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NSYSU
1.
Chen, Wei-Ju.
The Influence of Virtual Community on Marketing Mix.
Degree: Master, Business Management, 2015, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0706115-212751 
► According to the rise of WEB 2.0, it made different regionsâ people who have the same demand or interest to form a common group, jointed…
(more)
▼ According to the rise of WEB 2.0, it made different regionsâ people who have the same demand or interest to form a common group, jointed issued content and established a community environment. A wide range of communities were mushroomed, and thus gradually change and develop new ways of marketing.
The traditional Marketing Mix tool has been unable to meet today's marketing staffsâ needs. There were many new terms appearance, such as âcrowdsourcingâ, âuser-generated content (UCG)â and so on. New types of communities manufacturing platform released, driven a wave of community members involved in co-creation product. Not only shorten the distance between the manufacturer and the end consumer, but also closer the product features to market demand; Brands have created their own community to enhance the existing customersâ loyalty and attract the potential customers. And more and more companies use social media to maintain brand reputation.
This study expected to sort out the various community cases. Understand the virtual community, the situation of the use of community, and the community's role and its function in the
network platform. To find out the value creation of many classic manufacturers who using community successfully. Analysis and comparison of various manufacturers use community orientation and summarized its key success factors. In order to help people who want to deliver new business or existing brands business use the community as the marketing based reference, and propose related research recommendations.
Advisors/Committee Members: Hao-Chieh Lin (chair), Chi-Cheng Wu (committee member), San-Yih Hwang (chair), Chien-Yuan Sher (chair).
Subjects/Keywords: Crowdsourcing; UGC; Marketing Mix; Virtual Community; Network externality
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APA (6th Edition):
Chen, W. (2015). The Influence of Virtual Community on Marketing Mix. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0706115-212751
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Chen, Wei-Ju. “The Influence of Virtual Community on Marketing Mix.” 2015. Thesis, NSYSU. Accessed January 25, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0706115-212751.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chen, Wei-Ju. “The Influence of Virtual Community on Marketing Mix.” 2015. Web. 25 Jan 2021.
Vancouver:
Chen W. The Influence of Virtual Community on Marketing Mix. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Jan 25].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0706115-212751.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chen W. The Influence of Virtual Community on Marketing Mix. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0706115-212751
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Penn State University
2.
Qiu, Junpeng.
PersonFinder: Locating People Through On-Demand Crowdsourcing.
Degree: 2018, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/14819juq116
► On-demand crowdsourcing takes advantage of the ubiquity of mobile devices equipped with high resolution cameras to collect photos on demand from various geographical areas. One…
(more)
▼ On-demand
crowdsourcing takes advantage of the ubiquity of mobile devices equipped with high resolution cameras to collect photos on demand from various geographical areas. One promising application is to help search for people in real time. Unlike traditional surveillance cameras, on-demand
crowdsourcing allows
crowdsourcing photos from anywhere, since mobile users are available everywhere, and hence it can improve the effectiveness of finding the target person. In this thesis, we present PersonFinder, an on-demand
crowdsourcing system that enables users to search for the target person anytime and anywhere, and retrieve the results in real time. When a task is generated to search for a person, PersonFinder selects some workers to perform the task from a large number of candidate workers. Then workers use their mobile device to capture photos which are further processed to detect and recognize the target. Finally, the requester receives photos which include the target. We address two key challenges in PersonFinder. First, many candidate workers can be selected to participate in the task, but selecting all of them will significantly increase the cost. To address this challenge, we formulate the worker selection problem as selecting a subset of workers to maximize the probability of finding the target under some budget constraints. We prove its NP-hardness, and propose a heuristic based solution. Second, many photos taken by the workers may not have good quality or may not contain the target person. Transmitting such photos to the server still consumes battery power. To save energy, we design image processing techniques and only transmit images that contain the target person. We also design algorithms to determine whether the image processing will be done locally or offloaded to the server. A real-world demo and extensive evaluations validate the effectiveness of PersonFinder.
Advisors/Committee Members: Guohong Cao, Thesis Advisor/Co-Advisor.
Subjects/Keywords: on-demand crowdsourcing; image processing; offloading; privacy; wireless network
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APA (6th Edition):
Qiu, J. (2018). PersonFinder: Locating People Through On-Demand Crowdsourcing. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14819juq116
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Qiu, Junpeng. “PersonFinder: Locating People Through On-Demand Crowdsourcing.” 2018. Thesis, Penn State University. Accessed January 25, 2021.
https://submit-etda.libraries.psu.edu/catalog/14819juq116.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Qiu, Junpeng. “PersonFinder: Locating People Through On-Demand Crowdsourcing.” 2018. Web. 25 Jan 2021.
Vancouver:
Qiu J. PersonFinder: Locating People Through On-Demand Crowdsourcing. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Jan 25].
Available from: https://submit-etda.libraries.psu.edu/catalog/14819juq116.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Qiu J. PersonFinder: Locating People Through On-Demand Crowdsourcing. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/14819juq116
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Houston
3.
Zhang, Yanru.
Contract Theory Framework for Wireless Networking.
Degree: PhD, Electrical Engineering, 2016, University of Houston
URL: http://hdl.handle.net/10657/3280
► With the rapid development of the modern communication networks, the problem we need to solve is no longer a pure engineering issue. In various heterogeneous…
(more)
▼ With the rapid development of the modern communication networks, the problem we need to solve is no longer a pure engineering issue. In various heterogeneous
network scenarios, there are service providers in need of performing economic analysis on how to ensure third parties' cooperation or attract end-users. In the other way round, third parties or end-users need to evaluate the economic benefits of cooperating or using the services from different service providers. Overall, the current wireless networks are facing a problem in which there is a tight coupling of industry-specific technologies and non-technology related
network externality.
Contract theory, the 2014 Nobel Prize of economic science, has been widely used in industries, from banking to telecommunications. Particularly, contract theory is an efficient tool in dealing with asymmetric information between employer/seller(s) and employee/buyer(s) by introducing cooperation. In wireless networks, the employer/seller(s) and employee/buyer(s) can be of different roles depending on the scenario under consideration. Thus, there is a great potential to utilize the ideas, methods, and models of contract theory to design efficient wireless
network mechanisms.
Given this background, this dissertation provides a theoretical research between wireless communications, networking, and economics. Especially, different contract theory models have been applied in various wireless networks scenarios. The main contribution of this dissertation are as follows.
An overview of basic concepts, classifications, and models of contract theory is provided. Furthermore, comparisons with existing economics methods in wireless networks are conducted.
Applications of contract theory for wireless networks are studied. Specially, three contract theory problems: adverse selection, moral hazard, and a mixed of the two, are applied into device-to-device (D2D) communication, mobile
crowdsourcing, cognitive radio
network, respectively.
Numerical results are provided to show that contract theory can be utilized for developing effective mechanisms for emerging wireless
network scenarios such as traffic offloading, mobile
crowdsourcing, as well as spectrum trading.
The potential and challenges of contract theory as a tool for designing mechanisms in future wireless networks are discussed.
This dissertation provides a theoretical research between wireless communications, networking, and economics, in which different contract theory models have been applied in various wireless networks scenarios. This work places a fundamental research on
network economics, especially with the framework of contract theory. This research has the potential to contribute to the future of wireless networks
network economics area, and have a long term effect on problems such as incentive mechanism and pricing schemes design, resource sharing and trading.
Advisors/Committee Members: Han, Zhu (advisor), Ogmen, Haluk (committee member), Prasad, Saurabh (committee member), Pan, Miao (committee member), Xiong, Zixiang (committee member), Qian, Lijun (committee member).
Subjects/Keywords: Contract theory; D2D communication; Mobile crowdsourcing; Cognitive radio network
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APA (6th Edition):
Zhang, Y. (2016). Contract Theory Framework for Wireless Networking. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/3280
Chicago Manual of Style (16th Edition):
Zhang, Yanru. “Contract Theory Framework for Wireless Networking.” 2016. Doctoral Dissertation, University of Houston. Accessed January 25, 2021.
http://hdl.handle.net/10657/3280.
MLA Handbook (7th Edition):
Zhang, Yanru. “Contract Theory Framework for Wireless Networking.” 2016. Web. 25 Jan 2021.
Vancouver:
Zhang Y. Contract Theory Framework for Wireless Networking. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/10657/3280.
Council of Science Editors:
Zhang Y. Contract Theory Framework for Wireless Networking. [Doctoral Dissertation]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3280
Delft University of Technology
4.
Choiri, Hendra Hadhil (author).
Quantifying and Predicting Urban Attractiveness with Street-View Data and Convolutional Neural Networks.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:b7508d73-a76e-4503-b7ef-784fb4d713d9
► Analysing attractiveness of places in a region is beneficial to support urban planning and policy making. However, the attractiveness of a place is a subjective…
(more)
▼ Analysing attractiveness of places in a region is beneficial to support urban planning and policy making. However, the attractiveness of a place is a subjective and high-level concept which is difficult to quantify. The existing methods rely on traditional surveys which may require high cost and have low scalability. This thesis attempts to quantify attractiveness of a place in a more efficient way and develop a model which can automatically predict attractiveness based on Street-View data (i.e. from Google Street View). As a study case, 800 Google Street View images from 200 locations in Amsterdam have been extracted, and their attractiveness perceptions have been evaluated via crowd-sourcing to get the ground-truth information. The other attributes which are presumed to have a relationship with attractiveness are also assessed, such as familiarity, uniqueness, friendliness, pleasure, arousal, and dominance. The research and analysis revealed several insights related to the attractiveness of places. Attractive perception when seeing a place is positively correlated with perception of uniqueness, friendliness, pleasure, and dominance. Moreover, pleasure is possibly multi-collinear with attractiveness. It was also found that attractiveness perception has low spatial auto-correlation, which means that nearby places do not necessarily have similar attractiveness. Some visual features related to attractiveness were also investigated. The result indicated that scenes related to roads and residential buildings are less attractive, meanwhile, scenes related to greenery, blue sky, and water environment are more attractive. A Convolutional Neural
Network (CNN) model has been developed via machine learning approach which could automatically predict attractiveness perception of a place based on its representing Google Street View image. The developed model achieved 55.9% accuracy and RMSE of 0.70 to predict attractiveness in 5 ordinal values.
