15 research outputs found

    A Cloud Based Disaster Management System

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    The combination of wireless sensor networks (WSNs) and 3D virtual environments opens a new paradigm for their use in natural disaster management applications. It is important to have a realistic virtual environment based on datasets received from WSNs to prepare a backup rescue scenario with an acceptable response time. This paper describes a complete cloud-based system that collects data from wireless sensor nodes deployed in real environments and then builds a 3D environment in near real-time to reflect the incident detected by sensors (fire, gas leaking, etc.). The system’s purpose is to be used as a training environment for a rescue team to develop various rescue plans before they are applied in real emergency situations. The proposed cloud architecture combines 3D data streaming and sensor data collection to build an efficient network infrastructure that meets the strict network latency requirements for 3D mobile disaster applications. As compared to other existing systems, the proposed system is truly complete. First, it collects data from sensor nodes and then transfers it using an enhanced Routing Protocol for Low-Power and Lossy Networks (RLP). A 3D modular visualizer with a dynamic game engine was also developed in the cloud for near-real time 3D rendering. This is an advantage for highly-complex rendering algorithms and less powerful devices. An Extensible Markup Language (XML) atomic action concept was used to inject 3D scene modifications into the game engine without stopping or restarting the engine. Finally, a multi-objective multiple traveling salesman problem (AHP-MTSP) algorithm is proposed to generate an efficient rescue plan by assigning robots and multiple unmanned aerial vehicles to disaster target locations, while minimizing a set of predefined objectives that depend on the situation. The results demonstrate that immediate feedback obtained from the reconstructed 3D environment can help to investigate what–if scenarios, allowing for the preparation of effective rescue plans with an appropriate management effort.info:eu-repo/semantics/publishedVersio

    A Dynamic Platform for Developing 3D Facial Avatars in a Networked Virtual Environment

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    Avatar facial expression and animation in 3D collaborative virtual environment (CVE) systems are reconstructed through a complex manipulation of muscles, bones, and wrinkles in 3D space. The need for a fast and easy reconstruction approach has emerged in the recent years due to its application in various domains: 3D disaster management, virtual shopping, and military training. In this work we proposed a new script language based on atomic parametric action to easily produce real-time facial animation. To minimize use of the game engine, we introduced script-based component where the user introduces simple short script fragments to feed the engine with a new animation on the fly. During runtime, when an embedded animation is required, an xml file is created and injected into the game engine without stopping or restarting the engine. The resulting animation method preserves the real-time performance because the modification occurs not through the modification of the 3D code that describes the CVE and its objects but rather through modification of the action scenario that rules when an animation happens or might happen in that specific situation

    Machine learning and mixed reality for smart aviation: applications and challenges

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    The aviation industry is a dynamic and ever-evolving sector. As technology advances and becomes more sophisticated, the aviation industry must keep up with the changing trends. While some airlines have made investments in machine learning and mixed reality technologies, the vast majority of regional airlines continue to rely on inefficient strategies and lack digital applications. This paper investigates the state-of-the-art applications that integrate machine learning and mixed reality into the aviation industry. Smart aerospace engineering design, manufacturing, testing, and services are being explored to increase operator productivity. Autonomous systems, self-service systems, and data visualization systems are being researched to enhance passenger experience. This paper investigate safety, environmental, technological, cost, security, capacity, and regulatory challenges of smart aviation, as well as potential solutions to ensure future quality, reliability, and efficiency

    A community-based ecolodge in the Cubango-Okavango River Basin

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    Angola’s enormous tourism potential has been kept from the world for decades, which the 27-year-long civil war further delayed. And yet, its vast unexplored territory and its underlying need for an economic development paradigm shift places tourism, especially ecotourism, in a privileged position to help the country move away from fossil fuels’ dependency and towards a more diverse economy. The community-based Okavango Wilderness Ecolodge is set within the Cubango-Okavango River Basin that is the lifeline of the world-famous UNESCO World Heritage Okavango Delta—where one of the last strongholds of biodiversity and the ever-expanding world of tourism meet. It intends to provide the tools for a community-focused and conservation-oriented ecolodge strategy for developing countries, capable of empowering communities everywhere to contribute to and benefit from tourism as a means for sustainable development, while protecting biodiversity and raising awareness on the importance of climate resilience

    AI approaches to understand human deceptions, perceptions, and perspectives in social media

