subject:(Data Fusion)

1. Ahmed Bacha, Adda Redouane. Localisation multi-hypothèses pour l'aide à la conduite : conception d'un filtre "réactif-coopératif" : Multi-assumptions localization for driving assistance : design of a "reactive-cooperative" filter.

Degree: Docteur es, Génie informatique, automatique et traitement du signal, 2014, Evry-Val d'Essonne

URL: http://www.theses.fr/2014EVRY0051

►

“ Lorsqu'on utilise des données provenant d'une seule source,C'est du plagiat;Lorsqu'on utilise plusieurs sources,C'est de la fusion de données ”Ces travaux présentent une approche de… (more)

▼

“ Lorsqu'on utilise des données provenant d'une seule source,C'est du plagiat;Lorsqu'on utilise plusieurs sources,C'est de la fusion de données ”Ces travaux présentent une approche de fusion de données collaborative innovante pour l'égo-localisation de véhicules routiers. Cette approche appelée filtre de Kalman optimisé à essaim de particules (Optimized Kalman Particle Swarm) est une méthode de fusion de données et de filtrage optimisé. La fusion de données est faite en utilisant les données d'un GPS à faible coût, une centrale inertielle, un compteur odométrique et un codeur d'angle au volant. Ce travail montre que cette approche est à la fois plus robuste et plus appropriée que les méthodes plus classiques d'égo-localisation aux situations de conduite urbaine. Cette constatation apparait clairement dans le cas de dégradations des signaux capteurs ou des situations à fortes non linéarités. Les méthodes d'égo-localisation de véhicules les plus utilisées sont les approches bayésiennes représentées par le filtre de Kalman étendu (Extended Kalman Filter) et ses variantes (UKF, DD1, DD2). Les méthodes bayésiennes souffrent de sensibilité aux bruits et d'instabilité pour les cas fortement non linéaires. Proposées pour couvrir les limitations des méthodes bayésiennes, les approches multi-hypothèses (à base de particules) sont aussi utilisées pour la localisation égo-véhiculaire. Inspiré des méthodes de simulation de Monte-Carlo, les performances du filtre à particules (Particle Filter) sont fortement dépendantes des ressources en matière de calcul. Tirant avantage des techniques de localisation existantes et en intégrant les avantages de l'optimisation méta heuristique, l'OKPS est conçu pour faire face aux bruits, aux fortes dynamiques, aux données non linéaires et aux besoins d'exécution en temps réel. Pour l'égo-localisation d'un véhicule, en particulier pour les manœuvres très dynamiques sur route, un filtre doit être robuste et réactif en même temps. Le filtre OKPS est conçu sur un nouvel algorithme de localisation coopérative-réactive et dynamique inspirée par l'Optimisation par Essaim de Particules (Particle Swarm Optimization) qui est une méthode méta heuristique. Cette nouvelle approche combine les avantages de la PSO et des deux autres filtres: Le filtre à particules (PF) et le filtre de Kalman étendu (EKF). L'OKPS est testé en utilisant des données réelles recueillies à l'aide d'un véhicule équipé de capteurs embarqués. Ses performances sont testées en comparaison avec l'EKF, le PF et le filtre par essaim de particules (Swarm Particle Filter). Le filtre SPF est un filtre à particules hybride intéressant combinant les avantages de la PSO et du filtrage à particules; Il représente la première étape de la conception de l'OKPS. Les résultats montrent l'efficacité de l'OKPS pour un scénario de conduite à dynamique élevée avec des données GPS endommagés et/ou de qualité faible.

“ When we use information from one source,it's plagiarism;Wen we use information from many,it's information fusion ”This work presents an…

Advisors/Committee Members: Gruyer, Dominique (thesis director).

Subjects/Keywords: Fusion de données; Data fusion

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ahmed Bacha, A. R. (2014). Localisation multi-hypothèses pour l'aide à la conduite : conception d'un filtre "réactif-coopératif" : Multi-assumptions localization for driving assistance : design of a "reactive-cooperative" filter. (Doctoral Dissertation). Evry-Val d'Essonne. Retrieved from http://www.theses.fr/2014EVRY0051

Chicago Manual of Style (16^th Edition):

Ahmed Bacha, Adda Redouane. “Localisation multi-hypothèses pour l'aide à la conduite : conception d'un filtre "réactif-coopératif" : Multi-assumptions localization for driving assistance : design of a "reactive-cooperative" filter.” 2014. Doctoral Dissertation, Evry-Val d'Essonne. Accessed March 08, 2021. http://www.theses.fr/2014EVRY0051.

MLA Handbook (7^th Edition):

Ahmed Bacha, Adda Redouane. “Localisation multi-hypothèses pour l'aide à la conduite : conception d'un filtre "réactif-coopératif" : Multi-assumptions localization for driving assistance : design of a "reactive-cooperative" filter.” 2014. Web. 08 Mar 2021.

Vancouver:

Ahmed Bacha AR. Localisation multi-hypothèses pour l'aide à la conduite : conception d'un filtre "réactif-coopératif" : Multi-assumptions localization for driving assistance : design of a "reactive-cooperative" filter. [Internet] [Doctoral dissertation]. Evry-Val d'Essonne; 2014. [cited 2021 Mar 08]. Available from: http://www.theses.fr/2014EVRY0051.

Council of Science Editors:

Ahmed Bacha AR. Localisation multi-hypothèses pour l'aide à la conduite : conception d'un filtre "réactif-coopératif" : Multi-assumptions localization for driving assistance : design of a "reactive-cooperative" filter. [Doctoral Dissertation]. Evry-Val d'Essonne; 2014. Available from: http://www.theses.fr/2014EVRY0051

Penn State University

2. Agumamidi, Rachana Reddy. Hard Sensor Processing for Data Fusion.

Degree: 2011, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/11868

► There is a vast amount of information available these days that can be used in the right direction to prevent several extreme/disastrous events. This information… (more)

Subjects/Keywords: Data fusion; surveillance; video; tracking

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Agumamidi, R. R. (2011). Hard Sensor Processing for Data Fusion. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Agumamidi, Rachana Reddy. “Hard Sensor Processing for Data Fusion.” 2011. Thesis, Penn State University. Accessed March 08, 2021. https://submit-etda.libraries.psu.edu/catalog/11868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Agumamidi, Rachana Reddy. “Hard Sensor Processing for Data Fusion.” 2011. Web. 08 Mar 2021.

Vancouver:

Agumamidi RR. Hard Sensor Processing for Data Fusion. [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Mar 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/11868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agumamidi RR. Hard Sensor Processing for Data Fusion. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

3. Borghols, E. (author). Estimating Queue Lengths on Signalized Urban Arterials using Traffic Data Fusion.

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:ee35575b-4dac-4d85-bc0c-27e1e11182ff

Transport & Planning

Civil Engineering and Geosciences

Advisors/Committee Members: Van Lint, J.W.C. (mentor).

Subjects/Keywords: data fusion

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Borghols, E. (. (2015). Estimating Queue Lengths on Signalized Urban Arterials using Traffic Data Fusion. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ee35575b-4dac-4d85-bc0c-27e1e11182ff

Chicago Manual of Style (16^th Edition):

Borghols, E (author). “Estimating Queue Lengths on Signalized Urban Arterials using Traffic Data Fusion.” 2015. Masters Thesis, Delft University of Technology. Accessed March 08, 2021. http://resolver.tudelft.nl/uuid:ee35575b-4dac-4d85-bc0c-27e1e11182ff.

MLA Handbook (7^th Edition):

Borghols, E (author). “Estimating Queue Lengths on Signalized Urban Arterials using Traffic Data Fusion.” 2015. Web. 08 Mar 2021.

Vancouver:

Borghols E(. Estimating Queue Lengths on Signalized Urban Arterials using Traffic Data Fusion. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Mar 08]. Available from: http://resolver.tudelft.nl/uuid:ee35575b-4dac-4d85-bc0c-27e1e11182ff.

Council of Science Editors:

Borghols E(. Estimating Queue Lengths on Signalized Urban Arterials using Traffic Data Fusion. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:ee35575b-4dac-4d85-bc0c-27e1e11182ff

Georgia Tech

4. Akanser, Alper. Energy-efficient reading of correlated wireless sensors.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/55573

► The objective of this research is to design and analyze data fusion schemes for energy efficient reading of correlated wireless sensors using cooperative communications. A… (more)

Subjects/Keywords: cooperative communications; data fusion

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Akanser, A. (2016). Energy-efficient reading of correlated wireless sensors. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55573

Chicago Manual of Style (16^th Edition):

Akanser, Alper. “Energy-efficient reading of correlated wireless sensors.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 08, 2021. http://hdl.handle.net/1853/55573.

