Relevant bibliographies by topics / Fusion Management System

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fusion Management System'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Fusion Management System"

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Ming, Xin. "Research and Design of Intelligent Agricultural Management System Based on Zigbee." Applied Mechanics and Materials 644-650 (September 2014): 1372–76. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1372.

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Data transmission on sensor nodes is realized through data fusion processing, as well as software and hardware design of sensor node. Feedback process is performed on agricultural environment as it transfers to the terminal device finally. This paper has designed a kind of data fusion hue which could immediately perform pixel-level fusion processing after sensor nodes obtain information, and put forward that the data fusion algorithm (KDF) based on Kalman filtering could be applied for data fusion processing of system. Mesh network is constructed on the basis of hardware by sensor nodes based on ZigBee wireless communication protocol .Thus this overall set of intelligent monitoring and processing center which integrates user management, data analysis, and information issuing into an organic whole is designed.
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Lee, Woo-Cheol, Soon-Seo Park, and Han-Lim Choi. "Track Management Architecture for Distributed Multiple Radar Fusion System." Journal of Institute of Control, Robotics and Systems 23, no. 2 (February 28, 2017): 76–82. http://dx.doi.org/10.5302/j.icros.2017.16.0206.

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Łaski, Maciej, Sylwester Błaszczyk, Piotr Duch, Rafał Jachowicz, Adam Wulkiewicz, and Dominik Sankowski. "Distributed Mobile Platform Management System." Image Processing & Communications 17, no. 4 (December 1, 2012): 137–42. http://dx.doi.org/10.2478/v10248-012-0039-6.

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Abstract This papers presents a concept of distributed computer control system of mobile platform. This system was designed and implemented at the Institute of Applied Computer Science (formerly the Computer Engineering Department) as a grant: "Autonomous robot for surveillance and mine detection tasks". The main task was to encapsulate the functionality of the system as independent modules. They cover: the physical layer control, acquisition and fusion of data from different sensors, communication between the modules, analysis of image data. Mentioned mechanisms are also designed to perform autonomous behaviors.
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Carvalho, Paulo F., Bruno Santos, Miguel Correia, Álvaro M. Combo, AntÓnio P. Rodrigues, Rita C. Pereira, Ana Fernandes, et al. "Monitoring and Hardware Management for Critical Fusion Plasma Instrumentation." EPJ Web of Conferences 170 (2018): 02002. http://dx.doi.org/10.1051/epjconf/201817002002.

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Controlled nuclear fusion aims to obtain energy by particles collision confined inside a nuclear reactor (Tokamak). These ionized particles, heavier isotopes of hydrogen, are the main elements inside of plasma that is kept at high temperatures (millions of Celsius degrees). Due to high temperatures and magnetic confinement, plasma is exposed to several sources of instabilities which require a set of procedures by the control and data acquisition systems throughout fusion experiments processes. Control and data acquisition systems often used in nuclear fusion experiments are based on the Advanced Telecommunication Computer Architecture (AdvancedTCA®) standard introduced by the Peripheral Component Interconnect Industrial Manufacturers Group (PICMG®), to meet the demands of telecommunications that require large amount of data (TB) transportation at high transfer rates (Gb/s), to ensure high availability including features such as reliability, serviceability and redundancy. For efficient plasma control, systems are required to collect large amounts of data, process it, store for later analysis, make critical decisions in real time and provide status reports either from the experience itself or the electronic instrumentation involved. Moreover, systems should also ensure the correct handling of detected anomalies and identified faults, notify the system operator of occurred events, decisions taken to acknowledge and implemented changes. Therefore, for everything to work in compliance with specifications it is required that the instrumentation includes hardware management and monitoring mechanisms for both hardware and software. These mechanisms should check the system status by reading sensors, manage events, update inventory databases with hardware system components in use and maintenance, store collected information, update firmware and installed software modules, configure and handle alarms to detect possible system failures and prevent emergency scenarios occurrences. The goal is to ensure high availability of the system and provide safety operation, experiment security and data validation for the fusion experiment. This work aims to contribute to the joint effort of the IPFN control and data acquisition group to develop a hardware management and monitoring application for control and data acquisition instrumentation especially designed for large scale tokamaks like ITER.
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Gao, Jun Fang, and Jian Long Shao. "A Design of Data Fusion Management System Based on LabVIEW." Advanced Materials Research 945-949 (June 2014): 3356–59. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3356.

