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Chapter and Conference Paper
A Low-Latency Hardware Accelerator for YOLO Object Detection Algorithms
Object detection is an important computer vision task with a wide range of applications, including autonomous driving, smart security, and other domains. However, the high computational requirements poses chal...
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Chapter and Conference Paper
Study on the Genetic Links Between Type 2 Diabetes Mellitus and Glioma by Bioinformatics
Diabetes will increase the risk of most cancers, such as pancreatic, breast and prostate cancer. However, some studies showed patients with diabetes are less susceptible to glioma than the people with normal b...
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Chapter and Conference Paper
Blockchain Scam Detection: State-of-the-Art, Challenges, and Future Directions
With the rapid development of blockchain platforms, such as Ethereum and Hyperledger Fabric, blockchain technology has been widely applied in various domains. However, various scams exist in the cryptocurrency...
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Chapter and Conference Paper
Low-hysteresis Flexible Strain Sensors Based on Liquid Metal for Human-Robot Interaction
Flexible strain sensors have aroused great interest in the fields of human-machine interaction, human motion detection, and wearable devices. However, develo** flexible strain sensors with low hysteresis, la...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
The Service Design of Medication Administration System Based on IoT
Medication is the most common way for patients to combat illness, and following the doctor’s advice on taking medication has a tremendous impact on a patient’s healing speed. But due to a variety of conditions...
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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
Threshold-Dependent Joint Bilateral Filter Algorithm for Enhancing 3D Gated Range-Intensity Correlation Imaging
Three-dimensional gated range-intensity correlation imaging (GRICI) can acquire three-dimensional information of targets with high range resolution in real time. In practical applications, the intensity distri...
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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
Computer-Based Attention Training Improves Brain Cognitive Control Function: Evidences from Event-Related Potentials
The present study explored the mechanism of attention bias modification (ABM) on Social Anxiety Disorder (SAD). The participants were assigned into training group (attention modification program, AMP) or atten...
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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
Trajectory Tracking Control of a 7-Axis Robot Arm Using SMCSPO
Multi-axis-robots have been wildly used in industry for soldering, plasma cutting with an indirect contact without high disturbance. However, recently, the multi axis robot is designed for a direct contact wor...
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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
Path Planning of Maritime Autonomous Surface Ships in Unknown Environment with Reinforcement Learning
Recently, artificial intelligence algorithms represented by reinforcement learning and deep learning have promoted the development of autonomous driving technology. For the ship** industry, research and deve...
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Chapter and Conference Paper
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results
In this paper, we describe the Perceptual Image Restoration and Manipulation (PIRM) workshop challenge on spectral image super-resolution, motivate its structure and conclude on results obtained by the partici...
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Chapter and Conference Paper
A Research of Network Applications Classification Based on Deep Learning
Nowadays, the huge traffic generated by a growing number of network applications occupies enormous network bandwidth and increases the burden of network management. The ability to identify and categorize netwo...