Relevant bibliographies by topics / Feature management

Academic literature on the topic 'Feature management'

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Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Feature management"

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Hora, Parul, Neha Sheth, and Santosh K. Vishwakarma. "Disaster Management using Ontology Feature." International Journal of Computer Applications 183, no. 49 (January 18, 2022): 6–9. http://dx.doi.org/10.5120/ijca2022921901.

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Lamprecht, Anna-Lena, Stefan Naujokat, and Ina Schaefer. "Variability Management beyond Feature Models." Computer 46, no. 11 (November 2013): 48–54. http://dx.doi.org/10.1109/mc.2013.299.

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Beuche, Danilo, Holger Papajewski, and Wolfgang Schröder-Preikschat. "Variability management with feature models." Science of Computer Programming 53, no. 3 (December 2004): 333–52. http://dx.doi.org/10.1016/j.scico.2003.04.005.

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Bitton, Etty. "Lubricity feature enhances SLK management." Contact Lens and Anterior Eye 38 (February 2015): e27-e28. http://dx.doi.org/10.1016/j.clae.2014.11.037.

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Lamke, Gene G. "A Journal Feature–Personnel Management." Recreational Sports Journal 16, no. 1 (October 1991): 12. http://dx.doi.org/10.1123/nirsa.16.1.12.

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Govier, Ian. "Feature." Nursing Management 10, no. 9 (February 2004): 13–15. http://dx.doi.org/10.7748/nm.10.9.13.s12.

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Gattol, Valentin, Maria Sääksjärvi, Tripat Gill, and Jan Schoormans. "Feature fit." European Journal of Innovation Management 19, no. 4 (October 10, 2016): 589–607. http://dx.doi.org/10.1108/ejim-08-2015-0069.

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Purpose Previous research in the context of feature fit has examined the effects of congruence (i.e. more specifically, the extent to which a new feature and the product are similar in the hedonic-utilitarian benefits they provide to consumers). The purpose of this paper is to examine a second dimension of feature fit: complementarity (i.e. the extent to which a new feature is related and contributing to the main functionality of the product). Design/methodology/approach The role of feature fit is examined in two experimental studies (n=593) in the context of feature additions, and also for feature deletions. Findings The results showed that complementarity adds value to a product as an additional dimension of feature fit beyond congruence, complementarity matters more for a hedonic than for a utilitarian product, and complementarity can compensate for lack of congruence. Originality/value For a product developer, adding new features to a product offers an array of choices in terms of what feature(s) to include. Although having a large pool of potential features to choose from is attractive it can also prove problematic, as products may become overly complex and features do not fit well together. The results demonstrate the importance of both congruence and complementarity as predictors of feature fit when features are added to or deleted from products.
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Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 22, no. 3 (July 1997): 111–24. http://dx.doi.org/10.1177/0256090919970312.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 23, no. 3 (July 1998): 91–104. http://dx.doi.org/10.1177/0256090919980312.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 24, no. 1 (January 1999): 93–106. http://dx.doi.org/10.1177/0256090919990111.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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Dissertations / Theses on the topic "Feature management"

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Schroeter, Julia. "Feature-based configuration management of reconfigurable cloud applications." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-141415.

