85 Result(s)
within
Chapter
Conference Paper
Yi**ang Chen
Computer Communication Networks
Information Systems and Communication Service
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Chapter and Conference Paper
An Efficient Transformer Inference Engine on DSP
The transformer is one of the most important algorithms in the Natural Language Processing(NLP) field and widely used in computer vision recently. Due to the huge computation requirements, the current transfor...
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Chapter and Conference Paper
Methodology-Driven Characteristics of Scientific Research Collaboration Networks in the Field of Economic Management: Mining and Analysis Based on Big Data
Objective: Research takes the methodological knowledge in the full text of academic literature as a knowledge production element, and divides it into four categories: Theory &Method, Data, Model, and Tool & Softw...
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Chapter and Conference Paper
Research on Optimization of Fuzzing Test of Unknown Protocol Based on Message Type
In recent years, due to the large number of unknown protocols, it is necessary to study the security of unknown protocols. IFuzzing is a universal method that can be used to study unknown protocols. In unknown...
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Chapter and Conference Paper
A Survey of Domain Generalization-Based Face Anti-spoofing
In recent years, remarkable research attention has been attracted to improve the generalization ability of face anti-spoofing methods, and domain generalization techniques have been widely exploited for adapti...
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Chapter and Conference Paper
PM2.5 Concentration Prediction Based on mRMR-XGBoost Model
Air pollution is one of the main environmental pollution, in which air pollution component prediction is an important problem. At present, there have been many studies using machine learning methods to predict...
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Chapter and Conference Paper
Survey on Deep Learning Based Fusion Recognition of Multimodal Biometrics
We take multimodal as a new research paradigm. This research paradigm is based on the premise that all human interactions with the outside world required the support of multimodal sensory systems. Deep learnin...
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Chapter and Conference Paper
Deep Reinforcement Learning Based Mimicry Defense System for IoT Message Transmission
With the development of 5G and Internet of Everything, IoT has become an essential network infrastructure. The connection between massive devices brings huge convenience and effectiveness, also introducing mor...
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Chapter and Conference Paper
A Dynamic Migration Strategy of SDN Controllers in LEO Networks
Multiple low earth orbit (LEO) satellites form a constellation that can construct the network to achieve full coverage of the ground. However, the topology of the LEO satellite network is highly dynamic, and e...
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Chapter and Conference Paper
Visual Research and Predictive Analysis of Land Resource Use Type Change
Land cover change is a hot topic in the interdisciplinary research of global change and land science. The existing spatial visualization methods based on remote sensing images have the advantages of wide detec...
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Chapter and Conference Paper
Image Magnification Network for Vessel Segmentation in OCTA Images
Optical coherence tomography angiography (OCTA) is a novel non-invasive imaging modality that allows micron-level resolution to visualize the retinal microvasculature. The retinal vessel segmentation in OCTA i...
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Chapter and Conference Paper
State Machine Inference Method of Unknown Binary Protocol Based on Recurrent Neural Network
The state machine of binary protocol can effectively reflect the behavior characteristics of the protocol, and its inference results are often not highly influenced by the protocol format information and logic...
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Chapter and Conference Paper
Unpaired and Self-supervised Optical Coherence Tomography Angiography Super-Resolution
Optical coherence tomography angiography (OCTA) is usually used to observe the blood flow information of retina and choroid. It is meaningful for clinicians to observe more microvascular details by enhancing t...
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Chapter and Conference Paper
Information Lossless Multi-modal Image Generation for RGB-T Tracking
Visible-Thermal infrared(RGB-T) multimodal target representation is a key issue affecting RGB-T tracking performance. It is difficult to train a RGB-T fusion tracker in an end-to-end way, due to the lack of an...
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Chapter and Conference Paper
Fair Food Delivery Trading System Based on Edge Computing and Stackelberg Game
Recent years have witnessed Food-as-a-Service (FaaS) facing challenges in delivery pricing. FaaS platform collects orders from restaurants and distributes them to delivery man (DM). The fairness of the pricing...
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Chapter and Conference Paper
HotLT: LT Code-Based Secure and Reliable Consortium Blockchain Storage Systems
The consortium blockchain is deployed in many key industries because decentralization is irreversible and traceable. However, the storage system of the alliance chain usually adopts a full copy method, which l...
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Chapter and Conference Paper
An Energy-Efficient Dynamic Spectrum Access Approach for Internet of Things Applications
Energy efficiency has become the main problem of the communication network for sustainable development. The highly energy-efficient communication has become research focus and hotspot. Traditional network desi...
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Chapter and Conference Paper
Community Detection Based on Deep Network Embedding with Dual Self-supervised Training
We propose a community discovery method based on deep auto-encoding (DGAE_DST). Firstly, we use the pre-trained two-layer neural network and k-means algorithm to initialize the centroid vector, and then use th...
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Chapter and Conference Paper
Fine-Grained Diagnosis Method for Microservice Faults Based on Hierarchical Correlation Analysis
With the expansion of application scale, the dependence of microservices becomes more and more complex, which makes it difficult to accurately locate the root cause of failure. At present, many microservices f...
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Chapter and Conference Paper
A New End-To-End Network Traffic Reconstruction Approach Based on Different Time Granularities
End-to-end network traffic is an important input parameter for network planning and network monitoring, which plays an important role in network management and design. This paper proposes a new end-to-end netw...
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Chapter and Conference Paper
Rate-Compatible Shortened Polar Codes Based on RM Code-Aided
The minimum Hamming distance is not considered for the traditional rate-compatible shortened polar (RCSP) codes, which may cause performance degradations. In this paper we propose a hybrid algorithm to constru...
