Relevant bibliographies by topics / Non-intrusive approach

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  2. Dissertations / Theses
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Academic literature on the topic 'Non-intrusive approach'

Author: Grafiati
Published: 24 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Non-intrusive approach"

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Panunzio, A. M., Loic Salles, and C. W. Schwingshackl. "Uncertainty propagation for nonlinear vibrations: A non-intrusive approach." Journal of Sound and Vibration 389 (February 2017): 309–25. http://dx.doi.org/10.1016/j.jsv.2016.09.020.

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Yin, Jianwei, Xinkui Zhao, Yan Tang, Chen Zhi, Zuoning Chen, and Zhaohui Wu. "CloudScout: A Non-Intrusive Approach to Service Dependency Discovery." IEEE Transactions on Parallel and Distributed Systems 28, no. 5 (May 1, 2017): 1271–84. http://dx.doi.org/10.1109/tpds.2016.2619715.

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Berveiller, Marc, Bruno Sudret, and Maurice Lemaire. "Stochastic finite element: a non intrusive approach by regression." European Journal of Computational Mechanics 15, no. 1-3 (January 2006): 81–92. http://dx.doi.org/10.3166/remn.15.81-92.

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Huang, Dongli, Jeongwon Seo, Salma Magdi, Alya Badawi, and Hany Abdel-Khalik. "Non-intrusive stochastic approach for nuclear cross-sections adjustment." Annals of Nuclear Energy 155 (June 2021): 108162. http://dx.doi.org/10.1016/j.anucene.2021.108162.

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Lu, Mengqi, and Zuyi Li. "A Hybrid Event Detection Approach for Non-Intrusive Load Monitoring." IEEE Transactions on Smart Grid 11, no. 1 (January 2020): 528–40. http://dx.doi.org/10.1109/tsg.2019.2924862.

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Cao, Gang, Yao Zhao, and Rongrong Ni. "Forensic identification of resampling operators: A semi non-intrusive approach." Forensic Science International 216, no. 1-3 (March 2012): 29–36. http://dx.doi.org/10.1016/j.forsciint.2011.08.012.

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Wahlsten, Markus, and Jan Nordström. "On Stochastic Investigation of Flow Problems Using the Viscous Burgers’ Equation as an Example." Journal of Scientific Computing 81, no. 2 (September 23, 2019): 1111–17. http://dx.doi.org/10.1007/s10915-019-01053-7.

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Abstract We consider a stochastic analysis of non-linear viscous fluid flow problems with smooth and sharp gradients in stochastic space. As a representative example we consider the viscous Burgers’ equation and compare two typical intrusive and non-intrusive uncertainty quantification methods. The specific intrusive approach uses a combination of polynomial chaos and stochastic Galerkin projection. The specific non-intrusive method uses numerical integration by combining quadrature rules and the probability density functions of the prescribed uncertainties. The two methods are compared in terms of error in the estimated variance, computational efficiency and accuracy. This comparison, although not general, provide insight into uncertainty quantification of problems with a combination of sharp and smooth variations in stochastic space. It suggests that combining intrusive and non-intrusive methods could be advantageous.
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Abade, Bruno, David Perez Abreu, and Marilia Curado. "A Non-Intrusive Approach for Indoor Occupancy Detection in Smart Environments." Sensors 18, no. 11 (November 15, 2018): 3953. http://dx.doi.org/10.3390/s18113953.

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Smart Environments try to adapt their conditions focusing on the detection, localisation, and identification of people to improve their comfort. It is common to use different sensors, actuators, and analytic techniques in this kind of environments to process data from the surroundings and actuate accordingly. In this research, a solution to improve the user’s experience in Smart Environments based on information obtained from indoor areas, following a non-intrusive approach, is proposed. We used Machine Learning techniques to determine occupants and estimate the number of persons in a specific indoor space. The solution proposed was tested in a real scenario using a prototype system, integrated by nodes and sensors, specifically designed and developed to gather the environmental data of interest. The results obtained demonstrate that with the developed system it is possible to obtain, process, and store environmental information. Additionally, the analysis performed over the gathered data using Machine Learning and pattern recognition mechanisms shows that it is possible to determine the occupancy of indoor environments.
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Buddhahai, Bundit, Waranyu Wongseree, and Pattana Rakkwamsuk. "A non-intrusive load monitoring system using multi-label classification approach." Sustainable Cities and Society 39 (May 2018): 621–30. http://dx.doi.org/10.1016/j.scs.2018.02.002.

