• No results found

Data and Information Fusion

INFORMATION FUSION FOR MULTI-SENSORY DATA

INFORMATION FUSION FOR MULTI-SENSORY DATA

... of data that needs to be processed, delivered, and assessed according to the application ...sensory data and generate the inference parameter to take intelligent decisions for autonomous ...on. ...

12

Application of information fusion technologies for multi source data

Application of information fusion technologies for multi source data

... of information fusion technologies in traffic data are ...multi-source information fusion technologies of urban public traffic data, including GIS data, GPS data, ...

5

Information Fusion towards Multi-sensor Data using
Cognitive Computing Approach

Information Fusion towards Multi-sensor Data using Cognitive Computing Approach

... the information fusion from multi-sensor data is difficult to design with traditional software development approach which uses major software packages and traditional data ...for ...

10

Towards unravelling the relationship between on body, environmental and emotion data using sensor information fusion approach

Towards unravelling the relationship between on body, environmental and emotion data using sensor information fusion approach

... sensor data using information fusion techniques at all the three fusion ...the data is collected using on-body sensors and then fused with other contextual user data such as ...

15

temporal eligibility criteria; 3) Demonstration of the need for information fusion across structured and unstructured data in solving certain

temporal eligibility criteria; 3) Demonstration of the need for information fusion across structured and unstructured data in solving certain

... unstructured data is essential to resolving eligibility criteria in 59% of the CLL trial criteria and 77% of the prostate cancer ...and information fusion across structured and unstructured ...

6

Based on Information Fusion Technique with Data Mining in the Application of Finance Early-Warning

Based on Information Fusion Technique with Data Mining in the Application of Finance Early-Warning

... although data mining techniques have been widely applied to predict finance crisis, many scholars only use one single data mining technique to make forecasting, and the result accuracy is limited, sometimes ...

9

Fuzzy Integral Based Information Fusion for Water Quality Monitoring Using Remote Sensing Data

Fuzzy Integral Based Information Fusion for Water Quality Monitoring Using Remote Sensing Data

... based fusion model is adopted, mainly considering the fact that the fusion algorithm of water quality classification needs not only the objective results provided by inversion models, but also the ...

8

Information fusion of ITS based on granular computing

Information fusion of ITS based on granular computing

... fuzzy data to establish the congestion impact factor index system, and build congestion recognition model based on quotient space ...raw data. The use of the quotient space theory normalized data, ...

7

Sensor defect detection in multisensor information fusion

Sensor defect detection in multisensor information fusion

... Fusion is possible at three distinct levels (Hall and Lli- nas, 2001b). At signal level, sensor signals are combined. It is necessary that the signals are comparable in the sense of data amount, i.e. ...

17

Information Fusion in WSNs: A Review

Information Fusion in WSNs: A Review

... of information fusion that aims to reduce the data volume (typically, summarization), which can manipulate any type of data/information, including sensory ...applies information ...

7

A NEXT-GEN DATA FUSION ? BIG DATA FUSION

A NEXT-GEN DATA FUSION ? BIG DATA FUSION

... 7 Information fusion typically addresses three levels of abstraction: (1) measurements, (2) characteristics, and (3) ...of data fusion based on the abstraction levels are as follows:(1)low ...

12

Challenges from Information Extraction to Information Fusion

Challenges from Information Extraction to Information Fusion

... of Information Extraction (IE) techniques has made it possible to extract ‘facts’ (entities, relations and events) from un- structured documents, and converting them into structured representations ...ous ...

9

INTELLIGENCE AND INFORMATION SHARING INITIATIVE: HOMELAND SECURITY INTELLIGENCE & INFORMATION FUSION

INTELLIGENCE AND INFORMATION SHARING INITIATIVE: HOMELAND SECURITY INTELLIGENCE & INFORMATION FUSION

... Intelligence fusion is a clearly defined, ongoing process that involves the delineation of roles and responsibilities; the creation of requirements; and the collection, blending, analysis, timely dissemination, ...

9

Method of Wireless Sensor Network Data Fusion

Method of Wireless Sensor Network Data Fusion

... large data information in computer networks, a large data fusion method based on wireless sensor networks is de- ...network information fusion algo- rithm in wireless sensor ...

9

Common and distinct components in data fusion

Common and distinct components in data fusion

... several data blocks has been proposed a long time ago [20, 60], but today we can see a renewed interest fueled by the strongly increasing needs in many ...being data fusion, data integration, ...

50

Remote Fingerprinting and Multisensor Data Fusion

Remote Fingerprinting and Multisensor Data Fusion

... As discussed in Section III-A3, we define associative fin- gerprinting as the identification of an affiliation of infected hosts with a given botnet. Associative fingerprinting is only applicable if we are able to ...

8

Nuclear data for fusion technology – the European approach

Nuclear data for fusion technology – the European approach

... Within the recent NDD activities, MCUNED was further enhanced to represent in the deuteron transport simulation directly the deuteron break-up process based on the recent Kalbach formalism. This allows representing the ...

6

Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information

Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information

... the improvement of the model mentioned above, has been proposed in 2014 (Pennington et al., 2014). The improved representation of words gives contribution to the research of NLP tasks including sentiment analysis, and ...

6

Implementation of Multisensor Data Fusion Algorithm

Implementation of Multisensor Data Fusion Algorithm

... (3) information theoretical, statistical, and probabilistic methods; (4) sensor modeling, sensor management, control, and optimization; (5) neural networks, approximate reasoning, fuzzy logic systems, and genetic ...

6

Hierarchical data fusion for Smart Healthcare

Hierarchical data fusion for Smart Healthcare

... biometric data collected by sensors, including body position, weight and movements, sleep quality, blood pressure, blood oxygen saturation, body tem- perature, heart rhythm and rate, blood oxygen, fatigue levels, ...

23

Show all 10000 documents...

Related subjects