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Prof. Francisco José Da Silva E Silva
Universidade Federal do Maranhão - UFMA

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0 Distributed Systems
0 Internet of Things
0 Mobile Computing
0 Smart Cities
0 Ubiquitous Computing

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Internet of Things
Mobile Computing
Smart Cities

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Journal article
Published: 07 March 2021 in Sensors
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The Internet of Things (IoT) has emerged from the proliferation of mobile devices and objects connected, resulting in the acquisition of periodic event flows from different devices and sensors. However, such sensors and devices can be faulty or affected by failures, have poor calibration, and produce inaccurate data and uncertain event flows in IoT applications. A prominent technique for analyzing event flows is Complex Event Processing (CEP). Uncertainty in CEP is usually observed in primitive events (i.e., sensor readings) and rules that derive complex events (i.e., high-level situations). In this paper, we investigate the identification and treatment of uncertainty in CEP-based IoT applications. We propose the DST-CEP, an approach that uses the Dempster–Shafer Theory to treat uncertainties. By using this theory, our solution can combine unreliable sensor data in conflicting situations and detect correct results. DST-CEP has an architectural model for treating uncertainty in events and its propagation to processing rules. We describe a case study using the proposed approach in a multi-sensor fire outbreak detection system. We submit our solution to experiments with a real sensor dataset, and evaluate it using well-known performance metrics. The solution achieves promising results regarding Accuracy, Precision, Recall, F-measure, and ROC Curve, even when combining conflicting sensor readings. DST-CEP demonstrated to be suitable and flexible to deal with uncertainty.

ACS Style

Eduardo Bezerra; Ariel Teles; Luciano Coutinho; Francisco José Da Silva E Silva. Dempster–Shafer Theory for Modeling and Treating Uncertainty in IoT Applications Based on Complex Event Processing. Sensors 2021, 21, 1863 .

AMA Style

Eduardo Bezerra, Ariel Teles, Luciano Coutinho, Francisco José Da Silva E Silva. Dempster–Shafer Theory for Modeling and Treating Uncertainty in IoT Applications Based on Complex Event Processing. Sensors. 2021; 21 (5):1863.

Chicago/Turabian Style

Eduardo Bezerra; Ariel Teles; Luciano Coutinho; Francisco José Da Silva E Silva. 2021. "Dempster–Shafer Theory for Modeling and Treating Uncertainty in IoT Applications Based on Complex Event Processing." Sensors 21, no. 5: 1863.

Journal article
Published: 25 December 2020 in Sensors
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Traditionally, mental health specialists monitor their patients’ social behavior by applying subjective self-report questionnaires in face-to-face meetings. Usually, the application of the self-report questionnaire is limited by cognitive biases (e.g., memory bias and social desirability). As an alternative, we present a solution to detect context-aware sociability patterns and behavioral changes based on social situations inferred from ubiquitous device data. This solution does not focus on the diagnosis of mental states, but works on identifying situations of interest to specialized professionals. The proposed solution consists of an algorithm based on frequent pattern mining and complex event processing to detect periods of the day in which the individual usually socializes. Social routine recognition is performed under different context conditions to differentiate abnormal social behaviors from the variation of usual social habits. The proposed solution also can detect abnormal behavior and routine changes. This solution uses fuzzy logic to model the knowledge of the mental health specialist necessary to identify the occurrence of behavioral change. Evaluation results show that the prediction performance of the identified context-aware sociability patterns has strong positive relation (Pearson’s correlation coefficient >70%) with individuals’ social routine. Finally, the evaluation conducted recognized that the proposed solution leading to the identification of abnormal social behaviors and social routine changes consistently.

ACS Style

Ivan Rodrigues De Moura; Ariel Soares Teles; Markus Endler; Luciano Reis Coutinho; Francisco José Da Silva E Silva. Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals. Sensors 2020, 21, 86 .

AMA Style

Ivan Rodrigues De Moura, Ariel Soares Teles, Markus Endler, Luciano Reis Coutinho, Francisco José Da Silva E Silva. Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals. Sensors. 2020; 21 (1):86.

Chicago/Turabian Style

Ivan Rodrigues De Moura; Ariel Soares Teles; Markus Endler; Luciano Reis Coutinho; Francisco José Da Silva E Silva. 2020. "Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals." Sensors 21, no. 1: 86.

Conference paper
Published: 07 December 2020 in Anais do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2020)
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The current dissemination of IoT increases the deployment of stream processing solutions for monitoring and controlling elements of the real-world. One of those solutions is Complex Event Processing (CEP), and to handle the high volume, velocity and volatility of data streams from IoT sensors the CEP pipeline should be distributed, preferably having CEP operators both in the cloud/cluster and in edge devices. In this paper, we present a model for a distributed CEP platform and an implementation of this model called Global CEP Manager (GCM). GCM is a service of the ContextNet middleware that supports the deployment and dynamic rearrangement of CEP queries to CEP engines executing in the cloud and in M-Hubs, that are ContextNet’s mobile edge devices.

