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  • In Jour Smart Sensing And Intelligent Systems

 

Article

OSGi-Based Context-Aware Middleware for Building Intelligent Services in a Smart Home Environment

. However, these data are used by context awareness system to analysis and process, so as to realize different person in different environment using every kind of devices and through any different existing network system, and still could enjoy the personality applications and services in any time they want. This thesis proposed Intelligent Context-Aware Middleware is including system core modeling, context provider, context analysis model, reasoning system, scenario analysis model and some other APIs to

SHU-CHEN CHENG, CHIEN-FENG LAI

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 135–155

Research Article

A Context-aware Smart Classroom for Enhanced Learning Environment

classroom remain operating which causes an unjustified energy consumption. The aim of this paper is to propose a context-aware automation of classrooms which contributes to improving the quality of the educational process by automating tasks that are not directly related to the content of the courses and consume time and effort that would affect the smooth running of the educational process. The proposed smart classroom will provide a comfortable learning environment that ensures more emphasis on course

Moeiz Miraoui

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–8

Article

SURVEY OF SEMANTIC SIMILARITY MEASURES IN PERVASIVE COMPUTING

domain are limited to the recommendation or discovery of context-aware services. In this article, we therefore present a survey of context-aware semantic similarity measures used in various areas of pervasive computing.

Djamel Guessoum, Moeiz Miraoui, Chakib Tadj

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 125–158

research-article

A review of privacy-preserving human and human activity recognition

trained model is correlated with an increase in the success of the membership inference attack due to adversarial generalization. Nasr et al. (2018) and Hayes and Ohrimenko (2018) design privacy mechanisms to reduce adversarial generalization. However, member inference attacks require in-depth research related to adversarial training. If the approach that controls privacy is static, it is difficult to ensure satisfactory privacy preservation for dynamic context-aware applications. Large amounts of

Im Y. Jung

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–13

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