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A recent trend in software industry is to provide enterprise applications in the cloud that are accessible everywhere and on any device. As the market is highly competitive, customer orientation plays an important role. Companies therefore start providing applications as a service, which are directly configurable by customers in an online self-service portal. However, customer configurations are usually deployed in separated application instances. Thus, each instance is provisioned manually and must be maintained separately. Due to the induced redundancy in software and hardware components, resources are not optimally utilized. A multi-tenant aware application architecture eliminates redundancy, as a single application instance serves multiple customers renting the application. The combination of a configuration self-service portal with a multi-tenant aware application architecture allows serving customers just-in-time by automating the deployment process. Furthermore, self-service portals improve application scalability in terms of functionality, as customers can adapt application configurations on themselves according to their changing demands. However, the configurability of current multi-tenant aware applications is rather limited. Solutions implementing variability are mainly developed for a single business case and cannot be directly transferred to other application scenarios. The goal of this thesis is to provide a generic framework for handling application variability, automating configuration and reconfiguration processes essential for self-service portals, while exploiting the advantages of multi-tenancy. A promising solution to achieve this goal is the application of software product line methods. In software product line research, feature models are in wide use to express variability of software intense systems on an abstract level, as features are a common notion in software engineering and prominent in matching customer requirements against product functionality. This thesis introduces a framework for feature-based configuration management of reconfigurable cloud applications. The contribution is three-fold. First, a development strategy for flexible multi-tenant aware applications is proposed, capable of integrating customer configurations at application runtime. Second, a generic method for defining concern-specific configuration perspectives is contributed. Perspectives can be tailored for certain application scopes and facilitate the handling of numerous configuration options. Third, a novel method is proposed to model and automate structured configuration processes that adapt to varying stakeholders and reduce configuration redundancies. Therefore, configuration processes are modeled as workflows and adapted by applying rewrite rules triggered by stakeholder events. The applicability of the proposed concepts is evaluated in different case studies in the industrial and academic context. Summarizing, the introduced framework for feature-based configuration management is a foundation for automating configuration and reconfiguration processes of multi-tenant aware cloud applications, while enabling application scalability in terms of functionality.
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Lord, Dale. "Relational Database for Visual Data Management." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604893.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada
Often it is necessary to retrieve segments of video with certain characteristics, or features, from a large archive of footage. This paper discusses how image processing algorithms can be used to automatically create a relational database, which indexes the video archive. This feature extraction can be performed either upon acquisition or in post processing. The database can then be queried to quickly locate and recover video segments with certain specified key features
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Luo, Xi. "Feature-based Configuration Management of Applications in the Cloud." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-116674.

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The complex business applications are increasingly offered as services over the Internet, so-called software-as-a-Service (SaaS) applications. The SAP Netweaver Cloud offers an OSGI-based open platform, which enables multi-tenant SaaS applications to run in the cloud. A multi-tenant SaaS application is designed so that an application instance is used by several customers and their users. As different customers have different requirements for functionality and quality of the application, the application instance must be configurable. Therefore, it must be able to add new configurations into a multi-tenant SaaS application at run-time. In this thesis, we proposed concepts of a configuration management, which are used for managing and creating client configurations of cloud applications. The concepts are implemented in a tool that is based on Eclipse and extended feature models. In addition, we evaluate our concepts and the applicability of the developed solution in the SAP Netwaver Cloud by using a cloud application as a concrete case example.
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Duong, Hien D. "A Feature-Oriented Software Engineering Approach to Integrate ASSISTments with Learning Management Systems." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/862.

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"Object-Oriented Programming (OOP), in the past two decades, has become the most influential and dominant programming paradigm for developing large and complex software systems. With OOP, developers can rely on design patterns that are widely accepted as solutions for recurring problems and used to develop flexible, reusable and modular software. However, recent studies have shown that Objected-Oriented Abstractions are not able to modularize these pattern concerns and tend to lead to programs with poor modularity. Feature-Oriented Programming (FOP) is an extension of OOP that aims to improve the modularity and to support software variability in OOP by refining classes and methods. In this thesis, based upon the work of integrating an online tutor systems, ASSISTments, with other online learning management systems, we evaluate FOP with respect to modularity. This proof-of-concept effort demonstrates how to reduce the effort in designing integration code."
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Otepka, Johannes, Sajid Ghuffar, Christoph Waldhauser, Ronald Hochreiter, and Norbert Pfeifer. "Georeferenced Point Clouds: A Survey of Features and Point Cloud Management." MDPI AG, 2013. http://dx.doi.org/10.3390/ijgi2041038.

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This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed. This includes the data structures, but also spatial processing concepts. We suggest a categorization of features into levels that reflect the amount of processing. Point clouds are found across many disciplines, which is reflected in the versatility of the literature suggesting specific features. (authors' abstract)
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Mal-Sarkar, Sanchita. "Uncertainty Management of Intelligent Feature Selection in Wireless Sensor Networks." Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1268419387.

