126 research outputs found

    Raising awareness for water polution based on game activities using internet of things

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    Awareness among young people regarding the environment and its resources and comprehension of the various factors that interplay, is key to changing human behaviour towards achieving a sustainable planet. In this paper IoT equipment, utilizing sensors for measuring various parameters of water quality, is used in an educational context targeting at a deeper understanding of the use of natural resources towards the adoption of environmentally friendly behaviours. We here note that the use of water sensors in STEM gameful learning is an area which has not received a lot of attention in the previous years. The IoT water sensing and related scenaria and practices, addressing children via discovery, gamification, and educational activities, are discussed in detail

    Scenarios for Educational and Game Activities using Internet of Things Data

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    Raising awareness among young people and changing their behavior and habits concerning energy usage and the environment is key to achieving a sustainable planet. The goal to address the global climate problem requires informing the population on their roles in mitigation actions and adaptation of sustainable behaviors. Addressing climate change and achieve ambitious energy and climate targets requires a change in citizen behavior and consumption practices. IoT sensing and related scenario and practices, which address school children via discovery, gamification, and educational activities, are examined in this paper. Use of seawater sensors in STEM education, that has not previously been addressed, is included in these educational scenaria

    A smartwater metering deployment based on the fog computing paradigm

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    In this paper, we look into smart water metering infrastructures that enable continuous, on-demand and bidirectional data exchange between metering devices, water flow equipment, utilities and end-users. We focus on the design, development and deployment of such infrastructures as part of larger, smart city, infrastructures. Until now, such critical smart city infrastructures have been developed following a cloud-centric paradigm where all the data are collected and processed centrally using cloud services to create real business value. Cloud-centric approaches need to address several performance issues at all levels of the network, as massive metering datasets are transferred to distant machine clouds while respecting issues like security and data privacy. Our solution uses the fog computing paradigm to provide a system where the computational resources already available throughout the network infrastructure are utilized to facilitate greatly the analysis of fine-grained water consumption data collected by the smart meters, thus significantly reducing the overall load to network and cloud resources. Details of the system's design are presented along with a pilot deployment in a real-world environment. The performance of the system is evaluated in terms of network utilization and computational performance. Our findings indicate that the fog computing paradigm can be applied to a smart grid deployment to reduce effectively the data volume exchanged between the different layers of the architecture and provide better overall computational, security and privacy capabilities to the system

    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

    An investigation of the efficacy of face-to-face versus synchronous chat in the generation and development of written drafts in the EAP class

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    The thesis is a study of the early stages of the writing cycle in an English for Academic Purposes (EAP) class at the University of Singapore. The study focuses on a group brainstorming activity prior to the stage of writing the first draft and on the impact of this activity on the students’ first individual drafts. In addition, the study compares two different modes of discussion: face-to-face and online synchronous chat. The comparison is concerned with the interactional patterns of the discussion in the two modes, and with the transfer of content from the discussion to the first written drafts. The use of group brainstorming at the pre-writing stage is a familiar activity in the writing class but researchers have not yet paid much attention to the way in which the ideas generated in the brainstorming activity are transferred to individual written drafts. It is this gap that this dissertation seeks to fill. A question of particular interest is the extent to which knowledge construction in the composition class is accomplished by the individual or by the group. Data were collected from four classes of first-year undergraduate students of Science taught by the researcher. The control group, with 31 members, carried out their brainstorming activity in face-to-face mode, while the experimental group, with 27 members, carried out their brainstorming using a synchronous chat facility. The primary data were the chat scripts, face-to-face transcripts and first writing drafts. Analysis of the discussion data was carried out using a genre-based content analysis model deriving from speech act theory (Sinclair and Coulthard, 1975), rhetorical structure theory (Mann & Thompson 1986, 1988), and more recent work on collaborative writing by Plowman (1993), think-aloud protocols (Smagorinsky, 1991) and collaborative computer-based communication by Garrison and Anderson (2003), among others. The model is used to count the frequency of different ideas according to their rhetorical characteristics in the two conditions (face-to-face and synchronous chat), and to determine whether the ideas were generated by individuals or through group discussion. The analysis then looks at the extent to which the ideas were subsequently reproduced in individual drafts. The frequency analyses are complemented by detailed qualitative analysis of the discussion transcripts and the essays of four students, two from each discussion mode. The results of the analysis suggest that collaborative brainstorming is productive in helping students with the generation and development of ideas for their writing. The findings also suggest that there is a strong link between ownership and use of ideas initiated in the discussion. This tendency is stronger in the chat group than in the face-to-face group. Analysis of the discussion transcripts suggests that this difference is a result of more ideas being initiated in the chat group. In addition to these group differences, the analysis shows that discussion in both modes is characterised by a tendency to seek consensus, with very little argument and negotiation of content. The implications of these findings for the use of group discussion in the writing class are discussed

    Town of Francestown, New Hampshire 2017 annual reports of the officials, departments, and committees of the town for the calendar year ending December 31, 2017.

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    This is an annual report containing vital statistics for a town/city in the state of New Hampshire
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