793 research outputs found

    The Smart Mobile Application Framework (SMAF) - Exploratory Evaluation in the Smart City Contex

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    What makes mobile apps "smart"? This paper challenges this question by seeking to identify the inherent characteristics of smartness. Starting with the etymological foundations of the term, elements of smart behavior in software applications are extracted from the literature, elaborated and contrasted. Based on these findings we propose a Smart Mobile Application Framework incorporating a set of activities and qualities associated with smart mobile software. The framework is applied to analyze a specific mobile application in the context of Smart Cities and proves its applicability for uncovering the implementation of smart concepts in real-world settings. Hence, this work contributes to research by conceptualizing a new type of application and provides useful insights to practitioners who want to design, implement or evaluate smart mobile applications

    Mobile App Strategies for Cities: Identifying Inhibiting and Contributing Factors

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    In a changing global landscape in which more things than people are connected to the internet, more mobile than fixed broadband subscriptions are active and more than 50% of the world’s population lives in cities, smartphones and the mobile services and apps that run on them are the predominant interface between citizens and the so-called “Smart City”. This however, poses difficulties for cities and local governments that are faced with a plethora of new challenges in a changing public service context. This paper provides four different strategies local governments can take when it comes to thinking about mobile city services, as well as ten inhibiting and contributing factors that can be taken into account when considering an initiative in the volatile mobile sector. These strategies and factors are initial steps in re-thinking what cities should focus on in their efforts to becoming smarter, with mobile as a key starting point. Keywords: Smart Cities, mobile services, mobile apps, urban strategy

    Shared Spatial Regulating in Sharing-Economy Districts

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    Shared Spatial Regulating in Sharing-Economy Districts

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    Internet of things

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    Manual of Digital Earth / Editors: Huadong Guo, Michael F. Goodchild, Alessandro Annoni .- Springer, 2020 .- ISBN: 978-981-32-9915-3Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things(IoT)emergedasaholisticproposaltoenableanecosystemofvaried,heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today’s pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efficient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identified synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth

    Cognitive Hyperconnected Digital Transformation

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    Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business

    Agents and Robots for Reliable Engineered Autonomy

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    This book contains the contributions of the Special Issue entitled "Agents and Robots for Reliable Engineered Autonomy". The Special Issue was based on the successful first edition of the "Workshop on Agents and Robots for reliable Engineered Autonomy" (AREA 2020), co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020). The aim was to bring together researchers from autonomous agents, as well as software engineering and robotics communities, as combining knowledge from these three research areas may lead to innovative approaches that solve complex problems related to the verification and validation of autonomous robotic systems

    A Cryptography-based system for offline collection, verification and accounting of revenue in County governments

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    Thesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Mobile Telecommunication and Innovation at (MSc.MTI) at Strathmore UniversityAn integrated revenue collection system is primarily a cash and receipt management system that incorporates a highly-distributed payment processing system. It enables county governments to consolidate revenue across their operating branches at the end of the day. In the current context of county governments in Kenya, efficient tax collection is highly dependent on validation of payment documents. This has significantly been challenged by the fact that revenue collection has traditionally employed paper-based collection receipts. The research targets to address the challenges of validation of payment receipts in offline revenue collection systems. It supports automation attempts that have been made through the introduction of electronic mobile point of sale terminals. The solution is based on providing an offline model that supports the distributed nature of payment stations. This approach focuses on using cryptography-based techniques to enable offline validation of receipts even in cases of unreliable network connectivity. The aim is to provide a solution that affords ease of both revenue collections for the county governments and payments for the Citizenry while stopping revenue leakages, ensuring reliable verification of payment receipts and maximising of revenue collection by providing reliable accounting reports. The research applies the use of the Waterfall methodology. Waterfall methodology was preferred because it provides better management of timelines and project deliverables. The research lead to the development of a reliable revenue collection system that enables offline receipting and verification of payment receipts in integrated mobile point of sale terminals
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