MLA Handbook (7^th Edition):

Akanser, Alper. “Energy-efficient reading of correlated wireless sensors.” 2016. Web. 08 Mar 2021.

Vancouver:

Akanser A. Energy-efficient reading of correlated wireless sensors. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1853/55573.

Council of Science Editors:

Akanser A. Energy-efficient reading of correlated wireless sensors. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55573

University of Waterloo

5. Khaleghi, Bahador. Distributed Random Set Theoretic Soft/Hard Data Fusion.

Degree: 2012, University of Waterloo

URL: http://hdl.handle.net/10012/6842

► Research on multisensor data fusion aims at providing the enabling technology to combine information from several sources in order to form a unifi ed picture.… (more)

Subjects/Keywords: Data Fusion; Random Set Theory

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Khaleghi, B. (2012). Distributed Random Set Theoretic Soft/Hard Data Fusion. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6842

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Khaleghi, Bahador. “Distributed Random Set Theoretic Soft/Hard Data Fusion.” 2012. Thesis, University of Waterloo. Accessed March 08, 2021. http://hdl.handle.net/10012/6842.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Khaleghi, Bahador. “Distributed Random Set Theoretic Soft/Hard Data Fusion.” 2012. Web. 08 Mar 2021.

Vancouver:

Khaleghi B. Distributed Random Set Theoretic Soft/Hard Data Fusion. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10012/6842.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khaleghi B. Distributed Random Set Theoretic Soft/Hard Data Fusion. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6842

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

6. Sinsley, Gregory. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.

Degree: 2012, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16157

► One of the biggest challenges currently facing the robotics field is sensor data fusion. Unmanned robots carry many sophisticated sensors including visual and infrared cameras,… (more)

Subjects/Keywords: sensor data fusion; information fusion; soft sensor data fusion; random set theory; particle filter

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sinsley, G. (2012). Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16157

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sinsley, Gregory. “Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.” 2012. Thesis, Penn State University. Accessed March 08, 2021. https://submit-etda.libraries.psu.edu/catalog/16157.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sinsley, Gregory. “Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.” 2012. Web. 08 Mar 2021.

Vancouver:

Sinsley G. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Mar 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/16157.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sinsley G. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/16157

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

7. Khalil, George Magdy. Data fusion.

Degree: 2016, University of Georgia

URL: http://hdl.handle.net/10724/35357"

► Maximizing the utility of surveys while not adding questions is of utmost importance to surveillance systems. Public health agencies need to keep the ever-decreasing number… (more)

▼ Maximizing the utility of surveys while not adding questions is of utmost importance to surveillance systems. Public health agencies need to keep the ever-decreasing number of participants from breaking off after an interview is started. A common reason a participant breaks off is due to the length of the survey. It is therefore important that organizations conducting surveillance investigate innovative techniques of combining data from multiple, less extensive surveys. Data fusion is one such technique that has been used to integrate databases to save time and money. Health insurance status is a good topic to use for the validation of data fusion because this variable is common to many data sources and has a body of literature documenting factors associated with being insured. Besides data availability, respondents are thought to be accurate in reporting health insurance status and type (Call et al., 2008a). The goal of this research was to create "statistical twins" based on health insurance status from two data sources. Matched respondents were considered "statistical twins" and used to test whether data fusion is an effective method of predicting a variable not originally asked in the survey, given the respondent’s profile. Data from the Behavioral Risk Factor Surveillance System’s (BRFSS’s) survey and the National Health Interview Survey (NHIS) were matched by first harmonizing the variables from the two data sources. A propensity score was calculated, which was then used to perform Mahalanobis and Nearest Neighbor matching across the two surveys. The efficiency of the match was then validated: 88.2% of the 297,734 BRFSS respondents reported being covered by a health insurance, while 83.0% of the 27, 921 NHIS respondents reported currently being insured. Propensity scores were left-modal for both the NHIS and the BRFSS. Quantile- Quantile (QQ) plots, which plot the quantiles of one data set against another data revealed that after the match, the empirical distributions were similar in the BRFSS and NHIS groups. Compared to the original BRFSS dataset, the 2-to1 Nearest Neighbor (NN) algorithm was the closest to the BRRFSS respondents (86.2% [86.0, 86.50] versus 88.2% [88.1, 88.3], respectively). This is quite good considering national estimates differ by a few percentage points from survey to survey. Our imputed estimates are not within the confidence interval of the BRFSS. However, being within the narrow BRFSS confidence interval may be too rigorous a standard because of the very large sample size of the BRFSS. Sensitivities and specificities reveal that 2-to-1 NN with replacement and Mahalanobis were more accurate than Nearest Neighbor methods with caliper, without replacement and 1-to-1 matching.

Subjects/Keywords: Data Fusion; Data Integration, Matching, BRFSS, NHIS

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Khalil, G. M. (2016). Data fusion. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/35357"

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Khalil, George Magdy. “Data fusion.” 2016. Thesis, University of Georgia. Accessed March 08, 2021. http://hdl.handle.net/10724/35357".

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Khalil, George Magdy. “Data fusion.” 2016. Web. 08 Mar 2021.

Vancouver:

Khalil GM. Data fusion. [Internet] [Thesis]. University of Georgia; 2016. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10724/35357".

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khalil GM. Data fusion. [Thesis]. University of Georgia; 2016. Available from: http://hdl.handle.net/10724/35357"

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

8. Tarolli, Jay Gage. Improving the Image Quality of Time-of-flight Secondary Ion Mass spectrometry Images.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/27090

► As the boundaries of secondary ion mass spectrometry (SIMS) are pushed to chemically image biological systems with even greater spatial resolution, an inherent lack of… (more)

Subjects/Keywords: Image Fusion; Secondary Ion Mass Spectrometry; Data Analysis; Data Fusion

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Tarolli, J. G. (2015). Improving the Image Quality of Time-of-flight Secondary Ion Mass spectrometry Images. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/27090

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Tarolli, Jay Gage. “Improving the Image Quality of Time-of-flight Secondary Ion Mass spectrometry Images.” 2015. Thesis, Penn State University. Accessed March 08, 2021. https://submit-etda.libraries.psu.edu/catalog/27090.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Tarolli, Jay Gage. “Improving the Image Quality of Time-of-flight Secondary Ion Mass spectrometry Images.” 2015. Web. 08 Mar 2021.

Vancouver:

Tarolli JG. Improving the Image Quality of Time-of-flight Secondary Ion Mass spectrometry Images. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Mar 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/27090.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tarolli JG. Improving the Image Quality of Time-of-flight Secondary Ion Mass spectrometry Images. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/27090

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Medjahed, Hamid. Distress situation identification by multimodal data fusion for home healthcare telemonitoring : Identification de situation de détresse par la fusion de données multimodales pour la télévigilance médicale à domicile.

Degree: Docteur es, Science de l'ingénieur, 2010, Evry, Institut national des télécommunications

URL: http://www.theses.fr/2010TELE0002

►

Aujourd'hui, la proportion des personnes âgées devient importante par rapport à l'ensemble de la population, et les capacités d'admission dans les hôpitaux sont limitées. En… (more)

▼

Aujourd'hui, la proportion des personnes âgées devient importante par rapport à l'ensemble de la population, et les capacités d'admission dans les hôpitaux sont limitées. En conséquence, plusieurs systèmes de télévigilance médicale ont été développés, mais il existe peu de solutions commerciales. Ces systèmes se concentrent soit sur la mise en oeuvre d’une architecture générique pour l'intégration des systèmes d'information médicale, soit sur l'amélioration de la vie quotidienne des patients en utilisant divers dispositifs automatiques avec alarme, soit sur l’offre de services de soins aux patients souffrant de certaines maladies comme l'asthme, le diabète, les problèmes cardiaques ou pulmonaires, ou la maladie d'Alzheimer. Dans ce contexte, un système automatique pour la télévigilance médicale à domicile est une solution pour faire face à ces problèmes et ainsi permettre aux personnes âgées de vivre en toute sécurité et en toute indépendance à leur domicile. Dans cette thèse, qui s’inscrit dans le cadre de la télévigilance médicale, un nouveau système de télévigilance médicale à plusieurs modalités nommé EMUTEM (Environnement Multimodale pour la Télévigilance Médicale) est présenté. Il combine et synchronise plusieurs modalités ou capteurs, grâce à une technique de fusion de données multimodale basée sur la logique floue. Ce système peut assurer une surveillance continue de la santé des personnes âgées. L'originalité de ce système avec la nouvelle approche de fusion est sa flexibilité à combiner plusieurs modalités de télévigilance médicale. Il offre un grand bénéfice aux personnes âgées en surveillant en permanence leur état de santé et en détectant d’éventuelles situations de détresse.

