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Luis Augusto Silva is a PhD student in Computer Science.
Language learners often face communication problems when they need to express themselves and do not have the ability to do so. On the other hand, continuous advances in technology are creating new opportunities to improve second language (L2) acquisition through context-aware ubiquitous learning (CAUL) technology. Since vocabulary is the foundation of all language acquisition, this article presents ULearnEnglish, an open-source system to allow ubiquitous English learning focused on incidental vocabulary acquisition. To evaluate our proposal, 15 learners used the developed system, and 10 answered a survey based on the Technology Acceptance Model (TAM). Results indicate a favorable response to the application of incidental learning techniques in combination with the learner context. ULearnEnglish achieved an acceptance rate of 78.66% for the perception of utility, 96% for the perception of ease of use, 86.5% for user context assessment, and 88% for ubiquity. Among its main contributions, this study demonstrates a possible tool for ubiquitous use in the future in language learning; additionally, further studies can use the available resources to develop the system.
Letícia da Silva; Eduardo Neto; Rosemary Francisco; Jorge Barbosa; Luis Silva; Valderi Leithardt. ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary. Electronics 2021, 10, 1692 .
AMA StyleLetícia da Silva, Eduardo Neto, Rosemary Francisco, Jorge Barbosa, Luis Silva, Valderi Leithardt. ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary. Electronics. 2021; 10 (14):1692.
Chicago/Turabian StyleLetícia da Silva; Eduardo Neto; Rosemary Francisco; Jorge Barbosa; Luis Silva; Valderi Leithardt. 2021. "ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary." Electronics 10, no. 14: 1692.
Language learners often face communication problems when they need to express themselves and do not have this ability. On the other hand, continuous advances in technology create new opportunities to improve second language (L2) acquisition through context-aware ubiquitous learning (CAUL) technology. Since vocabulary is the foundation of all language acquisition, this article presents the ULearnEnglish, an open-source system to allow ubiquitous English learning focused on incidental vocabulary acquisition. To evaluate the proposal, 15 learners used the system developed, and 10 answered a survey based on the Technology Acceptance Model (TAM). Results indicate a favorable response to the use of the learner context to assist them in their learning. The ULearnEnglish achieved an acceptance of 78.66% for the perception of the utility, 96% for the perception of ease of use, 86% for user context assessment, and 88% for ubiquity. This study presented a positive response in using the location of users to assist their learning. Among the main contributions, this study demonstrates an opportunity for ubiquity use in future research in language learning. Also, furthers studies can use the source available to evolve the model and system.
Letícia Garcia da Silva; Eduardo Gonçalves de Azevedo Neto; Rosemary Francisco; Jorge Luis Victória Barbosa; Luis Augusto Silva; Valderi Reis Quietinho Leithardt. ULearnEnglish: An open Ubiquitous System for Assisting in the English Vocabulary Learning. 2021, 1 .
AMA StyleLetícia Garcia da Silva, Eduardo Gonçalves de Azevedo Neto, Rosemary Francisco, Jorge Luis Victória Barbosa, Luis Augusto Silva, Valderi Reis Quietinho Leithardt. ULearnEnglish: An open Ubiquitous System for Assisting in the English Vocabulary Learning. . 2021; ():1.
Chicago/Turabian StyleLetícia Garcia da Silva; Eduardo Gonçalves de Azevedo Neto; Rosemary Francisco; Jorge Luis Victória Barbosa; Luis Augusto Silva; Valderi Reis Quietinho Leithardt. 2021. "ULearnEnglish: An open Ubiquitous System for Assisting in the English Vocabulary Learning." , no. : 1.
Currently, there are more than 1.55 million cases of SARS-CoV-2 infection in Spain. Of these, it is estimated that around 45% will present respiratory complications, which represents approximately 620,000 patients who will need respiratory rehabilitation. The health system has no resources for this huge quantity of patients after the hospital discharge to finish the complete recovery and avoid the chronicity of the symptoms. We propose an application named RespiraConNosotros. The application has been created and designed to guide users in performing respiratory rehabilitation exercises, especially for COVID-19 patients, and it also facilitates patient–physiotherapist contact via chat or video calling to help patients. It is accessible for all users and on all devices. All exercises would be guided and supervised by a specialized physiotherapist who suggests, adapts, and guides the exercise according to the function level of each patient. Data obtained was satisfactory; all patients pointed out the easy access, the intuitive format, and the advantage of communicating with an expert. Concerning functional assessment, all participants improved their score on the Borg scale after performing the intervention with the application.This platform would help respiratory patients to make rehabilitation treatments to recover their pulmonary function and to decrease or eliminate the possible complications they have. It never substitutes any prescribed treatment. In conclusion, RespiraConNosotros is a simple, viable, and safe alternative for the improvement and maintenance of respiratory capacity and patient’s functionality affected by COVID-19. It could be used as a complement to face-to-face treatment when the situation allows it.
