Academic literature on the topic 'Component robustness'
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Journal articles on the topic "Component robustness"
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Blanchard, A., and Y. Zolnierowski. "Dark Energy: Nature and Robustness." International Astronomical Union Colloquium 192 (2005): 573–78. http://dx.doi.org/10.1017/s0252921100009684.
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SummarySupernovae have provided the evidence for the existence of a dominant dark energy component of the Universe. The commonly accepted form of such a component is the quintessence. Here, we show that the possible nature of this component is rather well constrained by combining the various existing observational cosmological data. However, relaxing some of the various hypothesis can lead to somewhat different results.
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Wang, Wenshan, Qixin Cao, Xiaoxiao Zhu, and Masaru Adachi. "An automatic switching approach of robotic components for improving robot localization reliability in complicated environment." Industrial Robot: An International Journal 41, no. 2 (March 11, 2014): 135–44. http://dx.doi.org/10.1108/ir-04-2013-338.
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Purpose – Robot localization technology has been widely studied for decades and a lot of remarkable approaches have been developed. However, in practice, this technology has hardly been applied to common day-to-day deployment scenarios. The purpose of this paper is to present a novel approach that focuses on improving the localization robustness in complicated environment. Design/methodology/approach – The localization robustness is improved by dynamically switching the localization components (such as the environmental camera, the laser range finder and the depth camera). As the components are highly heterogeneous, they are developed under the robotic technology component (RTC) framework. This simplifies the developing process by increasing the potential for reusability and future expansion. To realize this switching, the localization reliability for each component is modeled, and a configuration method for dynamically selecting dependable components at run-time is presented. Findings – The experimental results show that this approach significantly decreases robot lost situation in the complicated environment. The robustness is further enhanced through the cooperation of heterogeneous localization components. Originality/value – A multi-component automatic switching approach for robot localization system is developed and described in this paper. The reliability of this system is proved to be a substantial improvement over single-component localization techniques.
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Herrendörfer, G., A. Tuchscherer, G. Dietl, and M. Tuchscherer. "Die Robustheit von BLUP und EBLUP." Archives Animal Breeding 42, no. 3 (October 10, 1999): 303–18. http://dx.doi.org/10.5194/aab-42-303-1999.
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Abstract. Title of the paper: The Robustness of BLUP and EBLUP The expectations of BLP and BLUP used as estimator for fixed effects and as predictor for random effects were investigated concerning the property "unbiasedness". Different aspects of robustness research on prediction procedures are discussed. The robustness of BLUP and EBLUP was investigated with respect to the distribution ofthe random components of the model, the degree of balancedness of the experimental design, influence of the variance components ratio and different variance component estimators used in EBLUP(2) on the bases of a Computer Simulation in the random one-way model. Criteria used for the evaluation were the mean squared error (MSE) and the selection gain. Besides, an idea of the overestimation of the accuracy of EBLUP by the naive MSE approximation based on the MSE formulas of BLUP with variance component estimations instead of unknown parameters is given.
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Devitt, S. J., A. G. Fowler, and L. C. L. Hollenberg. "Robustness of Shor's algorithm." Quantum Information and Computation 6, no. 7 (November 2006): 616–29. http://dx.doi.org/10.26421/qic6.7-5.
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Shor's factorisation algorithm is a combination of classical pre- and post-processing and a quantum period finding (QPF) subroutine which allows an exponential speed up over classical factoring algorithms. We consider the stability of this subroutine when exposed to a discrete error model that acts to perturb the computational trajectory of a quantum computer. Through detailed state vector simulations of an appropriate quantum circuit, we show that the error locations within the circuit itself heavily influences the probability of success of the QPF subroutine. The results also indicate that the naive estimate of required component precision is too conservative.
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Sjödahl, Mikael, and Erik Olsson. "Robustness of Laser Speckles as Unique Traceable Markers of Metal Components." Digital 1, no. 1 (February 18, 2021): 54–63. http://dx.doi.org/10.3390/digital1010004.
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The traceability of manufactured components is growing in importance with the greater use of digital service solutions offered and with an increased digitalization of manufacturing logistics. In this paper, we investigate the use of image-plane laser speckles as a tool to acquire a unique code from the surface of the component and the ability to use this pattern as a secure component-specific digital fingerprint. Intensity correlation is used as a numerical identifier. Metal sheets of different materials and steel pipes are considered. It is found that laser speckles are robust against surface alterations caused by surface compression and scratching and that the correct pattern reappears from a surface contaminated by oil after cleaning. In this investigation, the detectability is close to 100% for all surfaces considered, with zero false positives. The exception is a heavily oxidized surface wiped by a cotton cloth between recordings. It is further found that the main source for lost detectability is caused by misalignment between the registration and detection geometries where a positive match is lost by a change in angle in the order of 60 mrad. Therefore, as long as the registration and detection systems, respectively, use the same optical arrangement, laser speckles have the ability to serve as unique component identifiers without having to add extra markings or a dedicated sensor to the component.
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Hien, Thai Duy, Zensho Nakao, and Yen-Wei Chen. "Intelligent Logo Watermarking Based on Independent Component Analysis." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 4 (July 20, 2004): 390–96. http://dx.doi.org/10.20965/jaciii.2004.p0390.
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We present new intelligent logo watermarking based on independent component analysis (ICA) in which a binary logo watermark is embedded in a host image in a wavelet domain. To improve robustness, an image adaptive watermarking algorithm is applied by a stochastic approach based on a noise visibility function (NVF). The algorithm design, evaluation, and experimentation are described. Experimental results show that the logo watermark is perfectly extracted by ICA with excellent invisibility and with robustness against various image and digital processing operators and almost all compression algorithms such as Jpeg, jpeg 2000, SPIHT, EZW, and principal component analysis (PCA) based compression.
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Chakrabarty, Nilanjana, and Dibyojyoti Bhattacharjee. "Assessing Robustness of Asian Countries Ranking." International Journal of Innovation in the Digital Economy 7, no. 1 (January 2016): 24–37. http://dx.doi.org/10.4018/ijide.2016010103.
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The term ‘digital divide' refers to the gap between individuals, households, businesses and geographic areas with regard to both their opportunities to access Information and Communication Technologies (ICT) and to their use of Internet. Composite indicators are regularly used for measuring the divide and in benchmarking the country's performance. But often it creates controversies regarding the subjectivity that is connected with their construction methodology more specifically the weighting and aggregation issues. The paper attempts to assess the robustness of the ranks generated by the composite digital divide index using different weighting and aggregation schemes in case of Asian countries. Here four weighting techniques Iyengar-Sudarshan Method, Benefit of Doubt Method, Principal Component Analysis and Unobserved Component Model and three techniques of aggregation viz. Linear Aggregation, Geometric Aggregation and Weighted Displaced Ideal Method are used for mutual comparison.
