24 Result(s)
within
Conference Paper
Dong-**ng Wang
English
Information Systems Applications (incl. Internet)
Special Purpose and Application-Based Systems
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Chapter and Conference Paper
A Novel High-Performance Implementation of CRYSTALS-Kyber with AI Accelerator
Public-key cryptography, including conventional cryptosystems and post-quantum cryptography, involves computation-intensive workloads. With noticing the extraordinary computing power of AI accelerators, in thi...
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Chapter and Conference Paper
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Single Object Tracking is the third annual UAV tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer Vision (ECC...
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Chapter and Conference Paper
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results
The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 chal...
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Chapter and Conference Paper
Non-invasive Sleep Assistance System Design Based on IoT
With the accelerated pace of life in modern society, various sleep problems have become increasingly prominent and spread to younger groups. Meanwhile, people are beginning to accept the use of IoT products t...
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Chapter and Conference Paper
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algori...
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Chapter and Conference Paper
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Multiple Object Tracking (MOT) is the third annual UAV MOT tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer...
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Chapter and Conference Paper
Application of Growth Curve in Agricultural Scientific Research
This paper introduces the application of logistic curve in agricultural science, and gives a division method of parameter estimation of logistic curve. Because the logistic curve contains three parameters, it ...
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Chapter and Conference Paper
China’s Wine Import Industry: An Economic Analysis of Influencing Trade Factors
In recent years, China is undergoing a huge economic transformation since joining in World Trade Organization (WTO) and it has showed an increasing demand for wine. As China’s wine consumption market is increa...
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Chapter and Conference Paper
Urban Data Acquisition Routing Approach for Vehicular Sensor Networks
Vehicular sensor networks have emerged as a new wireless sensor network paradigm that is envisioned to revolutionize the human driving experiences and traffic control systems. Like conventional sensor networks...
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Chapter and Conference Paper
The Study of the Work Parameters of the Corn Harvester Cutter
In this paper, the analytical method of multivariate variance is applied to study the function of the various performance factors of the straight-edge cylindrical cutter. Research results indicate that the mai...
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Chapter and Conference Paper
An Advanced Version of MDNet for Visual Tracking
Tracking-by-detection is an effective framework for visual tracking tasks. For example, the Multi-Domain Convolution Neural Network (MDNet) achieves outstanding results in multiple benchmarks. However, the t...
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Chapter and Conference Paper
Effects of Exogenous Gamma-Aminobutyric Acid on Absorption and Regulation of Ion in Wheat Under Salinity Stress
Gamma-aminobutyric acid (GABA), a four-carbon non-protein amino acid, is a significant component of the free amino acid pool, there are numerous reports that rapid and large increases in GABA levels occur in p...
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Chapter and Conference Paper
Enhanced LSTM with Batch Normalization
Recurrent neural networks (RNNs) are powerful models for sequence learning. However, the training of RNNs is complicated because the internal covariate shift problem, where the input distribution at each iter...
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Chapter and Conference Paper
Gated Contiguous Memory U-Net for Single Image Dehazing
Single image dehazing is a challenging problem that aims to recover a high-quality haze-free image from a hazy image. In this paper, we propose an U-Net like deep network with contiguous memory residual blocks...
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Chapter and Conference Paper
A Novel Anomaly Detection Algorithm Based on Trident Tree
In this paper, we propose a novel anomaly detection algorithm, named T-Forest, which is implemented by multiple trident trees (T-trees). Each T-tree is constructed recursively by isolating the data outside of 3 s...
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Chapter and Conference Paper
Over-Sampling Algorithm Based on VAE in Imbalanced Classification
The imbalanced classification problem is a problem that violates the assumption of uniform distribution of samples, classes differ in sample size, sample distribution and misclassification cost. The traditiona...
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Chapter and Conference Paper
An Improved Measurement of the Imbalanced Dataset
Imbalanced classification is a classification problem that violates the assumption of uniform distribution of samples. In such problems, traditional imbalanced datasets are measured in terms of the imbalance o...
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Chapter and Conference Paper
LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering
The last decade has witnessed a rapid development of the ensemble clustering technique. Despite the great progress that has been made, there are still some challenging problems in the ensemble clustering resea...
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Chapter and Conference Paper
A Hybrid Approach for Recovering Information Propagational Direction
With the rapid development of network technology, people are communicating with each other through a variety of network access, such as computer, mobile phone, tablet, etc., for the sharing of information and ...
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Chapter and Conference Paper
Low-Rank and Sparse Matrix Completion for Recommendation
Recently, recommendation algorithms have been widely used to improve the benefit of businesses and the satisfaction of users in many online platforms. However, most of the existing algorithms generate intermed...
