Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Markus Endler"'
Publikováno v:
Journal of the Brazilian Computer Society, Vol 27, Iss 1, Pp 1-15 (2021)
Abstract Several applications can benefit from recording information about the places a mobile entity visits and the length of time it spends there (e.g., shoppers, employees, buses, portable equipment, autonomous robots). This paper presents our app
Externí odkaz:
https://doaj.org/article/dced81c3eedc42e292214d55848c2521
Publikováno v:
Journal of Internet Services and Applications, Vol 11, Iss 1, Pp 1-44 (2020)
Abstract Wireless sensor networks (WSNs) are an important means of collecting data in a variety of situations, such as the monitoring of large or hazardous areas. The retrieval of WSN data can yield better results through the use of unmanned aerial v
Externí odkaz:
https://doaj.org/article/160b96fcaafd4483882c63ef5f83eaa7
Publikováno v:
Journal of Internet Services and Applications, Vol 10, Iss 1, Pp 1-28 (2019)
Abstract Spatial concentrations (or spatial clusters) of moving objects, such as vehicles and humans, is a mobility pattern that is relevant to many applications. Fast detection of this pattern and its evolution, e.g., if the cluster is shrinking or
Externí odkaz:
https://doaj.org/article/3686cb153be847049277980843f59e45
Autor:
Igor Vasconcelos, Rafael Oliveira Vasconcelos, Bruno Olivieri, Marcos Roriz, Markus Endler, Methanias Colaço Junior
Publikováno v:
Journal of Internet Services and Applications, Vol 8, Iss 1, Pp 1-30 (2017)
Abstract The majority of fatal car crashes are caused by reckless driving. With the sophistication of vehicle instrumentation, reckless maneuvers, such as abrupt turns, acceleration, and deceleration, can now be accurately detected by analyzing data
Externí odkaz:
https://doaj.org/article/2fa21a9e79894b76b0d4888b61737f34
Autor:
Ivan Rodrigues de Moura, Ariel Soares Teles, Markus Endler, Luciano Reis Coutinho, Francisco José da Silva e Silva
Publikováno v:
Sensors, Vol 21, Iss 1, p 86 (2020)
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
Externí odkaz:
https://doaj.org/article/48eead62766240c090b0c9390b76dbe3
Autor:
Berto de Tácio Pereira Gomes, Luiz Carlos Melo Muniz, Francisco José da Silva e Silva, Davi Viana dos Santos, Rafael Fernandes Lopes, Luciano Reis Coutinho, Felipe Oliveira Carvalho, Markus Endler
Publikováno v:
Sensors, Vol 17, Iss 12, p 2853 (2017)
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 col
Externí odkaz:
https://doaj.org/article/75a38763caf84646a793753f5d093505
Autor:
Ariel Soares Teles, Artur Rocha, Francisco José da Silva e Silva, João Correia Lopes, Donal O’Sullivan, Pepijn Van de Ven, Markus Endler
Publikováno v:
Sensors, Vol 17, Iss 1, p 127 (2017)
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 situati
Externí odkaz:
https://doaj.org/article/1d1928d68b6b4bd29be63855c85ec96a
Autor:
Antonio Iyda Paganelli, Pedro Elkind Velmovitsky, Adriano Branco, Markus Endler, Plinio Pelegrini Morita, Paulo Alencar, Donald Cowan
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Antonio Iyda Paganelli, Andre Sarmento, Adriano Branco, Markus Endler, Nathalia Nascimento, Paulo Alencar, Donald Cowan
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain).