Relevant bibliographies by topics / System approach of expertise

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

Academic literature on the topic 'System approach of expertise'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "System approach of expertise"

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Varfolomeev, A. A., O. P. Ivanov, I. V. Surma, and Yu A. Trefilova. "Russian System of Foreign Policy Expertise." MGIMO Review of International Relations 13, no. 5 (November 11, 2020): 266–92. http://dx.doi.org/10.24833/2071-8160-2020-5-74-266-292.

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Abstract: The article considers the system of foreign policy expertise as an independent subject of research. The authors note the positive aspects of competitive analysis of the external nvironment, which allows one to level out the asymmetry of political and economic cultures within a given country, as well as to smooth out the personal interests. This ensures a variability of approaches in foreign policy decision-making, which ultimately contributes to the promotion of balanced national interests. The North American approach differs in preferences, methodological trends, forms of theoretical ethnocentrism and various forms of social construction. The European scholars and experts in foreign policy analysis use the theory of international relations much more extensively than their North American counterparts.Based on the analysis, we propose to use a comprehensive integrated method, developed in the Russian Diplomatic Academy, using an interdisciplinary approach based on elements of political psychology, sociology of management, international law, structural, functional and institutional approaches, etc. We also propose to use virtual cognitive centers and methodologies, which not only contain a specific sequence of stages of predicting the development of the international situation, but also provide an opportunity to choose methods of Foresight, taking into account the existing time, human resources and financial constraints, and the possibility of their adaptation to the applied tasks of analytical and prognostic activities of federal authorities in the field of foreign policy.
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Carson, L., and F. Allard. "Artists drawing angles: An expertise approach." Journal of Vision 8, no. 6 (March 29, 2010): 733. http://dx.doi.org/10.1167/8.6.733.

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CARBONELL, NOËLLE, DOMINIQUE FOHR, and JEAN-PAUL HATON. "APHODEX, AN ACOUSTIC-PHONETIC DECODING EXPERT SYSTEM." International Journal of Pattern Recognition and Artificial Intelligence 01, no. 02 (August 1987): 207–22. http://dx.doi.org/10.1142/s0218001487000151.

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The acoustic-phonetic decoding of sentences is a major bottleneck in continuous speech recognition. Our group has been working in this area for the past twelve years. In order to improve the accuracy of present phonetic decoders, we are now developing an expert system called APHODEX that should emulate the competence of an experienced spectrogram reader. After a brief description of the methodology used to elucidate the expert's knowledge and strategies, we focus on the expert's approach and results. Finally we explain how this expertise has been implemented; some results from the present experimental version of our system are given.
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Loveday, Thomas, Mark W. Wiggins, Jemma M. Harris, David O’Hare, and Neil Smith. "An Objective Approach to Identifying Diagnostic Expertise Among Power System Controllers." Human Factors: The Journal of the Human Factors and Ergonomics Society 55, no. 1 (June 28, 2012): 90–107. http://dx.doi.org/10.1177/0018720812450911.

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Objective: The present study investigated whether performance across a range of cue-based cognitive tasks differentiated the diagnostic performance of power control operators into three distinct groups, characteristic of novice, competence, and expertise. Background: Despite its increasing importance in the contemporary workplace, there is little understanding of the cognitive processes that distinguish novice, competent, and expert performance in the context of remote diagnosis. However, recent evidence suggests that cue acquisition and utilization may represent a mechanism by which the transition from novice to expertise occurs. Method: The study involved the application of four distinct cue-based tasks within the context of power system control. A total of 65 controllers, encompassing a range of industry experience, completed the tasks as part of an in-service training program. Results: Using a cluster analysis, it was possible to extract three distinct groups of operators on the basis of their performance in the cue-based tasks, and these groups corresponded to differences in diagnostic performance. Conclusion: The results indicate assessments of the capacity to extract and utilize cues were able to distinguish expert from competent practitioners in the context of power control. Application: Assessments of the capacity to extract and utilize cues may be used in the future to distinguish expert from nonexpert practitioners, particularly in the context of remote diagnosis.
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Atanov, Andrei. "Intity, Reality, Expertise in System of Humanitarian Science Methodology." Bulletin of Baikal State University 29, no. 3 (September 12, 2019): 359–71. http://dx.doi.org/10.17150/2500-2759.2019.29(3).359-371.

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The article analyses such forms of obtaining and processing information in the system of scientific and non-scientific knowledge as expert evaluation and expertise. The context of concepts «knowledge» and «cognition» evolves restrictions to the fields of using an expert approach. The concept «expert evaluation» is structured in correlation with conceptual basics implemented in the institutional approach. For analyzing the concepts «expert evaluation» and «experstise», the methodology of psychological and philosophical siences is used: psychoanalytical analysis, analysis, synthesis, modelling in conceptual basics of the structural method. The article creates a logical consequence of methodological devices in the system of humanitarian sciences that allow to obtain new results. The ground of using of the mentioned methodological approaches is building an integral сultural and semantic space that allow to conceptually determine the institutional processes.
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Lu, Yanyu, Yiyuan Zheng, Zhen Wang, and Shan Fu. "Pilots’ Visual Scanning Behaviors During an Instrument Landing System Approach." Aerospace Medicine and Human Performance 91, no. 6 (June 1, 2020): 511–17. http://dx.doi.org/10.3357/amhp.5501.2020.

