical methods. The filamentary paths are associated with important thermal effects occurring inside the HfO2 layer and manifest externally as a random spot pattern on the top Pt electrode. It is shown in this paper that for the devices with the largest areas significant departures from homogeneity are detected close to the peripheries of the structures. These deviations are observed as a lower density of spots than expected for a homogeneous Poisson process. Although the ultimate reason for this anomaly is still under investigation, our results demonstrate that the complete spatial randomness frequently assumed in oxide reliability analysis should not be taken for granted.
http://hdl.handle.net/10468/1647
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Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma
(2018)
Wolsztynski, Eric; O'Sullivan, Finbarr; Keyes, Eimear; O'Sullivan, Janet; Ear...
Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma
(2018)
Wolsztynski, Eric; O'Sullivan, Finbarr; Keyes, Eimear; O'Sullivan, Janet; Eary, Janet F.
Abstract:
Intratumoral heterogeneity biomarkers derived from positron emission tomography (PET) imaging with fluorodeoxyglucose (FDG) are of interest for a number of cancers, including sarcoma. A range of radiomic texture variables, adapted from general methodologies for image analysis, has shown promise in the setting. In the context of sarcoma, our group introduced an alternative model-based approach to the measurement of heterogeneity. In this approach, the heterogeneity of a tumor is characterized by the extent to which the 3-D FDG uptake pattern deviates from a simple elliptically contoured structure. By using a nonparametric analysis of the uptake profile obtained from this spatial model, a variable assessing the metabolic gradient of the tumor is developed. The work explores the prognostic potential of this new variable in the context of FDG-PET imaging of sarcoma. A mature clinical series involving 197 patients, 88 of whom have complete time-to-death information, is used. Texture vari...
http://hdl.handle.net/10468/6883
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Probing crystal nucleation of fenoxycarb from solution through the effect of solvent
(2019)
Zeglinski, Jacek; Kuhs, Manuel; Devi, Renuka K.; Khamar, Dikshitkumar; Hegarty, Avril C...
Probing crystal nucleation of fenoxycarb from solution through the effect of solvent
(2019)
Zeglinski, Jacek; Kuhs, Manuel; Devi, Renuka K.; Khamar, Dikshitkumar; Hegarty, Avril C.; Thompson, Damien; Rasmuson, Åke C.
Abstract:
Induction time experiments, spectroscopic and calorimetric analysis, and molecular modelling were used to probe the influence of solvent on the crystal nucleation of fenoxycarb (FC), a medium-sized, flexible organic molecule. 800 induction times covering a range of supersaturations and crystallisation temperatures in four different solvents were measured to elucidate the relative ease of nucleation. To achieve similar induction times, the required thermodynamic driving force, RTlnS, increases in the order: ethyl acetate < toluene < ethanol < isopropanol. This is roughly matched by the order of interfacial energies calculated using the Classical Nucleation Theory. Solvent-solute interaction strengths were estimated using three methods: solvent-solute enthalpies derived from calorimetric solution enthalpies, solvent-solute interactions from Molecular Dynamics simulations, and the FTIR shifts in the carbonyl stretching corresponding to the solvent-solute interaction. The three...
http://hdl.handle.net/10344/7742
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Pump-as-turbines for hydropower energy recovery from on-demand irrigation networks: Flow fluctuation characterisation, energy potential extrapolation, and real-scale implementation.
(2020)
Crespo Chacon, Miguel
Pump-as-turbines for hydropower energy recovery from on-demand irrigation networks: Flow fluctuation characterisation, energy potential extrapolation, and real-scale implementation.
(2020)
Crespo Chacon, Miguel
Abstract:
More water efficient irrigation techniques have been studied and developed during the last decades, and are becoming of significant importance in arid and semi-arid regions, as these are leading to more energy intensive irrigation infrastructures. This thesis presents hydropower energy recovery as a potential measure to improve the energy efficiency in on-demand irrigation networks. Findings in four main elements of work are developed, presented and discussed, related to: i) flow fluctuations prediction, ii) feasibility assessment, iii) energy potential extrapolation and iv) real-scale implementation. On the first element, a new methodology to predict the in-pipe flow variations in on-demand networks along an irrigation season was developed. As fluctuations in the flow rate provokes considerable effects on turbine efficiency for hydropower energy recovery, this characterisation is largely important to quantify in detail the hydropower potential. Furthermore, the theoretical perform...
