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View article: Optical Computing with Spectrally Multiplexed Features in Complex Media
Optical Computing with Spectrally Multiplexed Features in Complex Media Open
Artificial intelligence (AI) has rapidly evolved into a critical technology; however, electrical hardware struggles to keep pace with the exponential growth of AI models. Free space optical hardware provides alternative approaches for larg…
View article: Diagnostic Bayesian network in building energy systems: Current insights, practical challenges, and future trends
Diagnostic Bayesian network in building energy systems: Current insights, practical challenges, and future trends Open
View article: Fault detection and diagnosis for heat recovery ventilation using 4S3F method: impact of diverse sensor configurations
Fault detection and diagnosis for heat recovery ventilation using 4S3F method: impact of diverse sensor configurations Open
View article: Diagnostic Bayesian Networks for Whole-Building Fault Detection and Diagnosis: Development, Experimental Evaluation and Testing during Operation
Diagnostic Bayesian Networks for Whole-Building Fault Detection and Diagnosis: Development, Experimental Evaluation and Testing during Operation Open
View article: Numerical Investigation of Shock Train Characteristics in the Isolator of Rotating Detonation Ramjet Engine Under the Influence of Incident Shock Waves
Numerical Investigation of Shock Train Characteristics in the Isolator of Rotating Detonation Ramjet Engine Under the Influence of Incident Shock Waves Open
View article: Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment
Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment Open
Modern deep learning relies nearly exclusively on dedicated electronic hardware accelerators. Photonic approaches, with low consumption and high operation speed, are increasingly considered for inference but, to date, remain mostly limited…
View article: Noisy Computing of the Threshold Function
Noisy Computing of the Threshold Function Open
Let $\mathsf{TH}_k$ denote the $k$-out-of-$n$ threshold function: given $n$ input Boolean variables, the output is $1$ if and only if at least $k$ of the inputs are $1$. We consider the problem of computing the $\mathsf{TH}_k$ function usi…
View article: A deep learning-based approach for flow field prediction in a dual-mode combustor
A deep learning-based approach for flow field prediction in a dual-mode combustor Open
Accurate acquisition of the distribution of flow parameters inside the supersonic combustor is of great significance for hypersonic flight control. It is an interesting attempt to introduce a data-driven model to a supersonic combustor for…
View article: Effect of expansion waves on cowl shock wave and boundary layer interaction in hypersonic inlet
Effect of expansion waves on cowl shock wave and boundary layer interaction in hypersonic inlet Open
The interaction of cowl shock wave and boundary layer has a crucial effect on the stability, operability and performance of hypersonic inlets. Many studies on inhibiting the separation and managing the strength of the interaction of the sh…
View article: A Review of Bayesian Network for Fault Detection and Diagnosis: Practical Applications in Building Energy Systems
A Review of Bayesian Network for Fault Detection and Diagnosis: Practical Applications in Building Energy Systems Open
View article: Noisy Computing of the $\mathsf{OR}$ and $\mathsf{MAX}$ Functions
Noisy Computing of the $\mathsf{OR}$ and $\mathsf{MAX}$ Functions Open
We consider the problem of computing a function of $n$ variables using noisy queries, where each query is incorrect with some fixed and known probability $p \in (0,1/2)$. Specifically, we consider the computation of the $\mathsf{OR}$ funct…
View article: Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation
Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation Open
Graph alignment refers to the task of finding the vertex correspondence between two correlated graphs of $n$ vertices. Extensive study has been done on polynomial-time algorithms for the graph alignment problem under the Erdős-Rényi graph …
View article: Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data
Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data Open
ive text summarization is to generate concise summaries that well preserve both salient information and the overall semantic meanings of the given documents. However, real-world documents, e.g., financial reports, generally contain rich da…
View article: A deep learning approach for velocity field prediction in a scramjet isolator from Schlieren images
A deep learning approach for velocity field prediction in a scramjet isolator from Schlieren images Open
Accurate measurements of physical parameters in a scramjet isolator are very important to promote the design and optimization of the isolator and even the scramjet. In a ground experiment, limited by the inherent characteristics of measure…
View article: On the Optimal Bounds for Noisy Computing
On the Optimal Bounds for Noisy Computing Open