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BACKGROUND: Since eye movement can provide a reliable index of the attention allocation, which can assist in understanding pilots’ cognitive state, this study investigated the effect of pilots’ experience and the autopilot mode on their attention allocation on the Primary Flight Display (PFD) and Multi-Function Display (MFD) during an approach task.METHODS: There were 16 pilots who were classified into two levels of aviation expertise depending on the flight hours, and required to fly an Instrument Landing System approach. Their visual scanning behaviors were recorded through an eye tracker and analyzed based on fixation number and dwell time.RESULTS: The results revealed that the pilot experience level, instrument panel and autopilot mode all had significant impact on the fixation time ratio and dwell time. The pilots fixated most often on the PFD and had shorter dwell time. Furthermore, they had a lower fixation number and shorter dwell time on the PFD and MFD when the autopilot was off that they should allocate visual resources to the others (e.g., out-of-the-window) and obtain more information to maintain overall situation awareness under higher time pressure. Compared to pilots with more expertise, pilots with less expertise had an increased fixation number and decreased dwell time on the airspeed after turning off the autopilot.DISCUSSION: The present study indicated that the pilots had different visual scanning modes according to the flight mode and their experience. We expect that pilots’ visual scanning behaviors during tasks will help the training and the design of the human-machine interaction.Lu Y, Zheng Y, Wang Z, Fu S. Pilots’ visual scanning behaviors during an instrument landing system approach. Aerosp Med Hum Perform. 2020; 91(6):511–517.
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Utama, Ahmad Aditya Putra, and Heru Suyanto. "Implementation of Double Track System in Conviction Towards Special Expertise Crime." Ius Poenale 2, no. 1 (March 17, 2021): 1–20. http://dx.doi.org/10.25041/ip.v2i1.2152.

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Sentencing must be guided by the principle of quae sunt minoris culpae sunt majoris infamiae (cruel crimes will be punished with cruel punishment). However, there must be a limit to the punishment (poenae sunt restringenade). In its implementation, the imposition of crimes against convicted people often creates ongoing problems in people's lives. Instead of aiming to popularize the convicts, in fact the imposition of crimes often causes suffering to the perpetrator and even his family. This study aims to determine the basis for justifying the imposition of sanctions in the punishment of criminals with special skills and to formulate the ideal concept of punishment for convicts with special skills in the future. This research is a normative legal research; the data source in this study uses secondary data consisting of primary legal materials, secondary legal materials, and tertiary legal materials. The approach in this research uses a statutory approach, a comparative approach and a conceptual approach. Based on the results of the study, it shows that the basis for justifying the imposition of sanctions for criminal acts with special expertise is the Mark system of penalties. The use of the Double Track System in the punishment of convicts who have special expertise in the field of science so that it is in line with the criminal purpose of providing education, in addition to being convicted with the main crime, the convict is also subject to acts in the form of social work by teaching/transforming the knowledge/expertise possessed to people, many through certain educational/research institution/institutions online (on line).
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Kuzmina-Merlino, Irina, and Svetlana Savina. "Assessing the Effectiveness of Improved Financial Management System Using the Expertise-oriented Approach." Procedia - Social and Behavioral Sciences 207 (October 2015): 833–42. http://dx.doi.org/10.1016/j.sbspro.2015.10.174.

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Ste-Marie, Diane M. "Expertise in Women's Gymnastic Judging: An Observational Approach." Perceptual and Motor Skills 90, no. 2 (April 2000): 543–46. http://dx.doi.org/10.2466/pms.2000.90.2.543.

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Observation was used to study expertise in gymnastic judging. 10 expert and 10 novice gymnastic judges were videotaped while judging at actual competitions. Analyses showed that novice judges, as compared to expert judges, spent less time looking at the gymnast perform, spent more time looking at the scoring paper, and were less able to engage in the dual-task demands required in gymnastic judging.
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Basri, H. "An expert system for planning landfill restoration." Water Science and Technology 37, no. 8 (April 1, 1998): 211–17. http://dx.doi.org/10.2166/wst.1998.0327.

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The application of expert systems technology in the domain of environmental management is particularly appropriate in order to preserve and disseminate efficiently valuable and scarce expertise at reasonable costs. The Landfill Restoration Plan Advisor (LRPA) is an expert system designed for use in the planning of sanitary landfill restoration. This paper describes the LRPA and the methodology and techniques that were employed for its development. A unique feature of this experience was that knowledge was acquired from multiple expertise sources in various forms. Expertise acquired from text analysis of textbooks and manuals was used in developing the core knowledge base for the expert system; while those acquired from text analysis of research publications and interviews with selected domain experts was used in the subsequent refinement and expansion of the basic prototype. The building process for the LRPA prototype adopted a modular approach using the incremental rapid prototyping methodology.
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Dissertations / Theses on the topic "System approach of expertise"

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Hlásková, Michaela. "Analýza požadavků oceňovacích standardů IVS a jejich aplikace v posudku o ocenění majetku." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-232532.