http://hdl.handle.net/2262/93212
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Separating Directional Lighting Variability in Statistical Face Modelling Based on Texture Space Decomposition
(2011)
Ionita, Mircea C.; Bacivarov, Ioana; Corcoran, Peter
Separating Directional Lighting Variability in Statistical Face Modelling Based on Texture Space Decomposition
(2011)
Ionita, Mircea C.; Bacivarov, Ioana; Corcoran, Peter
Abstract:
In this paper we propose a simple method for decomposing the linear texture space of a facial appearance model into two linear subspaces, one for inter-individual variability and another for variations caused by directional changes of the lighting conditions. The approach used is to create one linear subspace from individuals with uniform illumination conditions and then filter a set of images with various directional lighting conditions by projecting corresponding textures on the previously built space; the residues are further used to build a second subspace for directional lighting. The resulted subspaces are orthogonal, so the overall texture model can be obtained by a simple concatenation of the two subspaces. The main advantage of this representation is that two sets of parameters are used to control inter-individual variation and separately intra-individual variation due to changes in illumination conditions.
http://hdl.handle.net/10379/1615
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Smartphone use while driving: an investigation of Young Novice Driver (YND) behaviour
(2021)
Jannusch, Tim; Shannon, Darren; Völler, Michaele; Murphy, Finbarr; Mullins, Martin
Smartphone use while driving: an investigation of Young Novice Driver (YND) behaviour
(2021)
Jannusch, Tim; Shannon, Darren; Völler, Michaele; Murphy, Finbarr; Mullins, Martin
Abstract:
Road traffic collisions are the leading cause of death for those between the ages of 15–29, according to the World Health Organisation. This study investigates one of the primary reasons for the high fatality rate amongst Young Novice Drivers (YNDs) – their use of smartphones while driving. We gathered responses from a representative sample of YNDs on their behaviour while driving using an updated version of the ‘Behaviour of Young Novice Drivers Scale’. Survey responses totalled 700 YNDs situated throughout Germany. From these responses, we examined the prevalence of certain driving behaviours that are described as ‘distracting’ and compared these driving behaviours to the respondents’ use of specific smartphone features. The responses report that music-related activities (e.g. changing music on a smartphone) are most common amongst YNDs. Speaking on the phone is seldom-reported, although more males than females indicated engagement in this behaviour. We further carried out a corre...
http://hdl.handle.net/10344/9757
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Social sentiment indices powered by X-scores
(2016)
Davis, Brian; Cortis, Keith; Vasiliu, Laurentiu; Koumpis, Adamantios; McDermott, Ross; ...
Social sentiment indices powered by X-scores
(2016)
Davis, Brian; Cortis, Keith; Vasiliu, Laurentiu; Koumpis, Adamantios; McDermott, Ross; Handschuh, Siegfried
Abstract:
Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social media services, such as Twitter, Google+, Facebook, StockTwits and LinkedIn, and in conjunction with the most reliable and authoritative newswires, online newspapers, financial news networks, trade publications and blogs. A statistical framework of qualitative and quantitative parameters called X-Scores will power SSIX. This framework will interpret economically significant sentiment signals that are disseminated in the social ecosystem. Using X-Scores, SSIX will create commercially viable and exploitable social sentiment indices, regardless of language, locale and data format. SSIX and X-Scores will support research and investment decision making for European SMEs, enabling end users to analyse and leverage real-time social media sentiment data in their domain, ...
http://hdl.handle.net/10379/5855
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Statistical study of stacked/coupled site-controlled pyramidal quantum dots and their excitonic properties
(2017)
Moroni, Stefano T.; Chung, Tung-Hsun; Juska, Gediminas; Gocalińska, Agnieszka M.; Peluc...
Statistical study of stacked/coupled site-controlled pyramidal quantum dots and their excitonic properties
(2017)
Moroni, Stefano T.; Chung, Tung-Hsun; Juska, Gediminas; Gocalińska, Agnieszka M.; Pelucchi, Emanuele
Abstract:
We report on stacked multiple quantum dots (QDs) formed inside inverted pyramidal recesses, which allow for the precise positioning of the QDs themselves. Specifically, we fabricated double QDs with varying inter-dot distances and ensembles with more than two nominally highly symmetric QDs. For each, the effect of the interaction between QDs is studied by characterizing a large number of QDs through photoluminescence spectroscopy. A clear red-shift of the emission energy is observed together with a change in the orientation of its polarization, suggesting an increasing interaction between the QDs. Finally, we show how stacked QDs can help influencing the charging of the excitonic complexes.
http://hdl.handle.net/10468/4691
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