ACS Style

Fernando Benedito Veras Magalhães; Francisco José Da Silva E Silva; Markus Endler. Support for Adaptive and Distributed Deployment of CEP Continuous Queries for the IoMT. Anais do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2020) 2020, 99 -112.

AMA Style

Fernando Benedito Veras Magalhães, Francisco José Da Silva E Silva, Markus Endler. Support for Adaptive and Distributed Deployment of CEP Continuous Queries for the IoMT. Anais do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2020). 2020; ():99-112.

Chicago/Turabian Style

Fernando Benedito Veras Magalhães; Francisco José Da Silva E Silva; Markus Endler. 2020. "Support for Adaptive and Distributed Deployment of CEP Continuous Queries for the IoMT." Anais do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2020) , no. : 99-112.

Article
Published: 10 September 2020 in Multimedia Tools and Applications
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Internet of Things (IoT) is the interconnection of physical devices, known of smart objects, that share data and collaborate among them to support users. There are IoT usage scenarios in several domains. In-home domain, the use of smart objects may support monitoring and automation of the environment. In a home, the TV is one of the most used devices. It may also collaborate with the smart objects to enhance the interactive experience of viewers on watching. To support such a meeting, we propose an (i) conceptual model, IoTTV-Ont, that allows modeling entire homes, with smart objects, people’ profile, and viewers’ interaction events with TV applications; (ii) a software architecture that integrates and interoperates digital TV and IoT middleware. This architecture allows the TV applications: to be aware of the physical environment context, to change aspects of the physical environment, to identify the viewers, and to receive multimodal interactions performed by viewers. We demonstrate our work through use cases. For this, we implement a prototype of our software architecture and modeled home using IoTTV-Ont. Then we developed usage scenarios that enhance TV viewers’ experience by supporting features such as content adaptation, multi-sensorial immersive experience, and multimodal user interaction.

ACS Style

Danne Makleyston G. Pereira; Francisco José Da S. E Silva; Carlos De Salles S. Neto; Davi Viana dos Santos; Luciano Reis Coutinho; Álan L. V. Guedes. An ontology-based approach to integrate TV and IoT middlewares. Multimedia Tools and Applications 2020, 80, 1813 -1837.

AMA Style

Danne Makleyston G. Pereira, Francisco José Da S. E Silva, Carlos De Salles S. Neto, Davi Viana dos Santos, Luciano Reis Coutinho, Álan L. V. Guedes. An ontology-based approach to integrate TV and IoT middlewares. Multimedia Tools and Applications. 2020; 80 (2):1813-1837.

Chicago/Turabian Style

Danne Makleyston G. Pereira; Francisco José Da S. E Silva; Carlos De Salles S. Neto; Davi Viana dos Santos; Luciano Reis Coutinho; Álan L. V. Guedes. 2020. "An ontology-based approach to integrate TV and IoT middlewares." Multimedia Tools and Applications 80, no. 2: 1813-1837.

Journal article
Published: 01 September 2020 in Medical Hypotheses
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Human posture and Range of Motion (ROM) are important components of a physical assessment and, from the collected data, it is possible to identify postural deviations such as scoliosis or joint and muscle limitations, hence identifying risks of more serious injuries. Posture assessment and ROM measures are also necessary metrics to monitor the effect of treatments used in the motor rehabilitation of patients, as well as to monitor their clinical progress. These evaluation processes are more frequently performed through visual inspection and manual palpation, which are simple and low cost methods. These methods, however, can be optimized with the use of tools such as photogrammetry and goniometry. Mobile solutions have also been developed to help health professionals to capture more objective data and with less risk of bias. Although there are already several systems proposed for assessing human posture and ROM in the literature, they have not been able to automatically identify and mark Anatomical and Segment Points (ASPs). The hypothesis presented here considers the development of a mobile application for automatic identification of ASPs by using machine learning algorithms and computer vision models associated with technologies embedded in smartphones. From ASPs identification, it will be possible to identify changes in postural alignment and ROM. In this context, our view is that an application derived from the hypothesis will serve as an additional tool to assist in the physical assessment process and, consequently, in the diagnosis of disorders related to postural and movement changes.

ACS Style

Rayele Moreira; Ariel Teles; Renan Fialho; Thalyta Cibele Passos Dos Santos; Samila Sousa Vasconcelos; Itamara Carvalho De Sá; Victor Hugo Bastos; Francisco Silva; Silmar Teixeira. Can human posture and range of motion be measured automatically by smart mobile applications? Medical Hypotheses 2020, 142, 109741 .