We revisit the problem of computing with noisy information considered in Feige et al. 1994, which includes computing the OR function from noisy queries, and computing the MAX, SEARCH and SORT functions from noisy pairwise comparisons. For …
View article: Exploring public attention and sentiment toward carbon neutrality: evidence from Chinese social media Sina Weibo
Exploring public attention and sentiment toward carbon neutrality: evidence from Chinese social media Sina Weibo Open
Introduction Exploring the public’s cognition toward carbon neutrality is conducive to improving the quality and effectiveness of policymaking, and promoting the realization of carbon neutrality goals. This study aims to explore the public…
View article: Noisy Sorting Without Searching: Data Oblivious Sorting with Comparison Errors
Noisy Sorting Without Searching: Data Oblivious Sorting with Comparison Errors Open
We provide and study several algorithms for sorting an array of n comparable distinct elements subject to probabilistic comparison errors. In this model, the comparison of two elements returns the wrong answer according to a fixed probabil…
View article: A Bayesian data assimilation method to enhance the time sequence prediction ability of data-driven models
A Bayesian data assimilation method to enhance the time sequence prediction ability of data-driven models Open
The generalization ability and robustness of data-driven models deteriorate when samples are scarce or input features are outside the training sample space. This research focuses on building a data assimilation (DA) framework that embeds t…
View article: Noisy Sorting Capacity
Noisy Sorting Capacity Open
Sorting is the task of ordering $n$ elements using pairwise comparisons. It is well known that $m=Θ(n\log n)$ comparisons are both necessary and sufficient when the outcomes of the comparisons are observed with no noise. In this paper, we …
View article: Informal Economy and Institutional Quality
Informal Economy and Institutional Quality Open
This paper examines the relationship between different dimensions of institutional quality and informal sector size using a large dataset covering 140 countries. It included the most recent data (from the year 2019) of informal sector size…
View article: On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment
On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment Open
Graph alignment aims at finding the vertex correspondence between two correlated graphs, a task that frequently occurs in graph mining applications such as social network analysis. Attributed graph alignment is a variant of graph alignment…
View article: Control-Oriented Modeling for Nonlinear MIMO Turbofan Engine Based on Equilibrium Manifold Expansion Model
Control-Oriented Modeling for Nonlinear MIMO Turbofan Engine Based on Equilibrium Manifold Expansion Model Open
This paper investigates the control-oriented modeling for turbofan engines. The nonlinear equilibrium manifold expansion (EME) model of the multiple input multiple output (MIMO) turbofan engine is established, which can simulate the variat…
View article: Throttling process of a supersonic cascade studied by high-frequency response pressure and high-speed schlieren
Throttling process of a supersonic cascade studied by high-frequency response pressure and high-speed schlieren Open
View article: Data-driven super-resolution reconstruction of supersonic flow field by convolutional neural networks
Data-driven super-resolution reconstruction of supersonic flow field by convolutional neural networks Open
The pursuit of high-resolution flow fields is meaningful for the development of hypersonic technology. Flow field super-resolution (SR) based on deep learning is a novel and effective method to provide HR flow fields in a scramjet isolator…
View article: Propagation of shock-wave/boundary-layer interaction unsteadiness in attached and separated flows
Propagation of shock-wave/boundary-layer interaction unsteadiness in attached and separated flows Open
The origin and propagation of low-frequency shock oscillation unsteadiness in the attached and separated flows are investigated. Wind tunnel experiments are performed in an isolator at Mach 1.85 and 2.7 with three types of upstream wedges,…
View article: Flow field reconstruction and prediction of the supersonic cascade channel based on a symmetry neural network under complex and variable conditions
Flow field reconstruction and prediction of the supersonic cascade channel based on a symmetry neural network under complex and variable conditions Open
A data-driven model containing a symmetrical deep neural network is proposed to reconstruct the flow field structure in a cascade channel by measuring discrete pressure values on the wall of the supersonic cascade channel. The model design…
View article: Experimental investigation of the throttling process and oscillation mechanism in a supersonic cascade
Experimental investigation of the throttling process and oscillation mechanism in a supersonic cascade Open
The structure and oscillation characteristics of the shock train during steady and oscillatory flows in a supersonic cascade was experimentally studied. The study was based on the SAV21 supersonic cascade designed by the German Aerospace C…