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Carmelo R. García
Institute for Cybernetics, Campus de Tafira, Las Palmas de Gran Canaria, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Spain

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Journal article
Published: 02 June 2020 in Sensors
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This paper expands upon a previous publication and is the natural continuation of an earlier study which presented an industrial validator of expiration codes printed on aluminium or tin cans, called MONICOD. MONICOD is distinguished by its high operating speed, running at 200 frames per second and validating up to 35 cans per second. This paper adds further detail to this description by describing the final stage of the MONICOD industrial validator: the process of effectively validating the characters. In this process we compare the acquired shapes, segmented during the prior stages, with expected character shapes. To do this, we use a template matching scheme (here called “morphologies”) based on bitwise operations. Two learning algorithms for building the valid morphology databases are also presented. The results of the study presented here show that in the acquisition of 9885 frames containing 465 cans to be validated, there was only one false positive (0.21% of the total). Another notable feature is that it is at least 20% faster in validation time with error rates similar to those of classifiers such as support vector machines (SVM), radial base functions (RBF), multi-layer perceptron with backpropagation (MLP) and k-nearest neighbours (KNN).

ACS Style

José C. Rodríguez-Rodríguez; Gabriele S. De Blasio; Carmelo R. García; Alexis Quesada-Arencibia. A Very High-Speed Validation Scheme Based on Template Matching for Segmented Character Expiration Codes on Beverage Cans. Sensors 2020, 20, 1 .

AMA Style

José C. Rodríguez-Rodríguez, Gabriele S. De Blasio, Carmelo R. García, Alexis Quesada-Arencibia. A Very High-Speed Validation Scheme Based on Template Matching for Segmented Character Expiration Codes on Beverage Cans. Sensors. 2020; 20 (11):1.

Chicago/Turabian Style

José C. Rodríguez-Rodríguez; Gabriele S. De Blasio; Carmelo R. García; Alexis Quesada-Arencibia. 2020. "A Very High-Speed Validation Scheme Based on Template Matching for Segmented Character Expiration Codes on Beverage Cans." Sensors 20, no. 11: 1.

Conference paper
Published: 15 April 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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Promentor is a solution that advises job seekers how to effectively improve their chances of getting a job in a certain area of interest by focusing on what, at least historically, seems to work best. To this end, Promentor first analyzes previous selection processes, trying to quantitatively evaluate the effective value of the characteristics that the candidates put into play in the selection. With this evaluation, Promentor can estimate the value of a profile of the job seeker who requests advice based on the characteristics that make it up. Promentor then makes a simulation by applying each of the suggestions on the job seeker’s profile exhaustively and evaluating the modified profile. In this way, Promentor identifies which suggestions offer the greatest increase in qualification, and are therefore more recommendable. Promentor is a module of the employment web portal GetaJob.es, which has been developed in parallel and equipped with specific capabilities for collecting the data required by Promentor.

ACS Style

J. C. Rodríguez-Rodríguez; Gabriele S. De Blasio; C. R. García; A. Quesada-Arencibia. A Job-Seeking Advisor Bot Based in Data Mining. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 75 -82.

AMA Style

J. C. Rodríguez-Rodríguez, Gabriele S. De Blasio, C. R. García, A. Quesada-Arencibia. A Job-Seeking Advisor Bot Based in Data Mining. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():75-82.

Chicago/Turabian Style

J. C. Rodríguez-Rodríguez; Gabriele S. De Blasio; C. R. García; A. Quesada-Arencibia. 2020. "A Job-Seeking Advisor Bot Based in Data Mining." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 75-82.

Conference paper
Published: 15 April 2020 in Business Process Management Workshops
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Indoor Positioning Systems (IPS) are an alternative to Global Positioning System (GPS) in those environments where its signal is attenuated. This is one of the main reasons why IPS has been the subject of much research over the last two decades and where different technologies and methods have been used. Among the technologies used in IPS are those that use radio frequency (RF) signals, such as Bluetooth Low Energy (BLE) or Wi-Fi. BLE is widely used in ubiquitous computing and in many applications of the Internet of Things (IoT) mainly due to its low power consumption and because it can provide advanced services to users. The aim of this paper is to provide an overview of the state of the art of BLE-based IPS including its main methods and algorithms.

