Titlebook: Ambient Intelligence; Second International David V. Keyson,Mary Lou Maher,Ben J. A. Kröse Conference proceedings 2011 Springer-Verlag GmbH

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书目名称Ambient Intelligence影响因子(影响力)




书目名称Ambient Intelligence影响因子(影响力)学科排名




书目名称Ambient Intelligence网络公开度




书目名称Ambient Intelligence网络公开度学科排名




书目名称Ambient Intelligence被引频次




书目名称Ambient Intelligence被引频次学科排名




书目名称Ambient Intelligence年度引用




书目名称Ambient Intelligence年度引用学科排名




书目名称Ambient Intelligence读者反馈




书目名称Ambient Intelligence读者反馈学科排名

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组装

暂时过来

Discrimination of Multiple Objects and Expanding Positioning Area for Indoor Positioning Systems Usipositioning system can be applied to the location detection of a moving object such as a person or a goods trolley over a wide indoor area. The proposed system works by means of ultrasonic signals. This makes it easy to avoid multipath effects because the propagation velocity of ultrasonic signals i

强有力

Insensate

Using Constraint Optimization for Conflict Resolution and Detail Control in Activity Recognitionecognition system may report activities that are logically inconsistent with each other, e.g., the user is sleeping on the couch and at the same time is watching TV. In this work, we develop a rule-based recognition system for hierarchically-organized activities that returns only logically consisten

价值在贬值

Knowledge-Based Systems for Ambient Social Interactionss, and available services. We propose a framework for aggregating information from different sources, and utilize a novel representation, Entity Notation (EN), as a starting point of connecting all information to knowledge-based systems, which offers good possibilities to support ambient social inte

ENNUI

Promotion

Hierarchical Activity Recognition Using Automatically Clustered Actionsigence. In this paper we show that using a hierarchical structure to model the activities from sensor data can be very beneficial for the recognition performance of the model. We present a two-layer hierarchical model in which activities consist of a sequence of actions. During training, sensor data

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