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Asghar, Muhammad Nabeel. "Feature based dynamic intra-video indexing." Thesis, University of Bedfordshire, 2014. http://hdl.handle.net/10547/338913.

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With the advent of digital imagery and its wide spread application in all vistas of life, it has become an important component in the world of communication. Video content ranging from broadcast news, sports, personal videos, surveillance, movies and entertainment and similar domains is increasing exponentially in quantity and it is becoming a challenge to retrieve content of interest from the corpora. This has led to an increased interest amongst the researchers to investigate concepts of video structure analysis, feature extraction, content annotation, tagging, video indexing, querying and retrieval to fulfil the requirements. However, most of the previous work is confined within specific domain and constrained by the quality, processing and storage capabilities. This thesis presents a novel framework agglomerating the established approaches from feature extraction to browsing in one system of content based video retrieval. The proposed framework significantly fills the gap identified while satisfying the imposed constraints of processing, storage, quality and retrieval times. The output entails a framework, methodology and prototype application to allow the user to efficiently and effectively retrieved content of interest such as age, gender and activity by specifying the relevant query. Experiments have shown plausible results with an average precision and recall of 0.91 and 0.92 respectively for face detection using Haar wavelets based approach. Precision of age ranges from 0.82 to 0.91 and recall from 0.78 to 0.84. The recognition of gender gives better precision with males (0.89) compared to females while recall gives a higher value with females (0.92). Activity of the subject has been detected using Hough transform and classified using Hiddell Markov Model. A comprehensive dataset to support similar studies has also been developed as part of the research process. A Graphical User Interface (GUI) providing a friendly and intuitive interface has been integrated into the developed system to facilitate the retrieval process. The comparison results of the intraclass correlation coefficient (ICC) shows that the performance of the system closely resembles with that of the human annotator. The performance has been optimised for time and error rate.
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Beard, Ashley J. Sleath Betsy. "Cost as a feature of medication management communication in medical visits." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,2047.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2008.
Title from electronic title page (viewed Feb. 17, 2009). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Division of Pharmaceutical Outcomes and Policy." Discipline: Pharmaceutical Outcomes and Policy; Department/School: Pharmacy.
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Oliinyk, Olesia. "Applying Hierarchical Feature Modeling in Automotive Industry." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3820.

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Context. Variability management (VM) in automotive domain is a promising solution to reduction of complexity. Feature modeling, as starting point of VM, deals with analysis and representation of available features in terms of commonalities and variabilities. The work is done in the context of an automotive industry – Adam Opel AG. Objectives. This work studies the automotive specific problems with respect to feature modeling, investigates what decomposition and structuring approaches exist in literature, and which one of them satisfies the industrial requirements. The approach to feature modeling is synthesized, evaluated and documented. Methods. In this work a case study with survey and literature review is performed. Survey uses semi structured interview and workshops as data collection methods. Systematic review includes articles from Compendex, Inspec, IEEE Xplore, ACM Digital Library, Science Direct and Engineering Village. Approach selection is based on mapping requirements against discovered approaches and discussion with industry practitioner on the regular meetings. Evaluation is proposed according to Goal Question Metric paradigm. Results. The approach that can be followed in the case organization is described and evaluated. The reasoning behind feature modeling approach construction and selection can be generalized for other organizations as well. Conclusions. We conclude that there is no perfect approach that would solve all the problems connected to automotive software. However, structuring approaches can be complementary and while combining give a good results. Tool support that integrates into the whole development cycle is important, as the amount of information cannot be processed using simple feature modeling tools. There is a need for further investigation in both directions – tool support and structuring approaches. The tactics that are proposed here should be introduced in organizations and formally evaluated.
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SAIBENE, AURORA. "A Flexible Pipeline for Electroencephalographic Signal Processing and Management." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/360550.

