Shape constraints yield flexible middle grounds between fully nonparametric and fully parametric approaches to modeling distributions of data. The specific assumption of log-concavity is motivated by applications acro...
详细信息
In hafnia-based thin-film ferroelectric devices, chemical phenomena during growth and processing such as oxygen vacancy formation and interfacial reactions appear to strongly affect device performance. However, the na...
详细信息
We study deregulated power markets with strategic power suppliers. In deregulated markets, each supplier submits its supply function (i.e., the amount of electricity it is willing to produce at various prices) to the ...
详细信息
Surgical instrument detection and tracking is one of the core technologies of surgical robots, which can assist clinicians in completing operations. However, existing methods need further improvement in terms of real-...
详细信息
Battery cyclic loss is a key parameter to assess lithium-ion battery degradation in electric vehicles (EVs), while machine learning (ML) methods can be used in evaluating and predicting the degradation trend of batter...
Battery cyclic loss is a key parameter to assess lithium-ion battery degradation in electric vehicles (EVs), while machine learning (ML) methods can be used in evaluating and predicting the degradation trend of battery health due to cyclic loss. The accuracy of ML methods is influenced by the input parameter selection of the model. This paper develops a feature selection strategy based on the utilization of a data pre-processing method, which extracts useful model input parameters from the battery data. To show the advantages of the method, eight widely used ML algorithms are applied to a case study and compared for battery cyclic loss prediction. The results show that the developed feature selection method has improved the prediction accuracy by at least 9%, in the case of LASSO regression The results also depict that the random forest (RF) regression, Gaussian Process Regression (GPR), and XGBoost methods, when applied in combination with the developed feature selection method, show an improvement of 44%, 48% and 52% in the prediction accuracy, respectively.
Quest for high capacity communication have led the research community to explore a plethora of technologies. Among these, optical code division multiple access (OCDMA) technique stands tall with support for high data ...
详细信息
Achieving oscillations with small dimensions, high power, high coherence, and low phase noise has been a longstanding goal in wave physics, driving innovations across classical electromagnetic theory and quantum physi...
详细信息
In this paper, we investigate periodically driven open quantum systems within the framework of Floquet-Lindblad master equations. Specifically, we discuss Lindblad master equations in the presence of a coherent, time-...
详细信息
In this paper, we investigate periodically driven open quantum systems within the framework of Floquet-Lindblad master equations. Specifically, we discuss Lindblad master equations in the presence of a coherent, time-periodic driving and establish their general spectral features. We also clarify the notions of transient and nondecaying solutions from this spectral perspective, and then prove that any physical system described by a Floquet-Lindblad equation must have at least one physical nonequilibrium steady state (NESS), corresponding to an eigenoperator of the Floquet-Lindblad evolution superoperator UF with unit eigenvalue. Since the Floquet-Lindblad formalism encapsulates the entire information regarding the NESS, it in principle enables us to obtain nonlinear effects to all orders at once. The Floquet-Lindblad formalism thus provides a powerful tool for studying driven-dissipative solid-state systems, which we illustrate by deriving the nonlinear optical response of a simple two-band model of an insulating solid and comparing it with prior results established through Keldysh techniques.
In this work, we present an anomaly detection algorithm for wireless spectrum data and evaluate its ability to accurately detect interfering transmissions. The algorithm considers three types of interfering signals: a...
详细信息
In this work, we present an anomaly detection algorithm for wireless spectrum data and evaluate its ability to accurately detect interfering transmissions. The algorithm considers three types of interfering signals: a co-channel transmission, an interfering continuous-wave transmission, or an adversarial replay attack. At the core of each anomaly detector is a feature space transformation, which learns a compressed representation of the data, followed by various metrics on this representation. Four feature space transformations and four detection metrics are investigated, each of which represents different characterizations of the distribution of the data, totaling 16 configurations of the anomaly detector. Our algorithm is evaluated using Wi-Fi spectrum data from real-world radio frequency (RF) captures in both mild and harsh channel conditions. We present an analysis of the performance of the various configurations under each of the interference types at varying signal-to-interference ratios. Lastly, we discuss the implications of this performance on the the distribution of the data and the recommended model to detect each type of anomaly.
The photothermoelectric(PTE)effect enables efficient harvesting of the energy of photogenerated hot carriers and is a promising choice for high-efficiency photoelectric energy conversion and ***,the PTE effect was rep...
详细信息
The photothermoelectric(PTE)effect enables efficient harvesting of the energy of photogenerated hot carriers and is a promising choice for high-efficiency photoelectric energy conversion and ***,the PTE effect was reported in low-dimensional nanomaterials,suggesting the possibility of optimizing their energy conversion ***,the PTE effect becomes extremely inefficient in low-dimensional nanomaterials,owing to intrinsic disadvantages,such as low optical absorption and immature fabrication *** this study,a giant PTE effect was observed in lightly doped p-type silicon nanoribbons caused by photogenerated hot *** open-circuit photovoltage responsivity of the device was 3-4 orders of magnitude higher than those of previously reported PTE *** measured photovoltage responses fit very well with the proposed photothermoelectric multiphysics *** research proposes an application of the PTE effect and a possible method for utilizing hot carriers in semiconductors to significantly improve their photoelectric conversion efficiency.
暂无评论