“…This system [37] aids the improvement of context-aware communication applications as a rule. The system simplifies the communication services class from Figure 7, which is accessible by the visitor's assistance and proposes a proficient and general system for developing context-aware communication services for the visitor's assistance.…”
Section: Conventional Framework For Context-aware Communication Services For Visitor's Guidesmentioning
confidence: 99%
“…The system simplifies the communication services class from Figure 7, which is accessible by the visitor's assistance and proposes a proficient and general system for developing context-aware communication services for the visitor's assistance. They provide facilities by configuring a general and generic communication service infrastructure [37].…”
Section: Conventional Framework For Context-aware Communication Services For Visitor's Guidesmentioning
Nowadays, communication engineering technology is merging with the Internet of Things (IoT), which consists of numerous connected devices (referred to as things) around the world. Many researchers have shown significant growth of sensor deployments for multiple smart engineering technologies, such as smart-healthcare, smart-industries, smart-cities, and smart-transportation, etc. In such intelligent engineering technologies, sensors continuously generate a bunch of messages in the network. To enhance the value of the data in the messages, we must know the actuality of the data embedded inside the messages. For this purpose, the contextual information of the data creates a vital challenge. Recently, context-aware computing has emerged to be fruitful in dealing with sensor information. In the ubiquitous computing domain, location is commonly considered one of the most essential sources of context. However, whenever users or applications are concerned with objects, and their site or spatial relationships, location models or spatial models are necessary to form a model of the environment. This paper investigates the area of context-aware messaging and addressing services in diverse IoT applications. The paper examines the notion of context and the use of context within the data exchanged by the sensors in an IoT application for messaging and addressing purposes. Based on the importance and need for context of the information, we identify three critical categories of new IoT applications for context-aware messaging and addressing services: emergency applications, applications for guiding and reminding, and social networking applications. For this purpose, a representative range of systems is reviewed according to the application type, the technology being used, their architecture, the context information, and the services they provide. This survey assists the work of defining an approach for context-aware messaging services domain by discovering the area of context-aware messaging.
“…This system [37] aids the improvement of context-aware communication applications as a rule. The system simplifies the communication services class from Figure 7, which is accessible by the visitor's assistance and proposes a proficient and general system for developing context-aware communication services for the visitor's assistance.…”
Section: Conventional Framework For Context-aware Communication Services For Visitor's Guidesmentioning
confidence: 99%
“…The system simplifies the communication services class from Figure 7, which is accessible by the visitor's assistance and proposes a proficient and general system for developing context-aware communication services for the visitor's assistance. They provide facilities by configuring a general and generic communication service infrastructure [37].…”
Section: Conventional Framework For Context-aware Communication Services For Visitor's Guidesmentioning
Nowadays, communication engineering technology is merging with the Internet of Things (IoT), which consists of numerous connected devices (referred to as things) around the world. Many researchers have shown significant growth of sensor deployments for multiple smart engineering technologies, such as smart-healthcare, smart-industries, smart-cities, and smart-transportation, etc. In such intelligent engineering technologies, sensors continuously generate a bunch of messages in the network. To enhance the value of the data in the messages, we must know the actuality of the data embedded inside the messages. For this purpose, the contextual information of the data creates a vital challenge. Recently, context-aware computing has emerged to be fruitful in dealing with sensor information. In the ubiquitous computing domain, location is commonly considered one of the most essential sources of context. However, whenever users or applications are concerned with objects, and their site or spatial relationships, location models or spatial models are necessary to form a model of the environment. This paper investigates the area of context-aware messaging and addressing services in diverse IoT applications. The paper examines the notion of context and the use of context within the data exchanged by the sensors in an IoT application for messaging and addressing purposes. Based on the importance and need for context of the information, we identify three critical categories of new IoT applications for context-aware messaging and addressing services: emergency applications, applications for guiding and reminding, and social networking applications. For this purpose, a representative range of systems is reviewed according to the application type, the technology being used, their architecture, the context information, and the services they provide. This survey assists the work of defining an approach for context-aware messaging services domain by discovering the area of context-aware messaging.
“…Finally, Kuflik et al [26] present a framework for context aware communication in visitor's guides. This framework uses information from four different contexts: Contextualized Information, which consists, for example, on information about the exhibits in a museum; Spatial Context, which is the visitor's current location; Temporal Context, which encompasses the current time and visit phase and duration; and finally, the Social Context, which refers to the role of a user inside a group.…”
Section: Adaptive Mobile Visualization Frameworkmentioning
The evolution of mobile devices and the development of high speed wireless
networks have supported a widespread use of these devices with increasingly
more complex applications. This reality has fostered the research in the
field of information visualization in mobile devices. However, the limited
screen space, resource constraints and interaction restrictions impose
difficulties to developers and users of these applications. An approach to
address these problems is to adapt the visualization to the user context.
However, these proposals are normally designed in an ad-hoc fashion and are
difficult to generalize. In addition, existing solutions are focused only in
some subset of possible characteristics of the user context or only address a
very specific domain and related adaptations. The objective of this paper is
to present the design of a framework for adaptive mobile visualization (AMV)
applications, denominated Chameleon, and the development and evaluation of
prototypes that use this conceptual-based framework.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.