The population age increases in all societies throughout the world. In Europe, for example, the life expectancy for men is about 71 years and for women about 79 years. For North America the life expectancy, currently is about 75 for men and 81 for women. Moreover, the elderly prefer to preserve their independence, autonomy and way of life living at home the longest time possible. The current healthcare infrastructures in these countries are widely considered to be inadequate to meet the needs of an increasingly older population. Home healthcare monitoring is a solution to deal with this problem and to ensure that elderly people can live safely and independently in their own homes for as long as possible. Automatic in-home healthcare monitoring is a technological approach which helps people age in place by continuously telemonitoring. In this thesis, we explore automatic in-home healthcare monitoring by conducting a study of professionals who currently perform in-home healthcare monitoring, by combining and synchronizing various telemonitoring modalities,under a data synchronization and multimodal data fusion platform, FL-EMUTEM (Fuzzy Logic Multimodal Environment for Medical Remote Monitoring). This platform incorporates algorithms that process each modality and providing a technique of multimodal data fusion which can ensures a…

Advisors/Committee Members: Dorizzi, Bernadette (thesis director).

Subjects/Keywords: Télémédecine; Fusion multimodale; Télévigilance; Telemedicine; Multimodal data fusion; Telemonitoring

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Medjahed, H. (2010). Distress situation identification by multimodal data fusion for home healthcare telemonitoring : Identification de situation de détresse par la fusion de données multimodales pour la télévigilance médicale à domicile. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2010TELE0002

Chicago Manual of Style (16^th Edition):

Medjahed, Hamid. “Distress situation identification by multimodal data fusion for home healthcare telemonitoring : Identification de situation de détresse par la fusion de données multimodales pour la télévigilance médicale à domicile.” 2010. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed March 08, 2021. http://www.theses.fr/2010TELE0002.

MLA Handbook (7^th Edition):

Medjahed, Hamid. “Distress situation identification by multimodal data fusion for home healthcare telemonitoring : Identification de situation de détresse par la fusion de données multimodales pour la télévigilance médicale à domicile.” 2010. Web. 08 Mar 2021.

Vancouver:

Medjahed H. Distress situation identification by multimodal data fusion for home healthcare telemonitoring : Identification de situation de détresse par la fusion de données multimodales pour la télévigilance médicale à domicile. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2010. [cited 2021 Mar 08]. Available from: http://www.theses.fr/2010TELE0002.

Council of Science Editors:

Medjahed H. Distress situation identification by multimodal data fusion for home healthcare telemonitoring : Identification de situation de détresse par la fusion de données multimodales pour la télévigilance médicale à domicile. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2010. Available from: http://www.theses.fr/2010TELE0002

10. Derville, Alexandre. Développement d'algorithmes de métrologie dédiés à la caractérisation de nano-objets à partir d'informations hétérogènes : Development of nano-object characterization algorithms from heterogeneous data.

Degree: Docteur es, Mathématiques appliquées, 2018, Université Grenoble Alpes (ComUE)

URL: http://www.theses.fr/2018GREAM082

► Ces travaux de thèse s’inscrivent dans le contexte technico/économique des nanomatériaux notamment les nanoparticules et les copolymères. Aujourd’hui, une révolution technologique est en cours avec… (more)

▼ Ces travaux de thèse s’inscrivent dans le contexte technico/économique des nanomatériaux notamment les nanoparticules et les copolymères. Aujourd’hui, une révolution technologique est en cours avec l’introduction de ces matériaux dans des matrices plus ou moins complexes présentes dans notre quotidien (santé, cosmétique, bâtiment, agroalimentaire...). Ces matériaux confèrent à ces produits des propriétés uniques (mécanique, électrique, chimique, thermique, ...). Cette omniprésence associée aux enjeux économiques engendre deux problématiques liées au contrôle des procédés de fabrication et à la métrologie associée. La première est de garantir une traçabilité de ces nanomatériaux afin de prévenir tout risque sanitaire et environnemental et la seconde est d’optimiser le développement des procédés afin de pérenniser des filières économiques rentables. Pour cela, les deux techniques les plus courantes de métrologie utilisées sont : la microscopie électronique à balayage (MEB) et la microscopie à force atomique (AFM).Le premier volet des travaux est consacré au développement d’une méthodologie de fusion de données permettant d’analyser automatiquement les données en provenance de chaque microscope et d’utiliser leurs points forts respectifs afin de réduire les incertitudes de mesure en trois dimensions. Une première partie a été consacrée à la correction d’un défaut majeur d’asservissement de l’AFM qui génère des dérives et/ou sauts dans les signaux. Nous présentons une technique dirigée par les données permettant une correction de ces signaux. La méthode présentée a l’avantage de ne pas faire d’hypothèses sur les objets et leurs positions. Elle peut être utilisée en routine automatique pour l’amélioration du signal avant l’analyse des objets.La deuxième partie est consacrée au développement d’une méthode d’analyse automatique des images de nanoparticules sphériques en provenance d’un AFM ou d’un MEB. Dans le but de développer une traçabilité en 3D, il est nécessaire d’identifier et de mesurer les nanoparticules identiques qui ont été mesurées à la fois sur l’AFM et sur le MEB. Afin d’obtenir deux estimations du diamètre sur la même particule physique, nous avons développé une technique qui permet de mettre en correspondance les particules. Partant des estimations pour les deux types de microscopie, avec des particules présentes dans les deux types d'images ou non, nous présentons une technique qui permet l'agrégation d’estimateurs sur les populations de diamètres afin d'obtenir une valeur plus fiable des propriétés du diamètre des particules.Le second volet de cette thèse est dédié à l’optimisation d’un procédé de fabrication de copolymères à blocs (structures lamellaires) afin d’exploiter toutes les grandeurs caractéristiques utilisées pour la validation du procédé (largeur de ligne, période, rugosité, taux de défauts) notamment à partir d’images MEB afin de les mettre en correspondance avec un ensemble de paramètres de procédé. En effet, lors du développement d’un nouveau procédé, un plan d’expériences est effectué.… Advisors/Committee Members: Coeurjolly, Jean-François (thesis director), Clausel, Marianne (thesis director).

Subjects/Keywords: Statistiques; Fusion de données; Nano-Object; Data fusion; 510; 004

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Derville, A. (2018). Développement d'algorithmes de métrologie dédiés à la caractérisation de nano-objets à partir d'informations hétérogènes : Development of nano-object characterization algorithms from heterogeneous data. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2018GREAM082

Chicago Manual of Style (16^th Edition):

Derville, Alexandre. “Développement d'algorithmes de métrologie dédiés à la caractérisation de nano-objets à partir d'informations hétérogènes : Development of nano-object characterization algorithms from heterogeneous data.” 2018. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed March 08, 2021. http://www.theses.fr/2018GREAM082.

MLA Handbook (7^th Edition):

Derville, Alexandre. “Développement d'algorithmes de métrologie dédiés à la caractérisation de nano-objets à partir d'informations hétérogènes : Development of nano-object characterization algorithms from heterogeneous data.” 2018. Web. 08 Mar 2021.

Vancouver:

Derville A. Développement d'algorithmes de métrologie dédiés à la caractérisation de nano-objets à partir d'informations hétérogènes : Development of nano-object characterization algorithms from heterogeneous data. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2018. [cited 2021 Mar 08]. Available from: http://www.theses.fr/2018GREAM082.