ACS Style

Gabriele S. de Blasio; A. Quesada-Arencibia; Carmelo R. García; José Carlos Rodríguez-Rodríguez. Bluetooth Low Energy Technology Applied to Indoor Positioning Systems: An Overview. Business Process Management Workshops 2020, 83 -90.

AMA Style

Gabriele S. de Blasio, A. Quesada-Arencibia, Carmelo R. García, José Carlos Rodríguez-Rodríguez. Bluetooth Low Energy Technology Applied to Indoor Positioning Systems: An Overview. Business Process Management Workshops. 2020; ():83-90.

Chicago/Turabian Style

Gabriele S. de Blasio; A. Quesada-Arencibia; Carmelo R. García; José Carlos Rodríguez-Rodríguez. 2020. "Bluetooth Low Energy Technology Applied to Indoor Positioning Systems: An Overview." Business Process Management Workshops , no. : 83-90.

Journal article
Published: 12 July 2019 in Sensors
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Indoor positioning systems (IPS) are used to locate people or objects in environments where the global positioning system (GPS) fails. The commitment to make bluetooth low energy (BLE) technology the leader in IPS and their applications is clear: Since 2009, the Bluetooth Special Interest Group (SIG) has released several improved versions. BLE offers many advantages for IPS, e.g., their emitters or beacons are easily deployable, have low power consumption, give a high positioning accuracy and can provide advanced services to users. Fingerprinting is a popular indoor positioning algorithm that is based on the received signal strength (RSS); however, its main drawbacks are that data collection is a time-consuming and labor-intensive process and its main challenge is that positioning accuracy is affected by various factors. The purpose of this work was to develop a semi-automatic data collection support system in a BLE fingerprinting-based IPS to: (1) Streamline and shorten the data collection process, (2) carry out impact studies by protocol and channel on the static positioning accuracy related to configuration param of the beacons, such as transmission power (Tx) and the advertising interval (A), and their number and geometric distribution. With two types of systems-on-chip (SoCs) integrated in Bluetooth 5 beacons and in two different environments, our results showed that on average in the three BLE advertising channels, the configuration of the highest Tx (+4 dBm) in the beacons produced the best accuracy results. However, the lowest Tx (−20 dBm) did not worsen them excessively (only 11.8%). In addition, in both scenarios, when lowering the density of beacons by around 42.7%–50%, the error increase was only around 8%–9.2%.

ACS Style

Gabriele Salvatore De Blasio; José Carlos Rodríguez-Rodríguez; Carmelo R. García; Alexis Quesada-Arencibia; De Blasio; Rodríguez- Rodríguez; Quesada- Arencibia. Beacon-Related Param of Bluetooth Low Energy: Development of a Semi-Automatic System to Study Their Impact on Indoor Positioning Systems. Sensors 2019, 19, 3087 .

AMA Style

Gabriele Salvatore De Blasio, José Carlos Rodríguez-Rodríguez, Carmelo R. García, Alexis Quesada-Arencibia, De Blasio, Rodríguez- Rodríguez, Quesada- Arencibia. Beacon-Related Param of Bluetooth Low Energy: Development of a Semi-Automatic System to Study Their Impact on Indoor Positioning Systems. Sensors. 2019; 19 (14):3087.

Chicago/Turabian Style

Gabriele Salvatore De Blasio; José Carlos Rodríguez-Rodríguez; Carmelo R. García; Alexis Quesada-Arencibia; De Blasio; Rodríguez- Rodríguez; Quesada- Arencibia. 2019. "Beacon-Related Param of Bluetooth Low Energy: Development of a Semi-Automatic System to Study Their Impact on Indoor Positioning Systems." Sensors 19, no. 14: 3087.

Journal article
Published: 28 June 2019 in Sensors
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In road-based mass transit systems, travel time is a key factor in providing quality of service. This article proposes a method of predicting travel time for this type of transport system. This method estimates travel time by taking into account its historical behaviour, represented by historical profiles, and the current behaviour recorded on the public transport vehicle for which the prediction is to be made. The model uses the k-medoids clustering algorithm to obtain historical travel time profiles. A relevant feature of the model is that it does not require recent travel time data from other vehicles. For this reason, the proposed model may be used in intercity transport contexts in which service planning is carried out according to timetables. The proposed model has been tested with two real cases of intercity public transport routes and from the results obtained we may conclude that, in general, the average error of the predictions is around 13% compared to the observed travel time values.

