Academic literature on the topic 'Managing redundancy'

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Journal articles on the topic "Managing redundancy"

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Kalyuga, Slava, Paul Chandler, and John Sweller. "Managing split-attention and redundancy in multimedia instruction." Applied Cognitive Psychology 13, no. 4 (August 1999): 351–71. http://dx.doi.org/10.1002/(sici)1099-0720(199908)13:4<351::aid-acp589>3.0.co;2-6.

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Wang, Jian Jun, Zhi Feng Liu, and Ji Kai Ma. "The Study of the Managing Node Redundancy of Real-Time Industrial Ethernet POWERLINK." Applied Mechanics and Materials 336-338 (July 2013): 2388–91. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2388.

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This paper analyses the master station redundancy technology in the POWERLINK network. Through the monitoring network and data refresh to achieve the master station redundancy function. The Managing Node redundancy ensures the POWERLINK cycle production continuance after the failure of the current master station, the switch-over time (recovery time) of the POWERLINK system is in the two POWERLINK cycle time at least. That ensures a very fast restoring of normal operation without any downtime for the control system.
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Proenza, Julián, José Miro-Julia, and Hans Hansson. "Managing redundancy in CAN-based networks supporting N-Version Programming." Computer Standards & Interfaces 31, no. 1 (January 2009): 120–27. http://dx.doi.org/10.1016/j.csi.2007.11.007.

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Wright, W. E., and J. C. Hall. "Advanced Aircraft Gas Turbine Engine Controls." Journal of Engineering for Gas Turbines and Power 112, no. 4 (October 1, 1990): 561–64. http://dx.doi.org/10.1115/1.2906205.

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With the advent of vectored thrust, vertical lift, and fly-by-wire aircraft, the complexity of aircraft gas turbine control systems has evolved to the point wherein they must approach or equal the reliability of current quad redundant flight control systems. To advance the technology of high-reliability engine controls, one solution to the Byzantine General’s problem (Lamport et al., 1982) is presented as the foundation for fault tolerant engine control architecture. In addition to creating a control architecture, an approach to managing the architecture’s redundancy is addressed.
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Burmester, Mike, Tri Van Le, and Alec Yasinsac. "Adaptive gossip protocols: Managing security and redundancy in dense ad hoc networks." Ad Hoc Networks 5, no. 3 (April 2007): 313–23. http://dx.doi.org/10.1016/j.adhoc.2005.11.007.

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Su, Hang, Nima Enayati, Luca Vantadori, Andrea Spinoglio, Giancarlo Ferrigno, and Elena De Momi. "Online human-like redundancy optimization for tele-operated anthropomorphic manipulators." International Journal of Advanced Robotic Systems 15, no. 6 (November 1, 2018): 172988141881469. http://dx.doi.org/10.1177/1729881418814695.

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Robot human-like behavior can enhance the performance of human–robot cooperation with prominently improved natural interaction. This also holds for redundant robots with an anthropomorphic kinematics. In this article, we translated human ability of managing redundancy to control a seven degrees of freedom anthropomorphic robot arm (LWR4+, KUKA, Germany) during tele-operated tasks. We implemented a nonlinear regression method—based on neural networks—between the human arm elbow swivel angle and the hand target pose to achieve an anthropomorphic arm posture during tele-operation tasks. The method was assessed in simulation and experiments were performed with virtual reality tracking tasks in a lab environment. The results showed that the robot achieves a human-like arm posture during tele-operation, and the subjects prefer to work with the biologically inspired robot. The proposed method can be applied in control of anthropomorphic robot manipulators for tele-operated collaborative tasks, such as in factories or in operating rooms.
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Ahmed, Ejaz, Nik Bessis, Peter Norrington, and Yong Yue. "Managing Inconsistencies in Data Grid Environments." International Journal of Grid and High Performance Computing 2, no. 4 (October 2010): 51–64. http://dx.doi.org/10.4018/jghpc.2010100105.