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The motivation to this master`s thesis is an increasing demand on evaluation of expertise report in conformity with requirements of internationally accepted standards as well as with national legal regulations. This master`s thesis is focused on defining of requirements of International Valuation Standards – IVS. The objective of the introductory study of this thesis is an effort to provide overview of the structure, the history and development of International Valuation Standards – IVS. The introductory study points out that the IVS standard is not stationary one, but shows the importance to keep the continuous track and analyze other possible information sources in connection to it. The main objective is to analyze the principal requirements of International Valuation Standards for expert as a person, expertise activity and required features of expertise report. The gained information is processed on the base of an expertise system approach, where the expertise is interpreted as a structured object with principal features: expertise object, expertise problem, expertise activity, expertise report and expert. Established findings are then analyzed regarding to such interpreted system approach of expertise and applied in the determination of type of approach which an expert should follow in the procedure of making out an expertise report of property valuation. Finally, an example expertise report for valuation of real estate is compiled. Such expertise report could be considered in conformity with national legal regulation as well as with requirements of International Valuation Standards – IVS. The expertise report is a practical example of findings of this master`s thesis.
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Saulais, Pierre. "Application de la gestion des connaissances à la créativité des experts et à la planification de la R & T en milieu industriel de haute technologie." Thesis, Evry-Val d'Essonne, 2013. http://www.theses.fr/2013EVRY0031/document.

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Le travail de recherche qui suit vise à l’obtention d’une méthodologie opératoire propre à faire évoluer la culture organisationnelle d’une firme dans le domaine de l’activité inventive, en particulier en opérant un transfert culturel à partir du monde académique. Il s’agit de construire un procédé de recueil et d’explicitation des connaissances inventives ayant abouti à une conception nouvelle, puis à exploiter en interne les résultats de ce premier procédé en appliquant ceux-ci à un second procédé ayant la dimension d’un apprentissage organisationnel. Le dispositif expérimental présenté a visé à réaliser la validation des hypothèses formulées. L’étude de cas dans notre organisation a permis de concrétiser, sur la base du bilan de l’évolution temporelle du patrimoine intellectuel inventif, l’approche de la créativité stimulée par les connaissances dans un cadre limité à trois domaines de connaissance et où l’on vise une innovation incrémentale. Ce mécanisme met en jeu individuellement et collégialement un ensemble d’acteurs impliqués dans l’inventaire préalable du patrimoine intellectuel inventif et dans son évolution stratégique au sens de l’organisation. En outre, ce travail introduit une vision peu commune de l’activité de R & T d’une organisation industrielle, vision où l’approche par la connaissance non contextuelle se substitue aux approches contextuelles usuelles par produits et services. Cette méthodologie opératoire s’appuie sur une approche conceptuelle de la créativité appliquée à la création de connaissances inventives. Cette création de connaissances est interprétée comme une mutation épistémologique déclenchée par la nature profondément paradoxale de la créativité. Le (futur) créateur doit porter en lui l’essence d’une oeuvre constituant la future création, la créativité lui permettant d’identifier cette essence par abstraction et l’inventivité lui permettant de donner performativement une Forme à cette abstraction. La mise au jour de liens puissamment opératoires entre des domaines peu mis en regard jusqu’alors, ceux de la Créativité/Inventivité, du Patrimoine Intellectuel et de l’Ingénierie des Connaissances fournit de solides fondations à l’approche conceptuelle de la création de connaissances inventives, ainsi qu’à de nombreuses perspectives de recherches supplémentaires
The following research work aims at getting an operational methodology able to make firm’s organizational culture progress in the inventive activity field, especially through a cultural transfer from academic world. The point is first building a process gathering and making explicit inventive knowledge which succeeded in a new design. Then, results coming out of this first process are applied to a second process featuring organizational learning. We described an experimental plan dedicated to the validation of the research hypotheses that we formulated. The case study based on our own organization was the opportunity to get a first operational validation of Knowledge-based innovation method applied to a 3-knowledge domain configuration for incremental innovation. Creativity stimulation was operated through the time-evolution synthesis of intangible inventive intellectual corpus. This mechanism both individually and collectively involves numerous actors already solicited for the preliminary inventory of inventive intellectual corpus and for its strategic evolution according to the firm.Moreover, this work brings an usual view on industrial R & T activity, where non contextual knowledge approach is substituted to conventional contextual approach bases on products. This operational methodology is based on a conceptual approach of creativity applied to the generation of inventive knowledge, which is seen as an epistemological mutation triggered by the most paradoxical nature of creativity. The (future) creator must house in himself the essence of intellectual work which will be the future creation: creativity allows him to identify this essence by abstraction and inventivity allows him to performatively give a Form to this abstraction. By revealing strongly operative links between poorly linked domains(Creativity/Inventivity, Intellectual Corpus, Knowledge Management), solid foundations are brought to the conceptual approach of inventive knowledge generation and to numerous perspectives of extra research
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Durand, William. "Automated test generation for production systems with a model-based testing approach." Thesis, Clermont-Ferrand 2, 2016. http://www.theses.fr/2016CLF22691/document.