ACS Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Gabriel De Blasio; Carmelo R. García. Bus Travel Time Prediction Model Based on Profile Similarity. Sensors 2019, 19, 2869 .

AMA Style

Teresa Cristóbal, Gabino Padrón, Alexis Quesada-Arencibia, Francisco Alayón, Gabriel De Blasio, Carmelo R. García. Bus Travel Time Prediction Model Based on Profile Similarity. Sensors. 2019; 19 (13):2869.

Chicago/Turabian Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Gabriel De Blasio; Carmelo R. García. 2019. "Bus Travel Time Prediction Model Based on Profile Similarity." Sensors 19, no. 13: 2869.

Proceedings
Published: 01 January 2019 in Proceedings
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The current paradigm of intelligent transport systems (ITS) is based on the continuous observation of what is happening in the transport network and the continuous processing of data coming from these observations. This implies the handling and processing of a massive amount of data, and for this reason, data mining and big data are fields increasingly used in transportation engineering. A framework to facilitate the phases of data preparation and knowledge modeling in the context of data mining projects for road-based mass transit systems is presented in this paper. To illustrate the utility of the framework, its utilization in the analysis of travel time in a road-based mass transit system is presented as a use case.

ACS Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Carmelo R. García; Quesada- Arencibia. Data Framework for Road-Based Mass Transit Systems Data Mining Project. Proceedings 2019, 31, 25 .

AMA Style

Teresa Cristóbal, Gabino Padrón, Alexis Quesada-Arencibia, Francisco Alayón, Carmelo R. García, Quesada- Arencibia. Data Framework for Road-Based Mass Transit Systems Data Mining Project. Proceedings. 2019; 31 (1):25.

Chicago/Turabian Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Carmelo R. García; Quesada- Arencibia. 2019. "Data Framework for Road-Based Mass Transit Systems Data Mining Project." Proceedings 31, no. 1: 25.

Proceedings
Published: 01 January 2019 in Proceedings
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In road-based mass transit systems, the travel time is a key factor affecting quality of service. For this reason, to know the behavior of this time is a relevant challenge. Clustering methods are interesting tools for knowledge modeling because these are unsupervised techniques, allowing hidden behavior patterns in large data sets to be found. In this contribution, a study on the utility of different clustering techniques to obtain behavior pattern of travel time is presented. The study analyzed three clustering techniques: K-medoid, Diana, and Hclust, studying how two key factors of these techniques (distance metric and clusters number) affect the results obtained. The study was conducted using transport activity data provided by a public transport operator.

ACS Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Gabriel De Blasio; Carmelo R. García; Quesada- Arencibia; Blasio. A Study on the Behavior of Clustering Techniques for Modeling Travel Time in Road-Based Mass Transit Systems. Proceedings 2019, 31, 18 .

AMA Style

Teresa Cristóbal, Gabino Padrón, Alexis Quesada-Arencibia, Francisco Alayón, Gabriel De Blasio, Carmelo R. García, Quesada- Arencibia, Blasio. A Study on the Behavior of Clustering Techniques for Modeling Travel Time in Road-Based Mass Transit Systems. Proceedings. 2019; 31 (1):18.

Chicago/Turabian Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Gabriel De Blasio; Carmelo R. García; Quesada- Arencibia; Blasio. 2019. "A Study on the Behavior of Clustering Techniques for Modeling Travel Time in Road-Based Mass Transit Systems." Proceedings 31, no. 1: 18.

Proceedings
Published: 01 January 2019 in Proceedings
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Character recognizers have generally focused on printed text on paper with an emphasis on generality rather than speed. This makes the proposed algorithms not applicable in the context of the very high-speed industrial validation of expiration codes printed on the metal surface of a can. The extreme demands of speed and the adverse effects of lighting and movement, among other things, make it necessary to develop an original and specific strategy. The strategy presented in this paper first selects which of the segmented shapes of a printed can are the best candidates for comparison with expected characters. This is followed by a technique based on the comparison of templates (templates matching), which we call “morphologies”, and are represented as bitmaps to take advantage of the hardware capabilities of general-purpose processors. The use of templates has the advantage of avoiding the construction of a feature vector. In an acquisition test in a real industrial plant, we have been able to successfully treat 438 cans in 44 s, with only one validation error in one character, achieving a compromise between speed and quality that is sufficient for industrial validation in the conditions cited.