AMA Style

Rayele Moreira, Ariel Teles, Renan Fialho, Thalyta Cibele Passos Dos Santos, Samila Sousa Vasconcelos, Itamara Carvalho De Sá, Victor Hugo Bastos, Francisco Silva, Silmar Teixeira. Can human posture and range of motion be measured automatically by smart mobile applications? Medical Hypotheses. 2020; 142 ():109741.

Chicago/Turabian Style

Rayele Moreira; Ariel Teles; Renan Fialho; Thalyta Cibele Passos Dos Santos; Samila Sousa Vasconcelos; Itamara Carvalho De Sá; Victor Hugo Bastos; Francisco Silva; Silmar Teixeira. 2020. "Can human posture and range of motion be measured automatically by smart mobile applications?" Medical Hypotheses 142, no. : 109741.

Review
Published: 25 July 2020 in Electronics
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Smartphones are increasingly incorporated with features such as sensors and high resolution cameras that empower their capabilities, enabling their use for varied activities including human posture assessments. Previous reviews have discussed methods used in postural assessment but none of them focused exclusively on mobile applications. This paper systematically reviews mobile applications proposed for analyzing human posture based on alignment of the body in the sagittal and coronal plane. The main digital libraries were searched, 26 articles published between 2010 and 2020 were selected, and 13 mobile applications were identified, classified and discussed. Results showed that the use of mobile applications to assist with posture assessment have been demonstrated to be reliable, and this can contribute to clinical practice of health professionals, especially the assessment and reassessment phases of treatments, despite some variations when compared to traditional methods. Moreover, in the case of image-based applications, we highlight the advantage that measurements can be taken with the assessor at a certain distance with respect to the patient’s position, which is an important function for assessments performed in pandemic times such as the outbreak of COVID-19.

ACS Style

Rayele Moreira; Ariel Teles; Renan Fialho; Rodrigo Baluz; Thalyta Cibele Santos; Rômulo Goulart-Filho; Laiane Rocha; Francisco José Silva; Nishu Gupta; Victor Hugo Bastos; Silmar Teixeira. Mobile Applications for Assessing Human Posture: A Systematic Literature Review. Electronics 2020, 9, 1196 .

AMA Style

Rayele Moreira, Ariel Teles, Renan Fialho, Rodrigo Baluz, Thalyta Cibele Santos, Rômulo Goulart-Filho, Laiane Rocha, Francisco José Silva, Nishu Gupta, Victor Hugo Bastos, Silmar Teixeira. Mobile Applications for Assessing Human Posture: A Systematic Literature Review. Electronics. 2020; 9 (8):1196.

Chicago/Turabian Style

Rayele Moreira; Ariel Teles; Renan Fialho; Rodrigo Baluz; Thalyta Cibele Santos; Rômulo Goulart-Filho; Laiane Rocha; Francisco José Silva; Nishu Gupta; Victor Hugo Bastos; Silmar Teixeira. 2020. "Mobile Applications for Assessing Human Posture: A Systematic Literature Review." Electronics 9, no. 8: 1196.

Review
Published: 18 June 2020 in Journal of Biomedical Informatics
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Traditionally, the process of monitoring and evaluating social behavior related to mental health has based on self-reported information, which is limited by the subjective character of responses and various cognitive biases. Today, however, there is a growing amount of studies that have provided methods to objectively monitor social behavior through ubiquitous devices and have used this information to support mental health services. In this paper, we present a Systematic Literature Review (SLR) to identify, analyze and characterize the state of the art about the use of ubiquitous devices to monitor users’ social behavior focused on mental health. For this purpose, we performed an exhaustive literature search on the six main digital libraries. A screening process was conducted on 160 peer-reviewed publications by applying suitable selection criteria to define the appropriate studies to the scope of this SLR. Next, 20 selected studies were forwarded to the data extraction phase. From an analysis of the selected studies, we recognized the types of social situations identified, the process of transforming contextual data into social situations, the use of social situation awareness to support mental health monitoring, and the methods used to evaluate proposed solutions. Additionally, we identified the main trends presented by this research area, as well as open questions and perspectives for future research. Results of this SLR showed that social situation-aware ubiquitous systems represent promising assistance tools for patients and mental health professionals. However, studies still present limitations in methodological rigor and restrictions in experiments, and solutions proposed by them have limitations to be overcome.

ACS Style

Ivan Moura; Ariel Teles; Francisco Silva; Davi Viana; Luciano Coutinho; Flávio Barros; Markus Endler. Mental health ubiquitous monitoring supported by social situation awareness: A systematic review. Journal of Biomedical Informatics 2020, 107, 103454 .

AMA Style

Ivan Moura, Ariel Teles, Francisco Silva, Davi Viana, Luciano Coutinho, Flávio Barros, Markus Endler. Mental health ubiquitous monitoring supported by social situation awareness: A systematic review. Journal of Biomedical Informatics. 2020; 107 ():103454.

