361,379 research outputs found
Recommended from our members
MAZI Deliverable Report D2.5: – Design, progress and evaluation of the Deptford CreekNet pilot (version 2)
In this deliverable, the second in a series of three, we report on progress in the Creeknet pilot. We describe progress towards tasks identified in the Description of Work (DoW) for Task 2.2, focusing on activities in Year 2 (2017: months 13-24) and look forward to Year 3. The Creeknet pilot consists of four phases. This year, our focus has been on consolidating initial contacts made in Year 1 (Phase 1), and continuing community engagement activities alongside carrying out an initial deployment of the MAZI toolkit with a number of engaged community groups and individuals (Phase 2). In the second half of the year, as the toolkit was developed and an integrated set of tool established these groups and others were invited to engage in further trials, and feedback was gathered to further inform onward development (Phase 3). We have continued with our efforts to build upon existing relationships in Deptford Creek and further afield to help us explore the different ways in which DIY networking in the broadest sense and the use of the MAZI toolkit in particular might help address local challenges. We have reassessed some of our foci through seeking out new opportunities for engagement and trialling the MAZI toolkit. A major activity was planning and running the two day MAZI London Cross-fertilisation symposium. This created the opportunity for Creeknet participants to share their experiences and engage with the other MAZI pilots, bringing together existing community contacts in Deptford Creek, and MAZI partners, and attracted new contributors. Through our activities, working with the emerging MAZI toolkit that evolved through several iterations during the year, we have better understood local circumstances and the complexity involved in the conceptualisation of ‘DIY networking’ - it cannot be assumed to be a single notion. We have identified that both social and technological concerns can restrict its uptake, and consider routes to overcoming these challenges. We provide analysis of work carried out so far, and look towards the future activities
The memory space: Exploring future uses of Web 2.0 and mobile internet through design interventions.
The QuVis Quantum Mechanics Visualization project aims to address challenges
of quantum mechanics instruction through the development of interactive
simulations for the learning and teaching of quantum mechanics. In this
article, we describe evaluation of simulations focusing on two-level systems
developed as part of the Institute of Physics Quantum Physics resources.
Simulations are research-based and have been iteratively refined using student
feedback in individual observation sessions and in-class trials. We give
evidence that these simulations are helping students learn quantum mechanics
concepts at both the introductory and advanced undergraduate level, and that
students perceive simulations to be beneficial to their learning.Comment: 15 pages, 5 figures, 1 table; accepted for publication in the
American Journal of Physic
The memory space: Exploring future uses of Web 2.0 and mobile internet through design interventions.
Exploring Design Space For An Integrated Intelligent System
Understanding the trade-offs available in the design space of intelligent systems is a major unaddressed element in the study of Artificial Intelligence. In this paper we approach this problem in two ways. First, we discuss the development of our integrated robotic system in terms of its trajectory through design space. Second, we demonstrate the practical implications of architectural design decisions by using this system as an experimental platform for comparing behaviourally similar yet architecturally different systems. The results of this show that our system occupies a "sweet spot" in design space in terms of the cost of moving information between processing components
Recommended from our members
Sharing Mobility Data for Planning and Policy Research
A California Public Utilities Commission (CPUC) rulemaking and possible legislative action in 2020 could affect data sharing requirements, with implications for shared mobility providers. The purpose of this brief is to inform this regulatory and legislative decision-making. We solicited policy and planning questions and data needs for shared mobility from within the University of California Institute of Transportation Studies research network. We defined shared mobility as including shared mobility devices, such as e-bikes and e-scooters, and transportation network companies (TNCs). We evaluated whether data shared in accordance with each of six mobility data specifications could be used to support analyses that would answer these questions. We then defined three approaches to data sharing and analysis to address these and other questions, presenting the advantages and disadvantages of each. This brief does not address the full breadth of the questions raised in the CPUC rulemaking nor does it introduce the complexities of this topic. Beyond the scope of this brief are issues of user privacy, the legal authority for sharing data, and contractual or requirements for each possible model of data sharing and analysis
Generating Navigable Semantic Maps from Social Sciences Corpora
It is now commonplace to observe that we are facing a deluge of online
information. Researchers have of course long acknowledged the potential value
of this information since digital traces make it possible to directly observe,
describe and analyze social facts, and above all the co-evolution of ideas and
communities over time. However, most online information is expressed through
text, which means it is not directly usable by machines, since computers
require structured, organized and typed information in order to be able to
manipulate it. Our goal is thus twofold: 1. Provide new natural language
processing techniques aiming at automatically extracting relevant information
from texts, especially in the context of social sciences, and connect these
pieces of information so as to obtain relevant socio-semantic networks; 2.
Provide new ways of exploring these socio-semantic networks, thanks to tools
allowing one to dynamically navigate these networks, de-construct and
re-construct them interactively, from different points of view following the
needs expressed by domain experts.Comment: in Digital Humanities 2015, Jun 2015, Sydney, Australia. Actes de la
Conf{\'e}rence Digital Humanities 2015. arXiv admin note: text overlap with
arXiv:1406.421
Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments
The increased penetration of uncertain and variable renewable energy presents
various resource and operational electric grid challenges. Micro-level
(household and small commercial) demand-side grid flexibility could be a
cost-effective strategy to integrate high penetrations of wind and solar
energy, but literature and field deployments exploring the necessary
information and communication technologies (ICTs) are scant. This paper
presents an exploratory framework for enabling information driven grid
flexibility through the Internet of Things (IoT), and a proof-of-concept
wireless sensor gateway (FlexBox) to collect the necessary parameters for
adequately monitoring and actuating the micro-level demand-side. In the summer
of 2015, thirty sensor gateways were deployed in the city of Managua
(Nicaragua) to develop a baseline for a near future small-scale demand response
pilot implementation. FlexBox field data has begun shedding light on
relationships between ambient temperature and load energy consumption, load and
building envelope energy efficiency challenges, latency communication network
challenges, and opportunities to engage existing demand-side user behavioral
patterns. Information driven grid flexibility strategies present great
opportunity to develop new technologies, system architectures, and
implementation approaches that can easily scale across regions, incomes, and
levels of development
- …