51 Result(s)
within
Conference Paper
Hao Guo
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Chapter and Conference Paper
Experimental Investigation on the Circular Cylindrical Cavity Noise at the Locked-on State
In the locked-on state, the ratio of resonant frequency to the fundamental frequency of self-sustained oscillation is suggested to play a key role in predicting the dominant tonal noise for the square cavity. ...
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Chapter and Conference Paper
Experimental Investigation on Facing Rim Cavities by Filling Treatments
An experiment on a 1/2 scaled simplified nose landing gear configuration of the LAGOON project is conducted in D5 aero-acoustic wind tunnel with the aim to explore the mechanism of the tonal noise generated by...
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Chapter and Conference Paper
An Empirical Study of Attention Networks for Semantic Segmentation
Semantic segmentation is a vital problem in computer vision. Recently, a common solution to semantic segmentation is the end-to-end convolution neural network, which is much more accurate than traditional meth...
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Chapter and Conference Paper
Experimental Investigation on the Flow-Induced Oscillation in Deep Cavity and the Controlling Effect Using Wedge Spoiler
Flow-induced oscillation is an important phenomenon in cavity flow. It will produce strong aeroacoustic noise and radiate to the far-filed with limited attenuation. Through various approaches, the flow-induced...
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Chapter and Conference Paper
Practical and Theoretical Cryptanalysis of VOX
VOX is a UOV-like hash-and-sign signature scheme from the Multivariate Quadratic (MQ) family, which has been submitted to NIST Post-Quantum Cryptography Project, in response to NIST’s Call for Additional Digit...
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Chapter and Conference Paper
Construction of a Cost Design and Control System Based on MBSE
Although scholars have conducted extensive research on cost-oriented design theory and methodology, there is still a lack of research on effectively combining it with new-generation information and digital tec...
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Chapter and Conference Paper
PFGE: Parsimonious Fast Geometric Ensembling of DNNs
Ensemble methods are commonly used to enhance the generalization performance of machine learning models. However, they present a challenge in deep learning systems due to the high computational overhead requir...
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Chapter and Conference Paper
Simulation Studies on Sonar Target Resolving Based on Conventional Beamforming Method
The model of sonar target resolving directly affects the sonar detection capability in the simulation of parameter-level underwater detection. In this paper, by analyzing the principle of sonar target resolvin...
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Chapter and Conference Paper
A Visual-Based Aircraft Pose Estimation Method During Take-Off
In this paper, we propose a visual-based aircraft pose estimation method, and this method can provide positioning and navigation for the aircraft during the autonomous take-off phase. Using images obtained by ...
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Chapter and Conference Paper
Optimization of 3D Trajectory of UAV Patrol Inspection Transmission Tower Based on Hybrid Genetic-Simulated Annealing Algorithm
Using a single heuristic algorithm to optimize the trajectory of a UAV (unmanned aerial vehicle) patrol inspection transmission tower body and accessories will result in trajectories overlap** and easily fal...
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Chapter and Conference Paper
Iterative Deep Graph Learning with Local Feature Augmentation for Network Alignment
Networks are structures that naturally capture relations between entities in different data sources and information systems. To establish the connections among different networks, the task of network alignment...
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Chapter and Conference Paper
Algebraic Relation of Three MinRank Algebraic Modelings
We give algebraic relations among equations of three algebraic modelings for MinRank problem: support minors modeling, Kipnis–Shamir modeling and minors modeling.
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Chapter and Conference Paper
Crew Rostering Problem with Fatigue Balance
The crew rostering problem is one of the most important problems in the operation of airlines. Crew rostering is the process of assigning pairings to eligible crew members. This paper analyzes the factors to a...
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Chapter and Conference Paper
IoT Data Blockchain-Based Transaction Model Using Zero-Knowledge Proofs and Proxy Re-encryption
While IoT devices provide people with richer and more complete services, they also generate a large amount of device data. The potential value of these data has spawned IoT data transactions. In the blockchain...
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Chapter and Conference Paper
An Empirical Study on the Enhancement of Internal and External Corporate Social Responsibility on Employees’ Advocacy Behavior
Based on a survey of 333 employees, we examine the impact mechanism of employees’ perception of internal and external corporate social responsibility (CSR) on employee advocacy. The research results show that ...
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Chapter and Conference Paper
Design of Automatic Control System for Indoor Lighting
With the development of science and technology, the waste of indoor power is relatively serious, ...
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Chapter and Conference Paper
Infrared Object Detection Algorithm Based on Spatial Feature Enhancement
Focusing on the problems of CenterNet in infrared images, such as feature loss and insufficient information utilization, an improved algorithm based on spatial feature enhancement is proposed. Firstly, a frequ...
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Chapter and Conference Paper
Approximation Algorithms for Reliability-Aware Maximum VoI on AUV-Aided Data Collections
Underwater Wireless Sensor Networks (UWSNs) show great potential in ocean exploration on data collection. Recently, with the increasing amount of underwater sensed data, the Autonomous Underwater Vehicle (AUV)...
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Chapter and Conference Paper
Link-Efficiency Multi-channel Transmission Protocol for Data Collection in UASNs
With the burgeoning of underwater Internet of things, the amount of data generated by sensor nodes increases dramatically in UASNs, requiring efficient data collection schemes. The data collection process main...
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Chapter and Conference Paper
AreaTransfer: A Cross-City Crowd Flow Prediction Framework Based on Transfer Learning
Urban transfer learning transfers knowledge from the data-rich city to the data-scarce city, effectively solving the cold-start crowd flow prediction problem. In urban transfer learning, the selection of sourc...