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Much work has been done in the area of data access and integration using various data mapping, matching, and loading techniques. One of the main concerns when integrating data from heterogeneous data sources is data redundancy. The concern is mainly due to the different business contexts and purposes from which the data systems were originally built. A common process for accessing data from integrated databases involves the use of each data source’s own catalogue or metadata schema. In this article, the authors take the view that there is a greater chance of data inconsistencies, such as data redundancies when integrating them within a grid environment as compared to traditional distributed paradigms. The importance of improving the data search and matching process is briefly discussed, and a partial service oriented generic strategy is adopted to consolidate distinct catalogue schemas of federated databases to access information seamlessly. To this end, a proposed matching strategy between structure objects and data values across federated databases in a grid environment is presented.
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Mattei, Massimiliano, and Gaetano Paviglianiti. "MANAGING SENSOR HARDWARE REDUNDANCY ON A SMALL COMMERCIAL AIRCRAFT WITH H∞ FDI OBSERVERS." IFAC Proceedings Volumes 38, no. 1 (2005): 347–52. http://dx.doi.org/10.3182/20050703-6-cz-1902.01860.

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Walker, Brian, and Brunilde Sansó. "Managing Redundancy in Distributed Computer Networks: A State Transition Graph Approach for the Stashing Problem." Operations Research 46, no. 3 (June 1998): 305–15. http://dx.doi.org/10.1287/opre.46.3.305.

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Kovalenko, Pavel Y., Valentin I. Mukhin, and Mihail D. Senyuk. "Development of a methodology for data validation in power systems using different types of measurements." E3S Web of Conferences 288 (2021): 01062. http://dx.doi.org/10.1051/e3sconf/202128801062.

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In recent years, the technology of synchrophasor measurements has been introduced in power systems around the world. When managing a power system and predicting its operation conditions, the important task is to check the validity of power system data. At the same time, the traditional types of measurements, such as digital fault recorders and telemetry devices are still widely used. It is known that redundancy of measurements contributes to a more accurate solution of the data validation problem. It is useful to create a method for data validation in power systems, which could involve various types of measurements in order to increase the redundancy and, hence, the overall accuracy of measurements. This study presents some validity criteria that use the idea described above. The results of testing the proposed methodology on the substation model in Matlab software package are presented and discussed.
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Dissertations / Theses on the topic "Managing redundancy"

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Gascoigne, Steven. "Managing redundancy : a capability approach to a Swedish case study." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/51398/.

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This is a study of the workings of a Swedish welfare scheme during a two year period from 1979 to 1980. Its aim is to examine the effects of the scheme on the clients involved, to analyse the relationship between official and client, and to demonstrate the functioning of some components of the Swedish model at the front line. The study focuses upon the collapse of the shipbuilding industry in Gothenburg on the west coast of Sweden and the scheme designed to find jobs for around two thousand workers threatened by redundancy in the spring of 1979. The Capability Approach, as formulated by Amartya Sen, is employed to analyse whether various state actors, mobilised to avert mass unemployment during the shipbuilding collapse, were able to re-orientate career paths along mutually desired trajectories. The strength of the approach lies in its focus on the individual, thus enabling an analysis which departs from the traditional approach in Anglo-Saxon studies of Sweden that focus on peak level politics. The case study offers detailed information about the workings of the welfare scheme; it draws upon rich archival and interview data as well as a range of secondary sources previously untranslated. It demonstrates the importance of work within Sweden, how that importance affects client – official relationships thereby offering a critique of Esping Andersen's argument that Social Democratic states facilitate 'decommodification'.
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Kratchounova, Daniela. "The utility of verbal display redundancy in managing pilot's cognitive load during controller-pilot voice communications." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5383.