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Analyzing the two methods of file management and database management, and detailed introducing the method of saving binary-file under the background of LabVIEW and using LabSQL toolkits achieve techniques of accessing to database. Taking high rate data acquisition system for example and designing a data fusion management system based on LabVIEW which integrates file save and database management. Experimental results have shown that data fusion management system can efficiently settle the problems that a large number of acquisition data can high save and conveniently inquire in high rate data acquisition system.
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Klein, Lawrence A., Ping Yi, and Hualiang Teng. "Decision Support System for Advanced Traffic Management Through Data Fusion." Transportation Research Record: Journal of the Transportation Research Board 1804, no. 1 (January 2002): 173–78. http://dx.doi.org/10.3141/1804-23.

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The Dempster–Shafer theory for data fusion and mining in support of advanced traffic management is introduced and tested. Dempste–Shafer inference is a statistically based classification technique that can be applied to detect traffic events that affect normal traffic operations. It is useful when data or information sources contribute partial information about a scenario, and no single source provides a high probability of identifying the event responsible for the received information. The technique captures and combines whatever information is available from the data sources. Dempster’s rule is applied to determine the most probable event—as that with the largest probability based on the information obtained from all contributing sources. The Dempster–Shafer theory is explained and its implementation described through numerical examples. Field testing of the data fusion technique demonstrated its effectiveness when the probability masses, which quantify the likelihood of the postulated events for the scenario, reflect current traffic and weather conditions.
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Vilbrandt, Reinhard, Hans-Stephan Bosch, and Jost-Henrich Feist. "Quality Management System in Fusion Research—Experience From W7-X." IEEE Transactions on Plasma Science 42, no. 11 (November 2014): 3644–49. http://dx.doi.org/10.1109/tps.2014.2359075.

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Nejat Veziroglu, T. "The fusion-hydrogen energy system." Applied Energy 47, no. 2-3 (January 1994): 227–49. http://dx.doi.org/10.1016/0306-2619(94)90080-9.

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Wang, Guo You, Yu Shi, He Zhang, Biao Long Su, and Xiao Qing Zhang. "Multi-Source Fusion Power Quality Monitoring and Analysis Application System." Applied Mechanics and Materials 448-453 (October 2013): 2341–44. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2341.

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There is a restriction on the development of power quality monitoring software for lacking of corresponding technical specification and uniform systematic planning. In this thesis, the concept of supporting platform of power quality monitoring and analysis system is posed and the supporting platform provides data service, report work, authority management, alarm service, authority management, communication service and other public services; abiding by the advocacy of IEC 61970 Standard, the system applies CORBA component technology inside and outside the system and realizes the “plug and play” of public services and applications. Through the standardized public communication service module, the data interaction with other power quality monitoring software, PMS system, DMS/EMS system and other third-party systems is completed and the multi-angle and deep power quality analysis are conducted based on multi-source information fusion technology and the power quality analysis and evaluation, harmonic source location, power quality warning, management decision support and other intelligent analysis application are realized.
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Pandey, Anjali. "WATER MANAGEMENT SYSTEM OF KALIYADEH MAHAL." International Journal of Research -GRANTHAALAYAH 6, no. 3 (March 31, 2018): 302–7. http://dx.doi.org/10.29121/granthaalayah.v6.i3.2018.1531.