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Illarramendi, M., L. Etxeberria, X. Elkorobarrutia, and G. Sagardui. "Runtime Contracts Checker: Increasing Robustness of Component-Based Software Systems." IOP Conference Series: Materials Science and Engineering 575 (August 13, 2019): 012006. http://dx.doi.org/10.1088/1757-899x/575/1/012006.
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Dong, Shangjia, Haizhong Wang, Ali Mostafavi, and Jianxi Gao. "Robust component: a robustness measure that incorporates access to critical facilities under disruptions." Journal of The Royal Society Interface 16, no. 157 (August 2019): 20190149. http://dx.doi.org/10.1098/rsif.2019.0149.
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The objective of this paper is to integrate the post-disaster network access to critical facilities into the network robustness assessment, considering the geographical exposure of infrastructure to natural hazards. Conventional percolation modelling that uses generating function to measure network robustness fails to characterize spatial networks due to the degree correlation. In addition, the giant component alone is not sufficient to represent the performance of transportation networks in the post-disaster setting, especially in terms of the access to critical facilities (i.e. emergency services). Furthermore, the failure probability of various links in the face of different hazards needs to be encapsulated in simulation. To bridge this gap, this paper proposed the metric robust component and a probabilistic link-removal strategy to assess network robustness through a percolation-based simulation framework. A case study has been conducted on the Portland Metro road network during an M9.0 earthquake scenario. The results revealed how the number of critical facilities severely impacts network robustness. Besides, earthquake-induced failures led to a two-phase percolation transition in robustness performance. The proposed robust component metric and simulation scheme can be generalized into a wide range of scenarios, thus enabling engineers to pinpoint the impact of disastrous disruption on network robustness. This research can also be generalized to identify critical facilities and sites for future development.
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Novacek, Jan, Alexander Viehl, Oliver Bringmann, and Wolfgang Rosenstiel. "Reasoning-Supported Robustness Validation of Automotive E/E Components." International Journal of Semantic Computing 11, no. 04 (December 2017): 473–96. http://dx.doi.org/10.1142/s1793351x17400190.
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This article presents an ontology-supported approach to tackle the complexity of the Robustness Validation (RV) process of automotive electrical/electronic (E/E) components. The approach uses formalized knowledge from the RV process and stress, operating, and load profiles, so-called Mission Profiles (MPs). In contrast to the error-prone industrially established manual procedure, we show how component characteristics are formalized in OWL in order to form the foundation of an efficient automated analysis selection and decision support during the RV process. Additionally, a rule-based transformation of component characteristics upon propagation via SWRL is described. The proposed approach is based on the idea of mapping MPs to an OWL representation in order to allow to execute semantic queries against MP data to improve their integration into the RV process. The resulting ontology-supported application framework has been applied to an industrial use-case from automotive power electronics. A generalization of the approach is described and demonstrated by applying it to stress test selection within the AEC Q100 standard. We present experimental results showing that the RV process can be significantly improved in terms of reduced design time and increased exhaustiveness by automating the analyses selection step and the provisioning of all the relevant data to be used.
Dissertations / Theses on the topic "Component robustness"
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Chen, Lu. "Robustness in fire of steel framed structures with realistic connections." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/robustness-in-fire-of-steel-framed-structures-with-realistic-connections(fcf4d94b-56f4-42bc-b20a-e2e497d4c14a).html.
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Joints are the most critical elements in a steel framed structure. In most design guides or codes, the joints are assumed to a have higher fire resistance than the connected structural members because of the lower temperatures in the joints. However, in severe fire conditions, a connected beam's temperature may be higher than its limiting temperature and the beam may develop catenary action when the beam’s axial shortening from large deflections becomes greater than the beam’s thermal expansion. This beam catenary action force could fracture the joints, increasing the risk of progressive collapse. This research focuses on the interaction between joints and the connected steel beams and columns in steel framed structures in fire, including how the behaviour of a joint-beam assembly may be efficiently analyzed and how the joints may be constructed to achieve high degrees of catenary action. Three methods of simulating the joint behaviour in fire have been developed and implemented in the commercial finite element software ABAQUS. In the first modelling method, all structural members, including the connections, were simulated using detailed solid elements to enable detailed behaviour of the structure to be faithfully represented. In the second method, the columns were represented by conventional line (beam) elements, the joints were represented using springs (Connector Elements) based on the component based method, and the beam was modelled using solid elements. In the third method, the joints were modelled using springs as in the second method and the beam and columns were simulated using line (beam) elements. As expected, the detailed simulation method was extremely time-consuming, but was able to produce detailed and accurate results. The simulation results from the second and third methods contained some inaccuracies, but depending on the simulation objective, their simulation results may be acceptable. In particular, the third simulation method was very efficient, suitable for simulating complete frame structures under very large deflections in fire. The first method (detailed finite element method) was then used to investigate how to change the joint details to increase the survivability of restrained steel beams and beam-column assemblies at high temperatures since it enables detailed behaviour of the structure to be faithfully represented. It is found that by improving joint deformation capacity, in particular, using extended endplate connection with fire resistant bolts, very high temperatures can be resisted. The frame robustness in fire was investigated using the third simulation method to save computation time. The simulation structure was three-bay by three-floor and different scenarios of fire location, fire spread and initial structural damage were considered. The simulation results show that once failure of a column occurs, progressive collapse of the structure could be easily triggered and it would be rather futile to only enhance the joint capacity. Therefore, in addition to the measures of improving joint capacities (both rotation and strength), design of the affected columns should include consideration of the additional catenary forces from the connected beams and the increased effective lengths. Furthermore, the lateral bracing system should be ensured to provide the structure with lateral restraint.
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Kolankeh, Arash Kermani, Michael Teichmann, and Fred H. Hamker. "Competition improves robustness against loss of information." Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-166057.
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A substantial number of works have aimed at modeling the receptive field properties of the primary visual cortex (V1). Their evaluation criterion is usually the similarity of the model response properties to the recorded responses from biological organisms. However, as several algorithms were able to demonstrate some degree of similarity to biological data based on the existing criteria, we focus on the robustness against loss of information in the form of occlusions as an additional constraint for better understanding the algorithmic level of early vision in the brain. We try to investigate the influence of competition mechanisms on the robustness. Therefore, we compared four methods employing different competition mechanisms, namely, independent component analysis, non-negative matrix factorization with sparseness constraint, predictive coding/biased competition, and a Hebbian neural network with lateral inhibitory connections. Each of those methods is known to be capable of developing receptive fields comparable to those of V1 simple-cells. Since measuring the robustness of methods having simple-cell like receptive fields against occlusion is difficult, we measure the robustness using the classification accuracy on the MNIST hand written digit dataset. For this we trained all methods on the training set of the MNIST hand written digits dataset and tested them on a MNIST test set with different levels of occlusions. We observe that methods which employ competitive mechanisms have higher robustness against loss of information. Also the kind of the competition mechanisms plays an important role in robustness. Global feedback inhibition as employed in predictive coding/biased competition has an advantage compared to local lateral inhibition learned by an anti-Hebb rule.