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Miscommunication between controllers and pilots, potentially resulting from a high pilot cognitive load, has been a causal or contributing factor in a large number of aviation accidents. In this context, failure to communicate can be attributed, among other factors, to an inadequate human-system interface design, the related high cognitive load imposed on the pilot, and poor performance reflected by a higher error rate. To date, voice radio remains in service without any means for managing pilot cognitive load by design (as opposed to training or procedures). Such an oversight is what prompted this dissertation. The goals of this study were (a) to investigate the utility of a voice-to-text transcription (V-T-T) of ATC clearances in managing pilot's cognitive load during controller-pilot communications within the context of a modern flight deck environment, and (b) to validate whether a model of variable relationships which is generated in the domain of learning and instruction would “transfer”, and to what extend, to an operational domain. First, within the theoretical framework built for this dissertation, all the pertaining factors were analyzed. Second, by using the process of synthesis, and based on guidelines generated from that theoretical framework, a redundant verbal display of ATC clearances (i.e., a V-T-T) was constructed. Third, the synthesized device was empirically examined. Thirty four pilots participated in the study – seventeen pilots with 100-250 total flight hours and seventeen with >500 total flight hours. All participants had flown within sixty days prior to attending the study. The experiment was conducted one pilot at a time in 2.5-hour blocks. A 2 Verbal Display Redundancy (no-redundancy and redundancy) X 2 Verbal Input Complexity (low and high) X 2 Level of Expertise (novices and experts) mixed-model design was used for the study with 5 IFR clearances in each Redundancy X Complexity condition. The results showed that the amounts of reduction of cognitive load and improvement of performance, when verbal display redundancy was provided, were in the range of about 20%. These results indicated that V-T-T is a device which has a tremendous potential to serve as (a) a pilot memory aid, (b) a way to verify a clearance has been captured correctly without having to make a “Say again” call, and (c) to ultimately improve the margin of safety by reducing the propensity for human error for the majority of pilot populations including those with English as a second language. Fourth, the results from the validation of theoretical models “transfer” showed that although cognitive load remained as a significant predictor of performance, both complexity and redundancy also had unique significant effects on performance. Furthermore, these results indicated that the relationship between these variables was not as “clear-cut” in the operational domain investigated here as the models from the domain of learning and instruction suggested. Until further research is conducted, (a) to investigate how changes in the operational task settings via adding additional coding (e.g., permanent record of clearances which can serve as both a memory aid and a way to verify a clearance is captured correctly) affect performance through mechanisms other than cognitive load; and (b) unless the theoretical models are modified to reflect how changes in the input variables impact the outcome in a variety of ways; a degree of prudence should be exercised when the results from the model “transfer” validation are applied to operational environments similar to the one investigated in this dissertation research.
ID: 031001368; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Adviser: Florian Jentsch.; Title from PDF title page (viewed May 20, 2013).; Thesis (Ph.D.)--University of Central Florida, 2012.; Includes bibliographical references (p. 146-157).
Ph.D.
Doctorate
Psychology
Sciences
Psychology; Human Factors Psychology
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Cameron, Michael, and mcam@mc-mc net. "Efficient Homology Search for Genomic Sequence Databases." RMIT University. Computer Science and Information Technology, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070509.162443.