ACS Style

José Carlos Rodríguez-Rodríguez; Gabriele Salvatore De Blasio; Carmelo R. García; Alexis Quesada-Arencibia; Rodríguez- Rodríguez; Blasio; Quesada- Arencibia. A Character Validation Proposal for High-Speed Visual Monitoring of Expiration Codes on Beverage Cans. Proceedings 2019, 31, 56 .

AMA Style

José Carlos Rodríguez-Rodríguez, Gabriele Salvatore De Blasio, Carmelo R. García, Alexis Quesada-Arencibia, Rodríguez- Rodríguez, Blasio, Quesada- Arencibia. A Character Validation Proposal for High-Speed Visual Monitoring of Expiration Codes on Beverage Cans. Proceedings. 2019; 31 (1):56.

Chicago/Turabian Style

José Carlos Rodríguez-Rodríguez; Gabriele Salvatore De Blasio; Carmelo R. García; Alexis Quesada-Arencibia; Rodríguez- Rodríguez; Blasio; Quesada- Arencibia. 2019. "A Character Validation Proposal for High-Speed Visual Monitoring of Expiration Codes on Beverage Cans." Proceedings 31, no. 1: 56.

Journal article
Published: 17 May 2018 in IEEE Access
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Road-based mass transit systems are an effective means to combat the negative impact of transport that is based on private vehicles. Providing quality of service in this type of transit system is a priority for transport authorities. In these systems, travel time (TT) is a basic factor in quality of service. This paper presents a methodology, based on data mining, for analyzing TT in a mass transit system that is planned by timetable. The objective of the methodology is to understand the behavior patterns of TTs on the different routes of the transport network, as well as the factors that influence these patterns. To achieve this objective, the methodology uses clustering techniques to process the GPS data provided by the vehicles of the public transport fleet. The results that were obtained when implementing this methodology in a public transport company are presented as a use case, demonstrating its validity.

ACS Style

Teresa Cristobal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Carmelo R. Garcia. Systematic Approach to Analyze Travel Time in Road-Based Mass Transit Systems Based on Data Mining. IEEE Access 2018, 6, 32861 -32873.

AMA Style

Teresa Cristobal, Gabino Padrón, Alexis Quesada-Arencibia, Francisco Alayón, Carmelo R. Garcia. Systematic Approach to Analyze Travel Time in Road-Based Mass Transit Systems Based on Data Mining. IEEE Access. 2018; 6 ():32861-32873.

Chicago/Turabian Style

Teresa Cristobal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Carmelo R. Garcia. 2018. "Systematic Approach to Analyze Travel Time in Road-Based Mass Transit Systems Based on Data Mining." IEEE Access 6, no. : 32861-32873.

Journal article
Published: 16 May 2018 in IEEE Access
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Bluetooth Low Energy technology coupled with fingerprinting provides a simple way to position users with high accuracy in indoor environments. In this paper, we study the effect of BLE protocols and channels on indoor positioning using different distance and similarity measures in a controlled environment. With the aim of reproducing a real positioning system situation, we also study the effect of the user’s orientation in the positioning phase and, consequently, provide accuracy and precision results for each orientation. In a 168 m2 testbed, 12 beacons configured to broadcast with the Eddystone and iBeacon protocols were deployed and 40 distance/similarity measures were considered. According to our results, in a specific orientation there is a group of distance metrics coupled with a protocol-channel combination that produces similar accuracy results. Therefore, choosing the right distance metric in that specific orientation is not as critical as choosing the right protocol and, especially, the right channel. There is a trend whereby the protocol-channel combination that provides the best accuracy is almost unique for each orientation. Depending on the orientation, the accuracies obtained for the abovementioned group of distances are within the range of 1.1 m – 1.5 m and the precisions are 90% within the range of 1.5 m – 2.5 m.

ACS Style

Gabriel De Blasio; Alexis Quesada-Arencibia; Carmelo R. Garcia; Roberto Moreno-Diaz; J. C. Rodríguez-Rodríguez. A Protocol-Channel-Based Indoor Positioning Performance Study for Bluetooth Low Energy. IEEE Access 2018, 6, 33440 -33450.

AMA Style

Gabriel De Blasio, Alexis Quesada-Arencibia, Carmelo R. Garcia, Roberto Moreno-Diaz, J. C. Rodríguez-Rodríguez. A Protocol-Channel-Based Indoor Positioning Performance Study for Bluetooth Low Energy. IEEE Access. 2018; 6 (99):33440-33450.

