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Auswahl der wissenschaftlichen Literatur zum Thema „Non-intrusive approach“
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Zeitschriftenartikel zum Thema "Non-intrusive approach"
Panunzio, A. M., Loic Salles und C. W. Schwingshackl. „Uncertainty propagation for nonlinear vibrations: A non-intrusive approach“. Journal of Sound and Vibration 389 (Februar 2017): 309–25. http://dx.doi.org/10.1016/j.jsv.2016.09.020.
Der volle Inhalt der QuelleYin, Jianwei, Xinkui Zhao, Yan Tang, Chen Zhi, Zuoning Chen und Zhaohui Wu. „CloudScout: A Non-Intrusive Approach to Service Dependency Discovery“. IEEE Transactions on Parallel and Distributed Systems 28, Nr. 5 (01.05.2017): 1271–84. http://dx.doi.org/10.1109/tpds.2016.2619715.
Der volle Inhalt der QuelleBerveiller, Marc, Bruno Sudret und Maurice Lemaire. „Stochastic finite element: a non intrusive approach by regression“. European Journal of Computational Mechanics 15, Nr. 1-3 (Januar 2006): 81–92. http://dx.doi.org/10.3166/remn.15.81-92.
Der volle Inhalt der QuelleHuang, Dongli, Jeongwon Seo, Salma Magdi, Alya Badawi und Hany Abdel-Khalik. „Non-intrusive stochastic approach for nuclear cross-sections adjustment“. Annals of Nuclear Energy 155 (Juni 2021): 108162. http://dx.doi.org/10.1016/j.anucene.2021.108162.
Der volle Inhalt der QuelleLu, Mengqi, und Zuyi Li. „A Hybrid Event Detection Approach for Non-Intrusive Load Monitoring“. IEEE Transactions on Smart Grid 11, Nr. 1 (Januar 2020): 528–40. http://dx.doi.org/10.1109/tsg.2019.2924862.
Der volle Inhalt der QuelleCao, Gang, Yao Zhao und Rongrong Ni. „Forensic identification of resampling operators: A semi non-intrusive approach“. Forensic Science International 216, Nr. 1-3 (März 2012): 29–36. http://dx.doi.org/10.1016/j.forsciint.2011.08.012.
Der volle Inhalt der QuelleWahlsten, Markus, und Jan Nordström. „On Stochastic Investigation of Flow Problems Using the Viscous Burgers’ Equation as an Example“. Journal of Scientific Computing 81, Nr. 2 (23.09.2019): 1111–17. http://dx.doi.org/10.1007/s10915-019-01053-7.
Der volle Inhalt der QuelleAbade, Bruno, David Perez Abreu und Marilia Curado. „A Non-Intrusive Approach for Indoor Occupancy Detection in Smart Environments“. Sensors 18, Nr. 11 (15.11.2018): 3953. http://dx.doi.org/10.3390/s18113953.
Der volle Inhalt der QuelleBuddhahai, Bundit, Waranyu Wongseree und Pattana Rakkwamsuk. „A non-intrusive load monitoring system using multi-label classification approach“. Sustainable Cities and Society 39 (Mai 2018): 621–30. http://dx.doi.org/10.1016/j.scs.2018.02.002.
Der volle Inhalt der QuelleLiaskos, Christos, Xenofontas Dimitropoulos und Leandros Tassiulas. „Backpressure on the Backbone: A Lightweight, Non-Intrusive Traffic Engineering Approach“. IEEE Transactions on Network and Service Management 14, Nr. 1 (März 2017): 176–90. http://dx.doi.org/10.1109/tnsm.2016.2631477.
Der volle Inhalt der QuelleDissertationen zum Thema "Non-intrusive approach"
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.
Der volle Inhalt der QuelleFILHO, 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.
Der volle Inhalt der QuelleCONSELHO 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.
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.
Der volle Inhalt der QuelleLOYOLA, 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.
Der volle Inhalt der QuelleCOORDENAÇÃO 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.
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.
Der volle Inhalt der QuelleAladesanmi, 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.
Der volle Inhalt der QuelleElectrical 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.
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.
Der volle Inhalt der QuelleOne 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
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/.
Der volle Inhalt der QuelleKorduner, Lars, und 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.
Der volle Inhalt der QuelleHuman 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%.
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.
Der volle Inhalt der QuelleA 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
Bücher zum Thema "Non-intrusive approach"
Bonfigli, Roberto, und 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.
Der volle Inhalt der QuelleFolino, Anthony. The errorless classroom: A success-focused, non-intrusive approach to intervention for severe behaviour. 2006.
Den vollen Inhalt der Quelle findenBonfigli, Roberto, und Stefano Squartini. Machine Learning Approaches to Non-Intrusive Load Monitoring. Springer, 2019.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Non-intrusive approach"
Bonfigli, Roberto, und 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.
Der volle Inhalt der QuelleBonfigli, Roberto, und 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.
Der volle Inhalt der QuelleMarti, P., A. Rizzo, L. Petroni, G. Tozzi und 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.
Der volle Inhalt der QuelleGupta, Rajiv, und 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.
Der volle Inhalt der QuelleSchirmer, Pascal A., und 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.
Der volle Inhalt der QuelleGomes, Marco, John Zeleznikow und 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.
Der volle Inhalt der QuelleVasconcelos, Michel, Nabor C. Mendonça und 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.
Der volle Inhalt der QuelleRen, Shangping, Nianen Chen, Yue Yu, Pierre Poirot, Kevin Kwiat und 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.
Der volle Inhalt der QuelleYadav, Piyush, Kejul Kalyani und 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.
Der volle Inhalt der QuelleLastovetsky, Alexey, Xin Zuo und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Non-intrusive approach"
Chen, Hao, und 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.
Der volle Inhalt der QuelleTavares, Hugo, Bruno Prado, Kalil Bispo und 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.
Der volle Inhalt der QuelleSinanoglu, Ozgur, und 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.
Der volle Inhalt der QuelleVerma, Kriti, Mehak Beakta, Pragati Srivastava und 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.
Der volle Inhalt der QuelleSwaminathan, Ashwin, Min Wu und 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.
Der volle Inhalt der QuelleSorensen, Charlotte, Mathew S. Kavalekalam, Angeliki Xenaki, Jesper B. Boldt und 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.
Der volle Inhalt der QuelleSikander, Gulbadan, Shahzad Anwar und 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.
Der volle Inhalt der QuelleXu, L. Q., D. Machin und 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.
Der volle Inhalt der QuellePetkov, Petko N., Iman S. Mossavat und 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.
Der volle Inhalt der QuelleEaswaran, Vasant, Virendra Bansal, Greg Shurtz, Rahul Gulati, Mihir Mody, Prashant Karandikar und 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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