Two-Level Software Architecture for Context-Aware Mobile Distributed Systems

Abstract

Currently, there is a trend to develop context-aware mobile distributed systems (MDS), such as systems that recommend places according to the location and the path of users. Some of the key challenges in the development of this type of systems are the following: acquisition, management and use of data context. In this paper, we propose two-level software architecture to obtain, use and provide context information in a MDS. From our point of view, the proposed architecture takes into account the requirements that emerge from data collection, use and management of context, as well as the own features of MDS. Based on our software architecture, a context-aware group communication system is implemented, which allows members to have four types of context: physical activity, logical activity, location and level of sound.

Fully Responsive Image and Speech Detection Artificial Yankee (FRIDAY): Human Assistant

“…A number of systems which contribute to similar process are connected to a Central processing unit over same network. It uses server client mechanisms wherein each client system performs the task and sends the result to the central system which takes decision based on the results from each client [11].…”

“…An automatic speech recognition system helps to enable communication between human and computer. Here, a continuous speech recognition system is developed and activated using KALDI toolkit [11,12]. The system uses MFCC features and its transformations such as Linear Discriminant Analysis (LDA) and Maximum Likelihood Linear Transformation (MLLT) are extracted from speech sentences.…”

Software Architectures for Adaptive Mobile Learning Systems: A Systematic Literature Review

“…From this information, a possible context in which a learner is immersed can be defined, e.g., location, noise, movements, light, physical activities, interactions with the application directly, or obtaining a history, among other situations. Fulfilling this requirement involves various tasks related to context information, such as sensing, preprocessing, modeling, storage, distribution, reasoning, delivery, and discovery [36].…”

“…This information is obtained mainly from the learner's characteristics, such as learning styles, knowledge, behaviors, and preferences. Fulfilling this requirement involves carrying out various tasks on student information, such as processing, modeling, storage, distribution, reasoning, delivery, and discovery [36].…”

“…This requirement also involves establishing the difficulty levels of the learning topics addressed and the educational content formats available. Fulfilling this requirement also involves performing various tasks on domain information, such as processing, modeling, storage, distribution, reasoning, and delivery [36].…”