Chicago/Turabian Style

Gabriel De Blasio; Alexis Quesada-Arencibia; Carmelo R. Garcia; Roberto Moreno-Diaz; J. C. Rodríguez-Rodríguez. 2018. "A Protocol-Channel-Based Indoor Positioning Performance Study for Bluetooth Low Energy." IEEE Access 6, no. 99: 33440-33450.

Journal article
Published: 20 February 2018 in Entropy
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The development of efficient mass transit systems that provide quality of service is a major challenge for modern societies. To meet this challenge, it is essential to understand user demand. This article proposes using new time-dependent attributes to represent demand, attributes that differ from those that have traditionally been used in the design and planning of this type of transit system. Data mining was used to obtain these new attributes; they were created using clustering techniques, and their quality evaluated with the Shannon entropy function and with neural networks. The methodology was implemented on an intercity public transport company and the results demonstrate that the attributes obtained offer a more precise understanding of demand and enable predictions to be made with acceptable precision.

ACS Style

Teresa Cristóbal; Gabino Padrón; Javier Lorenzo-Navarro; Alexis Quesada-Arencibia; Carmelo R. García. Applying Time-Dependent Attributes to Represent Demand in Road Mass Transit Systems. Entropy 2018, 20, 133 .

AMA Style

Teresa Cristóbal, Gabino Padrón, Javier Lorenzo-Navarro, Alexis Quesada-Arencibia, Carmelo R. García. Applying Time-Dependent Attributes to Represent Demand in Road Mass Transit Systems. Entropy. 2018; 20 (2):133.

Chicago/Turabian Style

Teresa Cristóbal; Gabino Padrón; Javier Lorenzo-Navarro; Alexis Quesada-Arencibia; Carmelo R. García. 2018. "Applying Time-Dependent Attributes to Represent Demand in Road Mass Transit Systems." Entropy 20, no. 2: 133.

Proceedings
Published: 01 January 2018 in Proceedings
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Blue Low Energy technology is playing an important role nowadays in ubiquitous systems, being the beacons a key element. The configuration of parameters related to the beacons, such as their transmission power or their advertising interval should be studied in order to build fingerprinting indoor positioning systems based on this technology as accurate as possible. In this work, we study the impact and the interplay of those parameters in static indoor positioning as well as the orientation effect in the calibration phase. To reduce the time of data collection, a semi-automatic system is introduced.

ACS Style

Gabriel De Blasio; Alexis Quesada-Arencibia; José Carlos Rodríguez-Rodríguez; Carmelo R. García; Roberto Moreno-Díaz Jr.. Impact of Beacon-Dependent Parameters on Bluetooth Low Energy Indoor Positioning Accuracy. Proceedings 2018, 2, 1223 .

AMA Style

Gabriel De Blasio, Alexis Quesada-Arencibia, José Carlos Rodríguez-Rodríguez, Carmelo R. García, Roberto Moreno-Díaz Jr.. Impact of Beacon-Dependent Parameters on Bluetooth Low Energy Indoor Positioning Accuracy. Proceedings. 2018; 2 (19):1223.

Chicago/Turabian Style

Gabriel De Blasio; Alexis Quesada-Arencibia; José Carlos Rodríguez-Rodríguez; Carmelo R. García; Roberto Moreno-Díaz Jr.. 2018. "Impact of Beacon-Dependent Parameters on Bluetooth Low Energy Indoor Positioning Accuracy." Proceedings 2, no. 19: 1223.

Proceedings
Published: 01 January 2018 in Proceedings
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Travel Time plays a key role in the quality of service in road-based mass transit systems. In this type of mass transit systems, travel time of a public transport line is the sum of the dwell time at each bus stop and the nonstop running time between pair of consecutives bus stops of the line. The aim of the methodology presented in this paper is to obtain the behavior patterns of these times. Knowing these patterns, it would be possible to reduce travel time or its variability to make more reliable travel time predictions. To achieve this goal, the methodology uses data related to check-in and check-out movements of the passengers and vehicles GPS positions, processing this data by Data Mining techniques. To illustrate the validity of the proposal, the results obtained in a case of use in presented.

ACS Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada; Francisco Alayón; Gabriel De Blasio; Carmelo R. García. Using Data Mining to Analyze Dwell Time and Nonstop Running Time in Road-Based Mass Transit Systems. Proceedings 2018, 2, 1217 .