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Liaskos, Christos, Xenofontas Dimitropoulos, and Leandros Tassiulas. "Backpressure on the Backbone: A Lightweight, Non-Intrusive Traffic Engineering Approach." IEEE Transactions on Network and Service Management 14, no. 1 (March 2017): 176–90. http://dx.doi.org/10.1109/tnsm.2016.2631477.

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Dissertations / Theses on the topic "Non-intrusive approach"

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Varma, Sumit. "A non-intrusive approach to information management." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq22413.pdf.

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FILHO, JOSÉ MARIA DA SILVA MONTEIRO. "A NON-INTRUSIVE APPROACH FOR AUTOMATED PHYSICAL DESIGN TUNING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12965@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
O projeto físico de bancos de dados cumpre um papel primordial para assegurar um desempenho adequado. Atualmente, existe uma grande quantidade de trabalhos e ferramentas na área de seleção automática do projeto físico. Tais ferramentas, contudo, adotam uma abordagem offline na solução do problema e transferem para o DBA, dentre outras tarefas, a decisão de executar ou não as recomendações sugeridas. Todavia, em ambientes dinâmicos, com consultas ad-hoc, torna-se bastante complexo identificar configurações de projeto físico que sejam adequadas. Recentemente, algumas iniciativas apresentaram descrições de protótipos que implementam funcionalidades de sintonia automática. Estes trabalhos, porém, adotam uma abordagem intrusiva e funcionam apenas com um SGBD específico. Neste trabalho, propõe-se uma abordagem não-intrusiva para a manutenção automática e on-the-fly do projeto físico de bancos de dados. A abordagem proposta é completamente desacoplada do código do SGBD, pode ser utilizada com qualquer SGBD e executada sem intervenção humana. A estratégia adotada baseia-se em heurísticas que executam continuamente e, sempre que necessário, modificam o projeto físico corrente, reagindo a alterações na carga de trabalho. Para comprovar a viabilidade das idéias apresentadas, a abordagem proposta foi instanciada para solucionar dois importantes problemas relacionados ao projeto físico: a manutenção automática de índices e de clusters alternativos de dados.
The physical design of a database plays a critical role in performance. There has been considerable work on automated physical design tuning for database systems. Existing solutions require offline invocations of the tuning tool and depend on DBAs identifying representative workloads manually. However, in dynamic environments involving various ad-hoc queries it is difficult to identify potentially useful physical design in advance. Recently, a few initiatives present brief descriptions of prototypes that address some aspects of online physical tuning. Nevertheless, these references work in an intrusive manner and work only with a specific DBMS. In this work, we propose a non intrusive approach to automated and on-the-fly physical design problems, in order to speed up processing of subsequent queries. Specifically, we design algorithms that are always-on and continuously modify the current physical design, reacting to changes in the query workload. To prove the viability of the presented ideas, the proposed approach was instantiated to solve two major problems related to the database physical design: indexing and alternative data clusters automatic maintenance.
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Desai, Ushesh K. "A non-intrusive approach to secure the Border Gateway Protocol." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1447668.

