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Chapter and Conference Paper
Multi-layer Cross-Scale Coupling Feature Pyramid Network for Food Logo Detection
Food logos typically serve as a visual representation of a food brand or product by using unique and recognizable images or graphics that are related to the brand or product, such as food items, utensils, or c...
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Chapter and Conference Paper
Fabric Smart Contract Read-After-Write Risk Detection Method Based on Key Methods and Call Chains
Fabric is currently the most popular consortium chain platform with a modular architecture that provides high security, elasticity, flexibility and scalability. Smart contracts realize the automatic execution ...
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Chapter and Conference Paper
Investigation of Pumped Storage Power Station Construction Conditions in Guangdong Province
With the determination of China’s “carbon peaking and carbon neutrality goals”, a large number of pumped storage power stations will be planned to be built in Guangdong Province in the next 10–15 years. This p...
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Chapter and Conference Paper
Evolution of Building Information Modelling (BIM) Policy: The Case of Hong Kong
Around the world many governments are increasingly pushing for wide-scale adoption of Building Information Modelling (BIM) in the architecture, engineering, and construction (AEC) industry. Central to this dri...
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Chapter and Conference Paper
Research on Data Fault-Tolerance Method Based on Disk Bad Track Isolation
Disk is not only an important carrier to save data, but also a key component of storage system. It is of great significance to improve the reliability and data availability of disk. In the big data environment...
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Chapter and Conference Paper
Improved Efficient Dictionary Learning with Cross-Label and Group Regularization
Existing works have revealed that dictionary learning can effectively preserve the label property when applied to signal reconstruction and face recognition. As time goes, the methods based on dictionary learn...
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Chapter and Conference Paper
DeLTR: A Deep Learning Based Approach to Traffic Light Recognition
Traffic light recognition is crucial for the intelligent driving system. In the application scenarios, the environment of traffic lights is very complicated, due to different weather, distance and distortion ...
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Chapter and Conference Paper
Research on the Relationship Between Sound and Speed of a DC Motor
It is a common phenomenon that when a motor runs, there is a sound. In addition, when the motor accelerates or decelerates, the sound changes. The underlying reason is surmised to be that the speed is a comple...
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Chapter and Conference Paper
Design and Implementation of PCB Detection and Classification System Based on Machine Vision
In this paper, an optimization method, which uses the combination of machine vision and automatic technology, is proposed and applied to the process of defect detection and classification of PCB. This study fo...
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
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Chapter and Conference Paper
Numerical Instability Study of Supercritical Water Flowing Upward in Two Heated Parallel Channels
A three-dimensional (3D) numerical simulation has been carried out using a RANS model in CFD ANSYS CFX v15.0 to investigate the out of phase oscillation instability between two heated parallel channels with su...
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Chapter and Conference Paper
SCVD: A New Semantics-Based Approach for Cloned Vulnerable Code Detection
The behavior of copying existing code to reuse or modify its functionality is very common in the software development. However, when developers clone the existing code, they also clone any vulnerabilities in i...
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Chapter and Conference Paper
Updatable Lossy Trapdoor Functions and Its Application in Continuous Leakage
Lossy trapdoor functions (LTFs) were firstly introduced by Peikert and Waters [2]. Since their introduction, LTFs have found numerous applications. In this paper we focus on the LTFs in the continuous leakage. We...
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Chapter and Conference Paper
Image Retrieval of Poisonous Mushrooms Based on Relevance Feedback and Clustering Algorithm
Poisonous mushrooms have no significant difference with the edible fungus. In this paper, image retrieval technology based on color, shape and texture characteristic are applied to identify poisonous mushrooms...
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Chapter and Conference Paper
Solution of the Glare Risk in Vehicle Inner Trim Designing
With the trend of vehicle inner trim design develo**, quantities of highlight materials and auto amusement equipments are applied such as chrome-plate and DVD cruise system. The fashionable stuffs mentioned ...
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Chapter and Conference Paper
Research on College English Autonomous Learning Mode Based on Computer Networks
College English autonomous learning mode based on computer networks is the development trend of college English teaching reform. In the paper, the college English autonomous learning mode based on computer net...
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Chapter and Conference Paper
Analysis and Construction of Efficient RFID Authentication Protocol with Backward Privacy
Privacy of RFID systems is receiving increasing attentions in the RFID community and an important issue required as to the security of RFID system. Backward privacy means the adversary can not trace the tag la...
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Chapter and Conference Paper
Experiment Analysis on the Bubble Sort Algorithm and Its Improved Algorithms
We present a robust framework for the estimation of surface curvature on conformal alpha shapes. We propose a data structure for conformal alpha shape based on alpha shape, present a method to compute conforma...
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Chapter and Conference Paper
Digital and Analog Compatible TV Transmitter Power Measurement
The transmission power of analog TV transmitter is always measured as visual peak power, that is, the power level reaches while the synchronizing pulses are being transmitted, and so ordinary power meter canno...
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Chapter and Conference Paper
Using Variable Precision Rough Set Model to Build FP-Tree of Association Rules
The main mission of the variable precision rough set is to solve the problem of non-functional of properties or the classification in uncertain relationship data. FP-TREE of Association rule is one of the impo...