AMA Style

Teresa Cristóbal, Gabino Padrón, Alexis Quesada, Francisco Alayón, Gabriel De Blasio, Carmelo R. García. Using Data Mining to Analyze Dwell Time and Nonstop Running Time in Road-Based Mass Transit Systems. Proceedings. 2018; 2 (19):1217.

Chicago/Turabian Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada; Francisco Alayón; Gabriel De Blasio; Carmelo R. García. 2018. "Using Data Mining to Analyze Dwell Time and Nonstop Running Time in Road-Based Mass Transit Systems." Proceedings 2, no. 19: 1217.

Conference paper
Published: 07 October 2017 in Transactions on Petri Nets and Other Models of Concurrency XV
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In this work, we provide an analysis of BLE channel-separate fingerprinting using different distance and similarity measures. In a 168 m\(^{2}\) testbed, 12 beacons with Eddystone and iBeacon protocols set were deployed, taking into account the orientation of users and considering 10 distance/similarity measures. We have observed that there is an orientation that offers the best positioning performance with the combination of iBeacon protocol, channel 38 and Mahalanobis distance. Taking 8 samples in the online phase, accuracy values obtained are in the range 1.28 m–1.88 m, and precision values are within 1.90 m–3.76 m or less, 90% of the time and depending which orientation the observer is facing.

ACS Style

Gabriel De Blasio; Alexis Quesada-Arencibia; Carmelo R. García; Roberto Moreno-Díaz; Jose Carlos Rodríguez-Rodríguez. Analysis of Distance and Similarity Metrics in Indoor Positioning Based on Bluetooth Low Energy. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 10586, 213 -224.

AMA Style

Gabriel De Blasio, Alexis Quesada-Arencibia, Carmelo R. García, Roberto Moreno-Díaz, Jose Carlos Rodríguez-Rodríguez. Analysis of Distance and Similarity Metrics in Indoor Positioning Based on Bluetooth Low Energy. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; 10586 ():213-224.

Chicago/Turabian Style

Gabriel De Blasio; Alexis Quesada-Arencibia; Carmelo R. García; Roberto Moreno-Díaz; Jose Carlos Rodríguez-Rodríguez. 2017. "Analysis of Distance and Similarity Metrics in Indoor Positioning Based on Bluetooth Low Energy." Transactions on Petri Nets and Other Models of Concurrency XV 10586, no. : 213-224.

Conference paper
Published: 07 October 2017 in Computer Vision
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The quality of service has a main relevance in mass transit systems, being the reliability a key factor for this quality. A system model for the continuous transport data acquisition and computing of these data to improve the quality of service of road mass transit systems is presented in this contribution. This proposal has been conceived to provide services adapted to the needs of the travellers by a continuous monitoring of the transport activity. The data obtained by buses on boarded systems have a special relevance in the proposed model, specially the data provided by the on boarded sensors, such as GPS positioning system. The system model has been applied to analyse the reliability of the operation scheduling of a road mass transit operator, and the results of this test are presented in this paper.

ACS Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Carmelo R. García. System Model for a Continuous Improvement of Road Mass Transit. Computer Vision 2017, 10586, 207 -212.

AMA Style

Teresa Cristóbal, Gabino Padrón, Alexis Quesada-Arencibia, Francisco Alayón, Carmelo R. García. System Model for a Continuous Improvement of Road Mass Transit. Computer Vision. 2017; 10586 ():207-212.

Chicago/Turabian Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Carmelo R. García. 2017. "System Model for a Continuous Improvement of Road Mass Transit." Computer Vision 10586, no. : 207-212.

Conference paper
Published: 07 October 2017 in Computer Vision
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The quality of the time travel prediction is a key factor in the transport of people and goods. This prediction is used in different facets related to management and planning of the transport activity, having special influence in the service quality in public transport. In this paper a methodology to analyse the factors which affect to travel time prediction in routes of road public transport is presented. This methodology uses vehicles GPS data to identify the causes of the travel time variability, georeferencing these causes. The infrastructure elements required, data used and the processing techniques are explained. The methodology was applied to analyse the travel time of a line of a public transport company, presenting the results of this test.

ACS Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Carmelo R. García. Methodology for Analyzing the Travel Time Variability in Public Road Transport. Computer Vision 2017, 10586, 44 -49.