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LOYOLA, NILTON ALEJANDRO CUELLAR. "ROBUST TOPOLOGY OPTIMIZATION USING A NON-INTRUSIVE STOCHASTIC SPECTRAL APPROACH." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=36063@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Este trabalho apresenta aplicações de métodos espectrais estocásticos para otimização topológica de estruturas na presença de incertezas. Esse procedimento, conhecido como otimização topológica robusta, minimiza uma combinação entre a média e o desvio padrão da função objetivo. Para tanto, uma expansão de caos polinomial não intrusiva é integrada a um algoritmo de otimização topológica para se calcular os dois primeiros momentos estatísticos da resposta do modelo mecânico. A fim de abordar as variabilidades na resposta estrutural, as incertezas são consideradas no carregamento e nas propriedades do material. Na formulação probabilística proposta, as incertezas são representadas como um conjunto de variáveis aleatórias (por exemplo, magnitudes e direções das cargas) ou como campos aleatórios (por exemplo, cargas distribuídas e propriedades do material). Um campo aleatório homogêneo não Gaussiano com uma função de distribuição marginal e covariância especificada é usado para representar as incertezas nas propriedades dos materiais, pois garante a sua admissibilidade física. A transformação não-linear sem memória de um campo Gaussiano homogêneo é usada para obter campos não Gaussianos. A expansão de Karhunen-Loève é empregada para fornecer uma representação do campo Gaussiano em termos de um número finito de variáveis aleatórias independentes. A quadratura de grade esparsa é empregada para reduzir o custo computacional no cálculo dos coeficientes da expansão do caos polinomial. Além disso, é mostrada uma previsão eficiente (isto é, com um baixo custo computacional) da resposta estrutural sob incertezas. A precisão e a aplicabilidade da metodologia proposta são demonstradas por meio de vários exemplos de otimização topológica de estruturas contínuas 2D. Os resultados obtidos estão em excelente concordância com as soluções obtidas pelo método de Monte Carlo. Finalmente, conclusões são apresentadas e possíveis extensões deste trabalho são propostas.
This work presents some applications of stochastic spectral methods for structural topology optimization in the presence of uncertainties. This procedure, known as robust topology optimization, minimizes a combination of the mean and standard deviation of the objective function. For this purpose, a non-intrusive polynomial chaos expansion is integrated into a topology optimization algorithm to calculate the first two statistical moments of the mechanical model response. In order to address variabilities in the structural response, the uncertainties are considered in the loading and the material properties. In this proposed probabilistic formulation, uncertainties are represented as a set of random variables (e.g., magnitudes and directions of the loads) or as random fields (e.g., distributed loads and material properties). A non-Gaussian homogenous random field with a specified marginal distribution and covariance function is used to represent the material uncertainties because it ensures their physical admissibility. Nonlinearm memoryless transformation of a homogeneous Gaussian field is used for obtaining non-Gaussian fields. The Karhunen-Loève expansion is employed to provide a representation of the Gaussian field in terms of countable uncorrelated random variables. The sparse grid quadrature is considered for reducing the computational cost when computing the coefficients of the polynomial chaos expansion. Moreover, an efficient prediction (i.e., with a low computational cost) of the structural response under uncertainties is presented. Accuracy and applicability of the proposed methodology are demonstrated by means of several topology optimization examples of 2D continuum structures. The obtained results are in excellent agreement with the solutions obtained using the Monte Carlo method. Finally, conclusions are inferred and possible extensions of this work are proposed.
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Cannermo, Trine P. W. "Non-Intrusive Methods for Documentating Upholstery : five ways to approach an intriguing conundrum." Thesis, Linköpings universitet, Carl Malmsten - furniture studies, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113566.

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During my internship at the Upholstery conservation department at the Metropolitan Museum of art in New York, I came across a chair that caught my interest and therefore I chose to dedicate the last two months of my internship, investigating this chair. It was said about the chair that it had the original upholstery and cover, but some questions appeared. These questions I have tried to solve, as I will reveal in the following, by using mostly non-intrusive methods, in attempt to see how much useful information this approach can provide, concerning frame structure, inner-upholstery, showcover and possible campaigns (interventions). I found out, that it was possible to gather a great amount of useful information. In fact I will go so far as to claim that I found out even more than I would have found out, by  isassembling the object manually.
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Aladesanmi, Ereola Johnson. "Non intrusive load monitoring & identification for energy management system using computational intelligence approach." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/13561.

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Includes bibliography.
Electrical energy is the life line to every nation’s or continent development and economic progress. Referable to the recent growth in the demand for electricity and shortage in production, it is indispensable to develop strategies for effective energy management and system delivery. Load monitoring such as intrusive load monitoring, non-intrusive load monitoring, and identification of domestic electrical appliances is proposed especially at the residential level since it is the major energy consumer. The intrusive load monitoring provides accurate results and would allow each individual appliance's energy consumption to be transmitted to a central hub. Nevertheless, there are many practical disadvantages to this method that have motivated the introduction of non-intrusive load monitoring system. The fiscal cost of manufacturing and installing enough monitoring devices to match the number of domestic appliances is considered to be a disadvantage. In addition, the installation of one meter per household appliances would lead to congestion in the house and thus cause inconvenience to the occupants of the house, therefore, non-intrusive load monitoring technique was developed to alleviate the aforementioned challenges of intrusive load monitoring. Non-intrusive load monitoring (NILM) is the process of disaggregating a household’s total energy consumption into its contributing appliances. The total household load is monitored via a single monitoring device such as smart meter (SM). NILM provides cost effective and convenient means of load monitoring and identification. Several nonintrusive load monitoring and identification techniques are reviewed. However, the literature lacks a comprehensive system that can identify appliances with small energy consumption, appliances with overlapping energy consumption and a group of appliance ranges at once. This has been the major setback to most of the adopted techniques. In this dissertation, we propose techniques that overcome these setbacks by combining artificial neural networks (ANN) with a developed algorithm to identify appliances ranges that contribute to the energy consumption within a given period of time usually an hour interval.
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Wangermez, Maxence. "Méthode de couplage surfacique pour modèles non-compatibles de matériaux hétérogènes : approche micro-macro et implémentation non-intrusive." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASN001.

