scholarly journals Context-Aware Adaptation of Component-Based Systems: An Active Repository Approach

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Sindolfo Miranda Filho ◽  
Julio Melo ◽  
Luiz Eduardo Leite ◽  
Guido Lemos
Keyword(s):  
Context Aware ◽  
Current Configuration ◽  
Fuzzy Logic Algorithm ◽  
Running System ◽  
Component Based Software Engineering ◽  
Context Aware System ◽  
The Given ◽  
To Receive ◽  
Component Repository

Context-aware systems are able to monitor and automatically adapt their operation accordingly to the execution context in which they are introduced. Component-based software engineering (CBSE) focuses on the development and reuse of self-contained software assets in order to achieve better productivity and quality. In order to store and retrieve components, CBSE employs component repository systems to provide components to the system developers. This paper presents an active component repository that is able to receive the current configuration from the context-aware system and compute the components and the new architecture that better fit the given context. Since the repository has a wide knowledge of available components, it can better decide which configuration is more suitable to the running system. The repository applies Fuzzy logic algorithm to evaluate the adequacy level of the components and GRASP algorithm to mount the new system architecture. In order to verify the feasibility of our approach, we use a digital TV middleware case study to achieve experimental results.

scholarly journals Context-aware architecture for Industry 4.0-ready manufacturing facility

2021 ◽  
Vol 8 (8) ◽  
pp. 20-30
Author(s):  
Olayan Alharbi ◽  
◽  
Mafawez Alharbi ◽  
Keyword(s):  
Mathematical Model ◽  
Industry 4.0 ◽  
Historical Data ◽  
Manufacturing Sector ◽  
Context Aware ◽  
Planning Systems ◽  
Manufacturing Facility ◽  
Extensive Data ◽  
Context Aware System

The industry 4.0 revolution is empowering the manufacturing sector with several advantages from the production to consumption stage of products, or beyond that. Recently, operators in factories have been accumulating extensive data from machine sensors and other organizational and operational technologies such as company enterprise and planning systems. Notably, having access to extensive data is a double-edged sword. To the best of our knowledge, there is not any work in the literature that proposed architecture for industry 4.0 based on a context-aware system. The aim of this research is to provide the context-aware architecture to enhance decision-making in factories and reduce the exposure of operators to the necessary and related findings. The proposed system is contextually aware of three aspects, operator feedback for previous similar findings, specifications of products under production, and historical data of manufacturing machines. The proposed system is proactive which attracted operator attention only when the findings were contextually related, based on the aforementioned aspects. The contributions of this research an intelligent architecture, a case study, and a mathematical model.

Inference of Human Intentions in Smart Home Environments

2013 ◽  
Vol 1 (2) ◽  
pp. 26-42
Author(s):  
Katsunori Oyama ◽  
Carl K. Chang ◽  
Simanta Mitra
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Context Aware ◽  
Different Types ◽  
Human Intention ◽  
Smart Home Environment ◽  
System Requirements ◽  
Context Aware System ◽  
Context Models

Most of context models have limited capability in involving human intention for system evolvability and self-adaptability. Human intention in context aware systems can evolve at any time; however, context aware systems based on these context models can provide only standard services that are often insufficient for specific user needs. Consequently, evolving human intentions result in changes in system requirements. Moreover, an intention must be analyzed from tangled relations with different types of contexts. In the past, this complexity has prevented researchers from using computational methods for analyzing or specifying human intention in context aware system design. The authors investigated the possibility for inferring human intentions from contexts and situations, and deploying appropriate services that users require during system run-time. This paper presents an inference ontology to represent stepwise inference tasks, and then evaluate contexts surrounding a user who accesses PCs through a case study of the smart home environment.

Evaluating the Context Aware Browser

2011 ◽  
pp. 1-15
Author(s):  
Davide Menegon ◽  
Stefano Mizzaro ◽  
Elena Nazzi ◽  
Luca Vassena
Keyword(s):  
Mobile Devices ◽  
Early Stage ◽  
Context Aware ◽  
Web Content ◽  
Reliable Tool ◽  
Retrieval Systems ◽  
Web Contents ◽  
Current Context ◽  
Context Aware System

The authors discuss the evaluation of highly interactive and novel context-aware system with a methodology based on a TREC-like benchmark. We take as a case study an application for Web content perusal by means of context-aware mobile devices, named Context-Aware Browser. In this application, starting from the representation of the user’s current context, queries are automatically constructed and used to retrieve the most relevant Web contents. Since several alternatives for query construction exist, it is important to compare their effectiveness, and to this aim we developed a TREC-like benchmark. We present our approach to early stage evaluation, describing our aims and the techniques we apply. The authors underline how, for the evaluation of context-aware retrieval systems, the benchmark methodology adopted can be an extensible and reliable tool.