Beatriz Bermejo-Gil; Fátima Pérez-Robledo; Rocío Llamas-Ramos; Luís Silva; André Sales-Mendes; Valderi Leithardt; Inés Llamas-Ramos. RespiraConNosotros: A Viable Home-Based Telerehabilitation System for Respiratory Patients. Sensors 2021, 21, 3318 .
AMA StyleBeatriz Bermejo-Gil, Fátima Pérez-Robledo, Rocío Llamas-Ramos, Luís Silva, André Sales-Mendes, Valderi Leithardt, Inés Llamas-Ramos. RespiraConNosotros: A Viable Home-Based Telerehabilitation System for Respiratory Patients. Sensors. 2021; 21 (10):3318.
Chicago/Turabian StyleBeatriz Bermejo-Gil; Fátima Pérez-Robledo; Rocío Llamas-Ramos; Luís Silva; André Sales-Mendes; Valderi Leithardt; Inés Llamas-Ramos. 2021. "RespiraConNosotros: A Viable Home-Based Telerehabilitation System for Respiratory Patients." Sensors 21, no. 10: 3318.
Contaminated insulators can have higher surface conductivity, which can result in irreversible failures in the electrical power system. In this paper, the ultrasound equipment is used to assist in the prediction of failure identification in porcelain insulators of the 13.8 kV, 60 Hz pin profile. To perform the laboratory analysis, insulators from a problematic branch are removed after an inspection of the electrical system and are evaluated in the laboratory under controlled conditions. To perform the time series predictions, the stacking ensemble learning model is applied with the wavelet transform for signal filtering and noise reduction. For a complete analysis of the model, variations in its configuration were evaluated. The results of root mean square error (RMSE), mean absolute percentage error (MAPE), mean absolute error (MAE), and coefficient of determination (R 2 ) are presented. To validate the result, a benchmarking is presented with well-established models, such as an adaptive neuro-fuzzy inference system (ANFIS) and long-term short-term memory (LSTM).
Stefano Frizzo Stefenon; Matheus Henrique Dal Molin Ribeiro; Ademir Nied; Viviana Cocco Mariani; Leandro Dos Santos Coelho; Valderi Reis Quietinho Leithardt; Luis Augusto Silva; Laio Oriel Seman. Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting. IEEE Access 2021, 9, 66387 -66397.
AMA StyleStefano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, Viviana Cocco Mariani, Leandro Dos Santos Coelho, Valderi Reis Quietinho Leithardt, Luis Augusto Silva, Laio Oriel Seman. Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting. IEEE Access. 2021; 9 ():66387-66397.
Chicago/Turabian StyleStefano Frizzo Stefenon; Matheus Henrique Dal Molin Ribeiro; Ademir Nied; Viviana Cocco Mariani; Leandro Dos Santos Coelho; Valderi Reis Quietinho Leithardt; Luis Augusto Silva; Laio Oriel Seman. 2021. "Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting." IEEE Access 9, no. : 66387-66397.
The usage of drones is increasingly spreading into new fields of application, ranging from agriculture to security. One of these new applications is sound recording in areas of difficult access. The challenge that arises when using drones for this purpose is that the sound of the recorded sources must be separated from the noise produced by the drone. The intensity of the noise emitted by the drone depends on several factors such as engine power, propeller rotation speed, or propeller type. Noise reduction is thus one of the greatest challenges for the next generations of unmanned aerial vehicles (UAVs) and unmanned aerial systems (UAS). Even though some advances have been made on that matter, drones still produce a considerable noise. In this article, we approach the problem of removing drone noise from single-channel audio recordings using blind source separation (BSS) techniques, and in particular, the singular spectrum analysis algorithm (SSA). Furthermore, we propose an optimization of this algorithm with a spatial complexity of
Francisco Garcia Encinas; Luis Augusto Silva; Andre Sales Mendes; Gabriel Villarrubia Gonzalez; Valderi Reis Quietinho Leithardt; Juan Francisco De Paz Santana. Singular Spectrum Analysis for Source Separation in Drone-Based Audio Recording. IEEE Access 2021, 9, 43444 -43457.