Advisors/Committee Members: Bozzon, Alessandro (mentor), Psyllidis, Achilleas (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Urban Attractiveness; Crowdsourcing; Machine Learning; Street-View; Convolutional Neural Network
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APA (6th Edition):
Choiri, H. H. (. (2017). Quantifying and Predicting Urban Attractiveness with Street-View Data and Convolutional Neural Networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b7508d73-a76e-4503-b7ef-784fb4d713d9
Chicago Manual of Style (16th Edition):
Choiri, Hendra Hadhil (author). “Quantifying and Predicting Urban Attractiveness with Street-View Data and Convolutional Neural Networks.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021.
http://resolver.tudelft.nl/uuid:b7508d73-a76e-4503-b7ef-784fb4d713d9.
MLA Handbook (7th Edition):
Choiri, Hendra Hadhil (author). “Quantifying and Predicting Urban Attractiveness with Street-View Data and Convolutional Neural Networks.” 2017. Web. 25 Jan 2021.
Vancouver:
Choiri HH(. Quantifying and Predicting Urban Attractiveness with Street-View Data and Convolutional Neural Networks. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25].
Available from: http://resolver.tudelft.nl/uuid:b7508d73-a76e-4503-b7ef-784fb4d713d9.
Council of Science Editors:
Choiri HH(. Quantifying and Predicting Urban Attractiveness with Street-View Data and Convolutional Neural Networks. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:b7508d73-a76e-4503-b7ef-784fb4d713d9
Clemson University
5.
Taylor, Geoffrey.
FINDING MULTI-CENTERS: USING CROWD-SOURCING TECHNOLOGIES TO DEFINE COMMUNITIES OF LANDSCAPE ARCHITECTURE.
Degree: MLA, Landscape Architecture, 2012, Clemson University
URL: https://tigerprints.clemson.edu/all_theses/1319
► This paper presents findings from website-based analytics identifying social and geographic topic hotspots within the fields of architecture, landscape architecture, and urban design. Three crowd-sourced…
(more)
▼ This paper presents findings from website-based analytics identifying social and geographic topic hotspots within the fields of architecture, landscape architecture, and urban design. Three crowd-sourced surveys are utilized to record thousands of user's topic interests and pinpoint locations on a global scale. Topics include projects, research, visualization, sustainability, and competitions within architecture, landscape architecture, and urban design. The surveys also identify user locations, topics of interest, day and time of contact, social sharing, and user demographics. The goal of the research is to understand the online social structure and responses of groups involved with developing the built environment. These professionals influence future development on a global scale. Findings from the crowd-sourced surveys suggest that: * The social process of making meanings through social media knowledge exchange facilitates multi-centered geospatial social groupings according to topical interests. * Similar social groups topical interests vary by geo-location suggesting place- based meaning formation * Traditional groups of planners, architects, and landscape architects share degrees of common topical interests related to competitions, projects, and research topics. The paper also provides a series of case studies showing the possibilities of social
network analysis for landscape architecture, planning, urban design, and architecture.
Advisors/Committee Members: Hewitt, Robert, Green , Keith, Powers , Matthew.
Subjects/Keywords: crowdsourcing; datamining; gis; network analysis; social networks; twitter; Geographic Information Sciences
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APA (6th Edition):
Taylor, G. (2012). FINDING MULTI-CENTERS: USING CROWD-SOURCING TECHNOLOGIES TO DEFINE COMMUNITIES OF LANDSCAPE ARCHITECTURE. (Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1319
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Taylor, Geoffrey. “FINDING MULTI-CENTERS: USING CROWD-SOURCING TECHNOLOGIES TO DEFINE COMMUNITIES OF LANDSCAPE ARCHITECTURE.” 2012. Thesis, Clemson University. Accessed January 25, 2021.
https://tigerprints.clemson.edu/all_theses/1319.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Taylor, Geoffrey. “FINDING MULTI-CENTERS: USING CROWD-SOURCING TECHNOLOGIES TO DEFINE COMMUNITIES OF LANDSCAPE ARCHITECTURE.” 2012. Web. 25 Jan 2021.
Vancouver:
Taylor G. FINDING MULTI-CENTERS: USING CROWD-SOURCING TECHNOLOGIES TO DEFINE COMMUNITIES OF LANDSCAPE ARCHITECTURE. [Internet] [Thesis]. Clemson University; 2012. [cited 2021 Jan 25].
Available from: https://tigerprints.clemson.edu/all_theses/1319.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Taylor G. FINDING MULTI-CENTERS: USING CROWD-SOURCING TECHNOLOGIES TO DEFINE COMMUNITIES OF LANDSCAPE ARCHITECTURE. [Thesis]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_theses/1319
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
6.
Cousot, Kévin.
Inférences et explications dans les réseaux lexico-sémantiques : Inference in lexico-semantic network built by crowdsourcing.
Degree: Docteur es, Informatique, 2019, Montpellier
URL: http://www.theses.fr/2019MONTS108
► Grâce à la démocratisation des nouvelles technologies de communications nous disposons d'une quantité croissante de ressources textuelles, faisant du Traitement Automatique du Langage Naturel (TALN)…
(more)
▼ Grâce à la démocratisation des nouvelles technologies de communications nous disposons d'une quantité croissante de ressources textuelles, faisant du Traitement Automatique du Langage Naturel (TALN) une discipline d'importance cruciale tant scientifiquement qu'industriellement. Aisément disponibles, ces données offrent des opportunités sans précédent et, de l'analyse d'opinion à la recherche d'information en passant par l’analyse sémantique de textes les applications sont nombreuses.On ne peut cependant aisément tirer parti de ces données textuelles dans leur état brut et, en vue de mener à bien de telles tâches il semble indispensable de posséder des ressources décrivant les connaissances sémantiques, notamment sous la forme de réseaux lexico-sémantiques comme par exemple celui du projet JeuxDeMots. La constitution et la maintenance de telles ressources restent cependant des opérations difficiles, de part leur grande taille mais aussi à cause des problèmes de polysémie et d’identification sémantique. De plus, leur utilisation peut se révéler délicate car une part significative de l'information nécessaire n'est pas directement accessible dans la ressource mais doit être inférée à partir des données du réseau lexico-sémantique.Nos travaux cherchent à démontrer que les réseaux lexico-sémantiques sont, de par leur nature connexionniste, bien plus qu'une collection de faits bruts et que des structures plus complexes telles que les chemins d’interprétation contiennent davantage d'informations et permettent d'accomplir de multiples opérations d'inférences. En particulier, nous montrerons comment utiliser une base de connaissance pour fournir des explications à des faits de haut niveau. Ces explications permettant a minima de valider et de mémoriser de nouvelles informations.Ce faisant, nous pouvons évaluer la couverture et la pertinence des données de la base ainsi que la consolider. De même, la recherche de chemins se révèle utile pour des problèmes de classification et de désambiguïsation, car ils sont autant de justifications des résultats calculés.Dans le cadre de la reconnaissance d'entité nommées, ils permettent aussi bien de typer les entités et de les désambiguïser (l'occurrence du terme Paris est-il une référence à la ville, et laquelle, ou à une starlette ?) en mettant en évidence la densité des connexions entre les entités ambiguës, leur contexte et leur type éventuel.Enfin nous proposons de tourner à notre avantage la taille importante du réseau JeuxDeMots pour enrichir la base de nouveaux faits à partir d'un grand nombre d'exemples comparables et par un processus d'abduction sur les types de relations sémantiques pouvant connecter deux termes donnés. Chaque inférence s’accompagne d’explications pouvant être validées ou invalidées offrant ainsi un processus d’apprentissage.
Thanks to the democratization of new communication technologies, there is a growing quantity of textual resources, making Automatic Natural Language Processing (NLP) a discipline of crucial importance both scientifically and industrially.…
Advisors/Committee Members: Lafourcade, Mathieu (thesis director).
Subjects/Keywords: Taln; Réseau lexico-Sémantique; Peuplonomie; Nlp; Lexico-Semantic network; Crowdsourcing
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APA ·
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Manager
APA (6th Edition):
Cousot, K. (2019). Inférences et explications dans les réseaux lexico-sémantiques : Inference in lexico-semantic network built by crowdsourcing. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2019MONTS108
Chicago Manual of Style (16th Edition):
Cousot, Kévin. “Inférences et explications dans les réseaux lexico-sémantiques : Inference in lexico-semantic network built by crowdsourcing.” 2019. Doctoral Dissertation, Montpellier. Accessed January 25, 2021.
http://www.theses.fr/2019MONTS108.