AMA Style

Teresa Cristóbal, Gabino Padrón, Alexis Quesada-Arencibia, Francisco Alayón, Carmelo R. García. Methodology for Analyzing the Travel Time Variability in Public Road Transport. Computer Vision. 2017; 10586 ():44-49.

Chicago/Turabian Style

Teresa Cristóbal; Gabino Padrón; Alexis Quesada-Arencibia; Francisco Alayón; Carmelo R. García. 2017. "Methodology for Analyzing the Travel Time Variability in Public Road Transport." Computer Vision 10586, no. : 44-49.

Conference paper
Published: 07 October 2017 in Transactions on Petri Nets and Other Models of Concurrency XV
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This paper presents a study of the impact of dynamic factors on indoor positioning. A positioning system is presented that provides advanced information services based on two subsystems: Wi-Fi and Bluetooth Low Energy (BLE). The first subsystem was intended to position users with not very high levels of accuracy and precision, but not too far from reality, and the second one was intended to position users with greater precision. It is designed for use in stations and terminals of public transportation systems in which the conditions are “hostile” or unfavourable. Experimental results demonstrate that, using different devices for both offline and online phase, RSS differences, Euclidean distance and comparing fingerprints with Weighted k-Nearest Neighbours (WKNN) algorithm, the system is able to position users with reasonable values of accuracy and precision: for Wi-Fi, with only 3 samples, depending on the orientation and compared with 3 neighbours, an average accuracy between 4.15 and 4.58 m and a precision in the range 4–7 m or less 90% of the time were obtained; for BLE, best accuracy results were obtained by comparison with 2 neighbours, giving a position error of 1.59 m and a CDF value of 2.83 m or less 90% of the time.

ACS Style

Gabriel De Blasio; Alexis Quesada-Arencibia; Carmelo R. García; Jezabel Miriam Molina-Gil; Cándido Caballero-Gil. Study of Dynamic Factors in Indoor Positioning for Harsh Environments. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 10586, 67 -78.

AMA Style

Gabriel De Blasio, Alexis Quesada-Arencibia, Carmelo R. García, Jezabel Miriam Molina-Gil, Cándido Caballero-Gil. Study of Dynamic Factors in Indoor Positioning for Harsh Environments. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; 10586 ():67-78.

Chicago/Turabian Style

Gabriel De Blasio; Alexis Quesada-Arencibia; Carmelo R. García; Jezabel Miriam Molina-Gil; Cándido Caballero-Gil. 2017. "Study of Dynamic Factors in Indoor Positioning for Harsh Environments." Transactions on Petri Nets and Other Models of Concurrency XV 10586, no. : 67-78.

Journal article
Published: 16 June 2017 in Sensors
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Quality is an essential aspect of public transport. In the case of regular public passenger transport by road, punctuality and regularity are criteria used to assess quality of service. Calculating metrics related to these criteria continuously over time and comprehensively across the entire transport network requires the handling of large amounts of data. This article describes a system for continuously and comprehensively monitoring punctuality and regularity. The system uses location data acquired continuously in the vehicles and automatically transferred for analysis. These data are processed intelligently by elements that are commonly used by transport operators: GPS-based tracking system, onboard computer and wireless networks for mobile data communications. The system was tested on a transport company, for which we measured the punctuality of one of the routes that it operates; the results are presented in this article.

ACS Style

Gabino Padrón; Teresa Cristóbal; Francisco Alayón; Alexis Quesada-Arencibia; Carmelo R. García. System Proposal for Mass Transit Service Quality Control Based on GPS Data. Sensors 2017, 17, 1412 .

AMA Style

Gabino Padrón, Teresa Cristóbal, Francisco Alayón, Alexis Quesada-Arencibia, Carmelo R. García. System Proposal for Mass Transit Service Quality Control Based on GPS Data. Sensors. 2017; 17 (6):1412.

Chicago/Turabian Style

Gabino Padrón; Teresa Cristóbal; Francisco Alayón; Alexis Quesada-Arencibia; Carmelo R. García. 2017. "System Proposal for Mass Transit Service Quality Control Based on GPS Data." Sensors 17, no. 6: 1412.

