Intelligent Transportation System for Smart-Cities using Fuzzy Logic

According to United Nations population statistics 2017, the world population is 7.6 billion and is growing rapidily alomost 11 billion by end of 21 century with a 70% chance of continued growth, this rapid increasing population have created low standards of living in cities. Smart Cities are facing pressures associated with due innovations and globalization to improve their citizens life. Computational intelligence is the study of adaptive mechanism to facilitate intelligent behavior in changing and complex environments. Traffic congestion and monitoring has become one of the critical issues in big cities. The adaptive mechanism of computational intelligence in changing the behavior of complex environments of smart city is very effective. The developing framework and services for smart-city requires sound infrastructure, latest current technology adoption. A framework model with the integration of cloud-data, social network (SN) services that is collecting stream data with smart sensors in the context of smart cities is proposed. The adaptive mechanism of computational intelligence in changing thebehavior of complex environments of smart city is very effective. A radical framework that enables the analysis of big-data sets stemming from Social Networking (SN) sites. Smart cities understanding is a broad concept only city transportation sector is focused in this article. Fuzzy logic modeling techniques are used in many fields i.e. medical, engineering. business and computing related problems. To solve various traffic management issues in cities a detailed analysis of fuzzy logic system is proposed. This paper presents an analysis of the results achieved using Fuzzy Logic System (FLS) for smart cities. The results are verified using MATLAB Simulation

Data-driven urban management: Mapping the landscape

Big data analytics and artificial intelligence, paired with blockchain technology, the Internet of Things, and other emerging technologies, are poised to revolutionise urban management. With massive amounts of data collected from citizens, devices, and traditional sources such as routine and well-established censuses, urban areas across the world have – for the first time in history – the opportunity to monitor and manage their urban infrastructure in real-time. This simultaneously provides previously unimaginable opportunities to shape the future of cities, but also gives rise to new ethical challenges. This paper provides a transdisciplinary synthesis of the developments, opportunities, and challenges for urban management and planning under this ongoing ‘digital revolution’ to provide a reference point for the largely fragmented research efforts and policy practice in this area. We consider both top-down systems engineering approaches and the bottom-up emergent approaches to coordination of different systems and functions, their implications for the existing physical and institutional constraints on the built environment and various planning practices, as well as the social and ethical considerations associated with this transformation from non-digital urban management to data-driven urban management

Sustainable society:wellbeing and technology - 3 case studies in decision making

Throughout history, technology has provided many and significant improvements to the way we live, but the current pace of development now often exceeds the ability for the full potential of any technological innovation to be explored and implemented before further innovations are introduced. This pace of change results both in missed opportunities for a technology in its ability to contribute to effective solutions in addressing issues such as reducing adverse environmental impact or improving the health of society. In considering the nature of technological innovation and development, the associated engineering design processes can themselves be characterized as being associated with a highly complex, iterative problem-solving exercises, involving the integration and synthesis of a wide range of technologies. This in turn requires the design team to manage trade-offs across a range of primary constraints, as for instance embodied energy in manufacturing, energy consumption in use, capital costs and operating and resource recovery costs. Further investigation into the complexity of societal issues and means for achieving a more effective and fuller utilization of both existing resources and technologies is necessary to place sustainability as a priority of the decision making process. To support discussion and provide context, three case studies are presented. The first case study examines a strategic framework adopting metrics aligned with environmental issues used as proxies for evaluating wellbeing and common good. The second case study examines the specific contribution of eHealth to wellbeing and the balance of technological, societal and political issues in determining outcomes. The third case study considers how technology might be embedded as part of the process of obtaining meta-data from within a small rural community to demonstrate the impact of mitigation strategies associated with the reduction of its carbon footprint, and hence on climate change. In doing so, the paper seeks to bring together issues surrounding environmental problems in relation to a technology driven engineering design process while positioning them in the context of social benefits arising from sustainable decision making.</p

Privacy, security and data protection in smart cities : a critical EU law perspective