Chicago/Turabian Style

Ivan Moura; Ariel Teles; Francisco Silva; Davi Viana; Luciano Coutinho; Flávio Barros; Markus Endler. 2020. "Mental health ubiquitous monitoring supported by social situation awareness: A systematic review." Journal of Biomedical Informatics 107, no. : 103454.

Journal article
Published: 23 April 2020 in Research, Society and Development
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Esta pesquisa tem o objetivo de investigar as possibilidades e os desafios dos professores do 5ª ano do Ensino Fundamental das escolas públicas do município de São José de Ribamar/Maranhão, referente ao uso das Tecnologias da Informação e Comunicação (TICs) na sala de aula. Assim, tendo em vista a importância do uso das TICs nos espaços escolares reconhecidos na Base Nacional Comum Curricular (BNCC), que atualmente é o principal documento curricular norteador da educação, é que há a intenção de identificar como docentes lidam com esta realidade da presença das TIC. Para tanto, a metodologia utilizada foi com o uso de estudos bibliográficos, estudo do documento curricular norteador da educação básica brasileira, a BNCC homologada em 2017, e pesquisa de campo com 18 professores da rede pública do município. Com os resultados da pesquisa, pode-se compreender que as TIC já caracterizam a vida cotidiana da contemporaneidade, e que não é, e não pode ser, diferente na sala de aula. Além disso, há necessidade do poder público oferecer melhores condições materiais para as escolas, por exemplo, com o desenvolvimento de políticas de incentivo à formação continuada de professores. No entanto, é impreterível, aos professores em exercício de sua profissão serem pesquisadores e autônomos na busca pelo conhecimento, atualizarem-se, frente às TIC na prática pedagógica.

ACS Style

Juliana Lima Silva Barros; Ariel Soares Teles; Marinelma Costa Meireles; Davi Viana Dos Santos; Francisco José Da Silva E Silva; Luciano Reis Coutinho; Silmar Silva Teixeira. Tecnologias da informação e comunicação na base nacional curricular comum para o Ensino Fundamental: concepção dos professores de São José de Ribamar, Brasil. Research, Society and Development 2020, 9, e482974127 .

AMA Style

Juliana Lima Silva Barros, Ariel Soares Teles, Marinelma Costa Meireles, Davi Viana Dos Santos, Francisco José Da Silva E Silva, Luciano Reis Coutinho, Silmar Silva Teixeira. Tecnologias da informação e comunicação na base nacional curricular comum para o Ensino Fundamental: concepção dos professores de São José de Ribamar, Brasil. Research, Society and Development. 2020; 9 (7):e482974127.

Chicago/Turabian Style

Juliana Lima Silva Barros; Ariel Soares Teles; Marinelma Costa Meireles; Davi Viana Dos Santos; Francisco José Da Silva E Silva; Luciano Reis Coutinho; Silmar Silva Teixeira. 2020. "Tecnologias da informação e comunicação na base nacional curricular comum para o Ensino Fundamental: concepção dos professores de São José de Ribamar, Brasil." Research, Society and Development 9, no. 7: e482974127.

Journal article
Published: 01 April 2020 in Future Internet
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The amalgamation of Vehicular Ad hoc Network (VANET) with the Internet of Things (IoT) leads to the concept of the Internet of Vehicles (IoV). IoV forms a solid backbone for Intelligent Transportation Systems (ITS), which paves the way for technologies that better explain about traffic efficiency and their management applications. IoV architecture is seen as a big player in different areas such as the automobile industry, research organizations, smart cities and intelligent transportation for various commercial and scientific applications. However, as VANET is vulnerable to various types of security attacks, the IoV structure should ensure security and efficient performance for vehicular communications. To address these issues, in this article, an authentication-based protocol (A-MAC) for smart vehicular communication is proposed along with a novel framework towards an IoV architecture model. The scheme requires hash operations and uses cryptographic concepts to transfer messages between vehicles to maintain the required security. Performance evaluation helps analyzing its strength in withstanding various types of security attacks. Simulation results demonstrate that A-MAC outshines other protocols in terms of communication cost, execution time, storage cost, and overhead.

ACS Style

Nishu Gupta; Ravikanti Manaswini; Bongaram Saikrishna; Francisco Silva; Ariel Teles. Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET. Future Internet 2020, 12, 63 .

AMA Style

Nishu Gupta, Ravikanti Manaswini, Bongaram Saikrishna, Francisco Silva, Ariel Teles. Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET. Future Internet. 2020; 12 (4):63.

Chicago/Turabian Style

Nishu Gupta; Ravikanti Manaswini; Bongaram Saikrishna; Francisco Silva; Ariel Teles. 2020. "Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET." Future Internet 12, no. 4: 63.