MLA Handbook (7th Edition):
Cousot, Kévin. “Inférences et explications dans les réseaux lexico-sémantiques : Inference in lexico-semantic network built by crowdsourcing.” 2019. Web. 25 Jan 2021.
Vancouver:
Cousot K. Inférences et explications dans les réseaux lexico-sémantiques : Inference in lexico-semantic network built by crowdsourcing. [Internet] [Doctoral dissertation]. Montpellier; 2019. [cited 2021 Jan 25].
Available from: http://www.theses.fr/2019MONTS108.
Council of Science Editors:
Cousot K. Inférences et explications dans les réseaux lexico-sémantiques : Inference in lexico-semantic network built by crowdsourcing. [Doctoral Dissertation]. Montpellier; 2019. Available from: http://www.theses.fr/2019MONTS108
University of New South Wales
7.
Hu, Ke.
Personalizing air pollution exposure estimation using wireless sensor network and machine learning approaches.
Degree: Electrical Engineering & Telecommunications, 2018, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/60241
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51281/SOURCE02?view=true
► Metropolitan air pollution is a growing concern in both developing and developed countries because of its adverse impact on human health. Most countries have monitoring…
(more)
▼ Metropolitan air pollution is a growing concern in both developing and developed countries because of its adverse impact on human health. Most countries have monitoring systems that estimate pollution at the regional level; however, little has been done by way of understanding exposure at the individual level, or to manage such exposure by adapting daily routines. This thesis is an attempt to develop and evaluate a system that crowd-sources air pollution readings taken at fine spatial granularity using mobile sensors, integrating such measurements with fixed-site data to estimate pollution surface using machine learning models, and determining individual exposure by combining pollution surface information with personal location and activity data.We begin by surveying previous studies on air pollution measurement and health impacts, and argue that personalization is needed for better medical inferencing. Our first contribution is to design and evaluate HazeWatch, a low-cost participatory sensing system that uses a combination of portable mobile sensor units, smartphones, cloud computing, and mobile applications to measure and aggregate fine-grained air pollution concentrations for the Sydney metropolis. The trial results show that our system yields much more accurate exposure estimates than current systems. Our second contribution is HazeEst, a machine-learning-based system that combines sparse fixed-station data with dense mobile sensor data to estimate the air pollution surface for any given hour and day in Sydney, showing that long-term air pollution can be accurately estimated. We show that HazeEst not only yields high spatial resolution estimates that correspond well with the pollution surface obtained from fixed-station and mobile sensor monitoring systems, but can also indicate clear boundaries of the polluted area. Our final contribution is to develop HazeDose, a system that combines air pollution and human activity data to give individuals personalized air pollution exposure estimates, and recommendations on how personal dosage can be reduced. This thesis paves the way towards a deeper understanding of the relationship between air pollution and human health via personalized estimations.
Advisors/Committee Members: Sivaraman, Vijay, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW.
Subjects/Keywords: Machine learning; Crowdsourcing; Wireless sensor network; Air pollution; Personalizing
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APA (6th Edition):
Hu, K. (2018). Personalizing air pollution exposure estimation using wireless sensor network and machine learning approaches. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60241 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51281/SOURCE02?view=true
Chicago Manual of Style (16th Edition):
Hu, Ke. “Personalizing air pollution exposure estimation using wireless sensor network and machine learning approaches.” 2018. Doctoral Dissertation, University of New South Wales. Accessed January 25, 2021.
http://handle.unsw.edu.au/1959.4/60241 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51281/SOURCE02?view=true.
MLA Handbook (7th Edition):
Hu, Ke. “Personalizing air pollution exposure estimation using wireless sensor network and machine learning approaches.” 2018. Web. 25 Jan 2021.
Vancouver:
Hu K. Personalizing air pollution exposure estimation using wireless sensor network and machine learning approaches. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Jan 25].
Available from: http://handle.unsw.edu.au/1959.4/60241 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51281/SOURCE02?view=true.
Council of Science Editors:
Hu K. Personalizing air pollution exposure estimation using wireless sensor network and machine learning approaches. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60241 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51281/SOURCE02?view=true
8.
Coriat, Florent.
Géolocalisation et communication en situation de crise : Geolocation and communication in post-disaster situations.
Degree: Docteur es, Informatique, 2018, Sorbonne université
URL: http://www.theses.fr/2018SORUS340
► En cas de désastre naturel ou de catastrophe industrielle, les infrastructures réseau subissent des dégâts importants et sont confrontés à une hausse soudaine du trafic…
(more)
▼ En cas de désastre naturel ou de catastrophe industrielle, les infrastructures réseau subissent des dégâts importants et sont confrontés à une hausse soudaine du trafic : les organismes officiels cherchent à propager les annonces d’urgence tandis que les rescapés tentent de communiquer avec leurs proches. Dans ce contexte, localiser les victimes est un enjeu crucial pour les secouristes. Dans cette thèse, nous proposons une architecture de collecte permettant aux secouristes de localiser dès les tous premiers instants les personnes présentes sur une zone sinistrée, ainsi que les zones à risques. Ce service s’appuie sur les terminaux mobiles portés par les individus (civiles, sauveteurs) organisés en réseau ad-hoc sans-fil, et sur des équipements spécifiques des centres de sauvetage (hôpitaux, casernes) conçus pour mieux résister dans de telles situations. Nous présentons aussi notre modèle de mobilité, spécifique aux situations de crise, utilisé pour évaluer notre architecture sur le simulateur de réseau ad-hoc The ONE. Nous comparons ainsi les performances de notre système sous différents paramètres de scénario, de mobilité et de communications. Nous nous sommes en particulier intéressés à l'impact sur le système de la proportion des personnes immobilisées. La faisabilité de notre architecture a aussi été validée par la construction d'une plateforme de test physique, basée sur des pico-ordinateurs (Raspberry Pi). Nous avons enfin contribué à la définition d'une nouvelle mesure de centralité locale pour les graphes dynamiques, en vue d'une utilisation pour inférer des informations utiles au routage.
In the aftermath of a natural or industrial disaster, locating individuals is crucial for first responders. However, disasters can cause extensive damage to the network infrastructures and a generalized loss of communication among survivors. In this thesis, we present a network support solution that provides a post-disaster geolocation-collecting service that relies on inter mobile device connections. On top of this dynamically built network, survivors' mobile device that get into contact exchange information about geolocation of others they have encountered and risk areas they have seen. Such information is routed towards pre-defined data collection centers, endowed with resilient processing and storage equipment, where first-responders can exploit it. Whe also present our mobility model, specific to crisis situations, that we used to conduct experiments on the ONE simulator. We evaluate the effect of different parameters of mobility and communication on our system performances. We especially analyse the impact of the proportion of motionless people. The feasability of our architecture has also been validated through the building of a physical test platform, based on pico-computers (Raspberry Pi). We finally contributed to define a new local centrality metric for time varying graphs, which could be used to infer useful information for routing.
Advisors/Committee Members: Fladenmuller, Anne (thesis director), Arantes, Luciana (thesis director).
Subjects/Keywords: Géolocalisation; Crise; Réseau Ad-Hoc; DTN; Crowdsourcing; Performance; Geolocation; Crisis; Ad-Hoc Network; DTN; Crowdsourcing; Performance; 004.167; 526.640285
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APA (6th Edition):
Coriat, F. (2018). Géolocalisation et communication en situation de crise : Geolocation and communication in post-disaster situations. (Doctoral Dissertation). Sorbonne université. Retrieved from http://www.theses.fr/2018SORUS340
Chicago Manual of Style (16th Edition):
Coriat, Florent. “Géolocalisation et communication en situation de crise : Geolocation and communication in post-disaster situations.” 2018. Doctoral Dissertation, Sorbonne université. Accessed January 25, 2021.
http://www.theses.fr/2018SORUS340.
MLA Handbook (7th Edition):
Coriat, Florent. “Géolocalisation et communication en situation de crise : Geolocation and communication in post-disaster situations.” 2018. Web. 25 Jan 2021.
Vancouver:
Coriat F. Géolocalisation et communication en situation de crise : Geolocation and communication in post-disaster situations. [Internet] [Doctoral dissertation]. Sorbonne université; 2018. [cited 2021 Jan 25].
Available from: http://www.theses.fr/2018SORUS340.
Council of Science Editors:
Coriat F. Géolocalisation et communication en situation de crise : Geolocation and communication in post-disaster situations. [Doctoral Dissertation]. Sorbonne université; 2018. Available from: http://www.theses.fr/2018SORUS340
Brno University of Technology
9.
Kunc, Jaroslav.
Android aplikace pro měření uživatelské spokojenosti s mobilní datovou službou: Android application for measuring user satisfaction with mobile data service.
Degree: 2019, Brno University of Technology
URL: http://hdl.handle.net/11012/61582
► The bachelor thesis focuses on user satisfaction with mobile data services. The thesis in this context explains the terms of Quality of Service, Quality of…
(more)
▼ The bachelor thesis focuses on user satisfaction with mobile data services. The thesis in this context explains the terms of Quality of Service, Quality of Experience and
Crowdsourcing. An another part of a thesis is focusing on describing the development of applications for the Android platform, including the distribution and application testing. In the practical part of thesis, the application for the Android platform is created and it is predicting the user satisfaction with mobile data services on the basis of an analytical model for calculating MOS (Mean Opinion Score).
Advisors/Committee Members: Červenák, Rastislav (advisor), Povoda, Lukáš (referee).