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Hissanaga, Hugo Mamoru Aoki. "Previsão da curva de juros com análise de componentes principais utilizando matriz de covariâcia de longo prazo." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/96/96131/tde-27102017-102841/.
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Apesar da Análise de Componentes Principais (PCA) ser um dos métodos mais importantes na análise da estrutura a termo de taxa de juros, há fortes indícios de não ser adequada para estimar fatores da curva de juros quando há presença de dependência temporal e erros de medida. Para corrigir esses problemas é indicado utilizar a matriz de covariância de longo prazo, extraindo a correta estrutura de covariância presente nestes processos. Neste trabalho, mostramos que realizar a previsão fora da amostra da curva de taxa de juros com o método de Análise de Componentes Principais (PCA) utilizando como base a matriz de covarância de longo prazo (LRCM) parece ser mais acurada comparada a PCA com base na matriz de covariância amostral.Although Principal Component Analysis (PCA) is one of the most common methods to estimate the structure of interest rate volatility, there are strong indications that it is not adequate to estimate interest rate factors when there is temporal dependence and measurement errors. To correct these problems it is necessary to use the longterm covariance matrix, to extract the correct covariance structure present in these processes. In this work, we show that performing the out-of-sample forecasting of the interest rate curve with the Principal Component Analysis (PCA) method based on the long-term covariance matrix (LRCM) seems to be more accurate compared to PCA based on sample covariance matrix.
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Devamitta, Perera Muditha Virangika. "Robustness of normal theory inference when random effects are not normally distributed." Kansas State University, 2011. http://hdl.handle.net/2097/8786.
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Master of ScienceDepartment of Statistics
Paul I. Nelson
The variance of a response in a one-way random effects model can be expressed as the sum of the variability among and within treatment levels. Conventional methods of statistical analysis for these models are based on the assumption of normality of both sources of variation. Since this assumption is not always satisfied and can be difficult to check, it is important to explore the performance of normal based inference when normality does not hold. This report uses simulation to explore and assess the robustness of the F-test for the presence of an among treatment variance component and the normal theory confidence interval for the intra-class correlation coefficient under several non-normal distributions. It was found that the power function of the F-test is robust for moderately heavy-tailed random error distributions. But, for very heavy tailed random error distributions, power is relatively low, even for a large number of treatments. Coverage rates of the confidence interval for the intra-class correlation coefficient are far from nominal for very heavy tailed, non-normal random effect distributions.
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Meng, Li. "Robust estimation of the number of components for mixtures of linear regression." Kansas State University, 2014. http://hdl.handle.net/2097/17856.
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Master of ScienceDepartment of Statistics
Weixin Yao
In this report, we investigate a robust estimation of the number of components in the mixture of regression models using trimmed information criterion. Compared to the traditional information criterion, the trimmed criterion is robust and not sensitive to outliers. The superiority of the trimmed methods in comparison with the traditional information criterion methods is illustrated through a simulation study. A real data application is also used to illustrate the effectiveness of the trimmed model selection methods.
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Loguercio, Salvatore. "Reductionist and Integrative approaches to explore the H.pylori genome." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3425099.
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The reductionist approach of decomposing biological systems into their constituent parts has dominated molecular biology for half a century. Since organisms are composed solely of atoms and molecules without the participation of extraneous forces, it has been assumed that it should be possible to explain biological systems on the basis of the physico-chemical properties of their individual components, down to the atomic level. However, despite the remarkable success of methodological reductionism in analyzing individual cellular components, it is now generally accepted that the behavior of complex biological systems cannot be understood by studying their individual parts in isolation. To tackle the complexity inherent in understanding large networks of interacting biomolecules, the integrative viewpoint emphasizes cybernetic and systems theoretical methods, using a combination of mathematics, computation and empirical observation. Such an approach is beginning to become feasible in prokaryotes, combining an almost complete view of the genome and transcriptome with a reasonably extensive picture of the proteome.
Pathogenic bacteria are undoubtedly the most investigated subjects among prokaryotes. A paradigmatic example is the the human pathogen H.pylori, a causative agent of severe gastroduodenal disorders that infects almost half of the world population.
In this thesis, we investigated various aspects of Helicobacter pylori molecular physiology using both reductionist and integrative approaches.
In Section I, we have employed a reductionist, bottom-up perspective in studying the Cysteine oxidised/reduced state and the disulphide bridge pattern of an unusual GroES homolog expressed by H.pylori, Heat Shock protein A (HspA). This protein possesses a high Cys content, is involved in nickel binding and exhibits an extended subcellular localization, ranging from cytoplasm to cell surface. We have produced and characterized a recombinant HspA and mutants Cys94Ala and C94A/C111A. The disulphide bridge pattern has been assigned by integrating biochemical methodologies with mass spectrometry. All Cys are engaged in disulphide bonds that force the C-term domain to assume a peculiar closed loop structure, prone to host nickel ions. This novel Ni binding structural arrangement can be related to the Ni uptake/delivery to the extracellular urease, essential for the bacterium survival.
In Section II, we combined different computational methods with two main goals:
1) Analyze the H.pylori biomolecular interaction network in an attempt to select new molecular targets against H.pylori infection (Chapters 4 & 5);
2) Model and simulate the signaling perturbations induced by invading H.pylori proteins in the host ephitelial cells (Chapter 6).
Chapter 4 explores the 'robust yet fragile' feature of the H.pylori cell, viewed as a complex system in which robustness in response to certain perturbation is inevitably associated with fragility in response to other perturbations. With this in mind, we developed a general strategy aimed at identify control points in bacterial metabolic networks, which could be targets for novel drugs. The methodology is implemented on Helicobacter pylori 26695.
The entire metabolic network of the pathogen is analyzed to find biochemically critical points, e.g. enzymes which uniquely consume and/or produce a certain metabolite. Once identified, the list of critical enzymes is filtered in order to find candidate targets wich are non-homologous with the human enzymes. Finally, the essentiality of the identified targets is cross-validated by in silico deletion studies using flux-balance analysis (FBA) on a recent genome-scale metabolic model of H. pylori. Following this approach, we identified some enzymes which could be interesting targets for inhibition studies of H.pylori infection.