Journal article
Published: 06 June 2017 in Sensors
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This paper presents a study of positioning system that provides advanced information services based on Wi-Fi and Bluetooth Low Energy (BLE) technologies. It uses Wi-Fi for rough positioning and BLE for fine positioning. It is designed for use in public transportation system stations and terminals where the conditions are “hostile” or unfavourable due to signal noise produced by the continuous movement of passengers and buses, data collection conducted in the constant presence thereof, multipath fading, non-line of sight (NLOS) conditions, the fact that part of the wireless communication infrastructure has already been deployed and positioned in a way that may not be optimal for positioning purposes, variable humidity conditions, etc. The ultimate goal is to provide a service that may be used to assist people with special needs. We present experimental results based on scene analysis; the main distance metric used was the Euclidean distance but the Mahalanobis distance was also used in one case. The algorithm employed to compare fingerprints was the weighted k-nearest neighbor one. For Wi-Fi, with only three visible access points, accuracy ranged from 3.94 to 4.82 m, and precision from 5.21 to 7.0 m 90% of the time. With respect to BLE, with a low beacon density (1 beacon per 45.7 m2), accuracy ranged from 1.47 to 2.15 m, and precision from 1.81 to 3.58 m 90% of the time. Taking into account the fact that this system is designed to work in real situations in a scenario with high environmental fluctuations, and comparing the results with others obtained in laboratory scenarios, our results are promising and demonstrate that the system would be able to position users with these reasonable values of accuracy and precision.

ACS Style

Gabriel De Blasio; Alexis Quesada-Arencibia; Carmelo R. García; Jezabel Miriam Molina-Gil; Cándido Caballero-Gil. Study on an Indoor Positioning System for Harsh Environments Based on Wi-Fi and Bluetooth Low Energy. Sensors 2017, 17, 1299 .

AMA Style

Gabriel De Blasio, Alexis Quesada-Arencibia, Carmelo R. García, Jezabel Miriam Molina-Gil, Cándido Caballero-Gil. Study on an Indoor Positioning System for Harsh Environments Based on Wi-Fi and Bluetooth Low Energy. Sensors. 2017; 17 (6):1299.

Chicago/Turabian Style

Gabriel De Blasio; Alexis Quesada-Arencibia; Carmelo R. García; Jezabel Miriam Molina-Gil; Cándido Caballero-Gil. 2017. "Study on an Indoor Positioning System for Harsh Environments Based on Wi-Fi and Bluetooth Low Energy." Sensors 17, no. 6: 1299.

Conference paper
Published: 08 January 2017 in Advances in Intelligent Systems and Computing
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Robotics in education is considered as a powerful tool for motivating and training students. Thanks to its multidisciplinary character, it allows for the development of the contents of a multitude of materials, mainly those related to Science, Technology, Engineering and Mathematics (STEM). This has been demonstrated in many studies and experiences that have been developed around the world over recent years. However, despite the undoubted benefits and the various initiatives, many educational communities have serious difficulties implementing this tool in the development of their curriculums. The purpose of this article is to present Ciberlandia, a real learning experience that responds to these difficulties and helps to extensively promote careers in scientific and technological disciplines for youngsters. This initiative has celebrated 4 editions and has involved 2,480 participants from 53 primary and secondary schools in The Canary Islands.

ACS Style

Jose Carlos Rodríguez Rodríguez; Eduardo Martín-Pulido; Vanesa Jorge Padrón; Jonathan Alemán Alemán; Carmelo R. García; Alexis Quesada-Arencibia. Ciberlandia: An Educational Robotics Program to Promote STEM Careers in Primary and Secondary Schools. Advances in Intelligent Systems and Computing 2017, 440 -454.

AMA Style

Jose Carlos Rodríguez Rodríguez, Eduardo Martín-Pulido, Vanesa Jorge Padrón, Jonathan Alemán Alemán, Carmelo R. García, Alexis Quesada-Arencibia. Ciberlandia: An Educational Robotics Program to Promote STEM Careers in Primary and Secondary Schools. Advances in Intelligent Systems and Computing. 2017; ():440-454.

Chicago/Turabian Style

Jose Carlos Rodríguez Rodríguez; Eduardo Martín-Pulido; Vanesa Jorge Padrón; Jonathan Alemán Alemán; Carmelo R. García; Alexis Quesada-Arencibia. 2017. "Ciberlandia: An Educational Robotics Program to Promote STEM Careers in Primary and Secondary Schools." Advances in Intelligent Systems and Computing , no. : 440-454.