"Smart cities" are a buzzword of the moment. Although legal interest is growing, most academic responses at least in the EU, are still from the technological, urban studies, environmental and sociological rather than legal, sectors and have primarily laid emphasis on the social, urban, policing and environmental benefits of smart cities, rather than their challenges, in often a rather uncritical fashion . However a growing backlash from the privacy and surveillance sectors warns of the potential threat to personal privacy posed by smart cities . A key issue is the lack of opportunity in an ambient or smart city environment for the giving of meaningful consent to processing of personal data; other crucial issues include the degree to which smart cities collect private data from inevitable public interactions, the "privatisation" of ownership of both infrastructure and data, the repurposing of “big data” drawn from IoT in smart cities and the storage of that data in the Cloud. This paper, drawing on author engagement with smart city development in Glasgow as well as the results of an international conference in the area curated by the author, argues that smart cities combine the three greatest current threats to personal privacy, with which regulation has so far failed to deal effectively; the Internet of Things(IoT) or "ubiquitous computing"; "Big Data" ; and the Cloud. It seeks solutions both from legal institutions such as data protection law and from "code", proposing in particular from the ethos of Privacy by Design, a new "social impact assessment" and new human:computer interactions to promote user autonomy in ambient environments

The political philosophy of surveillance : from historical roots to COVID-19

Many theorists have argued that surveillance has become the dominant organizing method of social activities in late modernity. Given the increased prevalence and employment of surveillance systems around the world, this thesis seeks to trace and contextualize the developments in surveillance, both theoretically and practically, that have led to its current extent and nature. We begin by analyzing the philosophical theories that provide the normative frameworks which condone, recommend, limit and make it meaningful. This comprises Jeremy Bentham’s “Panopticon,” Michel Foucault’s “Disciplinary Societies” and “Panopticism,” Fredrick Winslow Taylor’s “Scientific Management,” and Gilles Deleuze’s “Societies of Control.” Next, we describe the difference that digital technologies make to surveillance systems, namely that the former greatly enhance the latter’s ubiquity. As we shall see, COVID-19 is an important subject of analysis regarding surveillance since it has triggered an acceleration of technological development and influence. This second chapter will hence examine surveillance on three levels, describing the contexts in which surveillance has developed in each level, and how it is developing as a response to the COVID-19 pandemic. The first concerns surveillance on a National Level, with a focus on government surveillance. The second involves surveillance on a City Level, including smart city operations and workplace surveillance, and the third assesses surveillance on a Personal Level, covering social media surveillance and smart home technology. In the final chapter, we underscore certain aspects of modern surveillance practices where either Bentham, Foucault, Taylor, or Deleuze’s principles are implicit. For social media surveillance, we also draw from Shoshana Zuboff’s concept of “surveillance capitalism”. Lastly, the inherent differences and impact of surveillance operations for the current geopolitical and social order are highlighted, drawing from accounts that shed light on Autocracy’s empowerment with such technology, on Democracy’s increased potential for misuse, and on the likely repercussions of politically and socially employing surveillance systems. The conclusion then argues that surveillance, as it stands, has major potential to inherently and permanently alter the global political and social landscape

The making of smart cities : borders, security and value in New Town Kolkata and Cape Town