The study reported in Chapter 5 extends the previously described approach in light of recent theoretical studies on biological networks. These studies suggested that multiple weak attacks on selected targets are inevitably more efficient than the knockout of a single target, thus providing a conceptual framework for the recent success of multi-target drugs. We used this concept to exploit H.pylori metabolic robustness through multiple weak attacks on selected enzymes, therefore directing us toward target-sets discovery for combinatorial therapies.
We used the known metabolic and protein interaction data to build an integrated biomolecular network of the pathogen. The network was subsequently screened to find central elements of network communication, e.g. hubs, bridges with high betweenness centrality and overlaps of network communities. The selected enzymes were then classified on the basis of available data about cellular function and essentiality in an attempt to predict successful target-combinations. In order to evaluate the network effect triggered by the partial inactivation of candidate targets, robustness analysis was performed on small groups of selected enzymes using flux balance analysis (FBA) on a recent genome-scale metabolic model of H.pylori. In particular, the FBA simulation framework allowed to predict the growth phenotype associated to every partial inactivation set.
The preliminary results obtained so far may help to restrict the initial target-pool in search of target-sets for novel combinatorial drugs against H.pylori persistence. However, our long-term goal is to better understand the indirect network effects that lie at the heart of multi-target drug action and, ultimately, how multiple weak hits can perturb complex biological systems.
H.pylori produces various a cytotoxic protein, CagA, that interfere with a very important host signaling pathway, i.e. the epidermal growth factor receptor (EGFR) signaling network. EGFR signaling is one of the most extensively studied areas of signal transduction, since it regulates growth, survival, proliferation and differentiation in mammalian cells. In Chapter 6, we attempted to build an executable model of the EGFR-signaling core process using a process algebra approach. In the EGFR network, the core process is the heart of its underlying hour-glass architecture, as it plays a central role in downstream signaling cascades to gene expression through activation of multiple transcription factors. It consists in a dense array of molecules and interactions wich are tightly coupled to each other.
In order to build the executable model, a small set of EGFR core molecules and their interactions is tentatively translated in a BetaWB model. BetaWB is a framework for modelling and simulating biological processes based on Beta-binders language and its stochastic extension.
Once obtained, the computational model of the EGFR core process can be used to test and compare hypotheses regarding the principles of operation of the signaling network, i.e. how the EGFR network generates different responses for each set of combinatorial stimuli. In particular, probabilistic model checking can be used to explore the states and possible state changes of the computational model, whereas stochastic simulation (corresponding to the execution of the BetaWB model) may give quantitative insights into the dynamic behaviour of the system in response to different stimuli. Information from the above tecniques allows model validation through comparison within the experimental data available in the literature.
The inherent compositionality of the process algebra modeling approach enables further expansion of the EGFR core model, as well as the study of its behavior under specific perturbations, such as invading H.pylori proteins. This latter aspect might be of great value for H.pylori pathogenesis research, as signaling through the EGF receptors is intricately involved in gastric cancer and in many other gastroduodenal diseases.
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Hawwari, Yasmine. "Developement of some signal processing tools for vibro-acoustic based diagnosis of aeronautic machines." Electronic Thesis or Diss., Lyon, INSA, 2022. https://theses.insa-lyon.fr/publication/2022ISAL0131/these.pdf.
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Le prétraitement des signaux de vibration dans des conditions difficiles comme celles de l'aéronautique semble être compliqué. Les conditions de fonctionnement sont nonstationnaires et le moteur présente au moins deux familles harmoniques non-linéaires liées à l'arbre à basse et haute pression. De plus, les contraintes de conception imposent un nombre réduit d'accéléromètres (généralement deux) qui est insuffisant pour détecter tous les phénomènes liés à l'arbre. Les signaux acoustiques ne sont pas soumis à cette dernière contrainte. Cependant, ils sont très bruyants par rapport aux signaux de vibration et peuvent ne pas détecter les problèmes de faible énergie. De plus, ils dépendent fortement de la position du microphone et de sa directivité. Ainsi, l'objectif de la thèse est de proposer/essayer des méthodes robustes pour principalement (i) l'interférence entre différents phénomènes linéaires et non linéaires, (ii) les conditions de fonctionnement non stationnaires et (iii) les phénomènes de bruit à large bande (lorsqu'ils ne sont pas d'intérêt). Ces difficultés scientifiques sont considérées à travers (1) une détection aveugle des pics spectraux, (2) l'estimation de la vitesse instantanée et (3) l'estimation de la composante déterministe/tonalePre-processing vibration signals in harsh conditions such as the aeronautic conditions seems a complicated task. The operating conditions are nonstationary and the motor exhibits at least two harmonic non-linear families related to low and high pressure shaft. Furthermore, the design constraints impose a reduced number of accelerometers (generally two) which is unfortunately insufficient to detect all the shaft related phenomena. The acoustic signals are not subjected to the latter constraint. However, they are very noisy in comparison to vibration signals and may not detect low energy problems and very low frequency phenomena. Besides, the obtained signals depend strongly on the microphone position and its directivity in addition to the problem of clipping with medium to high acoustic pressure values. Thus, the PhD objective is to propose methods robust to mainly (i) the interference between different linear and non-linearly related phenomena, (ii) the nonstationary operating conditions and (iii) the broadband noise phenomena. These scientific difficulties are considered through (1) a blind detection of spectral peaks, (2) the estimation of the instantaneous speed and (3) the estimation of the deterministic/tonal component
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Rioual, Pascal. "Modélisation et commande d'un redresseur à MLI alimenté par un réseau déséquilibré." Cachan, Ecole normale supérieure, 1993. http://www.theses.fr/1993DENS0008.
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L'augmentation considérable ces dernières années du nombre de convertisseur sur le réseau d'alimentation se traduit par la nécessite de s'intéresser a la compatibilité entre les convertisseurs et le réseau. Le redresseur à mli est un convertisseur dont les caractéristiques lui permettent d'absorber des courants réseaux sinusoïdaux, et d'échanger de la puissance active et réactive avec le réseau. Le présent travail concerne l'étude de la modélisation et la commande de ce convertisseur ainsi que l'extension au cas d'un réseau déséquilibre. Le redresseur est contrôlé par une régulation cascade: des boucles internes régulent les courants réseaux, une boucle externe régule la tension de capacité. Les conséquences de l'apparition d'une perturbation de type creux de tension (distorsion harmonique sur les courants réseaux, oscillation a l'harmonique 2 des composantes continues) sont analysées puis simulées et vérifiées expérimentalement. Deux solutions sont étudiées: - une compensation s'appuyant sur une étude théorique du système. - la construction d'un régulateur robuste appliquant le principe du modèle interne de Wohnam et la méthode de placement de pôles par -stabilité. Les avantages obtenus permettent d'envisager une meilleure continuité de fonctionnement face aux creux de tension, un dimensionnement réduit du convertisseur, et la conservation des performances. Les domaines d'application concernes sont varies. Dans le domaine industriel, il s'agit des alimentations à bon facteur de puissance ou des procédés nécessitant le réglage du réactif
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Huang, He. "Développement de modèles prédictifs pour la robustesse électromagnétique des composants électroniques." Thesis, Toulouse, INSA, 2015. http://www.theses.fr/2015ISAT0036/document.
