Context-Aware Pervasive Systems and Applications

Mahalle, Parikshit N.; Dhotre, Prashant Shantaram

doi:10.1007/978-981-32-9952-8

Cited by 7 publications

(4 citation statements)

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“…It has long aimed to create intelligent, autonomous, and adaptable systems that function in complex and dynamic environments. Discussion and studies on this subject have evolved in recent years [36]- [40]. An interoperable, heterogeneous environment is offered by a smart space for users, devices, and services to communicate in.…”

Section: Modeling Smart Space Systemsmentioning

confidence: 99%

A Resource Aware Memory Requirement Calculation Model for Memory Constrained Context-Aware Systems

Ali,

Arshad,

Uddin

et al. 2024

IEEE Access

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Smart spaces are physical environments equipped with sensors, actuators, and other computing devices to gather data and provide intelligent services to users. These spaces are made possible by ubiquitous computing, particularly context-aware computing. Although these systems are mainly implemented on mobile and other resource-constrained wearable devices, different techniques have been adopted for their implementation. Rule-based reasoning is a relatively easyto-implement approach that can solve real-world problems. Rule-based systems rely on a set of assertions that constitute the working memory and a set of rules that govern what should be done with the set of assertions. Despite its relative simplicity, the working memory size is a critical factor in developing these systems, particularly for resource-constrained devices. In this paper, we propose techniques for efficiently calculating the working memory size. Our results show that all three techniques, DWM, APS, and SAPS, performed well in different ways. However, APS and SAPS consumed from 25% to 100% less memory than existing techniques.

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Section: Modeling Smart Space Systemsmentioning

confidence: 99%

A Resource Aware Memory Requirement Calculation Model for Memory Constrained Context-Aware Systems

Ali,

Arshad,

Uddin

et al. 2024

IEEE Access

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“…MDA in context-aware pervasive systems has been the subject of much research that selects and executes adaptation services to provide adapted documents [ 6 , 8 – 12 , 14 , 15 , 17 , 27 – 29 ]. As reported in [ 23 ], context-aware pervasive systems include three basic elements: sensing , thinking and acting . Next, we detail these elements in the field of MDA.…”

Section: Multimedia Documents Adaptation: State-of-the-artmentioning

confidence: 99%

“… Sensing : it is defined as the acquisition of data about the physical world used by the pervasive systems through sources of information like sensors and sensing devices. The context includes several sensed information that can be organized into categories [ 23 ]: physical context (e.g. noise level), user context (e.g.…”

Section: Multimedia Documents Adaptation: State-of-the-artmentioning

confidence: 99%

“…This helps mobile systems to sense their environment and thus to adapt their behavior accordingly. Indeed, the technological progress is contributing in making smart devices as a way to understand the context of collected data and concern activity due to their ability to send, collect, store, process and communicate data [ 23 ]. In such cases, the context is associated with three important aspects [ 30 ]: where you are; who you are with and what resources are nearby (smart objects, networks, etc.).…”

Section: Introductionmentioning

confidence: 99%

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Efficient Service Selection in Multimedia Documents Adaptation Processes

Laboudi

Moudjari

Saighi

et al. 2021

Pattern Recognition and Artificial Intelligence

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Pervasive systems help access to multimedia documents at any time, from anywhere and through several devices (smart TV, laptop, tablet, etc.). Nevertheless, due to changes in users’ contexts (e.g. noisy environment, preferred language, public place, etc.), restrictions on correct access to these documents may be imposed. One possible solution is to adapt their contents using adaptation services so that they comply, as far as possible, with the current constraints. In this respect, several adaptation approaches have been proposed. However, when it comes to selecting the required adaptation services, they often carry out this task according to predefined configurations or deterministic algorithms. Actually, the efficient selection of adaptation services is one of the key-elements involved in improving the quality of service in adaptation processes. To deal with this issue (i.e. the efficient selection of adaptation services), we first provide an enriched problem formulation as well as methods that we use in problem-solving. Then, we involve standard and compact evolutionary algorithms to find efficient adaptation plans. The standard version is usually adopted in systems that are not subject to specific constraints. The compact one is used in systems for which constraints on computational resources and execution time are considered. The proposal is validated through simulation, experiments and comparisons according to performance, execution time and energy consumption. The obtained results are satisfactory and encouraging.

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