Council of Science Editors:

Derville A. Développement d'algorithmes de métrologie dédiés à la caractérisation de nano-objets à partir d'informations hétérogènes : Development of nano-object characterization algorithms from heterogeneous data. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2018. Available from: http://www.theses.fr/2018GREAM082

Michigan Technological University

11. Demars, Casey D. Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials.

Degree: PhD, Department of Electrical and Computer Engineering, 2018, Michigan Technological University

URL: https://digitalcommons.mtu.edu/etdr/720

► It is critical for defense and security applications to have a high probability of detection and low false alarm rate while operating over a… (more)

▼ It is critical for defense and security applications to have a high probability of detection and low false alarm rate while operating over a wide variety of conditions. Sensor fusion, which is the the process of combining data from two or more sensors, has been utilized to improve the performance of a system by exploiting the strengths of each sensor. This dissertation presents algorithms to fuse multi-sensor data that improves system performance by increasing detection rates, lowering false alarms, and improving track performance. Furthermore, this dissertation presents a framework for comparing algorithm error for image registration which is a critical pre-processing step for multi-spectral image fusion. First, I present an algorithm to improve detection and tracking performance for moving targets in a cluttered urban environment by fusing foreground maps from multi-spectral imagery. Most research in image fusion consider visible and long-wave infrared bands; I examine these bands along with near infrared and mid-wave infrared. To localize and track a particular target of interest, I present an algorithm to fuse output from the multi-spectral image tracker with a constellation of RF sensors measuring a specific cellular emanation. The fusion algorithm matches the Doppler differential from the RF sensors with the theoretical Doppler Differential of the video tracker output by selecting the sensor pair that minimizes the absolute difference or root-mean-square difference. Finally, a framework to quantify shift-estimation error for both area- and feature-based algorithms is presented. By exploiting synthetically generated visible and long-wave infrared imagery, error metrics are computed and compared for a number of area- and feature-based shift estimation algorithms. A number of key results are presented in this dissertation. The multi-spectral image tracker improves the location accuracy of the algorithm while improving the detection rate and lowering false alarms for most spectral bands. All 12 moving targets were tracked through the video sequence with only one lost track that was later recovered. Targets from the multi-spectral tracking algorithm were correctly associated with their corresponding cellular emanation for all targets at lower measurement uncertainty using the root-mean-square difference while also having a high confidence ratio for selecting the true target from background targets. For the area-based algorithms and the synthetic air-field image pair, the DFT and ECC algorithms produces sub-pixel shift-estimation error in regions such as shadows and high contrast painted line regions. The edge orientation feature descriptors increase the number of sub-field estimates while improving the shift-estimation error compared to the Lowe descriptor. Advisors/Committee Members: Dr. Michael C. Roggemann.

Subjects/Keywords: Sensor fusion; image processing; data fusion; target tracking; Signal Processing

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Demars, C. D. (2018). Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials. (Doctoral Dissertation). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etdr/720

Chicago Manual of Style (16^th Edition):

Demars, Casey D. “Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials.” 2018. Doctoral Dissertation, Michigan Technological University. Accessed March 08, 2021. https://digitalcommons.mtu.edu/etdr/720.

MLA Handbook (7^th Edition):

Demars, Casey D. “Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials.” 2018. Web. 08 Mar 2021.

Vancouver:

Demars CD. Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials. [Internet] [Doctoral dissertation]. Michigan Technological University; 2018. [cited 2021 Mar 08]. Available from: https://digitalcommons.mtu.edu/etdr/720.

Council of Science Editors:

Demars CD. Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials. [Doctoral Dissertation]. Michigan Technological University; 2018. Available from: https://digitalcommons.mtu.edu/etdr/720

NSYSU

12. Shiu, Jia-yu. Dual-IMM System for Target Tracking and Data Fusion.

Degree: Master, Electrical Engineering, 2009, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446

► In solving target tracking problems, the Kalman filter (KF) is one of the most widely used estimators. Whether the state of target movement adapts to… (more)

▼ In solving target tracking problems, the Kalman filter (KF) is one of the most widely used estimators. Whether the state of target movement adapts to the changes in the observations depends on the model assumptions. The interacting multiple model (IMM) algorithm uses interaction of a bank of parallel Kalman filters to solve the hypothetical model of tracking maneuvering target. Based on the function of soft switching, the IMM algorithm, with parallel Kalman filters of different dimensions, can perform well by adjusting the model weights. Nonetheless, the uncertainty in measured data and the types of sensing systems used for target tracking may still hinder the signal processing in the IMM. In order to improve the performance of target tracking and signal estimation, the concept of data fusion can be adapted in the IMM-based structures. Multiple IMM based estimators can be used in the structure of multi-sensor data fusion. In this thesis, we propose a dual-IMM estimator structure, in which data fusion of the two IMM estimators is achieved by updating associated model probabilities. Suppose that two sensors for measuring the moving target is affected by the different degrees of noise, the measured data can be processed first through two separate IMM estimators. Then, the IMM-based estimators exchange with each other the estimates, model probabilities and model transition probabilities. The dual-IMM estimator will integrate the shared data based on the proposed dual-IMM algorithm. The dual-IMM estimator can be used to avoid degraded performance of single IMM with insufficient data or undesirable environmental effects. The simulation results show that a single IMM estimator with smaller measurement noise level can be used to compensate the other IMM, which is affected by larger measurement noise. Improved overall performance from the dual-IMM estimator is obtained. Generally speaking, the two IMM estimators in the proposed structure achieve better performance when same level of measurement noise is assumed. The proposed dual-IMM estimator structure can be easily extended to multiple-IMM structure for estimation and data fusion. Advisors/Committee Members: Tzung-Shi Chen (chair), King-Chu Hung (chair), Chin-Der Wann (committee member), Chen-Wen Yen (chair).

Subjects/Keywords: data fusion; Kalman filter; target tracking; IMM

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shiu, J. (2009). Dual-IMM System for Target Tracking and Data Fusion. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shiu, Jia-yu. “Dual-IMM System for Target Tracking and Data Fusion.” 2009. Thesis, NSYSU. Accessed March 08, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shiu, Jia-yu. “Dual-IMM System for Target Tracking and Data Fusion.” 2009. Web. 08 Mar 2021.

Vancouver:

Shiu J. Dual-IMM System for Target Tracking and Data Fusion. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 Mar 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shiu J. Dual-IMM System for Target Tracking and Data Fusion. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

13. Lin, Yu-Tsen. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.

Degree: Master, Electrical Engineering, 2009, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910

► In this thesis, we investigate a decentralized data fusion system with improved particle filters for target tracking. In many application areas, it becomes essential to… (more)

Subjects/Keywords: decentralized data fusion; target tracking; particle filter

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lin, Y. (2009). Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lin, Yu-Tsen. “Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.” 2009. Thesis, NSYSU. Accessed March 08, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lin, Yu-Tsen. “Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.” 2009. Web. 08 Mar 2021.

Vancouver:

Lin Y. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 Mar 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin Y. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

14. Holland, Kyle. Statistical Methods in Photogrammetry and Image-Lidar Fusion.

Degree: Environmental Science, Policy, & Management, 2013, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/92d798fm

► A primary application of photogrammetry is to process, discriminate and classify optical imagery into 3D objects. Light detection and ranging (lidar) is an active sensor… (more)

Subjects/Keywords: Remote sensing; Data Fusion; Lidar; Photogrammetry

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Holland, K. (2013). Statistical Methods in Photogrammetry and Image-Lidar Fusion. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/92d798fm

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Holland, Kyle. “Statistical Methods in Photogrammetry and Image-Lidar Fusion.” 2013. Thesis, University of California – Berkeley. Accessed March 08, 2021. http://www.escholarship.org/uc/item/92d798fm.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Holland, Kyle. “Statistical Methods in Photogrammetry and Image-Lidar Fusion.” 2013. Web. 08 Mar 2021.

