1,720,975 research outputs found

    Multi-Attribute Decision Making Handover Algorithm for Wireless Body Area Networks

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    In this paper, we tackle the Wireless Body area Network (WBAN) handover issue where a mobile patient has to select at any time the best access technology according to multiple criteria. We particularly focus on the decision schemes and investigate the Multi-Attribute Decision Making (MADM) methods. The fundamental objective of the MADM methods is to determine among a finite set of alternatives the optimal one. Therefore, we propose a Multi-Attribute Decision Making Handover Algorithm (MADMHA) which helps patient’s mobile terminal to dynamically select the best network by providing a ranking order between the list of available candidates. It is a seamless handover approach that guarantees continuous connectivity with respect to the QoS requirements of the WBAN generated traffic types, network history and user preference. Simulation results prove the efficiency of our proposed approach versus the Received Signal Strength Indicator (RSSI) and Data Rate (DR) based handover approaches. Indeed, compared to these latters, MADMHA significantly reduces the packet overhead and the number of handover, while limiting the packet loss ratio

    A Priority based Cross Layer Routing Protocol for healthcare applications

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    Wireless body area networks (WBANs) represent one of the most promising approaches for improving the quality of life, allowing remote patient monitoring and other healthcare applications. Data dissemination and medium access in a WBAN are critical issues that impact the network reliability, the efficiency and the total energy consumed by the network. In this paper, we propose a Priority-based Cross Layer Routing Protocol (PCLRP) along with a Priority Cross Layer Medium Access Channel protocol (PCLMAC) for healthcare applications. PCLRP combined with PCLMAC ensures reliable traffic dissemination and customized channel access for intra- and inter-body communications. Simulation results show that the proposed protocol achieves customized quality of services and outperforms state of the art existing protocols in terms of power consumption, packet delivery ratio and delay

    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

    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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    Gestion de la confiance dans les réseaux véhiculaires

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    L'Internet des Véhicules (IoV) expose des exigences en matière de sécurité et de provisionnement de la confiance. Cette thèse porte sur la conception d’une plateforme de sécurité pour l’IoV qui prend en considération l’aspect de la performance. Nous proposons tout d'abord une plateforme de sécurité basée sur la gestion de la confiance et la Blockchain et qui s’appuie sur des métriques de réputation et de localisation pour valider la fiabilité du système de communication. La Blockchain est utilisée pour protéger les informations de confiance contre la falsification. En outre, nous étendons la plateforme proposée pour mieux prendre en compte l'aspect de la performance tout en renforçant la sécurité. Nous utilisons le regroupement pour construire la plateforme de sécurité étendue. Ensuite, nous proposons un système de détection des intrusions (IDS) léger qui s’appuie sur l'apprentissage fédéré et les métriques de confiance. Nous adoptons une infrastructure IoV basée sur le Software-Defined Networking (SDN) pour construire l'IDS collaboratif. De plus, nous améliorons l'IDS proposé. Nous appliquons le regroupement pour renforcer la détection et les performances globales du réseau. Enfin, nous proposons une solution de routage réactif assisté par drone qui offre un compromis entre la sécurité et la performance. Nous produisons une plateforme IoV-UAV_Fog pour le routage assisté par drone. Le routage proposé consiste à sélectionner le drone optimal maximisant à la fois la confiance et la performance pour servir comme relais.The Internet of Vehicles (IoV) opens up new requirements regarding security, privacy, and trust provisioning. This raises the research question of how trust may be concurrently considered during the design of security solution for the IoV. This thesis addresses this question by designing an IoV security framework that maintains the trust between involved actors. We first propose a trust and Blockchain based framework that relies on reputation and location metrics to validate trustworthiness of the communication system. The Blockchain is leveraged to protect derived trust information from tamper. Next, we extend the proposed framework to better take into account the QoS while enforcing security. We use a clustering scheme to construct the extended framework. Besides, we propose to detect untrustworthy nodes through a lightweight federated learning-based Intrusion Detection System (IDS). We adopt the Software-Defined Networking (SDN)-IoV infrastructure to the network to build the collaborative IDS. The trust features-based detection is proposed along with the SDN to enable a QoS-aware IDS. After that, we proceed to improve the trust-based IDS. We apply multi cluster head concept to boost local detection and overall network performances. Finally, we suggest a reactive Unmanned Aerial Vehicle (UAV)-aided routing solution with security and QoS trade-off. We produce an IoV-UAV_Fog framework for the UAV-aided IoV routing. The proposed routing consists of selecting the optimal UAV relay that maximizes both trust and QoS

    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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