Subjects/Keywords: QoS; QoE; Crowdsourcing; Android; Mobilní datová služba; Mobilní aplikace; QoS; QoE; Crowdsourcing; Android; Mobile data network; Mobile application
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APA (6th Edition):
Kunc, J. (2019). Android aplikace pro měření uživatelské spokojenosti s mobilní datovou službou: Android application for measuring user satisfaction with mobile data service. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/61582
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kunc, Jaroslav. “Android aplikace pro měření uživatelské spokojenosti s mobilní datovou službou: Android application for measuring user satisfaction with mobile data service.” 2019. Thesis, Brno University of Technology. Accessed January 25, 2021.
http://hdl.handle.net/11012/61582.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kunc, Jaroslav. “Android aplikace pro měření uživatelské spokojenosti s mobilní datovou službou: Android application for measuring user satisfaction with mobile data service.” 2019. Web. 25 Jan 2021.
Vancouver:
Kunc J. Android aplikace pro měření uživatelské spokojenosti s mobilní datovou službou: Android application for measuring user satisfaction with mobile data service. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/11012/61582.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kunc J. Android aplikace pro měření uživatelské spokojenosti s mobilní datovou službou: Android application for measuring user satisfaction with mobile data service. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/61582
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Wayne State University
10.
Kim, Jihoon.
Formal Design Concept And Participant Behavior Analysis For Crowdsourcing Design.
Degree: PhD, Industrial and Manufacturing Engineering, 2015, Wayne State University
URL: https://digitalcommons.wayne.edu/oa_dissertations/1146
► Crowdsourcing has emerged as a new design resource for conceptual design process and multiple crowdsourcing services provide an opportunity for design idea collection and…
(more)
▼ Crowdsourcing has emerged as a new design resource for conceptual design process and multiple
crowdsourcing services provide an opportunity for design idea collection and concept generation by crowds. However, few formal methods are available to extract and evaluate design concepts from the activities of the design crowd. Scarcity of information and non-guaranteed quality of contributions are often challenges to be tackled. To overcome the challenges, the research aims to answer how a system systematically extracts and represents the explicit or implicit hidden design concepts from
crowdsourcing design activities and how
crowdsourcing design activities of participants are captured as design information to develop a product in
crowdsourcing platform in the perspectives of process and elements.
This research provides taxonomy of design features to represent
crowdsourcing design activities. With the taxonomy, a formal concept analysis method, Galois lattices, is applied to evaluate activities of design crowd and to extract possible design concepts. Using this approach, the crowd activities are represented with design features and participant information and it allows modeling the potential design concepts with the contributions of participants. Two participant evaluating measures, Participant Individual Score and Participant Group Score, are proposed to enhance the extracted design concepts with participants' information. By employing the proposed scores and design features, this research figure out the significance of participants' behavior in
crowdsourcing design. In addition, a formal method to represent the processes and elements in
crowdsourcing design activities with the theory adopted from social science, Actor
Network Theory. The presented method and metrics are validated with a real design data collected from a
crowdsourcing service by focus group interview and precision and recall tests.
Advisors/Committee Members: Kyoug-yun Kim.
Subjects/Keywords: Actor Network Theory; Crowdsourcing design; Formal Design Concept; Galois Lattices; Industrial Engineering
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APA (6th Edition):
Kim, J. (2015). Formal Design Concept And Participant Behavior Analysis For Crowdsourcing Design. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1146
Chicago Manual of Style (16th Edition):
Kim, Jihoon. “Formal Design Concept And Participant Behavior Analysis For Crowdsourcing Design.” 2015. Doctoral Dissertation, Wayne State University. Accessed January 25, 2021.
https://digitalcommons.wayne.edu/oa_dissertations/1146.
MLA Handbook (7th Edition):
Kim, Jihoon. “Formal Design Concept And Participant Behavior Analysis For Crowdsourcing Design.” 2015. Web. 25 Jan 2021.
Vancouver:
Kim J. Formal Design Concept And Participant Behavior Analysis For Crowdsourcing Design. [Internet] [Doctoral dissertation]. Wayne State University; 2015. [cited 2021 Jan 25].
Available from: https://digitalcommons.wayne.edu/oa_dissertations/1146.
Council of Science Editors:
Kim J. Formal Design Concept And Participant Behavior Analysis For Crowdsourcing Design. [Doctoral Dissertation]. Wayne State University; 2015. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1146
11.
Plum, Alexander B.
Tasks and characteristics of end users during the open innovation processes on the social web.
Degree: PhD, 2012, Teesside University
URL: https://research.tees.ac.uk/en/studentTheses/8c8d4a71-ecc4-4004-acad-53c20a6a9f2c
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574683
► The present thesis aims to deduce tasks and characteristics of end users during the open innovation process on the social web. The social web with…
(more)
▼ The present thesis aims to deduce tasks and characteristics of end users during the open innovation process on the social web. The social web with its communities, forums and blogs affords new prospects as well as unknown challenges for companies, and at the same has increasingly influenced academic research during the last few years. Especially research regarding communication behaviour on the social web as well as social web technologies has currently progressed well. However, in innovation research, social web technologies are currently primarily used to integrate users into the company’s innovation process, for example through company user toolkits or company innovation communities. In those cases users were excluded from their normal social web environment and integrated into a company’s environment, a sort of laboratory environment. Despite this, the present research project will use the natural behaviour, comments and discussions of users within their social web environment to develop and apply a new mixed-method approach with the aim to deduce tasks and characteristics of innovative end users on the social web. To apply the mixed-method approach within a longitudinal case study and to deduce statements and regularities regarding the innovation process on the social web, it was possible to analyse the end user developer online forum of one of the leading open source CRM software technologies. Based on this analysis, the assumptions from an extensive literature analysis could be verified and extended: it could be shown that the expected single innovative user does not exist. In fact, the process from the initial idea to an innovation requires different users with different characteristics and different points of view. They will be deduced, explained and presented within the present thesis.
Subjects/Keywords: 658; web monitoring; user-driven innovation; social network analysis; discourse analysis; crowdsourcing
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APA (6th Edition):
Plum, A. B. (2012). Tasks and characteristics of end users during the open innovation processes on the social web. (Doctoral Dissertation). Teesside University. Retrieved from https://research.tees.ac.uk/en/studentTheses/8c8d4a71-ecc4-4004-acad-53c20a6a9f2c ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574683
Chicago Manual of Style (16th Edition):
Plum, Alexander B. “Tasks and characteristics of end users during the open innovation processes on the social web.” 2012. Doctoral Dissertation, Teesside University. Accessed January 25, 2021.
https://research.tees.ac.uk/en/studentTheses/8c8d4a71-ecc4-4004-acad-53c20a6a9f2c ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574683.
MLA Handbook (7th Edition):
Plum, Alexander B. “Tasks and characteristics of end users during the open innovation processes on the social web.” 2012. Web. 25 Jan 2021.
Vancouver:
Plum AB. Tasks and characteristics of end users during the open innovation processes on the social web. [Internet] [Doctoral dissertation]. Teesside University; 2012. [cited 2021 Jan 25].
Available from: https://research.tees.ac.uk/en/studentTheses/8c8d4a71-ecc4-4004-acad-53c20a6a9f2c ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574683.
Council of Science Editors:
Plum AB. Tasks and characteristics of end users during the open innovation processes on the social web. [Doctoral Dissertation]. Teesside University; 2012. Available from: https://research.tees.ac.uk/en/studentTheses/8c8d4a71-ecc4-4004-acad-53c20a6a9f2c ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574683
University of South Carolina
12.
Ning, Huan.
Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning and Crowdsourcing.
Degree: Degree ofMSin Geography, Geography, 2019, University of South Carolina
URL: https://scholarcommons.sc.edu/etd/5253
► This thesis aims to implement a prototype system to screen flooding photos from social media. These photos, associated with their geographic locations, can provide…
(more)
▼ This thesis aims to implement a prototype system to screen flooding photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision makers. This system is designed for the application to the real social media images, including several key functions: tweets downloading, image downloading, flooding photo detection, and human verification via a WebGIS application. In this study, a training dataset of 5,000 flooding photos was built based on an iterative method; a convolutional neural
network (CNN) was then trained and applied to detect flooding photos. Also, the CNN can be re- trained by a larger training dataset after adding the verified flooding photos to the training set. The flooding photo detection result shows that the trained CNN achieved a total accuracy of 93% in a balanced test set (the flooding and non-flooding class have the same number of samples) and precisions of 46% – 63% in the imbalanced real-time tweets (the number of flooding samples are over 20 times larger than non-flooding), demonstrating the feasibility of the proposed pipeline. The system is flexible to change the classifier, so that detecting other disasters (e.g., tornado) is possible.
Advisors/Committee Members: Zhenlong Li.
Subjects/Keywords: Geography; flooding; photo screening system; crowdsourcing; social media; geographic; convolutional neural network; CNN
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APA (6th Edition):
Ning, H. (2019). Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning and Crowdsourcing. (Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5253
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ning, Huan. “Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning and Crowdsourcing.” 2019. Thesis, University of South Carolina. Accessed January 25, 2021.
https://scholarcommons.sc.edu/etd/5253.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ning, Huan. “Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning and Crowdsourcing.” 2019. Web. 25 Jan 2021.
Vancouver:
Ning H. Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning and Crowdsourcing. [Internet] [Thesis]. University of South Carolina; 2019. [cited 2021 Jan 25].
