260 Result(s)
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Chapter and Conference Paper
Exploring the Establishment and Implementation of a Teaching Evaluation System Based on Value-Added Assessment
Value-added assessment (VAA) can effectively solve the existing problems of the excess of outcome-oriented evaluations and the lack of teaching evaluation feedback mechanisms in higher education, which plays a...
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Chapter and Conference Paper
Highway: A Super Pipelined Parallel BFT Consensus Algorithm for Permissioned Blockchain
Blockchain technology has recently received widespread attention from academia and industry, and its application scenarios have expanded from digital currency to all walks of life. However, as a crucial compon...
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Chapter and Conference Paper
Overlap** Community Discovery Algorithm Based on Three-Level Neighbor Node Influence
In view of the high time complexity of the current overlap** community discovery algorithm and the low stability, an overlap** community discovery algorithm OCDITN based on three-level neighbor influence i...
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Chapter and Conference Paper
Visual Monitoring Method of Digital Computer Room Based on Digital Twin
With the rapid development of the Internet of things, big data, artificial intelligence and other new generation information technologies, more and more information technologies are applied in actual productio...
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Chapter and Conference Paper
Data Reconstruction from Gradient Updates in Federated Learning
Federated learning has become an emerging technology to protect data privacy in the distributed learning area, by kee** each client user’s data locally. However, recent work shows that client users’ data mig...
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Chapter and Conference Paper
Data Leakage with Label Reconstruction in Distributed Learning Environments
Distributed learning is commonly applied for the high demands of computation resources while training models with large-scale data. However, existing solutions revealed that it may lead to information leakage ...
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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
PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal Fundus Photography
Retinal-related diseases are the leading cause of vision loss and even blindness. The automatic methods for retinal disease segmentation based on medical images are essential for timely treatment. Fully superv...
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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
Efficient and Secure Outsourced Image Watermarking in Cloud Computing
Image watermark has played an important role in image copyright protection. With the development of cloud computing in recent years, more and more people are willing to outsource the watermark embedding proces...
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Chapter and Conference Paper
An Underwater Image Color Correction Algorithm Based on Underwater Scene Prior and Residual Network
Color distortion in underwater scenes affect the accuracy of pattern recognition, visual understanding and key feature extraction work of underwater robots. In this paper, we propose a method to correct color ...
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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
BDCuckoo: an Efficient Cuckoo Hash for Block Device
Hash is widely used in various storage systems due to its excellent insertion and search performance. However, existing hash designs are not friendly for block devices because they will generate a lot of rando...
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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...