scholarly journals Designing a VR game for public speaking based on speakers features: a case study

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Meriem El-Yamri ◽  
Alejandro Romero-Hernandez ◽  
Manuel Gonzalez-Riojo ◽  
Borja Manero
Keyword(s):  
Public Speaking ◽  
Virtual Reality System ◽  
Safe Environment ◽  
Voice Tone ◽  
Ancient Times ◽  
Threatening Situation ◽  
The Given ◽  
To Receive ◽  
Speech Content

Abstract Oratory or the art of public speaking with eloquence has been cultivated since ancient times. However, the fear of speaking in public -a disproportionate reaction to the threatening situation of facing an audience- affects a very important part of the population. This work arises from the need to help alleviate this fear through a tool where to train the ability of public speaking. To this purpose, we built a virtual reality system that offers the speaker a safe environment to practice presentations. Since the audience is the only way to receive feedback when giving a speech, our system offer s a virtual audience that reacts and gives real-time feedback based on the emotions conveyed by three parameters: voice tone, speech content and speaker’s gaze. In this paper, we detail the modelling of a behavioural-realistic audience just focusing on the speakers’ voice tone: 1) by presenting an algorithm that controls the audience’ reactions based on the emotions beamed by the speaker, and 2) by carrying out an experiment comparing the reactions generated by the agents with those of a real audience to the same speech, in order to refine the given algorithm. In this experiment, the audience subjects are asked to fill a questionnaire - level of engagement and perceived emotions - for a speech performed by professional actors representing different emotions. Afterwards, we compared the reactions of said audience with the ones generated by our algorithm, and used the results to improve it.

Dynamic Context-Aware System Based on Multi-Level Material Data Control Model

2013 ◽  
Vol 423-426 ◽  
pp. 2216-2219
Author(s):  
Dong Juan Xue ◽  
Ying Pan
Keyword(s):  
Data Integration ◽  
Control Model ◽  
State Transitions ◽  
Context Aware ◽  
Integration Model ◽  
Data Control ◽  
Multi Level ◽  
Context Aware System ◽  
Dynamic Context

Context-aware applications can sense and explore the context of production processes to provide proper and useful services to managers in workshop. Firstly, a multi-level ontology model of materials is found which is expressed in OWL as an ontology collection of describing places ages and events and associated properties among them. Secondly, a multi-level context-aware control model and its mechanism are produced. In this model, data integration is controlled by the demand state transitions at different levels including workflow levels, control levels and data levels, which incorporates dynamic context information. And context is classified based on the analysis of demand into five main categories, which is further categorized as simple condition and composite condition to form a multi-level context. And the data integration model is implemented dynamically by checking the context constraint associated with each application task at the time of the specific request submission. Finally, a case study is developed within a manufacturing enterprise to show the benefits of the model.

Literary Representations of Female Identity

2002 ◽  
Vol 19 (4) ◽  
pp. 23-41
Author(s):  
Safoi Babana-Hampton
Keyword(s):  
Related Problem ◽  
Female Identity ◽  
Literary Representations ◽  
Main Interest ◽  
Female Relationships ◽  
Arab Muslim ◽  
Feminine Writing ◽  
The Given ◽  
Female Experience

The essay examines the texts of the two women writers - Leila Abouzeid (from Morocco) and Nawal El Saadawi (from Egypt) - as offering two female perspectives within what is commonly referred to as "feminine" writing in the Arab Muslim world. My main interest is to explore the various discursive articulations of female identity that are challenged or foregrounded as a positive model. The essay points to the serious pitfalls of some feminist narratives in Arab-Muslim societies by dealing with a related problem: the author's setting up of convenient conceptual dichotomies, which account for the female experience, that reduce male-female relationships in the given social context to a fundamentally antagonistic one. Abouzeid's novel will be a case study of a more positive but also realistic and complex perspec­tive on female experience ...

Algorithms for Rule Generation and Matchmaking in Context-Aware System

2009 ◽  
Vol 20 (10) ◽  
pp. 2655-2666 ◽  
Author(s):  
Dong LIU ◽  
Xiang-Wu MENG ◽  
Jun-Liang CHEN ◽  
Ya-Mei XIA
Keyword(s):  
Context Aware ◽  
Rule Generation ◽  
Context Aware System
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