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Water in architecture of India played an important role in the culture. Indians developed the traditional hydro engineering to conserve Rain water, Ground water, river, and other natural resources. It could be seen since earliest times. Stepwells were first used as an art form by the Hindus and they influenced many other structures, Mughal Gardens are the examples of the incorporation of water in the design of Architecture. The designs of the gardens are of the medieval Islamic Period. Kaliadeh Mehel near Bheravgarh Fort at the bank of River Kshripa. Ujjain (Madhya Pradesh) is well known and one of the most famous historical landmarks of Madhya Pradesh, it is the fusion of Hindu – Persian architecture. The palace has the exclusive designed water system.
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Dissertations / Theses on the topic "Fusion Management System"

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Deaves, R. H. "The management of communications in decentralised Bayesian data fusion system." Thesis, University of Bristol, 1998. http://hdl.handle.net/1983/ae6cb4d5-96e8-4af4-90c0-fddb4f188369.

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Phiri, Jackson. "A digital identity management system." Thesis, UWC, 2007. http://hdl.handle.net/11394/2871.

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>Magister Scientiae - MSc
The recent years have seen an increase in the number of users accessing online services using communication devices such as computers, mobile phones and cards based credentials such as credit cards. This has prompted most governments and business organizations to change the way they do business and manage their identity information. The coming of the online services has however made most Internet users vulnerable to identity fraud and theft. This has resulted in a subsequent increase in the number of reported cases of identity theft and fraud, which is on the increase and costing the global industry excessive amounts. Today with more powerful and effective technologies such as artificial intelligence, wireless communication, mobile storage devices and biometrics, it should be possible to come up with a more effective multi-modal authentication system to help reduce the cases of identity fraud and theft. A multi-modal digital identity management system is proposed as a solution for managing digital identity information in an effort to reduce the cases of identity fraud and theft seen on most online services today. The proposed system thus uses technologies such as artificial intelligence and biometrics on the current unsecured networks to maintain the security and privacy of users and service providers in a transparent, reliable and efficient way. In order to be authenticated in the proposed multi-modal authentication system, a user is required to submit more than one credential attribute. An artificial intelligent technology is used to implement a technique of information fusion to combine the user’s credential attributes for optimum recognition. The information fusion engine is then used to implement the required multi-modal authentication system.
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Mirza, Atif R. "An architectural selection framework for data fusion in sensor platforms." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/42369.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, February 2007.
Includes bibliographical references (leaves 97-100).
The role of data fusion in sensor platforms is becoming increasingly important in various domains of science, technology and business. Fusion pertains to the merging or integration of information towards an enhanced level of awareness. This thesis provides a canonical overview of several major fusion architectures developed from the remote sensing and defense community. Additionally, it provides an assessment of current sensors and their platforms, the influence of reliability measures, and the connection to fusion applications. We present several types of architecture for managing multi-sensor data fusion, specifically as they relate to the tracking-correlation function and blackboard processing representations in knowledge engineering. Object-Process Methods are used to model the information fusion process and supporting systems. Several mathematical techniques are shown to be useful in the fusion of numerical properties, sensor data updating and the implementation of unique detection probabilities. Finally, we discuss the importance of fusion to the concept and operation of the Semantic Web, which promises new ways to exploit the synergy of multi-sensor data platforms. This requires the synthesis of fusion with ontology models for knowledge representation. We discuss the importance of fusion as a reuse process in ontological engineering, and review key lifecycle models in ontology development. The evolutionary approach to ontology development is considered the most useful and adaptable to the complexities of semantic networks. Several potential applications for data fusion are screened and ranked according to the Joint Directors of Laboratories (JDL) process model for information fusion. Based on these predetermined criteria, the case of medical diagnostic imaging was found to offer the most promising applications for fusion, on which future product platforms can be built.
by Atif R. Mirza.
S.M.
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Hu, Xi. "Network and sensor management for mulitiple sensor emitter location system." Diss., Online access via UMI:, 2008.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Electrical and Computer Engineering, 2008.
Includes bibliographical references.
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Odabasi, Mehmet. "User Acceptance of North Central Texas Fusion Center System by Law Enforcement Officers." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33191/.