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Un objectif important des études de la compatibilité électromagnétique (CEM) est de rendre les produits conformes aux exigences CEM des clients ou les normes. Cependant, toutes les vérifications de la conformité CEM sont appliquées avant la livraison des produits finis. Donc nous pourrions avoir de nouvelles questions sur les performances CEM des systèmes électroniques au cours de leur vie. Les comportements CEM de ces produits seront-ils toujours conformes dans plusieurs années ? Un produit peut-il garder les mêmes performances CEM pendant toute sa durée de vie ? Si non, combien de temps la conformité CEM peut-elle être maintenue ?L'étude à long terme de l'évolution des niveaux CEM, appelée "robustesse électromagnétique», est apparue ces dernières années. Les travaux précédents ont montré que la dégradation causée par le vieillissement pourrait induire des défaillances de système électronique, y compris une évolution de la compatibilité électromagnétique. Dans cette étude, l'évolution à long terme des niveaux CEM de deux groupes de composants électroniques a été étudiée. Le premier type de composant électronique est le circuit intégré. Les courants de hautes fréquences et les tensions induites au cours des activités de commutation de circuits intégrés sont responsables des émissions électromagnétiques non intentionnelles. En outre, les circuits intégrés sont aussi très souvent les victimes d'interférences électromagnétiques. Un autre groupe de composants est formé par les composants passifs. Dans un système électronique, les circuits intégrés fonctionnent souvent avec les composants passifs sur un même circuit imprimé. Les fonctions des composants passifs dans un système électronique, telles que le filtrage et le découplage, ont également une influence importante sur les niveaux de CEM.Afin d'analyser l'évolution à long terme des niveaux CEM des composants électroniques, les travaux présentés dans cette thèse ont pour objectif de proposer des méthodes générales pour prédire l'évolution dans les temps des niveaux de compatibilité électromagnétique des composants électroniquesOne important objective of the electromagnetic compatibility (EMC) studies is to make the products compliant with the EMC requirement of the customers or the standards. However, all the EMC compliance verifications are applied before the delivery of final products. So we might have some new questions about the EMC performance during their lifetime. Will the product still be EMC compliant in several years? Can a product keep the same EMC performance during its whole lifetime? If not, how long the EMC compliance can be maintained? The study of the long-term EMC level, which is called “electromagnetic robustness”, appeared in the recent years. Past works showed that the degradation caused by aging could induce failures of electronic system, including a harmful evolution of electromagnetic compatibility. In this study, the long-term evolution of the EMC levels of two electronic component groups has been studied. The first electronic component type is the integrated circuit. The high-frequency currents and voltages during the switching activities of ICs are responsible for unintentional emissions or coupling. Besides, ICs are also very often the victim of electromagnetic interference. Another group of components is the passive component. In an electronic system, the IC components usually work together with the passive components at PCB level. The functions of passive components in an electronic system, such as filtering and decoupling, also have an important influence on the EMC levels.In order to analyze the long-term evolution of the EMC level of the electronic components, the study in this thesis tends to propose general predictive methods for the electromagnetic compatibility levels of electronic components which evolve with time
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Lin, ChengJu, and 林正茹. "Sensitivity analysis and robustness in principal component analysis." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/32368985442194082708.
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碩士東海大學
統計學系
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Lemma 2.1 of Sibson (1979) is generalized to the second order perturbation of a symmetric matrix. Thus, the second order theoretical influence functions for the eigenvalues and eigenvectors can be developed to detect the masked influential observations in principal component analysis. In addition, a robust principal component can thus be developed by downweighting the identified influential observations. Numerical example illustrates the techniques.
Book chapters on the topic "Component robustness"
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Zhang, Jiejie, Ying Chen, Stefan Klotz, and Kian Guan Lim. "International Yield Curve Prediction with Common Functional Principal Component Analysis." In Robustness in Econometrics, 287–304. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50742-2_17.
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Simons, Kevin, and Judith Stafford. "CMEH: Container Managed Exception Handling for Increased Assembly Robustness." In Component-Based Software Engineering, 122–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24774-6_12.
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Chen, Aiyou, and Peter J. Bickel. "Robustness of Prewhitening Against Heavy-Tailed Sources." In Independent Component Analysis and Blind Signal Separation, 225–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_29.
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Bozga, Marius, Lucas Bueri, and Radu Iosif. "Decision Problems in a Logic for Reasoning About Reconfigurable Distributed Systems." In Automated Reasoning, 691–711. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10769-6_40.
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AbstractWe consider a logic used to describe sets of configurations of distributed systems, whose network topologies can be changed at runtime, by reconfiguration programs. The logic uses inductive definitions to describe networks with an unbounded number of components and interactions, written using a multiplicative conjunction, reminiscent of Bunched Implications [37] and Separation Logic [39]. We study the complexity of the satisfiability and entailment problems for the configuration logic under consideration. Additionally, we consider the robustness property of degree boundedness (is every component involved in a bounded number of interactions?), an ingredient for decidability of entailments.
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Creß, Christian, Lukas Rabe, and Alois Knoll. "Enhancing Robustness Against Component Failures in Intelligent Transportation Systems Through Self-diagnosis Functionality." In Proceedings of the 12th International Scientific Conference on Mobility and Transport, 21–35. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8361-0_3.
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Murayama, Toru, and Lorenzo Sabattini. "Preservation of Giant Component Size After Robot Failure for Robustness of Multi-robot Network." In Distributed Autonomous Robotic Systems, 415–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92790-5_32.
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Tan, Zheng, Weihui Zhong, and Yingzhao Qiu. "Research on robustness of space steel frames against progressive collapse based on component method." In Civil Engineering and Energy-Environment Vol 1, 162–68. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003433644-19.
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Noller, Yannic. "Hybrid Differential Software Testing." In Ernst Denert Award for Software Engineering 2020, 167–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83128-8_9.