Available from: https://scholarcommons.sc.edu/etd/5253.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ning H. Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning and Crowdsourcing. [Thesis]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5253
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Indian Institute of Science
13.
Nath, Swaprava.
Mechanism Design For Strategic Crowdsourcing.
Degree: PhD, Faculty of Engineering, 2013, Indian Institute of Science
URL: http://etd.iisc.ac.in/handle/2005/2497
► This thesis looks into the economics of crowdsourcing using game theoretic modeling. The art of aggregating information and expertise from a diverse population has been…
(more)
▼ This thesis looks into the economics of
crowdsourcing using game theoretic modeling. The art of aggregating information and expertise from a diverse population has been in practice since a long time. The Internet and the revolution in communication and computational technologies have made this task easier and given birth to a new era of online resource aggregation, which is now popularly referred to as
crowdsourcing. Two important features of this aggregation technique are: (a)
crowdsourcing is always human driven, hence the participants are rational and intelligent, and they have a payoff function that they aim to maximize, and (b) the participants are connected over a social
network which helps to reach out to a large set of individuals. To understand the behavior and the outcome of such a strategic crowd, we need to understand the economics of a
crowdsourcing network. In this thesis, we have considered the following three major facets of the strategic
crowdsourcing problem.
(i) Elicitation of the true qualities of the crowd workers: As the crowd is often unstructured and unknown to the designer, it is important to ensure if the crowdsourced job is indeed performed at the highest quality, and this requires elicitation of the true qualities which are typically the participants' private information.
(ii) Resource critical task execution ensuring the authenticity of both the information and the identity of the participants: Due to the diverse geographical, cultural, socio-economic reasons,
crowdsourcing entails certain manipulations that are unusual in the classical theory. The design has to be robust enough to handle fake identities or incorrect information provided by the crowd while performing
crowdsourcing contests.
(iii) Improving the productive output of the
crowdsourcing network: As the designer's goal is to maximize a certain measurable output of the
crowdsourcing system, an interesting question is how one can design the incentive scheme and/or the
network so that the system performs at an optimal level taking into account the strategic nature of the individuals. In the thesis, we design novel mechanisms to solve the problems above using game theoretic modeling. Our investigation helps in understanding certain limits of achievability, and provides design protocols in order to make
crowdsourcing more reliable, effective, and productive.
Advisors/Committee Members: Narahari, Y (advisor).
Subjects/Keywords: Mechanism Design; Game Theory; Crowdsourcing; Game Theory Modelling; Crowdsourcing Network; Crowd Workers; Dynamic Mechanism Design; Strategic Crowd; Game Theoretic Modeling; Computer and Information Science
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APA (6th Edition):
Nath, S. (2013). Mechanism Design For Strategic Crowdsourcing. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2497
Chicago Manual of Style (16th Edition):
Nath, Swaprava. “Mechanism Design For Strategic Crowdsourcing.” 2013. Doctoral Dissertation, Indian Institute of Science. Accessed January 25, 2021.
http://etd.iisc.ac.in/handle/2005/2497.
MLA Handbook (7th Edition):
Nath, Swaprava. “Mechanism Design For Strategic Crowdsourcing.” 2013. Web. 25 Jan 2021.
Vancouver:
Nath S. Mechanism Design For Strategic Crowdsourcing. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2013. [cited 2021 Jan 25].
Available from: http://etd.iisc.ac.in/handle/2005/2497.
Council of Science Editors:
Nath S. Mechanism Design For Strategic Crowdsourcing. [Doctoral Dissertation]. Indian Institute of Science; 2013. Available from: http://etd.iisc.ac.in/handle/2005/2497
Cornell University
14.
Haft Javaherian, Mohammad.
QUANTITATIVE ASSESSMENT OF CEREBRAL MICROVASCULATURE USING MACHINE LEARNING AND NETWORK ANALYSIS.
Degree: PhD, Biomedical Engineering, 2019, Cornell University
URL: http://hdl.handle.net/1813/67412
► Vasculature networks are responsible for providing reliable blood perfusion to tissues in health or disease conditions. Volumetric imaging approaches, such as multiphoton microscopy, can generate…
(more)
▼ Vasculature networks are responsible for providing reliable blood perfusion to tissues in health or disease conditions. Volumetric imaging approaches, such as multiphoton microscopy, can generate detailed 3D images of blood vessel networks allowing researchers to investigate different aspects of vascular structures and networks in normal physiology and disease mechanisms. Image processing tasks such as vessel segmentation and centerline extraction impede research progress and have prevented the systematic comparison of 3D vascular architecture across large experimental populations in an objective fashion. The work presented in this dissertation provides complete a fully-automated, open-source, and fast image processing pipeline that is transferable to other research areas and practices with minimal interventions and fine-tuning. As a proof of concept, the applications of the proposed pipeline are presented in the contexts of different biomedical and biological research questions ranging from the stalling capillary phenomenon in Alzheimer’s disease to the drought resistance of xylem networks in various tree species and wood types.
Advisors/Committee Members: Nishimura, Nozomi (chair), Fetcho, Joseph R. (committee member), Schaffer, Chris (committee member), Sabuncu, Mert (committee member).
Subjects/Keywords: Crowdsourcing; Electrical engineering; computer vision; Image Processing; Biomedical engineering; Artificial intelligence; Alzheimer’s disease; Brain Vasculature; Network Analysis
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APA (6th Edition):
Haft Javaherian, M. (2019). QUANTITATIVE ASSESSMENT OF CEREBRAL MICROVASCULATURE USING MACHINE LEARNING AND NETWORK ANALYSIS. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/67412
Chicago Manual of Style (16th Edition):
Haft Javaherian, Mohammad. “QUANTITATIVE ASSESSMENT OF CEREBRAL MICROVASCULATURE USING MACHINE LEARNING AND NETWORK ANALYSIS.” 2019. Doctoral Dissertation, Cornell University. Accessed January 25, 2021.
http://hdl.handle.net/1813/67412.
MLA Handbook (7th Edition):
Haft Javaherian, Mohammad. “QUANTITATIVE ASSESSMENT OF CEREBRAL MICROVASCULATURE USING MACHINE LEARNING AND NETWORK ANALYSIS.” 2019. Web. 25 Jan 2021.
Vancouver:
Haft Javaherian M. QUANTITATIVE ASSESSMENT OF CEREBRAL MICROVASCULATURE USING MACHINE LEARNING AND NETWORK ANALYSIS. [Internet] [Doctoral dissertation]. Cornell University; 2019. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/1813/67412.
Council of Science Editors:
Haft Javaherian M. QUANTITATIVE ASSESSMENT OF CEREBRAL MICROVASCULATURE USING MACHINE LEARNING AND NETWORK ANALYSIS. [Doctoral Dissertation]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/67412
15.
Conner, Savanna.
Visible and Valuable Writing: A Case for Inviting Web Writing Histories into Composition Courses.
Degree: 2017, Sam Houston State University
URL: http://hdl.handle.net/20.500.11875/2236
► This research takes as its premise a pair of accepted and connected truths in composition studies. First, mediation of student writing practices—the central action of…
(more)
▼ This research takes as its premise a pair of accepted and connected truths in composition studies. First, mediation of student writing practices—the central action of any composition classroom—is accomplished only through engagement. Second, those practices, however abstruse, do not exist in isolation: they are the products of writers, who are the products of the environments from which they emerge. This thesis seeks to employ one of those environments, one in which 21st century students are entrenched, as a means to accomplish that necessary engagement with student writing processes: the web.
The stages of the writing process are indistinct and discursive, and they are approached differently by the scholars of each equally nebulous movement in composition studies. This study systematically delineates the tenets of those movements, introduces hallmark features of the present-day web, and asserts the merits of using Activity Theory and Actor
Network theory as lenses for foregrounding the importance of writing technologies as detailed and unique mediators of writing actions. It suggests, then, relocating stages of the writing process to online spaces. Next, the results of discourse analysis performed on student activity in a First Year Composition course, in which online discussion boards were constructed as informal writing spaces, are presented. The results validate the conviction that transferable writing skills are successfully fostered when writing spaces are not foreign, but are instead carefully designed to acknowledge the characteristics of the web environment comfortably inhabited by 21st century students; finally, examples of the benefits of such design are demonstrated in discussions of the Web 2.0 hallmarks of perpetual beta,
crowdsourcing, and folksonomies.
Advisors/Committee Members: Nardone, Carroll F. (advisor).
Subjects/Keywords: First year composition; web studies; activity theory; actor network theory; discussion boards; perpetual beta; crowdsourcing; folksonomies
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APA (6th Edition):
Conner, S. (2017). Visible and Valuable Writing: A Case for Inviting Web Writing Histories into Composition Courses. (Thesis). Sam Houston State University. Retrieved from http://hdl.handle.net/20.500.11875/2236
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Conner, Savanna. “Visible and Valuable Writing: A Case for Inviting Web Writing Histories into Composition Courses.” 2017. Thesis, Sam Houston State University. Accessed January 25, 2021.
http://hdl.handle.net/20.500.11875/2236.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Conner, Savanna. “Visible and Valuable Writing: A Case for Inviting Web Writing Histories into Composition Courses.” 2017. Web. 25 Jan 2021.