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The September 11 terrorist attacks pointed out the lack of information sharing between law enforcement agencies as a potential threat to sound law enforcement in the United States. Therefore, many law enforcement agencies as well as the federal government have been initiating information sharing systems among law enforcement agencies to eradicate the information sharing problem. One of the systems established by Homeland Security is the North Central Texas Fusion Center (NCTFC). This study evaluates the NCTFC by utilizing user acceptance methodology. The unified theory of acceptance and the use of technology is used as a theoretical framework for this study. Within the study, user acceptance literature is examined and various models and theories are discussed. Furthermore, a brief information regarding the intelligence work done by law enforcement agencies are explained. In addition to the NCTFC, several major law enforcement information systems are introduced. The data for this study comes from the users of the NCTFC across the north central Texas region. Surveys and interviews are used to triangulate data. It is found in this study that performance expectancy and effort expectancy are important indicators of system use. Furthermore, outreach and needs assessment are important factors in establishing systems. The results of the study offer valuable input for NCTFC administrators, law enforcement officials, and future researchers.
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Cook, Brandon M. "An Intelligent System for Small Unmanned Aerial Vehicle Traffic Management." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617106257481515.

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Johansson, Ronnie. "Large-Scale Information Acquisition for Data and Information Fusion." Doctoral thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3890.

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Uchytil, Joseph. "Assessing the operational value of situational awareness for AEGIS and Ship Self Defense System (SSDS) platforms through the application of the Knowledge Value Added (KVA) methodology." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Jun%5FUchytil.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, June 2006.
Thesis Advisor(s): Thomas J. Housel. "June 2006." Includes bibliographical references (p. 71-72). Also available in print.
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Hill, Elisa Marie. "The use of a novel treatment protocol based off acceptance and commitment therapy for the problematic behaviors of two high functioning children with autism." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/theses/1342.

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The present study extends previous research on acceptance and commitment therapy (ACT) by using a new ACT protocol, the Fusion Management System (Dixon, 2013 in press) with a new population. Participants were 2 high functioning children with autism: an 8-year old boy and a 12 year-old girl. Using a multiple baseline design, 2 participants were exposed to 15 hours of therapy over the span of 12 weeks. Behavioral data was taken for each participant by their parent(s) on a problematic behavior that was of concern to them. Prior to and following the ACT intervention, both participants took three psychometric measures that were designed to measure ACT related processes: the Child and Adolescent Mindfulness Measure (CAMM), the Acceptance and Action Questionnaire-II (AAQ-II), and the Avoidance and Fusion Questionnaire for Youth (AFQ-Y). Following the intervention one participant improved on all measures of the ACT related processes and the other participant's score improved on the AFQ-Y and slightly deteriorated on the CAMM and AAQ-II. During the intervention phase of this study both participants' problematic behavior significantly improved. Implications of the study and future research are also discussed.
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Serce, Fatma Cemile. "A Multi-agent Adaptive Learning System For Distance Education." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609220/index.pdf.

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The adaptiveness provides uniquely identifying and monitoring the learner&rsquo
s learning activities according to his/her respective profile. The adaptive intelligent learning management systems (AILMS) help a wide range of students to achieve their learning goals effectively by delivering knowledge in an adaptive or individualized style through online learning settings. This study presents a multi-agent system, called MODA, developed to provide adaptiveness in learning management systems (LMS). A conceptual framework for adaptive learning systems is proposed for this purpose. The framework is based on the idea that adaptiveness is the best matching between the learner profile and the course content profile. The learning styles of learners and the content type of learning material are used to match the learner to the most suitable content. The thesis covers the pedagogical framework applied in MODA, the technical and multi-agent architectures of MODA, the TCP-IP based protocol providing communication between MODA and LMS, and a sample application of the system to an open source learning management system, OLAT. The study also discusses the possibilities of future interests.
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Books on the topic "Fusion Management System"

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Lee, Stephen, 1975 June 8- and Konduri Gangadhar, eds. Oracle Fusion middleware 11g architecture and management. New York: McGraw-Hill, 2011.

