1,721,013 research outputs found
WACA WiFi 5-GHz dataset (Camp Nou only)
No full textThis folder contains ONLY the Camp Nou campaign included in the dataset presented in "Sergio Barrachina-Muñoz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)".
Please, refer to the GitHub repository for more details:
https://github.com/sergiobarra/WACA_WiFiAnalyzer
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*** Dataset structure ***
The dataset is composed of 11 scenarios, each with a corresponding folder (campaign duration within brackets):
- 1_RVA: Rice Village Apartments, Houston; Apartment; 15th February 2019; 9600 iterations (~1 day)
- 2_RNG: Rice Networks Group, Houston; Campus office; 19th February 2019; 8750 iterations (~1 day)
- 3_TFA: Technology for All, Houston; Community center; 20th February 2019; 8609 iterations (~1 day)
- 4_FLO: Flo Paris (at Rice Village), Houston; Cafe; 23rd February 2019; 413 iterations (~1 hour)
- 5_VIL: Rice Village parking lot, Houston; Shopping mall; 23rd February 2019; 125 iterations (~20 min)
- 6_FEL: La Sagrera neighborhood, Barcelona; Apartment; 25th March 2019; 59500 iterations (~1 week)
- 7_WNO: Wireless Networking, Barcelona; Campus office; 3rd April 2019; 9600 iterations (~1 day)
- 8_22A: 22@ neighborhood, Barcelona; Office area; 2nd July 2019; 9600 iterations (~1 day)
- 9_GAL: Hotel Gallery, Barcelona; Downtown hotel; 10th July 2019; 9706 iterations (~1 day)
- 10_SAG: Sagrada Familia, Barcelona; Apartment; 11th February 2019; 38192 iterations (~4 days)
- 11_FCB: Camp Nou stadium, Barcelona; Futbol (soccer) Stadium; 4th August; 2001 iterations (~ 5 hours)
*** File format ***
- RSSI measurements are stored in .mat files inside each scenario folder.
- .mat files are named "it__.mat". For instance file "it0251_02-19-19_08-03-09.mat" refers to iteration number 251, initiated on 19th February 2019 at 08:03:09.
- Every .mat file contains 24 arrays 10000x1, one per basic channel, where the ith element represents the RSSI value at sample i (of duration 10 microseconds) inside the iteration (of duration 1 second).
- The RSSI value is given in the units of the MAX2829 transceiver (10-bit values). Please, refer to the transceiver datasheet or to our GitHub repository to see how to convert from 10-bit values to dBm.
- Finally, every scenario folder also contains the "experiment_general.mat". This file is auxiliary and contains different constants of interest related to the configuration of the campaigns.
*** How do I process the dataset? ***
We provide the RSSI measurements for every channel in every scenario. You may generate a Matlab snippet to process the data. Nevertheless, the Matlab code we used in the paper "Sergio Barrachina-Muñoz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)" can be found in the GitHub repository
WACA WiFi 5-GHz dataset
No full textThis folder contains the dataset presented in "Sergio Barrachina-Muñoz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)".
Please, refer to the GitHub repository for more details:
https://github.com/sergiobarra/WACA_WiFiAnalyzer
-------------------------------------------------------------
*** Dataset structure ***
The dataset is composed of 11 scenarios, each with a corresponding folder (campaign duration within brackets):
1_RVA: Rice Village Apartments, Houston; Apartment; 15th February 2019; 9600 iterations (~1 day)
2_RNG: Rice Networks Group, Houston; Campus office; 19th February 2019; 8750 iterations (~1 day)
3_TFA: Technology for All, Houston; Community center; 20th February 2019; 8609 iterations (~1 day)
4_FLO: Flo Paris (at Rice Village), Houston; Cafe; 23rd February 2019; 413 iterations (~1 hour)
5_VIL: Rice Village parking lot, Houston; Shopping mall; 23rd February 2019; 125 iterations (~20 min)
6_FEL: La Sagrera neighborhood, Barcelona; Apartment; 25th March 2019; 59500 iterations (~1 week)
7_WNO: Wireless Networking, Barcelona; Campus office; 3rd April 2019; 9600 iterations (~1 day)
8_22A: 22@ neighborhood, Barcelona; Office area; 2nd July 2019; 9600 iterations (~1 day)
9_GAL: Hotel Gallery, Barcelona; Downtown hotel; 10th July 2019; 9706 iterations (~1 day)
10_SAG: Sagrada Familia, Barcelona; Apartment; 11th February 2019; 38192 iterations (~4 days)
11_FCB: Camp Nou stadium, Barcelona; Futbol (soccer) Stadium; 4th August; 2001 iterations (~ 5 hours)
*** File format ***
RSSI measurements are stored in .mat files inside each scenario folder.
.mat files are named "it__.mat". For instance file "it0251_02-19-19_08-03-09.mat" refers to iteration number 251, initiated on 19th February 2019 at 08:03:09.
Every .mat file contains 24 arrays 10000x1, one per basic channel, where the ith element represents the RSSI value at sample i (of duration 10 microseconds) inside the iteration (of duration 1 second).
The RSSI value is given in the units of the MAX2829 transceiver (10-bit values). Please, refer to the transceiver datasheet or to our GitHub repository to see how to convert from 10-bit values to dBm.
Finally, every scenario folder also contains the "experiment_general.mat". This file is auxiliary and contains different constants of interest related to the configuration of the campaigns.
*** How do I process the dataset? ***
We provide the RSSI measurements for every channel in every scenario. You may generate a Matlab snippet to process the data.
Nevertheless, the Matlab code we used in the paper "Sergio Barrachina-Muñoz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)" can be found in the GitHub repository
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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Full text linkWe 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
GPS Free Coordinate Assignment and Routing in Wireless Sensor Networks
No full textIn this paper we consider the problem of constructing a coordinate system in a sensor network where location information is not available. To this purpose we introduce the Virtual Coordinate assignment protocol (VCap) which defines a virtual coordinate system based on hop distances. As compared to other approaches, VCap is simple and have very little requirements in terms of communication and memory overheads. We compare by simulations the performances of greedy routing using our virtual coordinate system with the one using the physical coordinates. Results show that the virtual coordinate system can be used to efficiently support geographic routin
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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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