51 Result(s)
within
Computer Science
**nlong Yang
Chapter
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Chapter and Conference Paper
Condition Monitoring of Wind Turbine Anemometers Based on Combined Model Deep Learning
The dynamic working environment brings challenges to the condition monitoring of anemometers. To accurately grasp the actual performance status of wind turbines (WTs) and timely detect anemometer faults, a com...
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Chapter and Conference Paper
Does Trust Improve Commercial Insurance Participation Behavior?
Based on data from the China Family Panel Studies micro-social survey, this paper empirically analyzes the influence of trust on commercial insurance participation. The results demonstrate that trust significa...
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Chapter
Open Issues
In this chapter, we will discuss three important open issues, which can further enable readers to understand this monograph from a more comprehensive perspective.
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Chapter
Conclusions
In this monograph, we have introduced the latest research about urban crowdsensing. Specifically, in Part I, we focused on utilizing crowdsensing to sense the smart city in terms of fundamental issues of three...
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Chapter
Incentivizing Platform-Users with Win-Win Effects
To ensure the effectiveness of crowdsensing, it is of vital importance to incentivize the interactions of participants and platforms. However, existing approaches are incapable of personalized bidding (PB), i.e.,...
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Data Transmission Empowered by Edge Computing
Intelligent Transportation Systems (ITSs) have been applied in a wide range to provide traffic sensing data for various smart traffic applications. However, the missing data, which is inevitable and ubiquitous...
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Urban Traffic Application: Traffic Volume Prediction
As smart cities and smart buildings develop rapidly, they generate a large number of building sensing data by the equipped sensors. There is no doubt that building sensing data shines a bright future to enrich...
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Chapter and Conference Paper
Community Detection Based on Enhancing Graph Autoencoder with Node Structural Role
The representation learning approach aims to obtain a low-dimensional representation of nodes and accomplish community detection by clustering. Adjacency matrix is the most common form of network representatio...
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Task Recommendation Based on Big Data Analysis
With the prevalence of Mobility-on-Demand (MOD) vehicles, MOD-Vehicular-Crowdsensing (MOVE-CS) was brought in and has become a whole new market. By MOVE-CS, drivers can make more money by gathering road data. ...
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Environmental Protection Application: Urban Pollution Monitoring
The application of crowd-sensing networks is a low-cost and promising approach to identify low-level radiation sources, which is rather crucial for the security and protection of modern cities. Nevertheless, i...
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Airborne Sensing Application: Reusing Delivery Drones
Due to the expanding number and massive coverage, delivery drones with various sensors, have shown huge yet unexplored potentials in large-scale and low-cost urban crowdsensing in terms of package delivery. We...
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Chapter and Conference Paper
Augmented Topic-Specific Summarization for Domain Dialogue Text
This paper describes HW-TSC’s submission to the NLPCC 2022 dialogue text summarization task. We convert it into a sub-summary generation and a topic detection task. A sequence-to-sequence model Transformer is ...
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Chapter and Conference Paper
Multi-strategy Enhanced Neural Machine Translation for Chinese Minority Languages
This paper presents HW-TSC’s submissions to CCMT 2022 Chinese Minority Language Translation task. We participate in three language directions: Mongolian ...
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Chapter and Conference Paper
Capacity Analysis of Ambient Backscatter System with Bernoulli Distributed Excitation
In recent years, building Internet of Things (IoT) systems through backscatter communication techniques has gained rapid popularity. Backscatter communication relying on passive reflections of the existing RF ...
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Chapter and Conference Paper
Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences
Anterior chamber angle (ACA) classification is a key step in the diagnosis of angle-closure glaucoma in Anterior Segment Optical Coherence Tomography (AS-OCT). Existing automated analysis methods focus on a bi...
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Chapter
Fruit Shape 3D Printing Based on Wavelet Interpolation Modeling
In order to build a large model database for fruit 3D printing and require (1) sampling data is as simple as possible; (2) data volume and data structure are unified; (3) modeling method has multi-resolution c...
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Chapter and Conference Paper
Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network
Automated extraction of cerebrovascular is of great importance in understanding the mechanism, diagnosis, and treatment of many cerebrovascular pathologies. However, segmentation of cerebrovascular networks fr...
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Chapter and Conference Paper
Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images
Automated classification of retinal artery (A) and vein (V) is of great importance for the management of eye diseases and systemic diseases. Traditional colour fundus images usually provide a large field of vi...
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Chapter and Conference Paper
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Anomaly detection in retinal image refers to the identification of abnormality caused by various retinal diseases/lesions, by only leveraging normal images in training phase. Normal images from healthy subject...
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Chapter and Conference Paper
Online DAG Scheduling with On-Demand Function Configuration in Edge Computing
Modern applications in mobile computing become increasingly complex and computation intensive. Task offloading from mobile devices to the cloud is more and more frequent. Edge Computing, deploying relatively s...