Vancouver:
Conner S. Visible and Valuable Writing: A Case for Inviting Web Writing Histories into Composition Courses. [Internet] [Thesis]. Sam Houston State University; 2017. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/20.500.11875/2236.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Conner S. Visible and Valuable Writing: A Case for Inviting Web Writing Histories into Composition Courses. [Thesis]. Sam Houston State University; 2017. Available from: http://hdl.handle.net/20.500.11875/2236
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Indian Institute of Science
16.
Dayama, Pankaj.
Incentive Strategies and Algorithms for Networks, Crowds and Markets.
Degree: PhD, Faculty of Engineering, 2018, Indian Institute of Science
URL: http://etd.iisc.ac.in/handle/2005/3992
► This work is motivated by several modern applications involving social networks, crowds, and markets. Our work focuses on the theme of designing effective incentive strategies…
(more)
▼ This work is motivated by several modern applications involving social networks, crowds, and markets. Our work focuses on the theme of designing effective incentive strategies for these applications. Viral marketing is receiving much attention by practicing marketers and researchers alike. While not a new idea, it has come to the forefront because of multiple effects – products have become more complex, making buyers to increasingly rely on opinions of their peers; consumers have evolved to distrust advertising; and Web2.0 has revolutionized the way people can connect, communicate and share. With power shifting to consumers, it has become important for companies to devise effective viral marketing strategies. Incentives are also a critical aspect of crowd sourcing tasks and play a crucial role in attracting, motivating and sustaining participation. The thesis addresses the following problems.
(i) Optimal Control of Information Epidemics: We address two problems concerning information propagation in a population: a) how to maximize the spread of a given message in the population within the stipulated time and b) how to create a given level of buzz- measured by the fraction of the population engaged in conversation on a topic of interest- at a specified time horizon.
(ii) Optimal Control Strategies for Social Influence (SI) Marketing: We investigate four SI strategies, namely, recommendation programs, referral programs, consumer reviews and campaigns on on-line forums. The campaign is assumed to be of finite duration, and the objective is to maximize profit, the (un-discounted) revenue minus the expenditure on the SI strategy under consideration, over the campaign duration. For each SI strategy, we focus on its timing, i.e., determining at what times to execute it. We address two important questions pertaining to them: a) how to execute a given SI strategy optimally? and b) having executed it so, what gains does it lead to?
(iii) Optimal Mix of Incentive Strategies on Social Networks: The reach of a product in a pop- ulation can be influenced by offering (a) direct incentives to influence the buying behavior of potential buyers and (b) referral rewards to exploit the impact of social influence in inducing a purchasing decision. The company is interested in an optimal mix of these incentive programs. We report results on structure of optimal strategies for the company with significant practical implications.
(iv) Truthful Tractable Mechanisms with Applications to Crowd sourcing: We focus on crowd- sourcing applications that involve specialized tasks for which the planner hardly has any idea about crowdworkers’ costs, for example, tagging geographical regions with air pollution levels or severity level of Ebola like disease. The mechanisms have to be robust to untruthful bidding from the crowdworkers. In our work, we propose tractable allocation algorithms that are monotone, leading to design of truthful mechanisms that can be successfully deployed in such applications.
Advisors/Committee Members: Narahari, Y (advisor).
Subjects/Keywords: Computer Communication Network; Internet (World Wide Web); Social Network; Internet Marketing Strategies; Optimal Control Theory; Pontryagin’s Maximum Priniciple; Social Influence Marketing1; Crowdsourcing; Computer Science
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APA (6th Edition):
Dayama, P. (2018). Incentive Strategies and Algorithms for Networks, Crowds and Markets. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3992
Chicago Manual of Style (16th Edition):
Dayama, Pankaj. “Incentive Strategies and Algorithms for Networks, Crowds and Markets.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 25, 2021.
http://etd.iisc.ac.in/handle/2005/3992.
MLA Handbook (7th Edition):
Dayama, Pankaj. “Incentive Strategies and Algorithms for Networks, Crowds and Markets.” 2018. Web. 25 Jan 2021.
Vancouver:
Dayama P. Incentive Strategies and Algorithms for Networks, Crowds and Markets. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 25].
Available from: http://etd.iisc.ac.in/handle/2005/3992.
Council of Science Editors:
Dayama P. Incentive Strategies and Algorithms for Networks, Crowds and Markets. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3992
17.
-5534-0331.
Handwriting transcription using word spotting with humans in the loop.
Degree: MSin Information Studies, Information Studies, 2018, University of Texas – Austin
URL: http://hdl.handle.net/2152/66031
► Handwritten materials are increasingly being digitized and made available for scholarly analysis and research. To this end, numerous specialized software tools have been developed to…
(more)
▼ Handwritten materials are increasingly being digitized and made available for scholarly analysis and research. To this end, numerous specialized software tools have been developed to support the crowdsourced transcription of such texts. However, as many of these tools operate at the page-level, they are unsuitable for documents containing privacy-sensitive data such as medical records, as displaying an entire page at a time risks the potential of disclosing such information to unintended parties. Additionally, manual transcription efforts can be slow and expensive. Automated optical character recognition (OCR) methods perform poorly on handwritten text due to factors such as the large variability in human handwriting, degradation of paper documents, and artifacts of scanning. Thus, handwritten text recognition and analysis remain active areas of research. With the renewed interest in neural networks, recent methods using deep learning have achieved unprecedented state-of-the-art results on benchmark datasets in areas including word recognition, word spotting, and character recognition. Despite this, current methods are not yet robust enough to fully automate handwriting transcription tasks alone. In this work, we report a novel approach that combines the efficiency of machine learning with the accuracy of human intelligence in order to semi-automatically transcribe a challenging real-world dataset of word images segmented from historical handwritten medical records as part of the Central State Hospital Digital (CSH) Library and Archives project. Specifically, we leverage a deep convolutional
network to generate feature sets, identify groups of similar images using unsupervised hierarchical density-based clustering, and develop a system to obtain cluster transcriptions from human workers on an online
crowdsourcing platform. In doing so, we aim to reduce the number of images to be sent to the crowd, thereby optimizing monetary and time costs while maintaining an acceptable level of accuracy as well as preserving the privacy of the data.
Advisors/Committee Members: Karadkar, Unmil (advisor).
Subjects/Keywords: Handwriting; Transcription; Word spotting; Crowdsourcing; Clustering; Convolutional neural network
…Overview of our crowdsourcing system. At a high level, the
sender selects images from the… …transcription of handwritten text can be achieved by crowdsourcing
this task to human workers online… …relevant to human computation and crowdsourcing. Whereas some tasks such as recognizing objects… …Crowdsourcing implements this idea by outsourcing such problems
to undefined networks of humans online… …Crowdsourcing is
also used by researchers for tasks such as data annotation [84, 85], user…
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APA (6th Edition):
-5534-0331. (2018). Handwriting transcription using word spotting with humans in the loop. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/66031
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Chicago Manual of Style (16th Edition):
-5534-0331. “Handwriting transcription using word spotting with humans in the loop.” 2018. Masters Thesis, University of Texas – Austin. Accessed January 25, 2021.
http://hdl.handle.net/2152/66031.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
MLA Handbook (7th Edition):
-5534-0331. “Handwriting transcription using word spotting with humans in the loop.” 2018. Web. 25 Jan 2021.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Vancouver:
-5534-0331. Handwriting transcription using word spotting with humans in the loop. [Internet] [Masters thesis]. University of Texas – Austin; 2018. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/2152/66031.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Council of Science Editors:
-5534-0331. Handwriting transcription using word spotting with humans in the loop. [Masters Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/66031
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Australian National University
18.
Mathews, Alexander Patrick.
Automatic Image Captioning with Style
.
Degree: 2018, Australian National University
URL: http://hdl.handle.net/1885/151929
► This thesis connects two core topics in machine learning, vision and language. The problem of choice is image caption generation: automatically constructing natural language descriptions…
(more)
▼ This thesis connects two core topics in machine learning, vision
and language. The problem of choice is image caption generation:
automatically constructing natural language descriptions of image
content. Previous research into image caption generation has
focused on generating purely descriptive captions; I focus on
generating visually relevant captions with a distinct linguistic
style. Captions with style have the potential to ease
communication and add a new layer of personalisation.
First, I consider naming variations in image captions, and
propose a method for predicting context-dependent names that
takes into account visual and linguistic information. This method
makes use of a large-scale image caption dataset, which I also
use to explore naming conventions and report naming conventions
for hundreds of animal classes. Next I propose the SentiCap
model, which relies on recent advances in artificial neural
networks to generate visually relevant image captions with
positive or negative sentiment. To balance descriptiveness and
sentiment, the SentiCap model dynamically switches between two
recurrent neural networks, one tuned for descriptive words and
one for sentiment words. As the first published model for
generating captions with sentiment, SentiCap has influenced a
number of subsequent works. I then investigate the sub-task of
modelling styled sentences without images. The specific task
chosen is sentence simplification: rewriting news article
sentences to make them easier to understand.
For this task I design a neural sequence-to-sequence model that
can work with
limited training data, using novel adaptations for word copying
and sharing
word embeddings. Finally, I present SemStyle, a system for
generating visually
relevant image captions in the style of an arbitrary text corpus.
A shared term
space allows a neural network for vision and content planning to
communicate
with a network for styled language generation. SemStyle achieves
competitive
results in human and automatic evaluations of descriptiveness and
style.
