138 Result(s)
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Chapter and Conference Paper
Weaving Tectonics: Algorithmically Optimised Robotic FRP Weaving of Large Scale Planar Forms
Steel reinforced concrete is a widely used material for constructing large spanning planar building elements due to its strength, durability, and low cost, but its environmental impact, long fabrication time, ...
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Chapter and Conference Paper
An Exploration on the Form Design of Movable Structures Based on Uniform Convex Polyhedral Expansion
5 kinds of regular polyhedra and 13 kinds of semi-regular polyhedra are taken as the main research objects in this paper to explore the form design method of polyhedral expansion through the rotation of polygo...
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Chapter and Conference Paper
User Preference Toward Appearance of Mobile Input Method Editor Based on Kansei Engineering
This study aimed to research the relationship between input method skin elements, kansei words and users’ preferences, optimize the input method skin design and improve users’ satisfaction. The input method sk...
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Chapter and Conference Paper
Correction to: Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification
In a former version of this paper, the CERNET Innovation Project (NGII20190621) was missing from the Acknowledgement section. This has been corrected.
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Chapter and Conference Paper
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms
Asking questions is one of the most crucial pedagogical techniques used by teachers in class. It not only offers open-ended discussions between teachers and students to exchange ideas but also provokes deeper ...
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Chapter and Conference Paper
MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data
Feature engineering usually needs to excavate dense-and-implicit cross features from multi-filed sparse data. Recently, many state-of-the-art models have been proposed to achieve low-order and high-order feat...
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Chapter and Conference Paper
AR Assisted Process Guidance System for Ship Block Fabrication
The hull structure of the ship block is complex and the number of its constituted components is very large. In order to reduce the rework of the construction process, an augmented reality (AR) assisted informa...
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Chapter and Conference Paper
Link-Based Cluster Ensemble Method for Improved Meta-clustering Algorithm
Ensemble clustering has become a hot research field in intelligent information processing and machine learning. Although significant progress has been made in recent years, there are still two challenging issu...
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Chapter and Conference Paper
Automatic Dialogic Instruction Detection for K-12 Online One-on-One Classes
Online one-on-one class is created for highly interactive and immersive learning experience. It demands a large number of qualified online instructors. In this work, we develop six dialogic instructions and he...
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Chapter and Conference Paper
Siamese Neural Networks for Class Activity Detection
Classroom activity detection (CAD) aims at accurately recognizing speaker roles (either teacher or student) in classrooms. A CAD solution helps teachers get instant feedback on their pedagogical instructions. ...
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Chapter and Conference Paper
Highly Parallel SPARQL Engine for RDF
In this paper, a highly parallel batch processing engine is designed for SPARQL queries. Machine learning algorithms were applied to make time predictions of queries and reasonably group them, and further make...
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Chapter and Conference Paper
Forecasting the Subway Volume Using Local Linear Kernel Regression
Entrusted by the Kaohsiung Rapid Transit Corporation (KRTC), this study attempts to devise a more effective methodology to forecast the passenger volume of the subway system in the city of Kaohsiung, Taiwan. ...
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Chapter and Conference Paper
Customer Inspiration via Advertising Value of Pop-Up Ads in Online Games
Pop-up ads in online gaming is an emerging phenomenon on the internet that provide massive opportunities for business enterprises. Despite its importance for any businesses, do gamers get inspired by pop-up a...
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Chapter and Conference Paper
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results
Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance. However, the lack o...
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Chapter and Conference Paper
Optimization and Simulation of Fertilizer Guide Device Parameters Based on EDEM Software
In order to match the fertilizer line and seed line, fertilizer application should be homogeneous enough. A new fertilizer guide device was designed. It was consisted of fertilizer guide groove, shunted parts ...
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Chapter and Conference Paper
Characteristics of the Warming Trend During Winter Wheat Growing Seasons in Jiangsu Province of China
Global warming has great influences on crop yields. However, several researchers have concluded that global warming has taken a “hiatus” in recent years. Here, we hope to identify the temperature trends of the...
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Chapter and Conference Paper
Designing an Artificial Intelligence Platform to Assist Undergraduate in Art and Design to Develop a Personal Learning Plans
This paper presents the initiative design research for develo** a platform based on artificial intelligence technology. Though the platform, the students can be assisted to develop a personal learning plan a...
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Chapter and Conference Paper
Remote Monitoring and Control System for Aquarium Based on Mobile Communication Platform
With the progress of information technology, The small aquarium and its auxiliary equipment, which are used to raise fish, have gradually developed from functionalization to intellectualization. The aquarium e...
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Chapter and Conference Paper
Design and Implementation of Water Spectrum Observation System for Aquaculture Pond
The spectral characteristics of agriculture water can reflect the water quality indirectly. How to observe the spectrum quickly and accurately is basis of evaluating aquaculture water quality by remote sensing...
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Chapter and Conference Paper
Learning Contextual Features with Multi-head Self-attention for Fake News Detection
Automatic fake news detection has attracted great concern in recent years due to it’s tremendous negative impacts on public. Since fake news is usually written to mislead readers, lexical features based method...