Journal article
Published: 26 February 2020 in Expert Systems with Applications
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In this paper, we propose a novel method for automatic k-complex (KC) detection in human sleep EEG, named MT-KCD. KCs are slow oscillations in the EEG signal characterized by a well-delineated, negative, sharp waves immediately followed by a positive component standing out from the background, with high-amplitude and total duration ≥ 0.5 s. Among the important aspects of the KC are its homeostatic and reactive functions in the brain, functioning as a sleep protection mechanism, and its practical use as a marker of N2 sleep stage during sleep studies. Given the importance of the KC, and the effort required from human experts to analyze EEG recordings visually, some recent research works have proposed automatic methods for KC detection. In comparison with existing methods, a key feature and novelty of MT-KCD is the use of multitaper spectral analysis to pre-process the EEG signal and automatically extract candidate KCs from it (characterized as 0-4 Hz power concentrations standing out from the background). After extraction, candidates are accepted/rejected depending on time domain characteristics (peak-to-peak amplitude ≥ 75 µV, duration ≤ 2 s). The method overall time complexity is O(N·logN). Regarding effectiveness, we have evaluated MT-KCD by using a public KC database (DREAMS) consisting of ten polysomnographic recordings of healthy patients (6 female and 4 male subjects with age range 20–47 years) partially annotated by two experts. Results have shown that MT-KCD improves detection metrics, especially F1 and F2 scores (harmonic averages of recall and precision), when compared to existing methods. Besides, improving F1 and F2 scores, MT-KCD also contributes to the automatic analysis of sleep EEG multitaper spectrograms, a technique recently proposed by researchers in the area of sleep studies as a complement to the traditional hypnogram (sleep stages diagram).

ACS Style

Gustavo H.B.S. Oliveira; Luciano R. Coutinho; Josenildo C. da Silva; Ivan J.P. Pinto; Júlia M.S. Ferreira; Francisco J.S. Silva; Davi V. Santos; Ariel S. Teles. Multitaper-based method for automatic k-complex detection in human sleep EEG. Expert Systems with Applications 2020, 151, 113331 .

AMA Style

Gustavo H.B.S. Oliveira, Luciano R. Coutinho, Josenildo C. da Silva, Ivan J.P. Pinto, Júlia M.S. Ferreira, Francisco J.S. Silva, Davi V. Santos, Ariel S. Teles. Multitaper-based method for automatic k-complex detection in human sleep EEG. Expert Systems with Applications. 2020; 151 ():113331.

Chicago/Turabian Style

Gustavo H.B.S. Oliveira; Luciano R. Coutinho; Josenildo C. da Silva; Ivan J.P. Pinto; Júlia M.S. Ferreira; Francisco J.S. Silva; Davi V. Santos; Ariel S. Teles. 2020. "Multitaper-based method for automatic k-complex detection in human sleep EEG." Expert Systems with Applications 151, no. : 113331.

Journal article
Published: 31 December 2019 in RENOTE
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Este trabalho discute as dificuldades que os estudantes enfrentam no estudo da Física e investiga a influência do uso de Objetos Digitais de Aprendizagem (ODAs), especificamente os simuladores virtuais, partindo da hipótese que contribuem para o aumento da motivação e interesse dos estudantes. Para isso, realizou-se em uma escola pública a aplicação de um questionário que forneceu informações sobre o contexto escolar e as aspirações deles quanto às metodologias de ensino. Após a aplicação do questionário, foi analisado como os simuladores virtuais disponíveis no portal PhET influenciam os estudantes, em que ficou evidente que os ODAs do tipo simuladores virtuais podem contribuir para a aprendizagem dos alunos e não devem ser usados como uma solução única e definitiva para os problemas de aprendizagem em Física.

ACS Style

Arley Carvalho; Ariel Teles; Davi Viana; Francisco José Da Silva E Silva; Luciano Coutinho; Silmar Teixeira. Objetos Digitais de Aprendizagem no Ensino de Física Básica: Um estudo de caso com simuladores virtuais em uma escola de ensino público estadual. RENOTE 2019, 17, 263 -272.

AMA Style

Arley Carvalho, Ariel Teles, Davi Viana, Francisco José Da Silva E Silva, Luciano Coutinho, Silmar Teixeira. Objetos Digitais de Aprendizagem no Ensino de Física Básica: Um estudo de caso com simuladores virtuais em uma escola de ensino público estadual. RENOTE. 2019; 17 (3):263-272.

Chicago/Turabian Style

Arley Carvalho; Ariel Teles; Davi Viana; Francisco José Da Silva E Silva; Luciano Coutinho; Silmar Teixeira. 2019. "Objetos Digitais de Aprendizagem no Ensino de Física Básica: Um estudo de caso com simuladores virtuais em uma escola de ensino público estadual." RENOTE 17, no. 3: 263-272.