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L'elettroencefalogramma (EEG) fornisce registrazioni non-invasive delle attività e delle funzioni cerebrali sotto forma di serie temporali, a loro volta caratterizzate da una risoluzione temporale e spaziale (dipendente dai sensori), e da bande di frequenza specifiche per alcuni tipi di condizioni cerebrali. Tuttavia, i segnali EEG risultanti sono non-stazionari, cambiano nel tempo e sono eterogenei, essendo prodotti da differenti soggetti e venendo influenzati da specifici paradigmi sperimentali, condizioni ambientali e dispositivi. Inoltre, questi segnali sono facilmente soggetti a rumore e possono venire acquisiti per un tempo limitato, fornendo un numero ristretto di condizioni cerebrali sulle quali poter lavorare. Pertanto, in questa tesi viene proposta una pipeline flessibile per l'elaborazione e la gestione dei segnali EEG, affinchè possano essere più facilmente comprensibili e quindi più facilmente sfruttabili in diversi tipi di applicazioni. Inoltre, la pipeline flessibile proposta è divisa in quattro moduli riguardanti la pre-elaborazione del segnale, la sua normalizzazione, l'estrazione e la gestione di feature e la classificazione dei dati EEG. La pre-elaborazione del segnale EEG sfrutta la multivariate empirical mode decomposition (MEMD) per scomporre il segnale nelle sue modalità oscillatorie, chiamate intrinsic mode function (IMF), ed usa un criterio basato sull'entropia per selezionare le IMF più relevanti. Queste IMF dovrebbero mantenere le naturali dinamiche cerebrali e rimuovere componenti non-informative. Le risultati IMF rilevanti sono in seguito sfruttate per sostituire il segnale o aumentare la numerosità dei dati. Nonostante MEMD sia adatto alla non-stazionarietà del segnale EEG, ulteriori passi computazionali dovrebbero essere svolti per mitigare la caratteristica eterogeneità di questi dati. Pertanto, un passo di normalizzazione viene introdotto per ottenere dati comparabili per uno stesso soggetto o più soggetti e tra differenti condizioni sperimentali, quindi permettendo di estrarre feature nel dominio temporale, frequenziale e tempo-frequenziale per meglio caratterizzare il segnale EEG. Nonostante l'uso di un insieme di feature differenti fornisca la possibilità di trovare nuovi pattern nei dati, può altresì presentare alcune ridondanze ed incrementare il rischio di incorrere nella curse of dimensionality o nell'overfitting durante la classificazione. Pertanto, viene proposta una selezione delle feature basata sugli algoritmi evolutivi con un approccio completamente guidato dai dati. Inoltre, viene proposto l'utilizzo di modelli di apprendimento non o supervisionati e di nuovi criteri di stop per un algoritmo genetico modificato. Oltretutto, l'uso di diversi modelli di apprendimento automatico può influenzare il riconoscimento di differenti condizioni cerebrali. L'introduzione di modelli di deep learning potrebbe fornire una strategia in grado di apprendere informazioni direttamente dai dati disponibili, senza ulteriori elaborazioni. Fornendo una formulazione dell'input appropriata, le informazioni temporali, frequenziali e spaziali caratterizzanti i dati EEG potrebbero essere mantenute, evitando l'introduzione di architetture troppo complesse. Pertato, l'utilizzo di differenti processi ed approcci di elaborazione potrebbe fornire strategie più generiche o più legate a specifici esperimenti per gestire il segnale EEG, mantenendone le sue naturali caratteristiche.
The electroencephalogram (EEG) provides the non-invasive recording of brain activities and functions as time-series, characterized by a temporal and spatial (sensor-dependent) resolution, and by brain condition-bounded frequency bands. Moreover, it presents some cost-effective device solutions. However, the resulting EEG signals are non-stationary, time-varying, and heterogeneous, being recorded from different subjects and being influenced by specific experimental paradigms, environmental conditions, and devices. Moreover, they are easily affected by noise and they can be recorded for a limited time, thus they provide a restricted number of brain conditions to work with. Therefore, in this thesis a flexible pipeline for signal processing and management is proposed to have a better understanding of the EEG signals and exploit them for a variety of applications. Moreover, the proposed flexible pipeline is divided in 4 modules concerning signal pre-processing, normalization, feature computation and management, and EEG data classification. The EEG signal pre-processing exploits the multivariate empirical mode decomposition (MEMD) to decompose the signal in oscillatory modes, called intrinsic mode functions (IMFs), and uses an entropy criterion to select the most relevant IMFs that should maintain the natural brain dynamics, while discarding uninformative components. The resulting relevant IMFs are then exploited for signal substitution and data augmentation. Even though MEMD is adapt to the EEG signal non-stationarity, further processing steps should be undertaken to mitigate these data heterogeneity. Therefore, a normalization step is introduced to obtain comparable data inter- and intra-subject and between different experimental conditions, allowing the extraction of general features in the time, frequency, and time-frequency domain for EEG signal characterization. Even though the use of a variety of feature types may provide new data patterns, they may also present some redundancies and increase the risk of incurring in classification problems like curse of dimensionality and overfitting. Therefore, a feature selection based on evolutionary algorithms is proposed to have a completely data-driven approach, exploiting both supervised and unsupervised learning models, and suggesting new stopping criteria for a modified genetic algorithm implementation. Moreover, the use of different learning models may affect the discrimination of different brain conditions. The introduction of deep learning models may provide a strategy to learn directly from the available data. By suggesting a proper input formulation it could be possible to maintain the EEG data time, frequency, and spatial information, while avoiding too complex architectures. Therefore, using different processing steps and approaches may provide general or experimental specific strategies to manage the EEG signal, while maintaining its natural characteristics.
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Books on the topic "Feature management"