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Ce manuscrit de thèse porte sur le problème du test basé modèle de systèmes de production existants, tels ceux de notre partenaire industriel Michelin, l’un des trois plus grands fabricants de pneumatiques au monde. Un système de production est composé d’un ensemble de machines de production contrôlées par un ou plusieurs logiciels au sein d’un atelier dans une usine. Malgré les nombreux travaux dans le domaine du test basé modèle, l’écriture de modèles permettant de décrire un système sous test ou sa spécification reste un problème récurrent, en partie à cause de la complexité d’une telle tâche. De plus, un modèle est utile lorsqu’il est à jour par rapport à ce qu’il décrit, ce qui implique de le maintenir dans le temps. Pour autant, conserver une documentation à jour reste compliqué puisqu’il faut souvent le faire manuellement. Dans notre contexte, il est important de souligner le fait qu’un système de production fonctionne en continu et ne doit être ni arrêté ni perturbé, ce qui limite l’usage des techniques de test classiques. Pour pallier le problème de l’écriture de modèles, nous proposons une approche pour construire automatiquement des modèles depuis des séquences d’événements observés (traces) dans un environnement de production. Pour se faire, nous utilisons les informations fournies par les données échangées entre les éléments qui composent un système de production. Nous adoptons une approche boîte noire et combinons les notions de système expert, inférence de modèles et machine learning, afin de créer des modèles comportementaux. Ces modèles inférés décrivent des comportements complets, enregistrés sur un système analysé. Ces modèles sont partiels, mais également très grands (en terme de taille), ce qui les rend difficilement utilisable par la suite. Nous proposons une technique de réduction spécifique à notre contexte qui conserve l’équivalence de traces entre les modèles de base et les modèles fortement réduits. Grâce à cela, ces modèles inférés deviennent intéressant pour la génération de documentation, la fouille de données, mais également le test. Nous proposons une méthode passive de test basé modèle pour répondre au problème du test de systèmes de production sans interférer sur leur bon fonctionnement. Cette technique permet d’identifier des différences entre deux systèmes de production et réutilise l’inférence de modèles décrite précédemment. Nous introduisons deux relations d’implantation : une relation basée sur l’inclusion de traces, et une seconde relation plus faible proposée, pour remédier au fait que les modèles inférés soient partiels. Enfin, ce manuscrit de thèse présente Autofunk, un framework modulaire pour l’inférence de modèles et le test de systèmes de production qui aggrège les notions mentionnées précédemment. Son implémentation en Java a été appliquée sur différentes applications et systèmes de production chez Michelin dont les résultats sont donnés dans ce manuscrit. Le prototype développé lors de la thèse a pour vocation de devenir un outil standard chez Michelin
This thesis tackles the problem of testing (legacy) production systems such as those of our industrial partner Michelin, one of the three largest tire manufacturers in the world, by means of Model-based Testing. A production system is defined as a set of production machines controlled by a software, in a factory. Despite the large body of work within the field of Model-based Testing, a common issue remains the writing of models describing either the system under test or its specification. It is a tedious task that should be performed regularly in order to keep the models up to date (which is often also true for any documentation in the Industry). A second point to take into account is that production systems often run continuously and should not be disrupted, which limits the use of most of the existing classical testing techniques. We present an approach to infer exact models from traces, i.e. sequences of events observed in a production environment, to address the first issue. We leverage the data exchanged among the devices and software in a black-box perspective to construct behavioral models using different techniques such as expert systems, model inference, and machine learning. It results in large, yet partial, models gathering the behaviors recorded from a system under analysis. We introduce a context-specific algorithm to reduce such models in order to make them more usable while preserving trace equivalence between the original inferred models and the reduced ones. These models can serve different purposes, e.g., generating documentation, data mining, but also testing. To address the problem of testing production systems without disturbing them, this thesis introduces an offline passive Model-based Testing technique, allowing to detect differences between two production systems. This technique leverages the inferred models, and relies on two implementation relations: a slightly modified version of the existing trace preorder relation, and a weaker implementation proposed to overcome the partialness of the inferred models.Overall, the thesis presents Autofunk, a modular framework for model inference and testing of production systems, gathering the previous notions. Its Java implementation has been applied to different applications and production systems at Michelin, and this thesis gives results from different case studies. The prototype developed during this thesis should become a standard tool at Michelin
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Waters, Andrew J. "The psychology of music reading : an expertise approach." Thesis, University of Nottingham, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241507.

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Ivanova, Adelina Velikova. "Discourse processing during simultaneous interpreting : an expertise approach." Thesis, University of Cambridge, 2000. https://www.repository.cam.ac.uk/handle/1810/251740.

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Reddy, Jayachandra Lakshmana. "SITE: System for Interactive Transfer of Expertise." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/76343.

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Knowledge based systems are currently the most marketable products of Artificial Intelligence research. The process of developing a knowledge based system can be very time consuming and costly. This thesis provides an automated, structured, knowledge acquisition methodology for accelerated development of knowledge based systems. This constrained approach leads to considerable savings in development costs, and results in a modular system that is easy to maintain. The system acts as a design consultant' to help the expert in elucidating his knowledge to the end-users.
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Shao, Borong. "A Mixture-of-Experts Approach for Gene Regulatory Network Inference." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3072.

