1,721,037 research outputs found
Personal Hygiene Monitoring Under the Shower Using Wi-Fi Channel State Information
Personal hygiene is often used to measure functional independence, which is how much support someone requires to perform self-care. By extension, this is often used in the monitoring of (early-stage) dementia. Current technologies are based on either audiovisual or wearable technologies, both of which have practical limitations. The use of (NLOS) radio-frequency based human activity recognition could provide solutions here. This paper leverages the 802.11n channel state information to monitor different shower-related activities (e.g. washing head or body, brushing teeth, and dressing up) and the degree to which some of these can be monitored, as well estimating different water pressures used while showering for multiple locations in the apartment. Wavelet denoising is applied for filtering and a convolutional neural network is implemented forclassification. Results imply that for coarse-grained activity recognition, an F1-score of 0.85 is achievable for certain classes, while for fine-grained this drops to 0.75. Water pressure estimation ranges from 0.75 to 0.85 between fine-grained and coarse-grained, respectively. Overall, this paper shows that channel state information can be successfully employed to monitor variations in different shower activities, as well as successfully estimating the water pressure inthe shower
QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT Networks
WiFi, a widely used technology in IoT, provides QoS through IEEE 802.11e EDCA Access Categories (AC) which have fixed configuration with strict priorities. This makes WiFi QoS unsuitable to the rising QoS diversity, changing wireless conditions and network dynamics. QoS slicing, where network resources are divided into chinks for diverse QoS requirements, is a potent technology that can provide more flexible, adaptable and highly configurable QoS in WiFi based IoT networks. However, resource management of QoS slices with diverse IoT applications, limited network capacity and varying channel conditions is a complex and challenging task. Traditional queuing theoretic and optimization models become intractable to solve such complex and dynamic problem. Therefore, we have developed a Deep Reinforcement Learning (DRL) based slice resource management scheme to meet IoT QoS requirements in a real world 5GEmpower controlled SDN network. Our proposed scheme outperforms Airtime Excess Round Robin (ATERR) scheme and no slicing-based scheme in terms of slice throughput (QoS) satisfaction. Moreover, our proposed scheme is tested in real world environment and can adapt to the changing slice requirements in an IoT network
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
Distributed topology discovery in the Internet of Things
The process of topology discovery in IoT networks is currently one of the most important issues due to the increasing size of networks.
Traditional centralized approaches provide a good solution to this problem but, as the size of the network increases, they run into scalability problems in addition to the typical problems of centralized solutions, such as the concept of single point of failure and higher computational power required by the central node.
For this reason, in a network where all sensors have the same characteristics in terms of resources and computational capacity, the process of topology discovery should be addressed using a distributed approach through which each node can start and complete autonomously the entire process.
In this work, different criteria were designed to select nodes which are then used to obtain information about the topology. The aim is to understand which method can be the one that allows completing the discovery process in the minimum time, using the minimum number of bytes
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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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