Automatic Multimedia Creation Enriched with Dynamic Conceptual Data

There is a growing gap between the multimedia production and the context centric multimedia services. The main problem is the under-exploitation of the content creation design. The idea is to support dynamic content generation adapted to the user or display profile. Our work is an implementation of a web platform for automatic generation of multimedia presentations based on SMIL (Synchronized Multimedia Integration Language) standard. The system is able to produce rich media with dynamic multimedia content retrieved automatically from different content databases matching the semantic context. For this purpose, we extend the standard interpretation of SMIL tags in order to accomplish a semantic translation of multimedia objects in database queries. This permits services to take benefit of production process to create customized content enhanced with real time information fed from databases. The described system has been successfully deployed to create advanced context centric weather forecasts

Secure and Privacy Driven Energy Data Analytics

PhD thesis in Information technologyRenewable resources are the main energy sources in a smart grid project. In order to ensure the smooth functioning of the smart grid, Information and Communication Technologies (ICT) need to be utilised efficiently. The objective of the SmartNEM project is to effectively utilise the technologies such as Machine Learning, Blockchain and Data Hubs for the aforementioned purpose and at the same time ensure a secured and privacy preserved solution. The data involved in smart grids require high security and it can be sensitive due to the household data which contains personal information. The individuals can be reluctant to share these data due to mistrust and to avoid unnecessary manipulation of the data they provide. In order to overcome this it is necessary to build a trust based framework in which one could ensure data security and data privacy for the data owners to open up their data for data analysis. To achieves this we have proposed an architecture called TOTEM, Token for Controlled Computation, which integrates Blockchain and Big Data technologies. The conventional method of data analysis demands data be moved across the network to the location where the execution happens, however in the TOTEM architecture computational code will be moved to the data owner’s environment where the data is located. The TOTEM is a three layer architecture (Blockchain consortium layer, Storage layer and Computational layer) with two main actors, data provider and data consumer. Data provider provides metadata of the data they own and provide resources for the execution of data. Data consumers will get an opportunity to execute their own code on the data provider´s data. For a controlled computation and to avoid malicious functions an entity called totem is introduced in the architecture. The authorised users should meet the requirements of Totem value for executing their code on the requested data. For live monitoring of the totem value throughout the run time is achieved with the components such as totem manager and updaters in the computational layer. The code must follow a specific format and will undergo preliminary checks with the TOTEM defined SDK and smart contracts deployed by the data providers in the blockchain network. The Extended TOTEM architecture is also proposed to address the additional features when it is needed to combine the results from multiple data providers without sharing the data. This research work focused on the design of the TOTEM architecture and implementation as a proof of concept for the newly introduced components in the architecture. We have also introduced artificial intelligence in the framework to improve core features’ functionality. In the present research, the TOTEM architecture is proposed for the SmartNEM project to utilize the energy data for decision making and figure out the trends or patterns, while maintaining data privacy, data ownership, accountability and traceability. Moreover, the architecture can be extended to other domains such as health, education, etc, where data security and privacy is the key concern in sharing the data

From Alan01 to AlanOnline - A study of the different characteristics of physical media installations and non-material art

This thesis is a study of the characteristics of the presentation media of artwork that can exist in physical and non-material form. Physical in this context refers to physical installations, and non-material is used to define artworks where the designer has little or no control over the presentation media, such as online artwork. I have chosen a set of characteristics, which I have found central to the topic, and my aim is to discover how such characteristics behave in practice. These key concepts are: technical aspects of the presentation media, human computer interaction, interface design, space, spatial narrative, collaborative experience, access, exhibition value, immersion, embodiment, real-world objects and metaphors. The set of characteristics is by no-means all-encompassing, but a selection that I have discovered through conversation with colleagues and professionals and through my personal research. It is also aimed to meet the requirements for the scopes of an MA thesis paper. The characteristics are discussed in reference to practical examples of artistic productions, and through my own work as a member of the production team that created the Alan01 installation and its non-material counterpart AlanOnline, which are used as a case study for this thesis

Lexical selection in spoken word production among Arabic-French bilinguals : a language-specific or nonspecific process?