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Context. Gene regulatory network (GRN) inference is an important and challenging problem in bioinformatics. A variety of machine learning algorithms have been applied to increase the GRN inference accuracy. Ensemble learning methods are shown to yield a higher inference accuracy than individual algorithms. Objectives. We propose an ensemble GRN inference method, which is based on the principle of Mixture-of-Experts ensemble learning. The proposed method can quantitatively measure the accuracy of individual GRN inference algorithms at the network motifs level. Based on the accuracy of the individual algorithms at predicting different types of network motifs, weights are assigned to the individual algorithms so as to take advantages of their strengths and weaknesses. In this way, we can improve the accuracy of the ensemble prediction. Methods. The research methodology is controlled experiment. The independent variable is method. It has eight groups: five individual algorithms, the generic average ranking method used in the DREAM5 challenge, the proposed ensemble method including four types of network motifs and five types of network motifs. The dependent variable is GRN inference accuracy, measured by the area under the precision-recall curve (AUPR). The experiment has training and testing phases. In the training phase, we analyze the accuracy of five individual algorithms at the network motifs level to decide their weights. In the testing phase, the weights are used to combine predictions from the five individual algorithms to generate ensemble predictions. We compare the accuracy of the eight method groups on Escherichia coli microarray dataset using AUPR. Results. In the training phase, we obtain the AUPR values of the five individual algorithms at predicting each type of the network motifs. In the testing phase, we collect the AUPR values of the eight methods on predicting the GRN of the Escherichia coli microarray dataset. Each method group has a sample size of ten (ten AUPR values). Conclusions. Statistical tests on the experiment results show that the proposed method yields a significantly higher accuracy than the generic average ranking method. In addition, a new type of network motif is found in GRN, the inclusion of which can increase the accuracy of the proposed method significantly.
Genes are DNA molecules that control the biological traits and biochemical processes that comprise life. They interact with each other to realize the precise regulation of life activities. Biologists aim to understand the regulatory network among the genes, with the help of high-throughput techonologies, such as microarrays, RNA-seq, etc. These technologies produce large amount of gene expression data which contain useful information. Therefore, effective data mining is necessary to discover the information to promote biological research. Gene regulatory network (GRN) inference is to infer the gene interactions from gene expression data, such as microarray datasets. The inference results can be used to guide the direction of further experiments to discover or validate gene interactions. A variety of machine learning (data mining) methods have been proposed to solve this problem. In recent years, experiments have shown that ensemble learning methods achieve higher accuracy than the individual learning methods. Because the ensemble learning methods can take advantages of the strength of different individual methods and it is robust to different network structures. In this thesis, we propose an ensemble GRN inference method, which is based on the principle of the Mixture-of-Experts ensemble learning. By quantitatively measure the accuracy of individual methods at the network motifs level, the proposed method is able to take advantage of the complementarity among the individual methods. The proposed method yields a significantly higher accuracy than the generic average ranking method, which is the most accurate method out of 35 GRN inference methods in the DREAM5 challenge.
0769607980
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Loughlin, Simon Patrick. "Modelling expertise in quantitative scientific problem solving." Thesis, Queen's University Belfast, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268228.

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Traianou, Anna. "Understanding teacher expertise in primary science : a critique from a sociocultural approach." Thesis, Open University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288338.

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Schanbacher, Lena. "Expertise Knowledge of Successful Initiatives within Organizations: A Group Concept Mapping Approach." Thesis, Mälardalens högskola, Akademin för hälsa, vård och välfärd, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39776.

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The professional world, as well as, the single employee faces multiple challenges in daily routine. To improve individual health along with the whole organization, interventions are conducted. However, a summary of requirements for successful initiatives are not existing. The study describes a Group Concept Mapping approach with multinational and multidisciplinary experts in the area of organizational development. From 112 single requirements for successful interventions, finally the following 15 clusters are identified, which function as a framework for the implementation of interventions: (1) Context alignment/intervention fit, (2) Continual modification, (3) Assessment (situation & risk)/ recurrent, (4) Planning/structural change processes, (5) Active collaboration from different stakeholders, (6) Transparent communication, (7) Pay attention to participants, (8) Leadership, (9) Supportive climate for learning, (10) Persistence/ complexity, (11) Point of departure/prerequisite, (12) Impact (what kind & monitoring), (13) Perceived value, (14) Variation and (15) Single Statements.  The provided knowledge can be used by practitioners -especially consultants -in the process of planning, conducting and evaluating a successful initiative.
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Books on the topic "System approach of expertise"

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Kosko, Bart. Neural networks and fuzzy systems: A dynamical systems approach to machine intelligence. HemelHempstead: Prentice-Hall, 1992.

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Neural networks and fuzzy systems: A dynamical systems approach to machine intelligence. Englewood Ciffs, NJ: Prentice Hall, 1992.

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Mattos, Nelson Mendonça. An approach to knowledge base management. Berlin: Springer-Verlag, 1991.

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Bareiss, Ray. Exemplar-based knowledge acquisition: A unified approach to concept representation, classification, and learning. Boston: Academic Press, 1989.

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System enquiry: A system dynamics approach. Chichester: Wiley, 1990.

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Hagen, William Von. Quarterdeck eXpertise: User guide for Windows 95/Windows NT. Marina Del Rey, CA: Quarterdeck, 1995.

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Erman, Don C. Wildland expertise and facilities in the University of California System. Berkeley, Calif. (145 Mulford Hall, Berkeley 94720): Wildland Resources Center, Division of Agriculture and Natural Resources, University of California, 1993.

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Erman, Don C. Wildland expertise and facilities in the California State University System. Berkeley, Calif. (145 Mulford Hall, Berkeley 94720): Wildland Resources Center, Division of Agriculture and Natural Resources, University of California, 1992.

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Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledge base bipartite oriented mivar nets, including analysis formulas braking qualities of the vehicle, determining the speed of a car's performance in terms of specific DTS, the formula for calculating different occasions: - slip car when braking, driving on curved sections of the road, hitting a car on the pedestrian in uniform motion and unlimited visibility; a method of generation of interfaces for designer expert systems based on the concept of mivar approach; special software in the form of expert systems "Analysis of road accident" in order to reduce the complexity of the process of calculating the disputed accidents, errors in the calculation and improve the accuracy and objectivity of the results obtained and the speed and quality of the calculations. It can be useful to specialists of expert institutions, insurance companies, educational institutions in the field of expertise, as well as unmanned vehicles in terms of objective analysis and examination of road accidents.
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1954-, Goodland Mike, ed. SSADM: A practical approach. London: McGraw-Hill, 1990.

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Book chapters on the topic "System approach of expertise"

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Dzemydiene, Dale. "An Approach to Modelling Expertise in the Environment Pollution Evaluation System." In Databases and Information Systems, 209–20. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9636-7_17.

