Wouldn't it be nice to automatically categorize documented research to distinguish organizational R&D emphases? For example, in the area of multirobot research, one could surmise that Japanese sources have les...
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ISBN:
(纸本)1853127299
Wouldn't it be nice to automatically categorize documented research to distinguish organizational R&D emphases? For example, in the area of multirobot research, one could surmise that Japanese sources have less emphasis than expected on biological approaches and reconfigurable robots, and more emphasis than expected on human-robot interface, motion coordination and robot learning. Development and analysis of such a capability comprises the subject of this paper. Over the past decade, we have been developing a software tool for text analysis and classification, the Technology Opportunities analysis of Scientific Information System (Tech OASIS). The Tech OASIS tool suite contains two information clustering algorithms, both of which evolved from principle components analysis (PCA). Based on the terms contained in an abstracts record field (e.g., abstract noun phrases, keywords, class codes, etc.), Tech OASIS generates topical clusters. We have now developed a capability to assess expectancy (i.e. binomial distribution likelihood) of occurrences. We demonstrate the derived analysis technique on the abstracts of 354 multi-robot research papers, principally, those from Japanese and USA sources.
With the huge amount of available textual data, we need to find convenient ways to process the data and to get invaluable information. It appears that the use of factorial correspondence analysis allows to get most of...
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ISBN:
(纸本)9539676991
With the huge amount of available textual data, we need to find convenient ways to process the data and to get invaluable information. It appears that the use of factorial correspondence analysis allows to get most of the information included in the data. Besides, even after the data processing, we still have a big amount of material and we need visualization tools to display it. In this paper, we show how to use correspondence analysis in a sensible way and we give an application on the anal is of the internal scientific production of an important research center in France : the INRIA, the french national institute for research in computer science and control.
A software tool for analyzing Diffusion Tensor MRI (DT-MRI) data is presented. The tool includes methods for segmentation of white matter for automatic definition of seed points for fiber tractography, and methods for...
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The existing Intrusion Detection Systems often convey intrusion detection by using either or combination of network intrusion detection sensors, and host intrusion detection sensors. They do not integrate other device...
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The existing Intrusion Detection Systems often convey intrusion detection by using either or combination of network intrusion detection sensors, and host intrusion detection sensors. They do not integrate other devices such as firewalls, routers, mail, web, and DNS servers to extend the data collection resources. As a result of limited data resources, the higher correlation among intrusion data cannot be achieved and higher accurate results cannot be produced. There is also an issue of security between IDS sensors and central console. The intrusion results are also often represented as textual log files and hence are more difficult to analyze by a human user. This paper discusses a need and proposes a framework for an Integrated Intrusion detection system with inbuilt visual analysis tool. This system will provide various logs, audit trails, policy violations and alerts. All of this data could be collected and aggregated into a single database. The database could then be analyzed by using data mining and information visualization methods to determine and verify if an intrusion has occurred.
This paper presents an efficient implementation technique for presenting multivariate audit data needed by statistical-based intrusion detection systems. Multivariate dataanalysis is an important tool in statistical ...
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This paper describes experiments in automatic recognition of contextindependent phoneme strings from meeting data using audio-visual features. Visual features are known to improve accuracy and noise robustness of auto...
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Rock mass quality classification is an important means of evaluating engineering geologic conditions, and plays a very significant part in treatment of dam foundation for hydropower engineering. However, the represent...
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The Web Interface for Telescience (WITS) provides downlink datavisualization and uplink activity planning for multiple Mars lander and rover missions. WITS also provides a ground data system (CDS) for terrestrial rov...
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ISBN:
(纸本)0780381556
The Web Interface for Telescience (WITS) provides downlink datavisualization and uplink activity planning for multiple Mars lander and rover missions. WITS also provides a ground data system (CDS) for terrestrial rover operations. The architecture of the WITS system that enables its multi-mission use is described. WITS has been used as the GDS for the Rocky7, FIDO, and Rocky8 rovers at JPL. It was used for command sequence generation for the Mars Polar Lander mission robotic arm and robotic arm camera and will be used for science activity planning in the 2003 Mars Exploration Rover (MER) mission. It is also planned for use in the 2007 Phoenix Mars lander mission and 2009 Mars Science Laboratory (MSL) rover mission. WITS is currently being integrated with the Mission data System (MDS) for use in the MSL mission and with the Coupled Layer Architecture for Robotic Autonomy (CLARAty) system for use as the GDS for terrestrial technology development landers and rovers.
The present paper addresses a method for simulation of deepwater pipeline installation in offshore fields with rough seabed topography focusing on verification of installation feasibility. The method enables 3D pipe l...
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The present paper addresses a method for simulation of deepwater pipeline installation in offshore fields with rough seabed topography focusing on verification of installation feasibility. The method enables 3D pipe lay analysis to be carried out as a set of subsequent static analyses where the vessel is moved forward automatically considering the restraints from lay vessel departure angle and arbitrarily curved pipe routing. The analysis includes the effect of seabed topography from survey data and variable seabed conditions. The numerical algorithm is seamlessly integrated with 3D graphics for visualization of both the seabed terrain and the structural response of the pipe as the vessel is moving forward. The numerical method is based on finite elements that are formulated by applying the Principle of Virtual Displacements. Large deformations, non-linear geometry and contact effects are taken into account. In addition, elastic and elastic-plastic material models are allowed for, both for the pipe and the seabed contact elements. The paper focuses on the procedure including a brief theory description addressing the specialities needed in this case with respect to kinematics, material models and finite element formulation. The developed procedure is then demonstrated both by analytical and real pipeline installation test examples.
This report describes a novel approach to collection and analysis of radiocarbon data due to the unique design of the Naval Research Laboratory Trace Element Accelerator Mass Spectrometry system. In this approach, tar...
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This report describes a novel approach to collection and analysis of radiocarbon data due to the unique design of the Naval Research Laboratory Trace Element Accelerator Mass Spectrometry system. In this approach, targets are loaded on the cathode wheel such that samples are clustered in groups of five between standards. Each target is measured until the external error asymptotically reaches a constant value and the internal error dominates, or until a predefined time limit is reached. These measurements are repeated until the desired level of counting statistics is attained. Cycle control software saves the measured beam currents and count rate, as well as all system parameters to disc at fixed intervals throughout each measurement. datavisualization software has aided in system diagnosis by exposing relationships between the measured isotope ratios and system parameters. A filtering algorithm is employed to the data set of each target measurement in an attempt to achieve a Gaussian distribution. Final results are generated by a radiocarbon calculator that allows a user to select which target measurements to treat as samples, standards and blanks, and calculates the desired values (i.e. conventional radiocarbon age, percent modern carbon, etc.) with full error propagation. Currently, a Microsoft Access(R) relational database is being developed which will be integrated into the existing LabVIEW(R) control, filtering and calculation programs in order to streamline the process from sample submission to report generation, as well as improve quality control. Published by Elsevier B.V.
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