As a whole, this thesis presents two complete systems for styled
caption generation that are first of their kind and demonstrate,
for the first time, that automatic style transfer for image
captions is achievable. Contributions also include novel ideas
for object naming and sentence simplification. This thesis opens
up inquiries into highly personalised image captions; large scale
visually grounded concept naming; and more generally, styled text
generation with content control.
Subjects/Keywords: caption generation; style; linguistic style; styled captions; image captions; neural network; natural language generation; language generation; style generation; computer vision; concept naming; sentiment; sentence simplification; recurrent neural network; RNN; LSTM; sentiment generation; visual concept naming; convolutional neural network; CNN; crowd sourcing; crowdsourcing; context-dependent names; context naming; sequence-to-sequence; sequence to sequence; SentiCap; SemStyle; style transfer
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APA ·
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Manager
APA (6th Edition):
Mathews, A. P. (2018). Automatic Image Captioning with Style
. (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/151929
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Mathews, Alexander Patrick. “Automatic Image Captioning with Style
.” 2018. Thesis, Australian National University. Accessed January 25, 2021.
http://hdl.handle.net/1885/151929.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Mathews, Alexander Patrick. “Automatic Image Captioning with Style
.” 2018. Web. 25 Jan 2021.
Vancouver:
Mathews AP. Automatic Image Captioning with Style
. [Internet] [Thesis]. Australian National University; 2018. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/1885/151929.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Mathews AP. Automatic Image Captioning with Style
. [Thesis]. Australian National University; 2018. Available from: http://hdl.handle.net/1885/151929
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
19.
Eliasson, Robert.
The challenges of launching a crowd based platform : A single case study of a Swedish service provider.
Degree: Informatics, 2013, Umeå University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80526
► Using the concept of open innovation companies have started to look beyond their own borders using the crowd as a source for labour, knowledge…
(more)
▼ Using the concept of open innovation companies have started to look beyond their own borders using the crowd as a source for labour, knowledge and innovation. During the last few years the phenomena of crowdsourcing and crowdfunding have become increasingly popular as sources of competitive advantage through the crowd. While several studies have examined crowd based platforms focusing on the users, little attention has been brought to the companies starting these crowd based services. This study addresses this gap in existing knowledge related to crowd based platforms through a qualitative case study examining a Swedish start-up. We demonstrate challenges related to networking, critical mass and quality in the context of launching a crowd based platform.
Subjects/Keywords: crowdfunding; crowdsourcing; crowd platform; critical mass; network; Information Systems; Systemvetenskap, informationssystem och informatik
…the ideal
scenario would be where the crowd can use the crowdsourcing initiative without any… …something and
proposes that many crowdsourcing sites fail as they are designed to capture… …marketers should analyse the
topology and interests of the social network of their customers when… …knowledge, resources or
business network that is necessary for that type of expansion. That’s… …might have the right
knowledge, resources or business network can get in touch with the…
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APA ·
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Manager
APA (6th Edition):
Eliasson, R. (2013). The challenges of launching a crowd based platform : A single case study of a Swedish service provider. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80526
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Eliasson, Robert. “The challenges of launching a crowd based platform : A single case study of a Swedish service provider.” 2013. Thesis, Umeå University. Accessed January 25, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80526.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Eliasson, Robert. “The challenges of launching a crowd based platform : A single case study of a Swedish service provider.” 2013. Web. 25 Jan 2021.
Vancouver:
Eliasson R. The challenges of launching a crowd based platform : A single case study of a Swedish service provider. [Internet] [Thesis]. Umeå University; 2013. [cited 2021 Jan 25].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80526.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Eliasson R. The challenges of launching a crowd based platform : A single case study of a Swedish service provider. [Thesis]. Umeå University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80526
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Florida International University
20.
Kamhoua, Georges Arsene K.
Mitigating Colluding Attacks in Online Social Networks and Crowdsourcing Platforms.
Degree: PhD, Computer Science, 2019, Florida International University
URL: https://digitalcommons.fiu.edu/etd/4281
;
FIDC007703
► Online Social Networks (OSNs) have created new ways for people to communicate, and for companies to engage their customers – with these new avenues…
(more)
▼ Online Social Networks (OSNs) have created new ways for people to communicate, and for companies to engage their customers – with these new avenues for communication come new vulnerabilities that can be exploited by attackers. This dissertation aims to investigate two attack models: Identity Clone Attacks (ICA) and Reconnaissance Attacks (RA). During an ICA, attackers impersonate users in a
network and attempt to infiltrate social circles and extract confidential information. In an RA, attackers gather information on a target's resources, employees, and relationships with other entities over public venues such as OSNs and company websites. This was made easier for the RA to be efficient because well-known social networks, such as Facebook, have a policy to force people to use their real identities for their accounts. The goal of our research is to provide mechanisms to defend against colluding attackers in the presence of ICA and RA collusion attacks. In this work, we consider a scenario not addressed by previous works, wherein multiple attackers collude against the
network, and propose defense mechanisms for such an attack. We take into account the asymmetric nature of social networks and include the case where colluders could add or modify some attributes of their clones. We also consider the case where attackers send few friend requests to uncover their targets.
To detect fake reviews and uncovering colluders in
crowdsourcing, we propose a semantic similarity measurement between reviews and a community detection algorithm to overcome the non-adversarial attack. ICA in a colluding attack may become stronger and more sophisticated than in a single attack. We introduce a token-based comparison and a friend list structure-matching approach, resulting in stronger identifiers even in the presence of attackers who could add or modify some attributes on the clone. We also propose a stronger RA collusion mechanism in which colluders build their own legitimacy by considering asymmetric relationships among users and, while having partial information of the networks, avoid recreating social circles around their targets. Finally, we propose a defense mechanism against colluding RA which uses the weakest person (e.g., the potential victim willing to accept friend requests) to reach their target.
Advisors/Committee Members: Niki Pissinou, Sundaraja Sitharama Iyengar, Deng Pan, Jean H. Andrian, Leonardo Bobadilla.
Subjects/Keywords: Cybersecurity; Colluding Attacks; Online Social Networks; Crowdsourcing; Threats and Solutions; Social Network Analysis; Colluding Targeted Reconnaissance Attack; Identity Clone Attack; Community Detection; Communication Technology and New Media; Mass Communication; Other Electrical and Computer Engineering; Social Media
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APA ·
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Manager
APA (6th Edition):
Kamhoua, G. A. K. (2019). Mitigating Colluding Attacks in Online Social Networks and Crowdsourcing Platforms. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/4281 ; FIDC007703
Chicago Manual of Style (16th Edition):
Kamhoua, Georges Arsene K. “Mitigating Colluding Attacks in Online Social Networks and Crowdsourcing Platforms.” 2019. Doctoral Dissertation, Florida International University. Accessed January 25, 2021.
https://digitalcommons.fiu.edu/etd/4281 ; FIDC007703.
MLA Handbook (7th Edition):
Kamhoua, Georges Arsene K. “Mitigating Colluding Attacks in Online Social Networks and Crowdsourcing Platforms.” 2019. Web. 25 Jan 2021.
Vancouver:
Kamhoua GAK. Mitigating Colluding Attacks in Online Social Networks and Crowdsourcing Platforms. [Internet] [Doctoral dissertation]. Florida International University; 2019. [cited 2021 Jan 25].
Available from: https://digitalcommons.fiu.edu/etd/4281 ; FIDC007703.
Council of Science Editors:
Kamhoua GAK. Mitigating Colluding Attacks in Online Social Networks and Crowdsourcing Platforms. [Doctoral Dissertation]. Florida International University; 2019. Available from: https://digitalcommons.fiu.edu/etd/4281 ; FIDC007703
21.
Ali, Ahmed Mohamed Abdel Maksoud.
Multi-dialect Arabic broadcast speech recognition.
Degree: PhD, 2018, University of Edinburgh
URL: http://hdl.handle.net/1842/31224
► Dialectal Arabic speech research suffers from the lack of labelled resources and standardised orthography. There are three main challenges in dialectal Arabic speech recognition: (i)…
(more)
▼ Dialectal Arabic speech research suffers from the lack of labelled resources and standardised orthography. There are three main challenges in dialectal Arabic speech recognition: (i) finding labelled dialectal Arabic speech data, (ii) training robust dialectal speech recognition models from limited labelled data and (iii) evaluating speech recognition for dialects with no orthographic rules. This thesis is concerned with the following three contributions: Arabic Dialect Identification: We are mainly dealing with Arabic speech without prior knowledge of the spoken dialect. Arabic dialects could be sufficiently diverse to the extent that one can argue that they are different languages rather than dialects of the same language. We have two contributions: First, we use crowdsourcing to annotate a multi-dialectal speech corpus collected from Al Jazeera TV channel. We obtained utterance level dialect labels for 57 hours of high-quality consisting of four major varieties of dialectal Arabic (DA), comprised of Egyptian, Levantine, Gulf or Arabic peninsula, North African or Moroccan from almost 1,000 hours. Second, we build an Arabic dialect identification (ADI) system. We explored two main groups of features, namely acoustic features and linguistic features. For the linguistic features, we look at a wide range of features, addressing words, characters and phonemes. With respect to acoustic features, we look at raw features such as mel-frequency cepstral coefficients combined with shifted delta cepstra (MFCC-SDC), bottleneck features and the i-vector as a latent variable. We studied both generative and discriminative classifiers, in addition to deep learning approaches, namely deep neural network (DNN) and convolutional neural network (CNN). In our work, we propose Arabic as a five class dialect challenge comprising of the previously mentioned four dialects as well as modern standard Arabic. Arabic Speech Recognition: We introduce our effort in building Arabic automatic speech recognition (ASR) and we create an open research community to advance it. This section has two main goals: First, creating a framework for Arabic ASR that is publicly available for research. We address our effort in building two multi-genre broadcast (MGB) challenges. MGB-2 focuses on broadcast news using more than 1,200 hours of speech and 130M words of text collected from the broadcast domain. MGB-3, however, focuses on dialectal multi-genre data with limited non-orthographic speech collected from YouTube, with special attention paid to transfer learning. Second, building a robust Arabic ASR system and reporting a competitive word error rate (WER) to use it as a potential benchmark to advance the state of the art in Arabic ASR. Our overall system is a combination of five acoustic models (AM): unidirectional long short term memory (LSTM), bidirectional LSTM (BLSTM), time delay neural network (TDNN), TDNN layers along with LSTM layers (TDNN-LSTM) and finally TDNN layers followed by BLSTM layers (TDNN-BLSTM). The AM is trained using purely sequence…
Subjects/Keywords: 006.4; Arabic speech research; standardised orthography; Arabic dialects; crowdsourcing; MFCC-SDC; convolutional neural network; deep neural network
…LSTM (BLSTM), time delay neural network (TDNN),
TDNN layers along with… …gram language model
(LM) and a recurrent neural network with maximum entropy (… …Neural network acoustic model . . . . . . . . . . . . . . .
