87 Result(s)
within
English
Yu. Li
Chapter
Computer Science
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Chapter and Conference Paper
Structured and Quantitative Research on Scenario of Firefighting and Rescue Cases
Structurization and quantization is the key to establish the “scenario-response” reasoning system based on digital scenario matrix of firefighting and rescue cases. Hierarchical index structure based on scenar...
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Chapter and Conference Paper
Research on Reasoning Model of Firefighting and Rescue Cases
Based on creating the digital scenario matrix of firefighting cases, this paper proposes four matrix-based drive reasoning models including “type - process” drive, “type - problem” drive, “type - countermeasur...
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Chapter and Conference Paper
A Contrast Enhancement Framework with JPEG Artifacts Suppression
Contrast enhancement is used for many algorithms in computer vision. It is applied either explicitly, such as histogram equalization and tone-curve manipulation, or implicitly via methods that deal with degrad...
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Chapter and Conference Paper
Fuzzy Association Rule Mining with Type-2 Membership Functions
In this paper, a fuzzy association rule mining approach with type-2 membership functions is proposed for dealing with data uncertainty. It first transfers quantitative values in transactions into type-2 fuzzy ...
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Chapter and Conference Paper
Feature Fusion of Gradient Direction and LBP for Facial Expression Recognition
Feature extraction is an important step in facial expression recognition. A novel method is proposed based on feature fusion which combines gradient direction and LBP features. Firstly, eyes are located throug...
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Chapter and Conference Paper
Analysis of Reclaiming Process of Bucket Wheel Stacker-Reclaimer Based on DEM Simulation
The design of bucket wheel mechanism of bucket wheel stacker-reclaimer mainly refers to the bucket wheel excavator’s design specifications, which is rather conservative. To expand the research of this area, th...
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Chapter and Conference Paper
Oriented Online Route Recommendation for Spatial Crowdsourcing Task Workers
Emerging spatial crowdsourcing platforms enable the workers (i.e., crowd) to complete spatial crowdsourcing tasks (like taking photos, conducting citizen journalism) that are associated with rewards and tagged...
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Chapter and Conference Paper
A Segmented Artificial Bee Colony Algorithm Based on Synchronous Learning Factors
In this paper, we propose a segmented ABC algorithm based on synchronous learning factors (SABC). For the problem of inferior local search ability and low convergence precision in the artificial bee colony (AB...
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Chapter and Conference Paper
Fast Guided Global Interpolation for Depth and Motion
We study the problems of upsampling a low-resolution depth map and interpolating an initial set of sparse motion matches, with the guidance from a corresponding high-resolution color image. The common objectiv...
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Chapter and Conference Paper
Predicting Clinical Outcomes of Alzheimer’s Disease from Complex Brain Networks
Brain network modelling has been shown effective to study the brain connectivity in Alzheimer’s disease (AD). Although the topological features of AD affected brain networks have been widely investigated, com...
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Chapter and Conference Paper
Collaborative Dictionary Learning and Soft Assignment for Sparse Coding of Image Features
In computer vision, the bag-of-words (BoW) model has been widely applied to image related tasks, such as large scale image retrieval, image classification, and object categorization. The sparse coding (SC) met...
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Chapter and Conference Paper
Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm
The diesel engine fault data is nonlinear and it’s difficult to extract the characteristic information. Kernel Principal Component Analysis (KPCA) is used to extract features of nonlinear data, only considerin...
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Chapter and Conference Paper
Estimating Interactions of Functional Brain Connectivity by Hidden Markov Models
The brain activity reflected by functional magnetic resonance imaging (fMRI) is temporally organized as a combination of sensory inputs from environment and its own spontaneous activity. However, temporal patt...
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Chapter and Conference Paper
Vulnerability Assessment for Unmanned Systems Autonomy Services Architecture
Unmanned Systems Autonomy Services (UxAS) is a set of networked software modules that collaboratively automate mission-level decision making for unmanned systems. Proposed, developed, and publicized by United ...
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Chapter and Conference Paper
SecHome: A Secure Large-Scale Smart Home System Using Hierarchical Identity Based Encryption
With the rapid development of Cyber-Physical Systems, there has been a growing trend among smart devices to connect networks via different wireless protocols. In particular, smart home devices are becoming mor...
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Chapter and Conference Paper
A Proposed Adaptive Rate Algorithm to Administrate the Video Buffer Occupancy for Smooth Video Streaming
Video streaming has become an irreplaceable technology in modern smart devices especially with the appearance of dynamic streaming over HTTP (DASH). However, the fluctuating and instability of wireless networ...
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Chapter and Conference Paper
A New Scheme for QoE Management of Live Video Streaming in Cloud Environment
Live video streaming process consumes very large data storage and takes very long time, so it requires big data storage and computing infrastructures for implementation. Accordingly, the use of cloud computing...
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Chapter and Conference Paper
Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space
Magnetic Resonance Imaging (MRI) typically collects data below the Nyquist sampling rate for imaging acceleration. To remove aliasing artifacts, we propose a multi-channel deep generative adversarial network (...
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Chapter and Conference Paper
Detecting Suspicious Members in an Online Emotional Support Service
Online emotional support systems provide free support to individuals who experience stress, anxiety, and depression by bridging individuals (i.e., users) with a crowd of voluntary paraprofessionals. While most...
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Chapter and Conference Paper
L2R-QA: An Open-Domain Question Answering Framework
Open-domain question answering has always being a challenging task. It involves information retrieval, natural language processing, machine learning, and so on. In this work, we try to explore some comparable ...