Vancouver:

Holland K. Statistical Methods in Photogrammetry and Image-Lidar Fusion. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2021 Mar 08]. Available from: http://www.escholarship.org/uc/item/92d798fm.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Holland K. Statistical Methods in Photogrammetry and Image-Lidar Fusion. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/92d798fm

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

15. Schoenberg, Jonathan. Data Fusion And Distributed Robotic Perception.

Degree: PhD, Aerospace Engineering, 2012, Cornell University

URL: http://hdl.handle.net/1813/29366

► This thesis explores data fusion and distributed robotic perception through a series of theoretical developments, analyses and experiments. First, a GSF with component extended Kalman… (more)

▼ This thesis explores data fusion and distributed robotic perception through a series of theoretical developments, analyses and experiments. First, a GSF with component extended Kalman filters (EKF) is proposed as an approach to localize an autonomous vehicle in an urban environment with limited GPS availability. The GSF is used because of its ability to represent the posterior distribution of the vehicle pose with better efficiency (fewer terms, less computational complexity) than a corresponding bootstrap particle filter with various numbers of particles due to the interaction with measurement hypothesis tests. A series of in-depth empirical studies are performed using 37 minutes of recorded data from Cornell University's autonomous vehicle driven in an urban environment, including a 32 minute GPS blackout. Second, a distributed grid-based terrain mapping algorithm using Gaussian Mixture Models is developed for use in tree connected and arbitrary connected sensor networks. The distributed data fusion rules are developed that operates directly on the sufficient statistics summarizing the grid-cell height and uncertainty. The distributed grid-based terrain mapping algorithms is demonstrated in an experimental environment involving 8 autonomous robots operating in an indoor environment for 120 seconds. Third, an algorithm to segment 3D points in dense range maps generated from the fusion of a single optical camera and a multiple emitter/detector laser range finder is presented. The algorithm is demonstrated on data collected with the Cornell University DARPA Urban Challenge vehicle. Finally, two information theoretic procedures for fusing multiple distributions with unknown correlation are developed. The first approach developed is Entropy Weighted Chernoff fusion; this fusion procedure biases the WEP fusion weight towards the distribution with the lowest entropy. An information loss for the WEP conservative fusion rule is introduced and an approximation derived by computing the Kullback-Leibler divergence between the Naive Bayes and WEP fused distributions. The approximation is minimized for the second fusion approach: Minimum-Information-Loss fusion; the procedure generates the least conservative fused distribution in the family of WEP results. Experimental results include the fusion of multiple occupancy grid maps over an optimally connected sensor network, demonstrating consistent map estimates. Advisors/Committee Members: Campbell, Mark (chair), Psiaki, Mark Lockwood (committee member), Koutsourelakis, Phaedon-Stelios (committee member), Kress Gazit, Hadas (committee member).

Subjects/Keywords: Distributed Data Fusion; Robotic Perception; Estimation

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Schoenberg, J. (2012). Data Fusion And Distributed Robotic Perception. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/29366

Chicago Manual of Style (16^th Edition):

Schoenberg, Jonathan. “Data Fusion And Distributed Robotic Perception.” 2012. Doctoral Dissertation, Cornell University. Accessed March 08, 2021. http://hdl.handle.net/1813/29366.

MLA Handbook (7^th Edition):

Schoenberg, Jonathan. “Data Fusion And Distributed Robotic Perception.” 2012. Web. 08 Mar 2021.

Vancouver:

Schoenberg J. Data Fusion And Distributed Robotic Perception. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1813/29366.

Council of Science Editors:

Schoenberg J. Data Fusion And Distributed Robotic Perception. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/29366

Penn State University

16. Morgan, Jacob. Data Fusion for Additive Manufacturing Process Inspection.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16433jpm5610

► In-situ monitoring of the powder bed fusion additive manufacturing (PBFAM) process is a rapidly expanding area of interest because it offers insight into process physics… (more)

Subjects/Keywords: data fusion; additive manufacturing; computer vision

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Morgan, J. (2019). Data Fusion for Additive Manufacturing Process Inspection. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16433jpm5610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Morgan, Jacob. “Data Fusion for Additive Manufacturing Process Inspection.” 2019. Thesis, Penn State University. Accessed March 08, 2021. https://submit-etda.libraries.psu.edu/catalog/16433jpm5610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Morgan, Jacob. “Data Fusion for Additive Manufacturing Process Inspection.” 2019. Web. 08 Mar 2021.

Vancouver:

Morgan J. Data Fusion for Additive Manufacturing Process Inspection. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Mar 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/16433jpm5610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Morgan J. Data Fusion for Additive Manufacturing Process Inspection. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16433jpm5610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Toronto

17. Bachmann, Christian. Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation.

Degree: 2011, University of Toronto

URL: http://hdl.handle.net/1807/30172

►

In this thesis, seven multi-sensor data fusion based estimation techniques are investigated. All methods are compared in terms of their ability to fuse data from… (more)

Subjects/Keywords: Data Fusion; Traffic Speed; Estimation; ITS; 0543

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bachmann, C. (2011). Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/30172

Chicago Manual of Style (16^th Edition):

Bachmann, Christian. “Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation.” 2011. Masters Thesis, University of Toronto. Accessed March 08, 2021. http://hdl.handle.net/1807/30172.

MLA Handbook (7^th Edition):

Bachmann, Christian. “Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation.” 2011. Web. 08 Mar 2021.

Vancouver:

Bachmann C. Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation. [Internet] [Masters thesis]. University of Toronto; 2011. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1807/30172.

Council of Science Editors:

Bachmann C. Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation. [Masters Thesis]. University of Toronto; 2011. Available from: http://hdl.handle.net/1807/30172

University of Waikato

18. Mungro, Meenakshee. Rating the Significance of Detected Network Events .

Degree: 2014, University of Waikato

URL: http://hdl.handle.net/10289/8808

► Existing anomaly detection systems do not reliably produce accurate severity ratings for detected network events, which results in network operators wasting a large amount of… (more)

Subjects/Keywords: Data fusion; Anomaly detection; Network latency

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mungro, M. (2014). Rating the Significance of Detected Network Events . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/8808

Chicago Manual of Style (16^th Edition):

Mungro, Meenakshee. “Rating the Significance of Detected Network Events .” 2014. Masters Thesis, University of Waikato. Accessed March 08, 2021. http://hdl.handle.net/10289/8808.

MLA Handbook (7^th Edition):

Mungro, Meenakshee. “Rating the Significance of Detected Network Events .” 2014. Web. 08 Mar 2021.

Vancouver:

Mungro M. Rating the Significance of Detected Network Events . [Internet] [Masters thesis]. University of Waikato; 2014. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10289/8808.

Council of Science Editors:

Mungro M. Rating the Significance of Detected Network Events . [Masters Thesis]. University of Waikato; 2014. Available from: http://hdl.handle.net/10289/8808

University of California – Berkeley

19. Proulx, Frank Roland. Bicyclist Exposure Estimation Using Heterogeneous Demand Data Sources.

Degree: Civil and Environmental Engineering, 2016, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/9sx6r5h1

► Quantifying risks and the effects of risk factors requires controlling for exposure,or the number of opportunities for the adverse outcome in question to occur. In… (more)

▼ Quantifying risks and the effects of risk factors requires controlling for exposure,or the number of opportunities for the adverse outcome in question to occur. In thecontext of traffic crashes, traffic volumes are frequently used as an exposure measure.Efforts to study bicyclist crash risk have historically been hindered by the lack ofwidespread exposure data. This study presents methods to estimate bicycle trafficvolumes across an entire urban network.The first major chapter of the dissertation presents a data schema for classifyingbicycle demand datasets. There is an ever-growing abundance of transportation data,with some of the fastest growth seen in realm of non-motorized demand. However,all of the available datasets provide incomplete information about the system. Forexample, some only represent a time series of observations at a single location inspace (automated counters), while others cover all space and time but only representa small subset of the population of people and trips (crowdsourced data). In orderto understand how these heterogeneous sources of information correspond to oneanother, it was deemed necessary to first identify their differences. Six metadatacharacteristics were defined, which are termed the population scope, trip aggregation,temporal scope, temporal resolution, spatial scale, and demographics. Levels aredefined for each dimension, and examples of generic datasets are discussed in termsof their metadata dimension.The second major chapter of the dissertation presents a method of fusing multiplelink-level demand estimates to infer peak-hour bicycle traffic volumes. Whilethe method is agnostic to the specific sources being used, it is presented with acase study of San Francisco, CA using data from regional travel demand models,a smartphone crowdsourcing application, and bikeshare system ridership. The defined process entails first converting the datasets to a common format in terms oftheir metadata dimensions, and then fitting these homogenized link-level estimatesto observed counts using a weighted regression technique modeled after GeographicallyWeighted Regression. The fitting parameters associated with each dataset arehypothesized to vary geospatially, and the means by which this variation occurs iscontrolled by the specified weighting scheme. A distance decay weighting, where observationsfurther from a given location contribute less to the parameter estimates, isfound to produce the best results. Cross-validation is employed for model comparisonand the selection of features and hyperparameter values. It is shown that, on thebasis of cross-validated Root-Mean Square Deviation, that fusing data sources providesgreater predictive accuracy than can be achieved using any individual source,and that utilizing localized regression is more predictive than using a single globalparameter for each data set.The final chapter is about inferring the temporal distribution of traffic based oncontinuous automated count data. Latent Dirichlet Allocation is applied as a signaldecomposition model to…

Subjects/Keywords: Transportation; Bicycle; Data Fusion; Traffic Volume

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Proulx, F. R. (2016). Bicyclist Exposure Estimation Using Heterogeneous Demand Data Sources. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/9sx6r5h1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Proulx, Frank Roland. “Bicyclist Exposure Estimation Using Heterogeneous Demand Data Sources.” 2016. Thesis, University of California – Berkeley. Accessed March 08, 2021. http://www.escholarship.org/uc/item/9sx6r5h1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Proulx, Frank Roland. “Bicyclist Exposure Estimation Using Heterogeneous Demand Data Sources.” 2016. Web. 08 Mar 2021.