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Un des objectifs prioritaires des industries aéronautiques est la réduction de la masse des structures, tout en permettant l'amélioration de leurs performances. Ceci passe notamment par l'utilisation de matériaux composites et le recours croissant à la simulation numérique, permettant la minimisation du nombre d'essais physiques et l'optimisation des structures.L'enjeu de ces travaux est de pouvoir calculer précisément, sur des matériaux architecturés, l'influence de la microstructure, modélisée par exemple directement par tomographie, sur la tenue de pièces complètes. Pour prendre en compte à la fois l'ensemble de la pièce et les effets de son chargement, une approche global/local multiéchelle semble adaptée tant du point de vue des méthodes de calcul que des modèles matériaux utilisés.Pour répondre à cette problématique, une méthode de couplage entre des modèles qui décrivent une même structure, mais à des échelles différentes, a été développée. Elle repose sur une séparation micro-macro des quantités d’interface, dans la zone de raccord surfacique entre les deux modèles. Pour faciliter son utilisation dans les bureaux d’étude, une technique de résolution itérative non-intrusive est également présentée. Elle permet de mettre en œuvre la méthode de couplage proposée dans un environnement logiciel industriel qui utilise bien souvent des codes éléments finis commerciaux fermés. La méthode est systématiquement comparée à d'autres méthodes de couplage de la littérature et la qualité des solutions est quantifiée par comparaison à une solution de référence obtenue par un calcul direct à l'échelle fine.Les principaux résultats sont encourageants dans la mesure où ils montrent, dans des cas d'étude représentatifs bidimensionnels et tridimensionnels, sous des hypothèses d’élasticité linéaire, des solutions cohérentes avec les théories de l’homogénéisation au premier et second ordre. De fait, les solutions obtenues sont systématiquement de meilleure qualité avec la méthode proposée qu'avec les méthodes de la littérature, non-adaptées à des cas de couplage pour modèles non-compatibles.Finalement, les perspectives sont multiples en raison des différentes alternatives de la méthode qui, dans un contexte industriel, pourrait offrir un véritable outil d'analyse visant à introduire un modèle local décrit à l'échelle fine dans un modèle global macroscopique homogénéisé
One of the priority objectives of the aeronautics industry is to reduce the mass of structures while improving their performances. This involves the use of composite materials and the increasing use of digital simulation to optimize structures.The major challenge of this project is to be able to accurately calculate the local variations of the microstructure - for instance detected by tomography and directly modelled from tomogram - on the behavior of an architectured material part. In order to take into account the whole structure and its load effects, a multi-scale approach seems to be a natural choice. Indeed, the related models to the part and its microstructure might use different formalisms according to each scale.In this context, a coupling formulation was proposed in order to replace, in a non-intrusive way, a part of a homogenized macroscopic finite-element model by a local one described at a microscopic level. It is based on a micro-macro separation of interface quantities in the coupling area between the two models. To simplify its use in design offices, a non-intrusive iterative resolution procedure has also been proposed. It allows the implementation of the proposed coupling method in an industrial software environment that often uses closed commercial finite element codes. Different mechanical problems under linear elasticity assumption are proposed. The proposed method is systematically compared with other coupling methods of the literature and the quality of the solutions is quantified compared to a reference one obtained by direct numerical simulation at a fine scale.The main results are promising as they show, for representatives test cases under linear elasticity assumption in two and three-dimensions, solutions that are consistent with first- and second-order homogenization theories. The solutions obtained with the proposed method are systematically the best approximations of the reference solution whereas the methods of the literature are less accurate and shown to be unsuitable to couple non-compatible models.Finally, there are many perspectives due to the different alternatives of the method which could become, in an industrial context, a real analytic tool that aims to introduce a local model described at a fine scale, into a homogenized macroscopic global one
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Allayiotis, Elias. "Characterization of Mobile Web Quality of Experience using a non-intrusive, context-aware, mobile-to-cloud system approach." Thesis, University of Central Lancashire, 2017. http://clok.uclan.ac.uk/20734/.