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AbstractDifferential software testing is important for software quality assurance as it aims to automatically generate test inputs that reveal behavioral differences in software. Detecting regression bugs in software evolution, analyzing side-channels in programs, maximizing the execution cost of a program over multiple executions, and evaluating the robustness of neural networks are instances of differential software analysis to generate diverging executions of program paths. The key challenge thereby is to simultaneously reason about multiple program paths, often across program variants, in an efficient way. Existing work in differential testing is often not (specifically) directed to reveal a different behavior or is limited to a subset of the search space. This work proposes the concept of Hybrid Differential Software Testing (HyDiff) as a hybrid analysis technique to generate difference revealing inputs. HyDiff consists of two components that operate in a parallel setup: (1) a search-based technique that inexpensively generates inputs and (2) a systematic exploration technique to also exercise deeper program behaviors. HyDiff’s search-based component uses differential fuzzing directed by differential heuristics. HyDiff’s systematic exploration component is based on differential dynamic symbolic execution that allows to incorporate concrete inputs in its analysis. HyDiff is evaluated experimentally with applications specific for differential testing. The results show that HyDiff is effective in all considered categories and outperforms its components in isolation.
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Pignocchino, Gianmarco, Alessandro Pezzoli, and Angelo Besana. "Satellite Data and Epidemic Cartography: A Study of the Relationship Between the Concentration of NO2 and the COVID-19 Epidemic." In Communications in Computer and Information Science, 55–67. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94426-1_5.
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AbstractSatellite data are widely used to study the spatial component of epidemics: to monitor their evolution, to create epidemiological risk maps and predictive models. The improvement of data quality, not only in technical terms but also of scientific relevance and robustness, represents in this context one of the most important aspects for health information technology that can make further significant and useful progress in monitoring and managing epidemics. In this regard, this paper intends to address an issue that is not always adequately considered in the use of satellite data for the creation of maps and spatial models of epidemics, namely the preliminary verification of the level of spatial correlation between remote sensing environmental variables and epidemics. Specifically, we intend to evaluate the contribution of exposure to the pollutant nitrogen dioxide (NO2) on the spatial spread of the virus and the severity of the current COVID infection.
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Papastavrou, Y., D. Cash, D. Hawkes, and B. Hutton. "A Multi-component similarity measure for improved robustness of non-rigid registration of combined FDG PET-CT head and neck images." In IFMBE Proceedings, 433–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_102.
Full textConference papers on the topic "Component robustness"
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Chen, Mei, and Yan Liu. "Informative Component Extraction with Robustness Consideration." In 2008 Chinese Conference on Pattern Recognition. IEEE, 2008. http://dx.doi.org/10.1109/ccpr.2008.18.
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Wang, Xiaoping, Yunhao Liu, Zheng Yang, Junliang Liu, and Jun Luo. "ETOC: Obtaining robustness in component-based localization." In 2010 18th IEEE International Conference on Network Protocols (ICNP). IEEE, 2010. http://dx.doi.org/10.1109/icnp.2010.5762755.
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Maghami, Peiman. "Robustness of flexible systems with component-level uncertainties." In AIAA Guidance, Navigation, and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4149.
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Li, Ying, Fuwei Li, Lifeng Lai, and Jun Wu. "On The Adversarial Robustness of Principal Component Analysis." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9413607.
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Sueaseenak, Direk, Theerasak Chanwimalueang, Manas Sangworasil, and Chuchart Pintavirooj. "An investigation of robustness in independent component analysis EMG." In 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2009. http://dx.doi.org/10.1109/ecticon.2009.5137237.
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Dumitrescu, Ana-Maria, and Mihaela Albu. "Robustness against measurement component for controllers in LV active filters." In 2012 IEEE International Workshop on Applied Measurements for Power Systems (AMPS). IEEE, 2012. http://dx.doi.org/10.1109/amps.2012.6344014.
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Drukker, K., N. P. Gruszauskas, and M. L. Giger. "Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification." In SPIE Medical Imaging, edited by Nico Karssemeijer and Maryellen L. Giger. SPIE, 2009. http://dx.doi.org/10.1117/12.811341.
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Maji, Amiya K., Fahad A. Arshad, Saurabh Bagchi, and Jan S. Rellermeyer. "An empirical study of the robustness of Inter-component Communication in Android." In 2012 42nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2012. http://dx.doi.org/10.1109/dsn.2012.6263963.
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De la Torre, Fernando, Alvaro Collet, Manuel Quero, Jeffrey F. Cohn, and Takeo Kanade. "Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models." In 2007 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/cvpr.2007.383056.
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Wang, Qianqian, Quanxue Gao, Xinbo Gao, and Feiping Nie. "Angle Principal Component Analysis." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/409.
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Recently, many ℓ1-norm based PCA methods have been developed for dimensionality reduction, but they do not explicitly consider the reconstruction error. Moreover, they do not take into account the relationship between reconstruction error and variance of projected data. This reduces the robustness of algorithms. To handle this problem, a novel formulation for PCA, namely angle PCA, is proposed. Angle PCA employs ℓ2-norm to measure reconstruction error and variance of projected da-ta and maximizes the summation of ratio between variance and reconstruction error of each data. Angle PCA not only is robust to outliers but also retains PCA’s desirable property such as rotational invariance. To solve Angle PCA, we propose an iterative algorithm, which has closed-form solution in each iteration. Extensive experiments on several face image databases illustrate that our method is overall superior to the other robust PCA algorithms, such as PCA, PCA-L1 greedy, PCA-L1 nongreedy and HQ-PCA.
Reports on the topic "Component robustness"
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Ardanaz, Martín, Eduardo A. Cavallo, Alejandro Izquierdo, and Jorge Puig. Output Effects of Fiscal Consolidations: Does Spending Composition Matter? Inter-American Development Bank, December 2021. http://dx.doi.org/10.18235/0003881.
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This paper studies whether changes in the composition of public spending affect the macroeconomic consequences of fiscal consolidations. Based on a sample of 44 developing countries and 26 advanced economies during 1980-2019, results show that while fiscal consolidations tend to be on average, contractionary, the size of the output fall depends on the behavior of public investment vis-a-vis public consumption during the fiscal adjustment, with heterogeneous responses growing over time. When public investment is penalized relative to public consumption and thus, its share in public expenditures decreases, a 1 percent of GDP consolidation reduces output by 0.7 percent within three years of the fiscal shock. In contrast, safeguarding public investment from budget cuts vis-a-vis public consumption can neutralize the contractionary effects of fiscal adjustments on impact, and can even spur output growth over the medium term. The component of GDP that mostly drives the heterogeneity between both types of adjustments is private investment. The results hold up to a number of robust-ness tests, including alternative identification strategies of fiscal shocks. The findings have policy implications for the design of fiscal adjustment strategies to protect economic growth as countries recover from the coronavirus pandemic.consolidation reduces output by 0.7 percent within three years of the fiscal shock. In contrast, safeguarding public investment from budget cuts vis-a-vis public consumption can neutralize the contractionary effects of fiscal adjustments on impact, and can even spur output growth over the medium term. The component of GDP that mostly drives the heterogeneity between both types of adjustments is private investment. The results hold up to a number of robustness tests, including alternative identification strategies of fiscal shocks. The findings have policy implications for the design of fiscal adjustment strategies to protect economic growth as countries recover from the coronavirus pandemic.