Vancouver:

Proulx FR. Bicyclist Exposure Estimation Using Heterogeneous Demand Data Sources. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2021 Mar 08]. Available from: http://www.escholarship.org/uc/item/9sx6r5h1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Proulx FR. Bicyclist Exposure Estimation Using Heterogeneous Demand Data Sources. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/9sx6r5h1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. LIU XUAN. Data Fusion in Managing Crowdsourcing Data Analytics Systems.

Degree: 2013, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/48692

Subjects/Keywords: Data Fusion; Crowdsourcing

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

XUAN, L. (2013). Data Fusion in Managing Crowdsourcing Data Analytics Systems. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/48692

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

XUAN, LIU. “Data Fusion in Managing Crowdsourcing Data Analytics Systems.” 2013. Thesis, National University of Singapore. Accessed March 08, 2021. http://scholarbank.nus.edu.sg/handle/10635/48692.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

XUAN, LIU. “Data Fusion in Managing Crowdsourcing Data Analytics Systems.” 2013. Web. 08 Mar 2021.

Vancouver:

XUAN L. Data Fusion in Managing Crowdsourcing Data Analytics Systems. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2021 Mar 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/48692.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XUAN L. Data Fusion in Managing Crowdsourcing Data Analytics Systems. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/48692

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Melbourne

21. MENDIS, CHAMPAKE. Bio-inspired algorithms for data fusion in hazardous threat detection.

Degree: 2014, University of Melbourne

URL: http://hdl.handle.net/11343/44192

► Bio-inspired systems focus on the design, development and understanding of systems composed of algorithms that mimic the behaviours or processes of biological entities. In order… (more)

▼ Bio-inspired systems focus on the design, development and understanding of systems composed of algorithms that mimic the behaviours or processes of biological entities. In order to achieve a better abstraction, these bio-inspired algorithms can be constructed on a multi-agent platform which comprises multiple interaction between autonomous agents. These components are equipped with cognitive and processing abilities and have access to information extracted from the environment. In our endeavour to explore the viability of using bio-inspired algorithms in chemical, biological, radiological and nuclear environments, we carried out four research studies. First, we present a numerical verification of a simple population and physics-based epidemiological model for dynamic collaboration in a network of chemical sensors. The modelling approach is based on the known analogy between the information spread in a sensor network and the propagation of epidemics across a population. In this framework, we verify the derived analytical expressions, which relate the parameters to the network (e.g., number of sensors, their density, sensing time, etc.), with parameters of the external challenge (e.g., the chemical pollutant) and the environment (e.g., turbulence). Using numerical simulations of wireless sensor networks with random, line and circle topologies, we show that simulated and analytical results agree. Secondly, we apply the epidemiology based protocol to a wireless chemical sensor network in a chemical environment with spatial characteristics. The chemical tracers dispersed by turbulent motion in the environment display rather complex and even chaotic properties. Meanwhile, chemical tracer detecting sensors with air sampling o consume significant energy, hazardous chemical releases are rare events which will not require continuity in detection. If all sensors in a wireless chemical sensor network (WCSN) are left in the active state continuously, it would result in significant power consumption. Therefore, dynamic sensor activation is crucial for the longevity of WCSNs. Moreover, the statistical characteristics of chemical tracers to be detected (temporal and spatial correlations, etc.) and placement of chemical sensors can also become the key parameters that influence the WCSN design and performance. In this research study, we investigate the effect of the spatial correlation of a chemical tracer field, and also the effect of network topology, on the performance of a WCSN that employs an epidemiology-based dynamic sensor activation protocol. We present a simulation framework that comprises models of the spatially correlated tracer field, individual chemical sensor nodes, and the sensor network. After validating this simulation framework against an analytical model, we perform simulation experiments to evaluate the effect of spatial correlation and network topology on selected performance metrics: response time, level of sensor activation, and network scalability. Our simulations show that the spatial correlation of…

Subjects/Keywords: Epidemiological; Gossip; Genetic Algorith; CBRN, Data Fusion

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

MENDIS, C. (2014). Bio-inspired algorithms for data fusion in hazardous threat detection. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/44192

Chicago Manual of Style (16^th Edition):

MENDIS, CHAMPAKE. “Bio-inspired algorithms for data fusion in hazardous threat detection.” 2014. Doctoral Dissertation, University of Melbourne. Accessed March 08, 2021. http://hdl.handle.net/11343/44192.

MLA Handbook (7^th Edition):

MENDIS, CHAMPAKE. “Bio-inspired algorithms for data fusion in hazardous threat detection.” 2014. Web. 08 Mar 2021.

Vancouver:

MENDIS C. Bio-inspired algorithms for data fusion in hazardous threat detection. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/11343/44192.

Council of Science Editors:

MENDIS C. Bio-inspired algorithms for data fusion in hazardous threat detection. [Doctoral Dissertation]. University of Melbourne; 2014. Available from: http://hdl.handle.net/11343/44192

Georgia Tech

22. Liu, Kaibo. Data fusion for system modeling, performance assessment and improvement.

Degree: PhD, Industrial and Systems Engineering, 2013, Georgia Tech

URL: http://hdl.handle.net/1853/52937

► Due to rapid advancements in sensing and computation technology, multiple types of sensors have been embedded in various applications, on-line automatically collecting massive production information.… (more)

▼ Due to rapid advancements in sensing and computation technology, multiple types of sensors have been embedded in various applications, on-line automatically collecting massive production information. Although this data-rich environment provides great opportunity for more effective process control, it also raises new research challenges on data analysis and decision making due to the complex data structures, such as heterogeneous data dependency, and large-volume and high-dimensional characteristics. This thesis contributes to the area of System Informatics and Control (SIAC) to develop systematic data fusion methodologies for effective quality control and performance improvement in complex systems. These advanced methodologies enable (1) a better handling of the rich data environment communicated by complex engineering systems, (2) a closer monitoring of the system status, and (3) a more accurate forecasting of future trends and behaviors. The research bridges the gaps in methodologies among advanced statistics, engineering domain knowledge and operation research. It also forms close linkage to various application areas such as manufacturing, health care, energy and service systems. This thesis started from investigating the optimal sensor system design and conducting multiple sensor data fusion analysis for process monitoring and diagnosis in different applications. In Chapter 2, we first studied the couplings or interactions between the optimal design of a sensor system in a Bayesian Network and quality management of a manufacturing system, which can improve cost-effectiveness and production yield by considering sensor cost, process change detection speed, and fault diagnosis accuracy in an integrated manner. An algorithm named “Best Allocation Subsets by Intelligent Search” (BASIS) with optimality proof is developed to obtain the optimal sensor allocation design at minimum cost under different user specified detection requirements. Chapter 3 extended this line of research by proposing a novel adaptive sensor allocation framework, which can greatly improve the monitoring and diagnosis capabilities of the previous method. A max-min criterion is developed to manage sensor reallocation and process change detection in an integrated manner. The methodology was tested and validated based on a hot forming process and a cap alignment process. Next in Chapter 4, we proposed a Scalable-Robust-Efficient Adaptive (SERA) sensor allocation strategy for online high-dimensional process monitoring in a general network. A monitoring scheme of using the sum of top-r local detection statistics is developed, which is scalable, effective and robust in detecting a wide range of possible shifts in all directions. This research provides a generic guideline for practitioners on determining (1) the appropriate sensor layout; (2) the “ON” and “OFF” states of different sensors; and (3) which part of the acquired data should be transmitted to and analyzed at the fusion center, when only limited resources are available. To improve the… Advisors/Committee Members: Shi, Jianjun (advisor), Gebraeel, Nagi (committee member), Mei, Yajun (committee member), Kvam, Paul (committee member), Li, Jing (committee member).

Subjects/Keywords: Data fusion; Multiple Sensors; Sensor allocation; Prognostics

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, K. (2013). Data fusion for system modeling, performance assessment and improvement. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52937

Chicago Manual of Style (16^th Edition):

Liu, Kaibo. “Data fusion for system modeling, performance assessment and improvement.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 08, 2021. http://hdl.handle.net/1853/52937.