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Genomic search tools can provide valuable insights into the chemical structure, evolutionary origin and biochemical function of genetic material. A homology search algorithm compares a protein or nucleotide query sequence to each entry in a large sequence database and reports alignments with highly similar sequences. The exponential growth of public data banks such as GenBank has necessitated the development of fast, heuristic approaches to homology search. The versatile and popular blast algorithm, developed by researchers at the US National Center for Biotechnology Information (NCBI), uses a four-stage heuristic approach to efficiently search large collections for analogous sequences while retaining a high degree of accuracy. Despite an abundance of alternative approaches to homology search, blast remains the only method to offer fast, sensitive search of large genomic collections on modern desktop hardware. As a result, the tool has found widespread use with millions of queries posed each day. A significant investment of computing resources is required to process this large volume of genomic searches and a cluster of over 200 workstations is employed by the NCBI to handle queries posed through the organisation's website. As the growth of sequence databases continues to outpace improvements in modern hardware, blast searches are becoming slower each year and novel, faster methods for sequence comparison are required. In this thesis we propose new techniques for fast yet accurate homology search that result in significantly faster blast searches. First, we describe improvements to the final, gapped alignment stages where the query and sequences from the collection are aligned to provide a fine-grain measure of similarity. We describe three new methods for aligning sequences that roughly halve the time required to perform this computationally expensive stage. Next, we investigate improvements to the first stage of search, where short regions of similarity between a pair of sequences are identified. We propose a novel deterministic finite automaton data structure that is significantly smaller than the codeword lookup table employed by ncbi-blast, resulting in improved cache performance and faster search times. We also discuss fast methods for nucleotide sequence comparison. We describe novel approaches for processing sequences that are compressed using the byte packed format already utilised by blast, where four nucleotide bases from a strand of DNA are stored in a single byte. Rather than decompress sequences to perform pairwise comparisons, our innovations permit sequences to be processed in their compressed form, four bases at a time. Our techniques roughly halve average query evaluation times for nucleotide searches with no effect on the sensitivity of blast. Finally, we present a new scheme for managing the high degree of redundancy that is prevalent in genomic collections. Near-duplicate entries in sequence data banks are highly detrimental to retrieval performance, however existing methods for managing redundancy are both slow, requiring almost ten hours to process the GenBank database, and crude, because they simply purge highly-similar sequences to reduce the level of internal redundancy. We describe a new approach for identifying near-duplicate entries that is roughly six times faster than the most successful existing approaches, and a novel approach to managing redundancy that reduces collection size and search times but still provides accurate and comprehensive search results. Our improvements to blast have been integrated into our own version of the tool. We find that our innovations more than halve average search times for nucleotide and protein searches, and have no signifcant effect on search accuracy. Given the enormous popularity of blast, this represents a very significant advance in computational methods to aid life science research.
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Dotson, Emily A. "Strong Angels of Comfort: Middle Class Managing Daughters in Victorian Literature." UKnowledge, 2014. http://uknowledge.uky.edu/english_etds/13.

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This dissertation joins a vibrant conversation in the social sciences about the challenging nature of care labor as well as feminist discussions about the role of the daughter in Victorian culture. It explores the literary presence of the middle class managing daughter in the Victorian home. Collectively, the novels in this study articulate social anxieties about the unclear and unstable role of daughters in the family, the physically and emotionally challenging work they, and all women, do, and the struggle for daughters to find a place in a family hierarchy, which is often structured not by effort or affection, but by proscribed traditional roles, which do not easily adapt to managing daughters, even if they are the ones holding the family together. The managing daughter is a problem not accounted for in any conventional domestic structure or ideology so there is no role, no clear set of responsibilities and no boundaries that could, and arguably should, define her obligations, offer her opportunities for empowerment, or set necessary limits on the broad cultural mandate she has to comfort and care others. The extremes she is often pushed to reveals the stresses and hidden conflicts for authority and autonomy inherent in domestic labor without the iconic angel in the house rhetoric that so often masks the difficulties of domestic life for women. She gains no authority or stability no matter how loving or even how necessary she is to a family because there simply is no position in the parental family structure for her. The managing daughter thus reveals a deep crack in the structure of the traditional Victorian family by showing that it often cannot accommodate, protect, or validate a loving non-traditional family member because it values traditional hierarchies over emotion or effort. Yet, in doing so, it also suggests that if it is position not passion that matters, then as long as a woman assumes the right position in the family then deep emotional connections to others are not necessary for her to care competently for others.
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Books on the topic "Managing redundancy"

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Grzelak, Eva. Managing redundancy. London: Economist Intelligence Unit, 1985.

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Suff, Paul. Managing redundancy. [Birmingham]: The Work Foundation, 2003.

