通过基于软件的主题5G管理在环境辅助生活中进行参数贝叶斯恢复
Parametric Bayesian Rejuvenation in Ambient Assisted Living through Software-based Thematic 5G Management
摘要：
改善老年人的参与对于恢复独立生活至关重要。然而，尽管有社会经济前景，推荐的做法缺乏对个人特质的认识。随着智能对象/事物和个性化服务的出现，物联网最近的激增为上下文感知服务管理铺平了道路。最后，本文的主要目标是开发一个上下文感知模型预测参与老年人护理。因此，确定了老年人参与的关键要求，即（a）发现相关背景（b）扩大参与（随着时间的推移）。然而，这一规定也面临着诸多挑战，如语境的不可观察性、语境的独立性和语境的复合性。因此，提出了一个基于主题模型的模型来解决上下文的可扩展性及其与参与度的共轭关系。最后，给出了系统框架，通过参与者的意见、使用和反馈，明确了上下文感知服务的关键目标。
英文摘要：
Ameliorating elderly engagement is vital in rejuvenating independent living. However, recommended practices lack realization of personal traits despite socio -economic promise. The recent proliferation of IoT with the advent of smart-objects/things and personalized services pave the way for context-aware service management. Eventually, the major goal of this paper is to develop a context-aware model in predicting engagement of elderly care. Hence, key requirements are identified for elderly engagement, namely (a) discovery of contexts, which are relevant (b) scaling up (over time) of engagement. However, paramount challenges are imposed on this stipulation, such as, un-observability, independence and composite relationship of contexts. Therefore, a Topic-model based model is proposed to address scalability of contexts and its conjugal relationship with engagement. Eventually, systematic framework is demonstrated, which pinpoints key goals of context-aware services by participants' opinions, usage and feed-back.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