AMA StyleFrancisco Garcia Encinas, Luis Augusto Silva, Andre Sales Mendes, Gabriel Villarrubia Gonzalez, Valderi Reis Quietinho Leithardt, Juan Francisco De Paz Santana. Singular Spectrum Analysis for Source Separation in Drone-Based Audio Recording. IEEE Access. 2021; 9 ():43444-43457.
Chicago/Turabian StyleFrancisco Garcia Encinas; Luis Augusto Silva; Andre Sales Mendes; Gabriel Villarrubia Gonzalez; Valderi Reis Quietinho Leithardt; Juan Francisco De Paz Santana. 2021. "Singular Spectrum Analysis for Source Separation in Drone-Based Audio Recording." IEEE Access 9, no. : 43444-43457.
The application of ubiquitous computing has increased in recent years, especially due to the development of technologies such as mobile computing, more accurate sensors, and specific protocols for the Internet of Things (IoT). One of the trends in this area of research is the use of context awareness. In agriculture, the context involves the environment, for example, the conditions found inside a greenhouse. Recently, a series of studies have proposed the use of sensors to monitor production and/or the use of cameras to obtain information about cultivation, providing data, reminders, and alerts to farmers. This article proposes a computational model for indoor agriculture called IndoorPlant. The model uses the analysis of context histories to provide intelligent generic services, such as predicting productivity, indicating problems that cultivation may suffer, and giving suggestions for improvements in greenhouse parameters. IndoorPlant was tested in three scenarios of the daily life of farmers with hydroponic production data that were obtained during seven months of cultivation of radicchio, lettuce, and arugula. Finally, the article presents the results obtained through intelligent services that use context histories. The scenarios used services to recommend improvements in cultivation, profiles and, finally, prediction of the cultivation time of radicchio, lettuce, and arugula using the partial least squares (PLS) regression technique. The prediction results were relevant since the following values were obtained: 0.96 (R2, coefficient of determination), 1.06 (RMSEC, square root of the mean square error of calibration), and 1.94 (RMSECV, square root of the mean square error of cross validation) for radicchio; 0.95 (R2), 1.37 (RMSEC), and 3.31 (RMSECV) for lettuce; 0.93 (R2), 1.10 (RMSEC), and 1.89 (RMSECV) for arugula. Eight farmers with different functions on the farm filled out a survey based on the technology acceptance model (TAM). The results showed 92% acceptance regarding utility and 98% acceptance for ease of use.
Bruno Martini; Gilson Helfer; Jorge Barbosa; Regina Espinosa Modolo; Marcio da Silva; Rodrigo de Figueiredo; André Mendes; Luís Silva; Valderi Leithardt. IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories. Sensors 2021, 21, 1631 .
AMA StyleBruno Martini, Gilson Helfer, Jorge Barbosa, Regina Espinosa Modolo, Marcio da Silva, Rodrigo de Figueiredo, André Mendes, Luís Silva, Valderi Leithardt. IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories. Sensors. 2021; 21 (5):1631.
Chicago/Turabian StyleBruno Martini; Gilson Helfer; Jorge Barbosa; Regina Espinosa Modolo; Marcio da Silva; Rodrigo de Figueiredo; André Mendes; Luís Silva; Valderi Leithardt. 2021. "IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories." Sensors 21, no. 5: 1631.
There are more than 800 million people in the world with chronic diseases. Many of these people do not have easy access to healthcare facilities for recovery. Telerehabilitation seeks to provide a solution to this problem. According to the researchers, the topic has been treated as medical aid, making an exchange between technological issues such as the Internet of Things and virtual reality. The main objective of this work is to design a distributed platform to monitor the patient’s movements and status during rehabilitation exercises. Later, this information can be processed and analyzed remotely by the doctor assigned to the patient. In this way, the doctor can follow the patient’s progress, enhancing the improvement and recovery process. To achieve this, a case study has been made using a PANGEA-based multi-agent system that coordinates different parts of the architecture using ubiquitous computing techniques. In addition, the system uses real-time feedback from the patient. This feedback system makes the patients aware of their errors so that they can improve their performance in later executions. An evaluation was carried out with real patients, achieving promising results.
Héctor Sánchez San Blas; André Sales Mendes; Francisco García Encinas; Luís Augusto Silva; Gabriel Villarubia González. A Multi-Agent System for Data Fusion Techniques Applied to the Internet of Things Enabling Physical Rehabilitation Monitoring. Applied Sciences 2020, 11, 331 .
