ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
The Internet of Things (IoT) brings the real physical world, virtual cyber world and digital world together. Varieties of sensors, such as mobile termainals, cameras, microchips, wearables and even the Internet and socialized human beings, play an important role in IoT. These sensors collect, generate, and preserve a diversity of data with different representations, scales, and densities from various “things”, which offers IoT the ability to measure, infer and understant environments. Integrating things, data and semantic opens opportunities for knowledge discovery, and further makes it possible to provide advanced and intelligent services.
Data (information) fusion is an essential and integral part of IoT. Data in IoT characterised by dynamic and heterogeneous leads to inadequacy of simple single-source analysis methods. Data fusion integrates multiple data and knowledge into a consistent, accurate and useful representation, in which the data are fused to high-quality information to provide a reliable decision support. Therefore, it is important to investigate techniques for understanding and resolving issues about data fusion in IoT.