Tableau d'honneur de la Faculté des études supérieures et postdorales, 2014-2015L’objectif principal de ce mémoire est d’étudier la nature du processus de sélection lexicale chez des bilingues tardifs modérément compétents et locuteurs de deux langues lexicalement distantes : l’Arabe tunisien (AT) et le Français. Dans un premier temps, une base de données psycholinguistique en AT a été créée aux fins du contrôle convenable de variables psycholinguistiques dans la sélection des stimuli en AT. Cette première étude avait aussi pour but de mettre à disposition des chercheurs intéressés par le traitement du langage en Arabe une ressource psycholinguistique nécessaire. Dans la deuxième et principale étude, des bilingues AT-Français ont effectué une tâche d’interférence image-mot dans deux contextes expérimentaux différentes : unilingue (Expérience 1) ou bilingue (Expérience 2). Nos résultats suggèrent que le traitement lexical chez les bilingues est dynamique et modulé par un nombre de facteurs incluant, mais non limités à, la compétence langagière et le contexte langagier de l’expérimentation.The main aim of this master’s thesis was to investigate the nature of the lexical selection process among late moderately proficient bilinguals whose two languages are lexically distant: Tunisian Arabic (TA) and French. As a first step, a psycholinguistic normative database in TA was created to enable proper control of several psycholinguistic variables in the selection of TA stimuli. This first study also aimed to provide researchers interested in Arabic language processing with a much-needed psycholinguistic resource for a spoken variety of Arabic. In the second and main study, TA-French moderately proficient bilinguals performed a picture-word interference task in two different language settings: monolingual (Experiment 1) and bilingual (Experiment 2). Our findings suggest that bilingual lexical processing is dynamic and modulated by a variety of factors including, but not limited to, language proficiency and experimental language setting