AMA StyleHéctor Sánchez San Blas, André Sales Mendes, Francisco García Encinas, Luís Augusto Silva, Gabriel Villarubia González. A Multi-Agent System for Data Fusion Techniques Applied to the Internet of Things Enabling Physical Rehabilitation Monitoring. Applied Sciences. 2020; 11 (1):331.
Chicago/Turabian StyleHéctor Sánchez San Blas; André Sales Mendes; Francisco García Encinas; Luís Augusto Silva; Gabriel Villarubia González. 2020. "A Multi-Agent System for Data Fusion Techniques Applied to the Internet of Things Enabling Physical Rehabilitation Monitoring." Applied Sciences 11, no. 1: 331.
In recent years, maintenance work on public transport routes has drastically decreased in many countries due to difficult economic situations. The various studies that have been conducted by groups of drivers and groups related to road safety concluded that accidents are increasing due to the poor conditions of road surfaces, even affecting the condition of vehicles through costly breakdowns. Currently, the processes of detecting any type of damage to a road are carried out manually or are based on the use of a road vehicle, which incurs a high labor cost. To solve this problem, many research centers are investigating image processing techniques to identify poor-condition road areas using deep learning algorithms. The main objective of this work is to design of a distributed platform that allows the detection of damage to transport routes using drones and to provide the results of the most important classifiers. A case study is presented using a multi-agent system based on PANGEA that coordinates the different parts of the architecture using techniques based on ubiquitous computing. The results obtained by means of the customization of the You Only Look Once (YOLO) v4 classifier are promising, reaching an accuracy of more than 95%. The images used have been published in a dataset for use by the scientific community.
Luís Augusto Silva; Héctor Sanchez San Blas; David Peral García; André Sales Mendes; Gabriel Villarubia González. An Architectural Multi-Agent System for a Pavement Monitoring System with Pothole Recognition in UAV Images. Sensors 2020, 20, 6205 .
AMA StyleLuís Augusto Silva, Héctor Sanchez San Blas, David Peral García, André Sales Mendes, Gabriel Villarubia González. An Architectural Multi-Agent System for a Pavement Monitoring System with Pothole Recognition in UAV Images. Sensors. 2020; 20 (21):6205.
Chicago/Turabian StyleLuís Augusto Silva; Héctor Sanchez San Blas; David Peral García; André Sales Mendes; Gabriel Villarubia González. 2020. "An Architectural Multi-Agent System for a Pavement Monitoring System with Pothole Recognition in UAV Images." Sensors 20, no. 21: 6205.
Data on diagnosis of infection in the general population are strategic for different applications in the public and private spheres. Among them, the data related to symptoms and people displacement stand out, mainly considering highly contagious diseases. This data is sensitive and requires data privacy initiatives to enable its large-scale use. The search for population-monitoring strategies aims at social tracking, supporting the surveillance of contagions to respond to the confrontation with COVID-19. There are several data privacy issues in environments where IoT devices are used for monitoring hospital processes. In this research, we compare works related to the subject of privacy in the health area. To this end, this research proposes a taxonomy to support the requirements necessary to control patient data privacy in a hospital environment. According to the tests and comparisons made between the variables compared, the application obtained results that contribute to the scenarios applied. In this sense, we modeled and implemented an application. By the end, a mobile application was developed to analyze the privacy and security constraints with COVID-19.
Arielle Verri Lucca; Luís Augusto Silva; Rodrigo Luchtenberg; Leonardo Garcez; Xuzeng Mao; Raúl García Ovejero; Ivan Miguel Pires; Jorge Luis Victória Barbosa; Valderi Reis Quietinho Leithardt. A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information. Sensors 2020, 20, 6030 .
AMA StyleArielle Verri Lucca, Luís Augusto Silva, Rodrigo Luchtenberg, Leonardo Garcez, Xuzeng Mao, Raúl García Ovejero, Ivan Miguel Pires, Jorge Luis Victória Barbosa, Valderi Reis Quietinho Leithardt. A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information. Sensors. 2020; 20 (21):6030.
Chicago/Turabian StyleArielle Verri Lucca; Luís Augusto Silva; Rodrigo Luchtenberg; Leonardo Garcez; Xuzeng Mao; Raúl García Ovejero; Ivan Miguel Pires; Jorge Luis Victória Barbosa; Valderi Reis Quietinho Leithardt. 2020. "A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information." Sensors 20, no. 21: 6030.
