Spatio-temporal Data Analysis for Realizing Ambient Intelligence
نویسندگان
چکیده
منابع مشابه
A framework for intelligence analysis using spatio-temporal storytelling
Social media have ushered in alternative modalities to propagate news and developments rapidly. Just as traditional IR matured to modeling storylines from search results, we are now at a point to study how stories organize and evolve in additional mediums such as Twitter, a new frontier for intelligence analysis. This study takes as input news articles as well as social media feeds and extracts...
متن کاملContext-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network
Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...
متن کاملProcessing Location Data for Ambient Intelligence Applications
The paper presents contributions in the area of location data processing for pattern discovery. This work forms part of a project which explores an ambient intelligence application designed to present individual users with an overview of their time usage patterns. The application uses location data to build interfaces and visualizations which highlight changes in personal routines, with the aim...
متن کاملRealizing Intelligence
Order exists in the world. The intelligence process enables us to realize that order, to some extent. We provide a high level description of intelligence using simple definitions, basic building blocks, a conceptual framework and general hierarchy. This perspective includes multiple levels of abstraction occurring in space and in time. The resulting model offers simple, useful ways to help real...
متن کاملMethods for Analysis of Spatio-Temporal Bluetooth Tracking Data
Analysis of people’s movements represented by continuous sequences of spatio-temporal data tuples have received lots of attention in recent years. The focus of those studies was mostly GPS data recorded on a constant sample rate. However, the creation of intelligent location-aware models and environments also requires reliable localization in indoor environments as well as in mixed indoor/outdo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Communications Society Magazine
سال: 2018
ISSN: 2186-0661
DOI: 10.1587/bplus.12.21