Results 11 to 20 of about 444,673 (170)
Applied Sciences, 2020 The adoption of Precision Farming (PF) practices involving ubiquitous computing advancements and conceptual innovations of “smart” agricultural production toward Agriculture 4.0 is a significant factor for the benefit of sustainable growth ...
Eleni Symeonaki +2 more
doaj +1 more source
Context Aware Middleware Architectures: Survey and Challenges
Sensors, 2015 Context aware applications, which can adapt their behaviors to changing environments, are attracting more and more attention. To simplify the complexity of developing applications, context aware middleware, which introduces context awareness into the ...
Xin Li +3 more
doaj +1 more source
Sensors, 2020 Traditionally, mental health specialists monitor their patients’ social behavior by applying subjective self-report questionnaires in face-to-face meetings.
Ivan Rodrigues de Moura +4 more
doaj +1 more source
, 2009 The advances in IPTV technology enable a new user-centric and interactive TV model, in which context-awareness concept is promising in making users' interaction with the TV dynamic and transparent. In this paper we present several existing contributions that employ context-awareness concept to allow interactive services.
Songbo Song +2 more
openaire +1 more source
Internet of Thing Context Awareness Model
EAI Endorsed Transactions on Context-aware Systems and Applications, 2016 This paper aims to address key concept of context awareness in the Internet of Things (IoT) domain by providing a model that proactively monitors behaviour of devices and services.
Derrick Ntalasha +2 more
doaj +1 more source
Applied Sciences, 2015 Context and situational awareness are key features and trends of the smart grid and enable adaptable, flexible and extendable smart grid services. However, the traditional hardware-dependent communication infrastructure is not designed to identify the ...
Jaebeom Kim, Fethi Filali, Young-Bae Ko
doaj +1 more source
Context-aware clustering [PDF]
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008 Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constraints into clustering results. This paper studies an interesting problem: can the supervision come from inside, i.e., the unsupervised training data themselves? If the data samples are not independent, we can
Junsong Yuan 0001, Ying Wu 0001
openaire +1 more source
Sensors, 2015 This paper presents the results of research on the use of smartphone sensors (namely, GPS and accelerometers), geospatial information (points of interest, such as bus stops and train stations) and machine learning (ML) to sense mobility contexts.
Robert E. Guinness
doaj +1 more source
A Passive RF Testbed for Human Posture Classification in FM Radio Bands
Sensors, 2023 This paper explores the opportunities and challenges for classifying human posture in indoor scenarios by analyzing the Frequency-Modulated (FM) radio broadcasting signal received at multiple locations.
João Pereira +2 more
doaj +1 more source
, 2008 Context-aware computing has increasingly gained the attention of the research community because, as it is the case with human interactions, context information provides the background against which it is possible to more accurately interpret communicative acts without the need to explicitly state everything that might be relevant.
Bruno Gonçalves +2 more
openaire +2 more sources