Smart environments are pervasive computing systems that provide higher comfort levels on daily routines throughout interactions among smart sensors and embedded computers. The lack of privacy within these interactions can lead to the exposure of sensitive data. We present PRIPRO (PRIvacy PROfiles), a management tool that includes an Android application that acts on the user’s smartphone by allowing or blocking resources according to the context, in order to address this issue. Back-end web server processes and imposes a protocol according to the conditions that the user selected beforehand. The experimental results show that the proposed solution successfully communicates with the Android Device Administration framework, and the device appropriately reacts to the expected set of permissions imposed according to the user’s profile with low response time and resource usage.
Jonas Cesconetto; Luís Augusto Silva; Fabricio Bortoluzzi; María Navarro-Cáceres; Cesar A. Zeferino; Valderi R. Q. Leithardt. PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments. Electronics 2020, 9, 1519 .
AMA StyleJonas Cesconetto, Luís Augusto Silva, Fabricio Bortoluzzi, María Navarro-Cáceres, Cesar A. Zeferino, Valderi R. Q. Leithardt. PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments. Electronics. 2020; 9 (9):1519.
Chicago/Turabian StyleJonas Cesconetto; Luís Augusto Silva; Fabricio Bortoluzzi; María Navarro-Cáceres; Cesar A. Zeferino; Valderi R. Q. Leithardt. 2020. "PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments." Electronics 9, no. 9: 1519.
Jonas Cesconetto; Luís Augusto Silva; R. Q. Valderi Leithardt; Maria N. Caceres; Nuno M. Garcia. PRIPRO:Solution for user profile control and management based on data privacy. 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) 2020, 1 .
AMA StyleJonas Cesconetto, Luís Augusto Silva, R. Q. Valderi Leithardt, Maria N. Caceres, Nuno M. Garcia. PRIPRO:Solution for user profile control and management based on data privacy. 2020 15th Iberian Conference on Information Systems and Technologies (CISTI). 2020; ():1.
Chicago/Turabian StyleJonas Cesconetto; Luís Augusto Silva; R. Q. Valderi Leithardt; Maria N. Caceres; Nuno M. Garcia. 2020. "PRIPRO:Solution for user profile control and management based on data privacy." 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1.
Internet of Things (IoT) is an emerging area in which we expect to have billions of devices connected to the Internet by 2020. IoT applications can offer many benefits to environments, society, and the economy through the interconnection and cooperation of smart objects. However, there are many privacy challenges, such as authentication, authorization, and confidentiality of personal data. With this in mind, we developed a solution for dynamically managing user profiles according to the characteristics of each environment. This solution is a module of a middleware named (Ubiquitous Privacy) and traces the frequency of the user in the environment to update its profile according to the environment's rules. The implemented module was validated using scripts that perform probabilistic simulation and user authentication. From the rules assigned to the simulated environments, it was possible to confirm the high adaptability of the implementation. We also verified that it could be easily adjusted to any IoT environment that wants to treat the authentication and privacy of environments and users.
Valderi Leithardt; Douglas Santos; Luis Silva; Felipe Viel; Cesar Zeferino; Jorge Silva. A Solution for Dynamic Management of User Profiles in IoT Environments. IEEE Latin America Transactions 2020, 18, 1193 -1199.
AMA StyleValderi Leithardt, Douglas Santos, Luis Silva, Felipe Viel, Cesar Zeferino, Jorge Silva. A Solution for Dynamic Management of User Profiles in IoT Environments. IEEE Latin America Transactions. 2020; 18 (07):1193-1199.
Chicago/Turabian StyleValderi Leithardt; Douglas Santos; Luis Silva; Felipe Viel; Cesar Zeferino; Jorge Silva. 2020. "A Solution for Dynamic Management of User Profiles in IoT Environments." IEEE Latin America Transactions 18, no. 07: 1193-1199.
The evolution of computing devices and ubiquitous computing has led to the development of the Internet of Things (IoT). Smart Grids (SGs) stand out among the many applications of IoT and comprise several embedded intelligent technologies to improve the reliability and the safety of power grids. SGs use communication protocols for information exchange, such as the Open Smart Grid Protocol (OSGP). However, OSGP does not support the integration with devices compliant with the Constrained Application Protocol (CoAP), a communication protocol used in conventional IoT systems. In this sense, this article presents an efficient software interface that provides integration between OSGP and CoAP. The results obtained demonstrate the effectiveness of the proposed solution, which presents low communication overhead and enables the integration between IoT and SG systems.
Felipe Viel; Luis Augusto Silva; Valderi Reis Quietinho Leithardt; Juan Francisco De Paz Santana; Raimundo Celeste Ghizoni Teive; Cesar Albenes Zeferino. An Efficient Interface for the Integration of IoT Devices with Smart Grids. Sensors 2020, 20, 2849 .
AMA StyleFelipe Viel, Luis Augusto Silva, Valderi Reis Quietinho Leithardt, Juan Francisco De Paz Santana, Raimundo Celeste Ghizoni Teive, Cesar Albenes Zeferino. An Efficient Interface for the Integration of IoT Devices with Smart Grids. Sensors. 2020; 20 (10):2849.
Chicago/Turabian StyleFelipe Viel; Luis Augusto Silva; Valderi Reis Quietinho Leithardt; Juan Francisco De Paz Santana; Raimundo Celeste Ghizoni Teive; Cesar Albenes Zeferino. 2020. "An Efficient Interface for the Integration of IoT Devices with Smart Grids." Sensors 20, no. 10: 2849.
Smart grid systems have become popular and necessary for the development of a sustainable power grid. These systems use different technologies to provide optimized services to the users of the network. Regarding computing, these systems optimize electrical services by processing a large amount of the data generated. However, privacy and security are essential in this kind of system. With a large amount of data generated, it is necessary to protect the privacy of users, because this data may reveal the users’ personal information. Today, blockchain technology has proven to be an efficient architecture for solving privacy and security problems in different scenarios. Over the years, different blockchain platforms have emerged, attempting to solve specific problems in different areas. However, the use of different platforms fragmented the market, which was no different in the smart grid scenario. This work proposes a blockchain architecture that uses sidechains to make the system scalable and adaptable. We used three blockchains to ensure privacy, security, and trust in the system. To universalize the proposed solution, we used the Open Smart Grid Protocol and smart contracts. The results show that architecture security and privacy are guaranteed, making it feasible for implementation in real systems; although scalability issues regarding the storage of the data generated still exist.
Iago Sestrem Ochôa; Luis Augusto Silva; Gabriel De Mello; Nuno M. Garcia; Juan Francisco De Paz Santana; Valderi Reis Quietinho Leithardt. A Cost Analysis of Implementing a Blockchain Architecture in a Smart Grid Scenario Using Sidechains. Sensors 2020, 20, 843 .
AMA StyleIago Sestrem Ochôa, Luis Augusto Silva, Gabriel De Mello, Nuno M. Garcia, Juan Francisco De Paz Santana, Valderi Reis Quietinho Leithardt. A Cost Analysis of Implementing a Blockchain Architecture in a Smart Grid Scenario Using Sidechains. Sensors. 2020; 20 (3):843.
Chicago/Turabian StyleIago Sestrem Ochôa; Luis Augusto Silva; Gabriel De Mello; Nuno M. Garcia; Juan Francisco De Paz Santana; Valderi Reis Quietinho Leithardt. 2020. "A Cost Analysis of Implementing a Blockchain Architecture in a Smart Grid Scenario Using Sidechains." Sensors 20, no. 3: 843.
The evolution and miniaturization of the technologies for processing, storage, and communication have enabled computer systems to process a high volume of information and make decisions without human intervention. Within this context, several systems architectures and models have gained prominences, such as the Internet of Things (IoT) and Smart Grids (SGs). SGs use communication protocols to exchange information, among which the Open Smart Grid Protocol (OSGP) stands out. In contrast, this protocol does not have integration support with IoT systems that use some already consolidated communication protocols, such as the Constrained Application Protocol (CoAP). Thus, this work develops the integration of the protocols OSGP and CoAP to allow the communication between conventional IoT systems and systems dedicated to SGs. Results demonstrate the effectiveness of this integration, with the minimum impact on the flow of commands and data, making possible the use of the developed CoAP-OSGP Interface for Internet of Things (COIIoT).
Felipe Viel; Luis Augusto Silva; Valderi Leithardt; Gabriel Villarubia González; Raimundo Celeste Ghizoni Teive; Cesar Albenes Zeferino. COIIoT - An Interface between CoAP and OSGP Protocols for the Integration of Internet of Things Devices with Smart Grids. 2020, 1 .
AMA StyleFelipe Viel, Luis Augusto Silva, Valderi Leithardt, Gabriel Villarubia González, Raimundo Celeste Ghizoni Teive, Cesar Albenes Zeferino. COIIoT - An Interface between CoAP and OSGP Protocols for the Integration of Internet of Things Devices with Smart Grids. . 2020; ():1.
Chicago/Turabian StyleFelipe Viel; Luis Augusto Silva; Valderi Leithardt; Gabriel Villarubia González; Raimundo Celeste Ghizoni Teive; Cesar Albenes Zeferino. 2020. "COIIoT - An Interface between CoAP and OSGP Protocols for the Integration of Internet of Things Devices with Smart Grids." , no. : 1.