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This study presents a modelling approach for quantifying the Mobile Web Quality of Experience (MWQoE). It builds on current QoE and Web QoE research, and by fusing together data that is available on modern mobile devices, constructs a novel MWQoE model that is user-centered, context-aware and non-intrusive (does not depend on user feedback). This study identifies the factors which affect Web QoE and measures their effect on it in mobile scenarios. Moreover, this study explores scenarios in which Web QoE can be effectively characterized and enhanced, delivering a novel Mobile-to-Cloud system for the continuous evaluation of MWQoE in real-world environments. The significance of defining and evaluating MWQoE is identified. Specifically, MWQoE can be used by online providers to uncover customer insights and illustrate how the experience in using their products is perceived by their customers. In fact, MWQoE can be considered an important key performance indicator showing the technology acceptance or satisfiability of customers for a specific web product or service.
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Korduner, Lars, and Mattias Sundquist. "Determining an optimal approach for human occupancy recognition in a study room using non-intrusive sensors and machine learning." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20632.

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Mänskligt igenkännande med användning av sensorer och maskininlärning är ett fält med många praktiska tillämpningar. Det finns några kommersiella produkter som på ett tillförlitligt sätt kan känna igen människor med hjälp av videokameror. Dock ger videokameror ofta en oro för inkräktning i privatlivet, men genom att läsa det relaterade arbetet kan man hävda att i vissa situationer är en videokamera inte nödvändigtvis mer tillförlitlig än billiga, icke-inkräktande sensorer. Att känna igen antalet människor i ett litet studie / kontorsrum är en sådan situation. Även om det har gjorts många framgångsrika studier för igenkänning av människor med olika sensorer och maskininlärningsalgoritmer, kvarstår en fråga om vilken kombination av sensorer och maskininlärningsalgoritmer som är allmänt bättre. Denna avhandling utgår från att testa fem lovande sensorer i kombination med sex olika maskininlärningsalgoritmer för att bestämma vilken kombination som överträffade resten. För att uppnå detta byggdes en arduino prototyp för att samla in och spara läsningarna från alla fem sensorer i en textfil varje sekund. Arduinon, tillsammans med sensorerna, placerades i ett litet studierum på Malmö universitet för att samla data vid två separata tillfällen medan studenterna använde rummet som vanligt. Den insamlade datan användes sedan för att träna och utvärdera fem maskininlärningsklassificerare för var och en av de möjliga kombinationerna av sensorer och maskininlärningsalgoritmer, för både igenkänningsdetektering och igenkänningsantal. I slutet av experimentet konstaterades det att alla algoritmer kunde uppnå en precision på minst 90% med vanligtvis mer än en kombination av sensorer. Den högsta träffsäkerheten som uppnåddes var 97%.
Human recognition with the use of sensors and machine learning is a field with many practical applications. There exists some commercial products that can reliably recognise humans with the use of video cameras. Video cameras often raises a concern about privacy though, by reading the related work one could argue that in some situations a video camera is not necessarily more reliable than low-cost, non-intrusive, ambient sensors. Human occupancy recognition in a small sized study/office room is one such situation. While there has been a lot of successful studies done on human occupancy recognition with various sensors and machine learning algorithms, a question about which combination of sensors and machine learning algorithms is more viable still remains. This thesis sets out to test five promising sensors in combination with six different machine learning algorithms to determine which combination outperformed the rest. To achieve this, an arduino prototype was built to collect and save the readings from all five sensors into a text file every second. The arduino, along with the sensors, was placed in a small study room at Malmö University to collect data on two separate occasions whilst students used the room as they would usually do. The collected data was then used to train and evaluate five machine learning classifier for each of the possible combinations of sensors and machine learning algorithms, for both occupancy detection and occupancy count. At the end of the experiment it was found that all algorithms could achieve an accuracy of at least 90% with usually more than one combination of sensors. The highest hit-rate achieved was 97%.
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Nunez, Ramirez Jorge. "A multi time-step partitioned approach for the coupling of SPH and FE methods for nonlinear FSI problems." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI040/document.

