Enabling Context-Awareness by Predicate Detection in Asynchronous Environments

2016 ◽  
Vol 65 (2) ◽  
pp. 522-534 ◽  
Author(s):  
Yiling Yang ◽  
Yu Huang ◽  
Xiaoxing Ma ◽  
Jian Lu
Keyword(s):  
Context Awareness ◽  
Predicate Detection ◽  
Asynchronous Environments

scholarly journals WORK DONE ON MIDDLEWARE INFRASTRUCTURE FOR PREDICATE DETECTION

2017 ◽  
pp. 77-81
Author(s):  
NAGMA FATIMA ◽  
SONAL SHARMA ◽  
SHIPRA SRIVASTAVA
Keyword(s):  
Context Awareness ◽  
Essential Feature ◽  
Consistency Checking ◽  
Predicate Detection ◽  
Logical Time ◽  
Global Clock ◽  
Multiple Context ◽  
Runtime Detection ◽  
Asynchronous Environments ◽  
Work Done

Context-awareness is an essential feature of pervasive applications, and runtime detection of contextual properties is one of the primary approaches to enabling context awareness. However, existing context-aware middleware does not provide sufficient support for detection of contextual properties in asynchronous environments. The contextual activities usually involve multiple context collecting devices, which are fully-decentralized and interact in an asynchronous manner. However, existing context consistency checking schemes do not work in asynchronous environments, since they implicitly assume the availability of a global clock or relay on synchronized interactions. To this end, we present the Middleware Infrastructure for Predicate detection in Asynchronous environments (MIPA), which supports context awareness based on logical time. Design and Structure of MIPA are explained in detail.

scholarly journals MIDDLEWARE INFRASTRUCTURE FOR PREDICATE DETECTION IN ASYNCHRONOUS ENVIRONMENT

2015 ◽  
pp. 294-298
Author(s):  
NAGMA FATIMA ◽  
SHIPRA SRIVASTAVA ◽  
SONAL SHARMA
Keyword(s):  
Context Awareness ◽  
Essential Feature ◽  
Consistency Checking ◽  
Predicate Detection ◽  
Logical Time ◽  
Global Clock ◽  
Multiple Context ◽  
Runtime Detection ◽  
Asynchronous Environments ◽  
Pervasive Applications

Context-awareness is an essential feature of pervasive applications, and runtime detection of contextual properties is one of the primary approaches to enabling context awareness. However, existing context-aware middleware does not provide sufficient support for detection of contextual properties in asynchronous environments. The contextual activities usually involve multiple context collecting devices, which are fully-decentralized and interact in an asynchronous manner. However, existing context consistency checking schemes do not work in asynchronous environments, since they implicitly assume the availability of a global clock or relay on synchronized interactions. To this end, we present the Middleware Infrastructure for Predicate detection in Asynchronous environments (MIPA), which supports context awareness based on logical time. Design and Structure of MIPA are explained in detail.

Case study of achieving context-awareness based on predicate detection

2013 ◽  
Vol 33 (12) ◽  
pp. 3363-3367
Author(s):  
Chao FANG ◽  
Yiling YANG ◽  
Yu HUANG
Keyword(s):  
Context Awareness ◽  
Predicate Detection

scholarly journals A Concept for Context Awareness in Smart Environments

2020 ◽  
Vol 6 (3) ◽  
pp. 380-383
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Martin Holzwarth ◽  
Julian Sessner ◽  
Jörg Franke ◽  
...  
Keyword(s):  
Context Awareness ◽  
Smart Home ◽  
Daily Life ◽  
Smart Environments ◽  
Emotion Detection ◽  
Post Intervention ◽  
Detection Software

AbstractAll aspects of daily life increasingly include digitization. So-called „smart home“ technologies, as well as „wearables“, are gaining attention from more and more dwellers. Therefore, sensor-based, individualized, AI-based services for improved post-intervention monitoring and therapy accompaniment will become feasible and possible if these systems offer a related context-awareness. This paper provides an approach on how to sense and interpret specific contexts with the help of wearables, smartwatches, smart home sensors, and emotion detection software.

scholarly journals Context-aware recommender systems and cultural heritage: a survey

2021 ◽  
Author(s):  
Mario Casillo ◽  
Francesco Colace ◽  
Dajana Conte ◽  
Marco Lombardi ◽  
Domenico Santaniello ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Recommender Systems ◽  
Context Awareness ◽  
Technological Development ◽  
Context Aware ◽  
Human Beings ◽  
Context Analysis ◽  
Analysis Techniques ◽  
The Right ◽  
Technological Improvements

AbstractIn the Big Data era, every sector has adapted to technological development to service the vast amount of information available. In this way, each field has benefited from technological improvements over the years. The cultural and artistic field was no exception, and several studies contributed to the aim of the interaction between human beings and artistic-cultural heritage. In this scenario, systems able to analyze the current situation and recommend the right services play a crucial role. In particular, in the Recommender Systems field, Context-Awareness helps to improve the recommendations provided. This article aims to present a general overview of the introduction of Context analysis techniques in Recommender Systems and discuss some challenging applications to the Cultural Heritage field.

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