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McEntee, Alice, Sonia Hines, Joshua Trigg, Kate Fairweather, Ashleigh Guillaumier, Jane Fischer, Billie Bonevski, James A. Smith, Carlene Wilson, and Jacqueline Bowden. Tobacco cessation in CALD communities. The Sax Institute, June 2022. http://dx.doi.org/10.57022/sneg4189.
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Background Australia is a multi-cultural society with increasing rates of people from culturally and linguistically diverse (CALD) backgrounds. On average, CALD groups have higher rates of tobacco use, lower participation in cancer screening programs, and poorer health outcomes than the general Australian population. Lower cancer screening and smoking cessation rates are due to differing cultural norms, health-related attitudes, and beliefs, and language barriers. Interventions can help address these potential barriers and increase tobacco cessation and cancer screening rates among CALD groups. Cancer Council NSW (CCNSW) aims to reduce the impact of cancer and improve cancer outcomes for priority populations including CALD communities. In line with this objective, CCNSW commissioned this rapid review of interventions implemented in Australia and comparable countries. Review questions This review aimed to address the following specific questions: Question 1 (Q1): What smoking cessation interventions have been proven effective in reducing or preventing smoking among culturally and linguistically diverse communities? Question 2 (Q2): What screening interventions have proven effective in increasing participation in population cancer screening programs among culturally and linguistically diverse populations? This review focused on Chinese-, Vietnamese- and Arabic-speaking people as they are the largest CALD groups in Australia and have high rates of tobacco use and poor screening adherence in NSW. Summary of methods An extensive search of peer-reviewed and grey literature published between January 2013-March 2022 identified 19 eligible studies for inclusion in the Q1 review and 49 studies for the Q2 review. The National Health and Medical Research Council (NHMRC) Levels of Evidence and Joanna Briggs Institute’s (JBI) Critical Appraisal Tools were used to assess the robustness and quality of the included studies, respectively. Key findings Findings are reported by components of an intervention overall and for each CALD group. By understanding the effectiveness of individual components, results will demonstrate key building blocks of an effective intervention. Question 1: What smoking cessation interventions have been proven effective in reducing or preventing smoking among culturally and linguistically diverse communities? Thirteen of the 19 studies were Level IV (L4) evidence, four were Level III (L3), one was Level II (L2), none were L1 (highest level of evidence) and one study’s evidence level was unable to be determined. The quality of included studies varied. Fifteen tobacco cessation intervention components were included, with most interventions involving at least three components (range 2-6). Written information (14 studies), and education sessions (10 studies) were the most common components included in an intervention. Eight of the 15 intervention components explored had promising evidence for use with Chinese-speaking participants (written information, education sessions, visual information, counselling, involving a family member or friend, nicotine replacement therapy, branded merchandise, and mobile messaging). Another two components (media campaign and telephone follow-up) had evidence aggregated across CALD groups (i.e., results for Chinese-speaking participants were combined with other CALD group(s)). No intervention component was deemed of sufficient evidence for use with Vietnamese-speaking participants and four intervention components had aggregated evidence (written information, education sessions, counselling, nicotine replacement therapy). Counselling was the only intervention component to have promising evidence for use with Arabic-speaking participants and one had mixed evidence (written information). Question 2: What screening interventions have proven effective in increasing participation in population cancer screening programs among culturally and linguistically diverse populations? Two of the 49 studies were Level I (L1) evidence, 13 L2, seven L3, 25 L4 and two studies’ level of evidence was unable to be determined. Eighteen intervention components were assessed with most interventions involving 3-4 components (range 1-6). Education sessions (32 studies), written information (23 studies) and patient navigation (10 studies) were the most common components. Seven of the 18 cancer screening intervention components had promising evidence to support their use with Vietnamese-speaking participants (education sessions, written information, patient navigation, visual information, peer/community health worker, counselling, and peer experience). The component, opportunity to be screened (e.g. mailed or handed a bowel screening test), had aggregated evidence regarding its use with Vietnamese-speaking participants. Seven intervention components (education session, written information, visual information, peer/community health worker, opportunity to be screened, counselling, and branded merchandise) also had promising evidence to support their use with Chinese-speaking participants whilst two components had mixed (patient navigation) or aggregated (media campaign) evidence. One intervention component for use with Arabic-speaking participants had promising evidence to support its use (opportunity to be screened) and eight intervention components had mixed or aggregated support (education sessions, written information, patient navigation, visual information, peer/community health worker, peer experience, media campaign, and anatomical models). Gaps in the evidence There were four noteworthy gaps in the evidence: 1. No systematic review was captured for Q1, and only two studies were randomised controlled trials. Much of the evidence is therefore based on lower level study designs, with risk of bias. 2. Many studies provided inadequate detail regarding their intervention design which impacts both the quality appraisal and how mixed finding results can be interpreted. 3. Several intervention components were found to have supportive evidence available only at the aggregate level. Further research is warranted to determine the interventions effectiveness with the individual CALD participant group only. 4. The evidence regarding the effectiveness of certain intervention components were either unknown (no studies) or insufficient (only one study) across CALD groups. This was the predominately the case for Arabic-speaking participants for both Q1 and Q2, and for Vietnamese-speaking participants for Q1. Further research is therefore warranted. Applicability Most of the intervention components included in this review are applicable for use in the Australian context, and NSW specifically. However, intervention components assessed as having insufficient, mixed, or no evidence require further research. Cancer screening and tobacco cessation interventions targeting Chinese-speaking participants were more common and therefore showed more evidence of effectiveness for the intervention components explored. There was support for cancer screening intervention components targeting Vietnamese-speaking participants but not for tobacco cessation interventions. There were few interventions implemented for Arabic-speaking participants that addressed tobacco cessation and screening adherence. Much of the evidence for Vietnamese and Arabic-speaking participants was further limited by studies co-recruiting multiple CALD groups and reporting aggregate results. Conclusion There is sound evidence for use of a range of intervention components to address tobacco cessation and cancer screening adherence among Chinese-speaking populations, and cancer screening adherence among Vietnamese-speaking populations. Evidence is lacking regarding the effectiveness of tobacco cessation interventions with Vietnamese- and Arabic-speaking participants, and cancer screening interventions for Arabic-speaking participants. More research is required to determine whether components considered effective for use in one CALD group are applicable to other CALD populations.