Indigenous voices in climate change adaptation

AbstractThis project investigated how the deep knowledge of the Yorta Yorta people can be used to strengthen their participation and influence in the complex national and regional processes that determine how their traditional lands, which are in the highly-contested Murray-Darling Basin, are managed, leading to improved adaptation decisions both for the Yorta Yorta and the wider community.Through discussions with the Yorta Yorta over several years, the approach developed for the project was the creation of a Geographical Information System (GIS) mapping framework containing both Yorta Yorta knowledge and more conventional knowledge. GIS allows for mapping and layering of different types of data, allowing the Yorta Yorta to access and present their knowledge in ways that relate to Western decision-making processes. To do this, the project had four components:1. Development and testing of protocols and methodology for the collection and protection of Yorta Yorta knowledge. This was carried out through an intergenerational process, whereby Yorta Yorta youth were trained in cultural data collection techniques, and they interviewed Elders to capture the knowledge.2. Building of a GIS framework to integrate both the Yorta Yorta knowledge and more conventional data about the climate, hydrology and biodiversity of the Yorta Yorta area. For the first time this pulled together all of the conventional information normally used as a basis for natural resource management decisions. In addition, because the GIS database has been created and is owned by the Yorta Yorta means that they have something of value to bring to the discussions, so that they are able to participate in those discussions on equal terms.3. Exploration of the views of the broader community in the region regarding management of the region and adaptation alternatives through a stakeholder consultation process. The consultation identified the potential for greater use of science as a neutral arbiter in issues such as management of the Murray-Darling Basin, but even more important is the need for genuine, deep, open-minded dialogue with the community at all stages of decision-making, particularly at an early stage before proposals are put forward and views become entrenched.4. Identification of broader lessons for improving adaptation of First Nations communities in Australia from the experience of the Yorta Yorta and other communities around the country, through a national workshop. The key conclusion of the workshop was the urgent need to empower First Nation communities to make their own assessments and decisions on the best ways for them to respond to climate change.The project raised community awareness and knowledge and energised the Yorta Yorta youth to take an interest in their history and culture, and in the climate challenges facing their community. Overall the project has been a successful pilot demonstration of the utility of a GIS database to integrate Indigenous and conventional knowledge for better natural resource management outcomes and the project has increased the knowledge and capacity of the Yorta Yorta to engage in effective natural resource management and decision-making.Please cite this report as:Griggs, D, Lynch, A, Joachim, L, Zhu, X, Adler, C, Bischoff-Mattson, Z, Wang, P, Kestin, T 2013  Indigenous voices in climate change adaptation: Addressing the challenges of diverse knowledge systems in the Barmah-Millewa, National Climate Change Adaptation Research Facility, Gold Coast, pp.71AbstractThis project investigated how the deep knowledge of the Yorta Yorta people can be used to strengthen their participation and influence in the complex national and regional processes that determine how their traditional lands, which are in the highly-contested Murray-Darling Basin, are managed, leading to improved adaptation decisions both for the Yorta Yorta and the wider community.Through discussions with the Yorta Yorta over several years, the approach developed for the project was the creation of a Geographical Information System (GIS) mapping framework containing both Yorta Yorta knowledge and more conventional knowledge. GIS allows for mapping and layering of different types of data, allowing the Yorta Yorta to access and present their knowledge in ways that relate to Western decision-making processes. To do this, the project had four components:Development and testing of protocols and methodology for the collection and protection of Yorta Yorta knowledge. This was carried out through an intergenerational process, whereby Yorta Yorta youth were trained in cultural data collection techniques, and they interviewed Elders to capture the knowledge.Building of a GIS framework to integrate both the Yorta Yorta knowledge and more conventional data about the climate, hydrology and biodiversity of the Yorta Yorta area. For the first time this pulled together all of the conventional information normally used as a basis for natural resource management decisions. In addition, because the GIS database has been created and is owned by the Yorta Yorta means that they have something of value to bring to the discussions, so that they are able to participate in those discussions on equal terms.Exploration of the views of the broader community in the region regarding management of the region and adaptation alternatives through a stakeholder consultation process. The consultation identified the potential for greater use of science as a neutral arbiter in issues such as management of the Murray-Darling Basin, but even more important is the need for genuine, deep, open-minded dialogue with the community at all stages of decision-making, particularly at an early stage before proposals are put forward and views become entrenched.Identification of broader lessons for improving adaptation of First Nations communities in Australia from the experience of the Yorta Yorta and other communities around the country, through a national workshop. The key conclusion of the workshop was the urgent need to empower First Nation communities to make their own assessments and decisions on the best ways for them to respond to climate change.The project raised community awareness and knowledge and energised the Yorta Yorta youth to take an interest in their history and culture, and in the climate challenges facing their community. Overall the project has been a successful pilot demonstration of the utility of a GIS database to integrate Indigenous and conventional knowledge for better natural resource management outcomes and the project has increased the knowledge and capacity of the Yorta Yorta to engage in effective natural resource management and decision-making

Designing the interface between research, learning and teaching.

Abstract: This paper’s central argument is that teaching and research need to be reshaped so that they connect in a productive way. This will require actions at a whole range of levels, from the individual teacher to the national system and include the international communities of design scholars. To do this, we need to start at the level of the individual teacher and course team. This paper cites some examples of strategies that focus on what students do as learners and how teachers teach and design courses to enhance research-led teaching. The paper commences with an examination of the departmental context of (art and) design education. This is followed by an exploration of what is understood by research-led teaching and a further discussion of the dimensions of research-led teaching. It questions whether these dimensions are evident, and if so to what degree in design departments, programmes and courses. The discussion examines the features of research-led departments and asks if a department is not research-led in its approach to teaching, why it should consider changing strategies