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Stuart, Chamberlain, Dunn Natalie, and Croner Publications, eds. Managing redundancy. Philadelphia: Wolters Kluwer (UK) Limited, 2008.

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Bob, Patchett, ed. Croner's guide to managing redundancy. Kingston upon Thames: Croner, 1999.

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Jay, Lynda. Croner's guide to managing redundancy. Kingston upon Thames: Croner, 1995.

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Unwin, Brian. Managing staffing reductions: Redundancy procedures. Bristol: MAPS (Secondary Heads Association), 1993.

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John, Joshua. Managing redundancy in overexploited fisheries. Washington, D.C: World Bank, 1994.

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Hickman, Paul. Managing redundancy: A case study in the further education sector. [s.l.]: typescript, 1992.

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Recruiting, retaining and releasing people: Managing redeployment, return, retirement and redundancy. Amsterdam: Elsevier, 2007.

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Managing redundancy. London: Incomes Data Services, 2001.

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Book chapters on the topic "Managing redundancy"

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Ashman, Ian. "Downsizing: Managing Redundancy and Restructuring." In Reframing Resolution, 149–67. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-51560-5_8.

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Merlet, J.-P. "Managing the Redundancy of N−1 Wire-Driven Parallel Robots." In Latest Advances in Robot Kinematics, 405–12. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4620-6_51.

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Boujelben, Abir, and Ikram Amous. "Refining Rule Bases for Intelligent Systems: Managing Redundancy and Circularity." In Business Information Systems, 421–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53337-3_31.

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Burmester, Mike, Tri Van Le, and Alec Yasinsac. "Weathering the Storm: Managing Redundancy and Security in Ad Hoc Networks." In Ad-Hoc, Mobile, and Wireless Networks, 96–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28634-9_8.

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Pepple, Dennis, Crystal Zhang, and Chioma Ofoma. "Managing Redundancy." In Financial and Managerial Aspects in Human Resource Management: A Practical Guide, 75–83. Emerald Publishing Limited, 2021. http://dx.doi.org/10.1108/978-1-83909-612-920211008.

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Squire, Brian. "Managing Supply Chain Risks." In Managing Risk in Virtual Enterprise Networks, 28–48. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-607-0.ch002.

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This chapter takes an exploratory look at the use of formal network measures to further understanding of the sources of extended enterprise or supply chain risk. It attempts to show that network measures can provide additional insight to ‘uncover’ sources of risk that could remain hidden using ‘traditional’ measures alone. More specifically, network measures of criticality, centrality, redundancy, distance and topology are combined with traditional measures of criticality, organisational slack, global sourcing and outsourcing to develop a more complete understanding on the determinants of the impact and/or probability of supply chain disruption. The measures identified provide researchers and managers with a wide-ranging framework for risk identification.
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Paraponaris, Claude. "Managing Knowledge Diversity in Distributed Organizational Structures." In Strategic Knowledge Management in Multinational Organizations, 275–98. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-630-3.ch018.

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Knowledge in organizations can be compared with human memory. There is no unique place for creating and conserving knowledge. Knowledge in Multinationals realize it’s potential with various tools of management. The diversity of tools leads to the issue of coordinating levels of management. How managing different tools of KM without disrupting the knowledge creating process? To address this issue we analyses several knowledge management strategies of high technologies industries (computer, telecommunications and pharmacy). In these cases diversity encourages implementation of knowledge management tools. The precision of these tools indicates the firm’s competence in managing and diffusing knowledge. An important conclusion that can be drawn is that several factors (redundancy, diversity, discussion and duration) can reinforce these competences and, in fact: network mechanisms in organization.
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Ahmed, Ejaz, Nik Bessis, Peter Norrington, and Yong Yue. "Managing Inconsistencies in Data Grid Environments." In Evolving Developments in Grid and Cloud Computing, 303–16. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0056-0.ch022.