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Mitra, Sudeshna, Amlanjyoti Goswami, Deepika Jha, Sahil Sasidharan, Kaye Lushington, and Tsomo Wangchuk. Land Records Modernisation in India: Himachal Pradesh. Indian Institute for Human Settlements, 2021. http://dx.doi.org/10.24943/9788195648504.
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This work provides an institutional, legal and policy review of crucial aspects of land records modernisation systems in Himachal Pradesh. A state characterised by hilly terrain, high forest cover and low urbanisation, Himachal Pradesh provides useful lessons to understand the robustness and diversity of land record administration systems. The property regimes that have historically developed in the state include customary rights, common property resources, jointly held rights, and multiple other use and possession arrangements. There is a restriction on who can transact properties in the state, aimed at preventing alienation of land. Settlement operations are conducted every 40 years, and often take a long time to complete, but have led to relatively more up-to-date records than some other states. There are also concerns regarding the accuracy of spatial records, and data mismatches between textual and spatial components of the existing record versus the new technology led survey data if often is a cause of disputes.
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Martin, Ciaran. Five tests for risk-based approaches to national cybersecurity in resource-constrained environments. Digital Pathways at Oxford, April 2022. http://dx.doi.org/10.35489/bsg-dp-wp_2022/05.
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While we cannot currently accurately specify what good cybersecurity looks like, we can analyse what good risk-based approaches to national cybersecurity should aim at achieving. This is particularly important in low- and middle-income countries operating in resource-constrained environments in the early stages of economic development and digitalisation. This paper, therefore, discusses key considerations for risk-based cybersecurity by investigating the trade-offs that decision-makers should address so that scarce resources are best deployed to fend off threats that are more likely to happen and cause significant harm. The analysis is presented in the form of five tests that can be used to analyse the robustness of risk-based cybersecurity when resources are limited and to think about the potential paths that nations can take as they grapple with various economic and digitalisation challenges. As such, this framework does not present an exhaustive list of all the fundamental components of a cybersecurity strategy, but rather analyses the most important trade-offs and challenges that a cybersecurity strategy should address.
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Cook, Joshua, Laura Ray, and James Lever. Dynamics modeling and robotic-assist, leader-follower control of tractor convoys. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43202.
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This paper proposes a generalized dynamics model and a leader-follower control architecture for skid-steered tracked vehicles towing polar sleds. The model couples existing formulations in the literature for the powertrain components with the vehicle-terrain interaction to capture the salient features of terrain trafficability and predict the vehicles response. This coupling is essential for making realistic predictions of the vehicles traversing capabilities due to the power-load relationship at the engine output. The objective of the model is to capture adequate fidelity of the powertrain and off-road vehicle dynamics while minimizing the computational cost for model based design of leader-follower control algorithms. The leader-follower control architecture presented proposes maintaining a flexible formation by using a look-ahead technique along with a way point following strategy. Results simulate one leader-follower tractor pair where the leader is forced to take an abrupt turn and experiences large oscillations of its drawbar arm indicating potential payload instability. However, the follower tractor maintains the flexible formation but keeps its payload stable. This highlights the robustness of the proposed approach where the follower vehicle can reject errors in human leader driving.
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Irudayaraj, Joseph, Ze'ev Schmilovitch, Amos Mizrach, Giora Kritzman, and Chitrita DebRoy. Rapid detection of food borne pathogens and non-pathogens in fresh produce using FT-IRS and raman spectroscopy. United States Department of Agriculture, October 2004. http://dx.doi.org/10.32747/2004.7587221.bard.
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Rapid detection of pathogens and hazardous elements in fresh fruits and vegetables after harvest requires the use of advanced sensor technology at each step in the farm-to-consumer or farm-to-processing sequence. Fourier-transform infrared (FTIR) spectroscopy and the complementary Raman spectroscopy, an advanced optical technique based on light scattering will be investigated for rapid and on-site assessment of produce safety. Paving the way toward the development of this innovative methodology, specific original objectives were to (1) identify and distinguish different serotypes of Escherichia coli, Listeria monocytogenes, Salmonella typhimurium, and Bacillus cereus by FTIR and Raman spectroscopy, (2) develop spectroscopic fingerprint patterns and detection methodology for fungi such as Aspergillus, Rhizopus, Fusarium, and Penicillium (3) to validate a universal spectroscopic procedure to detect foodborne pathogens and non-pathogens in food systems. The original objectives proposed were very ambitious hence modifications were necessary to fit with the funding. Elaborate experiments were conducted for sensitivity, additionally, testing a wide range of pathogens (more than selected list proposed) was also necessary to demonstrate the robustness of the instruments, most crucially, algorithms for differentiating a specific organism of interest in mixed cultures was conceptualized and validated, and finally neural network and chemometric models were tested on a variety of applications. Food systems tested were apple juice and buffer systems. Pathogens tested include Enterococcus faecium, Salmonella enteritidis, Salmonella typhimurium, Bacillus cereus, Yersinia enterocolitis, Shigella boydii, Staphylococus aureus, Serratiamarcescens, Pseudomonas vulgaris, Vibrio cholerae, Hafniaalvei, Enterobacter cloacae, Enterobacter aerogenes, E. coli (O103, O55, O121, O30 and O26), Aspergillus niger (NRRL 326) and Fusarium verticilliodes (NRRL 13586), Saccharomyces cerevisiae (ATCC 24859), Lactobacillus casei (ATCC 11443), Erwinia carotovora pv. carotovora and Clavibacter michiganense. Sensitivity of the FTIR detection was 103CFU/ml and a clear differentiation was obtained between the different organisms both at the species as well as at the strain level for the tested pathogens. A very crucial step in the direction of analyzing mixed cultures was taken. The vector based algorithm was able to identify a target pathogen of interest in a mixture of up to three organisms. Efforts will be made to extend this to 10-12 key pathogens. The experience gained was very helpful in laying the foundations for extracting the true fingerprint of a specific pathogen irrespective of the background substrate. This is very crucial especially when experimenting with solid samples as well as complex food matrices. Spectroscopic techniques, especially FTIR and Raman methods are being pursued by agencies such as DARPA and Department of Defense to combat homeland security. Through the BARD US-3296-02 feasibility grant, the foundations for detection, sample handling, and the needed algorithms and models were developed. Successive efforts will be made in transferring the methodology to fruit surfaces and to other complex food matrices which can be accomplished with creative sampling methods and experimentation. Even a marginal success in this direction will result in a very significant breakthrough because FTIR and Raman methods, in spite of their limitations are still one of most rapid and nondestructive methods available. Continued interest and efforts in improving the components as well as the refinement of the procedures is bound to result in a significant breakthrough in sensor technology for food safety and biosecurity.
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Scientists Confirm Robustness of Key Component in Ultra-High-Efficiency Solar Cell (Fact Sheet). Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1015889.
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