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Dans le cadre de ce travail, une technique non-intrusive est proposée pour coupler la méthode Smoothed Particle Hydrodynamics (SPH) à la méthode des Eléments Finis afin de résoudre numériquement des problèmes dynamiques et non-linéaires d’interaction fluide-structure en permettant l’utilisation des pas de temps différents dans les deux domaines de calcul (fluide et solide). Ces développements sont motivés par le besoin de simuler numériquement des phénomènes rapides et très non-linéaires qui prennent en compte des impacts en se servant des intégrateurs temporels explicites dans chaque sous-domaine de calcul (Newmark explicite pour le solide et Runge-Kutta 2 pour le fluide). De ce fait, le pas de temps de stabilité est limité par des caractéristiques intrinsèques au modèle numérique du phénomène étudié et en conséquence, il devient important de pouvoir intégrer chaque sous-domaine numérique avec un pas de temps proche de son pas de temps de stabilité. Pour permettre d’utiliser un pas de temps proche du pas de temps de stabilité pour chaque sous-domaine, des méthodes de décomposition de domaines dual-Schur sont implémentées et validées pour des cas en 1-D, 2-D, et 3-D. Des simulations numériques d’impacts de cailloux sur des aubes des turbines hydrauliques sont aussi effectue´es afin de prédire le dommage que cet évènement peut engendrer
A method to couple smoothed particle hydrodynamics and finite elements methods for nonlinear transient fluid–structure interaction simulations by adopting different time-steps depending on the fluid or solid sub-domains is proposed. These developments were motivated by the need to simulate highly non-linear and sudden phenomena that take into acount solid impacts and hence require the use of explicit time integrators on both sub-domains (explicit Newmark for the solid and Runge–Kutta 2 for the fluid). However, due to critical time-step required for the stability of the explicit time integrators in, it becomes important to be able to integrate each sub-domain with a different time-step while respecting the features that a previously developed mono time-step coupling algorithm offered. For this matter, a dual-Schur decomposition method originally proposed for structural dynamics was considered, allowing to couple time integrators of the Newmark family with different time-steps with the use of Lagrange multipliers
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Books on the topic "Non-intrusive approach"

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Bonfigli, Roberto, and Stefano Squartini. Machine Learning Approaches to Non-Intrusive Load Monitoring. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30782-0.

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Folino, Anthony. The errorless classroom: A success-focused, non-intrusive approach to intervention for severe behaviour. 2006.

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Bonfigli, Roberto, and Stefano Squartini. Machine Learning Approaches to Non-Intrusive Load Monitoring. Springer, 2019.

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Book chapters on the topic "Non-intrusive approach"

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Bonfigli, Roberto, and Stefano Squartini. "HMM Based Approach." In Machine Learning Approaches to Non-Intrusive Load Monitoring, 31–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30782-0_4.

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Bonfigli, Roberto, and Stefano Squartini. "DNN Based Approach." In Machine Learning Approaches to Non-Intrusive Load Monitoring, 91–119. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30782-0_5.

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Marti, P., A. Rizzo, L. Petroni, G. Tozzi, and M. Diligenti. "Adapting the museum: a non-intrusive user modeling approach." In CISM International Centre for Mechanical Sciences, 311–13. Vienna: Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-2490-1_34.

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Gupta, Rajiv, and Madalene Spezialetti. "Towards a non-intrusive approach for monitoring distributed computations through perturbation analysis." In Languages and Compilers for Parallel Computing, 586–601. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57659-2_33.

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Schirmer, Pascal A., and Iosif Mporas. "Binary versus Multiclass Deep Learning Modelling in Energy Disaggregation." In Springer Proceedings in Energy, 45–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_6.

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Abstract:
AbstractThis paper compares two different deep-learning architectures for the use in energy disaggregation and Non-Intrusive Load Monitoring. Non-Intrusive Load Monitoring breaks down the aggregated energy consumption into individual appliance consumptions, thus detecting device operation. In detail, the “One versus All” approach, where one deep neural network per appliance is trained, and the “Multi-Output” approach, where the number of output nodes is equal to the number of appliances, are compared to each other. Evaluation is done on a state-of-the-art baseline system using standard performance measures and a set of publicly available datasets out of the REDD database.
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Gomes, Marco, John Zeleznikow, and Paulo Novais. "A Non-intrusive Approach to Measuring Trust in Opponents in a Negotiation Scenario." In Lecture Notes in Computer Science, 528–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00178-0_36.