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Ley, Michael. Ein Datenbankkern zur Speicherung variabel strukturierter Feature-Terme: Implementierungstechniken. Sank[t] Augustin: Infix, 1993.

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Huan, Liu. Feature selection for knowledge discovery and data mining. Boston: Kluwer Academic Publishers, 1998.

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Liu, Huan. Feature selection for knowledge discovery and data mining. Boston: Kluwer Academic, 1998.

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1958-, Liu Huan, and Motoda Hiroshi, eds. Feature extraction, construction and selection: A data mining perspective. Boston: Kluwer Academic, 1998.

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Liu, Huan. Feature Extraction, Construction and Selection: A Data Mining Perspective. Boston, MA: Springer US, 1998.

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Jensen, Richard. Computational intelligence and feature selection: Rough and fuzzy approaches. Oxford: Wiley, 2008.

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American Water Works Association. Illinois Section. Illinois Section AWWA, Illinois EPA and Illinois Rural Water Assoc. presents double feature seminars coming soon to a location near you. Springfield, Ill.]: [Illinois Environmental Protection Agency], 1993.

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Inc, ebrary, ed. Kentico CMS 5 website development: Beginner's guide : building professional and feature-rich websites with Kentico CMS 5. Birmingham [U.K.]: Packt Pub., 2010.

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Inc, ebrary, ed. JBoss portal server development: Create dynamic, feature-rich, and robust enterprise portal applications. Birmingham, U.K: Packt Pub., 2009.

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Second lives: Becoming a freelance writer. New York: St. Martin's Griffin, 1999.

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Book chapters on the topic "Feature management"

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Jiang, Ning, Jialiang Tang, Wenxin Yu, and Jinjia Zhou. "Local Feature Normalization." In Knowledge Science, Engineering and Management, 228–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82147-0_19.

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Wu, ShuangXin, and Ji Kang Jia. "Feature Extraction Based on Improved Feature Weighting Algorithm." In Recent Trends in Decision Science and Management, 703–8. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3588-8_81.

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Chouaib, Hassan, Florence Cloppet, and Nicole Vincent. "Combination of Single Feature Classifiers for Fast Feature Selection." In Advances in Knowledge Discovery and Management, 113–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02999-3_7.

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Niu, Gang. "Statistic Feature Extraction." In Data-Driven Technology for Engineering Systems Health Management, 101–38. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2032-2_5.