With the evolution of technology over the years, it has become possible to develop intelligent environments based on the concept of the Internet of Things, distributed systems, and machine learning. Such environments are infused with various solutions to solve user demands from services. One of these solutions is the Ubiquitous Privacy (UBIPRI) middleware, whose central concept is to maintain privacy in smart environments and to receive notifications as one of its services. However, this service is freely performed, disregarding the privacy that the environment employs. Another consideration is that, based on the researched related work, it was possible to identify that the authors do not use statistical hypothesis tests in their solutions developed in the presented context. This work proposes an architecture for notification management in smart environments, composed by a notification manager named Privacy Notification Manager (PRINM) to assign it to UBIPRI and to aim to perform experiments between classification algorithms to delimit which one is most feasible to implement in the PRINM decision-making mechanism. The experiments showed that the J48 algorithm obtained the best results compared to the other algorithms tested and compared.
João Antônio Martins; Iago Sestrem Ochôa; Luis Augusto Silva; André Sales Mendes; Gabriel Villarrubia González; Juan De Paz Santana; Valderi Reis Quietinho Leithardt. PRIPRO: A Comparison of Classification Algorithms for Managing Receiving Notifications in Smart Environments. Applied Sciences 2020, 10, 502 .
AMA StyleJoão Antônio Martins, Iago Sestrem Ochôa, Luis Augusto Silva, André Sales Mendes, Gabriel Villarrubia González, Juan De Paz Santana, Valderi Reis Quietinho Leithardt. PRIPRO: A Comparison of Classification Algorithms for Managing Receiving Notifications in Smart Environments. Applied Sciences. 2020; 10 (2):502.
Chicago/Turabian StyleJoão Antônio Martins; Iago Sestrem Ochôa; Luis Augusto Silva; André Sales Mendes; Gabriel Villarrubia González; Juan De Paz Santana; Valderi Reis Quietinho Leithardt. 2020. "PRIPRO: A Comparison of Classification Algorithms for Managing Receiving Notifications in Smart Environments." Applied Sciences 10, no. 2: 502.
With the evolution of technology over the years, it has become possible to develop intelligent environments based on the concept of the Internet of Things, distributed systems, and machine learning. Such environments are incorporated with various solutions to solve user demands from services. One of these solutions is UBIPRI middleware, whose central concept is to maintain privacy in smart environments and to receive notifications as one of its services. However, this service is freely performed, disregarding the privacy that the environment employs. Another consideration is that based on the researched related works, it was possible to identify that the authors do not use statistical hypothesis tests in their solutions developed in the presented context. This work proposes an architecture for notification management in smart environments, composed by a notification manager named PRIPRO to assign it to UBIPRI and to aim to perform tests and comparisons between classification algorithms to delimit which one is most feasible to implement in the PRINM decision-making mechanism. The experiments showed that the J48 algorithm obtained the best results compared to the other algorithms tested and compared.
João Antonio Martins; Iago Sestrem Ochôa; Luis Augusto Silva; André Filipe Sales Mendes; Gabriel Villarrubia Gonzalez; Juan Francisco De Paz; Valderi Reis Quietinho Leithardt. PRIPRO: A Comparison of Classification Algorithms for Managing Receiving Notifications in Smart Environments. 2019, 1 .
AMA StyleJoão Antonio Martins, Iago Sestrem Ochôa, Luis Augusto Silva, André Filipe Sales Mendes, Gabriel Villarrubia Gonzalez, Juan Francisco De Paz, Valderi Reis Quietinho Leithardt. PRIPRO: A Comparison of Classification Algorithms for Managing Receiving Notifications in Smart Environments. . 2019; ():1.
Chicago/Turabian StyleJoão Antonio Martins; Iago Sestrem Ochôa; Luis Augusto Silva; André Filipe Sales Mendes; Gabriel Villarrubia Gonzalez; Juan Francisco De Paz; Valderi Reis Quietinho Leithardt. 2019. "PRIPRO: A Comparison of Classification Algorithms for Managing Receiving Notifications in Smart Environments." , no. : 1.
With the popularization of the Internet-of-Things, various applications have emerged to make life easier. These applications generate a large amount of user data. Analyzing the data obtained from these applications, one can infer personal information about each user. Considering this, it is clear that ensuring privacy in this type of application is essential. To guarantee privacy various solutions exist, one of them is UbiPri middleware. This paper presents a decentralized implementation of UbiPri middleware using the Ethereum blockchain. Smart contracts were used in conjunction with a communication gateway and a distributed storage service to ensure users privacy. The results obtained show that the implementation of this work ensures privacy at different levels, data storage security, and performance regarding scalability in the Internet of Things environments.