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Much work has been done in the area of data access and integration using various data mapping, matching, and loading techniques. One of the main concerns when integrating data from heterogeneous data sources is data redundancy. The concern is mainly due to the different business contexts and purposes from which the data systems were originally built. A common process for accessing data from integrated databases involves the use of each data source’s own catalogue or metadata schema. In this article, the authors take the view that there is a greater chance of data inconsistencies, such as data redundancies when integrating them within a grid environment as compared to traditional distributed paradigms. The importance of improving the data search and matching process is briefly discussed, and a partial service oriented generic strategy is adopted to consolidate distinct catalogue schemas of federated databases to access information seamlessly. To this end, a proposed matching strategy between structure objects and data values across federated databases in a grid environment is presented.
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Teixeira, Leonor, Carlos Ferreira, and Beatriz Sousa Santos. "Web-Enabled System Design for Managing Clinical Information." In Encyclopedia of Healthcare Information Systems, 1398–406. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch175.

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Healthcare is characterized by a highly complex environment where the process of patient care requires an unusual amount of communication between different healthcare professionals (HCPs). For a better patient care, the various HCPs have to cooperate, a processed often called shared care (Garde & Knaup, 2006; Schabetsberger, Ammenwerth, Andreatta, Gratl, Haux, & Lechleitner, 2006). Nowadays, there is an increasing incorporation of a heterogeneous set of Information Systems (ISs)—paper-based and computer-based—on the daily work of HCPs, in order to retrieve information about patients (Coiera, 2003; Van-Bemmel & Musen, 1997). The complexity of the patient care process combined with the heterogeneity of the information resources leads to a paradigm of data redundancy in the healthcare services in general, and hemophilia care in particular.
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Kalyuga, Slava. "The Expertise Reversal Effect." In Managing Cognitive Load in Adaptive Multimedia Learning, 58–80. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-048-6.ch003.

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Cognitive studies of expertise that were reviewed in Chapter I indicated that prior knowledge is the most important 1earner characteristic that influences learning processes. Recently, it has been established that learning procedures and techniques that are beneficial for learners with low levels of prior knowledge may become relatively inefficient for more knowledgeable learners due to cognitive activities that consume additional working memory resources. This expertise reversal effect could be related to aptitude-treatment interactions (interactions between learning outcomes of different instructional treatments and student aptitudes) that were actively investigated in 1960-70s. The learner level of prior knowledge or level of expertise is the aptitude of interest in this case. The effect is explained by the cognitive overload that more knowledgeable learners may experience due to processing redundant for these learners instructional components (as compared to information without redundancy). As a consequence, instructional outcomes of different multimedia learning formats and procedures are always relative to levels of learner task-specific expertise. This chapter describes cognitive processes that cause expertise reversal effect and major instructional implications of this effect. The chapter provides a review of empirical evidence obtained in the original longitudinal studies of the effect, the expertise reversal for methods of enhancing essential cognitive load, and expertise reversal phenomena when learning from textual and hypertextual materials. The chapter also describes relations between the expertise reversal effect and studies of Aptitude-Treatment Interactions. Additional empirical evidence for the effect in other areas will be described in the following chapters in Section 2 of the book.
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Conference papers on the topic "Managing redundancy"

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Tseng, D. S., C. J. Everline, and K. S. Plourde. "Characterizing and managing system risks with selective redundancy during early mission formulation." In 2016 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2016. http://dx.doi.org/10.1109/rams.2016.7447974.

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Gessner, David, Julian Proenza, and Manuel Barranco. "A proposal for managing the redundancy provided by the flexible time-triggered replicated star for ethernet." In 2014 10th IEEE Workshop on Factory Communication Systems (WFCS). IEEE, 2014. http://dx.doi.org/10.1109/wfcs.2014.6837600.

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Nomaguchi, Yutaka, Tomohiro Taguchi, and Kikuo Fujita. "Knowledge Model for Managing Product Variety and Its Reflective Design Process." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99360.