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Niu, Gang. "Feature Selection Optimization." In Data-Driven Technology for Engineering Systems Health Management, 139–71. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2032-2_6.

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Du, Liang, and Yi-Dong Shen. "Joint Clustering and Feature Selection." In Web-Age Information Management, 241–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38562-9_25.

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Chang, Edward Y. "Perceptual Feature Extraction." In Foundations of Large-Scale Multimedia Information Management and Retrieval, 13–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20429-6_2.

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Hinkka, Markku, Teemu Lehto, Keijo Heljanko, and Alexander Jung. "Structural Feature Selection for Event Logs." In Business Process Management Workshops, 20–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74030-0_2.

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Christy, A., and G. Meera Gandhi. "Feature Selection and Clustering of Documents Using Random Feature Set Generation Technique." In Advances in Data Science and Management, 67–79. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0978-0_6.

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Zhang, David, and Jane You. "Biometrics Feature Retrieval Using Palmprint Images." In Multimedia Information Retrieval and Management, 385–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05300-3_18.

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Conference papers on the topic "Feature management"

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Khor, Kok-Chin, Choo-Yee Ting, and Somnuk-Phon Amnuaisuk. "Forming an optimal feature set for classifying network intrusions involving multiple feature selection methods." In Knowledge Management (CAMP). IEEE, 2010. http://dx.doi.org/10.1109/infrkm.2010.5466923.

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Vieira, Ana Sofia. "Consistency Management in Feature-Based Parametric Design." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0237.

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Abstract One of the main problems to be solved in design-by-features is to preserve the semantic correctness of feature-based models. Currently, feature-based parametric design (FbPD) is being used as one of the most powerful approaches for solving this problem. In this paper, a fundamental principle of this approach is introduced. Three aspects stated, are: FbPD deals with functional design primitives, it solves the automatic generation of model variations, and it offers the basis for the development of a mechanism to check the semantic correctness of feature-based models. Several concepts for the definition of semantic constraints are presented. They instigate the classification of semantic constraints in four different categories, based on the constraint evaluation-time, purpose, behaviour, and representation. Sinfonia, a system for feature-based parametric design, is presented as a testbed environment for design-by-features applications. One of its modules, the Consistency Handler, uses the constraint concepts introduced in order to preserve the semantic consistency of the models. Several examples illustrate the different types of constraints. In addition, an algorithm applied for the process of a consistent feature modification is presented.
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Ovtcharova, Jivka, and Uwe Jasnoch. "Towards a Consistency Management in a Feature-Based Design." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/cie1993-0016.

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Abstract It is a common goal in the development of feature-based design systems to support users with extended facilities, such as comprehensive semantically correct feature-based models, conformability of tools to user requirements and to different applications, and communication via standardized interfaces. However, the current state of the art in feature-based design does not meet the most of these requirements, particularly the integration of design, reliability and maintainability of constraints. This paper presents recent research on design by features using the constraint satisfaction approach. We determine the basic requirements for defining and administering constraints in feature-based models and propose an architecture for consistency management in feature-based design systems. The two main modules of interest are Feature Frame and Consistency Manager. The Feature Frame intends to enclose different feature data into one information set, called Feature Resources and to create and manipulate such resources using Feature Mechanisms. The Consistency Manager provides functionality for definition, evaluation and satisfaction of constraints in feature-based models. Furthermore, in this paper the relation between feature-based design, consistency management and object-oriented paradigm is clarified. In contrast to previous publications where features and constraints are associated with objects in a programming language sense, our starting point is the ontological view to the object concept. We advocate that features and constraints are not objects themselves, but attributes and laws assigned by us to objects to describe properties of them. Thus, feature-based design can be characterized as the art of defining and manipulating properties of design objects.
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Arman, Farshid, Arding Hsu, and Ming-Yee Chiu. "Feature management for large video databases." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Carlton W. Niblack. SPIE, 1993. http://dx.doi.org/10.1117/12.143638.

