1,720,992 research outputs found
Urban mobility services based on user virtualization and social IoT
Full text linkSmart cities are characterized by smart heterogeneous devices that can interact and cooperate with each other by exchanging regularly low amounts of data in the context of IoT. Lately, there has been an increasing interest in enhancing the IoT paradigm to support exchange of multimedia data. This paper focuses on the concept of Urban Mobility Services and in particular on proposing a solution to enable best QoS and load balance in a 5G network context. The paper introduces a novel algorithm for MobilIty Services uSer vIrtualizatiON (MISSION). MISSION employs cloud computing and broadcast of multimedia content in order to reduce the network load, the number of interactions, and user device energy consumption. It also relies on rating of network reputation in the 5G heterogeneous network environment and performing network selection in the quest to maximize QoS parameters. The performance of the proposed solution is compared against that of a TraffictYpe-based DifferEntiated Reputation (TYDER) algorithm. This performance was evaluated in terms of QoS parameters such as delay, latency, packet loss and prediction error. The results show how MISSION outperforms TYDER in urban mobility scenario
An IoT-based electronic sniffing for forest fire detection
No full textThe preservation of the natural ecosystem is a topical issue that is receiving increasing attention not only from the scientific community but from the entire world population. Forests and woodlands are the main actors responsible for mitigating climate change, able to absorb significant amounts of carbon dioxide. The preservation of the arboreal areas has been addressed through the adoption of various solutions. This paper proposes a new real-time fire monitoring and detection system based on Digital Mobile Radio (DMR) nodes and a Social Internet of Things (SIoT) platform on which artificial intelligence algorithms have been implemented. The results obtained show the ability to detect the slightest variation in the observed parameters, determining the direction and speed of fire propagation
A social smart city for public and private mobility: A real case study
No full textNowadays, smart city paradigm plays a primary role in the fulfillment of sustainable solutions in the field of urban mobility, both public and private. At the same time, the Internet of Things (IoT) is allowing the development of increasingly advanced solutions for real-time management of collected information related to the management and coexistence of vehicles (i.e., buses, cars, trains, bicycles, etc.) immersed in urban and sub-urban traffic. The Social IoT (SIoT) paradigm adds a relational connotation between objects typical of human relationships. Objects operate as equals and request/provide information among them in the perspective of providing IoT services to users while maintaining their individuality. Social object relationship enables the design of solutions aiming to improve the exchange of information among network nodes in terms of security from malicious attacks external to the so-called social network of objects. In this context, a new SIoT smart city solution is presented in this article: private and public vehicles together with pedestrians are involved in a real-time collection of data to improve the viability of the city in order to suggest new directions and information to citizens to better organize how to live the city. The developed architecture presented in this article is equipped with an artificial intelligence that process collected traffic data and, thanks to machine learning techniques, evaluate the directions and flows undertaken by vehicles and pedestrians on a daily basis. The authors are also presenting an application that allow both citizens to live the city in a better way and municipal authorities to promptly manage traffic flows. The proposed system was installed in a specific area of Cagliari (Italy) and the traffic flows have been compared with daily traffic data monitored before the installation, observing an average gain of up to 35 percent in daily traffic reduction
Enabling a Scalable and Adaptive Cloud Infrastructure for Virtual Users in the Social Internet of Things
No full textThe Internet of Things (IoT) is a global network of intelligent interconnected objects, enabling remote recognition, detection, and control. Through virtualization, these devices exchange knowledge in the Cloud, bridging physical and virtual worlds. However, the rapid growth in connected objects and data production necessitates innovative system designs. While virtualization offers scalability and flexibility, it proves insufficient alone. Recent studies recommend integrating social network concepts into IoT, forming the Social Internet of Things (SIoT). SIoT, mirroring human social networks, enhances smart devices with relational capabilities, addressing challenges in managing the surge in connected devices. This paper introduces the 'Virtual User' concept-an autonomous entity streamlining user-device interactions in the digital realm. The research proposes, elucidates, and evaluates a Cloud infrastructure integrating the Virtual User into the SIoT paradigm. This novel approach offers a modular, extendable, and secure communication platform, marking the first Cloud solution tailored for the Virtual User concept, leveraging SIoT virtualization through containerization and automated service setup processes
Additive Logarithmic Weighting for Balancing Video Delivery over Heterogeneous Networks
Full text linkThe demand of media delivery services has increased with the popularity of social media and with the evolution of the user's devices (i.e., smartphones, laptops, and tablets) pushing towards new contents distribution models. The coexistence of go-live and on-demand media content requires a combined broadcast/unicast delivery model with the efficient management of the wireless access as a key issue. A twofold target needs to be reached: optimizing the load balance among coexisting networks and offering adequate quality of service (QoS) to users. To achieve this target for mobile video service delivery over heterogeneous networks (HetNet) scenarios, this paper proposes a solution based on an additive logarithmic weighting (ALOW) algorithm combining received signal power, network load, packet delay, user's equipment, and user's credit budget. ALOW is optimized by means of a cooperative game theory (GATH) approach. The proposed solution, named ALOWGATH (i.e., ALOW + GATH), has been tested on realistic HetNet scenarios and compared to the state of the art of the network selection and balancing algorithms. Results show an improved performance in terms of throughput, satisfaction index and overall video quality delivered, with reduced computational complexity
Using user's position to improve video multicast subgrouping in 5G NR
No full textThis paper addresses the use of machine learning techniques for the determination of subgroups within 5G networks. Currently, the burden of determining the subgroups falls uniquely on the gNB. The aim of this work is to lighten the computation burden of the gNB in estimating the evaluation of the position and mobility of users, with the ultimate aim of determining the optimal modulation and coding scheme (MCS). This work proposes an innovative approach based on machine learning techniques that are interposed among user and gNB, helping the latter to determine the network configuration. The results obtained show how direct communication between UEs and neural network speeds up the determination of the MCS and the allocation of resources to subgroups within 5G technology
On the Suitability of HbbTV for Unified Smart Home Experience
No full textHybrid broadcast broadband TV (HbbTV) is a standardization initiative aimed at harmonising the broadcast and broadband delivery of entertainment services to consumers through connected TVs, set-top boxes, and multiscreen devices. A smart home (SH) is a suitable home setup where appliances and devices can be automatically controlled remotely from any Internet-connected device. For the seamless integration of a variety of devices within the SH, HbbTV solutions are gaining a pivotal role, acting as a central hub for audio and video broadcasting services, home automation and other devices, including smartphones, tablets and Internet of Things (IoT)-enabled devices. In this context, a standard, compliant and platform independent, solution is preferred as it can enable dynamic environment where heterogeneous devices contribute to the overall user experience. This paper proposes an architecture for the seamless integration of a SH environment with a HbbTV-enabled television set and consumer's handled devices, such as smartphones and tablets, using the HbbTV 2.0.1 Companions Screen and Multimedia Synchronization framework. A complete architectural design and its hardware implementation have been developed and deployed as a proof of concept. Subjective tests based on mean opinion score (MOS) have been conducted to assess the benefits of the proposed system in terms of Quality of Experience (QoE). Results are encouraging and show that the accurate design of hybrid services through HbbTV could lead to satisfactory QoE perceived by users in the fruition of unified TV and SH services. Based on the obtained results, a preferred common configuration of notifications in terms of position, duration, and sound was indicated
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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