In this paper, the application of mathematical models in infectious disease research is reviewed. this paper mainly introduces SIR infectious disease model, SIRS infectious disease model and some methods of infectious...
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ISBN:
(数字)9781728198880
ISBN:
(纸本)9781728198897
In this paper, the application of mathematical models in infectious disease research is reviewed. this paper mainly introduces SIR infectious disease model, SIRS infectious disease model and some methods of infectious disease control based on model. An SIR model based on the "compartment" model and a SIRS model with standard incidence, vertical infection, continuous inoculation and treatment were established and analyzed. In this paper, the evolution of infectious diseases is illustrated and the effects of different strategies on the control of infectious diseases are compared.
the ambitious requirements for the economical production of personalized products are one of the key drivers in the development of flexible automation solutions. Novel solution approaches for programming robots using ...
ISBN:
(数字)9781728189567
ISBN:
(纸本)9781728189574
the ambitious requirements for the economical production of personalized products are one of the key drivers in the development of flexible automation solutions. Novel solution approaches for programming robots using advanced Machine Learning methods show promising results to increase flexibility. these so called intelligent automation solutions can adapt to changes in the product or manufacturing process with only minor human investment. However, the significant amounts of data needed to train the robots still limits the approach. One possible way is to generate this data is utilizing a physics simulation environment. Specialized joining models can be used to further increase the accuracy of the simulation and enrich the generated data as well as reduce the gap between the simulation and the real world. the presented work focussed on the extension of state of the art simulation environments with dedicated joining models for the assembly of electrical components in the electrical cabinet assembly. this extension is intended to make a significant contribution to Simulation-based training for intelligent robot-based automation solutions.
Advanced driving-assistance systems (ADAS) have become more popular and received more aid in automotive business. ADAS systems evolution requires more efforts to prepare efficient and reliable systems. Because of safe...
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ISBN:
(纸本)9781728109336
Advanced driving-assistance systems (ADAS) have become more popular and received more aid in automotive business. ADAS systems evolution requires more efforts to prepare efficient and reliable systems. Because of safety restrictions we need to validate systems by driving over several million kilometers in different conditions. that is why research, development and verification processes are highly required. the best solution to solve this problem are computer simulations. Application of digital scenarios saves time, money and human resources. there are many simulators which are developed by automotive companies. In our paper we would like to present set of simulators which are used to simulate and validate camera sensors, control and path planning algorithms for ADAS. Our tools are able to simulate/emulate vehicle components and road environment elements. However, mainly in case of ADAS systems this is a difficult task. Our paper presents approaches the methodology of virtual simulations [1].
In this work we present modified iterative methods for computing basic statistical quantities (mean, variance) for use in the calibration process of a system based on V2I (vehicle-to-infrastructure) communication devi...
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ISBN:
(纸本)9781728109336
In this work we present modified iterative methods for computing basic statistical quantities (mean, variance) for use in the calibration process of a system based on V2I (vehicle-to-infrastructure) communication devices. Such devices, mounted in the road and urban infrastructure (RSU road side equipment) may be used as support for autonomous vehicles moving in urban environment. Calibration is necessary to determine the positions of the RSUs in global coordinate system (GCS) and to record this information in their internal memory. the proposed modifications to conventional iterative algorithms aim at adapting these methods to the application in devices with low computational abilities or directly at the transistor level in specialized integrated circuits.
A state space integer order approximation of a commensurate order systems is obtained using a data driven interpolation approach based on Loewner matrices. Precisely, given the values of the original fractional order ...
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ISBN:
(纸本)9781728109336
A state space integer order approximation of a commensurate order systems is obtained using a data driven interpolation approach based on Loewner matrices. Precisely, given the values of the original fractional order transfer function at a number of generalised frequencies, a descriptor form state space model matching these frequency response values is constructed from a suitable Loewner matrix pencil, as already suggested for the reduction of high dimensional integer order systems. Even if the stability of the resulting integer order system cannot be guaranteed, such an approach is particularly suitable for approximating (infinite dimensional) fractional order systems because: (i) the order of the approximation is bounded by half the number of interpolation points, (ii) the procedure is more robust and simple than alternative approximation methods, and (iii) the procedure is fairly flexible and often leads to satisfactory results, as shown by a pair of examples taken from the literature. Clearly, the approximation depends on the location, spacing and number of the generalised interpolation frequencies but there is no particular reason to choose the interpolation frequencies on the imaginary axis, which is a natural choice in integer order model reduction, since this axis does not correspond to the stability boundary of the original fractional order system.
Cooperative Systems promise increased performance by enriching environmental perception through shared data. Conversely, the entailed openness of the individual system architectures threatens their safety. Recent work...