MLA Handbook (7^th Edition):

Liu, Kaibo. “Data fusion for system modeling, performance assessment and improvement.” 2013. Web. 08 Mar 2021.

Vancouver:

Liu K. Data fusion for system modeling, performance assessment and improvement. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1853/52937.

Council of Science Editors:

Liu K. Data fusion for system modeling, performance assessment and improvement. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52937

University of Newcastle

23. Alqhtani, Samar. Multiple kernel fusion for event detection from multimedia data in Twitter.

Degree: PhD, 2017, University of Newcastle

URL: http://hdl.handle.net/1959.13/1354671

►

Research Doctorate - Doctor of Philosophy (PhD)

Social media is an active space for sharing text and image content about all kinds of events. In… (more)

▼

Research Doctorate - Doctor of Philosophy (PhD)

Social media is an active space for sharing text and image content about all kinds of events. In particular, Twitter is a platform for instant sharing of information about current events, both planned and unplanned. Twitter provides a large dynamic stream of data on emerging events, such as natural disasters or emergencies. Much of the previous work to analyse Twitter feeds for data containing natural disasters has focused on the text of tweets. A system is proposed in this study for detecting such events using tweets by analysing both their text and images. In this thesis, a system for detecting ‘hot’ events, specifically disasters like earthquakes, bushfires, and wildfires, is proposed. The system uses visual information as well as textual information to improve the performance of detection. It starts with monitoring a Twitter stream to pick up tweets having texts and images, and storing them in a database. After that, Twitter data is pre-processed to eliminate unwanted data and transform unstructured data into structured data. For the feature extraction and representation step, features in both texts and images are extracted to apply a mining tool for event detection. For feature extraction from the text, the bag of words (BoW) method, calculated using the term frequency–inverse document frequency (TF–IDF) technique, is used. For images, the features extracted are: histogram of oriented gradients (HOG) descriptors for object detection, grey-level co-occurrence matrix (GLCM) for texture description, color histogram, and scale-invariant features transform (SIFT). Furthermore, depending on the data, the visual features extraction method changes. Each image is represented as a “bag of visual words”. After that, text features and image features are input to the multiple kernel learning (MKL) for fusion. MKL can automatically combine both feature types in order to achieve the best performance. The proposed system – which includes data collection from Twitter, data pre-processing, feature extraction and representation, data fusion, and event detection – is tested on four data sets from four events. The test events used in this thesis are: Napa earthquake 2014, Washington wildfires 2015, California wildfires 2015, and Illapel earthquake 2015. The method is compared in two ways: the first comparison is with text only or images only. The other comparison method includes three different types of fusion: concatenation fusion, Dempster–Shafer fusion, or kernel-based fusion with sub-gradient descent (SD) optimization. In the Napa earthquake data, for the first comparison, the proposed method achieved the best performance, with a fusion accuracy of 0.95, compared to 0.89 with text only, and 0.87 with images only. For the second comparison, the systems with different fusions achieved 0.92 accuracy with concatenation fusion, 0.91 for Dempster–Shafer fusion, and 0.91 for kernel-based fusion with sub-gradient descent (SD) optimization. The proposed system has demonstrated that event…

Advisors/Committee Members: University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computing.

Subjects/Keywords: event detection; multimedia data; data mining; machine learning; data fusion; Twitter

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Alqhtani, S. (2017). Multiple kernel fusion for event detection from multimedia data in Twitter. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1354671

Chicago Manual of Style (16^th Edition):

Alqhtani, Samar. “Multiple kernel fusion for event detection from multimedia data in Twitter.” 2017. Doctoral Dissertation, University of Newcastle. Accessed March 08, 2021. http://hdl.handle.net/1959.13/1354671.

MLA Handbook (7^th Edition):

Alqhtani, Samar. “Multiple kernel fusion for event detection from multimedia data in Twitter.” 2017. Web. 08 Mar 2021.

Vancouver:

Alqhtani S. Multiple kernel fusion for event detection from multimedia data in Twitter. [Internet] [Doctoral dissertation]. University of Newcastle; 2017. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1959.13/1354671.

Council of Science Editors:

Alqhtani S. Multiple kernel fusion for event detection from multimedia data in Twitter. [Doctoral Dissertation]. University of Newcastle; 2017. Available from: http://hdl.handle.net/1959.13/1354671

University of Toronto

24. Zhu, Sirui. Integration of Commercial Vehicle GPS and Roadside Intercept Survey Data.

Degree: 2017, University of Toronto

URL: http://hdl.handle.net/1807/79465

►

Technologies such as smart phone and GPS give collect spatial-temporal data with sample sizes that far exceed conventional survey methods, but lack the flexibility that… (more)

Subjects/Keywords: Commercial Vehicle Survey; Data fusion; Data integration; Freight data; GPS; 0709

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhu, S. (2017). Integration of Commercial Vehicle GPS and Roadside Intercept Survey Data. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79465

Chicago Manual of Style (16^th Edition):

Zhu, Sirui. “Integration of Commercial Vehicle GPS and Roadside Intercept Survey Data.” 2017. Masters Thesis, University of Toronto. Accessed March 08, 2021. http://hdl.handle.net/1807/79465.

MLA Handbook (7^th Edition):

Zhu, Sirui. “Integration of Commercial Vehicle GPS and Roadside Intercept Survey Data.” 2017. Web. 08 Mar 2021.

Vancouver:

Zhu S. Integration of Commercial Vehicle GPS and Roadside Intercept Survey Data. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1807/79465.

Council of Science Editors:

Zhu S. Integration of Commercial Vehicle GPS and Roadside Intercept Survey Data. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79465

Hong Kong University of Science and Technology

25. Zhang, Ke IEDA. Data fusion methods for modeling and monitoring in complex systems.

Degree: 2018, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-95999 ; https://doi.org/10.14711/thesis-991012637664603412 ; http://repository.ust.hk/ir/bitstream/1783.1-95999/1/th_redirect.html

► Recent advances in measurement and sensing technology have generated data-rich environments in many industrial and service applications with complex systems, which has led to an… (more)

Subjects/Keywords: Multisensor data fusion ; Data processing ; Statistical matching ; Data sets ; Mathematical models

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhang, K. I. (2018). Data fusion methods for modeling and monitoring in complex systems. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-95999 ; https://doi.org/10.14711/thesis-991012637664603412 ; http://repository.ust.hk/ir/bitstream/1783.1-95999/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zhang, Ke IEDA. “Data fusion methods for modeling and monitoring in complex systems.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed March 08, 2021. http://repository.ust.hk/ir/Record/1783.1-95999 ; https://doi.org/10.14711/thesis-991012637664603412 ; http://repository.ust.hk/ir/bitstream/1783.1-95999/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zhang, Ke IEDA. “Data fusion methods for modeling and monitoring in complex systems.” 2018. Web. 08 Mar 2021.

Vancouver:

Zhang KI. Data fusion methods for modeling and monitoring in complex systems. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2021 Mar 08]. Available from: http://repository.ust.hk/ir/Record/1783.1-95999 ; https://doi.org/10.14711/thesis-991012637664603412 ; http://repository.ust.hk/ir/bitstream/1783.1-95999/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang KI. Data fusion methods for modeling and monitoring in complex systems. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-95999 ; https://doi.org/10.14711/thesis-991012637664603412 ; http://repository.ust.hk/ir/bitstream/1783.1-95999/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Colorado State University

26. Mitra, Saptashwa. Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets.

Degree: MS(M.S.), Computer Science, 2018, Colorado State University

URL: http://hdl.handle.net/10217/191379

► Combining data from disparate sources enhances the opportunity to explore different aspects of the phenomena under consideration. However, there are several challenges in doing so… (more)

Subjects/Keywords: data integration; real time queries; vector data; raster data; data fusion; spatiotemporal

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mitra, S. (2018). Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/191379

Chicago Manual of Style (16^th Edition):

Mitra, Saptashwa. “Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets.” 2018. Masters Thesis, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/191379.

MLA Handbook (7^th Edition):

Mitra, Saptashwa. “Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets.” 2018. Web. 08 Mar 2021.

Vancouver:

Mitra S. Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets. [Internet] [Masters thesis]. Colorado State University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/191379.

