Determining electromagnetic (EM) coupling to printed circuit boards (PCBs) is essential to finding potential EM susceptibilities early in the design process. For realistic PCB structures, analysis usually relies heavi...
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ISBN:
(数字)9798350360394
ISBN:
(纸本)9798350360400
Determining electromagnetic (EM) coupling to printed circuit boards (PCBs) is essential to finding potential EM susceptibilities early in the design process. For realistic PCB structures, analysis usually relies heavily on time-consuming full-wave simulations because of the complexity of the geometries and the lack of analytical solutions. In this paper, we adopt a segmentation approach based on far-field reciprocity which allows for rapid estimation of the voltage induced at trace terminations over frequency, and which is then used to estimate statistical characteristic of coupling across trace geometries. Frequency-domain results can then be used to estimate time-domain responses with appropriate transformations. Super-position is then used to separate the coupling contributed by different PCB structures, which provides better insight into the mechanisms responsible for susceptibility.
We present a new fluctuation-dissipation relation that shows how quantum noise transforms under engineered nonlinear dissipation found in many important nonlinear optical devices and validate the theory with experimen...
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The head-related transfer function(HRTF)plays a vital role in immersive virtual reality and augmented reality technologies,especially in spatial audio synthesis for binaural *** article proposes a deep learning method...
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The head-related transfer function(HRTF)plays a vital role in immersive virtual reality and augmented reality technologies,especially in spatial audio synthesis for binaural *** article proposes a deep learning method with generic HRTF amplitudes and anthropometric parameters as input features for individual HRTF *** designing fully convolutional neural networks,the key anthropometric parameters and the generic HRTF amplitudes were used to predict each individual HRTF amplitude spectrum in the full-space directions,and the interaural time delay(ITD)was predicted by the transformer *** the amplitude prediction model,the attention mechanism was adopted to better capture the relationship of HRTF amplitude spectra at two distinctive directions with large angle differences in ***,with the minimum phase model,the predicted amplitude spectrum and ITDs were used to obtain a set of individual head-related impulse *** the separate training of the HRTF amplitude and ITD generation models,their joint training was also considered and *** root-mean-square error and the log-spectral distortion were selected as objective measurement metrics to evaluate the *** experiments further showed that the auditory source localisation performance of the proposed method was better than other methods in most cases.
science gateways have been widely utilized by a large number of user communities to simplify access to complex distributed computing infrastructures. While science gateways are still becoming increasingly popular and ...
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We present a new fluctuation-dissipation relation that shows how quantum noise transforms under engineered nonlinear dissipation found in many important nonlinear optical devices and validate the theory with experimen...
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HPC systems encompass more components with each new generation. As a result, the process of interacting with stable storage systems like parallel file systems (PFS) becomes increasingly difficult. Larger systems often...
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This paper presents a low cost Si IGBT circuit breaker for protection of the Wolfspeed 10 kV XHV-9 half bridge SiC MOSFET module. Based on the 10 kV SiC module short circuit (SC) protection requirement, both current l...
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Two models are introduced to study the problem of matching two correlated graphs when some of the nodes are corrupt. In the weak model, a random subset of nodes in one or both graphs can interact randomly with their n...
Two models are introduced to study the problem of matching two correlated graphs when some of the nodes are corrupt. In the weak model, a random subset of nodes in one or both graphs can interact randomly with their network. For this model, it is shown that no estimator can correctly recover a positive fraction of the corrupt nodes. Necessary conditions for any estimator to correctly identify and match all the uncorrupt nodes are derived, and it is shown that these conditions are also sufficient for the k-core estimator. In the strong model, an adversarially selected subset of nodes in one or both graphs can interact arbitrarily with their network. For this model, detection of corrupt nodes is impossible. Even so, we show that if only one of the networks is compromised, then under appropriate conditions, the maximum overlap estimator can correctly match a positive fraction of nodes albeit without explicitly identifying them.
This paper presents temperature sensitive electrical parameters (TSEPs) selection for a 10 kV silicon carbide (SiC) MOSFET power module. Static parameters including ON-state resistance and threshold voltage are introd...
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With the rapid development of Internet technology,users have an increasing demand for *** continuous popularization of traffic-intensive applications such as high-definition video,3D visualization,and cloud computing ...
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With the rapid development of Internet technology,users have an increasing demand for *** continuous popularization of traffic-intensive applications such as high-definition video,3D visualization,and cloud computing has promoted the rapid evolution of the communications *** order to cope with the huge traffic demand of today’s users,5G networks must be fast,flexible,reliable and *** on these research backgrounds,the academic community has proposed D2D *** main feature of D2D communication is that it enables direct communication between devices,thereby effectively improve resource utilization and reduce the dependence on base stations,so it can effectively improve the throughput of multimedia *** of the most considerable factor which affects the performance of D2D communication is the co-channel interference which results due to the multiplexing of multiple D2D user using the same channel resource of the cellular *** solve this problem,this paper proposes a joint algorithm time scheduling and power *** main idea is to effectively maximize the number of allocated resources in each scheduling period with satisfied quality of service *** constraint problem is decomposed into time scheduling and power control *** power control subproblem has the characteristics of mixed-integer linear programming of ***,we proposed a gradual power control *** time scheduling subproblem belongs to the NP-hard problem having convex-cordinality,therefore,we proposed a heuristic scheme to optimize resource *** results show that the proposed algorithm effectively improved the resource allocation and overcome the co-channel interference as compared with existing algorithms.
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