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Recent manufacturers have been utilizing product families to diversify and enhance the product performance by simultaneously designing multiple products under commonalization and standardization. Design information of product architecture and family is inevitably more complicated and numerous than that of a single product. Thus, more sophisticated computer-based support system is required for product architecture and family design. This paper proposes a knowledge model for a computer-based system to support reflective process of designing product architecture and product family. This research focuses on three problems which should be overcome when product family are modeled in the computer system; design repository without data redundancy and incorrectness, knowledge acquisition without forcing the additional effort on the designer, and integration of prescriptive models to support early stages of the design process. An ontology that is a foundation of a knowledge model is defined to resolve these problems. An example of designing an air conditioner product family is shown to demonstrate the capability of the system.
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Cleveland, Anthony, and Edwin Humphries. "Effective Management of Gas Compressor Station Design Projects." In ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-460.

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Downsizing and reduction in permanent engineering and design staff in gas transmission companies raises problems in coping with peak work loads, finding specialist expertise, and managing major projects. The solution being adopted by more and more organizations to deal with these issues is to call in a consultant. Consultants can provide the personnel and expertise to carry out this work with the added benefit that once completed there would be no in-house layoffs or redundancy expenses involved. Effective use of the consultant however, demands close attention to a number of things if waste of time and money is to be avoided. The paper considers the issues involved in the key selection of, and working with, a Consultant, and the key elements in the successful completion of the project. The importance of good communication and team work is stressed and the consequences of failure are discussed in case studies.
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Dao, Tuan, Amit K. Roy-Chowdhury, Harsha V. Madhyastha, Srikanth V. Krishnamurthy, and Tom La Porta. "Managing Redundant Content in Bandwidth Constrained Wireless Networks." In CoNEXT '14: Conference on emerging Networking Experiments and Technologies. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2674005.2674988.

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Siciliano, B., and J. J. E. Slotine. "A general framework for managing multiple tasks in highly redundant robotic systems." In Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments. IEEE, 1991. http://dx.doi.org/10.1109/icar.1991.240390.

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Geekiyanage, Suranga C. H., Dan Sui, and Bernt S. Aadnoy. "Drilling Data Quality Management: Case Study With a Laboratory Scale Drilling Rig." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77510.

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Drilling industry operations heavily depend on digital information. Data analysis is a process of acquiring, transforming, interpreting, modelling, displaying and storing data with an aim of extracting useful information, so that the decision-making, actions executing, events detecting and incident managing of a system can be handled in an efficient and certain manner. This paper aims to provide an approach to understand, cleanse, improve and interpret the post-well or realtime data to preserve or enhance data features, like accuracy, consistency, reliability and validity. Data quality management is a process with three major phases. Phase I is an evaluation of pre-data quality to identify data issues such as missing or incomplete data, non-standard or invalid data and redundant data etc. Phase II is an implementation of different data quality managing practices such as filtering, data assimilation, and data reconciliation to improve data accuracy and discover useful information. The third and final phase is a post-data quality evaluation, which is conducted to assure data quality and enhance the system performance. In this study, a laboratory-scale drilling rig with a control system capable of drilling is utilized for data acquisition and quality improvement. Safe and efficient performance of such control system heavily relies on quality of the data obtained while drilling and its sufficient availability. Pump pressure, top-drive rotational speed, weight on bit, drill string torque and bit depth are available measurements. The data analysis is challenged by issues such as corruption of data due to noises, time delays, missing or incomplete data and external disturbances. In order to solve such issues, different data quality improvement practices are applied for the testing. These techniques help the intelligent system to achieve better decision-making and quicker fault detection. The study from the laboratory-scale drilling rig clearly demonstrates the need for a proper data quality management process and clear understanding of signal processing methods to carry out an intelligent digitalization in oil and gas industry.
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Naufal, Ahmad Naufal, Samy Abdelhamid Samy, Nenisurya Hashim Nenisurya, Zaharuddin Muhammad Zaharuddin, Eddy Damsuri Eddy, Amir Ali Amir, Mohd Hilmi Hilmi, et al. "Machine Learning as Accelerating Tool in Remote Operation Realisation through Monitoring Oil and Gas Equipments and Identifying its Failure Mode." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21493-ms.