Journal article
Published: 31 December 2019 in RENOTE
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Este artigo apresenta uma investigação sobre a usabilidade do Ambiente Virtual de Aprendizagem (AVA) Google Sala de Aula, visando identificar quais contribuições e melhorias a sua utilização pode trazer para o processo de ensino-aprendizagem. Foi aplicado um questionário, com a participação de 28 alunos em um curso de Licenciatura em Ciências Biológicas. Os resultados demonstram uma maior flexibilidade de acesso pelos alunos às atividades realizadas por meio do AVA e também com o uso de dispositivos móveis, tanto dentro quanto fora da sala de aula. Dessa forma, os resultados sugerem que a ferramenta é de fácil utilização, proporcionando maior interatividade e colaboração através da mediação docente.

ACS Style

Jonatas Martins; Ariel Teles; Davi Viana; Francisco José Silva; Luciano Coutinho; Silmar Teixeira. Avaliação do Google Sala de Aula como Ferramenta de Apoio ao Processo de Ensino-aprendizagem em um Curso de Licenciatura em Ciências Biológicas Presencial. RENOTE 2019, 17, 587 -596.

AMA Style

Jonatas Martins, Ariel Teles, Davi Viana, Francisco José Silva, Luciano Coutinho, Silmar Teixeira. Avaliação do Google Sala de Aula como Ferramenta de Apoio ao Processo de Ensino-aprendizagem em um Curso de Licenciatura em Ciências Biológicas Presencial. RENOTE. 2019; 17 (3):587-596.

Chicago/Turabian Style

Jonatas Martins; Ariel Teles; Davi Viana; Francisco José Silva; Luciano Coutinho; Silmar Teixeira. 2019. "Avaliação do Google Sala de Aula como Ferramenta de Apoio ao Processo de Ensino-aprendizagem em um Curso de Licenciatura em Ciências Biológicas Presencial." RENOTE 17, no. 3: 587-596.

Conference paper
Published: 20 May 2019 in Proceedings of the XV Brazilian Symposium on Information Systems
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ACS Style

Anderson Soares Costa; Rodolfo Sobreira Alves; Francisco José Da Silva E Silva; Markus Endler. Dynamic Discovery of IoT Services Based on Semantic Processing of Event Flows. Proceedings of the XV Brazilian Symposium on Information Systems 2019, 1 .

AMA Style

Anderson Soares Costa, Rodolfo Sobreira Alves, Francisco José Da Silva E Silva, Markus Endler. Dynamic Discovery of IoT Services Based on Semantic Processing of Event Flows. Proceedings of the XV Brazilian Symposium on Information Systems. 2019; ():1.

Chicago/Turabian Style

Anderson Soares Costa; Rodolfo Sobreira Alves; Francisco José Da Silva E Silva; Markus Endler. 2019. "Dynamic Discovery of IoT Services Based on Semantic Processing of Event Flows." Proceedings of the XV Brazilian Symposium on Information Systems , no. : 1.

Conference paper
Published: 01 January 2019 in Proceedings of the 21st International Conference on Enterprise Information Systems
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ACS Style

Adalberto Azevedo Jr.; Fernando Benedito; Luciano Coutinho; Francisco José Da Silva E Silva; Marcos Roriz Junior; Markus Endler. A Mobility Restriction Authoring Tool Approach based on a Domain Specific Modeling Language and Model Transformation. Proceedings of the 21st International Conference on Enterprise Information Systems 2019, 525 -534.

AMA Style

Adalberto Azevedo Jr., Fernando Benedito, Luciano Coutinho, Francisco José Da Silva E Silva, Marcos Roriz Junior, Markus Endler. A Mobility Restriction Authoring Tool Approach based on a Domain Specific Modeling Language and Model Transformation. Proceedings of the 21st International Conference on Enterprise Information Systems. 2019; ():525-534.

Chicago/Turabian Style

Adalberto Azevedo Jr.; Fernando Benedito; Luciano Coutinho; Francisco José Da Silva E Silva; Marcos Roriz Junior; Markus Endler. 2019. "A Mobility Restriction Authoring Tool Approach based on a Domain Specific Modeling Language and Model Transformation." Proceedings of the 21st International Conference on Enterprise Information Systems , no. : 525-534.

Conference paper
Published: 01 January 2019 in Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering
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ACS Style

Allan Barbosa; Francisco Silva; Luciano Coutinho; Davi Santos; Ariel Teles. A Domain-Specific Modeling Language for Specification of Clinical Scores in Mobile Health. Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering 2019, 104 -113.

AMA Style

Allan Barbosa, Francisco Silva, Luciano Coutinho, Davi Santos, Ariel Teles. A Domain-Specific Modeling Language for Specification of Clinical Scores in Mobile Health. Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering. 2019; ():104-113.

Chicago/Turabian Style

Allan Barbosa; Francisco Silva; Luciano Coutinho; Davi Santos; Ariel Teles. 2019. "A Domain-Specific Modeling Language for Specification of Clinical Scores in Mobile Health." Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering , no. : 104-113.

