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Chapter and Conference Paper
MVFAN: Multi-view Feature Assisted Network for 4D Radar Object Detection
4D radar is recognized for its resilience and cost-effectiveness under adverse weather conditions, thus playing a pivotal role in autonomous driving. While cameras and LiDAR are typically the primary sensors u...
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Chapter and Conference Paper
RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving
In this paper, we present RPF3D, an innovative single-stage framework that explores the complementary nature of point clouds and range images for 3D object detection. Our method addresses the sampling region imba...
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Article
Open AccessOptimizing fluidity and tensile strength of magnetically driven epoxy-cement repair materials based on response surface
Underwater crack repair is challenging due to drainage and exhaust, slurry retention at fixed points, and other issues. Magnetically driven epoxy resin cement slurry was developed, which can perform directiona...
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Article
Android malware adversarial attacks based on feature importance prediction
In the last decade, malicious Android applications have increased rapidly because of the popularity of Android mobile devices. In particular, some Android malware starts to use the adversarial examples generat...
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Chapter and Conference Paper
Design of Brake Disc Dust Cover Based on Multidisciplinary Optimization Method
Modal, stiffness, vibration durability and other multidisciplinary properties need to be considered in the structural design of brake disc dust cover
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Chapter and Conference Paper
Multi-objective Optimization of Motor Rotor Notches Based on Multi-Objective Particle Swarm Optimization
In response to the national carbon neutral strategy, the electric vehicle industry has developed rapidly in recent years, and users are increasingly concerned about the NVH performance of electric vehicles. In...
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Article
ECC-based lightweight authentication and access control scheme for IoT E-healthcare
The E-healthcare system has a complex architecture, diverse business types, and sensitive data security. To meet the secure communication and access control requirements in the user–medical server, user–patien...
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Article
Synchrotron-Based Temperature-Dependent Terahertz and Far-Infrared Spectroscopy of Aerographite and Single-Walled Carbon Nanotube Aerogel
Synchrotron-based terahertz and far-infrared spectra of aerographite and single-walled carbon nanotube aerogel were acquired using the terahertz/far-infrared beamline at the Australian Synchrotron in the frequ...
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Article
Geomorphic natural hazard on loess terrain: expansion on the gully sidewall
Gully sidewall expansion is an important geomorphic natural hazard, and the expansion destroys a large extent of agricultural land in the loess regions every year. The main aim of this study was to identify th...
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Article
Open AccessThe influence law of concrete aggregate particle size on acoustic emission wave attenuation
Elastic waves have different attenuation laws when propagating in various materials, which is one of the important challenges in the application of non-destructive testing methods, such as acoustic emission (A...
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Article
Scalar and Vector Evaluation Methods for Remaining Oil Potential of Water-Driven Reservoirs
In recent years, numerical simulation and streamline simulation methods have been commonly used for characterizing and evaluating oil reservoirs. The conventional characterization parameters include oil satura...
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Article
The impact of propagation delay to different selfish miners in proof-of-work blockchains
Selfish mining is an attack on the integrity of a blockchain network. Inspired by J. Göbel’s selfish mining model in the presence of propagation delay, we propose a competition model based on spatial Poisson p...
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Article
Open AccessEchinacoside exerts anti-tumor activity via the miR-503-3p/TGF-β1/Smad aixs in liver cancer
Echinacoside (ECH) is the main active ingredient of Cistanches Herba, which is known to have therapeutic effects on metastatic tumors. However, the effects of ECH on liver cancer are still unclear. This study was...
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Chapter and Conference Paper
The Study of the User Preferences of the Request Channel on Taking Over During Level-3 Automated Vehicles’ Driving Process
When a level-3 automated vehicle fails with an autonomous driving system or encounters an unmanageable traffic situation, the driver needs to control the vehicle to ensure driving safety. The transfer process ...
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Article
An actor-critic reinforcement learning-based resource management in mobile edge computing systems
Reinforcement learning (RL) as an effective tool has attracted great attention in wireless communication field nowadays. In this paper, we investigate the offloading decision and resource allocation problem in...
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Article
Open AccessExperimental study on evolution law for particle breakage during coal and gas outburst
Coal and gas outburst is a dynamic phenomenon in underground mining engineering that is often accompanied by the throwing and breakage of large amounts of coal. To study the crushing effect and its evolution d...
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Article
Automatically synthesizing DoS attack traces using generative adversarial networks
Artificial intelligence (AI) technology ruling people is still the scene in the science fiction film, but hackers using AI technology against existing security measures is an inescapable trend. Network intrusi...
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Article
Open AccessUnbiased transcriptomic analyses reveal distinct effects of immune deficiency in CNS function with and without injury
The mammalian central nervous system (CNS) is considered an immune privileged system as it is separated from the periphery by the blood brain barrier (BBB). Yet, immune functions have been postulated to heavil...
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Chapter and Conference Paper
A DDoS Detection and Mitigation System Framework Based on Spark and SDN
Distributed Denial of Service (DDoS) attack is a serious threat to commercial service network. DDoS attack has been studied for years. However, detecting and relieving DDoS attacks are still a problem. Especia...
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Article
Application of integrated ARIMA and RBF network for groundwater level forecasting
The combination model of autoregressive integrated moving average (ARIMA) and radial basis function network (RBFN) is used for the prediction of monthly groundwater level. The ARIMA model is used to estimate t...