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Abstract Equipment failure, unplanned downtime operation, and environmental damage cost represent critical challenges in overall oil and gas business from well reservoir identification and drilling strategy to production and processing. Identifying and managing the risks around assets that could fail and cause redundant and expensive downtime are the core of plant reliability in oil and gas industry. In the current digital era; there is an essential need of innovative data-driven solutions to address these challenges, especially, monitoring and diagnosis of plant equipment operations, recognize equipment failure; avoid unplanned downtime; repair costs and potential environmental damage; maintaining reliable production, and identifying equipment failures. Machine learning-artificial intelligence application is being studied to develop predictive maintenance (PdM) models as innovative analytics solution based on real-data streaming to get to an elevated level of situational intelligence to guide actions and provide early warnings of impending asset failure that previously remained undetected. This paper proposes novel machine learning predictive models based on extreme learning/support vector machines (ELM-SVM) to predict the time to failure (TTF) and when a plant equipment(s) will fail; so maintenance can be planned well ahead of time to minimize disruption. Proper visualization with deep-insights (training and validation) processes of the available mountains of historian and real-time data are carried out. Comparative studies of ELM-SVM techniques versus the most common physical-statistical regression techniques using available rotating equipment-compressors and time-failure mode data. Results are presented and it is promising to show that the new machine learning (ELM-SVM) techniques outperforms physical-statistics techniques with reliable and high accurate predictions; which have a high impact on the future ROI of oil and gas industry.
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Silva, Simao, Blake Terrell, Mark Philip, Nicholas Rouge, Diogenes Angelidis, Julio Sosa, Robert Collins, and Zain Rauf. "First Use of ROV Remote Operations from Shore in the Gulf of Mexico." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31019-ms.

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Abstract Oil and gas companies across the spectrum are moving toward digitalization. Leveraging technology to access real-time data has allowed companies to streamline activities and gain operational efficiencies while at the same time improving worker safety by reducing the number of personnel required offshore. This evolution optimizes operations by enabling better decision-making by subject matter experts (SMEs) located around the world working as one interconnected team. Functions once performed exclusively by offshore personnel are being carried out today by onshore workers via remote technology. By capitalizing on the ability to communicate offshore via high-speed internet, it is now possible to carry out ROV operations using a team that includes onshore based personnel. A recent project illustrates how ROV activities controlled from an onshore remote operations center in Louisiana were carried out successfully on a production Tension Leg Platform (TLP) in the Gulf of Mexico (GoM). The technology used onboard the TLP is not new; operators have been remotely managing a range of functions on offshore assets for years. However, the project does apply this proven approach to ROV piloting operations for the first time commercially in the GoM. Transferring ROV control from the offshore platform to a facility onshore is possible using a communication link that connect real-time data from the offshore asset to the onshore remote operations center (OROC). The two-way communications link provides a redundant system in which controls can be executed either from the offshore platform or from the remote operations center, allowing specialized roles that historically have been executed offshore, including that of the ROV pilot, subsea engineer, and company representative directing the work, to be transferred to a land-based team. The increase in data required from the offshore asset for the GoM project was managed via a dedicated link that provided data transfer at a minimum speed of 3 Mbps upload/download with a fail-safe system that automatically default control to the offshore ROV team in case of any failures in the communication link. Remotely piloting an ROV from shore and coordinating with an offshore crew not only delivered a reduction in HSE exposure but reduced overall personnel costs on the asset by more than 30% for 24 hours of operations. This approach to ROV operations has the potential to reduce costs by reducing the number of workers required offshore even further if additional staff associated exclusively with the project subsea work scope is directed to work remotely from shore.
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