1,721,008 research outputs found

    Studio ed implementazione di architetture per l'IoT basate su rete mesh IPv6

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    Questa tesi affronta lo studio e l’implementazione di architetture protocollari alla base dell’imponente sviluppo dell’Internet of Things. Si sono studiati ed implementati standard a tutti i livelli della pila protocollare, partendo dall’802.15.4 del basso livello, l’RDC per la gestione del risparmio energetico della radio, il 6LowPAN, il μIPv6 con protocollo di routing RPL ed UDP per il trasporto dei dati raccolti tramite applicativi http o CoAP. Si propone inoltre un protocollo per la gestione dell’aggiornamento del firmware over the air (FOTA) che consente di dare ulteriore flessibilità nello sviluppo e nella gestione delle potenziali installazioni. Sfruttando l’architettura sviluppata, si sono implementati innovativi sistemi di localizzazione indoor a basso costo, applicazioni per le Smart Cities, altre per l’agricoltura di precisione ed infine si è creato un ambiente di test Smart da esportare ed utilizzare per sistemi di Ambient Assisted Living integrati con strumenti per l’automazione domestica. Le performance dell’architettura sviluppata soddisfano a pieno i requisiti di scalabilità, interoperabilità, autoinstallazione ed automantenimento che una WSN per l’IoT deve garantire, inoltre i consumi dei dispositivi risultano anch’essi conformi alle aspettative di vita dell’ordine dei diversi mesi o anni che i sensori devono avere.This thesis deals with the study and implementation of protocol architectures at the base of the impressive development of the Internet of Things. The implemented protocols are standard on all levels of the protocol stack, starting from 802.15.4 the low level, the DRC for the power management of the radio, the 6LoWPAN, the μIPv6 with RPL routing protocol and UDP are designed and implemented for transporting data collected through http or COAP application. It is also proposed a protocol for the management of the firmware update over the air (FOTA) that allows to give further flexibility in the development and management of potential installations. Taking advantage of the architecture developed, I have implemented an innovative and low cost indoor location systems , applications for Smart Cities, a prototype for precision agricolture and finally a Smart environment test is created to test and prove the interoperation between Ambient Assisted Living systems with integrated tools for home automation. The performance of the developed architecture fully meet the scalability requirements, interoperability, auto-installation and selfmaintenance that a WSN for the IoT must have. It also ensures a low power consumption of the devices that comply with the expected lifetime of several months or years that the sensors must have

    Personalized Beauty: How Clinical Insights Shape Tailored Aesthetic Treatments

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    Aesthetic procedures have advanced significantly, transcending mere vanity to become practical tools for enhancing well-being. The diversity of available aesthetic treatments and products can make it challenging for both professionals and consumers. Consequently, the field of aesthetics has begun to incorporate AI techniques. The scope of this article is to evaluate the effects of various cosmetic procedures using the T•modella 5.0 machine and assess their effectiveness. We gathered data from 11 aesthetic centres and 36 subjects with different body constitutions (normal, overweight and obese). This is a prospective, multicenter, interventional study designed to assess the impact of the procedures on the participants. Clustering methods were used to analyse the results, identify trends and evaluate the efficacy. Additionally, we developed a novel algorithm that tailors cosmetic treatment regimens according to the unique physiological characteristics of each patient. The initial weight of patients has been found to influence the efficacy of treatments. Significant improvements have been observed in obese individuals, with reductions of 6% in hip circumference, 8% in waist circumference, and a decrease in fat mass. In contrast, overweight and normal-weight individuals exhibited less consistent outcomes, with results influenced by external factors such as stress, physical exercise, and medication. By utilising clustering techniques, we were able to move beyond traditional weight-based analyses. Based on these findings, we developed a recommendation system that can be integrated into treatment devices to optimise both clinical and aesthetic results

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

    Embedded Real-Time Vehicle and Pedestrian Detection Using a Compressed Tiny YOLO v3 Architecture

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    Vehicle and pedestrian detection (VaPD) is one of the most critical tasks in an advanced driver assistance system which help the driver to drive safely and save the pedestrian life. VaPD is a typical object detection problem that requires a trade-off among accuracy, speed, and memory consumption. Most existing methods focus on improving detection accuracy, while ignoring VaPD requires real-time detection speed with limited computational resources. Thus, it is of primary importance to study light-weight and real-time VaPD methods for embedded devices, that is hardware platforms with limited computation and memory resources. To deal with these issues, this paper proposes a low-rank (LR) Tiny YOLO v3 architecture that meets the requirements of real-time VaPD on embedded systems. The architecture has been developed starting from Tiny YOLO v3 adopting a convolutional neural network compression technique based on Tucker tensor decomposition, able to reduce the computational complexity of the network. A wide experimentation has been carried out on two embedded platforms, Raspberry Pi 4 and NVIDIA Jetson Nano 2 GB, and two datasets commonly used for VaPD, PASCAL VOC and KITTI dataset, showing the superiority of the LR Tiny YOLO v3 with respect to the state-of-the-art networks in obtaining the best compromise between inference time, accuracy and memory occupancy. Moreover, the proposed architecture meets the requirements of VaPD on embedded systems using only 22% of the memory required by the baseline Tiny YOLO v3 Darknet, and always providing better inference time (36.46 FPS) with only a marginal decrease in accuracy ( \sim 2%)

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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