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Giacominelli, Barbara, Margherita Pasini, and Rob Hall. "Achieving Diagnostic Expertise through Technology: A Cue Based Approach." In Advances in Intelligent Systems and Computing, 87–92. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07698-0_11.

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de La Robertie, B., L. Ermakova, Y. Pitarch, A. Takasu, and O. Teste. "A Unified Approach for Learning Expertise and Authority in Digital Libraries." In Database Systems for Advanced Applications, 354–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55699-4_22.

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Buccafurri, Francesco, Antonello Comi, Gianluca Lax, and Domenico Rosaci. "A Trust-Based Approach to Clustering Agents on the Basis of Their Expertise." In Advances in Intelligent Systems and Computing, 47–56. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07650-8_6.

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Carneiro, João, Diogo Martinho, Goreti Marreiros, and Paulo Novais. "Including Credibility and Expertise in Group Decision-Making Process: An Approach Designed for UbiGDSS." In Advances in Intelligent Systems and Computing, 416–25. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56538-5_42.

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De Donato, Renato, Martina Garofalo, Delfina Malandrino, Maria Angela Pellegrino, Andrea Petta, and Vittorio Scarano. "QueDI: From Knowledge Graph Querying to Data Visualization." In Semantic Systems. In the Era of Knowledge Graphs, 70–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59833-4_5.

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Abstract While Open Data (OD) publishers are spur in providing data as Linked Open Data (LOD) to boost innovation and knowledge creation, the complexity of RDF querying languages, such as SPARQL, threatens their exploitation. We aim to help lay users (by focusing on experts in table manipulation, such as OD experts) in querying and exploiting LOD by taking advantage of our target users’ expertise in table manipulation and chart creation. We propose QueDI (Query Data of Interest), a question-answering and visualization tool that implements a scaffold transitional approach to 1) query LOD without being aware of SPARQL and representing results by data tables; 2) once reached our target user comfort zone, users can manipulate and 3) visually represent data by exportable and dynamic visualizations. The main novelty of our approach is the split of the querying phase in SPARQL query building and data table manipulation. In this article, we present the QueDI operating mechanism, its interface supported by a guided use-case over DBpedia, and the evaluation of its accuracy and usability level.
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Bourion, Christian. "Expertise: Your First Skill." In A Management System Exempt from Power, 16–40. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230800786_2.

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Arjo, Dennis. "Moral Expertise: A Comparative Philosophical Approach." In Philosophy and Medicine, 35–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92759-6_2.

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Tefferi, Ayalew. "Diagnostic Approach in Myeloproliferative Neoplasms." In Cancer Consult: Expertise for Clinical Practice, 135–41. Oxford, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118589199.ch20.

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Kimiaghalam, Bahram, Abdollah Homaifar, and Albert C. Esterline. "A Statechart Framework for Agent Roles that Captures Expertise and Learns Improved Behavior." In Formal Approaches to Agent-Based Systems, 28–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45133-4_3.

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Conference papers on the topic "System approach of expertise"

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Neiva, Francila Weidt, Juliana B. S. Franca, Angelica F. S. Dias, and Marcos R. S. Borges. "An innovative approach to accelerate expertise transfer in organizations." In 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2017. http://dx.doi.org/10.1109/smc.2017.8122872.

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Shahroudi, K. Eftekhari. "An Open Approach to Condition Monitoring, Diagnosis and Decision Support Systems." In ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/98-gt-156.

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In increasing the availability and reducing the maintenance costs of gasturbines in critical applications, there has been an increasing trend towards Condition Monitoring, Diagnostic and Decision Support systems (CMD&D). The idea is to reduce the number of routine preventative maintenance procedures, in favor of techniques that continuously monitor the health and diagnose faults as they develop. Early isolation of the root cause of problems, allows the operators to better plan the corrective maintenance actions, taking into account the gasturbine and the other units with which it collaborates. Clearly, this requires expertise in many fields such as Data Acquisition, Trending, Aerothermodynamic Performance, Vibration, Emissions, Fault Isolation, etc. In addition, it is increasingly becoming expensive to have experts available at all locations, so the solution obviously lies in (Semi-)autonomous systems. Their task would be to monitor the health and diagnose symptoms of machinery, perhaps in collaboration with junior experts locally and senior experts at a remote center. This report outlines some of the results of a short but broad technical exploration in the questions of why none of the existing packages have achieved widespread acceptance, and how a turbine control manufacturer can play a significant role. A conceptual solution is presented which can meet the challenging functionality, data abstraction, automation and communication requirements by integration of expertise and modules from different groups. However, details on how to turn the concept into a product have been puposely ommitted in order to safeguard proprietory activity.
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Hauke, Krzysztof. "Process Approach to Management Knowledge Objects Managerial Expertise for Distance Learning." In 2015 Federated Conference on Computer Science and Information Systems. IEEE, 2015. http://dx.doi.org/10.15439/2015f328.

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Colquhoun, Iain, Christian Calvi, and Harry MacPherson. "Management System Approach to Pipeline Integrity." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10531.