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Managing Oracle Fusion applications. New York: McGraw-Hill, 2011.

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S, Leventhal Naomi, ed. Fusion: Integrating IE, CASE, and JAD : a handbook for reengineering the systems organization. Englewood Cliffs, N.J: Prentice Hall, 1993.

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Antony, Richard T. Principles of data fusion automation. Boston: Artech House, 1995.

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Jean, Roy, and Wark Steve, eds. Concepts, models, and tools for information fusion. Norwood, MA: Artech House, Inc., 2007.

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Manyika, J. Data fusion and sensor management: A decentralized information-theoretic approach. New York: Ellis Horwood, 1994.

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Akhayan, Ruben. Creating your Web site with ColdFusion. Wayne, PA: A-LIST, LLC, 2002.

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Peter, Knees, Nürnberger Andreas, Schedl Markus, Stober Sebastian, and SpringerLink (Online service), eds. Adaptive Multimedia Retrieval. Context, Exploration, and Fusion: 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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Sams teach yourself ColdFusion MX in 21 days. Indianapolis, IN: Sams, 2003.

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Buford, John F. Koegel. Cyber security, situation management, and impact assessment II and visual analytics for homeland defense and security II: 5 and 8-9 April 2010, Orlando, Florida, United States. Bellingham, Wash: SPIE, 2010.

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Book chapters on the topic "Fusion Management System"

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Morris, Alexis, William Ross, and Mihaela Ulieru. "A Multi-Agent Context-Management System for RECON Intelligence Analysis." In Fusion Methodologies in Crisis Management, 121–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22527-2_7.

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Salfinger, Andrea, Werner Retschitzegger, Wieland Schwinger, and Birgit Pröll. "Towards a Crowd-Sensing Enhanced Situation Awareness System for Crisis Management." In Fusion Methodologies in Crisis Management, 177–211. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22527-2_9.

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Metola, Eduardo, and Ana M. Bernardos. "POSTER An Embedded Fusion System for Location Management." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 233–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30973-1_23.

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Batunova, Elena, Tatiana Popovich, Oksana Smirnova, and Sergey Truhachev. "Concept of Intelligent Decision-Making Support System for City Environment Management." In Information Fusion and Intelligent Geographic Information Systems, 167–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31608-2_12.

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Chia, Chaw, Nasser Sherkat, and Lars Nolle. "Confidence Partition and Hybrid Fusion in Multimodal Biometric Verification System." In Biometric ID Management and Multimodal Communication, 212–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_28.

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Boudhayan Bhattacharya and Banani Saha. "Scientific Workflow Management System for Community Model in Data Fusion." In Advances in Intelligent Systems and Computing, 363–70. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2035-3_37.

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Liu, Jingju, Guozheng Yang, and Huixian Chen. "The Autonomous System Topology Build Method Based on Multi-Source Data Fusion." In Emerging Technologies for Information Systems, Computing, and Management, 693–701. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7010-6_78.

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Lin, Yue-Song, and An-ke Xue. "Sensor Management of Multi-sensor Information Fusion Applied in Automatic Control System." In Lecture Notes in Computer Science, 607–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11538356_63.

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Coquin, Didier, Reda Boukezzoula, and Rihab Ben Ameur. "Correction of Belief Function to Improve the Performances of a Fusion System." In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 297–311. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50143-3_23.

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Fayad, Fadi, and Véronique Cherfaoui. "Object-Level Fusion and Confidence Management in a Multi-Sensor Pedestrian Tracking System." In Lecture Notes in Electrical Engineering, 15–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89859-7_2.