The making of smart cities transforms not only infrastructures and practices but also the techniques of urban government and security, and economic processes. This thesis draws on analysis conducted in two research sites: Cape Town, in South Africa and New Town Rajarhat, a satellite township on the outskirts of Kolkata, to present three key arguments. Firstly, and as opposed to mainstream narratives that describe smart cities as seamlessly connected environments, this thesis suggests that urban digitalisation is linked to bordering processes. Whereas critical literature has comprehensively discussed the political implications and risks associated with smart city projects, such as corporatisation and technocratic governance, the specific relations between digital infrastructures and borders, within the urban space, have not yet been discussed. Secondly, this thesis argues that smart cities are inherently security projects, insofar as the deployment of a computing infrastructure of sensing initiates a preemptive apparatus. In security systems, such as the Emergency Policing and Incident Command (EPIC) program in Cape Town, or the Xpresso software for social media monitoring in New Town, algorithms are continuously modelling and acting upon future scenarios; from traffic jams to wildfires, from crime hotspots to citizens’ moods. My third argument is that the computing apparatus of security also serves as an infrastructure of value extraction. Recently, there has been much theorising and debate about security platforms’ economic operations, but the situated modalities in which they extract value from the urban environment remain to be examined. Overall, this thesis points to the socio-spatial, governmental and economic relations that computing infrastructures are generating, or reconfiguring, in the urban environment. These relations articulate distinct processes, including the hierarchisation and control of the urban space, preemptive policies and extractive strategies. Critically analysing these processes allows the registration of the political implications of smart city projects

Explorando ferramentas de modelação digital, aumentada e orientada por dados em engenharia e design de produto

Tools are indispensable for all diligent professional practice. New concepts and possibilities for paradigm shifting are emerging with recent computational technological developments in digital tools. However, new tools from key concepts such as “Big-Data”, “Accessibility” and “Algorithmic Design” are fundamentally changing the input and position of the Product Engineer and Designer. After the context introduction, this dissertation document starts by extracting three pivotal criteria from the Product Design Engineering's State of the Art analysis. In each one of those criteria the new emergent, more relevant and paradigmatic concepts are explored and later on are positioned and compared within the Product Lifecycle Management wheel scheme, where the potential risks and gaps are pointed to be explored in the experience part. There are two types of empirical experiences: the first being of case studies from Architecture and Urban Planning — from the student's professional experience —, that served as a pretext and inspiration for the experiments directly made for Product Design Engineering. First with a set of isolated explorations and analysis, second with a hypothetical experience derived from the latter and, finally, a deliberative section that culminate in a listing of risks and changes concluded from all the previous work. The urgency to reflect on what will change in that role and position, what kind of ethical and/or conceptual reformulations should exist for the profession to maintain its intellectual integrity and, ultimately, to survive, are of the utmost evidence.As ferramentas são indispensáveis para toda a prática diligente profissional. Novos conceitos e possibilidades de mudança de paradigma estão a surgir com os recentes progressos tecnológicos a nível computacional nas ferramentas digitais. Contudo, novas ferramentas originadas sobre conceitos-chave como “Big Data”, “Acessibilidade” e “Design Algorítmico” estão a mudar de forma fundamental o contributo e posição do Engenheiro e Designer de Produto. Esta dissertação, após uma primeira introdução contextual, começa por extrair três conceitos-eixo duma análise ao Estado da Arte actual em Engenharia e Design de Produto. Em cada um desses conceitos explora-se os novos conceitos emergentes mais relevantes e paradigmáticos, que então são comparados e posicionados no círculo de Gestão de Ciclo de Vida de Produto, apontando aí potenciais riscos e falhas que possam ser explorados em experiências. As experiências empíricas têm duas índoles: a primeira de projetos e casos de estudo de arquitetura e planeamento urbanístico — experiência em contexto de trabalho do aluno —, que serviu de pretexto e inspiração para as experiências relacionadas com Engenharia e Design de Produto. Primeiro com uma série de análises e experiências isoladas, segundo com uma formulação hipotética com o compêndio dessas experiências e, finalmente, com uma secção de reflexão que culmina numa série de riscos e mudanças induzidas do trabalho anterior. A urgência em refletir sobre o que irá alterar nesse papel e posição, que género de reformulações éticas e/ou conceptuais deverão existir para que a profissão mantenha a sua integridade intelectual e, em última instância, sobreviva, são bastante evidentes.Mestrado em Engenharia e Design de Produt

The Internet of Things Connectivity Binge: What are the Implications?

Despite wide concern about cyberattacks, outages and privacy violations, most experts believe the Internet of Things will continue to expand successfully the next few years, tying machines to machines and linking people to valuable resources, services and opportunities