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The development and implementation of specific technical procedures tend to be emphasized as key measures required to ensure the integrity of pipeline systems. These activities are clearly of vital importance. However, the integration of these activities and associated integrity programs with the overall management of the business also plays an important role in guaranteeing success of the programs. This paper describes a typical pipeline integrity management system, its objectives, and its links to other enterprise management systems. The paper also outlines simple methods that can be used to evaluate any given integrity management system’s components with a view to evaluating the programs effectiveness and driving continual improvement. These methods involve the identification of gaps with respect to specified benchmarks, and the design and implementation of risk-based programs to close the gaps. The benefits claimed include: • A comprehensive and holistic approach to pipeline integrity management aligned with company goals and objectives. • Engagement of company-wide technical expertise. • Buy-in and validation by all levels of company management. • Promotion of a company culture that encourages sustainable development of integrity management programs.
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Hughes, Gareth, and Richard Crowder. "Experiences in Designing Highly Adaptable Expertise Finder Systems." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48219.

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A strategy or method for identifying an expert is at the core of any Expertise Finder system. The strategy used must reflect the social requirements of the organisation and its assets, culture and technology. An Expertise Finder strategy must attempt to emulate the steps a member of that organisation would do to find the answer to their questions. Our collaboration with a large manufacturing enterprise has helped us evolve an approach to building Expertise Finder systems. Our approach contains the required flexibility to cope with the mix of technological, social and legacy factors that make each deployment of an Expertise Finder system very different to any other. The component based design allows a deployer to customise the basic system to utilise their relevant technical resources and then to build a unique strategy algorithm to produce a valid set of recommendations. The design produces challenging questions of how to produce a procedure for designing, deploying and evaluating the Expertise Finder strategy. This paper discusses the evolution of this design strategy and summarises our experiences to date.
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Seneviratne, A. M. N. D. B., and R. M. Chandima Ratnayake. "Development of FIS for Identification of Potential Failure Locations in Topside Piping Sub-Systems: An Expert System Based Approach." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41519.

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The identification of potential failure locations in ageing topside piping equipment of offshore production and process facilities (P&PFs) requires rigorous analyses. The risk based inspection (RBI) analysis methods defined in industrial standards classify the equipment according to the risk levels. The RBI analysis carried out on the plant equipment of P&PFs identifies the systems and sub-systems according to the different risk levels. However, the sub-systems (i.e. corrosion loops) are mainly defined according to the degradation behavior of the equipment. The equipment hierarchy for P&PFs is designed based on the RBI analysis outcome. The major part of risk level evaluation is based on equipment’s probability of failure, which is related to degradation. The risk level analysis of equipment and thickness measurement locations (TMLs) within a sub-system is based on the expert engineering judgments of field experts. This analysis varies depending on the expertise of the evaluator in identifying and classifying critical TMLs in a sub-system. This manuscript illustrates an expert system using fuzzy inference systems (FISs) to identify the potential failure of TMLs in a sub-system suppressing the variation of analysis results given by different field experts. The method is illustrated by considering two degradation mechanisms (corrosion and erosion) to identify the probability of potential failure and integrating the production and process data to the FIS based expert system to generate a dynamic output.
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Maksimov, Yuri, Mars Khasanov, Aleksander Blyablyas, Sergey Vershinin, Evgeny Ognev, and Roman Starostenko. "A Revolutionary Approach to Meeting Technological Challenges." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206210-ms.

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Abstract Gazprom Neft Science and Technology Center tailors various system engineering methods and other practices to the agenda of oil and gas industry. Resulting consistent approaches will produce a sort of work book enabling management of complex projects throughout the Upstream perimeter. Value-Driven Engineering is a strategic approach to system engineering that optimizes several disciplines within a single model. For example, complex project components are broken down into simpler elements, making it easier to find responsible action officers. Planning is broken down into phases that make it easier to meet the assigned deadlines. It allows you to fragmentize the end product at the design and management phase with a view to edit the product's configuration during the work. Essentially, the VDE approach best resembles a step-by-step guide to putting together a construction made up of multiple elements: without this guide, building the elements into one piece is a much harder job. System engineering is being successfully employed by NASA and aircraft industry today. The approach helps bring together numerous correlated technologies in spacecraft and aircraft building. In the oil industry, BP and Shell are the pioneers in using VDE. Seeking to tailor the system engineering approaches to the applied problems of Gazprom Neft, the Company engineers deliver work in several stages. Stage one is a look back study of projects that covers all the aspects of oil production, from seismic survey to field operation. To build the optimal concept, a project team studies special literature and existing practices in related sectors, essentially among foreign counterparts. The Company has already analyzed the existing research breakthroughs, best practices and digital tools. Even though VDE will chiefly focus on the development of new reservoirs, its individual practices may be successfully utilized at existing assets. Oil and gas production system is growing more complex every day because of the number of control elements and uncertainties that the oil and gas Company has to face at the early stages of planning a future asset. Development of each product, from concept to final implementation, involves a number of lifecycle stages; the sequence of these stages and the necessary toolkit for each stage is identified by the area of expertise known as system engineering. System engineering works perfectly if a certain product or system has existing equivalents, but engineers today may have to handle their tasks in absence of equivalent solutions, which necessitates engagement of creative competences. Development of such competences and inventive problem solving are in the focus of the area of expertise known as creative problem solving that relies on the TRIZ methods (TRIZ = theory of inventive problem solving). Technology intelligence is the area of expertise that focuses on aggregation of experience and employment of solutions from related industries or even from fundamental science. It allows engineering teams to work in an orderly and consistent fashion to find appropriate solutions in nature or in other areas of expertise and to accumulate such solutions in the Company's knowledge cloud. Development of complex systems and products, which include reservoir management, requires multidisciplinary engineering teams. An area of expertise known as team leadership is designed to make collaboration among team members more efficient. Value-Driven Engineering (VDE) is premised on the fundamental principles of systematic thinking of an engineer and human creativity. The conceptual framework of Value-Driven Engineering is shown in Figure 1. Figure 1 Conceptual framework of Value-Driven Engineering The concept involves four key areas of expertise: System engineering, i.e. the set of practices to control the technological system/product development process; Inventive problem solving, i.e. the methods and tools used to catalyze creative competence and problem solving skills; Technology intelligence, i.e. management of comprehensive scouting for human resources and new technologies; Team leadership, i.e. step-by-step guide to transform a group of specialists into a successful team by means of identifying the optimal team size and balance of roles and building a leadership system (goal, mission). This article provides a detailed outlook on the above methods and practices of tackling the challenges faced by the oil and gas industry.
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Sotudeh Chafi, M., M. R. Akbarzadeh-T., M. Moavenian, and M. Ziejewski. "Agent Based Soft Computing Approach for Component Fault Detection and Isolation of CNC X-Axis Drive System." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41848.