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Conference papers on the topic "Fusion Management System"

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Penny, Dawn E. "Sensor management in an ASW data fusion system." In AeroSense '99, edited by Belur V. Dasarathy. SPIE, 1999. http://dx.doi.org/10.1117/12.341365.

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Wang, Xiangli, Wei Yi, Mingchi Xie, Bowen Zhai, and Lingjiang Kong. "Time management for target tracking based on the predicted Bayesian Cramer-Rao lower bound in phase array radar system." In 2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017. http://dx.doi.org/10.23919/icif.2017.8009857.

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Gao, Yan, Jinxu Tao, Linguo Yang, and Yanchu Yao. "The design of optical fiber fusion image time share acquisition system." In International Conference on Information Management and Management Engineering. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/imme140151.

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Weiwei Hu, Jin Qi, Haowen Mou, and Yufeng Sun. "Information fusion method in fault modes." In 2012 Prognostics and System Health Management Conference (PHM). IEEE, 2012. http://dx.doi.org/10.1109/phm.2012.6228815.

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Qiu, Xiaoping, Cong Lan, Binci You, and Juan Li. "Information Fusion in the Applications of Workflow Management System." In 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE, 2019. http://dx.doi.org/10.1109/iske47853.2019.9170409.

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Sun Jianzhong, Zuo Hongfu, Yang Haibin, and Michael Pecht. "Study of ensemble learning-based fusion prognostics." In 2010 Prognostics and System Health Management Conference (PHM). IEEE, 2010. http://dx.doi.org/10.1109/phm.2010.5414582.

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Kumar, Yogesh, Aditya Nigam, Kamlesh Tiwari, and Phalguni Gupta. "An automated multimodal biometric system and fusion." In 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM). IEEE, 2014. http://dx.doi.org/10.1109/cibim.2014.7015438.

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Yu, LiJie, Dan Cleary, Mark Osborn, and Vrinda Rajiv. "Information Fusion Strategy for Aircraft Engine Health Management." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27174.

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Modern aircraft engines are equipped with sophisticated sensing instruments to enable proactive condition monitoring and effective health management capability. Development of intelligent systems that efficiently process sensor and operational data both onboard and off-board, to provide maintenance personnel with timely decision support, is the key to minimize flight service disruption and reduce engine ownership cost. The goal of this research is to develop a practical approach and strategy to leverage various available information sources and modeling techniques to streamline the engine health management process and maximize system accuracy and efficiency. This paper demonstrates a flexible fusion architecture that encapsulates the key elements of the engine monitoring and diagnostic process, i.e., sensor trend analysis module for anomaly detection, feature selection and fault isolation module for root cause identification, a decision module for diagnostic model fusion and action determination, and finally, a feedback module for knowledge validation and continuous learning. At the core of this engine health management system is a diagnostic fusion model designed around a common fault hierarchy which captures both a priori probabilities and interactions among various engine faults isolated by different classification models. The fusion model will resolve conflicting assessments from individual diagnostic models and provide a more accurate and comprehensive engine state estimate.
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Panella, Isabella. "Sensor management system: towards autonomous data fusion and information extraction." In Infotech@Aerospace 2011. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-1607.

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Gao, Zhanbao, Xingshan Li, Cong Sun, and Qi Liu. "Research on information fusion for engineering system integrated health management." In Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic technology, and Artificial Intelligence, edited by Jiancheng Fang and Zhongyu Wang. SPIE, 2006. http://dx.doi.org/10.1117/12.717470.

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Reports on the topic "Fusion Management System"

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Laskey, Kathryn B., and Paulo C. Costa. Evaluating the Contribution of Uncertainty Management to a Fusion System. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada606152.

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Llinas, James, and Christopher Bowman. Framework for AFFTC T&E of Information Fusion and Aerospace Vehicle Management Systems. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada387829.

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You might also be interested in the extended bibliographies on the topic 'Fusion Management System' for particular source types:
Journal articles Dissertations / Theses Books
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