ISBN:
(数字)9781728189567
ISBN:
(纸本)9781728189574
Cooperative Systems promise increased performance by enriching environmental perception through shared data. Conversely, the entailed openness of the individual system architectures threatens their safety. Recent works focus on a runtime safety assessment to address this threat and thereby aim for high abstractions to provide general interfaces. On the other hand, uncertainty models of shared data, which are necessary inputs to such approaches, aim for low abstractions to provide detailed representations. the present work addresses the resulting incompatibilities by proposing a Lyapunov-based method to estimate so-called Regions of Safety. We show that these enable analyzing low-level uncertainty models to interface with state-of-the-art run-time safety assessment methods and thereby facilitate self-adaptivity and guaranteed safety of cooperative systems. the approach is evaluated in the simulated scenario of Cooperative Adaptive Cruise Control.
Unsupervised domain adaptation has attracted appealing academic attentions by transferring knowledge from labeled source domain to unlabeled target domain. However, most existing methods assume the source data are dra...
ISBN:
(纸本)9781713845393
Unsupervised domain adaptation has attracted appealing academic attentions by transferring knowledge from labeled source domain to unlabeled target domain. However, most existing methods assume the source data are drawn from a single domain, which cannot be successfully applied to explore complementarily transferable knowledge from multiple source domains with large distribution discrepancies. Moreover, they require access to source data during training, which are inefficient and unpractical due to privacy preservation and memory storage. To address these challenges, we develop a novel Confident-Anchor-induced multisource-free Domain Adaptation (CAiDA) model, which is a pioneer exploration of knowledge adaptation from multiple source domains to the unlabeled target domain without any source data, but with only pre-trained source models. Specifically, a source-specific transferable perception module is proposed to automatically quantify the contributions of the complementary knowledge transferred from multi-source domains to the target domain. To generate pseudo labels for the target domain without access to the source data, we develop a confident-anchor-induced pseudo label generator by constructing a confident anchor group and assigning each unconfident target sample with a semantic-nearest confident anchor. Furthermore, a class-relationship-aware consistency loss is proposed to preserve consistent inter-class relationships by aligning soft confusion matrices across domains. theoretical analysis answers why multi-source domains are better than a single source domain, and establishes a novel learning bound to show the effectiveness of exploiting multi-source domains. Experiments on several representative datasets illustrate the superiority of our proposed CAiDA model.
this paper studies the H ∞ filter design problem for a nonlinear system based on Takagi-Sugeno model. Firstly, we propose a hybrid and adaptive event-triggered scheme, which contributes to save the limited communica...
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ISBN:
(数字)9781728189819
ISBN:
(纸本)9781728189826
this paper studies the H ∞ filter design problem for a nonlinear system based on Takagi-Sugeno model. Firstly, we propose a hybrid and adaptive event-triggered scheme, which contributes to save the limited communication resource while excluding the Zeno behavior. then, a slack Lyapunov-Krasovskii functional (LKF), the discontinuity and non-positive definiteness of which are allowed in a triggered interval, is constructed. Based on the above methods, sufficient criteria on the exponential stability of the filtering error system with a weighted H ∞ performance are established, the design method of the desired filter is achieved as well. Finally, the obtained result is verified by a tunnel diode circuit system.
Electric power transformer is one of the most necessary part in power system, and hence, it's significant to diagnose the transformer malfunction in advance;A methods of prediction for transformer malfunction base...
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ISBN:
(数字)9781728198880
ISBN:
(纸本)9781728198897
Electric power transformer is one of the most necessary part in power system, and hence, it's significant to diagnose the transformer malfunction in advance;A methods of prediction for transformer malfunction based on oil chromatography is described;4 models for time series prediction are illustrated, and the specific methods for model identification and ordering are explained;the time series model was applied to predict transformer malfunction in the oil chromatography analysis example, and accurate results were obtained, which shows that the method described in this paper can effectively predict the concentration of dissolved gas in transformer oil in future, and diagnose the types of malfunctions so that meet the actual need of projects.
the pilot's error is one of the important factors affecting flight safety, which may cause serious consequences. this article mainly discusses the continuous operating deviation and sudden large-scale misoperation...
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ISBN:
(数字)9781728177090
ISBN:
(纸本)9781728177106
the pilot's error is one of the important factors affecting flight safety, which may cause serious consequences. this article mainly discusses the continuous operating deviation and sudden large-scale misoperation during the flight process. For the two types of error models, the controllers are designed to reduce the impact after the misoperation occurs, and simulation verification is performed. Simulation results show that the L1 adaptive controller can effectively suppress the impact of continuous operating deviation on control performance and improve flight comfort; the incremental nonlinear dynamic inverse controller can effectively reduce the impact of large misoperation and restore the original flight state.
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