21 Result(s)
within
Computer Science
Information Systems and Communication Service
**ngli Li
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Chapter and Conference Paper
A Summary of Research on China Basic Education Evaluation with the Help of Intelligent Technology
Under the background of China Education Modernization 2035 and Education 4.0, promoting the integration and innovation of intelligent technology and basic education evaluation is the necessary path for educati...
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Chapter and Conference Paper
A Summary Research of the Current Status, Hot Spots and Trends in STEM Education
In the context of the publication of the “Thirteenth Five-Year Plan for Educational Informationization,” and China’s entry into the era of education informatization, the integration of information technology a...
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Chapter and Conference Paper
Exploration and Practice of Operating System Curriculum Reform Based on the Integration of Science and Education
Operating system (OS) is the core control of a computer, which serves as the command and management center of a computer, often referred to as the brain of a computer. Currently, operating systems are an impor...
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Chapter and Conference Paper
Research on the Teaching Model of Interdisciplinary Computational Thinking Cultivating from the Perspective of Problem-Solving
Computational thinking is a thinking process related to formal problems and their solutions, and the development of students’ computational thinking skills is one of the important objectives of basic IT teachi...
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Article
AKUPP: attention-enhanced joint propagation of knowledge and user preference for recommendation systems
As knowledge graphs have attracted enormous attention from researchers, much effort has been invested in recommendation systems to mine user preferences effectively. In particular, knowledge graphs, which conv...
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Article
A learned index for approximate kNN queries in high-dimensional spaces
Approximate k-Nearest Neighbor (kNN) search in high-dimensional spaces is a fundamental problem in computer systems and applications. However, traditional indexes for kNN search do not scale gracefully to mass...
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Chapter and Conference Paper
Cross-Stage Class-Specific Attention for Image Semantic Segmentation
Recent backbones built on transformers capture the context within a significantly larger area than CNN, and greatly improve the performance on semantic segmentation. However, the fact, that the decoder utilize...
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Chapter and Conference Paper
Blind Perceptual Quality Assessment for Single Image Motion Deblurring
Single image deblurring is a typical ill-posed problem. Although a lot of effective algorithms have been proposed, there is a lack of blind evaluation metrics for the perceptual quality of deblurred images. In...
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Chapter and Conference Paper
Automatic Detection of Obstructive Sleep Apnea Based on Multimodal Imaging System and Binary Code Alignment
There are many patients with obstructive sleep apnea syndrome, which has caused concern. When it occurs, the nasal airflow disappears, and the breathing action of the chest and abdomen still exists. Therefore,...
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Chapter and Conference Paper
Hidden Human Target Detection Model Inspired by Physiological Signals
The current object detection algorithms will give unsatisfactory performance on the task of detecting hidden human targets. Therefore, in the current work, we propose a physiological signals powered hidden hum...
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Chapter and Conference Paper
Claw U-Net: A UNet Variant Network with Deep Feature Concatenation for Scleral Blood Vessel Segmentation
Sturge-Weber syndrome (SWS) is a vascular malformation disease, and it may cause blindness if the patient’s condition is severe. Clinical results show that SWS can be divided into two types based on the charac...
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Chapter and Conference Paper
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs
Accelerating the deep learning inference is very important for real-time applications. In this paper, we propose a novel method to fuse the layers of convolutional neural networks (CNNs) on Graphics Processing...
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Chapter and Conference Paper
Blind Quality Assessment Method to Evaluate Cloud Removal Performance of Aerial Image
People often use image-inpainting-based methods to remove cloud from aerial images, but it lacks a targeted quantitative evaluator to assess the removal result. In order to solve this issue to some extent, we ...
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Chapter and Conference Paper
Multi-objective Dynamic Scheduling Model of Flexible Job Shop Based on NSGAII Algorithm and Scroll Window Technology
The production process is often accompanied by a lot of disturbances, which make it difficult for flexible job shop to execute production according to the original job plan. It is necessary to dynamically adju...
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Chapter and Conference Paper
Semi-fragile Watermarking Algorithm Based on Arnold Scrambling for Three-Layer Tamper Localization and Restoration
To protect the content integrity, authenticity and improve the effect of tamper localization and recovery, this paper designs and implements a semi-fragile watermark based on Arnold transformation, which is us...
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Chapter and Conference Paper
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Recently, deep neural networks (DNNs) have been widely applied in mobile intelligent applications. The inference for the DNNs is usually performed in the cloud. However, it leads to a large overhead of transmi...
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Chapter and Conference Paper
Fast CNN Pruning via Redundancy-Aware Training
The heavy storage and computational overheads have become a hindrance to the deployment of modern Convolutional Neural Networks (CNNs). To overcome this drawback, many works have been proposed to exploit redun...
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Article
Multichannel radar adaptive signal detection in interference and structure nonhomogeneity
In this paper, we consider the problem of multichannel radar signal detection in interference and structure nonhomogeneity. The interference is often caused by electromagnetic countermeasure (ECM) systems or i...
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Article
A new fast friendly window-based congestion control for real-time streaming media transmission
Real-time streaming media over the Internet is an important component of multimedia applications. For the sake of quality of service (QoS), they make rigid demands on bandwidth, delay and packet loss. However,...
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Article
MRF based construction of statistical operator and its application
Based on the Markov random field (MRF) theory, a new nonlinear operator is defined according to the statistical information in the image, and the corresponding 2D nonlinear wavelet transform is also provided. ...