Council of Science Editors:

Mitra S. Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets. [Masters Thesis]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191379

University of Illinois – Urbana-Champaign

27. Zhao, Bo. Truth finding in databases.

Degree: PhD, 0112, 2013, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/42470

► In practical data integration systems, it is common for the data sources being integrated to provide conflicting information about the same entity. Consequently, a major… (more)

▼ In practical data integration systems, it is common for the data sources being integrated to provide conflicting information about the same entity. Consequently, a major challenge for data integration is to derive the most complete and accurate integrated records from diverse and sometimes conflicting sources. We term this challenge the truth finding problem. We observe that some sources are generally more reliable than others, and therefore a good model of source quality is the key to solving the truth finding problem. In this thesis, we propose probabilistic models that can automatically infer true records and source quality without any supervision on both categorical data and numerical data. We further develop a new entity matching framework that considers source quality based on truth-finding models. On categorical data, in contrast to previous methods, our principled approach leverages a generative process of two types of errors (false positive and false negative) by modeling two different aspects of source quality. In so doing, ours is also the first approach designed to merge multi-valued attribute types. Our method is scalable, due to an efficient sampling-based inference algorithm that needs very few iterations in practice and enjoys linear time complexity, with an even faster incremental variant. Experiments on two real world datasets show that our new method outperforms existing state-of-the-art approaches to the truth finding problem on categorical data. While in practice, numerical data is not only ubiquitous but also of high value, e.g. price, weather, census, polls and economic statistics. Quality issues on numerical data can also be even more common and severe than categorical data due to its characteristics. Therefore, in this thesis we propose a new truth-finding method specially designed for handling numerical data. Based on Bayesian probabilistic models, our method can leverage the characteristics of numerical data in a principled way, when modeling the dependencies among source quality, truth, and claimed values. Experiments on two real world datasets show that our new method outperforms existing state-of-the-art approaches in both effectiveness and efficiency. We further observe that modeling source quality not only can help decide the truth but also can help match entities across different sources. Therefore, as a natural next step, we integrate truth finding with entity matching so that we could infer matching of entities, true attributes of entities and source quality in a joint fashion. This is the first entity matching approach that involves modeling source quality and truth finding. Experiments show that our approach can outperform state-of-the-art baselines. Advisors/Committee Members: Han, Jiawei (advisor), Han, Jiawei (Committee Chair), Zhai, ChengXiang (committee member), Roth, Dan (committee member), Yu, Philip S. (committee member).

Subjects/Keywords: data integration; truth finding; data fusion; data quality; entity matching; data mining; probabilistic graphical models

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhao, B. (2013). Truth finding in databases. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42470

Chicago Manual of Style (16^th Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 08, 2021. http://hdl.handle.net/2142/42470.

MLA Handbook (7^th Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Web. 08 Mar 2021.

Vancouver:

Zhao B. Truth finding in databases. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/2142/42470.

Council of Science Editors:

Zhao B. Truth finding in databases. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42470

KTH

28. Harch, Gais. Automatiserad matchning av relaterad data från olika datakällor.

Degree: Computer and Electronic Engineering, 2014, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146329

►

Sociala medier innehåller idag massor av information som kan bidra till att ge applikationer och produkter ett stort mervärde genom att ge en förbättrad… (more)

▼

Sociala medier innehåller idag massor av information som kan bidra till att ge applikationer och produkter ett stort mervärde genom att ge en förbättrad användarupplevelse. I vissa fall kan sådan information inte erhållas utan att först matcha data från en eller flera datakällor genom en data fusion. Eniro Initiatives AB vill undersöka möjligheter för att genomföra en automatiserad data fusion genom att koppla företag från sitt API till motsvarande företag på sociala medier. Problematiken ligger i att den enda helt säkra källan till matchning av alla svenska företag är dess organisationsnummer, vilket är data som inte finns tillgänglig hos API:er från utländska företag. Syftet var att undersöka möjligheter för att på automatiserat sätt kunna matcha relaterad data från olika datakällor. I detta examensarbete har en prototyp utvecklats som matchar företag från Eniros API med företags sidor från Facebooks API. Resultatet från tester av denna prototyp visar dock brister, då det uppkom fall där redundant information bidrog till att prototypen kunde godkänna inofficiella sidor med koppling till det relevanta företaget, vilket inte var önskvärt.

Social media today contains a lot of information that can add a great value for applications and products by achieve an improved user experience. In some cases, such information cannot be obtained without matching data from one or several data sources through a data fusion. Eniro Initiatives AB wants to explore opportunities to implement an automated data fusion model by matching companies from its own API to the corresponding company on social media. The problem is that the only completely secured data of matching of all Swedish companies is its corporate identity, which is data that is not available with APIs that origin from foreign companies. The aim was to explore possibilities for the automated way to match related data from different data sources. In this thesis, a prototype was developed to match companies from Eniro’s API with company pages from Facebook's API. The results from the tests of this prototype shows small deficiencies where redundant information made the prototype able to approve unofficial pages with links to the relevant company, which was not desirable.

Subjects/Keywords: data fusion; text recognition; text matching; company data; data fusion; text recognition; textmatchning; företagsdata; Computer Engineering; Datorteknik

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Harch, G. (2014). Automatiserad matchning av relaterad data från olika datakällor. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146329

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Harch, Gais. “Automatiserad matchning av relaterad data från olika datakällor.” 2014. Thesis, KTH. Accessed March 08, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146329.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Harch, Gais. “Automatiserad matchning av relaterad data från olika datakällor.” 2014. Web. 08 Mar 2021.

Vancouver:

Harch G. Automatiserad matchning av relaterad data från olika datakällor. [Internet] [Thesis]. KTH; 2014. [cited 2021 Mar 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146329.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Harch G. Automatiserad matchning av relaterad data från olika datakällor. [Thesis]. KTH; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146329

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

29. Chen, Yunfan CSE. A crowdsourced probabilistic approach on data fusion refinement.

Degree: 2017, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-88948 ; https://doi.org/10.14711/thesis-991012530569703412 ; http://repository.ust.hk/ir/bitstream/1783.1-88948/1/th_redirect.html

► Data fusion has played an important role in data mining because high quality data is required in a lot of applications. As on-line data may… (more)

Subjects/Keywords: Human computation ; Mathematical models ; Multisensor data fusion ; Data mining

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, Y. C. (2017). A crowdsourced probabilistic approach on data fusion refinement. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-88948 ; https://doi.org/10.14711/thesis-991012530569703412 ; http://repository.ust.hk/ir/bitstream/1783.1-88948/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Yunfan CSE. “A crowdsourced probabilistic approach on data fusion refinement.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed March 08, 2021. http://repository.ust.hk/ir/Record/1783.1-88948 ; https://doi.org/10.14711/thesis-991012530569703412 ; http://repository.ust.hk/ir/bitstream/1783.1-88948/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Yunfan CSE. “A crowdsourced probabilistic approach on data fusion refinement.” 2017. Web. 08 Mar 2021.

Vancouver:

Chen YC. A crowdsourced probabilistic approach on data fusion refinement. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2021 Mar 08]. Available from: http://repository.ust.hk/ir/Record/1783.1-88948 ; https://doi.org/10.14711/thesis-991012530569703412 ; http://repository.ust.hk/ir/bitstream/1783.1-88948/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen YC. A crowdsourced probabilistic approach on data fusion refinement. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-88948 ; https://doi.org/10.14711/thesis-991012530569703412 ; http://repository.ust.hk/ir/bitstream/1783.1-88948/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

30. Peng, Yang. Multimodal Fusion a Theory and Applications.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

URL: https://ufdc.ufl.edu/UFE0051801

► As data grows larger and larger nowadays, Big Data and Data Science are becoming more and more prominent in Computer Science. In Data Science, not… (more)

Subjects/Keywords: big-data – data-science – multimodal-fusion – query-driven – scalability

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Peng, Y. (2017). Multimodal Fusion a Theory and Applications. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0051801

Chicago Manual of Style (16^th Edition):

Peng, Yang. “Multimodal Fusion a Theory and Applications.” 2017. Doctoral Dissertation, University of Florida. Accessed March 08, 2021. https://ufdc.ufl.edu/UFE0051801.

MLA Handbook (7^th Edition):

Peng, Yang. “Multimodal Fusion a Theory and Applications.” 2017. Web. 08 Mar 2021.

Vancouver:

Peng Y. Multimodal Fusion a Theory and Applications. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2021 Mar 08]. Available from: https://ufdc.ufl.edu/UFE0051801.

Council of Science Editors:

Peng Y. Multimodal Fusion a Theory and Applications. [Doctoral Dissertation]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0051801

Open Access Theses and Dissertations