3,798 research outputs found

    Citizen repertoires of smart urban safety: Perspectives from Rotterdam, the Netherlands

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    This article provides empirical research about the perspectives of citizens of Rotterdam, the Netherlands, on the emergent phenomenon of ‘smart urban safety’, which advocates advanced uses of digital technologies and data for urban safety management, and is gaining currency in thinking about urban futures. While smart cities affect many dimensions of city management, applications to safety management belong to the most controversial, revealing important tensions between disparate perspectives on technology and society in the context of urban living environments. Despite their influence, the concepts of smart cities and smart urban safety are largely unknown to the public. To gain insights into citizens’ perspectives, this study uses smart urban safety vignettes to which participants are invited to respond. Using discourse analytical techniques, their interpretations of safety in the smart city are described, which center on functional designs, express lacking influence over technological developments, and reflect on benefits and risks and on their civic roles vis-à-vis technologically mediated urban safety management. Our article concludes by arguing how these findings complement, but also show limitations to traditional technology acceptance models that are as of yet dominant in research of smart urban safety specifically, and smart cities more generally

    Integration of DERs on power systems: challenges and opportunities

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    The integration of large amounts of distributed energy resources (DERs) as photovoltaic solar generation, micro-cogeneration, electric vehicles, distributed storage or demand response pose new challenges and opportunities on the power sector. In this paper, we review the current trends on: i) how consumers adopting DERs can self-provide energy services and provide other services at system level, ii) what can be expected at distribution networks and how retail markets will evolve with more proactive and market engaged consumers, iii) what are the effects and integration of DERs on wholesale markets, and iv) what are the challenges that DERs pose on cybersecurity and the opportunities for improving system resilience. Several recommendations are given for achieving an efficient integration of DERs. For instance, the design of a comprehensive system of prices and charges and the elimination of existing barriers for market participation are crucial reforms to achieve a level playing field between distributed and centralized resources when providing electricity services. This paper summarizes part of the work developed under the MIT Utility of the Future study

    Citizens, justice and CCTV: democracy, privacy and effective crime prevention

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    Governing with urban big data in the smart city environment: an italian perspective

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    A smart city is more than its mere technological components. From a legal standpoint, smartness means a civic-enabling regulatory environment, access to technological resources, and openness to the political decision-making process. No doubt, the core asset of this socio-technical revolution is the data generated within the urban contest. However, national and EU law does not provide a specific regulation for using this data. Indeed, the next EU data strategy, with the open data and non-personal data legislation and the forthcoming Data Act, aims to promote a more profitable use of urban and local big data. Nonetheless, at present, this latter still misses a consistent approach to this issue. A thorough understanding of the smart city requires, first of all, the reconceptualization of big data in terms of urban data. Existing definitions and studies about this topic converge on the metropolises of East Asia and, sometimes, the USA. Instead, we approach the issues experienced in medium-size cities, focusing on the main Italian ones. Especially in this specific urban environment, data can help provide better services, automatize administrations, and further democratization only if they are understood holistically - as urban data. Cities, moreover, are a comprehensive source of data themselves, both collected from citizens and urban things. Among the various types of data that can be gathered, surveillance recordings play a crucial role. On the one hand, video surveillance is essential for many purposes, such as protecting public property, monitoring traffic, controlling high-security risk areas, and preventing crime and vandalism. From another standpoint, these systems can be invasive towards citizens' rights and freedoms: in this regard, urban data collected from video surveillance systems may be shared with public administrations or other interested entities, only afterward they have been anonymized. Even this process needs to be aligned with the transparency and participation values that inform the city's democracy. Thus, the anonymization process must be fully compliant with data protection legislation, looking for the most appropriate legal basis and assessing all the possible sources of risks to the rights and freedoms of people (DPIA). Urban data, indeed, is a matter of local democracy. The availability of data and the economy of platforms can significantly transform a city's services and geography as well as citizens' lifestyles. However, the participation of citizens to express their views on both the use of urban data for public policy and the regulation of the digital economy is still a challenge. The paper aims to analyze the projects of some Italian cities - including Milan, Rome, and Turin - which have tried to introduce participatory urban data management tools and to highlight the possible challenges of a democratic management of service platforms and data transfer for social and economic development

    Contextualising water use in residential settings: a survey of non-intrusive techniques and approaches

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    Water monitoring in households is important to ensure the sustainability of fresh water reserves on our planet. It provides stakeholders with the statistics required to formulate optimal strategies in residential water management. However, this should not be prohibitive and appliance-level water monitoring cannot practically be achieved by deploying sensors on every faucet or water-consuming device of interest due to the higher hardware costs and complexity, not to mention the risk of accidental leakages that can derive from the extra plumbing needed. Machine learning and data mining techniques are promising techniques to analyse monitored data to obtain non-intrusive water usage disaggregation. This is because they can discern water usage from the aggregated data acquired from a single point of observation. This paper provides an overview of water usage disaggregation systems and related techniques adopted for water event classification. The state-of-the art of algorithms and testbeds used for fixture recognition are reviewed and a discussion on the prominent challenges and future research are also included

    Integrating IoT Analytics into Marketing Decision Making: A Smart Data-Driven Approach

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    With the advent of the Internet of Things (IoT), businesses have gained access to vast amounts of data generated by interconnected devices. Leveraging IoT analytics and marketing intelligence, organizations can extract valuable insights from this data to enhance decision-making processes. This paper presents a comprehensive methodology for data-driven decision-making in the context of IoT analytics and marketing intelligence. A real-time example is used to illustrate the application of this methodology, followed by an inference and discussion of the results. The rise of IoT has enabled real-time data collection from a wide array of interconnected devices, offering unprecedented opportunities for businesses to gain actionable insights. This paper focuses on the intersection of IoT analytics and marketing intelligence, exploring how data-driven decision-making can empower organizations to optimize their marketing strategies, customer experiences, and overall business performance

    Airports, Droneports, and the New Urban Airspace

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    КІБЕРБЕЗПЕКА РОЗУМНИХ МІСТ: СОЦІАЛЬНІ АСПЕКТИ, РИЗИКИ ДЕАНОНІМІЗАЦІЇ І ДОКСІНГУ

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    The digital person - the state of the art and science : a white paper from the 2nd Wolfson - HAT international symposium on the digital person

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    This paper reports the discussion of the 2nd Wolfson/HAT International Symposium on the Digital Person 31 May 2018. The symposium was chaired by Professor Irene Ng, representing the social sciences, Professor Jon Crowcroft, representing the sciences and Professor John Naughton, representing the humanities

    Guest Editorial Special Issue on: Big Data Analytics in Intelligent Systems

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    The amount of information that is being created, every day, is quickly growing. As such, it is now more common than ever to deal with extremely large datasets. As systems develop and become more intelligent and adaptive, analysing their behaviour is a challenge. The heterogeneity, volume and speed of data generation are increasing rapidly. This is further exacerbated by the use of wireless networks, sensors, smartphones and the Internet. Such systems are capable of generating a phenomenal amount of information and the need to analyse their behaviour, to detect security anomalies or predict future demands for example, is becoming harder. Furthermore, securing such systems is a challenge. As threats evolve, so should security measures develop and adopt increasingly intelligent security techniques. Adaptive systems must be employed and existing methods built upon to provide well-structured defence in depth. Despite the clear need to develop effective protection methods, the task is a difficult one, as there are significant weaknesses in the existing security currently in place. Consequently, this special issue of the Journal of Computer Sciences and Applications discusses big data analytics in intelligent systems. The specific topics of discussion include the Internet of Things, Web Services, Cloud Computing, Security and Interconnected Systems
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