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    Social media platforms have created virtual space for sharing user generated information, connecting, and interacting among users. However, there are research and societal challenges: 1) The users are generating and sharing the disinformation 2) It is difficult to understand citizens\u27 perceptions or opinions expressed on wide variety of topics; and 3) There are overloaded information and echo chamber problems without overall understanding of the different perspectives taken by different people or groups. This dissertation addresses these three research challenges with advanced AI and Machine Learning approaches. To address the fake news, as deceptions on the facts, this dissertation presents Machine Learning approaches for fake news detection models, and a hybrid method for topic identification, whether they are fake or real. To understand the user\u27s perceptions or attitude toward some topics, this study analyzes the sentiments expressed in social media text. The sentiment analysis of posts can be used as an indicator to measure how topics are perceived by the users and how their perceptions as a whole can affect decision makers in government and industry, especially during the COVID-19 pandemic. It is difficult to measure the public perception of government policies issued during the pandemic. The citizen responses to the government policies are diverse, ranging from security or goodwill to confusion, fear, or anger. This dissertation provides a near real-time approach to track and monitor public reactions toward government policies by continuously collecting and analyzing Twitter posts about the COVID-19 pandemic. To address the social media\u27s overwhelming number of posts, content echo-chamber, and information isolation issue, this dissertation provides a multiple view-based summarization framework where the same contents can be summarized according to different perspectives. This framework includes components of choosing the perspectives, and advanced text summarization approaches. The proposed approaches in this dissertation are demonstrated with a prototype system to continuously collect Twitter data about COVID-19 government health policies and provide analysis of citizen concerns toward the policies, and the data is analyzed for fake news detection and for generating multiple-view summaries

    Draft guidelines concerning E&D issues: The TELSCAN handbook of design guidelines for usability of systems by elderly and disabled drivers and travellers. Version 2

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    Draft guidelines concerning E&D issues: The TELSCAN handbook of design guidelines for usability of systems by elderly and disabled drivers and travellers. Version

    YEARBOOK 2020/2021 Corso di Laurea magistrale in Pianificazione Territoriale, Urbanistica e Paesaggistico-Ambientale | Master of Science in Territorial, Urban, Environmental and Landscape Planning

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    L'Yearbook, bilingue, illustra gli esiti dell'attività didattica 2020/2021 del Corso di Laurea magistrale in Pianificazione Territoriale, Urbanistica e Paesaggistico-Ambientale | Master of Science in Territorial, Urban, Environmental and Landscape Planning

