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

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書(shū)目名稱Ambient Intelligence影響因子(影響力)




書(shū)目名稱Ambient Intelligence影響因子(影響力)學(xué)科排名




書(shū)目名稱Ambient Intelligence網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Ambient Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Ambient Intelligence被引頻次




書(shū)目名稱Ambient Intelligence被引頻次學(xué)科排名




書(shū)目名稱Ambient Intelligence年度引用




書(shū)目名稱Ambient Intelligence年度引用學(xué)科排名




書(shū)目名稱Ambient Intelligence讀者反饋




書(shū)目名稱Ambient Intelligence讀者反饋學(xué)科排名

exacerbate

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暫時(shí)過(guò)來(lái)

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

強(qiáng)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

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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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