Journal article
Published: 08 December 2017 in Sensors
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Context aware systems are able to adapt their behavior according to the environment in which the user is. They can be integrated into an Internet of Things (IoT) infrastructure, allowing a better perception of the user’s physical environment by collecting context data from sensors embedded in devices known as smart objects. An IoT extension called the Internet of Mobile Things (IoMT) suggests new scenarios in which smart objects and IoT gateways can move autonomously or be moved easily. In a comprehensive view, Quality of Context (QoC) is a term that can express quality requirements of context aware applications. These requirements can be those related to the quality of information provided by the sensors (e.g., accuracy, resolution, age, validity time) or those referring to the quality of the data distribution service (e.g, reliability, delay, delivery time). Some functionalities of context aware applications and/or decision-making processes of these applications and their users depend on the level of quality of context available, which tend to vary over time for various reasons. Reviewing the literature, it is possible to verify that the quality of context support provided by IoT-oriented middleware systems still has limitations in relation to at least four relevant aspects: (i) quality of context provisioning; (ii) quality of context monitoring; (iii) support for heterogeneous device and technology management; (iv) support for reliable data delivery in mobility scenarios. This paper presents two main contributions: (i) a state-of-the-art survey specifically aimed at analyzing the middleware with quality of context support and; (ii) a new middleware with comprehensive quality of context support for Internet of Things Applications. The proposed middleware was evaluated and the results are presented and discussed in this article, which also shows a case study involving the development of a mobile remote patient monitoring application that was developed using the proposed middleware. This case study highlights how middleware components were used to meet the quality of context requirements of the application. In addition, the proposed middleware was compared to other solutions in the literature.

ACS Style

Berto De Tácio Pereira Gomes; Luiz Carlos Melo Muniz; Francisco José Da Silva E Silva; Davi Viana Dos Santos; Rafael Fernandes Lopes; Luciano Coutinho; Felipe Oliveira Carvalho; Markus Endler. A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications. Sensors 2017, 17, 2853 .

AMA Style

Berto De Tácio Pereira Gomes, Luiz Carlos Melo Muniz, Francisco José Da Silva E Silva, Davi Viana Dos Santos, Rafael Fernandes Lopes, Luciano Coutinho, Felipe Oliveira Carvalho, Markus Endler. A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications. Sensors. 2017; 17 (12):2853.

Chicago/Turabian Style

Berto De Tácio Pereira Gomes; Luiz Carlos Melo Muniz; Francisco José Da Silva E Silva; Davi Viana Dos Santos; Rafael Fernandes Lopes; Luciano Coutinho; Felipe Oliveira Carvalho; Markus Endler. 2017. "A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications." Sensors 17, no. 12: 2853.

Journal article
Published: 01 September 2017 in International Journal of Semantic Computing
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As distributed IoT applications become larger and more complex, the pure processing of raw sensor and actuation data streams becomes impractical. Instead, data streams must be fused into tangible facts and these pieces of information must be combined with a background knowledge to infer new pieces of knowledge. And since many IoT applications require almost real-time reactivity to stimulus of the environment, such information inference process has to be performed in a continuous, on-line manner. This paper proposes a new semantic model for data stream processing and real-time reasoning based on the concepts of Semantic Stream and Fact Stream, as a natural extension of Complex Event Processing (CEP) and RDF (graph-based knowledge model). The main advantages of our approach are that: (a) it considers time as a key relation between pieces of information; (b) the processing of streams can be implemented using CEP; (c) it is general enough to be applied to any Data Stream Management System (DSMS). We describe a scenario about patients flux monitoring in a hospital as an example of prospective application. Last, we present challenges and prospects on using machine learning and induction algorithms to learn abstractions and reasoning rules from a continuous data stream.

ACS Style

Markus Endler; Jean-Pierre Briot; Vitor P. De Almeida; Ruhan Dos Reis; Francisco José Da Silva E Silva. Stream-Based Reasoning for IoT Applications — Proposal of Architecture and Analysis of Challenges. International Journal of Semantic Computing 2017, 11, 325 -344.

AMA Style

Markus Endler, Jean-Pierre Briot, Vitor P. De Almeida, Ruhan Dos Reis, Francisco José Da Silva E Silva. Stream-Based Reasoning for IoT Applications — Proposal of Architecture and Analysis of Challenges. International Journal of Semantic Computing. 2017; 11 (3):325-344.

Chicago/Turabian Style

Markus Endler; Jean-Pierre Briot; Vitor P. De Almeida; Ruhan Dos Reis; Francisco José Da Silva E Silva. 2017. "Stream-Based Reasoning for IoT Applications — Proposal of Architecture and Analysis of Challenges." International Journal of Semantic Computing 11, no. 3: 325-344.