    GEOMATICS FOR EMERGENCY MANAGEMENT PURPOSES:DESIGN OF A GLOBAL GEODATABASE

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    Nowadays, the world is facing disasters on an unprecedented scale: millions of people are affected by natural disasters globally each year and, only in the last decade, more than 80% of all disaster-related deaths were caused by natural hazards. Scientific predictions and evidence indicate that global climate changes are increasing the number of extreme events, creating more frequent and intensified natural hazards such as floods and windstorms. Population growth, urbanization and the inability of poor populations to escape from the vicious cycle of poverty are conditions to foresee that there will most likely be an increase in the number of people who are vulnerable to natural hazards, with a resulting increase of natural disasters and environmental emergencies. In recent years, international preoccupation for disasters and their impacts has intensified and risen closer to the top of the development agenda. For many years, response to disasters was largely confined to emergency relief and short-term life-saving actions. But over the last two decades, the critical importance of disaster preparedness, mitigation, and prevention has been widely recognized. The humanitarian and the United Nations system are therefore called to intensify their efforts to improve their capacity in order to provide support to the countries in need and to be better prepared to intervene. Such request came, amongst others, from the UN General Secretary in various occasions. In the frame of humanitarian operations, the World Food Programme (WFP) of the United Nations is in the front line. The WFP is the biggest UN Agency and responds to more than 120 emergencies per year worldwide. According to the UN reform, WFP is also the leader of logistics for UN and international bodies during emergency response operations. WFP initiated a process to reinforce its capacity to be a leading force in the area of emergency response, improving its Information Management capacity in support to emergency preparedness and response. To do so, an agreement of collaboration with the recently formed Information Technology for Humanitarian Assistance Cooperation and Action (ITHACA) Association has been signed and a joint collaboration started in February 2007. One of the objectives of the collaboration is about the use of Geomatics and Information Technology instruments in the Early Warning and Early Impact analysis field. Many worldwide experiences conducted in this area, show that the use of remote sensing and Geographic Information Systems (GIS) technologies, combined with up-to-date, reliable and easily accessible reference base geographic datasets, constitute the key factor for the success of emergency operations and for developing valuable natural disaster preparedness, mitigation and prevention systems. As a matter of fact, the unique characteristics associated with geographic, or geospatial, information technologies facilitate the integration of scientific, social and economic data through space and time, opening up interesting possibilities for monitoring, assessment and change detection activities, thus enabling better informed interventions in human and natural systems. Besides its proven value, the geospatial information is an expensive resource and needs to be fully utilized to maximize the return on investment required for its generation, management and use. Reuse and sharing of spatial information for multiple purposes is an important approach applied in countries where investment in spatial data collection and in their appropriate management has advanced on the basis of its known asset value. Very substantial economic benefits have been estimated by countries that have moved in the direction of optimizing data reuse. However, it is still relatively easy to find examples of projects and other development activities from around the globe that required expensive recapture of essential spatial data because they were originally captured in unique or non-standard file formats, or perhaps discarded after initial use. Recapture of data has also been undertaken in many cases simply because its prior existence was known only by its originators. The United Nations has not been immune to this problem, both within and between the multitude of entities that make up the Secretariat and its agencies, funds and programmes. Historically, the production and use of geospatial data within the UN entities has been accomplished by its component organizations, according to their individual needs and expertise. This has resulted in multiple efforts, reduced opportunities for sharing and reuse of data, and a unnecessary cost burden for the UN system as a whole. Thus, a framework data development approach has been considered necessary. This has resulted in the proposal that implement an UN Spatial Data Infrastructure (SDI). The term SDI is used to denote the relevant base collection of technologies, policies and institutional arrangements that facilitate the availability of and access to spatial data. A SDI hosts geographic data and attributes, sufficient documentation (metadata), a means to discover, visualize and evaluate the data (catalogues and Web mapping), and some methods to provide access to the geographic data. Beyond this, it will also host additional services or software to support applications of the data. The concept of developing a Spatial Data Infrastructure to fulfil UN data management needs was duly approved by United Nations Geographic Information Working Group (UNGIWG) members in 2005 at their 6th Plenary Meeting in Addis Ababa, in the context of a UN-specific SDI, or UNSDI. The WFP, like all other UN agencies, has been called to develop a Spatial Data Infrastructure, according to the UNGIWG recommendations. Therefore, during the last year the different units of WFP involved in the use of geospatial data worked at defining and implementing a WFP SDI with the aim of contributing at the whole UNSDI project. This effort was coordinated and supported by the ITHACA association. Aim of the study The objective of the conducted research has been to investigate the better solution for collecting and organizing geospatial data within a suitable geodatabase with two main purposes:  to support the WFP SDI effort: the development of consistent reusable themes of base cartographic content, known as Framework, Fundamental or Core Data, is recognized as a main and first ingredient in the construction of a SDI. Therefore, the definition of a geodatabase supporting all the WFP units dealing with GIS and geospatial data can be considered a fundamental and necessary step in the whole complex process of the development of the WFP SDI. Common used data provide key for the integration and, in the context of the SDI implementation, the definition of a Core Data geodatabase can be thought as one instrumentality to help improving interoperability, reducing expenses resulting from the inevitable duplications. Moreover, the major aim of the planned geodatabase is to supply all WFP users of a "minimum spatial dataset" which assures valuable geographic analyses and mapping, in support to decision makers during emergencies operations.  to support all activities carried out by ITHACA: the planned geodatabase must constitute a suitable instrument which realizes the integration and the organization of the large geospatial data needed by all ITHACA units in their activities, allowing their effective distribution, sharing and reuse, avoiding any duplication. Moreover, the implemented solution must also guarantee the correct management and updating of the data, keeping their integrity. Finally, this instrument must also allow the easy and fast sharing of necessary information produced by ITHACA during Early Impact activities with the WFP's users engaged in the emergencies rescue operations. In conclusion, the major expected output of the study carried out, described in this thesis, has been the design and the development of a global database and of related rules and procedures in order to correctly store, manage, and exchange geospatial data needed either by WFP humanitarian workers and ITHACA users. The developed database solution allows integrating and updating globally consistent geographic data coming from different sources in many formats, providing each user with the latest datasets, thus avoiding duplications and mistakes. In methodological terms, the following procedure has been adopted: - defining requirements, identification of all activities supported by the geodatabase, analysis of the data flows expected in all supported activities, examining existing data sources and relevant standards (particularly those proposed by the UNGIWG); - development of the data model. The data model has been shaped according to specific needs and demands of the involved user groups within the different interested organizations. The adopted design techniques do not wander off the techniques proposed in literature for general database design, even if it has been necessary, in some steps, to consider the specific features of geographic data; - geodatabase schema generation and implementation of the defined geographic database model as an ESRI ArcSDE Enterprise Geodatabase based on Oracle 10g as DBM

    10 Year Anniversary and Sapphire Award Symposium Advertising Placements, January-April 2011

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    10 Year Anniversary and Sapphire Award Symposium Advertising Placements, January-April 2011
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