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Karmaker Santu, Shubhra Kanti, Parikshit Sondhi, and ChengXiang Zhai. "Generative Feature Language Models for Mining Implicit Features from Customer Reviews." In CIKM'16: ACM Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2983323.2983729.

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Zhao, Yunxue, Long Zhang, and Shijie Zheng. "Chinese Accent Detection Using Acoustic Feature Sets with Context Features." In International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/lemcs-14.2014.228.

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Pan, Feng, Qiwe Gu, and Ben Niu. "A Regularization Framework for Feature Selection." In 2011 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2011. http://dx.doi.org/10.1109/iciii.2011.224.

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Chen, Yuling. "Visual secret sharing scheme based on image feature extraction." In International Conference on Information Management and Management Engineering. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/imme140281.

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Zhang, Jie, Xiang Lin Huang, and Hui Lv. "Character Retrieval Based on the Improved Contour Feature and Texture Feature." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5300831.

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Mu, Zhendong. "ERP Feature of Vigilance." In 2015 International Conference on Education, Management, Information and Medicine. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/emim-15.2015.264.

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Reports on the topic "Feature management"

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Kramer, Mitchell. Campaign Management Feature Comparison Matrix. Boston, MA: Patricia Seybold Group, April 2003. http://dx.doi.org/10.1571/cm4-24-03cc.

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Bock, Geoffrey. Content Management Feature Comparison Matrix. Boston, MA: Patricia Seybold Group, April 2004. http://dx.doi.org/10.1571/cm4-8-04cc.

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Bock, Geoffrey. Content Management Feature Comparison Matrix. Boston, MA: Patricia Seybold Group, May 2003. http://dx.doi.org/10.1571/cm5-15-03cc.

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Bożek, Małgorzata. FILM PRODUCTION IN POLAND. STAGES: FROM AN IDEA TO THE SCREEN. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11112.

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The Polish film system is characterized by a variety of forms. Michał Zabłocki, the author of the comprehensive study of the «Organization of the production of feature film in Poland», isolates two models of world cinema: a producer and a producer – director. The first one features the dominant role of the producer, which means the person who is responsible for the work of all the film departments – direction, cinematography, production management, scenography and costume design. The second one, the model which is still the most popular in Poland, assumes close cooperation between the producer and the director.
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature and Content Layer, intended to contain image visual features such as contours, shapes,etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature and Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation, and they are well suited for the design, verification and complexity analysis of algorithms. As the amount of information contained in the previous layers may be huge and operations performed at the Feature and Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. The algorithm we propose is sound and complete and relatively efficient.
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature and Content Layer, intended to contain image visual features such as contours, shapes,etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature and Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation, and they are well suited for the design, verification and complexity analysis of algorithms. As the amount of information contained in the previous layers may be huge and operations performed at the Feature and Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. The algorithm we propose is sound and complete and relatively efficient.
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Renaud, Alexander, Michael Forte, Nicholas Spore, Brittany Bruder, Katherine Brodie, Jessamin Straub, and Jeffrey Ruby. Evaluation of Unmanned Aircraft Systems for flood risk management : results of terrain and structure assessments. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45000.

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The 2017 Duck Unmanned Aircraft Systems (UAS) Pilot Experiment was conducted by the US Army Engineer Research and Development Center (ERDC), Coastal and Hydraulics Laboratory, Field Research Facility (FRF), to assess the potential for different UAS to support US Army Corps of Engineers coastal and flood risk management. By involving participants from multiple ERDC laboratories, federal agencies, academia, and private industry, the work unit leads were able to leverage assets, resources, and expertise to assess data from multiple UAS. This report compares datasets from several UAS to assess their potential to survey and observe coastal terrain and structures. In this report, UAS data product accuracy was analyzed within the context of three potential applications: (1) general coastal terrain survey accuracy across the FRF property; (2) small-scale feature detection and observation within the experiment infrastructure area; and (3) accuracy for surveying coastal foredunes. The report concludes by presenting tradeoffs between UAS accuracy and the cost to operate to aid in selection of the best UAS for a particular task. While the technology and exact UAS models vary through time, the lessons learned from this study illustrate that UAS are available at a variety of costs to satisfy varying coastal management data needs.
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Sopein-Mann, Oluwafunmike, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Medicines Regulation in West Africa: Current State and Opportu-nities. Purdue University, December 2021. http://dx.doi.org/10.5703/1288284317443.