Journal article
Published: 01 July 2017 in Computer Communications
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As On-line Social Networks are nowadays largely used by mobile users and their posts potentially reveal - either explicitly or implicitly - much sensitive information about users, privacy control becomes a fundamental issue in such Mobile Social Networks (MSNs). In this paper we advocate that situational computing is the key ingredient for the development of effective mechanisms for privacy control in MSNs. We first describe an on-line survey carried out in order to understand the users requirements regarding privacy when using MSNs. The results suggest that users have dynamic and context-dependent privacy requirements and also pinpoints which types of context data are more relevant for the decision about the users willingness to share MSN content. Based on these findings, we propose SelPri, a solution developed as a proof of concept in form of an Android mobile social application that is integrated with Facebook. SelPri employs Fuzzy Logic to autonomously and dynamically adapt privacy settings of posts in MSNs according to the users current situation, freeing the user from the hassle of the manual configuration of the privacy settings whenever his/her situation changes. We also describe conducted evaluations of the user experience in using SelPri to assess its accuracy to identify user situations, and its usability and effectiveness in meeting the users dynamic and contextual privacy requirements.

ACS Style

Ariel Soares Teles; Francisco José Da Silva E Silva; Markus Endler. Situation-based privacy autonomous management for mobile social networks. Computer Communications 2017, 107, 75 -92.

AMA Style

Ariel Soares Teles, Francisco José Da Silva E Silva, Markus Endler. Situation-based privacy autonomous management for mobile social networks. Computer Communications. 2017; 107 ():75-92.

Chicago/Turabian Style

Ariel Soares Teles; Francisco José Da Silva E Silva; Markus Endler. 2017. "Situation-based privacy autonomous management for mobile social networks." Computer Communications 107, no. : 75-92.

Journal article
Published: 01 March 2017 in Information Systems
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Clusters of mobile elements, such as vehicles and humans, are a common mobility pattern of interest for many applications. The on-line detection of them from large position streams of mobile entities is a challenging task because it requires algorithms that are capable of continuously and efficiently processing the high volume of position updates in a timely manner. Currently, the majority of approaches for cluster detection operate in batch mode, where position updates are recorded during time periods of certain length and then batch processed by an external routine, thus delaying the result of the cluster detection until the end of the time period. However, if the monitoring application requires results at a higher frequency than the one delivered by batch algorithms, then results might not reflect the current clustering state of the entities. To overcome this limitation, in this paper we propose dg2cep, an algorithm that combines the well-known density-based clustering algorithm Dbscan with the data stream processing paradigm Complex Event Processing (CEP) to achieve continuous, on-line detection of clusters. Our experiments with synthetic and real world datasets indicate that dg2cep is able to detect the formation and dispersion of clusters with small latency and higher similarity to Dbscan׳s output than batch-based approaches.

ACS Style

Marcos Roriz Junior; Markus Endler; Francisco José Da Silva E Silva. An on-line algorithm for cluster detection of mobile nodes through complex event processing. Information Systems 2017, 64, 303 -320.

AMA Style

Marcos Roriz Junior, Markus Endler, Francisco José Da Silva E Silva. An on-line algorithm for cluster detection of mobile nodes through complex event processing. Information Systems. 2017; 64 ():303-320.

Chicago/Turabian Style

Marcos Roriz Junior; Markus Endler; Francisco José Da Silva E Silva. 2017. "An on-line algorithm for cluster detection of mobile nodes through complex event processing." Information Systems 64, no. : 303-320.

Journal article
Published: 10 January 2017 in Sensors
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Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we present SituMan, a solution that provides situation awareness to MoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments. SituMan has a fuzzy inference engine to identify patient situations using context data gathered from the sensors embedded in mobile devices. Situations are specified jointly by the patient and mental health professional, and they can represent the patient’s daily routine (e.g., “studying”, “at work”, “working out”). MoodBuster requests mental status self-assessments from patients at adequate moments using situation awareness. In addition, SituMan saves and displays patient situations in a summary, delivering them for consultation by mental health professionals. A first experimental evaluation was performed to assess the user satisfaction with the approaches to define and identify situations. This experiment showed that SituMan was well evaluated in both criteria. A second experiment was performed to assess the accuracy of the fuzzy engine to infer situations. Results from the second experiment showed that the fuzzy inference engine has a good accuracy to identify situations.

ACS Style

Ariel Soares Teles; Artur Rocha; Francisco José Da Silva E Silva; João Correia Lopes; Donal O’Sullivan; Pepijn Van De Ven; Markus Endler. Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness †. Sensors 2017, 17, 127 .

AMA Style

Ariel Soares Teles, Artur Rocha, Francisco José Da Silva E Silva, João Correia Lopes, Donal O’Sullivan, Pepijn Van De Ven, Markus Endler. Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness †. Sensors. 2017; 17 (1):127.

Chicago/Turabian Style

Ariel Soares Teles; Artur Rocha; Francisco José Da Silva E Silva; João Correia Lopes; Donal O’Sullivan; Pepijn Van De Ven; Markus Endler. 2017. "Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness †." Sensors 17, no. 1: 127.