24
Language modelling… …31
3.3.1
Neural network language model . . . . . . . . . . . . . . .
32
3.3.2… …using a crowdsourcing approach to label the dialectal data. This corpus is
to be used in the…
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APA ·
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MLA ·
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to Zotero / EndNote / Reference
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APA (6th Edition):
Ali, A. M. A. M. (2018). Multi-dialect Arabic broadcast speech recognition. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31224
Chicago Manual of Style (16th Edition):
Ali, Ahmed Mohamed Abdel Maksoud. “Multi-dialect Arabic broadcast speech recognition.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed January 25, 2021.
http://hdl.handle.net/1842/31224.
MLA Handbook (7th Edition):
Ali, Ahmed Mohamed Abdel Maksoud. “Multi-dialect Arabic broadcast speech recognition.” 2018. Web. 25 Jan 2021.
Vancouver:
Ali AMAM. Multi-dialect Arabic broadcast speech recognition. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/1842/31224.
Council of Science Editors:
Ali AMAM. Multi-dialect Arabic broadcast speech recognition. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31224
Indian Institute of Science
22.
Vallam, Rohith Dwarakanath.
Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms.
Degree: PhD, Faculty of Engineering, 2018, Indian Institute of Science
URL: http://etd.iisc.ac.in/handle/2005/2955
► Over the past decade, the explosive growth of the Internet has led to a surge of interest to understand and predict aggregate behavior of large…
(more)
▼ Over the past decade, the explosive growth of the Internet has led to a surge of interest to understand and predict aggregate behavior of large number of people or agents, particularly when they are connected through an underlying
network structure. Numerous Internet-based applications have emerged that are as diverse as getting micro-tasks executed through online labor markets (also known as crowd sourcing) to acquiring new skills through massively open online courses (also known as MOOCs). However, there has been a major inadequacy in existing studies with respect to evaluating the impact of strategic behavior of the agents participating in such networks, crowds, and classrooms. The primary focus of this doctoral work is to understand the equilibrium behaviour emerging from these real-world, strategic environments by blending ideas from the areas of game theory, graph theory, and optimization, to derive novel solutions to these new-age economic models. In particular, we investigate the following three research challenges:
(1) How do strategic agents form connections with one another? Will it ever happen that strategically stable networks are social welfare maximizing as well?
(2) How do we design mechanisms for eliciting truthful feedback about an object (perhaps a new product or service or person) from a crowd of strategic raters? What can we tell about these mechanisms when the raters are connected through a social
network?
(3) How do we incentivize better participation of instructors and students in online edu-cation forums? Can we recommend optimal strategies to students and instructors to get the best out of these forums?
Advisors/Committee Members: Narahari, Y (advisor).
Subjects/Keywords: Game Theory; Networks-Strategic Behavior; Crowds-Strategic Behavior; Classrooms-Strategic Behavior; Graph Theory; Organizational Networks; Social Networks; Online Labor Markets; Recommender Systems; Online Classrooms; Massively Open Online Courses (MOOC); Strategic Networks-Localized Payoffs; Crowdsourcing; Crowdsourced Tree Networks; Online Educational Forums; Network Formation with Localized Payoffs (NFLP); Continuous Scoring Rules; Computer Science
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APA ·
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Manager
APA (6th Edition):
Vallam, R. D. (2018). Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2955
Chicago Manual of Style (16th Edition):
Vallam, Rohith Dwarakanath. “Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 25, 2021.
http://etd.iisc.ac.in/handle/2005/2955.
MLA Handbook (7th Edition):
Vallam, Rohith Dwarakanath. “Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms.” 2018. Web. 25 Jan 2021.
Vancouver:
Vallam RD. Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 25].
Available from: http://etd.iisc.ac.in/handle/2005/2955.
Council of Science Editors:
Vallam RD. Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/2955
23.
McAndrew, Thomas Charles.
Weighted Networks: Applications from Power grid construction to crowd control.
Degree: PhD, Mathematical Sciences, 2017, University of Vermont
URL: https://scholarworks.uvm.edu/graddis/668
► Since their discovery in the 1950's by Erdos and Renyi, network theory (the study of objects and their associations) has blossomed into a full-fledged…
(more)
▼ Since their discovery in the 1950's by Erdos and Renyi,
network theory (the study of objects and their associations) has blossomed into a full-fledged branch of mathematics.
Due to the
network's flexibility, diverse scientific problems can be reformulated as networks and studied using a common set of tools.
I define a
network G = (V,E) composed of two parts: (i) the set of objects V, called nodes, and (ii) set of relationships (associations) E, called links, that connect objects in V.
We can extend the classic
network of nodes and links by describing the intensity of these associations with weights.
More formally, weighted networks augment the classic
network with a function f(e) from links to the real line, uncovering powerful ways to model real-world applications.
This thesis studies new ways to construct robust micro powergrids, mine people's perceptions of causality on a social
network, and proposes a new way to analyze
crowdsourcing all in the context of the weighted
network model.
The current state of Earth's ecosystem and intensifying climate calls on scientists to find new ways to harvest clean affordable energy.
A microgrid, or neighborhood-scale powergrid built using renewable energy sources attached to personal homes, suggest one way to ameliorate this energy crisis.
We can study the stability (robustness) of such a small-scale system with weighted networks.
A novel use of weighted networks and percolation theory guides the safe and efficient construction of power lines (links, E) connecting a small set of houses (nodes, V) to one another and weights each power line by the distance between houses.
This new look at the robustness of microgrid structures calls into question the efficacy of the traditional utility.
The next study uses the twitter social
network to compare and contrast causal language from everyday conversation.
Collecting a set of 1 million tweets, we find a set of words (unigrams), parts of speech, named entities, and sentiment signal the use of informal causal language.
Breaking a problem difficult for a computer to solve into many parts and distributing these tasks to a group of humans to solve is called
Crowdsourcing.
My final project asks volunteers to 'reply' to questions asked of them and 'supply' novel questions for others to answer.
I model this 'reply and supply' framework as a dynamic weighted
network, proposing new theories about this
network's behavior and how to steer it toward worthy goals.
This thesis demonstrates novel uses of, enhances the current scientific literature on, and presents novel methodology for, weighted networks.
Advisors/Committee Members: James P. Bagrow, Christopher M. Danforth.
Subjects/Keywords: Causality; Complex Systems; CrowdSourcing; Network Theory; Percolation; Statistical Physics; Applied Mathematics; Social and Behavioral Sciences; Statistics and Probability
…of publishing
on weighted networks, crowdsourcing literature lacks weighted network models… …traditional Markov Decision Approach, my work models
crowdsourcing as a weighted network where links… …the link. In a
novel way, I map the crowdsourcing paradigm onto a weighted network, and can… …5 Conclusion
5.1 Weighted network science . . . . . . . . . . .
5.2 Implications of this… …to Causal perception . . .
5.2.3 Implications to Crowdsourcing . . . . .
5.3 Review…
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APA (6th Edition):
McAndrew, T. C. (2017). Weighted Networks: Applications from Power grid construction to crowd control. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/668
Chicago Manual of Style (16th Edition):
McAndrew, Thomas Charles. “Weighted Networks: Applications from Power grid construction to crowd control.” 2017. Doctoral Dissertation, University of Vermont. Accessed January 25, 2021.
https://scholarworks.uvm.edu/graddis/668.
MLA Handbook (7th Edition):
McAndrew, Thomas Charles. “Weighted Networks: Applications from Power grid construction to crowd control.” 2017. Web. 25 Jan 2021.
Vancouver:
McAndrew TC. Weighted Networks: Applications from Power grid construction to crowd control. [Internet] [Doctoral dissertation]. University of Vermont; 2017. [cited 2021 Jan 25].
Available from: https://scholarworks.uvm.edu/graddis/668.
Council of Science Editors:
McAndrew TC. Weighted Networks: Applications from Power grid construction to crowd control. [Doctoral Dissertation]. University of Vermont; 2017. Available from: https://scholarworks.uvm.edu/graddis/668
. 
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