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Ndomondo-Sigonda et al. (2017) observed that there is scarcity of information on human resources (person-nel devoted to regulation of medicines) in the domain of medicines regulation in the sub-Saharan Africa (SSA). The published information on medicines regulation by the National Medicines Regulatory Authorities (NMRAs) in the Economic Community of West African States (ECOWAS) region are no longer current and consistent with the current realities in the NMRAs. In order to reveal this occurrence, show the trends that exist over the years and make appropriate recommendations, data were collected and compared from 2005, 2010 and 2017 research reports on seven regulatory features of the fifteen Members States of ECOWAS. The re-sults show that there was missing information per regulatory feature and country. There was also an overall increasing trend in the number of NMRAs in the region that showed progress with respect to the measured regulatory features - Autonomy (Authority and Legal form), Marketing Authorization), GMP inspection, Quality Control, Quality Management System, Information Management System and Harmonization and International cooperation. People of Africa have a valuable story to tell as it relates to medicines regulation. This report is written by a West African from the perspective of a West African involved in the study and practice of medi-cines regulation by the NMRAs in the ECOWAS.
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Tsur, Yacov, David Zilberman, Uri Shani, Amos Zemel, and David Sunding. Dynamic intraseasonal irrigation management under water scarcity, water quality, irrigation technology and environmental constraints. United States Department of Agriculture, March 2007. http://dx.doi.org/10.32747/2007.7696507.bard.

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In this project we studied optimal use and adoption of sophisticated irrigation technologies. The stated objectives in the original proposal were to develop a conceptual framework for analyzing intra-season timing of water application rates with implications for crop and irrigation technology selection. We proposed to base the analysis on an intra-seasonal, dynamic, agro-economic model of plants' water demand, paying special attention to contamination of groundwater and soil in intensively cultivated areas that increasingly rely on water of lesser quality. The framework developed in the project integrates (i) a bio-physical model of water flow in the vadose zone and water uptake by plants and yield response with (ii) a dynamic management model to determine the optimal intra-season irrigation policy. It consists of a dynamic optimization model to determine irrigation rates at each point of time during the growing season and aggregation relating harvested yield with accumulated water input. The detailed dynamic approach provides a description of yield production processes at the plant’s level, and serves to determine intra-season irrigation decisions. Data derived from extensive field experiments were used to calibrate the model's parameters. We use the framework to establish the substitution between irrigation technology (capital) and water inputs; this is an important property of irrigation water productivity that has been overlooked in the literature. Another important feature investigated is the possibility to substitute fresh and saline water with a minimal productivity loss. The effects of soil properties and crop characteristics on optimal technology adoption have also been studied. We find that sandy soil, with low water holding capacity, is more conducive to adoption of sophisticated drip irrigation, as compared to heavier soils in which drainage losses are significantly smaller.
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Shinde, Victor, G. Asok Kumar, Dheeraj Joshi, and Nikita Madan. Healthy Urban Rivers as a Panacea to Pandemic-Related Stress: How to Manage Urban Rivers. Asian Development Bank Institute, December 2022. http://dx.doi.org/10.56506/vyqu8666.

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During the lockdown imposed due to the first wave of the coronavirus disease (COVID-19) pandemic, there were several media reports of citizens flouting the lockdown rules in the United States. Upon closer investigation it was found that the rules were flouted mostly so that people could spend time outdoors in natural environments. This exemplifies the role of the natural environment as a panacea to the mental stress created by pandemics. River ecosystems are perhaps the greatest natural feature of any city. Efficient management of urban rivers, therefore, is strongly correlated to crisis management during pandemics like COVID-19.
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