28 Result(s)
within
Conference Paper
Cai**a Zhang
Artificial Intelligence
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Chapter and Conference Paper
Power Data Sharing Model Based on Blockchain and IPFS Storage
With the rapid development of information technology, the electric power industry has also accelerated informatization process. To improve the efficiency of information management and optimize customer service...
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Chapter and Conference Paper
LMConvMorph: Large Kernel Modern Hierarchical Convolutional Model for Unsupervised Medical Image Registration
Medical image registration is a crucial task for numerous medical applications, such as radiation therapy planning and surgical navigation. While deep learning methods have shown promise in improving registrat...
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Chapter and Conference Paper
Trajectory Optimization for UAV-Aided Data Collections
The application of the unmanned aerial vehicles (UAV) in future wireless networks is getting more and more popular. This article investigates the flight trajectory optimization problem with minimum energy cons...
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Chapter and Conference Paper
A Surface Fitting Image Super-Resolution Algorithm Based on Triangle Mesh Partition
High-frequency information such as image edges and textures have an important influence on the visual effect of the super-resolution images. Therefore, it is vital to maintain the edge and texture features of ...
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Chapter and Conference Paper
BIDGAN: Blind Image Deblurring with Improved CycleGAN and Frequency Filtering
The details of images can be severely impaired when they are captured in motion . To overcome such a blind image deblurring problem, we propose a deblurring method based on improved CycleGAN. This method can r...
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Chapter and Conference Paper
Application Research of Interaction Design in Human-Machine Interface of Automobile
With the continuous advancement of technology, the products in people’s lives are becoming more and more intelligent, but the existing automotive HUD (head-up display) on the market simply moves the driver’s s...
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Chapter and Conference Paper
Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation
Despite their outstanding accuracy, semi-supervised segmentation methods based on deep neural networks can still yield predictions that are considered anatomically impossible by clinicians, for instance, conta...
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Chapter and Conference Paper
Modeling and Analysis Brain Development via Discriminative Dictionary Learning
Research on modeling and exploring of the normal brain maturity, such as in vivo study of the anatomy of the develo** brain, can provide references for developmental pathologies. In this paper, we model and ...
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Chapter and Conference Paper
Attention Effects on the Processing of Task-Relevant and Task-Irrelevant Conflict
In the current study, a flanker task was used to explore whether the resolution of cognitive conflict is gated by top-down attention using event-related potentials. Task-relevant and task-irrelevant processing...
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Chapter and Conference Paper
Brain Status Prediction with Non-negative Projective Dictionary Learning
Study on brain status prediction has recently received increasing attention from the research community. In this paper, we propose to tackle brain status prediction by learning a discriminative representation ...
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Chapter and Conference Paper
Assumption Queries Processing of Probabilistic Relational Databases
Many prevail applications, such as data cleaning, sensor networks, tracking moving objects, emerge an increasing demand for managing uncertain data. Probabilistic relational databases support uncertain data ma...
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Chapter and Conference Paper
Correcting Wrongly Determined Opinions of Agents in Opinion Sharing Model
This paper aims at achieving a stable high accuracy of opinion sharing in a distributed network with the agents which have initial opinions. Specifically, the network is composed of multi-agents, and most agen...
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Chapter and Conference Paper
Resonant Analysis and Depression in Multi-inverter Grid-Connection System
Interaction between multiple grid-connected inverters has a negative impact on the stable operation and power quality of the power grid. Interrelated influences of each inverter LCL filter make multiple invert...
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Chapter and Conference Paper
An Efficient Initialization Method for Probabilistic Relational Databases
Probabilistic relational databases play an important role on uncertain data management. Informally, a probabilistic database is a probability distribution over a set of deterministic databases (namely, possibl...
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Chapter and Conference Paper
Extraction of Feature Points on 3D Meshes Through Data Gravitation
Feature points are particularly simple elements which demonstrate a model efficiently and availably; nonetheless, the points on 3D models cannot be extracted completely yet. Therefore, we propose a new algorit...
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Chapter and Conference Paper
Initial Seeds Selection in Dynamic Clustering Method Based on Data Depth
Resorting to the theory of atomic models and the tool of data depth, we propose a novel method for initial seeds selection in dynamic clustering method. We define the cohesion of a point in a given data set, whic...
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Chapter and Conference Paper
An Efficient Conditioning Method for Probabilistic Relational Databases
A probabilistic relational database is a probability distribution over a set of deterministic relational databases (namely, possible worlds). Efficient processing of updating information in probabilistic database...
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Chapter and Conference Paper
Edge Multi-scale Markov Random Field Model Based Medical Image Segmentation in Wavelet Domain
The segmentation algorithms based on MRF often exist edge block effect, and have low operation efficiency by modeling the whole image. To solve the problems the image segmentation algorithm using edge multisca...
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Chapter and Conference Paper
Global Contrast of Superpixels Based Salient Region Detection
Reliable estimation of visual saliency has become an essential tool in image processing. In this paper, we propose a novel salient region detection algorithm, superpixel contrast (SC), consisting of three basi...
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Chapter and Conference Paper
The Techno-Economic Analysis of Reducing NOx of Industrial Boiler by Recycled Flue Gas
The quantity of industrial boiler is huge in our country, consuming the coal is about 350Mt/a, so a large number of NOx is emitted every year. It is a complex technology to reduce the emission of NOx. There ar...