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Vasconcelos, Michel, Nabor C. Mendonça, and Paulo Henrique M. Maia. "Cloud Detours: A Non-intrusive Approach for Automatic Software Adaptation to the Cloud." In Service Oriented and Cloud Computing, 181–95. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24072-5_13.

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Ren, Shangping, Nianen Chen, Yue Yu, Pierre Poirot, Kevin Kwiat, and Jeffrey J. P. Tsai. "A Non-Intrusive Approach to Enhance Legacy Embedded Control Systems with Cyber Protection Features." In Machine Learning in Cyber Trust, 155–81. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-88735-7_7.

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Yadav, Piyush, Kejul Kalyani, and Ravi Mahamuni. "User Intention Mining: A Non-intrusive Approach to Track User Activities for Web Application." In Advances in Swarm and Computational Intelligence, 147–54. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20469-7_17.

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Lastovetsky, Alexey, Xin Zuo, and Peng Zhao. "A Non-intrusive and Incremental Approach to Enabling Direct Communications in RPC-Based Grid Programming Systems." In Computational Science – ICCS 2006, 1008–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758532_137.

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Conference papers on the topic "Non-intrusive approach"

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Chen, Hao, and James P. Black. "A Quantitative Approach to Non-Intrusive Computing." In 5th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. ICST, 2008. http://dx.doi.org/10.4108/icst.mobiquitous2008.3473.

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Tavares, Hugo, Bruno Prado, Kalil Bispo, and Daniel Dantas. "A Non-intrusive Approach for Smart Power Meter." In 2018 IEEE 16th International Conference on Industrial Informatics (INDIN). IEEE, 2018. http://dx.doi.org/10.1109/indin.2018.8471960.

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Sinanoglu, Ozgur, and Tsvetomir Petrov. "A Non-Intrusive Isolation Approach for Soft Cores." In Design, Automation & Test in Europe Conference. IEEE, 2007. http://dx.doi.org/10.1109/date.2007.364562.

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Verma, Kriti, Mehak Beakta, Pragati Srivastava, and Nafis Uddin Khan. "A Non-intrusive Approach for Driver's Drowsiness Detection." In 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2020. http://dx.doi.org/10.1109/pdgc50313.2020.9315326.

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Swaminathan, Ashwin, Min Wu, and K. Ray Liu. "Component Forensics of Digital Cameras: A Non-Intrusive Approach." In 2006 40th Annual Conference on Information Sciences and Systems. IEEE, 2006. http://dx.doi.org/10.1109/ciss.2006.286646.

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Sorensen, Charlotte, Mathew S. Kavalekalam, Angeliki Xenaki, Jesper B. Boldt, and Mads G. Christensen. "Non-intrusive intelligibility prediction using a codebook-based approach." In 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, 2017. http://dx.doi.org/10.23919/eusipco.2017.8081200.

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Sikander, Gulbadan, Shahzad Anwar, and Muhammad Tahir Khan. "Non intrusive selective facial feature tracking: A fuzzy control approach." In 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE). IEEE, 2018. http://dx.doi.org/10.1109/iceee2.2018.8391369.

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Xu, L. Q., D. Machin, and P. Sheppard. "A Novel Approach to Real-time Non-intrusive Gaze Finding." In British Machine Vision Conference 1998. British Machine Vision Association, 1998. http://dx.doi.org/10.5244/c.12.43.

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Petkov, Petko N., Iman S. Mossavat, and W. Bastiaan Kleijn. "A Bayesian approach to non-intrusive quality assessment of speech." In Interspeech 2009. ISCA: ISCA, 2009. http://dx.doi.org/10.21437/interspeech.2009-43.

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Easwaran, Vasant, Virendra Bansal, Greg Shurtz, Rahul Gulati, Mihir Mody, Prashant Karandikar, and Prithvi Shankar. "A unique non-intrusive approach to non-ATE Based cul-de-sac SoC debug." In 2014 27th IEEE International System-on-Chip Conference (SOCC). IEEE, 2014. http://dx.doi.org/10.1109/socc.2014.6948950.

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