Iago Sestrem Ochôa; Luis Augusto Silva; Gabriel De Mello; Bruno Alves Da Silva; Juan Francisco De Paz; Gabriel Villarrubia González; Nuno M. Garcia; Valderi Reis Quietinho Leithardt. PRICHAIN: A Partially Decentralized Implementation of UbiPri Middleware Using Blockchain. Sensors 2019, 19, 4483 .
AMA StyleIago Sestrem Ochôa, Luis Augusto Silva, Gabriel De Mello, Bruno Alves Da Silva, Juan Francisco De Paz, Gabriel Villarrubia González, Nuno M. Garcia, Valderi Reis Quietinho Leithardt. PRICHAIN: A Partially Decentralized Implementation of UbiPri Middleware Using Blockchain. Sensors. 2019; 19 (20):4483.
Chicago/Turabian StyleIago Sestrem Ochôa; Luis Augusto Silva; Gabriel De Mello; Bruno Alves Da Silva; Juan Francisco De Paz; Gabriel Villarrubia González; Nuno M. Garcia; Valderi Reis Quietinho Leithardt. 2019. "PRICHAIN: A Partially Decentralized Implementation of UbiPri Middleware Using Blockchain." Sensors 19, no. 20: 4483.
The electoral period has great importance in any democracy, but nowadays, different groups try to get an advantage in the democratic process by posting fake news on social media networks. The use of data mining technique to identify fake news is on development stage, and there is no holistic solution to this problem yet. In our work, we proposed an architecture that uses a centralized blockchain on fake news detection process. The primary characteristic of our architecture is the use of data mining as a consensus algorithm to authenticate the information published on social networks. Using our architecture is possible to identify fake news, alert readers, punish who dissolves this type of information and reward who publish true information on the network.
Iago Sestrem Ochoa; Gabriel de Mello; Luis A. Silva; Abel J. P. Gomes; Anita M. R. Fernandes; Valderi Reis Quietinho Leithardt. FakeChain: A Blockchain Architecture to Ensure Trust in Social Media Networks. Communications in Computer and Information Science 2019, 105 -118.
AMA StyleIago Sestrem Ochoa, Gabriel de Mello, Luis A. Silva, Abel J. P. Gomes, Anita M. R. Fernandes, Valderi Reis Quietinho Leithardt. FakeChain: A Blockchain Architecture to Ensure Trust in Social Media Networks. Communications in Computer and Information Science. 2019; ():105-118.
Chicago/Turabian StyleIago Sestrem Ochoa; Gabriel de Mello; Luis A. Silva; Abel J. P. Gomes; Anita M. R. Fernandes; Valderi Reis Quietinho Leithardt. 2019. "FakeChain: A Blockchain Architecture to Ensure Trust in Social Media Networks." Communications in Computer and Information Science , no. : 105-118.
With the growing number of mobile devices receiving daily notifications, it is necessary to manage the variety of information produced. New smart devices are developed every day with the ability to generate, send, and display messages about their status, data, and information about other devices. Consequently, the number of notifications received by a user is increasing and their tolerance may decrease in a short time. With this, it is necessary to develop a management system and notification controls. In this context, this work proposes a notification and alert management system called PRISER. Its focus is on user profiles and environments, applying data privacy criteria.
Luis Augusto Silva; Valderi Reis Quietinho Leithardt; Carlos O. Rolim; Gabriel Villarrubia González; Cláudio F. R. Geyer; Jorge Sá Silva. PRISER: Managing Notification in Multiples Devices with Data Privacy Support. Sensors 2019, 19, 3098 .
AMA StyleLuis Augusto Silva, Valderi Reis Quietinho Leithardt, Carlos O. Rolim, Gabriel Villarrubia González, Cláudio F. R. Geyer, Jorge Sá Silva. PRISER: Managing Notification in Multiples Devices with Data Privacy Support. Sensors. 2019; 19 (14):3098.
Chicago/Turabian StyleLuis Augusto Silva; Valderi Reis Quietinho Leithardt; Carlos O. Rolim; Gabriel Villarrubia González; Cláudio F. R. Geyer; Jorge Sá Silva. 2019. "PRISER: Managing Notification in Multiples Devices with Data Privacy Support." Sensors 19, no. 14: 3098.