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A novel agent based soft computing approach is proposed for fault detection and isolation (FDI) systems for industrial plants, in particular a highly nonlinear CNC X-axis drive system’s component fault detection. The fuzzy-neuro architecture utilizes fuzzy clustering to build a nominal model, several fuzzy agents with local expertise, a fuzzy moderator for estimation of fault location, and finally several neuro-based (RBF) agents to estimate fault size. To illustrate the merits of the proposed method, it is applied to diagnosis of component faults of a CNC X-axis drive system amid significant noise levels. Simulation results demonstrate that the resulting FDI system is able to properly locate the fault types under all test conditions, and is sensitive to faults sizes as small as 0.5%.
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Gramatikas, George F., and Daniel L. Davis. "Expanding Expertise With State-of-the-Art Monitoring." In ASME 1989 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/89-gt-95.

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This paper describes a program that groups gas turbines from one or more sites for the purpose of efficient monitoring and performance evaluation. Cost-improved gas turbine and power plant operation is achieved by a new, unified-yet-flexible service approach which combines state-of-the-art microprocessor-based monitoring with routine and emergency evaluation by a core of highly skilled personnel many miles from the operating site. This unique approach delivers expertise which supplements the gas turbine owner’s in-house resources. It is based on a modular concept of condition health monitoring and performance evaluation, including scheduled as well as on-line services. Portable condition health monitoring equipment provides the capability for scheduled plant performance evaluation by service engineers without investment in additional equipment. On-line monitoring includes a PC-based software system and a computer link to the service engineer’s headquarters. Both scheduled and on-line monitoring services include trend evaluation, projected maintenance requirements, maintenance planning assistance and suggestions for performance enhancement.
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Martinez, Iliana, Oleg Lukibanov, Timothy Lenz, Clark Radcliffe, and Jon Sticklen. "Augmenting Conceptual Design With Manufacturing: An Integrated Generic Task Approach." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dfm-8948.

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Abstract The consideration of manufacturing expertise can improve both the quality and the speed of artifact design by helping to evaluate the ease with which an artifact can be manufactured. Most work in this area has addressed the detailed stage of the design process and has required precise CAD-like representations. To make the most effective use of this expertise, however, design for efficacious manufacturing should also be a concern in the conceptual stage of the design process. This paper describes a computational approach that generates conceptual fabrication plans given a qualitative description of a design. This system contains expert-level knowledge from the composites manufacturing community and incorporates a comprehensive ontology into a framework for representing conceptual manufacturing plans. The Generic Task approach serves as the broad methodological foundation for these developments. Polymer composite structural elements of an unmanned aerial vehicle (UAV) are used to test this conceptual fabrication planning system.
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Reports on the topic "System approach of expertise"

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Koijen, Ralph S. J., and Motohiro Yogo. A Demand System Approach to Asset Pricing. Cambridge, MA: National Bureau of Economic Research, November 2015. http://dx.doi.org/10.3386/w21749.

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Skormin, Victor A. Biological Approach to System Information Security (BASIS). Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada420842.

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Matthes, M., D. Harvey, and C. Thacker. System Engineering Approach Gas Breech for Actinide. Office of Scientific and Technical Information (OSTI), June 2021. http://dx.doi.org/10.2172/1788314.

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Freer, Mary. Two Delivery System Contexts for the Elderly:The "Institutional" Approach and the "Community" Approach. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1627.

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ROBINSON, DAVID G. A Hierarchial Bayes Approach to System Reliability Analysis. Office of Scientific and Technical Information (OSTI), November 2001. http://dx.doi.org/10.2172/820878.

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Brownsword, Lisa, David Fisher, Ed Morris, James Smith, and Patrick Kirwan. System-of-Systems Navigator: An Approach for Managing System-of-Systems Interoperability. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada449276.

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Ong, James, and Sowmya Ramachandran. An Intelligent Tutoring System Approach to Adaptive Instructional Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada437533.

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Hoting, S. K., and R. J. Costello. Computer Systems Division Software System Metrics Approach, Revision 1. Fort Belvoir, VA: Defense Technical Information Center, September 1996. http://dx.doi.org/10.21236/ada328410.

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Zhu, Zhigang, and Harvey E. Rhody. A System Approach to Adaptive Multi-Modal Sensor Designs. Fort Belvoir, VA: Defense Technical Information Center, February 2010. http://dx.doi.org/10.21236/ada528562.

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Candy, J. V. A Model-Based Approach to Scintillator/Photomultiplier System Characterization. Office of Scientific and Technical Information (OSTI), December 2014. http://dx.doi.org/10.2172/1179437.

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